An Absolute Requirement for Precision Medicine Humanized Organ Study
>>Hello everybody. I am Toshihiko Nishimura from Stanford. University is there to TTT out here, super aging, global OMIM global transportation group about infections, uh, or major point of concerns. In addition, this year, we have the COVID-19 pandemic. As you can see here, while the why the new COVID-19 patients are still increasing, meanwhile, case count per day in the United state, uh, beginning to decrease this pandemic has changed our daily life to digital transformation. Even today, the micro segmentation is being conducted online and doctor and the nurse care, uh, now increase to telemedicine. Likewise, the drug development process is in need of major change paradigm shift, especially in vaccine in drug development for COVID-19 is, should be safe, effective, and faster >>In the >>Anastasia department, which is the biggest department in school of medicine. We have Stanford, a love for drug device development, regulatory science. So cold. Say the DDT RDS chairman is Ron Paul and this love leaderships are long mysel and stable shaper. In the drug development. We have three major pains, one exceedingly long duration that just 20 years huge budget, very low success rate general overview in the drug development. There are Discoverly but clinical clinical stage, as you see here, Tang. Yes. In clinical stage where we sit, say, what are the programs in D D D R S in each stages or mix program? Single cell programs, big data machine learning, deep learning, AI mathematics, statistics programs, humanized animal, the program SNS program engineering program. And we have annual symposium. Today's the, my talk, I do like to explain limitation of my science significance of humanized. My science out of separate out a program. I focused on humanized program. I believe this program is potent game changer for drug development mouse. When we think of animal experiment, many people think of immediately mouse. We have more than 30 kinds of inbred while the type such as chief 57, black KK yarrow, barber C white and so on using QA QC defined. Why did the type mice 18 of them gave him only one intervention using mouse, genomics analyzed, computational genetics. And then we succeeded to pick up fish one single gene in a week. >>We have another category of gene manipulated, mice transgenic, no clout, no Kamal's group. So far registered 40,000 kind as over today. Pretty critical requirement. Wrong FDA PMDA negative three sites are based on arteries. Two kinds of animal models, showing safety efficacy, combination of two animals and motel our mouse and the swine mouse and non-human primate. And so on mouse. Oh, Barry popular. Why? Because mouse are small enough, easy to handle big database we had and cost effective. However, it calls that low success rate. Why >>It, this issue speculation, low success rate came from a gap between preclinical the POC and the POC couldn't stay. Father divided into phase one. Phase two has the city FDA unsolved to our question. Speculation in nature biology using 7,372 new submissions, they found a 68 significant cradle out crazy too, to study approved by the process. And in total 90 per cent Radia in the clinical stages. What we can surmise from this study, FDA confirmed is that the big discrepancy between POC and clinical POC in another ward, any amount of data well, Ms. Representative for human, this nature bio report impacted our work significantly. >>What is a solution for this discrepancy? FDA standards require the people data from two species. One species is usually mice, but if the reported 90% in a preclinical data, then huge discrepancy between pretty critical POC in clinical POC. Our interpretation is data from mice, sometime representative, actually mice, and the humor of different especially immune system and the diva mice liver enzyme are missing, which human Liba has. This is one huge issue to be taught to overcome this problem. We started humanized mice program. What kind of human animals? We created one humanized, immune mice. The other is human eyes, DBA, mice. What is the definition of a humanized mice? They should have human gene or human cells or human tissues or human organs. Well, let me share one preclinical stages. Example of a humanized mouse that is polio receptor mice. This problem led by who was my mentor? Polio virus. Well, polio virus vaccine usually required no human primate to test in 13 years, collaboration with the FDA w H O polio eradication program. Finally FDA well as w H O R Purdue due to the place no human primate test to transgenic PVL. This is three. Our principle led by loss around the botch >>To move before this humanized mouse program, we need two other bonds donut outside your science, as well as the CPN mouse science >>human hormone, like GM CSF, Whoah, GCSF producing or human cytokine. those producing emoji mice are required in the long run. Two maintain human cells in their body under generation here, South the generation here, Dr. already created more than 100 kinds based on Z. The 100 kinds of Noe mice, we succeeded to create the human immune mice led the blood. The cell quite about the cell platelets are beautifully constituted in an mice, human and rebar MAs also succeeded to create using deparent human base. We have AGN diva, humanized mouse, American African human nine-thirty by mice co-case kitchen, humanized mice. These are Hennessy humanized, the immune and rebar model. On the other hand, we created disease rebar human either must to one example, congenital Liba disease, our guidance Schindel on patient model. >>The other model, we have infectious DDS and Waddell council Modell and GVH Modell. And so on creature stage or phase can a human itemize apply. Our objective is any stage. Any phase would be to, to propose. We propose experiment, pose a compound, which showed a huge discrepancy between. If Y you show the huge discrepancy, if Y is lucrative analog and the potent anti hepatitis B candidate in that predict clinical stage, it didn't show any toxicity in mice got dark and no human primate. On the other hand, weighing into clinical stage and crazy to October 15, salvage, five of people died and other 10 the show to very severe condition. >>Is that the reason why Nicole traditional the mice model is that throughout this, another mice Modell did not predict this severe side outcome. Why Zack humanized mouse, the Debar Modell demonstrate itself? Yes. Within few days that chemistry data and the puzzle physiology data phase two and phase the city requires huge number of a human subject. For example, COVID-19 vaccine development by Pfizer, AstraZeneca Moderna today, they are sample size are Southeast thousand vaccine development for COVID-19. She Novak UConn in China books for the us Erica Jones on the Johnson in unite United Kingdom. Well, there are now no box us Osaka Osaka, university hundred Japan. They are already in phase two industry discovery and predict clinical and regulatory stage foster in-app. However, clinical stage is a studious role because that phases required hugely number or the human subject 9,000 to 30,000. Even my conclusion, a humanized mouse model shortens the duration of drug development humanize, and most Isabel, uh, can be increase the success rate of drug development. Thank you for Ron Paul and to Steven YALI pelt at Stanford and and his team and or other colleagues. Thank you for listening.
SUMMARY :
case count per day in the United state, uh, beginning to decrease the drug development. our mouse and the swine mouse and non-human primate. is that the big discrepancy between POC and clinical What is the definition of a humanized mice? On the other hand, we created disease rebar human other 10 the show to very severe condition. that phases required hugely number or the human subject 9,000
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Ron Paul | PERSON | 0.99+ |
FDA | ORGANIZATION | 0.99+ |
October 15 | DATE | 0.99+ |
Pfizer | ORGANIZATION | 0.99+ |
Toshihiko Nishimura | PERSON | 0.99+ |
90% | QUANTITY | 0.99+ |
Two kinds | QUANTITY | 0.99+ |
9,000 | QUANTITY | 0.99+ |
two animals | QUANTITY | 0.99+ |
20 years | QUANTITY | 0.99+ |
One species | QUANTITY | 0.99+ |
two species | QUANTITY | 0.99+ |
100 kinds | QUANTITY | 0.99+ |
United Kingdom | LOCATION | 0.99+ |
7,372 new submissions | QUANTITY | 0.99+ |
13 years | QUANTITY | 0.99+ |
Steven YALI | PERSON | 0.99+ |
nine-thirty | QUANTITY | 0.99+ |
90 per cent | QUANTITY | 0.99+ |
Today | DATE | 0.99+ |
today | DATE | 0.98+ |
30,000 | QUANTITY | 0.98+ |
COVID-19 | OTHER | 0.98+ |
more than 30 kinds | QUANTITY | 0.98+ |
Barry | PERSON | 0.98+ |
this year | DATE | 0.98+ |
Two | QUANTITY | 0.98+ |
more than 100 kinds | QUANTITY | 0.98+ |
68 significant cradle | QUANTITY | 0.98+ |
Stanford | ORGANIZATION | 0.98+ |
pandemic | EVENT | 0.98+ |
one single gene | QUANTITY | 0.98+ |
Zack | PERSON | 0.98+ |
Single | QUANTITY | 0.97+ |
40,000 kind | QUANTITY | 0.97+ |
China | LOCATION | 0.97+ |
AstraZeneca Moderna | ORGANIZATION | 0.97+ |
hepatitis B | OTHER | 0.97+ |
five of people | QUANTITY | 0.96+ |
18 | QUANTITY | 0.96+ |
United state | LOCATION | 0.96+ |
Schindel | PERSON | 0.96+ |
Kamal | PERSON | 0.96+ |
one intervention | QUANTITY | 0.95+ |
COVID-19 pandemic | EVENT | 0.95+ |
polio virus | OTHER | 0.95+ |
two other bonds | QUANTITY | 0.95+ |
one example | QUANTITY | 0.94+ |
one | QUANTITY | 0.93+ |
Polio virus | OTHER | 0.93+ |
10 | QUANTITY | 0.93+ |
Anastasia | ORGANIZATION | 0.93+ |
Isabel | PERSON | 0.92+ |
Japan | LOCATION | 0.91+ |
three sites | QUANTITY | 0.91+ |
DDS | ORGANIZATION | 0.91+ |
Osaka | LOCATION | 0.88+ |
three | QUANTITY | 0.87+ |
GCSF | OTHER | 0.86+ |
phase two | QUANTITY | 0.86+ |
OMIM | ORGANIZATION | 0.86+ |
each stages | QUANTITY | 0.85+ |
a week | QUANTITY | 0.78+ |
57 | QUANTITY | 0.77+ |
Liba | OTHER | 0.76+ |
Tang | PERSON | 0.76+ |
Hennessy | PERSON | 0.76+ |
Nicole | PERSON | 0.75+ |
one huge issue | QUANTITY | 0.75+ |
Waddell council | ORGANIZATION | 0.73+ |
Precision Medicine | ORGANIZATION | 0.72+ |
DDT RDS | ORGANIZATION | 0.72+ |
American African | OTHER | 0.71+ |
Modell | COMMERCIAL_ITEM | 0.71+ |
GM CSF | OTHER | 0.71+ |
PVL | OTHER | 0.68+ |
Erica Jones | PERSON | 0.67+ |
FDA PMDA | ORGANIZATION | 0.66+ |
Phase two | QUANTITY | 0.61+ |
UConn | LOCATION | 0.61+ |
phase two | QUANTITY | 0.61+ |
Stanford | LOCATION | 0.59+ |
phase one | QUANTITY | 0.57+ |
GVH | ORGANIZATION | 0.57+ |
Novak | ORGANIZATION | 0.54+ |
Andrew Christensen, Global Data Centres, Study Group - VeeamOn 2017 - #VeeamOn - #theCUBE
>> Narrator: Live from New Orleans, it's theCube, covering VeeamON 2017. Brought to you by Veeam. >> We're back at VeeamON 2017 in New Orleans. Andrew Christensen is here. He's a senior systems engineer with the Global Data Centres Study Group, higher ed organization. Andrew, welcome to theCube, thanks for coming on. >> Thank you very much for having me. >> You're welcome. So interesting name, tell us about the organization. >> Study Group, Study Group began life as a small education college in the UK, about 15 years ago. Over the time, we've grown to a global organization. We take on about 85,000 students a year, from close on 160 countries. We have 85 sites around the world, very much a global footprint, very thin corporate terms and in IT terms. >> Okay, is this your first VeeamOn? >> No, it's not. I came to the previous one in Las Vegas, and that experience meant that I had to come back to this one in New Orleans. >> Really, why? Tell us about that. >> It's a great experience. They know how to do their events very well. The information is first class, and as a Veeam product user the information and the experience, in the room available to you is wonderful. >> How long have you been a Veeam customer? How did you... Tell us about your journey. >> Well, our journey, we were very much in the legacy ballpark of backups. We had some unnamed products that we were using, which were very old school in their thinking and how they did things. We realized quickly that the amount of data that we took on was growing and it was going to outpace our capacity for backup, and the simplicity and complexity was growing too fast for us, couldn't manage it. It wasn't going to be feasible, went to market to start looking for a better solution, and Veeam was top of the list. >> So, you mentioned data growth as one of the catalysts for, which created more problems, obviously for your backup, made it harder meet, maybe it was backup windows at the time, or RPO and RTO. Did your decision to change your backup also coincide with an increase in virtualization? And did that have a ripple effect? Can you explain, we've been talking about that all week, but I'd like to validate it with a practitioner. >> No, spot on there. We virtualized quite early on in the grand scheme of things. We went to VMware very quickly, we're now running Hypervisor with a vShpere 5.5 environment. Now that was a well good, I don't think the practices that we took in and a lot of the infrastructure alongside that kept up with that, backups is one of those things. And when we started looking at what we needed, to really work with our environment, get the most out of our virtualization project, we needed to do something very quickly and backups is a key feature. >> Andrew, as a global organization, how does Cloud fit into your architecture, what you're doing, maybe you can kind of sketch out a little bit for... So we know where Cloud fits. >> Our solution, although quite simple in principle, it's never simple, let's face it, anything IT, especially in the engineering scope guide, never simple. >> Dave: This keeps getting more complicated. >> Exactly right, and you know for better or worse, that's how we do these things, especially when it comes to a Cloud scenario. You add a little bit of complexity, but often it pans out to be worthwhile, especially in dollar value. Our solution takes local backups in a hub and spoke concept, our data center as being the hub, and our branch starts being the spoke, consolidate the data from all the sites, hold a decent amount of data as backup onsite, and then everything else will actually ship out to the Cloud, and that being AWS in Glacier storage. Now that came about mostly because our core data center is in Las Vegas, that we have no hands on site. So we didn't really have the option of a manual tape service, a paid for service, very expensive. So we needed to shift away from your old school, typical tape service environment. Having good bandwidth in Las Vegas, and availability to get to the AWS readings, made it a good solution for us. Our tool to do that, already in place with Veeam, made it very simple. >> So what are you... So your target is Glacier? >> Correct, yes. So long term retention, and legal retention especially, we push everything out to Glacier to fill that need for us. >> And okay, so that's the last thing, maybe I missed it, there's something in between obviously, if you need to do a recovery right? >> Correct, so we keep some local storage as well, depending on the environment and the data itself, we'll keep it locally on site in our racks for a certain amount of time, maybe a year, maybe two years depending on some of the data. Everything else has a duplicate and a long term, goes out to AWS. >> Alright, there were a couple of announcements this week about AWS and also about Glacier. What did you hear? What interests you? >> Well, I mean the V10 announcement and its interaction with AWS, hooking in your AWS accounts to s3 Glacier and what not, very promising, very promising, very excited. I'm going to hit up my account manager for a trial on that very soon, cuz that could simplify our process, and I imagine a lot of other people with hybrid cloud scenarios will leverage it as well. For those people that have work loads in AWS, the agentless backup function, very promising. It's a logical step I think, in the partnership that's built that is very logical as well, it's going to help a lot of people. >> What is driving, in your industry, the availability needs and how has that evolved over the last couple of years? >> Well, it's a catch 22, for us data security is paramount, a student come to us, they sign up for a course, in a lot of cases it'll be an international student. Now that's a well and good, but when we look at the data that we take from that student to get them into a course, it's essentially a how to kit for data theft and identity theft. So we need to protect our data very well, you know, we've got a lot of personal information, we've got passport photos, we've got visa replications, the whole shabang. So being able to make sure that A, it's available to the people that need it, so that they can get them into their courses, get them learning stuff, which is what our ideal is, and making sure it's secure, no matter where we put it, backups, availability, all that sort of stuff, needs to be secure. So a solution then at all has to incorporate that as easily as possible. >> Bill Philbin was asking the audience this morning, have you ever had to do a recovery? He said about a third of the audience's hands went up, presuming your hand was up. >> Yes we have. We've both tested, and we actually had incidents where we've had malware come to the business in certain aspects and having a good recovery point on site, and a quick easy interface, the single pane of glass, to coin a pro word of the moment, was very useful. You know, stops the heart a little bit when it does happen, but after you go through the hoops, and you understand what you're doing with the product, it really does give you a sense of security. >> You know, large organizations, big banks and the money business for example, they have very explicit disaster recovery plans, they might have three site data centers, they get gobs of money they can throw at this stuff. Higher education tends to be, a little tighter with the budget, fair to say, but also a lot of smaller and mid size organizations, I think it's fair to put you in that category, oftentimes had very little, if any, sometimes data... Disaster recovery, and what they've done is when they re-architected the backup, they said, you know we can kill two birds with one stone. And so to bring those two worlds together. Is that what you did? And how would you describe it? >> I'd call our solution a bit of a hybrid, in line with the backup scenario that we do have, both offsite and hybrid cloud scenario, we also do a DR solution internally. So we have a data center in Las Vegas, we also have one in Sydney. So we do take some DR concepts down to Sydney to hold on to that, very limited. Your bang for buck with DR, it's very hard to justify when you go to manage it and say, well you know, the cost of failure needs to be calculated here. It's very difficult to make that argument successfully. So having a tool, that we already used, that could also do that, very helpful in the first place. You're right in that we are an SMB in the traditional sense and the feature set that does come with Veeam, is quite good for that I think. We're quite OPIC shy, as a tradition, so being able to put a little bit of infrastructure in place, and sort of pre-purchase these things, get the cost out of the way, with CapEx, helped us a lot. So, no more licensing involved, Veeam took care of it in house already, and a little bit of expenditure took that solution very well for us. >> Enter one of the interesting discussions we've seen in the last few years when we talk in the education realm is the importance of data and how can you leverage that data? Of course, we talked about some of the security aspects. How has the role of data changed in your world? >> It's a bit of a catch 22. It's recognized that we do take on a lot of data. How we use that, it's an ongoing question. I mean people have put a lot of BA type roles in place to try and leverage that a bit further, get some use out of it. We have this data, it should be an asset to us. It's very difficult to do successfully I think. People don't really know the questions to ask, of their data. You know, maybe there's a bit of thought leadership or some extra disruptive technology that should come along and help that out a little bit. I think in the near future, it will be a very big question there to be answered and a lot of demands can be met by that. >> How about your students? You know, there's got to be, from all the devices, what kind of pressures does that put on the IT role? >> Well, it's substantial, I mean in our particular role, especially in the UK and Europe, we actually house our students. So, everything from living aspects to education whatnot, everything is handled by us. So their safekeeping, or their lifestyle, their quality of life and such. Now, in today's modern age, you now have two iPads, you have a Chromebook, you have an iPhone and whatnot, all that needs to be handled by us in a secure fashion. The data that comes from that, the content that gets delivered to the students, both privately and during their education, it needs to be both readily available and useful. Making it available to the students, as well as protecting them I suppose, in a secure fashion, making sure that the data that they hand out over these networks and use is safe. That's a big concern to us. >> So a lot of talk this week about ransomware of course. A guy in your position, talk about make the heart stop a little bit. How do you look at that problem? What solutions do you have? And what would you like to see the industry do? >> It's a difficult question. There's no easy answer to that at all. Recently we've heard a lot about machine learning and predictive analytics and whatnot. We use some products that do real time assessment of file stores, file usage, and whatnot, and predict excess usage I suppose. All of a sudden you can start seeing if there are extra files being encrypted very quickly. You can take action based on that, so these are a clear sign of ransomware. That said, we educate a lot of young people, we educate a lot of young people in IT as well. We have identified that a key threat is often going to be from internal. How we protect against that has really shifted our mindset a fair bit. A lot more legislation is coming in, in the UK especially, starting to come in in the US and Austral-Asia, and the requirement for that is only going to grow. It's a challenge that I can't really say in the future how we're going to predict it and act on it, but it is always going to be in front of mind. >> Do you think you could use your backup data, because essentially you're pushing change data over the network, you know, constantly, or at least multiple times per day I presume, right. Do you have the tooling to monitor that activity and identify anomalous behavior, where maybe you're pushing more data, or you're seeing more encrypted data going at a particular time. Do the tools exist to do that today? >> To an extent yes, getting them all together, to be viewable and visible data for your technician, your engineers and whatnot is a bit of a challenge I think. Anti-virus and security software is out there that can do this for you. Also, the data analytics tools, they're out there at the moment. VeeamONE is actually a useful tool on that front, can help us out a lot there. Making sure that the person responsible or looking for that trend knows where to go and has a good single pane of glass per say to actually identify issues. I think that's the key. >> Could you... Another, I've been thinking about sort of how to solve this problem. Could you put like phantom files out there in the network? Phantom high value files like, student credit card list. >> Andrew: You mean the honey pot scenario? >> Yeah use it as a honeypot, yeah. >> Absolutely, I mean a lot of the more enterprise size corporations are doing this, and you can actually leverage that, take them on as a service if you need to. There are companies out there that will offer this service to you. It is quite expensive for what it is, and yet when we calculate the cost of failure, I think the expense might be justified. >> Well like you said, it's hard. Your CapEx, CapEx phobic, I forget what you said, but I'll say CapEx phobic, challenged. Okay, we're out of time so the last question. Takeaways from VeeamON 2017, things that you're excited about? >> Once again, the AWS announcements in v10 and the partnerships coming from that, very exciting, very exciting. Looking forward to that, to being able to test it a little bit. The feature set that keeps growing. When we started out in 8.5, then 8.5 went on to 9.5, and the growth from 8.5 to 995 and now 10 on the horizon, it's massive. If they continue this growth it's going to be one of the best products out there. I'm very happy about that. >> Alright Andrew, thanks very much. Appreciate it. >> Thanks very much for having me. >> You're welcome. Alright keep it right there everybody, Stu and I will be back with our next guest, right after this short break. This is theCUBE, we're live from VeeamON in New Orleans.
SUMMARY :
Brought to you by Veeam. We're back at VeeamON 2017 in New Orleans. So interesting name, tell us about the organization. We have 85 sites around the world, and that experience meant that I had to come back Tell us about that. in the room available to you is wonderful. How long have you been a Veeam customer? We realized quickly that the amount of data that we took on but I'd like to validate it with a practitioner. that we took in and a lot of the infrastructure So we know where Cloud fits. especially in the engineering scope guide, never simple. and our branch starts being the spoke, So your target is Glacier? we push everything out to Glacier to fill that need for us. depending on the environment and the data itself, What did you hear? the agentless backup function, very promising. So we need to protect our data very well, you know, have you ever had to do a recovery? and a quick easy interface, the single pane of glass, I think it's fair to put you in that category, the cost of failure needs to be calculated here. How has the role of data changed in your world? People don't really know the questions to ask, the content that gets delivered to the students, And what would you like to see the industry do? and the requirement for that is only going to grow. over the network, you know, constantly, Making sure that the person responsible how to solve this problem. Absolutely, I mean a lot of the more Your CapEx, CapEx phobic, I forget what you said, and the growth from 8.5 to 995 and now 10 on the horizon, Alright Andrew, thanks very much. Stu and I will be back with our next guest,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dave | PERSON | 0.99+ |
Andrew | PERSON | 0.99+ |
Bill Philbin | PERSON | 0.99+ |
Sydney | LOCATION | 0.99+ |
Andrew Christensen | PERSON | 0.99+ |
UK | LOCATION | 0.99+ |
US | LOCATION | 0.99+ |
New Orleans | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
Europe | LOCATION | 0.99+ |
two years | QUANTITY | 0.99+ |
Stu | PERSON | 0.99+ |
8.5 | QUANTITY | 0.99+ |
Veeam | ORGANIZATION | 0.99+ |
9.5 | QUANTITY | 0.99+ |
CapEx | ORGANIZATION | 0.99+ |
85 sites | QUANTITY | 0.99+ |
iPhone | COMMERCIAL_ITEM | 0.99+ |
first | QUANTITY | 0.99+ |
10 | QUANTITY | 0.99+ |
VeeamON | ORGANIZATION | 0.99+ |
Chromebook | COMMERCIAL_ITEM | 0.99+ |
a year | QUANTITY | 0.99+ |
two | QUANTITY | 0.99+ |
Global Data Centres Study Group | ORGANIZATION | 0.99+ |
Global Data Centres | ORGANIZATION | 0.98+ |
Study Group | ORGANIZATION | 0.98+ |
995 | QUANTITY | 0.98+ |
iPads | COMMERCIAL_ITEM | 0.98+ |
both | QUANTITY | 0.98+ |
two birds | QUANTITY | 0.98+ |
160 countries | QUANTITY | 0.97+ |
today | DATE | 0.97+ |
Austral-Asia | LOCATION | 0.97+ |
one | QUANTITY | 0.97+ |
one stone | QUANTITY | 0.96+ |
this week | DATE | 0.96+ |
two worlds | QUANTITY | 0.96+ |
Cloud | TITLE | 0.96+ |
Glacier | TITLE | 0.96+ |
VeeamOn | ORGANIZATION | 0.94+ |
first class | QUANTITY | 0.94+ |
about 85,000 students a year | QUANTITY | 0.92+ |
VeeamON 2017 | EVENT | 0.92+ |
Glacier | LOCATION | 0.92+ |
about 15 years ago | DATE | 0.91+ |
last | DATE | 0.91+ |
vShpere 5.5 | TITLE | 0.91+ |
2017 | DATE | 0.9+ |
three site | QUANTITY | 0.89+ |
years | DATE | 0.89+ |
this morning | DATE | 0.86+ |
V10 | COMMERCIAL_ITEM | 0.85+ |
Hypervisor | TITLE | 0.84+ |
VeeamOn | EVENT | 0.84+ |
2017 | EVENT | 0.81+ |
Loris Degioanni | AWS Startup Showcase S2 Ep 1 | Open Cloud Innovations
>>Welcoming into the cubes presentation of AWS startup showcase open cloud innovations. This is season two episode one of the ongoing series covering exciting hot startups from the AWS ecosystem. Today's episode. One of season two theme is open source community and the open cloud innovations. I'm your host, John farrier of the cube. And today we're excited to be joined by Loris Dajani who is the C T O chief technology officer and founder of cystic found that in his backyard with some wine and beer. Great to see you. We're here to talk about Falco finding cloud threats in real time. Thank you for joining us, Laura. Thanks. Good to see you >>Love that your company was founded in your backyard. Classic startup story. You have been growing very, very fast. And the key point of the showcase is to talk about the startups that are making a difference and, and that are winning and doing well. You guys have done extremely well with your business. Congratulations, but thank you. The big theme is security and as organizations have moved their business critical applications to the cloud, the attackers have followed. This is Billy important in the industry. You guys are in the middle of this. What's your view on this? What's your take? What's your reaction? >>Yeah. As we, as a end ecosystem are moving to the cloud as more and more, we are developing cloud native applications. We relying on CACD. We are relying on orchestrations in containers. Security is becoming more and more important. And I would say more and more complex. I mean, we're reading every day in the news about attacks about data leaks and so on. There's rarely a day when there's nothing major happening and that we can see the press from this point of view. And definitely things are evolving. Things are changing in the cloud. In for example, Cisco just released a cloud native security and usage report a few days ago. And the mundane things that we found among our user base, for example, 60, 66% of containers are running as rude. So still many organizations adopting a relatively relaxed way to deploy their applications. Not because they like doing it, but because it tends to be, you know, easier and a little bit with a little bit less ration. >>We also found that that 27% of users unnecessary route access in the 73% of the cloud accounts, public has three buckets. This is all stuff that is all good, but can generate consequences when you make a mistake, like typically, you know, your data leaks, no, because of super sophisticated attacks, but because somebody in your organization forgets maybe some data on it on a public history bucket, or because some credentials that are not restrictive enough, maybe are leaked to another team member or, or, or a Gita, you know, repository or something like that. So is infrastructures and the software becomes a let's a more sophisticated and more automated. There's also at the same time, more risks and opportunities for misconfigurations that then tend to be, you know, very often the sewers of, of issues in the cloud. >>Yeah, those self-inflicted wounds definitely come up. We've seen people leaving S3 buckets open, you know, it's user error, but, you know, w w those are small little things that get taken care of pretty quickly. That's just hygiene. It's just discipline. You know, most of the sophisticated enterprises are moving way past that, but now they're adopting more cloud native, right. And as they get into the critical apps, securing them has been challenging. We've talked to many CEOs and CSOs, and they say that to us. Yeah. It's very challenging, but we're on it. I have to ask you, what should people worry about when secure in the cloud, because they know is challenging, then they'll have the opportunity on the other side, what are they worried about? What do you see people scared of or addressing, or what should I be worried about when securing the cloud? >>Yeah, definitely. Sometimes when I'm talking about the security, I like to compare, you know, the old data center in that the old monolithic applications to a castle, you know, in middle aged castle. So what, what did you do to protect your castle? You used to build very thick walls around it, and then a small entrance and be very careful about the entrance, you know, protect the entrance very well. So what we used to doing that, that data center was protect everything, you know, the, the whole perimeter in a very aggressive way with firewalls and making sure that there was only a very narrow entrance to our data center. And, you know, as much as possible, like active security there, like firewalls or this kind of stuff. Now we're in the cloud. Now, it's everything. Everything is much more diffused, right? Our users, our customers are coming from all over the planet, every country, every geography, every time, but also our internal team is coming from everywhere because they're all accessing a cloud environment. >>You know, they often from home for different offices, again, from every different geography, every different country. So in this configuration, the metaphor data that they like to use is an amusement park, right? You have a big area with many important things inside in the users and operators that are coming from different dangerous is that you cannot really block, you know, you need to let everything come in and in operate together in these kinds of environment, the traditional protection is not really effective. It's overwhelming. And it doesn't really serve the purpose that we need. We cannot build a giant water under our amusement park. We need people to come in. So what we're finding is that understanding, getting visibility and doing, if you Rheodyne is much more important. So it's more like we need to replace the big walls with a granular network of security cameras that allow us to see what's happening in the, in the different areas of our amusement park. And we need to be able to do that in a way that is real time and allows us to react in a smart way as things happen because in the modern world of cloud five minutes of delay in understanding that something is wrong, mean that you're ready being, you know, attacked and your data's already being >>Well. I also love the analogy of the amusement park. And of course, certain rides, you need to be a certain height to ride the rollercoaster that I guess, that's it credentials or security credentials, as we say, but in all seriousness, the perimeter is dead. We all know that also moats were relied upon as well in the old days, you know, you secure the firewall, nothing comes in, goes out, and then once you're in, you don't know what's going on. Now that's flipped. There's no walls, there's no moats everyone's in. And so you're saying this kind of security camera kind of model is key. So again, this topic here is securing real time. Yeah. How do you do that? Because it's happening so fast. It's moving. There's a lot of movement. It's not at rest there's data moving around fast. What's the secret sauce to making real identifying real-time threats in an enterprise. >>Yeah. And in, in our opinion, there are some key ingredients. One is a granularity, right? You cannot really understand the threats in your amusement park. If you're just watching these from, from a satellite picture. So you need to be there. You need to be granular. You need to be located in the, in the areas where stuff happens. This means, for example, in, in security for the clowning in runtime, security is important to whoever your sensors that are distributed, that are able to observe every single end point. Not only that, but you also need to look at the infrastructure, right? From this point of view, cloud providers like Amazon, for example, offer nice facilities. Like for example, there's CloudTrail in AWS that collects in a nice opinionated consistent way, the data that is coming from multiple cloud services. So it's important from one point of view, to go deep into, into the endpoint, into the processes, into what's executing, but also collect his information like the cultural information and being able to correlate it to there's no full security without covering all of the basics. >>So a security is a matter of both granularity and being able to go deep and understanding what every single item does, but also being able to go abroad and collect the right data, the right data sources and correlated. And then the real time is really critical. So decisions need to be taken as the data comes in. So the streaming nature of security engines is becoming more and more important. So the step one of course, security, especially cost security, posture management was very much let's ball. Once in a while, let's, let's involve the API and see what's happening. This is still important. Of course, you know, you need to have the basics covered, but more and more, the paradigm needs to change to, okay, the data is coming in second by second, instead of asking for the data manually, once in a while, second by second, there's the moment it arrives. You need to be able to detect, correlate, take decisions. And so, you know, machine learning is very important. Automation is very important. The rules that are coming from the community on a daily basis are, are very important. >>Let me ask you a question, cause I love this topic because it's a data problem at the same time. There's some network action going on. I love this idea of no perimeter. You're going to be monitoring anything, but there's been trade offs in the past, overhead involved, whether you're monitoring or putting probes in the network or the different, there's all kinds of different approaches. How does the new technology with cloud and machine learning change the dynamics of the kinds of approaches? Because it's kind of not old tech, but you the same similar concepts to network management, other things, what what's going on now that's different and what makes this possible today? >>Yeah, I think from the friction point of view, which is one very important topic here. So this needs to be deployed efficiently and easily in this transparency, transparent as possible, everywhere, everywhere to avoid blind spots and making sure that everything is scheduled in front. His point of view, it's very important to integrate with the orchestration is very important to make use of all of the facilities that Amazon provides in the it's very important to have a system that is deployed automatically and not manually. That is in particular, the only to avoid blind spots because it's manual deployment is employed. Somebody would forget, you know, to deploy where somewhere where it's important. And then from the performance point of view, very much, for example, with Falco, you know, our open source front-end security engine, we really took key design decisions at the beginning to make sure that the engine would be able to support in Paris, millions of events per second, with minimal overhead. >>You know, they're barely measure measurable overhead. When you want to design something like that, you know, that you need to accept some kind of trade-offs. You need to know that you need to maybe limit a little bit this expressiveness, you know, or what can be done, but ease of deployment and performance were more important goals here. And you know, it's not uncommon for us is Dave to have users of Farco or commercial customers that they have tens of thousands, hundreds of thousands of machines. You know, I said two machines and sometimes millions of containers. And in these environments, lightweight is key. You want death, but you want overhead to be really meaningful and >>Okay, so a amusement park, a lot of diverse applications. So integration, I get that orchestration brings back the Kubernetes angle a little bit and Falco and per overhead and performance cloud scale. So all these things are working in favor. If I get that right, is that, am I getting that right? You get the cloud scale, you get the integration and open. >>Yeah, exactly. Any like ingredients over SEP, you know, and that, and with these ingredients, it's possible to bake a, a recipe to, to have a plate better, can be more usable, more effective and more efficient. That may be the place that we're doing in the previous direction. >>Oh, so I've got to ask you about Falco because it's come up a lot. We talked about it on our cube conversations already on the internet. Check that out. And a great conversation there. You guys have close to 40 million plus million downloads of, of this. You have also 80 was far gate integration, so six, some significant traction. What does this mean? I mean, what is it telling us? Why is this successful? What are people doing with Falco? I see this as a leading indicator, and I know you guys were sponsoring the project, so congratulations and propelled your business, but there's something going on here. What does this as a leading indicator of? >>Yeah. And for, for the audience, Falco is the runtime security tool of the cloud native generation such. And so when we, the Falco, we were inspired by previous generation, for example, network intrusion detection, system tools, and a post protection tools and so on. But we created essentially a unique tool that would really be designed for the modern paradigm of containers, cloud CIC, and salt and Falco essentially is able to collect a bunch of brainer information from your applications that are running in the cloud and is a religion that is based on policies that are driven by the community, essentially that allow you to detect misconfigurations attacks and normals conditions in your cloud, in your cloud applications. Recently, we announced that the extension of Falco to support a cloud infrastructure and time security by parsing cloud logs, like cloud trail and so on. So now Falba can be used at the same time to protect the workloads that are running in virtual machines or containers. >>And also the cloud infrastructure to give the audience a couple of examples, focused, able to detect if somebody is running a shelf in a radius container, or if somebody is downloading a sensitive by, from an S3 bucket, all of these in real time with Falco, we decided to go really with CR study. This is Degas was one of the team members that started it, but we decided to go to the community right away, because this is one other ingredient. We are talking about the ingredients before, and there's not a successful modern security tool without being able to leverage the community and empower the community to contribute to it, to use it, to validate and so on. And that's also why we contributed Falco to the cloud native computing foundation. So that Falco is a CNCF tool and is blessed by many organizations. We are also partnering with many companies, including Amazon. Last year, we released that far gate support for Falco. And that was done is a project that was done in cooperation with Amazon, so that we could have strong runtime security for the containers that are running in. >>Well, I've got to say, first of all, congratulations. And I think that's a bold move to donate or not donate contribute to the open source community because you're enabling a lot of people to do great things. And some people might be scared. They think they might be foreclosing and beneficial in the future, but in the reality, that is the new business model open source. So I think that's worth calling out and congratulations. This is the new commercial open source paradigm. And it kind of leads into my last question, which is why is security well-positioned to benefit from open source besides the fact that the new model of getting people enabled and getting scale and getting standards like you're doing, makes everybody win. And again, that's a community model. That's not a proprietary approach. So again, source again, big part of this. Why was security benefit from opensource? >>I am a strong believer. I mean, we are in a better, we could say we are in a war, right? The good guys versus the bad guys. The internet is full of bad guys. And these bad guys are coordinated, are motivated, are sometimes we'll find it. And we'll equip. We win only if we fight this war as a community. So the old paradigm of vendors building their own Eva towers, you know, their own self-contained ecosystems and that the us as users as, as, as customers, every many different, you know, environments that don't communicate with each other, just doesn't take advantage of our capabilities. Our strength is as a community. So we are much stronger against the big guys and we have a much better chance doing when this war, if we adopt a paradigm that allows us to work together. Think only about for example, I don't know, companies any to train, you know, the workforce on the security best practices on the security tools. >>It's much better to standardize on something, build the stack that is accepted by everybody and tell it can focus on learning the stack and becoming a master of the steak rounded rather than every single organization naming the different tool. And, and then B it's very hard to attract talent and to have the right, you know, people that can help you with, with your issues in, in, in, in, in, with your goals. So the future of security is going to be open source. I'm a strong believer in that, and we'll see more and more examples like Falco of initiatives that really start with, with the community and for the community. >>Like we always say an open, open winds, always turn the lights on, put the code out there. And I think, I think the community model is winning. Congratulations, Loris Dajani CTO and founder of SIS dig congratulatory success. And thank you for coming on the cube for the ADB startup showcase open cloud innovations. Thanks for coming on. Okay. Is the cube stay with us all day long every day with the cube, check us out the cube.net. I'm John furrier. Thanks for watching.
SUMMARY :
Good to see you And the key point of the showcase is to talk about the startups that are making a difference and, but because it tends to be, you know, easier and a little bit with a little bit less ration. for misconfigurations that then tend to be, you know, very often the sewers You know, most of the sophisticated enterprises I like to compare, you know, the old data center in that the metaphor data that they like to use is an amusement park, right? What's the secret sauce to making real identifying real-time threats in the cultural information and being able to correlate it to there's no full security the paradigm needs to change to, okay, the data is coming in second by second, How does the new technology with cloud and machine learning change And then from the performance point of view, very much, for example, with Falco, you know, You need to know that you need to maybe limit a little bit this expressiveness, you know, You get the cloud scale, you get the integration and open. over SEP, you know, and that, and with these ingredients, it's possible to bake Oh, so I've got to ask you about Falco because it's come up a lot. on policies that are driven by the community, essentially that allow you to detect And also the cloud infrastructure to give the audience a couple of examples, And I think that's a bold move to donate or not donate contribute that the us as users as, as, as customers, to attract talent and to have the right, you know, people that can help you with, And thank you for coming
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Laura | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Loris Dajani | PERSON | 0.99+ |
Loris Degioanni | PERSON | 0.99+ |
two machines | QUANTITY | 0.99+ |
Loris Dajani | PERSON | 0.99+ |
73% | QUANTITY | 0.99+ |
Paris | LOCATION | 0.99+ |
27% | QUANTITY | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Last year | DATE | 0.99+ |
Falco | ORGANIZATION | 0.99+ |
millions | QUANTITY | 0.99+ |
six | QUANTITY | 0.99+ |
Farco | ORGANIZATION | 0.99+ |
John farrier | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
five minutes | QUANTITY | 0.99+ |
tens of thousands | QUANTITY | 0.99+ |
one point | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
Today | DATE | 0.98+ |
today | DATE | 0.98+ |
both | QUANTITY | 0.98+ |
cube.net | OTHER | 0.97+ |
Billy | PERSON | 0.96+ |
a day | QUANTITY | 0.95+ |
SIS dig | ORGANIZATION | 0.94+ |
one other ingredient | QUANTITY | 0.94+ |
One | QUANTITY | 0.93+ |
C T O | ORGANIZATION | 0.91+ |
Ep 1 | QUANTITY | 0.89+ |
second | QUANTITY | 0.89+ |
80 | QUANTITY | 0.88+ |
single | QUANTITY | 0.88+ |
few days ago | DATE | 0.88+ |
one very important topic | QUANTITY | 0.87+ |
hundreds of thousands of machines | QUANTITY | 0.86+ |
Falba | TITLE | 0.85+ |
S3 | TITLE | 0.83+ |
single item | QUANTITY | 0.83+ |
every geography | QUANTITY | 0.8+ |
every country | QUANTITY | 0.78+ |
AWS Startup Showcase S2 | EVENT | 0.75+ |
three buckets | QUANTITY | 0.75+ |
CTO | PERSON | 0.75+ |
60, 66% | QUANTITY | 0.74+ |
CloudTrail | TITLE | 0.74+ |
40 million plus million downloads | QUANTITY | 0.73+ |
containers | QUANTITY | 0.73+ |
two | QUANTITY | 0.73+ |
John furrier | PERSON | 0.73+ |
Degas | PERSON | 0.72+ |
millions of events per second | QUANTITY | 0.67+ |
single end point | QUANTITY | 0.67+ |
season two theme | QUANTITY | 0.65+ |
first | QUANTITY | 0.63+ |
ADB | ORGANIZATION | 0.6+ |
Kubernetes | ORGANIZATION | 0.59+ |
episode one | QUANTITY | 0.59+ |
Rheodyne | ORGANIZATION | 0.59+ |
study | ORGANIZATION | 0.56+ |
step one | QUANTITY | 0.55+ |
season | OTHER | 0.54+ |
Eva | ORGANIZATION | 0.53+ |
team | QUANTITY | 0.53+ |
SEP | TITLE | 0.52+ |
CACD | ORGANIZATION | 0.52+ |
every | QUANTITY | 0.52+ |
view | QUANTITY | 0.5+ |
CR | TITLE | 0.49+ |
S3 | COMMERCIAL_ITEM | 0.35+ |
Subbu Iyer, Cequence Security | AWS Startup Showcase
(Upbeat music) >> Welcome to theCUBE's presentation of the AWS Startup Showcase, the next big thing in AI, security, and life sciences. We're here in the security track, and in this segment we feature Cequence Security. I'm your host, Dave Vellante, and today, we're joined by Subbu Iyer, who's the vice president of products at Cequence Security. And we're going to discuss the importance of rapidly discovering and addressing common API security gaps. We live in this API economy, and there's dangers out there. Welcome, Subbu. Great to have you on the Cube. >> Thanks, Dave. I'm happy to be here. >> Okay, every week, there's some other report in the paper, in the news, high profile security breaches. We all know about the Experian breach, the Clubhouse, a pretty popular app, and many, many others. But you know what's perhaps more scary is the ones we don't hear about, and there are a lot of those. APIs are increasingly targeted by cyber criminals as a weak link to steal data and commit fraud. So, Subbu, in thinking about your customers and how they're using your solution, what are some of the patterns that you're discerning, and how are you addressing this problem within your community? >> Yeah, APIs are a very common avenue for exploiting vulnerabilities in applications, and what we are discovering amongst our customers is that there are elementary gaps that are being left behind in APIs. For instance, APIs that are completely unauthenticated, and it's practically like leaving your front door open and allowing anybody to walk in. I mean, there are APIs that aren't authenticated, APIs that are exposing sensitive information, like credit card numbers or social security numbers completely out in the clear. Or APIs that are using weak forms of authentication that are very easily bypassed. The OWASP API top ten is actually a pretty good handy list for people to look up, and those are, we see many of those as being very commonly seen vulnerabilities in APIs. >> Yeah. I mean, your adversaries, they're experts at automation. They knock on that door, and if it's open, they come right in. (Laughs) They don't even have to manually do it. They just automatic. So, talk a little bit more about that, that problem of poor API visibility in this world in which we now live. >> Yeah. You nailed it. I mean, visibility is the number one thing that everybody should be thinking about. In an age where APIs are ubiquitous, like everything talks to everything else by APIs, lack of knowledge of how many APIs there are out there that a customer has exposed is the number one challenge that anybody should start with. Getting your arms around the problem statement of how many APIs do I have that are publicly exposed, are privately exposed to other organizations, is really where it all starts. And once you have discovered all those APIs, then you basically look at what risk those APIs pose to you, like how many of those APIs aren't authenticated? How many of those APIs are using very weak forms of authentication or are exposing sensitive information on, you know, subject to some of the other commonly seen risks? >> You know, authentication is the other area. And not just humans. You know, talking about machines as well. So, this is a critical weak link, and it's fraught with complexity. You've got multiple devices. You've got service connections. And it's very error prone. How much of a problem is this, and what can we do about it? >> Authentication is actually the most basic and the most commonly seen vulnerability or flaw in APIs. The most common flaw that we see in APIs is the problem of APIs not having any authentication at all or having very weak forms of authentication. To kind of go back to our front door analogy, that's like either leaving your front door completely unlocked, or leaving your front door locked and leaving the key under the doormat hoping that nobody is going to pull up the doormat and find the key in there. Like, it's pretty much the equivalent of that for APIs that we see. That's really the gambit of like authentication related issues that we see, like in that ballpark of either weak forms of authentication that attackers really don't have to even break a sweat to kind of find their way around them and walk in. >> You know, I recently wrote about this. I wanted to ask you about another disturbing trend that we see, and that's, you know, adversaries, they're looking in our environments, and they're stealth. You know, they're living off the land and using your tools against you so you don't even see them a lot of times. While they're there, they're exfiltrating troves of very valuable information. In one study I read, they were committing fraud and identity theft, but they were also stealing sensitive data so they could act on it, like front running a trade. And so... And then they would hold that data, that sensitive data. Another example, it was healthcare data, private information. And they're hold it on reserve, so to speak, so they could extort victims once they're discovered and there's an incident response. So this exposure to sensitive data, it's an enormous problem, and I wonder if you could share your thoughts on this topic and how to help remediate it. >> Yep. Sensitive data exposure is another one of the OWASP API top ten, and something that we see pretty often with APIs. And you're right. Adversaries basically look for avenues where they can exploit these sensitive data flaws that an API may have. Common ways of doing that are maybe the attacker discovers or finds the mobile application for that particular application. It may be a retail app, a finance app. And the user may create a valid account in there, so get in there as a valid account, and see the APIs that are being communicated by the mobile app with the API backend, and then see if they can retrieve other people's information or that same API, by changing the user ID or other tokens that they are sending back. And if they are able to break in and they're actually able to get other users' information, that's basically exfiltration, data exfiltration. And they just run that in a script and are able to exfiltrate lots of data from the API backend if the access control on the backend is weak and this API is really not protected very well. So, one of the key things that we do in Cequence is provide visibility to our customers about what form, which APIs are exposing sensitive data information. What sensitive information are they? So, are they credit card numbers, social security numbers, some other proprietary identifiers that a customer may have, and really how are they leaking this information? Is it in the response body? Is it in the response header? And so on. So, we really give them the ability to hone in on where the leakage is happening. >> Okay. So, full visibility. Maybe talk a little bit more about that. I mean, can you share a little bit about, you know, your secret sauce, if you will? Your kind of unique approach to solving this problem? >> Yeah. That's a good questions. So, Cequence is in the business of providing continuous visibility and monitoring and protection to customers for their public facing web applications and APIs. And we do this by essentially providing the ability, to start with, to customers to discover all of their public facing APIs. And we do that by essentially tapping into their network at various points. We can tap into an API gateway, a load balancer, or really deep into their microservices applications, to tap into their modern API-based applications as well. And by tapping into multiple sources within their environment, we are essentially gleaning a complete picture of what their application attack surface looks like. So, all of these become what we call sensors that essentially communicate information back to a central repository and aggregate all that information together, and then produce this visibility of saying you have however many APIs. And then that's where a lot of analysis happens to see who's communicating all of these APIs. Are we getting traffic from external sources? internal sources? How are the API communications happening? Is it in clear text? And so on. And that's where the visibility really happens. >> And these so-called sensors, they're sort of embedded as part of your service. So, I'm acquiring a service from you, correct? Maybe you could describe a little bit more about how I interact with your product portfolio. >> Yep, yep. So, our technology is flexible enough that it can be completely deployed as a software as a service, so needing nothing to be deployed on a customer's premises at all. Or it can, or we are flexible enough to actually support on premises deployments for some of our larger customers like financial customers or other data privacy related customers who would rather have this infrastructure on their premises. And these sensors are really these little modules that go in their network environment, so they're easy to deploy, easy to integrate with any network-based options like load balancers or firewalls or API gateways. And really, the backend can be consumed either as a software based application like a docker or Kubernetes application on the customer's premises, or consumed within the sequence cloud, so needing absolutely nothing to be managed or maintained by the customer at all. So, really the customer, to start with, essentially comes to Cequence and says, "Hey, how do I get an environment up and running where I can play with my, where I can discover my APIs?" And we can spin up an environment in our cloud in a matter of minutes or hours. And before you know it, we can drop a couple of sensors in their environment, and we are discovering their APIs. >> And then what? So, if you... You discover some APIs, the key under the doormat, so to speak, what do I then do as a customer? How do you help me accelerate that remediation? >> Excellent. And that's where one of the important aspects of our product called mitigation comes in the picture. Mitigation is a remediation action where a customer can actually take action in the run time to actually stop some of this back traffic from happening. For instance, if you see an API that... One of the common things that we discover in APIs are what we call shadow APIs. So, when we talked about API visibility, what a customer discovers is all of their known APIs and unknown APIs. So known APIs are APIs that they know about. Oh, that's my payment API. This is my billing API, and so on. And they also discover APIs that they did not know exist, like a newer version of an API that the development team has exposed. And they go, "Wait a minute. When, how did that get exposed to the public? We haven't even done a security audit of this thing." So, if they see APIs like this that should not have been made public but are public and are being used, they can use Cequence to essentially block traffic to those APIs, these unreleased APIs, or these hidden APIs that should never have gone public but are public, either because of unintentional mistakes on somebody's part or because of certain compliance loopholes or something that these were made public. So, we can take action and prevent traffic from hitting these APIs. >> And I would imagine, Subbu, that, I mean, every environment's different. I mean, I would imagine people make the same mistakes across different environments, but every environment is really a snowflake. I mean, it's an individual, you know, configuration. And so... But I wonder, are you seeing, well, sort of what was my first question, what kind of patterns are you seeing? But are you seeing, you know, customers exposed in sort of the same areas? Or are you seeing like I'm describing, every situation is different? >> We do see situations being different. >> Hmm. >> I have seen environments where the production environment had a weaker security posture than a development environment. >> Hmm. >> That was presumably because the development environment was running a newer version of their application, so it had plugged some of these API gaps, was not leaking sensitive information. But the production environment is running an older version. So, it had flaws that the development environment did not. And I've seen vice versa as well. So, really it depends upon like how their CI/CD processes, how soon are they able to get these applications into production, and so on. And accordingly, they put in actions in, let's say, in the appropriate environment, the dev environment or the prod environment to stop these attacks from hitting that environment. >> So, if a customer comes to you, you know, fresh, you haven't worked with that customer, and then you deploy these sensors and you help them sort of clean up their operation. And presumably they want to keep working with you because their environment is constantly changing, are they then... You know, it's kind of a cliche, but shifting left, you know, where they're building this in to their development process as opposed to saying, "Okay, we've just deployed. Now let's call Cequence in." Right? Are you able to align with the development life cycle more closely? >> Yeah. Yeah, yeah. That's an ideology that we do here at Cequence. What we say is shift left while shielding right. What that means is, yes, shifting left is an important strategy for you to essentially take these actions earlier on in the development process before these APIs become public. But one of the key tenets of application security is to shield your applications from bad traffic. Shield your applications from these attackers who are trying to enumerate these IDs and trying to exfiltrate information. So, you need to protect your applications from bad traffic. So, while shielding the right, we allow customers to start shielding left so that they can start testing some of these APIs before they go into production. So, before these APIs even become, see the light of day, let's say a newer version of an API, we are working with customers in that journey so that they can find this sooner and sooner in the development life cycle. So, yep. We absolutely see that as an evolution for customers. >> Thank you for that. So, I got two more questions for you. The first one is kind of a fun question that theCUBE team, you know, wanted to ask. We're asking all the startups. Remember, the event, it's all about cloud scale. And so, of course, when you launch a company, a startup, it's exciting time. You're innovating, developing new products, moving fast, breaking things, helping customers out, disrupting. All those cool things. Growing the company. You know, increasing revenue. Great. But there's more even. And so what we're asking folks like yourself, Subbu, is what is your defining contribution to the future of cloud scale? >> Yep. So, cloud scale is not possible without a digital transformation of applications. So, applications have to be digitally transformed so that they are ready for the modern cloud age. And in order to do that, applications have to become API first. They have to understand APIs. They have to communicate to other applications why APIs and allow other applications to communicate by APIs. So, to truly achieve cloud scale, digital transformation is an absolute must. And we are playing our part in that journey for customers in digital transformation by allowing them to go on to their digital transformation journeys and allowing cloud scale by protecting their APIs, allowing them to discover their APIs and protecting their APIs, allowing them to reach cloud scale. >> Great. Thank you for that. Now, let's summarize, and I wonder if you can sort of bring us home, and give us your thoughts. I mean, there's a balancing act that we have to do between you want to tap into the API trend and the value that it brings, but at the same time, you got to mitigate the risks associated with that. And just give us a summary on the right prescription. >> Yep. So, to kind of bring it all together, right? API security is top of minds for many (indistinct) across the board. And it all starts with API visibility. You cannot protect what you cannot see. So, you have to be able to discover your entire API attack surface so you know what's going on with your APIs. And then you put in shield right strategies where you essentially are blocking the bad traffic from hitting your applications. That's basically the logical evolution from, you know, discovering the bad traffic in your environment. First, visibility, and then protect what is going on. And then start shielding left, shifting left, by essentially being able to take these actions sooner in your development life cycle so that some of these bad traffic can never possibly hit your applications because you have shifted left. >> Excellent. Well, Subbu, thanks so much for coming on theCUBE today. It was great to have you. Great stuff. >> Thank you, Dave, for having me. This was great. Thank you so much. >> Our pleasure. And thank you for watching theCUBE's presentation of the AWS Startup Showcase, the next big thing in AI, security, and life sciences. Keep it right there for more great content. (upbeat music begins) (upbeat music fades out)
SUMMARY :
to have you on the Cube. in the news, high profile and allowing anybody to walk in. They don't even have to manually do it. is the number one challenge is the other area. and the most commonly that we see, and that's, you know, or that same API, by changing the user ID I mean, can you share a So, Cequence is in the And these so-called sensors, And really, the backend so to speak, what do I API that the development team in sort of the same areas? I have seen environments So, it had flaws that the to keep working with you is to shield your And so, of course, when you And in order to do that, and the value that it And then you put in for coming on theCUBE today. Thank you so much. of the AWS Startup Showcase,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dave | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
first question | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
First | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
two more questions | QUANTITY | 0.98+ |
Subbu | PERSON | 0.97+ |
OWASP | TITLE | 0.97+ |
Cequence Security | TITLE | 0.96+ |
theCUBE | ORGANIZATION | 0.95+ |
One | QUANTITY | 0.92+ |
first one | QUANTITY | 0.91+ |
one study | QUANTITY | 0.88+ |
Cequence Security | ORGANIZATION | 0.88+ |
Clubhouse | TITLE | 0.87+ |
Kubernetes | TITLE | 0.86+ |
first | QUANTITY | 0.83+ |
top ten | QUANTITY | 0.81+ |
Startup Showcase | EVENT | 0.8+ |
Subbu Iyer | PERSON | 0.76+ |
AWS Startup Showcase | EVENT | 0.7+ |
AWS | ORGANIZATION | 0.66+ |
theCUBE | TITLE | 0.56+ |
Experian | TITLE | 0.49+ |
Subbu | ORGANIZATION | 0.49+ |
couple | QUANTITY | 0.48+ |
Cube | ORGANIZATION | 0.47+ |
Craig Wicks & Tod Golding, AWS | AWS re:Invent 2020 Partner Network Day
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by A. W s Global Partner Network. Welcome back to the cubes Coverage Cube. Virtual coverage of AWS reinvent 2020. We're not in person this year. We have to do the all the Cube interviews remote. But we've got two great guests from the Amazon Web Services Partner Network A W s a p N. Craig Wicks, senior manager of AWS Satisfactory. Todd Golden, Principal Cloud Architect, Global SAS Tech Lead Gentlemen, Thanks for joining the Cube. Appreciate it. >>Thanks, John. >>Um, first of all, I want to get in Craig with you and just take them in to explain what is the satisfactory. Because this is a unique and growing team within AWS. Um, we've been saying it for years, but the moves to the cloud houses has been obvious is mainstream. But your team, your role is doing some interesting things. Explain. What is the satisfactory? What do you guys do? >>Yeah, Thanks, John. Really delighted to be here today. Yeah, the satisfactory. Maybe for those that may be somewhat disappointing. There's no factory, no sort of easy button for SAS. There's no templates. There's no machinery. We wish we had it. But we're really a global team of subject matter. Experts in SAS that really help AWS partners transform their business right both business and technical to the Saas model and help them do that faster with greater confidence and all the best practices that our team has learned over the years. >>And Todd, your solution architect. So you're the partner. You have to help your customers get their, um, you know, being a solution architect really is like the mechanic of the business. You gotta lay out the engine of innovation and this is what clients are trying to strive for. Can you take him and explain how your role is involved in this? Obviously, SAS is not. It makes sense on paper, but making it happen is not trivial. What do you What do you what? Your role. >>Yeah, so I'm very much, in fact, connected to Craig. We're all part of the same organization, and we're sort of very much deeply involved with these organizations. We get very much, um, embedded with these these partners that we work with and really helped them through sort of the nuts and bolts of what it means to transform an application thio multi tenant sort of SAS models. That means helping them figure out how to map that two different AWS services. It means helping them figure out how to realize the sort of the business objective objectives of transforming to sass. But really, our goal is to sort of just get into the weeds with them, figure out their specific domain because there's no one size fits all. Versace figure out how that really connects toe, where they're at in their trajectory, in terms of where they're trying to get to end of the journey is a business and then find that alignment with a W S services. So there's sort of that trifecta of lining all those bits up and sort of formulating, Ah, technical strategy that really brings all those pieces together for them. >>Craig, I want to get your thoughts on the trends, and Todd, you can weigh in to want to get your reaction. Over the weekend, I was picking some folks on on the Internet, linked in and whatnot from eight years ago when that we did our first cube at reinvent with second year of reinvent, and nobody was there in the industry press, wasn't there were the first I think press to be there. Um and a lot of people have either moved on to big positions or companies have gone public. I bought me. Major things have happened in 2013 clouds certainly rose there. SAS became the business model. Everyone kind of knows that. But the dynamics today are different when you think about the on premises and you got the edge. A big part of the themes this week in the next couple weeks as we unfold here reinvent. This >>is >>different, but the same Can you share? What is the trend that people are riding on? What's the What's the wind of innovation? >>Yeah, and certainly I would say, First of all, just personally, I've been in SAS for some time. It was involved early on, in sort of, ah, model. We called the application service provider model, which was sort of a predecessor assassin, you know, the gray hairs out to remember that one. But, uh, you know, I think first of all, I would say SAS is everywhere and people wanted to be everywhere And so there's just We just see insatiable demand for sass from from customers out there, right? And I think the challenge problem we see is that organizations that we work with just can't transition fast enough, right? The rial technical challenges that air in front of them in terms of how they build an architect, Assaf solution and but most importantly, the business model that sort of underpins. That is a huge transformation for companies that they're going through. And that's one of the things that we just see. You know, Justin, my time in satisfactory native us. The range of organizations we worked with has just changed. So, you know, early on we're working with companies and infrastructure around security and storage and those areas, and the last few years it's just expanded to all sorts of industries, from public sector oil and gas. Um, sort of financial services. You know, everyone really wants to build this model, and that's really, you know, born around the customer demand they're seeing for South. >>That's interesting. You mention challenge. I wanna get your thoughts. You mentioned a SP application service provided you remember those days, you know, vividly, mainly a tech thing, but it's really a consumption model around delivery of software and services. And, you know, Web services came on in 2000. The rest is history. We've got Amazon Web services, but now, as you get more vertically expanded oil and gas and go mainstream. But what >>are some >>of the challenges? Because as people get smarter, it's not just about self service or buy as you go. It's a business model you mentioned. Is it a managed services itself? Services has been embedded into the application. Can you share some of the new things that are emerging on the business model side that people should pay attention to? What, some of those challenges? Yeah, I >>think one of the first things is just a fundamentally are operating service, right? So that changes the dynamics to everything, for in terms of how you engage with customers to how you deliver. You know, the kind of simple thing E I often tell people is you know who's answering the pager now. If someone goes, if something goes wrong, it's not your customer. That's you right, and you have to manage and sustain that service and and really continue Thio provide innovation and value to customers. Right? That's one of the challenges we see is is organizations are now on a treadmill in terms of innovation where customers expect something from South model and you really have to deliver on that. And then one of the final points I would say is it really transforms how you think about going to market right sales and marketing your fundamentally transformed. And, um, you know, traditional ways of really selling software and technology. Um, largely go away and go away and some good ways. And SAS, where you can really put customers in experience right and have them evaluate your technology in a manner where they can have a trial experience, right in a way, toe really introduce them to technology very slowly. And then, um, they grow over time, right? As they see value in that software, which is very aligned, how we think about, you know, a AWS our own technology. >>Okay, Todd, I gotta ask you out. So you want to drive that car? The SAS car, What's under the hood with the right tires? What's the conditions? And it's a technical issues here. If I'm a customer, I'm in a PM, partner. Okay, I'm in there. I got a traditional business pandemic hits or just my business models forcing me. What's your advice? What have I got to do? What's the playbook on the technical side? How doe I go to the next level? >>Well, uh, you know, we're obviously gonna ask a lot of questions and probably the answer to that, sadly, like most technical people will say to you is it depends which is never the answer anybody wants to hear. But so we're definitely gonna ask a lot of questions you about, like where you're at. What are the immediate sort of pressures in your business? This is where the technical team people on our team tended wearing a little bit of a business hat here where we want to know before we sort of guide you down any one particular technical path, like water. Sort of the key sort of dimensions of getting you to a SAS till every model, but but probably as a theme generally were saying to people is, Let's look at how we can get you there incrementally. Let's get you into a SAS model as fast as we possibly can. So we have a lot of different sort of patterns and strategies will use that air about sort of incremental adoption of SAS, which are how can I sort of lift my existing environment, move it into a SAS model, present a SAS offering to the business, Let me operate and run, get the metrics and analytics, get the sort of operational efficiency and the Dev ops goodness of sass, and then sort of move after that into the insides of that sass application. And think about now, how can I begin to move that two more modern constructs? How can I move that into containers? Potentially? Or how can I begin to adopt server list technologies? How can I apply? I am another constructs to achieve Tenet isolation. Eso We're really just trying to put them in a position where they can sort of incrementally modernize their applications while still realizing the benefits of getting to market on a saas model. >>So you're saying that the the playbook is come in low hanging fruit is used existing core building blocks, you see two s three dynamo whatever and then hit the higher level services as you get more experience Or is there a certain recipe that you see working for customers? >>So it's it's probably less about that. It's probably It's not about necessarily where you're out in the service continuum and which services you're using. Um, well, we're gonna move you to a set of services that are probably a good set of services that are that way to move your monolith in most effectively into a saas model as a beginning point that could land you in to that could land you in containers. The more important thing we're going to do here is we're going to surround the that sort of experience with all the other moving parts that you have tow have billing metrics. We're gonna We're gonna build in on boarding so that you could get frictionless on boarding. Those are all gonna be net new things you have to build. We're probably gonna change your identity model and connect that up with cognito or one of our partners solutions eso for us. It's it's sort of grabbing your existing environment. Can we move it over effectively, maybe modernize it a little bit along the way, but more importantly, build all those horizontal concepts in leveraging the right AWS services for you, uh, to bring that to life. >>That's actually smart, aleck. The way you described it that way, it's almost as if it's the core tenant of what Amazon stood for. You standing up fast and you get value, right? So what you're saying is, whatever it takes is a variety of tools to stand it up. I mean, this is interesting, Craig, and talk if you can comment on this because one of the things that we've been reporting on, I've done probably a dozen interviews specifically around companies that have moved to the cloud early, proactively kind of in this way, not in a major radical way. But, you know, operationally they have been transforming, you know, piece by piece. How Todd you laid it out and then pandemic it. And they've had successfully position themselves to take advantage of the forcing function of necessity of dealing with, you know, remote work and all these things that just clobbered him so and again. They were on the wave at the right time. Kind of because they had to because they did the right work. This >>is a >>factor. This is gonna tell sign. Can you guys share your reaction? What you've seen with satisfactory because this >>is the >>benefit of moving to the club. Being positioned needs pandemic today. Tomorrow, its edge. What's after that? Right space. I mean, there's a lot of things. This is kind of the playbook. What's your reaction to that? Correct. >>Yeah. I certainly see, you know, organizations that we work with that have really delivering the SAS model, being more agile, right. The ability to sort of flex resource is and change the way they sell and work with customers and find ways to, um, sort of delivered to them. Um, that don't require, um, some of the things that we're really maybe some of the things that are holding them back from traditional software in terms of how fast they deliver new features and services and, you know, changing to sort of market and world dynamics very quickly. Right is a big part of that. And, you know, one of the things we talked about in the SAS model is really not just getting to sass, but being to deliver in that model, right? And dr Innovations to customers very quickly. Um, s O that you really getting sort of securing, you know, sort of them is the loyal customers and sort of a lifetime customer. Hopefully, um, you know, that's a big part of status. >>Yeah. And there's two types of organizations that you guys have been successful with. The startup, obviously, you know, category creators or disruptors will come in, you know, come in with a nap. Born in the cloud, kick some ass you've seen that movie happens all the time still going on. And then you got the existing organizations that have to stay in that innovation wave and not get crushed by the by the change can you guys share how the factories working? The satisfactory from a mix of of clients is Atmore establishes its startups in between. Give us a taste of What's the makeup? >>Yeah, it's range just to give you a range of some of the companies worked with from kind of legacy technology companies or companies that have been around in some time, like BMC, you know, f five alfresco we've all worked with over the past few years, and they've launched products with our team on a W s. You know, to kind of start ups like Matile. Ian. You know, Cloud zero. Cokie City, which just launched a data management service announced here at Reinvent um, two very kind of specific industry players. I think this is a trend we've seen most recently where, you know, we work with organizations like NASDAQ. I based tea in the aerospace, you know, area Emerson in oil and gas. We've seen in a number of oil and gas companies really come to us based on sort of dynamics, their industry and the constraints the customers are in in terms of how they could deliver the value they provide, >>is there. Is there a key thing that's popping out of all these deals that kind of has a is a tale sign of pattern or, um, a specific thing That's obvious on then, when you look at the data, when you zoom out, >>Yeah, I think one thing I would just say people underestimate the transformation. They have to go through continually. And we still have organizations that come to us, and maybe they come to Todd or others, and they're really they're envisioning This is a technical transformation, right? And they sort of want to talk all about the application and and sort of the new architecture er they they want to move to. But we really see theon pertinent A line business and technology around sass is a model, and that's really fundamental to getting it right. And so, you know, often we see organizations that really have unrealistic launch dates, you know, which is pretty common in software and services these days, but particularly a staff model. We just see that, you know, they underestimate the work in front of them and kind of what they need to bring with that >>Todd real quick for it against the announcements which are cool. Um, technical things that pop out of these organizations is there, Uh, the cream kind of rises to the top. When you look at the value proposition, what do they focused on? Technically, >>um, you know, it's interesting because to me, ah, lot of the focus tends to be more on the things that would surprise you. Like a lot of people are wanna sort of think about how to design the ins Thea click ation on the business logic of their application and take advantage of this scale on the sizing of AWS and those things, they're still all true. But but really an assassin organization with a really successful SAS organizations will see ah, lot more shift to the agility and the operational efficiency, right? So really good organizations will say we're going to invest in all the metrics and all the land analytics, all the tooling that lets us really have our finger on the pulse of what our customers are doing. And then they'll derive all their tech and their business strategy based on this really data driven experience. And I see that as the trend and the thing we certainly advocate a ton inside of the satisfactory is don't under invest in that data because that data is really especially in a multi 10 environment where everybody's running in this sort of shared environment. That data is essential to understanding how to morph your business, how to innovate, understand how your cost profile is really evolving. And so I see the really strong organizations building lots of the sort of foundational bits here, even ahead sometimes of building features and functions into their own products. >>It's not only moving fast and deploying tech is moving fast on the business model innovation as well. You're basically saying, Don't overplay your hand and try toe lock in the business model logic because it's gonna change with the data that what you're saying. >>Yeah, they're playing for for the innovation. They're playing for the agility they're playing for new markets, new segments that may evolve. And so they're really trying to put themselves in the position of being able to pivot and move. And they're really taking pride in the fact that their technology lets them do that. >>You know, that's not that's a business model That's not for the faint of heart. You know, when you have a market that has a lot of competitiveness to it and certainly was seeing the sea change happening over this year in the past few years, with cloud completely changing the playing field, winners and losers air emerging. And that's I think, this key it's you know, as I said in The Godfather, you know, you need a wartime conciliatory for these kind of times, and this is kind of what we're seeing, and I think that's a great point. Todd. Good stuff there. Um Okay. So announcements. You guys had some things on stage. Talked about Craig. You guys launching some new stuff? New programs? >>Yeah, absolutely mhm. Yeah, John, I guess our model is really to learn from a range of partners and experiences we have and then, you know, build tools and approaches to help everyone go faster, right? Because we certainly can't work with thousands organizations. And one of things that our team has had the opportunity over the last few years is published ton of articles, Blog's white papers, you know, very specific approaches to building SAS solutions. If you search Todd Golding out there on YouTube or anything, you'll find a bunch of things. But we wanted to bring on the altogether. And so we've created Central directory called Satisfactory Insights. Hug. And there's a right now over 70 unique pieces of content that our team is produced and curated. Whether you're starting on your staff journey right, you need socks one on one and business planning to level 400 right? 10 10 in isolation from Todd Golding, right. That's all there and available to you on the satisfactory program page. >>What? Some of the interesting things that came out of that that data from the insights you can share. >>Yeah, a couple things that we have we published most recently I would point to are really interesting. We just recently published a five case study where we go deeper in terms of their transformation. To really understand what was, you know, behind the scenes and that, um, we also published a white paper called the SAS Journey Framework, where for the first time, our team really broke down the journey. And what are the steps required? And what are some of the key questions you need to ask Onda Final piece I'd point to for people that Todd talks to is, we have, ah, white paper on SAS tended isolation strategies where we really go deep on on that particular challenge and what's there and that's also published and available on our satisfactory inside sub. Could you >>just define what is that mean tenant isolation strategies? What does that >>go to Todd with that for sure? >>Let's get that on the record. What is the definition of SAS tenant isolation? >>Sure, sure. So, you know, I think I've been in the room and with a lot of people that reinvent and basically have been in Chuck talks and said, You know what's tended isolation to you, and a lot of people will say Oh, that's authentication. Essentially, somebody got into the system. So now I know my system is isolated, but and a multi tenant environment right where we're running all this. These resource is in this data all co mingled from all of these different tenants. Um, it would be a huge blow to the business if one tenant somehow inadvertently exposed the resource or exposed to the resource is of another tenant. And so, fundamentally 10 of isolation is all of these techniques and strategies and architectural patterns that you use to ensure that one tenant can inadvertently get access to the resource is of another tenant s. So it's a sort of a layer of protection and security that goes beyond just the authentication and authorization schemes that you'll typically see in a cess architectures. >>So that's basically like having your own room lock and key doorway not just getting in, but no one can access your your stuff. >>Yeah, so it's a whole set of measures you could imagine. Identity and access management and other policies sort of defining tenant boundaries and saying, as each tenant is trying to access a resource or trying toe, interact with the system in some way, you've put these extra walls up to ensure that you can't cross those boundaries. >>Todd, I want to get your thoughts on this. Well, architected sas lens piece. What is this all about? >>Well, um, a WS has had for a long time the sort of the well architected framework, which has been a really great set of sort of guiding principles and best practices around how to design an architect solutions on top of AWS. And certainly SAS providers have been using that all along the way to sort of ask foundational questions of their architecture. Er But there's always been this layer of additional sort of SAS considerations that have set on top of that are that air SAS specific architectural patterns. And so what we've done is we've used this mechanism called the well architected lens that lets us essentially take our SAS architectural principles and extend the well architected framework and introduce all these concepts into the SAS and to the architecture pillars that really ask the hard SAS architecture questions so security operations reliability all the sort of classic pillars that are part of the well architected framework now have a SAS specific context added to them. Thio to really go after those areas that are unique to sass providers. And this really gives developers, architects, consultants the ability to sit down and look at a SAS application and evaluate its alignment with these best practices. And so far we can really positive response. Thio the content. >>Great job, guys doing great work. Finally, there's something new that you guys are announcing today to make life easier. Preview building SAS on a bus. What's that? What's that about? >>Sure. Eso You know you can imagine. We've been working with thes SAS providers for a number of years now, and as we've worked with them, we've seen a number of different themes emerge on and and we've run into this pattern That's pretty common where we'll see these, uh, these customers that have a classic sort of installed software model. They're installing it on premises or in the cloud, but basically each customer's sort of has their own version of the product. They have one off versions. They have their potentially have customization that are different. And while this works for some time for these businesses, what they find is they sort of run into this operational efficiency and cost wall. Whereas they're trying to grow their businesses, they they just really can't. They can't sort of keep up based on the way that they're running their current systems, and this is sort of a natural draw to move them to sass. But the other pattern that we've seen here is that these organizations are sometimes not in a position where they have the luxury of sort of going away and just saying, Hey, I'll rewrite my system or modernize it and make all of these changes. There could be any number of factors competitive pressures, market realities, cost that just make that too much of, ah, difficult process for them to be able to just take the application and rewrite it. And so what we did is sort of try to acknowledge that and say, What could we do to give you, ah, more prescriptive solution of this, the sort of turn key, easy button, if you will to say, Take my existing monolithic application that I deliver in this classic way and plug it into an existing pre built framework. An environment that is essentially includes all these foundational bits of assassin Vyron mint. And let me just take my monolith, move it into that environment and begin toe offer a SAS product to to the universe. And so what we've done is we've printed something and were introduced. We've introduced this thing called a W s SAS boost So a W s ass boost. It's not on a W s service. It is an open source reference environment. So you essentially download it. You install it into your own A W s account. And then this installs all these building blocks of sass that we've talked about. And it gives you all this sort of prescriptive ability to say, How can I now take my existing monolithic environment lifted into this experience and begin toe offer that to the market as a sash products. So it has, you know, it has billing. It has metrics and analytics. All the things we've been kind of talked about here they're all baked into that from the ground up on. We've also offered this an open source model. So our hope here is that this is really just the starting point of this solution, which, which will solve one business case. But our hope is that essentially the open source community will lean in with us, help us figure out how to evolve and make this into something that addresses a broader set of needs. >>Well, I love the SAS boost. Firstly, I wanna take the energy drink business there. Right there. It sounds like an energy drink. Give me some of that sass boost by that at 7. 11. Craig, I wanna get the final word with you. You've been the SAS business for over 20 years. You've seen this movie before. There are a lot of people who know the SAS business, and some people are learning it. You guys are helping people get there. It's different, though. Now what's different today? Because it's it's It's not just your grandfather's sass. As the expression goes, it's different. It's new dynamics. What is, uh, the most important thing people should pay attention to Whether they have a SAS legacy kind of mindset or they're new to the game. Take us >>home. Yeah, I >>think certainly, you know, getting disaster is not the end of the journey. You know, we see really successful fast provider. Just continue to differentiate, right? And then one of the things that I think we've seen successful SAT providers do is really take advantage of AWS services to go faster. Right? And that's really key, I think in this model is to really find a way to accelerate your business and deliver value faster. Andi just sort of keep that differentiation innovation there. Um, but I would just say now that there's more information out there available than ever, you know, and not only from from our team, but from a host of people that really are our SAS experts and follow the space. And so lots of resources available. Everyone >>All right, gentlemen, Thanks for coming on. Great insight. Great segment on getting to sass, sass boost Just the landscape. You guys are helping customers get there, and that's really the top priority. It's necessity is the mother of all invention during this pandemic. More than ever, uh, keeping business model going and establishing new ones. So thanks for coming on. >>Thanks for having us, John. >>Okay, It's the cubes. Virtual coverage. We are a SAS business. Now we're virtual bringing you remote. Uh, SAS Cube and, uh, more coverage with reinvent next few weeks. Thanks for watching. Okay, yeah.
SUMMARY :
It's the Cube with digital Um, first of all, I want to get in Craig with you and just take them in to explain what is the satisfactory. Yeah, the satisfactory. get their, um, you know, being a solution architect really is like the mechanic of the business. But really, our goal is to sort of just get into the weeds with But the dynamics today are different when you think about the on premises and you got the edge. You know, everyone really wants to build this model, and that's really, you know, born around the customer demand they're seeing And, you know, Web services came on in 2000. Can you share some of the new things that are emerging on the business model side that people should pay attention So that changes the dynamics to everything, for in terms of how you engage with customers So you want to drive that car? Sort of the key sort of dimensions of getting you to a SAS till every model, We're gonna We're gonna build in on boarding so that you could get frictionless on boarding. necessity of dealing with, you know, remote work and all these things that just clobbered Can you guys share your reaction? This is kind of the playbook. of how fast they deliver new features and services and, you know, changing to sort of market get crushed by the by the change can you guys share how the Yeah, it's range just to give you a range of some of the companies worked with from kind of legacy technology companies when you look at the data, when you zoom out, And so, you know, often we see organizations that really have unrealistic launch dates, When you look at the value proposition, And I see that as the trend and the thing we certainly advocate a ton inside of the satisfactory It's not only moving fast and deploying tech is moving fast on the business model innovation as well. They're playing for the agility they're playing for And that's I think, this key it's you know, as I said in The Godfather, That's all there and available to you on the satisfactory Some of the interesting things that came out of that that data from the insights you And what are some of the key questions you need to ask Onda Final piece I'd point to for Let's get that on the record. exposed the resource or exposed to the resource is of another tenant. So that's basically like having your own room lock and key doorway ensure that you can't cross those boundaries. What is this all about? consultants the ability to sit down and look at a SAS application and evaluate Finally, there's something new that you guys are announcing today the sort of turn key, easy button, if you will to say, Take my existing monolithic application Whether they have a SAS legacy kind of mindset or they're new to the game. Yeah, I And that's really key, I think in this model is to really find a way to accelerate your business It's necessity is the mother of all Now we're virtual bringing you remote.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
Todd Golding | PERSON | 0.99+ |
Justin | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
NASDAQ | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Todd | PERSON | 0.99+ |
Todd Golden | PERSON | 0.99+ |
2013 | DATE | 0.99+ |
Craig | PERSON | 0.99+ |
Tomorrow | DATE | 0.99+ |
2000 | DATE | 0.99+ |
Ian | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
WS | ORGANIZATION | 0.99+ |
Assaf | ORGANIZATION | 0.99+ |
BMC | ORGANIZATION | 0.99+ |
N. Craig Wicks | PERSON | 0.99+ |
A. W s Global Partner Network | ORGANIZATION | 0.99+ |
SAS | ORGANIZATION | 0.99+ |
Amazon Web Services Partner Network | ORGANIZATION | 0.99+ |
Emerson | ORGANIZATION | 0.99+ |
first | QUANTITY | 0.99+ |
Atmore | ORGANIZATION | 0.99+ |
today | DATE | 0.99+ |
eight years ago | DATE | 0.99+ |
10 | QUANTITY | 0.99+ |
7. 11 | DATE | 0.99+ |
over 20 years | QUANTITY | 0.99+ |
first cube | QUANTITY | 0.98+ |
first time | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
YouTube | ORGANIZATION | 0.98+ |
over 70 unique pieces | QUANTITY | 0.98+ |
two great guests | QUANTITY | 0.98+ |
Firstly | QUANTITY | 0.98+ |
Cokie City | ORGANIZATION | 0.98+ |
The Godfather | TITLE | 0.98+ |
Cloud zero | ORGANIZATION | 0.98+ |
two types | QUANTITY | 0.97+ |
each customer | QUANTITY | 0.97+ |
AWS Satisfactory | ORGANIZATION | 0.97+ |
second year | QUANTITY | 0.96+ |
this week | DATE | 0.96+ |
this year | DATE | 0.96+ |
Chuck | PERSON | 0.96+ |
wave | EVENT | 0.96+ |
A W s | ORGANIZATION | 0.95+ |
Tod Golding | PERSON | 0.95+ |
pandemic | EVENT | 0.94+ |
SAS Journey Framework | TITLE | 0.94+ |
a dozen interviews | QUANTITY | 0.93+ |
Harnessing the Power of Sound for Nature – Soundscape Ecological Research | Exascale Day 2020
>> From around the globe, it's theCUBE, with digital coverage of Exascale Day. Made possible by Hewlett Packard Enterprise. >> Hey, welcome back everybody Jeff Frick here with theCUBE. We are celebrating Exascale Day. 10, 18, I think it's the second year of celebrating Exascale Day, and we're really excited to have our next guest and talk about kind of what this type of compute scale enables, and really look a little bit further down the road at some big issues, big problems and big opportunities that this is going to open up. And I'm really excited to get in this conversation with our next guest. He is Bryan Pijanowski the Professor of Landscape and Soundscape Ecology at Purdue University. Bryan, great to meet you. >> Great to be here. >> So, in getting ready for this conversation, I just watched your TED Talk, and I just loved one of the quotes. I actually got one of quote from it that's basically saying you are exploring the world through sound. I just would love to get a little deeper perspective on that, because that's such a unique way to think about things and you really dig into it and explain why this is such an important way to enjoy the world, to absorb the world and think about the world. >> Yeah, that's right Jeff. So the way I see it, sound is kind of like a universal variable. It exists all around us. And you can't even find a place on earth where there's no sound, where it's completely silent. Sound is a signal of something that's happening. And we can use that information in ways to allow us to understand the earth. Just thinking about all the different kinds of sounds that exist around us on a daily basis. I hear the birds, I hear the insects, but there's just a lot more than that. It's mammals and some cases, a lot of reptiles. And then when you begin thinking outside the biological system, you begin to hear rain, wind, thunder. And then there's the sounds that we make, sounds of traffic, the sounds of church bells. All of this is information, some of it's symbolic, some of it's telling me something about change. As an ecologist that's what I'm interested in, how is the earth changing? >> That's great and then you guys set up at Purdue, the Purdue Center for Global Soundscapes. Tell us a little bit about the mission and some of the work that you guys do. >> Well, our mission is really to use sound as a lens to study the earth, but to capture it in ways that are meaningful and to bring that back to the public to tell them a story about how the earth kind of exists. There's an incredible awe of nature that we all experience when we go out and listen into to the wild spaces of the earth. I've gone to the Eastern Steppes of Mongolian, I've climbed towers in the Paleotropics of Borneo and listened at night. And ask the question, how are these sounds different? And what is a grassland really supposed to sound like, without humans around? So we use that information and bring it back and analyze it as a means to understand how the earth is changing and really what the biological community is all about, and how things like climate change are altering our spaces, our wild spaces. I'm also interested in the role that people play and producing sound and also using sound. So getting back to Mongolia, we have a new NSF funded project where we're going to be studying herders and the ways in which they use sonic practices. They use a lot of sounds as information sources about how the environment is changing, but also how they relate back to place and to heritage a special sounds that resonate, the sounds of a river, for example, are the resonance patterns that they tune their throat to that pay homage to their parents that were born at the side of that river. There's these special connections that people have with place through sound. And so that's another thing that we're trying to do. In really simple terms, I want to go out and, what I call it sounds rather simple, record the earth-- >> Right. >> What does that mean? I want to go to every major biome and conduct a research study there. I want to know what does a grassland sound like? What is a coral reef sound like? A kelp forest and the oceans, a desert, and then capture that as baseline and use that information-- >> Yeah. >> For scientific purposes >> Now, there's so much to unpack there Bryan. First off is just kind of the foundational role that sound plays in our lives that you've outlined in great detail and you talked about it's the first sense that's really activated as we get consciousness, even before we're born right? We hear the sounds of our mother's heartbeat and her voice. And even the last sense that goes at the end a lot of times, in this really intimate relationship, as you just said, that the sounds represent in terms of our history. We don't have to look any further than a favorite song that can instantly transport you, almost like a time machine to a particular place in time. Very, very cool. Now, it's really interesting that what you're doing now is taking advantage of new technology and just kind of a new angle to capture sound in a way that we haven't done before. I think you said you have sound listening devices oftentimes in a single location for a year. You're not only capturing sound, the right sound is changes in air pressure, so that you're getting changes in air pressure, you're getting vibration, which is kind of a whole different level of data. And then to be able to collect that for a whole year and then start to try to figure out a baseline which is pretty simple to understand, but you're talking about this chorus. I love your phrase, a chorus, because that sound is made up of a bunch of individual inputs. And now trying to kind of go under the covers to figure out what is that baseline actually composed of. And you talk about a bunch of really interesting particular animals and species that combine to create this chorus that now you know is a baseline. How did you use to do that before? I think it's funny one of your research papers, you reach out to the great bird followers and bird listeners, 'cause as you said, that's the easiest way or the most prolific way for people to identify birds. So please help us in a crowdsource way try to identify all the pieces that make this beautiful chorus, that is the soundscape for a particular area. >> Right, yeah, that's right. It really does take a team of scientists and engineers and even folks in the social sciences and the humanities to really begin to put all of these pieces together. Experts in many fields are extremely valuable. They've got great ears because that's the tools that they use to go out and identify birds or insects or amphibians. What we don't have are generalists that go out and can tell you what everything sounds like. And I'll tell you that will probably never ever happen. That's just way too much, we have millions of species that exist on this planet. And we just don't have a specific catalog of what everything sounds like, it's just not possible or doable. So I need to go out and discover and bring those discoveries back that help us to understand nature and understand how the earth is changing. I can't wait for us to eventually develop that catalog. So we're trying to develop techniques and tools and approaches that allow us to develop this electronic catalog. Like you're saying this chorus, and it doesn't necessarily have to be a species specific chorus, it can be a chorus of all these different kind of sounds that we think relate back to this kind of animal or that kind of animal based upon the animals instrument-- >> Right, great. >> And this is the sound. >> Now again, you know, keep it to the exascale theme, right? You're collecting a lot of data and you mentioned in one of the pieces I've dug up, that your longest study in a single location is 17 years. You've got over 4 million recordings. And I think you said over 230 years if you wanted to listen to them all back to back. I mean, this is a huge, a big data problem in terms of the massive amount of data that you have and need to run through an analysis. >> Yeah, that's right. We're collecting 48,000 data points per second. So that's 48 kilohertz. And then so you multiply everything and then you have a sense of how many data points you actually have to put them all together. When you're listening to a sound file over 10 minutes, you have hundreds of sounds that exist in them. Oftentimes you just don't know what they are, but you can more or less put some kind of measure on all of them and then begin to summarize them over space and time and try to understand it from a perspective of really science. >> Right, right. And then I just love to get your take as you progress down this kind of identification road, we're all very familiar with copyright infringement hits on YouTube or social media or whatever, when it picks up on some sound and the technology is actually really sophisticated to pick up some of those sound signatures. But to your point, it's a lot easier to compare against the known and to search for that known. Then when you've got this kind of undefined chorus that said we do know that there can be great analysis done that we've seen AI and ML applied, especially in the surveillance side on the video-- >> Right. >> With video that it can actually do a lot of computation and a lot of extracting signal from the noise, if you will. As you look down the road on the compute side for the algorithms that you guys are trying to build with the human input of people that know what you're listening to, what kind of opportunities do you see and where are we on that journey where you can get more leverage out of some of these technology tools? >> Well, I think what we're doing right now is developing the methodological needs, kind of describe what it is we need to move into that new space, which is going to require these computational, that computational infrastructure. So, for example, we have a study right now where we're trying to identify certain kinds of mosquitoes (chuckling) a vector-borne mosquitoes, and our estimates is that we need about maybe 900 to 1200 specific recordings per species to be able to put it into something like a convolutional neural network to be able to extract out the information, and look at the patterns and data, to be able to say indeed this is the species that we're interested in. So what we're going to need and in the future here is really a lot of information that allow us to kind of train these neural networks and help us identify what's in the sound files. As you can imagine the computational infrastructure needed to do that for data storage and CPU, GPU is going to be truly amazing. >> Right, right. So I want to get your take on another topic. And again the basis of your research is really all bound around the biodiversity crisis right? That's from the kind of-- >> Yeah. >> The thing that's started it and now you're using sound as a way to measure baseline and talk about loss of species, reduced abundancies and rampant expansion of invasive species as part of your report. But I'd love to get your take on cities. And how do you think cities fit the future? Clearly, it's an efficient way to get a lot of people together. There's a huge migration of people-- >> Right. >> To cities, but one of your themes in your Ted Talk is reconnecting with nature-- >> Yeah. >> Because we're in cities, but there's this paradox right? Because you don't want people living in nature can be a little bit disruptive. So is it better to kind of get them all in a tip of a peninsula in San Francisco or-- >> Yeah. >> But then do they lose that connection that's so important. >> Yeah. >> I just love to get your take on cities and the impacts that they're have on your core research. >> Yeah, I mean, it truly is a paradox as you just described it. We're living in a concrete jungle surrounded by not a lot of nature, really, honestly, occasional bird species that tend to be fairly limited, selected for limited environments. So many people just don't get out into the wild. But visiting national parks certainly is one of those kinds of experience that people oftentimes have. But I'll just say that it's getting out there and truly listening and feeling this emotional feeling, psychological feeling that wraps around you, it's a solitude. It's just you and nature and there's just no one around. >> Right. >> And that's when it really truly sinks in, that you're a part of this place, this marvelous place called earth. And so there are very few people that have had that experience. And so as I've gone to some of these places, I say to myself I need to bring this back. I need to tell the story, tell the story of the awe of nature, because it truly is an amazing place. Even if you just close your eyes and listen. >> Right, right. >> And it, the dawn chorus in the morning in every place tells me so much about that place. It tells me about all the animals that exist there. The nighttime tells me so much too. As a scientist that's spent most of his career kind of going out and working during the day, there's so much happening at night. Matter of fact-- >> Right. >> There's more sounds at night than there were during the day. So there is a need for us to experience nature and we don't do that. And we're not aware of these crises that are happening all over the planet. I do go to places and I listen, and I can tell you I'm listening for things that I think should be there. You can listen and you can hear the gaps, the gaps and that in that chorus, and you think what should be there-- >> Right. >> And then why isn't it there? And that's where I really want to be able to dig deep into my sound files and start to explore that more fully. >> It's great, it's great, I mean, I just love the whole concept of, and you identified it in the moment you're in the tent, the thunderstorm came by, it's really just kind of changing your lens. It's really twisting your lens, changing your focus, because that sound is there, right? It's been there all along, it's just, do you tune it in or do you tune it out? Do you pay attention? Do not pay attention is an active process or a passive process and like-- >> Right. >> I love that perspective. And I want to shift gears a little bit, 'cause another big environmental thing, and you mentioned it quite frequently is feeding the world's growing population and feeding it-- >> Yeah. >> In an efficient way. And anytime you see kind of factory farming applied to a lot of things you wonder is it sustainable, and then all the issues that come from kind of single output production whether that's pigs or coffee or whatever and the susceptibility to disease and this and that. So I wonder if you could share your thoughts on, based on your research, what needs to change to successfully and without too much destruction feed this ever increasing population? >> Yeah, I mean, that's one of the grand challenges. I mean, society is facing so many at the moment. In the next 20 years or so, 30 years, we're going to add another 2 billion people to the planet, and how do we feed all of them? How do we feed them well and equitably across the globe? I don't know how to do that. But I'll tell you that our crops and the ecosystem that supports the food production needs the animals and the trees and the microbes for the ecosystem to function. We have many of our crops that are pollinated by birds and insects and other animals, seeds need to be dispersed. And so we need the rest of life to exist and thrive for us to thrive too. It's not an either, it's not them or us, it has to be all of us together on this planet working together. We have to find solutions. And again, it's me going out to some of these places and bringing it back and saying, you have to listen, you have to listen to these places-- >> Right. >> They're truly a marvelous. >> So I know most of your listening devices are in remote areas and not necessarily in urban areas, but I'm curious, do you have any in urban areas? And if so, how has that signature changed since COVID? I just got to ask, (Bryan chuckling) because we went to this-- >> Yeah. >> Light switch moment in the middle of March, human activity slowed down-- >> Yeah. >> In a way that no one could have forecast ever on a single event, globally which is just fascinating. And you think of the amount of airplanes that were not flying and trains that we're not moving and people not moving. Did you have any any data or have you been able to collect data or see data as the impact of that? Not only directly in wherever the sensors are, but a kind of a second order impact because of the lack of pollution and the other kind of human activity that just went down. I mean, certainly a lot of memes (Bryan chuckling) on social media of all the animals-- >> Yeah. >> Come back into the city. But I'm just curious if you have any data in the observation? >> Yeah, we're part of actually a global study, there's couple of hundred of us that are contributing our data to what we call the Silent Cities project. It's being coordinated out of Europe right now. So we placed our sensors out in different areas, actually around West Lafayette area here in Indiana, near road crossings and that sort of thing to be able to kind of capture that information. We have had in this area here now, the 17 year study. So we do have studies that get into areas that tend to be fairly urban. So we do have a lot of information. I tell you, I don't need my sensors to tell me something that I already know and you suspect is true. Our cities were quiet, much quieter during the COVID situation. And it's continued to kind of get a little bit louder, as we've kind of released some of the policies that put us into our homes. And so yes, there is a major change. Now there have been a couple of studies that just come out that are pretty interesting. One, which was in San Francisco looking at the white-crowned sparrow. And they looked at historical data that went back something like 20 years. And they found that the birds in the cities were singing a much softer, 30% softer. >> Really? >> And they, yeah, and they would lower their frequencies. So the way sound works is that if you lower your frequencies that sound can travel farther. And so the males can now hear themselves twice as far just due to the fact that our cities are quieter. So it does have an impact on animals, truly it does. There was some studies back in 2001, during the September, the 9/11 crisis as well, where people are going out and kind of looking at data, acoustic data, and discovering that things were much quieter. I'd be very interested to look at some of the data we have in our oceans, to what extent are oceans quieter. Our oceans sadly are the loudest part of this planet. It's really noisy, sound travels, five times farther. Generally the noise is lower frequencies, and we have lots of ships that are all over the planet and in our oceans. So I'd really be interested in those kinds of studies as well, to what extent is it impacting and helping our friends in the oceans. >> Right, right, well, I was just going to ask you that question because I think a lot of people clearly understand sound in the air that surrounds us, but you talk a lot about sound in ocean, and sound as an indicator of ocean health, and again, this concept of a chorus. And I think everybody's probably familiar with the sounds of the humpback whale right? He got very popular and we've all seen and heard that. But you're doing a lot of research, as you said, in oceans and in water. And I wonder if you can, again, kind of provide a little bit more color around that, because I don't think you people, maybe we're just not that tuned into it, think of the ocean or water as a rich sound environment especially to the degree as you're talking about where you can actually start to really understand what's going on. >> Yeah, I mean, some of us think that sound in the oceans is probably more important to animals than on land, on the terrestrial side. Sound helps animals to navigate through complex waterways and find food resources. You can only use site so far underwater especially when it gets to be kind of dark, once you get down to certain levels. So there many of us think that sound is probably going to be an important component to measuring the status of health in our oceans. >> It's great. Well, Bryan, I really enjoyed this conversation. I've really enjoyed your Ted Talk, and now I've got a bunch of research papers I want to dig into a little bit more as well. >> Okay.(chuckling) >> It's a fascinating topic, but I think the most important thing that you talked about extensively in your Ted Talk is really just taking a minute to take a step back from the individual perspective, appreciate what's around us, hear, that information and I think there's a real direct correlation to the power of exascale, to the power of hearing this data, processing this data, and putting intelligence on that data, understanding that data in a good way, in a positive way, in a delightful way, spiritual way, even that we couldn't do before, or we just weren't paying attention like with what you know is on your phone please-- >> Yeah, really. >> It's all around you. It's been there a whole time. >> Yeah. (both chuckling) >> Yeah, Jeff, I really encourage your viewers to count it, just go out and listen. As we say, go out and listen and join the mission. >> I love it, and you can get started by going to the Center for Global Soundscapes and you have a beautiful landscape. I had it going earlier this morning while I was digging through some of the research of Bryan. (Bryan chuckling) Thank you very much (Bryan murmurs) and really enjoyed the conversation best to you-- >> Okay. >> And your team and your continued success. >> Alright, thank you. >> Alright, thank you. All right, he's Bryan-- >> Goodbye. >> I'm Jeff, you're watching theCUBE. (Bryan chuckling) for continuing coverage of Exascale Day. Thanks for watching. We'll see you next time. (calm ambient music)
SUMMARY :
From around the globe, it's theCUBE, And I'm really excited to and I just loved one of the quotes. I hear the birds, I hear the insects, and some of the work that you guys do. and analyze it as a means to understand A kelp forest and the oceans, a desert, And then to be able to and even folks in the social amount of data that you have and then you have a sense against the known and to for the algorithms that you and our estimates is that we need about And again the basis of your research But I'd love to get your take on cities. So is it better to kind of get them all that connection that's I just love to get your take on cities tend to be fairly limited, And so as I've gone to the dawn chorus in the and you think what should be there-- to explore that more fully. and you identified it in the and you mentioned it quite frequently a lot of things you for the ecosystem to function. of all the animals-- Come back into the city. that tend to be fairly urban. that are all over the planet going to ask you that question to be kind of dark, and now I've got a It's been there a whole time. Yeah. listen and join the mission. the conversation best to you-- and your continued success. Alright, thank you. We'll see you next time.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Michiel | PERSON | 0.99+ |
Anna | PERSON | 0.99+ |
David | PERSON | 0.99+ |
Bryan | PERSON | 0.99+ |
John | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Michael | PERSON | 0.99+ |
Chris | PERSON | 0.99+ |
NEC | ORGANIZATION | 0.99+ |
Ericsson | ORGANIZATION | 0.99+ |
Kevin | PERSON | 0.99+ |
Dave Frampton | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Kerim Akgonul | PERSON | 0.99+ |
Dave Nicholson | PERSON | 0.99+ |
Jared | PERSON | 0.99+ |
Steve Wood | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
NECJ | ORGANIZATION | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Mike Olson | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
Michiel Bakker | PERSON | 0.99+ |
FCA | ORGANIZATION | 0.99+ |
NASA | ORGANIZATION | 0.99+ |
Nokia | ORGANIZATION | 0.99+ |
Lee Caswell | PERSON | 0.99+ |
ECECT | ORGANIZATION | 0.99+ |
Peter Burris | PERSON | 0.99+ |
OTEL | ORGANIZATION | 0.99+ |
David Floyer | PERSON | 0.99+ |
Bryan Pijanowski | PERSON | 0.99+ |
Rich Lane | PERSON | 0.99+ |
Kerim | PERSON | 0.99+ |
Kevin Bogusz | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Jared Woodrey | PERSON | 0.99+ |
Lincolnshire | LOCATION | 0.99+ |
Keith | PERSON | 0.99+ |
Dave Nicholson | PERSON | 0.99+ |
Chuck | PERSON | 0.99+ |
Jeff | PERSON | 0.99+ |
National Health Services | ORGANIZATION | 0.99+ |
Keith Townsend | PERSON | 0.99+ |
WANdisco | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
March | DATE | 0.99+ |
Nutanix | ORGANIZATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Ireland | LOCATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Michael Dell | PERSON | 0.99+ |
Rajagopal | PERSON | 0.99+ |
Dave Allante | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
March of 2012 | DATE | 0.99+ |
Anna Gleiss | PERSON | 0.99+ |
Samsung | ORGANIZATION | 0.99+ |
Ritika Gunnar | PERSON | 0.99+ |
Mandy Dhaliwal | PERSON | 0.99+ |
Susie Wee, Mandy Whaley and Eric Thiel, Cisco DevNet | Accelerating Automation with DevNet 2020
>>from around the globe. It's the Cube presenting accelerating automation with definite brought to you by Cisco. >>Hello and welcome to the Cube. I'm John for a year host. We've got a great conversation virtual event, accelerating automation with definite Cisco. Definite. And of course, we got the Cisco Brain Trust here. Cube alumni Suzy we Vice President, senior Vice President GM and also CTO of Cisco. Definite and ecosystem Success C X, All that great stuff. Many Wadley Who's the director? Senior director of definite certifications. Eric Field, director of developer advocacy. Susie Mandy. Eric, Great to see you. Thanks for coming on. >>Great to see you down. So >>we're not in >>person. We >>don't Can't be at the definite zone. We can't be on site doing definite created All the great stuff we've been doing in the past three years were virtual the cube Virtual. Thanks for coming on. Uh, Susie, I gotta ask you because you know, we've been talking years ago when you started this mission and just the succession had has been awesome. But definite create has brought on a whole nother connective tissue to the definite community. This is what this ties into the theme of accelerating automation with definite because you said to me, I think four years ago everything should be a service or X a s is it's called and automation plays a critical role. Um, could you please share your vision? Because this is really important. And still only 5 to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and program ability. What's your What's your vision? >>Yeah, absolutely. I mean, what we know is that is, more and more businesses are coming online is I mean, they're all online, But is there growing into the cloud? Is their growing in new areas as we're dealing with security is everyone's dealing with the pandemic. There's so many things going on. But what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security. It has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure. How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be ableto really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable, the infrastructure is programmable, and you don't need just acts writing on top. But now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to a higher level business processes and tie all of that up and down the staff by leveraging automation. >>You remember a few years ago when definite create first started, I interviewed Todd Nightingale and we're talking about Muraki. You know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about, then this is kind of what's going on now. And we were just recently, I think our last physical event was Cisco um Europe in Barcelona before all the cove it hit and you had the massive cloud surgeon scale happening going on right when the pandemic hit. And even now, more than ever, the cloud scale the modern APS. The momentum hasn't stopped because there's more pressure now to continue addressing Mawr innovation at scale. Because the pressure to do that because >>the stay alive get >>your thoughts on, um, what's going on in your world? Because you were there in person. Now we're six months in scale is huge. >>We are, Yeah, absolutely. And what happened is as all of our customers as businesses around the world as we ourselves all dealt with, How do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because >>you >>have to go home and then figure out how from home can I make sure that my I t infrastructure is automated out from home? Can I make sure that every employee is out there in working safely and securely? You know, things like call center workers, which had to go into physical locations and being kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world. But also in India, where it was actually not, you know, not they wouldn't let They didn't have rules toe let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer. You know, all of our customers could administer these systems from home, so that puts extra stress on automation. It puts extra stress on our customers digital transformation. And it just forced them toe, you know, automate digitally transform quicker. And they had to because you couldn't just go into a server room and tweak your servers. You have to figure out how to automate all of that. >>You know, one of them >>were still there, all in that environment today. >>You know, one of the hottest trends before the pandemic was observe ability, uh, kubernetes serve micro services. So those things again. All Dev ups. And you know, if you guys got some acquisitions, you thought about 1000 eyes. Um, you got a new one you just bought recently Port shift to raise the game in security, Cuban, All these micro services, So observe, ability, superhot. But then people go work at home, as you mentioned. How do you think? Observe, What do you observing? The network is under huge pressure. I mean, it's crashing on. People zooms and WebEx is and education, huge amount of network pressure. How are people adapting to this in the upside? How are you guys looking at the what's being programmed? What are some of the things that you're seeing with use cases around this program? Ability, challenge and observe ability, challenges? It's a huge deal. >>Yeah, absolutely. And, you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before he had Muraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has This goes entire enterprise and cloud business. So he is now applying that at that Bigger Attn. Bigger scale. Francisco and for our customers. And he is building in the observe ability and the dashboards and the automation of the A P. I s and all of it. But when we take a look at what our customers needed is again, they had to build it all in, um, they had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people toe work from home and how well you could reach customers. All of that used to be a nightie conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually, you know, calling on the heads of I t and the CEO and saying, You know, how is our VPN connectivity? Is everybody working from home? How many people are, you know, connected and ableto work and watch their productivity? Eso All of a sudden, all these things that were really infrastructure I t stuff became a board level conversation and you know, once again, at first everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they're now building in automation, additional transformation and these architectures, and that gives them a chance to build in that observe ability. You know, looking for those events. The dashboards, you know? So it really has been fantastic to see what our customers are doing and what our partners air doing to really rise to that next level. >>Susan, I know you gotta go, but real quick, um, describe what? Accelerating automation with definite means. >>Well, you've been fault. You know, we've been working together on definite in the vision of the infrastructure program ability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that. And you need the right skill sets in the program ability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people. And it is about bringing infrastructure expertise together with software expertise and letting people run. Things are definite. Community has risen to this challenge. People have jumped in. They've gotten their certifications. We have thousands of people getting certified. You know, we have you know, Cisco getting certified. We have individuals. We have partners, you know, They're just really rising to the occasion. So accelerate accelerating automation while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications of cloud directed businesses and cloud growth. So it actually is about people, Justus, much as it is about automation and technology. >>And we got definite create right around the corner virtual. Unfortunately, being personal will be virtual Susie. Thank you for your time. We're gonna dig into those people challenges with Mandy and Eric. Thank you for coming on. I know you got to go, but stay with us. We're gonna dig in with Mandy and Eric. Thanks. >>Thank you so much. Thank you. Thanks, John. Okay. >>Mandy, you heard Susie is about people, and one of the things that's close to your heart you've been driving is a senior director of definite certifications. Um is getting people leveled up? I mean, the demand for skills cybersecurity, network program, ability, automation, network design solution, architect cloud multi cloud design thes are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >>Oh, yes, absolutely. The you know what we've been seeing is a lot of those business drivers that Susie was mentioning those air. What's accelerating? A lot of the technology changes, and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing, uh, customers, partners, people in our community really starting to look at, you know, things like Dev SEC ops engineer, network Automation engineer, network automation developer, which sues you mentioned and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current, um, scope and broaden out and take on new challenges? >>Eric, I want to go to you for a quick second on this, um uh, piece of getting the certifications. Um, first, before you get started, describe what your role is. Director of developer advocacy, because that's always changing and evolving what's the state of it now? Because with Cove and people are working at home, they have more time to contact, switch and get some certifications and that they can code more. What's your >>What's your role? Absolutely So it's interesting. It definitely is changing a lot. A lot of our historically a lot of focus for my team has been on those outward events. So going to the definite creates the Cisco lives and helping the community connect and help share technical information with them, doing hands on workshops and really getting people into. How do you really start solving these problems? Eso that's had to pivot quite a bit. Obviously, Sisco live us. We pivoted very quickly to a virtual event when when conditions changed and we're able to actually connect, as we found out with a much larger audience. So you know, as opposed to in person where you're bound by the parameters of you know how big the convention center is. We were actually able to reach a worldwide audience with are definite day that was kind of attached onto Sisco Live, and we got great feedback from the audience that now we're actually able to get that same enablement out to so many more people that otherwise might not have been able to make it. But to your broader question of you know what my team does. So that's one piece of it is is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes, new learning labs, things like that that they can come and get whenever they're looking for it out on the definite site. And then my team also looks after communities such as the Cisco Learning Network, where there's there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group that all of the people that have been there for years are now looking at the definite certifications and helping other people that are trying to get on board with program ability. They're taking a lot of those same community enablement skills and propping up community with, you know, helping answer questions, helping provide content. They move now into the definite spaces well and are helping people with that sort of certifications. So it's great seeing the community come along and really see that >>I gotta ask you on the trends around automation. What skills and what developer patterns are you seeing with automation? Are Is there anything in particular? Obviously, network automation been around for a long time. Cisco's been leader in that. But as you move up, the staff has modern applications or building. Do you see any patterns or trends around what is accelerating automation? What people learning? >>Yeah, absolutely. So you mentioned observe ability was big before Cove it and we actually really saw that amplified during co vid. So a lot of people have come to us looking for insights. How can I get that better observe ability now that we needed? Well, we're virtual eso. That's actually been a huge uptick, and we've seen a lot of people that weren't necessarily out looking for things before that air. Now, figuring out how can I do this at scale? I think one good example that Susie was talking about the VPN example, and we actually had a number of SCS in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up and one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that I T departments might care about about their firewalls, things that you didn't normally look at. The old days you would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100% things like licenses started coming into play where they need to make sure they had the right capacity in their platforms that they weren't necessarily designed for. So one of the essays actually wrote a bunch of code to go out, use them open source, tooling to monitor and alert on these things, and then published it so the whole community code could go out and get a copy of it. Try it out in their own environment. And we saw a lot of interest around that and trying to figure out Okay, now I could take that. I can adapt into what I need to see for my observe ability. >>That's great, Mandy, I want to get your thoughts on this, too, because as automation continues to scale. Um, it's gonna be a focus. People are at home. And you guys had a lot of content online for you. Recorded every session that in the definite zone learning is going on sometimes literally and non linearly. You've got the certifications, which is great. That's key. Great success there. People are interested. But what other learnings are you seeing? What are people, um, doing? What's the top top trends? >>Yeah. So what we're seeing is like you said, people are at home, they've got time, they want toe advance, their skill set. And just like any kind of learning, people want choice. They wanna be able to choose which matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors leading them through a study plan. On we have two new expert lead study groups like that. We're also seeing whole teams at different companies who want to do an immersive learning experience together with projects and office hours and things like that. And we have a new offer that we've been putting together for people who want those kind of team experiences called Automation Boot Camp. And then we're also seeing individual who want to be able to, you know, dive into a topic, do a hands on lab, gets, um, skills, go to the rest of the day of do their work and then come back the next day. And so we have really modular, self driven hands on learning through the Definite Fundamentals course, which is available through DEV. Net. And then there's also people who are saying, I just want to use the technology. I like Thio experiment and then go, you know, read the instructions, read the manual, do the deeper learning. And so they're They're spending a lot of time in our definite sandbox, trying out different technologies. Cisco Technologies with open source technologies, getting hands on and building things, and three areas where we're seeing a lot of interest in specific technologies. One is around SD wan. There's a huge interest in people Skilling up there because of all the reasons that we've been talking about. Security is a focus area where people are dealing with new scale, new kinds of threats, having to deal with them in new ways and then automating their data center using infrastructure as code type principles. So those were three areas where we're seeing a lot of interest and you'll be hearing more about that at definite create. >>Awesome Eric and man, if you guys can wrap up the accelerated automated with definite package and virtual event here, um, and also t up definite create because definite create has been a very kind of grassroots, organically building momentum over the years. Again, it's super important because it's now the app world coming together with networking, you know, end to end program ability. And with everything is a service that you guys were doing everything with a piece. Um Onley can imagine the enablement that's gonna enable create Can >>you hear the >>memory real quick on accelerating automation with definite and TF definite create. Mandy will start with you. >>Yes, I'll go first, and then Eric can close this out. Um, so just like we've been talking about with you at every definite event over the past years, you know, Devon, it's bringing a p I s across our whole portfolio and up and down the stack and accelerating automation with definite. Suzy mentioned the people aspect of that the people Skilling up and how that transformed team transforms teams. And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so would I think about accelerating automation with definite. It's about the definite community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community with those new skills. >>Eric, take us home. He accelerate automation. Definite and definite create a lot of developer action going on cloud native right now, your thoughts? >>Absolutely. I I think it's exciting. I mentioned the transition to virtual for definite day this year for Cisco Live, and we're seeing we're able to leverage it even further with create this year. So whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding a start now track for people that I want to be there. They want to be a developer. Network automation developer, for instance, We've now got a track just for them where they could get started and start learning some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. Eso. I love that we're able to bring that together with the experience community that we usually do from across the industry, bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mixed together as well as getting some of our business units together to and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new AP eyes into their platforms? What are the what problems are they hoping that customers will be able to solve with them? So I think together, seeing all of that and then bringing the community together from all of our usual channels. So, like I said, Cisco Learning Network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >>Awesome. Thanks so much. God, man, can >>I add one had >>one more thing. >>Yeah, I was just going to say the other really exciting thing about create this year with the virtual nature of it is that it's happening in three regions. And, you know, we're so excited to see the people joining from all the different regions. And, uh, content and speakers and the region stepping upto have things personalized to their area to their community. And so that's a whole new experience for definite create that's going to be fantastic this year. >>You know, that's what God is going to close out and just put the final bow on that by saying that you guys have always been successful with great content focused on the people in the community. I think now, during with this virtual definite virtual definite create virtual the cube virtual, I think we're learning new things. People working in teams and groups on sharing content. We're gonna learn new things. We're gonna try new things, and ultimately people will rise up and will be resilient. I think when you have this kind of opportunity, it's really fun. And whoa, we'll ride the wave with you guys. So thank you so much for taking the time to come on. The Cuban talk about your awesome accelerate automation and definitely looking forward to it. Thank you. >>Thank you so much. >>Happy to be here. >>Okay, I'm John for the Cube. Virtual here in Palo Alto studios doing the remote content amendment Virtual until we're face to face. Thank you so much for watching. And we'll see you at definite create. Thanks for watching.
SUMMARY :
automation with definite brought to you by Cisco. And of course, Great to see you down. We of accelerating automation with definite because you said to me, I think four years ago And in order to do that, you know, the whole new tool that we've always talked about is that the network You know, not to get in the weeds, but you know, switches and hubs and wireless. Because you were there in person. And then it turns out, you know, business keeps rolling, but we've had to automate even more because And they had to because you couldn't just go into a server room and tweak your servers. And you know, if you guys got some acquisitions, you thought about 1000 eyes. So all of a sudden CEOs were actually, you know, calling on the heads of I t and the CEO and Susan, I know you gotta go, but real quick, um, describe what? to the level of, you know, being able to put infrastructure and software expertise together to I know you got to go, but stay with us. Thank you so much. Mandy, you heard Susie is about people, and one of the things that's close to your heart partners, people in our community really starting to look at, you know, things like Dev SEC Eric, I want to go to you for a quick second on this, um uh, piece of getting the certifications. So you know, as opposed to in person where you're bound by the parameters of you know how big the convention center I gotta ask you on the trends around automation. that I T departments might care about about their firewalls, things that you didn't normally look at. And you guys had a lot of content online for And then we're also seeing individual who want to be able to, you know, dive into a topic, together with networking, you know, end to end program ability. Mandy will start with you. with you at every definite event over the past years, you know, Devon, it's bringing a p I s across our Definite and definite create a lot of developer So whereas it used to be, you know, confined by the walls that we were within for the event. God, man, can And, you know, we're so excited to see the You know, that's what God is going to close out and just put the final bow on that by saying that you guys And we'll see you at definite create.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Mandy | PERSON | 0.99+ |
Susie | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Susan | PERSON | 0.99+ |
Eric Field | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
Susie Mandy | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Eric Thiel | PERSON | 0.99+ |
Susie Wee | PERSON | 0.99+ |
India | LOCATION | 0.99+ |
Mandy Whaley | PERSON | 0.99+ |
Suzy | PERSON | 0.99+ |
six months | QUANTITY | 0.99+ |
100% | QUANTITY | 0.99+ |
Cisco Brain Trust | ORGANIZATION | 0.99+ |
Barcelona | LOCATION | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
Cisco Learning Network | ORGANIZATION | 0.99+ |
Todd Nightingale | PERSON | 0.99+ |
three regions | QUANTITY | 0.99+ |
5 | QUANTITY | 0.99+ |
four years ago | DATE | 0.98+ |
one piece | QUANTITY | 0.98+ |
pandemic | EVENT | 0.98+ |
three areas | QUANTITY | 0.98+ |
Todd | PERSON | 0.98+ |
One | QUANTITY | 0.97+ |
first | QUANTITY | 0.97+ |
this year | DATE | 0.97+ |
Wadley | PERSON | 0.97+ |
today | DATE | 0.96+ |
one | QUANTITY | 0.96+ |
one central place | QUANTITY | 0.96+ |
Cisco DevNet | ORGANIZATION | 0.95+ |
10% | QUANTITY | 0.95+ |
Cisco Technologies | ORGANIZATION | 0.95+ |
Sisco live | ORGANIZATION | 0.94+ |
one good example | QUANTITY | 0.91+ |
Vice President | PERSON | 0.91+ |
Cube | COMMERCIAL_ITEM | 0.91+ |
three | QUANTITY | 0.9+ |
Onley | PERSON | 0.87+ |
one more thing | QUANTITY | 0.87+ |
Cove | ORGANIZATION | 0.86+ |
about 1000 eyes | QUANTITY | 0.86+ |
Cuban | OTHER | 0.86+ |
second | QUANTITY | 0.86+ |
past three years | DATE | 0.85+ |
Justus | PERSON | 0.85+ |
Muraki | PERSON | 0.84+ |
next day | DATE | 0.84+ |
Devon | PERSON | 0.83+ |
two new expert lead study | QUANTITY | 0.81+ |
Europe | LOCATION | 0.8+ |
2020 | DATE | 0.79+ |
DevNet | ORGANIZATION | 0.79+ |
few years ago | DATE | 0.79+ |
Cisco DevNet 2020 V5 FULL
>>Hello everyone. This is Dave Vellante, and I want to welcome you to the cubes presentation of accelerating automation with dev net in this special program, we're going to explore how to accelerate digital transformation and how the global pandemic is changing the way we work and the kinds of work that we do, the cube has pulled together experts from Cisco dev net. Now dev net is essentially Cisco as code. I've said many times in the cube, but in my opinion, it's the most impressive initiative coming out of any established enterprise infrastructure company. What Cisco has done brilliantly with dev net is to create an API economy by leveraging its large infrastructure portfolio and its ecosystem. But the linchpin of dev net is the army of trained Cisco engineers, including those with the elite CC I E designation. Now dev net was conceived to train people on how to code infrastructure and develop applications in integrations. It's a platform to create new value and automation is a key to that. Creativity. Now let's kick things off with the architect of dev net senior vice president in general manager of Cisco's dev net and CX ecosystem success. Susie, we roam around the globe presenting accelerating automation with damnit brought to you by Cisco. >>Hello and welcome to the cube. I'm Sean for a year host. We've got a great conversation, a virtual event, accelerating automation with dev net, Cisco dev net. And of course we got the Cisco brain trust here, our cube alumni, Susie wee vice president, senior vice president GM, and also CTO of Cisco dev net and ecosystem success CX all that great stuff. Many Wade Lee, who's the director, senior director of dev net certifications, Eric field, director of developer advocacy, Susie Mandy, Eric. Great to see you. Thanks for coming on. Great to see you, John. So we're not in first. We don't, can't be at the dev net zone. We can't be on site doing dev net creative, all the great stuff we've been doing over the past few years where virtual the cube virtual. Thanks for coming on. Uh, Susie, I gotta ask you because you know, we've been talking years ago when you started this mission and just the success you've had has been awesome, but dev net create has brought on a whole nother connective tissue to the dev net community. This is what this ties into the theme of accelerating automation with dev net, because you said to me, I think four years ago, everything should be a service or X AAS as it's called and automation plays a critical role. Um, could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your, what's your vision? >>Yeah, absolutely. I mean, what we know is that as more and more businesses are >>Coming online is, I mean, they're all online, but as they're growing into the cloud is they're growing in new areas. As we're dealing with security is everyone's dealing with the pandemic. There's so many things going on. Uh, but what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security, it has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable and you don't need just apps riding on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to higher level business processes and tie all of that up and down the staff by leveraging automation. >>You know, I remember a few years ago when dev net created for start a, I interviewed Todd Nightingale and we were talking about Meraki, you know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about, then this is kind of what's going on now. And we were just recently, I think our last physical event was a Cisco, um, uh, Europe in Barcelona before all the COVID hit. And you had this massive cloud surgeon scale happening going on, right when the pandemic hit. And even now more than ever the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that, um, cause the business stay alive. And to get your thoughts on, um, what's going on in your world because you were there in person now we're six months in scale is huge. >>We are. Yeah, absolutely. And what happened is as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home, can I make sure that my it infrastructure is automated out from home? Can I make sure that every employee is out there and working safely and securely, you know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. >>So we had to extend business applications to people's homes, uh, in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they wouldn't let, they didn't have rules to let people work from home in these areas. So then what had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate digitally, transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still all in that environment today. >>Now one of the hottest trends before the pandemic was observability, uh, Coobernetti's serve, uh, microservices. So those things, again, all dev ops and, you know, have you guys got some acquisitions, you about thousand eyes? Um, um, you've got a new one you just bought, um, recently port shift to raise the game in security Cooper and all these microservices. So observability super hot, but then people go work at home. As you mentioned, how do you observe, what are you observing? The network is under a huge pressure. I mean, it's crashing on people's zooms and WebExes and, uh, education, huge amount of network pressure. How are people adapting to this and the app side? How are you guys looking at the what's being programmed? What are some of the things that you're seeing with use cases around this program? Ability, challenge and observability challenges. It's a huge deal. >>Yeah, absolutely. And, um, you know, going back to Todd Nightingale, right. You know, back when we talked to Todd before he had Meraki and he had designed this simplicity, this ease of use this cloud managed, you know, doing everything from one central place and now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger, um, at that bigger scale for Cisco and for our customers. And he is building in the observability and the dashboards and the automation and the API APIs into all of it. Um, but when we take a look at what our customers needed is again, they had to build it all in. Um, they have to build in and what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. >>All of that used to be an it conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually calling on the heads of it and the CIO and saying, you know, how's our VPN connectivity is everybody working from home? How many people are connected and able to work and what's their productivity. So all of a sudden, all these things that were really infrastructure, it stuff became a board level conversation. And, you know, once again, at first, everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has, has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >>Cause you know, you got to go, but real quick, um, describe what accelerating automation with dev net means. Well, you've >>Been falling, you know, we've been working together on dev net and the vision of the infrastructure programmability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people rumblings are definite community has risen to this challenge. Um, people have jumped in, they've gotten their certifications. We have thousands of people getting certified. Uh, you know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerate, accelerating automation while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications of, you know, cloud directed businesses and cloud growth. So it actually is about people just as much as it is about automation and technology. >>We got dev net created right around the corner, virtual unfortunate won't be in person, but we'll be virtual. Susie. Thank you for your time. We're going to dig into those people, challenges with Mandy and Eric. Thank you for coming on. I know you've got to go, but stay with us. We're going to dig in with Mandy and Eric. >>Thanks. Thank you so much. Have fun. Thanks John. >>Okay. Mandy, you heard, uh, Susie is about people and one of the things that's close to your heart and you've been driving is, uh, as senior director of dev net certifications, um, is getting people leveled up. I mean the demand for skills, cybersecurity network, programmability automation, network design solution architect, cloud multicloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >>Oh yes, absolutely. The, you know, what we've been seeing is a lot of those business drivers that Susie was mentioning, those are, what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network, automation, engineer, network, automation, developer, which Susie mentioned and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. >>Eric, I want to go to you for a quick second on this, um, um, piece of getting the certifications. Um, first, before you get started, describe what your role is as director developer advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact, switch and get some certifications and that they can code more. What's your >>Absolutely. So it's interesting. It definitely is changing a lot. A lot of our historically a lot of focus for my team has been on those outward events. So going to the Devin that creates the Cisco lives and helping the community connect and to help share tech mountain technical information with them, um, doing hands on workshops and really getting people into how do you really start solving these problems? Um, so that's had to pivot quite a bit. Um, obviously Cisco live us. We pivoted very quickly to a virtual event when, when conditions changed and we're able to actually connect as we found out with a much larger audience. So, you know, as opposed to in person where you're bound by the parameters of, you know, how big the convention center is, uh, we were actually able to reach a worldwide audience with our, uh, our definite data that was kind of attached on to Cisco live. >>And we got great feedback from the audience that now we were actually able to get that same enablement out to so many more people that otherwise might not have been able to make it. Um, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes and your learning labs, things like that, that they can come and get whenever they're looking for it out on a dev net site. And then my team also looks after communities such as the Cisco learning network where this there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group, that all of the people that have been there for years are now looking at the domain certifications and helping other people that are trying to get on board with programmability. They're taking a lot of those same community enablement skills and propping up the community with, you know, helping you answer questions, helping provide content. They've moved now into the dump space as well, and are helping people with that service or what it's great seeing the community come along and really see that. Okay. >>I ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Are, is there anything in particular, obviously network automation has been around for a long time. Cisco has been leader in that, but as you move up, the stack as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? >>Yeah, absolutely. So you mentioned a observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability, uh, now that we need it? Well, we're virtual. Um, so that's actually been a huge uptake and we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out how can I do this at scale? I think one good example that, uh, Susie was talking about the VPN example, and we actually had a number SES in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that it departments might care about, about their firewalls, things that you do normally look at me old days, you would size your firewalls based on, you know, assuming a certain number of people working from home. >>And when that number went to a hundred percent things like licenses started coming into play, where they needed to make sure they have the right capacity in their platforms that they weren't necessarily designed for. So one of the STDs actually wrote a bunch of code to go out, use some open source tooling, to monitor and alert on these things and then published it. So the whole community code could go out and get a copy of it, try it out their own environment. And we saw a lot of interest around that in trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >>That's great. Mandy. I want to get your thoughts on this too, because as automation continues to scale, um, it's going to be a focus and people are at home and you guys had a lot of content online for you recorded every session that didn't the dev Ned zone learnings going on, sometimes linearly. And nonlinearly you got the certifications, which is great. That's key, key, great success there. People are interested, but what are the learnings? Are you seeing? What are people doing? What's the top top trends. >>Yeah. So what we're seeing is like you said, people are at home, they've got time. They want to advance their skillset. And just like any kind of learning people want choice because they want to be able to choose what's matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors, leading them through a study plan. And we have two new, uh, expert led study groups like that. We're also seeing whole teams at different companies who want to do, uh, an immersive learning experience together, uh, with projects and office hours and things like that. And we have a new, um, offer that we've been putting together for people who want those kinds of team experiences called automation boot camp. And then we're also seeing individuals who want to be able to, you know, dive into a topic, do a hands on lab, get some skills, go to the rest of the day of do their work and then come back the next day. >>And so we have really modular self-driven hands on learning through the dev net fundamentals course, which is available through dev net. And then there's also people who are saying, I just want to use the technology. I like to experiment and then go, you know, read the instructions, read the manual, do the deeper learning. And so they're, they're spending a lot of time in our dev net sandbox, trying out different technologies, Cisco technologies with open source technologies, getting hands on and building things. And three areas where we're seeing a lot of interest in specific technologies. One is around SD wan. There's a huge interest in people skilling up there because of all the reasons that we've been talking about security is a focus area where people are dealing with new, new kinds of threats, having to deal with them in new ways and then automating their data center, using infrastructure as code type principles. So those are three areas where we're seeing a lot of interest and you'll be hearing some more about that at dev net create >>Eric and Mandy. If you guys can wrap up this accelerate automation with dev net package and a virtual event here, um, and also tee up dev net create because dev net create has been a very kind of grassroots, organically building momentum over the years. And again, it's super important cause it's now the app world coming together with networking, you know, end to end programmability and with everything as a service that you guys are doing everything with API APIs, I'm only can imagine the enablement that's gonna create. Can you share the summary real quick on accelerating automation with dev net and tee up dev net create Mandy, we'll start with you. >>Yes, I'll go first. And then Eric can close this out. Um, so just like we've been talking about with you at every Devin event over the past years, you know, damnit is bringing APIs across our whole portfolio and up and down the stack and accelerating, uh, automation with dev net. Susie mentioned the people aspect of that the people's skilling up and how that transformed teams, transforms teams. And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so what I think about accelerating automation with dev net, it's about the Duveneck community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community. With those new skills. >>Eric take us home. He accelerating automation, dev net and dev net create a lot of developer action going on in cloud native right now, your thoughts? >>Absolutely. I think it's exciting. I mentioned the transition to virtual for Devin that day, this year for Cisco live. And we're seeing, we're able to leverage it even further with create this year. So, whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding the start now track for people that want to be there. They want to be a developer, a network automation developer, for instance, we've now got attract just for them where they can get started and start learning. Some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. Um, so I love that we're able to bring that together with the experienced community that we usually do from across the industry, bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud, to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mix together, as well as getting some of our business units together too, and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new APIs into their platforms? What are the, what problems are they hoping >>That customers will be able to solve with them? So I think together seeing all of that and then bringing the community together from all of our usual channels. So like I said, Cisco learning network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >>Awesome. Thanks so much. >>Can I add one, add one more thing? Yeah. I was just gonna say the other really exciting thing about create this year with the virtual nature of it is that it's happening in three regions. And, um, you know, we're so excited to see the people joining from all the different regions and, uh, content and speakers and the region stepping up to have things personalized to their area, to their community. And so that's a whole new experience for them that create that's going to be fantastic this year. >>Yeah. That's what I was going to close out and just put the final bow on that. By saying that you guys have always been successful with great content focused on the people in the community. I think now during what this virtual dev net virtual dev net create virtual, the cube virtual, I think we're learning new things. People working in teams and groups and sharing content, we're going to learn new things. We're going to try new things and ultimately people will rise up and we'll be resilient. I think when you have this kind of opportunity, it's really fun. And we'll, we'll, we'll ride the wave with you guys. So thank you so much for taking the time to come on the cube and talk about your awesome accelerating automation and dev net. Great. Looking forward to it. Thank you. >>Thank you so much. Happy to be here. >>Okay. I'm Jennifer with the cube virtual here in Palo Alto studios doing the remote content amendment virtual tour face to face. Thank you so much for watching and we'll see you at dev net create thanks for watching. >>Welcome back. And Jeffrey, >>The cube coming to you from our Palo Alto studio with ongoing coverage of the Cisco dev data van, it's called accelerating automation with dev net and the new normal. And we certainly know the new normal is, is not going away. They've been doing this since the middle of March or all the way to October. And so we're excited to have our next guest is Thomas Shively. He's the vice president of product marketing and data center networking for the intent based networking group at Cisco Thomas. Great to see you. >>Hey, good to see you too. Yeah. Yeah. Everybody can see on our background. Exactly, >>Exactly. So, I mean, I'm curious, we've talked to a lot of people. We talked to a lot of leaders, you know, especially like back in March and April with this light switch moment, which was, you know, no time to prep and suddenly everybody has to work from home. Teachers got to teach from home. And so you got the kids home, you got the spouse home, everybody's home trying to get on the network and do their zoom calls in their classes. I'm curious from your perspective, you guys are right there on the, on the network you're right in the infrastructure. What did you hear and see kind of from your customers when suddenly, you know, March 16 hit and everybody had to go home. >>Wow, good point. Hey, I do think we all appreciate the network >>Much more than we used to do before. Uh, and then the only other difference is I'm really more on WebEx calls and zoom calls, but, you know, otherwise, uh, yes. Um, what, what I do see actually is that as I said, network becomes much more operative as a critical piece. And so before we really talked a lot about, uh, agility and flexibility these days, we talk much more about resiliency quite frankly. Uh, and what do I need to have in place with respect to network to get my things from left to right. And you know, it, 2000 East to West, as we say on the data center. Right. Uh, and that just is for most of my customers, a very, very important topic at this point. >>Right. You know, it's, it's amazing to think, you know, had this happened, you know, five years ago, 10 years ago, you know, the ability for so many people in, in, in the information industry to be able to actually make that transition relatively seamlessly, uh, is, is actually pretty amazing. I'm sure there was some, some excitement and some kudos in terms of, you know, it, it is all based on the network and it is kind of this quiet thing in the background that nobody pays attention to. It's like a ref in the football game until they make a bad play. So, you know, it, it is pretty fascinating that you and your colleagues have put this infrastructure and that enabled us to really make that move with, with, with really no prep, no planning and actually have a whole lot of services delivered into our homes that we're used to getting at the office are used to getting at school. >>Yeah. And I mean, to your point, I mean, some of us did some planning, can we clearly talking about some of these, these trends and the way I look at this trans as being distributed data centers and, um, having the ability to move your workloads and access for users to wherever you want to be. And so I think that clearly went on for a while then. So in a sense, we, we, we prep was, or no, but we're prepping for it. Um, but as I said, resiliency just became so much more important than, you know, one of the things I actually do a little block, a little, little, uh, abrupt before a block I put out end of August around resiliency. Uh, you, you, if he didn't, if he didn't put this in place, you better put it in place. Because I think as we all know, we sold our match. This is like maybe two or three months, we're now in October. Um, and I sing, this is the new normal for some time being. Yeah, >>I think so. So let's stick on that theme in terms of, of trends, right? The other great, uh, trend as public cloud, um, and hybrid cloud and multi cloud, there's all types of variants on that theme you had in that blog post about, uh, resiliency in data center, cloud networking, data center cloud, you know, some people think, wait, it's, it's kind of an either, or I either got my data center or I've got my stuff in the cloud and I've got public cloud. And then as I said, hybrid cloud, you're talking really specifically about enabling, um, both inner inner data center resiliency within multi data centers within the same enterprise, as well as connecting to the cloud. That's probably counterintuitive for some people to think that that's something that Cisco is excited about and supporting. So I wonder if you can share, you know, kind of how the market is changing, how you guys are reacting and really putting the things in place to deliver customer choice. >>Yeah, no, it's actually, to me, it's really not a counterintuitive because in the end was what, uh, I'm focusing on. And the company is focused on is what our customers want to do and need to do. Uh, and that's really, um, would, you know, most people call hybrid cloud or multi-cloud, uh, in, in the end, what it is, what it is, is really the ability to have the flexibility to move your workloads where you want them to be. And there are different reasons why you want to place them, right? You might've placed them for security reasons. You might have played some compliance reasons, depending on which customer segment you after, if you're in the United States or in Europe or in Asia, there are a lot of different reasons where you're going to put your sinks. And so I sing in the end, what a, an enterprise looks for is that agility, flexibility, and resiliency. >>And so really what you want to put in place is what we call like the cloud on ramp, right? You need to have an ability to move sings as needed. But the logic context section, which we see in the last couple of months, accelerating is really this whole seam around digital transformation, uh, which goes hand in hand then was, uh, the requirement on the at T side really do. And I T operations transformation, right. How it operates. Uh, and I think that's really exciting to see, and this is where a lot of my discussions I was customers, uh, what does it actually mean with respect to the it organization and what are the operational changes? This a lot of our customers are going through quite frankly, accelerated right. Going through, >>Right. And, and automation is in the title of the event. So automation is, you know, is an increasingly important thing, you know, as the, as we know, and we hear all the time, you know, the flows of data, the complexity of the data, either on the security or the way the network's moving, or as you said, shifting workloads around, based on the dynamic situations, whether that's business security, et cetera, in a software defined networking has been around for a while. How are you seeing kind of this evolution in adding more automation, you know, to more and more processes to free up those, those, um, no kind of limited resources in terms of really skilled people to focus on the things that they should be focused on and not stuff that, that hopefully you can, you know, get a machine to run with some level of. >>Yeah. Yeah. That's a good point. And I said the tech line, I have, you know, sometimes when my mind is really going from a cloud ready, which is in most of our infrastructure is today to cloud native. And so let me a little expand on those, right? There's like the cloud ready is basically what we have put in place over the last five to six years, all the infrastructure that all our customers have, network infrastructure, all the nexus 9,000, they're all cloud ready. Right. And what this really means, do you have API APIs everywhere, right? Whether this is on the box, whether it's on the controller, whether this is on the operations tools, all of these are API enabled and that's just the foundation for automation, right? You have to have that. Now, the next step really is what do you do with that capability? >>Right? And this is the integration with a lot of automation tools, uh, and that's a whole range, right? And this is where the it operation transformation kicks in different customers at different speeds, right? Some just, you know, I use these API APIs and use NoMo tools that they have on a network world just to pull information. Some customers go for further and saying, I want to integrate this with some CMDB tools. Some go even further and saying, this is like the cloud native pleasing, Oh, I want to use, let's say red hat Ansible. I want to use, uh, how she called Terraform and use those things to actually drive how I manage my infrastructure. And so that's really the combination of the automation capability. Plus the integration with relevant cloud native enabling tools that really is happening at this point. We're seeing customers accelerating that, that motion, which really then drives us how they run their it operations. Right? And so that's a pretty exciting, exciting area to see a given. I, we have the infrastructure in place. There's no need for customers to actually do change something. Most of them have already the infrastructures that can do this. It is just no doing the operational change. The process changes to actually get there. >>Right. And it's funny, we, we recently covered, you know, PagerDuty and, and they highlight what you just talked about. The cloud native, which is, you know, all of these applications now are so interdependent on all these different API APIs, you know, pulling data from all of these applications. So a, when they work great, it's terrific. But if there's a problem, you know, there's a whole lot of potential throat to choke out there and find, find those issues. And it's all being connected via the network. So, you know, it's even more critically important, not only for the application, but for all these little tiny components within the application to deliver, you know, ultimately a customer experience within a very small units of time, uh, so that you don't lose that customer. You, you complete that transaction. They, they check out of their shopping cart. You know, all these, these things that are now created with cloud native applications that just couldn't really do before. >>No, you're absolutely right. And that's, this is like, just sit. I'm actually very excited because it opens up a lot of abilities for our customers, how they want to actually structure the operation. Right? One of the nice things around this or automation plus, uh, tool integration, cloning to, and integration is you actually opened this up, not a soul automation train, not just to the network operations personnel, right. You also open it up and can use this for the second ops person or for the dev ops person or for the cloud ops engineering team. Right. Because the way it's structured, the way we built this, um, is literally as an API interface and you can now decide, what is your process do you want to have? And what traditional, you have a request network, operation teams executes the request using these tools and then hand it back over. >>Or do you say, Hey, maybe some of these security things I got to hand over the sec ups team, and they can directly call these these KPIs, right? Or even one step further, you can have the opportunity that the dev ops or the application team actually says, Hey, I got to write a whole infrastructure as code kind of a script or template, and I just execute. Right. And it's really just using what the infrastructure provides. And so that whole range of different user roles and our customer base, what they can do with the automation capability that's available. It's just very, very exciting way because it's literally unleashes a lot of flexibility, how they want to structure and how they want to rebuild the it operations processes. >>That's interesting, you know, cause the, you know, the DevOps culture has taken over a lot, right. Obviously change software programming for the last 20 years. And I think, you know, there's a, there's a lot of just kind of the concept of dev ops versus necessarily, you know, the actual things that you do to execute that technique. And I don't think most people would think of, you know, network ops or, you know, net ops, you know, whatever the equivalent is in the networking world to have, you know, kind of a fast changing dynamic, uh, kind of point of view versus a, you know, stick it in, you know, spec it, stick it in, lock it down. So I wonder if you can, you can share how, you know, kind of that dev ops, um, attitude point of view, workflow, whatever the right verb is, has impacted, you know, things at Cisco and the way you guys think about networking and flexibility within the networking world. >>Yeah, literally, absolutely. And again, it's all customer driven, right? There's none of those. None of those is really actually, you know, a little bit of credit, maybe some of us where we have a vision, but a lot of it is just customer driven feedback. Uh, and yeah, we, we do have network operations teams comes to saying, Hey, we use Ansible heavily on the compute side, we might use this for alpha seven. We want to use the same for networking. And so we made available all these integrations, uh, with sobriety as a state, whether these are the switches, whether these are ACI decent, a controller or our multicell orchestration capabilities, all of these has Ansible integration the way to the right. Uh, the other one, as I mentioned, that how she formed Turco Terraform, we have integrations available and they see the requests for these tools to use that. >>Uh, and so that is emotion where in for all the, you know, and, uh, another block actually does out there, we just posted saying, Neil, all set what you can do and then a Palo to this, right. Just making the integration available. We also have a very, very heavy focus on definite and enablement and training, uh, and you know, a little plugin. I know, uh, probably, uh, part of the segment, the whole definite community that Cisco has is very, very vibrant. Uh, and the beauty of this is right. If you look at us, whether you're a NetApps person or dev ops person or SecOps person, it doesn't really matter. It has a lot of like capability available to just help you get going or go from one level to the next level. Right. And it's simplest thing that like sent books and why moments where you can, we know what's out stress, try sinks out snippets of code Coda there, you can do all of these things. And so we do see it's a kind of a push and pull a tremendous amount of interest and a tremendous, uh, uh, time people spend to learn quite frankly. And that's another site product of, of, you know, the situation we're in and people said, Oh man, and say, okay, online learning, that's the thing. So these, these, these tools are used very, very heavily. Right, >>Right. That's awesome. Cause you know, we've, we've had Susie Lee on a number of times and I know he and Mandy and the team really built this dev net thing. And it really follows along this other theme that we see consistently across other pieces of tech, which is democratization, right. Democratization of the access tool, taking it out of, of just a mahogany row with, again, a really limited number of people that know how to make it work and can make the changes and then opening up to a software defined world where now that the, you know, the, it says application centric, point of view, where the people that are building the apps to go create competitive advantage. Now don't have to wait for, you know, the one network person to help them out out of these environments. Really interesting. And I wonder if, you know, when you look at what's happening with public cloud and how they kind of change the buying parameter, how they kind of changed the degree of difficulty to get projects started, you know, how you guys have kind of integrated that, that type of thought process to make it easier for app developers to get their job done. >>Yeah. I mean, again, it's, it's, uh, I typically look at this more from a, from a customer lands, right? It's the transformation process and it always starts as I want agility. I want flexibility. I want to resiliency, right. This is where we talk to a business owner, what they're looking for. And then that translates into, into an I operations process, right? Your strategy needs to map then how you actually do this. Uh, and that just drives then what tools do you want to have available to actually enable this? Right. And the enablement again is for different roles, right? There is you need to give sync services to the app developer and, uh, the, the platform team and the security team, right. To your point. So the network, uh, can act at the same speed, but you also give to us to the network operations teams because they need to, uh, adjust. >>Then they have the ability to react to, uh, to some of these requirements. Right. And it's not just automation. I say, we, we, we focused on that, but there's also to your point, the, the need, how do I extend between data centers? You know, just, just for backup and recovery and how do I extend into, into public clouds, right? Uh, and in the end, that's a, that's a network connectivity problem. Uh, and we have soft as, uh, we have made as available. We have integrations into, uh, AWS. We have integrations into a joy to actually make this very easy from a, from a network perspective to extend your private, private networks into which of private networks on these public clouds. So from an app development perspective, now it looks like he's on the same network. It's a protective enterprise network. Some of it might sit here. >>Some of it might sit here, but it's really looking the same. And that's really in the enticing, what a business looks at, right. They don't necessarily want to say, I need to have something separate for this deployment. What's a separate for that deployment. What they want is I need to deploy something. I need to do this resilient. And the resilient way in an agile way gives me the tools. And so that's really where we focused, um, and what we're driving, right? It's that combination of automation consistently, and then definite tools, uh, available that we support. Uh, but they're all open. Uh, they're all standard tools as the ones I mentioned, right. That everybody's using. So I'm not getting into this. Oh, this is specific to Cisco, right. It's really democratisation. I actually liked your term. Yeah. >>Yeah. It's, it's a great terminate. And it's, it's really interesting, especially with, with the API APIs and the way everything is so tied together that everyone kind of has to enable this because that's what the customer is demanding. Um, and it is all about the applications and the workloads and where those things are moving, but they don't really want to manage that. They just want to, you know, deliver business benefit to their customers and respond to, uh, you know, competitive threats in the marketplace, et cetera. So it's really an interesting time for the infrastructure, you know, to really support kind of this app first point of view, uh, versus the other way around is kind of what it used to be and, and enable this hyper fast development hyper fast, uh, change in, in, in the competitive landscape or else you will be left behind. Um, so super important stuff. >>Yeah, no, I totally agree. And as I said, I mean, it's, it's kind of interesting is we, we started on the Cisco data center side. We started this probably six or seven years ago. Uh, when we, when we named the application centric, uh, clearly a lot of these concepts evolve, uh, but in a sense it is that reversal of the role from the network provides something and you use to, uh, this is what I want to do. And I need a service, uh, thinking on a networking side to expose. So as that can be consumed. And so that clearly is playing out. Um, and as I said, automation is a key key foundation that we put in place, uh, and our customers, most of our customers at this point, uh, on these, on these products, uh, they have all the capabilities they are, they can literally take advantage. There's really nothing that stops them point. >>Well, it's good times for you because I'm sure you've seen all the memes and in social media, right. What what's driving your digital transformation is that the CEO, the CMO or COVID, and we all know the answer to the question. So I don't think the, the pace of change is going to slow down anytime soon. So keeping the network up and enabling us all to get done, what we have to get done and all the little magic that happens behind the scenes. >>Yeah. No thanks. Thanks for having me. And again, yeah. If you're listening and you're wondering, how do I get started Cisco? Definitely just the place to go. It's fantastic. Fantastic. I highly recommend everybody roll up his sleeves and you know, the best races you can have. >>And we know once the physical events come back, we've been to dev net create a bunch of times, and it's a super vibrant, super excited, but really engaged community sharing. Lots of information is kind of, it's still kind of that early vibe, you know, where everyone is still really enthusiastic and really about learning and sharing information. So, you know, like say Susie and the team are really built a great thing, and we're a, we're happy to continue to cover it. And eventually we'll be back, uh, face to face. I look forward to that as well. All right, thanks. Uh, he's Thomas I'm Jeff, you're watching continuing coverage of Cisco dev net accelerating with automation and programmability >>Kia. Nini is here. He's a distinguished engineer at Cisco TK, my friend. Good to see you again. How are you? Good. I mean, you and I were in Barcelona in January and, you know, we knew we saw this thing coming, but we didn't see it coming this way. Did we know that no one did, but yeah, that was right before everything happened. Well, it's weird. Right? I mean, we were, you know, we, we, it was in the back of our minds in January, we sort of had Barcelona's hasn't really been hit yet. It looked like it was really isolated in China, but, uh, but wow, what a change and I guess, I guess I'd say I'd start with the, we're seeing really a secular change in, in your space and security identity, access management, cloud security, endpoint security. I mean, all of a sudden these things explode as the work from home pivot has occurred, and it feels like these changes are permanent or semi-permanent, what are you seeing out there? >>I don't think anybody thinks the world's going to go back the way it was. Um, to some degree it's, it's changed forever. Um, you know, I, I, I do a lot of my work remotely. Um, and, and so, you know, being a remote worker, isn't such a big deal for me, but for some, it was a huge impact. And like I said, you know, um, remote education, you know, everybody's on the opposite side of a computer. And so the digital infrastructure has just become a lot more important to protect the integrity of it essentially is almost our own integrity these days. Yeah. And when you see that, you know, that work from home pivot, I mean, you know, our estimates are, or along with our partner, DTR about 16% of the workforce was at home working from home prior to COVID and now it's know, North of 70% >>Plus, and that's going to come down maybe a little bit over the next, next six months. We'll see what happens with the fall surge, but, but people essentially accept, expect that to at least double that 16%, you know, going forward indefinitely. So how, what does that, what kind of pressure does that put on the security infrastructure and how, how organizations are approaching security? >>Yeah, I, I just think, uh, from a mindset standpoint, you know, what was optional, uh, maybe, um, last year, uh, is no longer optional and I don't think it's going to go back. Um, I think, I think a lot of people, uh, have changed the way, you know, they live and the way they work. Um, and they're doing it in ways, hopefully that, you know, in some cases, uh, yield more productivity, um, again, um, you know, usually with technology that's severely effective, it doesn't pick sides. So the security slant to it is it frankly works just as well for the bad guys. And so that's, that's the balance we need to keep, which is we need to be extra diligent, uh, on how we go about securing infrastructure, uh, how we go about securing even our, our social channels, because remember all our social channels now are digital. So that's, that's become the new norm. >>You know, you've helped me understand over the years. I remember a line you shared with me in the cube one time is that the adversary is highly capable as sort of the, of the phrase that you used. And, and essentially the way you describe it, as you know, your job as a security practitioner is to decrease the bad guy's return on investment, you know, increase their costs, increase the numerator, but as, as work shifts from home, yeah, I'm in my house, you know, my wifi in my, you know, router with my, you know, dog's name is the password, you know, it's much, much harder for me to, to increase that denominator at home. So can you help? >>Yeah. I mean, it's, it is, it is truly, um, when you think, when you get into the mind of the adversary and, and, uh, you know, the cyber crime out there, they're honestly just like any other business they're trying to operate with high margin. And so if you can get there, if you can get in there and erode their margin, frankly go find something else to do. Um, and, and again, you know, you know, the shift we experienced day to day is it's not just our kids are online in school and, uh, our work is online, but all of the groceries we order, um, you know, this Thanksgiving and holiday season, uh, a lot more online shopping is going to place. So everything's gone digital. And so the question is, you know, how, how do we up our game there so that we can go about our business, uh, effectively. And I make it very expensive for the adversary to operate, uh, and take care of their business. Cause it's nasty stuff. >>I want to ask you about automation generally, and then specifically how it applies to security. So we, I mean, we certainly saw the ascendancy of the hyperscalers and of course they really attacked the it labor problem. We learned a lot from that and an it organizations have applied much of that thinking. And it's critical at scale. I mean, you just can't scale humans at the pace, the technology scales today, how does that apply to security and specifically, how is automation affecting security? >>Yeah, it's, it's, it's the topic these days. Um, you know, businesses, I think, realize that they can't continue to grow at human scale. And so the reason why automation and things like AI and machine learning have a lot of value is because everyone's trying to expand, uh, and operate at machine scale. Now, I mean that for, for businesses, I mean that for, you know, education and everything else now, so are the adversaries, right? So it's expensive for them to operate at Cuban scale and they are going to machine scale, going to machine scale, uh, a necessity is that you're going to have to harness some level of automation, have the machines, uh, work on your behalf, have the machines carry your intent. Um, and when you do that, um, you can do it safely or you could do it dangerously. And that that's really kind of your choice. Um, you know, just because you can automate something doesn't mean you should, um, you, you wanna make sure that frankly, the adversary can't get in there and use that automation on their behalf. So it's, it's a tricky thing because, you know, if, when you take the phrase, you know, uh, how do we, how do we automate security? Well, you actually have to, uh, take care of, of securing the automation first. >>Yeah. We talked about this in Barcelona, where you were explaining that, you know, the, the bad guys, the adversaries are essentially, you know, weaponizing using your own tooling, which makes them appear safe because it's, they're hiding in plain sight. >>Well, there's, they're clever, uh, give them that, um, you know, that there's this phrase that they, they always talk about called living off the land. Um, there's no sense in them coming into your network and bringing their tools and, uh, and being detective, you know, if they can use the tools that's already there, then, uh, they have a higher degree of, of evading, uh, your protection. If they can pose as Alice or Bob, who's already been credentialed and move around your network, then they're moving around the network as Alice or Bob. They're not marked as the adversary. So again, you know, having the detection methods available to find their behavior anomalies and things like that become a paramount, but also, you know, having the automation to contain them, to eradicate them, to, you know, minimize their effectiveness, um, without it, I mean, ideally without human interaction, cause you, you just, can you move faster, you move quicker. Um, and I, I see that with an asterisk because, um, if, if done wrong, frankly, um, you're just making their job more effective. >>I wonder if we could talk about the market a little bit, uh, it's I'm in the security space, cybersecurity 80 plus billion, which by the way, is just a little infant Tessa mill component of our GDP. So we're not spending nearly enough to protect that massive, uh, GDP, but guys, I wonder if you could bring up the chart because when you talk to CSOs and you ask them, what's your, what's your biggest challenge? Let's say lack of talent. And, and so what this chart shows is from ETR, our, our, our survey partner and on the vertical axis is net score. And that's an indication of spending momentum on the horizontal axis is market share, which is a measure of presence, a pervasiveness, if you will, inside the data sets. And so there's a couple of key points here. I wanted to put forth to our audience and then get your reactions. >>So you can see Cisco, I highlighted in red, Cisco is business and security is very, very strong. We see it every quarter. It's a growth area that Chuck Robbins talks about on the, on the conference call. And so you can see on the horizontal axis, you've got, you know, big presence in the data set. I mean, Microsoft is out there, but they're everywhere, but you're right there in that, in that data set. And then you've got for such a large presence, you've got a lot of momentum in the marketplace, so that's very impressive. But the other point here is you've got this huge buffet of options. There's just a zillion vendors here. And that just adds to the complexity. This is of course only a subset of what's in the security space. You know, the people who answered for the survey. So my question is how can Cisco help simplify this picture? Is it automation? Is it, you know, you guys have done some really interesting tuck in acquisitions and you're bringing that integration together. Can you talk about that a little bit? >>Yeah. I mean, that's an impressive chart. I mean, when you look to the left there it's, um, I had a customer tell me once that, you know, I came to this trade show, looking for transportation, and these people are trying to sell me car parts. Um, that's the frustration customers have, you know, and I think what Cisco has done really well is to really focus on the outcomes. Um, what is the customer outcome? Cause ultimately that's, that is what the customer wants. You know, there might be a few steps to get to that outcome, but the closest you can closer, you can get to delivering outcomes for the customer, the better you are. And I think, I think security in general has just year over year have been just written with, um, you need to be an expert. Um, you need to buy all these parts and put it together yourself. And, and I think, I think those days are behind us, but particularly as, as security becomes more pervasive and we're, you know, we're selling to the business, we're not selling to the, you know, t-shirt wearing hacker anymore. >>Yeah. So, well, well, how does cloud fit in here? Because I think there's a lot of misconceptions about cloud people that God put my data in the cloud I'm safe, but you know, of course we know it's a shared responsibility model. So I'm interested in your, your thoughts on that. Is it really, is it a sense of complacency? A lot of the cloud vendors, by the way, say, Oh, the state of security is great in the cloud. Whereas many of us out there saying, wow, it's, it's not so great. Uh, so what are your thoughts on that, that whole narrative and what Cisco's play in, in cloud? >>I think cloud, um, when you look at the services that are delivered via the cloud, you see that exact pattern, which is you see customers paying for the outcome or as close to the outcome as possible. Um, you know, no, no data center required, no disk drive required, you just get storage, you know, it's, it's, it's all of those things that are again, closer to the outcome. I think the thing that interests me about cloud two is it's really been, it's really punctuated the way we go about building systems. Um, again, at machine scale. So, you know, before, when I write code and I think about what computers are gonna run on, or, you know, what servers are going to is you're going to run on those. Those thoughts never crossed my mind anymore. You know, I'm modeling the intent of what the service should do and the machines then figure it out. So, you know, for instance, on Tuesday, if the entire internet shows up, uh, the, the system works without fail. And if on Wednesday, if only North America shows up, you know, so what, but, but there's no way you could staff that, right? There's just no human scale approach that gets you there. And that's, that's the beauty of all of this cloud stuff is, um, it really is, uh, the next level of how we computer science. >>So you're talking about infrastructure as code and that applies to, you know, security as code. That's what, you know, dev net is really all about. I've said many times, I think Cisco of the, the large established enterprise companies is one of the few, if not the only, that really has figured out, you know, that developer angle, because it's practical do, you're not trying to force your way into developers, but, you know, I wonder if you could, you could talk a little bit about that trend and where you see it going. >>Yeah, no, that is, that is truly the trend. Every time I walk into dev net, um, the big halls at Cisco live, it is Cisco as code. Um, everything about Cisco is being presented through an API. It is automation ready. And, and frankly, that is, um, that is the love language of the cloud. Um, it's it's machines, if the machines talking to machines in very effective ways. So, you know, it is the, the, uh, I, I think, I think necessary, maybe not sufficient but necessary for, um, you know, doing all the machine scale stuff. What what's also necessary, uh, is to, um, to secure if, if infrastructure is code therefore, um, what, what secure, uh, what security methodologies do we have today that we use to secure code while we have automated testing, we have threat modeling, right? Those things actually have to be now applied to infrastructure. So when I, when I talk about how do you do, uh, automation securely, you do it the same way you secure your code, you test it, you, you threaten model, you, you, you say, you know, Ken, my adversary, uh, exhibit something here that drives the automation in a way that I didn't intend it to go. Um, so all of those practices apply. It's just, everything is code these days. >>I've often said that security and privacy are sort of two sides of the same coin. And I want to ask you a question and it's really, to me, it's not necessarily Cisco and company likes companies like Cisco's responsibility, but I wonder if there's a way in which you can help. And of course, there's this Netflix documentary circling around the social dilemma. I don't know if you have a chance to see it, but basically dramatize is the way in which companies are appropriating our data to sell us ads and, you know, creating our own little set of facts, et cetera. And that comes down to sort of how we think about privacy and admin. It's good from the standpoint of awareness, you know, you may or may not care if you're a social media user. I love tick doc. I don't care, but they sort of laid out this pretty scary scenario with a lot of the inventors of those technologies. You have any thoughts on that? And you'll consist go play a role there in terms of protecting our privacy mean beyond GDPR and California consumer privacy act. Um, what do you think? >>Yeah. Um, uh, I'll give you my, you know, my humble opinion is you, you fix social problems with social tools, you fixed technology problems with technology tools. Um, I think there is a social problem. Um, uh, that needs to be rectified the, you know, um, we, we, weren't built as human beings to live and interact with an environment that agrees with us all the time. It's just pretty wrong. So yeah, that, that, that, um, that series that really kind of wake up a lot of people it is, is, you know, it's probably every day I hear somebody asked me if I, I saw, um, but I do think it also, you know, with that level of awareness, I think we, we overcome it or we compensate by what number one, just being aware that it's happening. Um, number two, you know, how you go about solving it, I think maybe come down to an individual or even a community's, um, solution and what might be right for one community might be, you know, not the same for the other. So you have to be respectful in that manner. >>Yeah. So it's, it's, it's almost, I think if I could, you know, play back, what I heard is, is yeah. Technology, you know, maybe got us into this problem, but technology alone is not going to get us out of the problem. It's not like some magic AI bot is going to solve this. It's got to be, you know, society has to really, really take this on as your premise. >>When I, when I first started playing online games, I'm going back to, you know, the text based adventure stuff like muds and Mose. I did a talk at, at MIT one time and, um, this old curmudgeon in the back of the room, um, we were talking about democracy and we were talking about, you know, the social processes that we had modeled in our game and this and that. And this guy just gave us the SmackDown. He needs to be walked up to the front of the room and said, you know, all you techies, you judge efficiency by how long it takes. He says, democracy is a completely the opposite, which is you need to sleep on it. In fact, you shouldn't be scared if somebody can decide in a minute, what is good for the community? It, two weeks later, they probably have a better idea of what's good for the community. So it almost has the opposite dynamic. And that was super interesting to me, >>Really interesting, you know, you read the, like the, the Lincoln historians and he was criticized in the day for having taken so long, you know, to make certain decisions, but, you know, ultimately when he acted acted with, with confidence. Um, so to that point, but, um, so what, what else are you working on these days that, uh, that are, that is, is interesting that maybe you want to share with our audience? Anything that's really super exciting for you or are you >>Yeah. You know, generally speaking, um, try not try and make it a little harder for the bad guys to operate. I guess that's a general theme making it simpler for the common person to use, uh, tools. Um, again, you know, all of these security tools, no matter how fancy it is, it's not that we're losing the complexity, it's that we're moving the complexity away from the user so that they can drive at human scale. And we can do things at machine scale and kind of working those two together is sort of the, the, the magic recipe. Um, it's, it's not easy, but, um, but it is, it is fun. So that's, that's what keeps me engaged. >>I'm definitely seeing, I wonder if you see it as just sort of a, obviously a heightened organization awareness, but I'm also seeing shifts in the organizational structures. You know, the, you know, it used to be a sec ops team and an Island. Okay, it's your problem? You know, the, the, the CSO cannot report into the, to the CIO because that's like the Fox in the hen house, a lot of those structures are, are, are changing. It seems, and be becoming a, this responsibility is coming much more ubiquitous across the organization. What are you seeing there? And what are you? >>And it's so familiar to me because, you know, um, I, I started out as a musician. So, you know, bands bands are a great analogy. You know, you play bass, I big guitar. You know, somebody else plays drums, everybody knows their role and you create something that's larger than the sum of all parts. And so that, that analogy I think, is coming to, you know, we, we saw it sort of with dev ops where, you know, the developer, doesn't just throw their coat over the wall and it's somebody else's problem. They move together as a band. And, and that's what I think, um, organizations are seeing is that, you know, why, why stop there? Why not include marketing? Why not include sales? Why don't we move together as a business? Not just here's the product and here's the rest of the business. That's, that's, that's pretty awesome. Um, I think, uh, we see a lot of those patterns, uh, particularly for the highly high performance businesses. >>You know, in fact, it's interesting, you have great analogy by the way. And you actually see in that within Cisco, you're seeing sort of a, and I know sometimes you guys don't like to talk about the plumbing, but I think it matters. I mean, you've got a leadership structure now. I I've talked to many of them. They seem to really be more focused on how their connect connecting, you know, across organizations. And it's increasingly critical in this world of, you know, of silo busters. Isn't it? >>Yeah, no, I mean, you almost, as, as you move further and further away, you know, you can see how ridiculous it was before it would be like acquiring the band and say, okay, all your guitar players go over here. All your bass players go over there. Like what happened to the band? That's what I'm talking about is, you know, moving all of those disciplines, moving together and servicing the same backlog and achieving the same successes together is just so awesome. Well, I, I always feel better after talking to you. You know, I remember I remember art. Coviello used to put out his letter every year and I was reading. I'd get depressed. We spend all this money now we're less secure. But when I talked to you TK, I feel like much more optimistic. So I really appreciate the time you spend on the cube. It's, it's awesome to have you as a guest. I love these, I love these sessions. So things thanks for inviting me and I miss you, you know, hopefully, you know, next year we can get together at some of the Cisco shows or other shows, but be well and stay weird. Like the sign says kidney, thanks so much for coming to the Q. We, uh, we really appreciate it. And thank you for watching everybody. This is Dave Volante. We've right back with our next guest. This short break, >>After the cubes coverage, just to keep virtuals coverage of dev net create virtual. We're not face to face the cubes been there with dev net and dev net create. Since the beginning, dev net create was really a part of the dev net community. Looking out at the external market outside of Cisco, which essentially is the cloud native world, which is going mainstream. We've got a great guest here. Who's, who's been the company's been on the cube. Many times. We've been talking to them recently acquired by Cisco thousand eyes. We have Joe Vaccaro is beast vice president of product. Uh, Joe, welcome to the cube. Thanks for coming on. Great. And thanks for having me. You have the keys to the kingdom, you, the vice president of product, which means you get to look inside and you get to look outside, figure it all out, uh, make everything run on thousand eyes. >>You guys have been finding common language, uh, across multiple layers of network intelligence, external services. This is the heart of what we're seeing in innovation with multi-cloud microservices, cloud native. This is really a hot area it's converged in multiple theaters and technology. Super important. I want to get into that with you, but first thousand eyes is recently acquired by Cisco, um, big acquisition, uh, super important, the new CEO of Cisco, very clear API, everything we're seeing that come out. That's a big theme at dev net create the ecosystem of Cisco's going outside their own, you know, their, their walls outside of the Cisco network operators, network engineers. We're talking to developers talking programmability. This is the big theme. What's it like at Cisco? Tell us, honestly, the COVID hits. You get acquired by Cisco, tell us what's happening. >>Yeah, it's really been an exciting six months for the entire team and customers, >>You know, as we all kind of shifted to the new normal of working from home. And I think, you know, that change alone really kind of amplified. Even some of the fundamental beliefs that we have as a company that you know, cloud is becoming the new data center or customers that Indra internet has become the new network and the new enterprise network backbone. And that SAS has really become the new application stack. And as you think about these last six months, those fundamental truths have never been more evident as we rely upon the cloud to be able to, to work as we rely upon our own home networks and the internet in order to be productive. And as we access more sized applications on a daily basis. And as you think about those fundamental truths, what's common across all of them is that you rely upon them now more than ever, not only to run your business, but to any of your employees would be productive, but you don't own them. And if you don't own them, then you lack the ability in a traditional way to be able to understand that digital experience. And I think that's ultimately what, what thousand eyes is trying to solve for. And I think it's really being amplified in really these last six months. >>Talk about the Cova dynamic because I think it highlighted and certainly accelerated digital transformation, but specifically exposes opportunities, challenges, weaknesses, I've talked to many CXOs CSOs. Uh, sec security is huge. Um, the home of the conference book talk track we'll get to in a second, but it exposes what's worth doubling down on what to abandoned from a project standpoint, as people start to look at their priorities, they're going, Hey, we got to have a connected experience. We got to have security. People are working at home. No one has VPNs at home. VPNs are passe. Maybe it's SD when maybe it's something else they're on a backbone. They're connecting to the internet, a lot of different diversity in connections. At the same time, you got a ton of modern apps running for these networks. This is a huge issue. COVID is exposed this at scale. What's your view on this? And what is thousand eyes thinking about this? >>You know, if you think about the kind of legacy application delivery, it went from largely users in an office connected over, say a dedicated corporate network, largely to traditional say internal hosted applications. And that was a early, simple, uh, connectivity bath. And as you mentioned, we've seen amplifications in terms of the diversity from the users. So users are not in the office. Now they're connected in distributed disparate locations that are dynamically changing. And you think that how they're getting to that application, they're going across a really complex service chain of different network services that are working together across as public internet backbone will totally to land them on an application. And then those applications themselves are becoming now, as you mentioned, distributed largely based upon a microservices architecture and increasing their own dependence upon third party sample size applications to fulfill say, functions of that application, those three things together. >>Ultimately you're creating that level level of complex service chain that really makes it difficult to understand the digital experience and ultimately the it organization newly chartered with not just delivering the infrastructure, but delivering the right experience. And you then have a way to be able to see, to gain that visibility, that experience, you know, to measure it and understand, and to provide that intelligence and then ultimately to act on it, to be able to ensure that your employees, as well as your customers are getting the right overall, um, approach to being able to leverage those assets. >>It's funny, you know, as you get into some of these high-scale environments, a lot of these concepts are converging. You know, we had terms like automation, self healing networks. Um, you mentioned microservices early, you mentioned data at the clouds, the new data center, uh, or when's the new land. However, we're going to look at it. It's a whole different architecture. So I want to get your thoughts on, on the automation piece of networking and internet outages, for instance, um, because when you, you know, there's so many outages going up and down, it is like, uh, catching, looking for a needle in a haystack, right. So, um, we've had this conversation with you guys on the cube before, how does automation occur when you guys look at those kinds of things? Uh, what's important to look at, can you comment on and react to, you know, the internet outages and how you find resolve those? >>Yeah. It's um, it was really great. And as you mentioned, automation really in a place that a key, when you think about the, just a broad problem that it is trying to drive and, you know, from our lens, we look at it in really three ways. First off is you have to be able to gain the level of visibility from where it matters and be able to, to test and be able to provide that level of active measurements across the, the type of ways you want to be able to inspect the network. But then also from the right vantage points, you want to inspect it. But what we talk about right inside, you know, data, um, alone, doesn't solve that problem. As you mentioned, that needle in the haystack, you know, data just provides the raw metrics that are screaming across the screen. You have to then enable that data to provide meeting. >>You need to enable that data become intelligent. And that intelligence comes through the automation of being able to process that data very quickly, allow you to be able to see the unseen, to allow you to be able to quickly understand the issues that are happening across this digital supply chain to identify issues that are even happening outside of your own control across the public internet. And then the last step of automation really comes in the form of the action, right? How do you enable that intelligence to be put, to use? How do you enable that intelligence to then drive across the rest of your it workflow as well as to be able to be used as a signaling engine, to be able to then make the fundamental changes back at the network fabric, whether that is a dressing or modifying your BGB pairing, that we see happen within our customers using thousand eyes data, to be able to route around major internet outages that we've seen over the past six months, or to be able to then that data, to be able to optimize the ultimate experience that they're delivering to both our customers, as well as our employees, >>Classic policy based activity, taking it to a whole nother level. I got to get your thoughts on the employees working at home. Okay. Because, um, you know, most it, people are like, Oh yeah, we're going to forecast in cases of disruption or a hurricane or a flood or hurricane Sandy, but now with COVID, everyone's working at home. So who would have forecasted a hundred percent, um, you know, work from home, which puts a lot of pressure on him, everything. So I got to ask you, now that employees are working at home, how do you tie network visibility to the actual user experience? >>Yeah, that's a great question. As you, you know, we saw it within our own customer base, you know, when COVID head and we saw this rise of work from home, it teams were really scrambling and said, okay, I have to light up this, say VPN infrastructure, or I need to now be able to support my users in a work from home situation where I don't control the corporate network. In essence, now you have essentially thousands. Every employee is acting across their own corporate network and people were then using thousand eyes in different ways to be able to monitor their CTPs infrastructure across, back into the corporate network, as well as in using our thousand eyes end point agents that runs on a local, a user's laptop or machine in their home to help you to be able to gain that visibility down to that last mile of connectivity. >>Because when a user calls up support and says, I'm having trouble say accessing my application, whether that's Salesforce or something else, what ultimately might be causing that issue might not necessarily be a Salesforce issue, right? It could be the device in the device performance in terms of CPU, memory utilization. It could be the wifi and the signal quality within your wifi network. It could be your access point. It could be your raw, local home router. It can be your local ISP. It could be the path that you're taking ultimately to your corporate network or that application. There's so many places that could go wrong that are now difficult to be able to see, unless you have the ability to see comprehensively from the user to the application, and to be able to understand that full end to end path, >>You know, it teams have also been disrupted. They've been on offsite prop off property as well, but you've got the cloud. How has your technology helped the it teams? Can you give some examples there? Um, >>Yeah, a great way is, you know, how people use thousand eyes as part of that data sharing ecosystem. Again, that notion of how do you go from visibility to intelligence action and where in the past you might be able as an it administrator to walk over to their network team and say, Hey, can you take a look at what I'm seeing now? That's no longer available. So how do you be able to work efficiently as the United organization? You know, we think a thousand eyes in how our customers are using us a thousand times becomes a common operating language that allows them to be able to analyze across from the application down into the underlying infrastructure, through those different layers of the network what's happening. And where do you need to focus your attention? And then furthermore, with 10,000 eyes in terms of a need, enabling that data sharing ecosystem, leveraging our share link capability really gives them the ability to say, you know, what, here's what I'm seeing and be able to send that to anybody within the it organization. But it goes even further and many times in recent times, as well as over the course of people using thousand eyes, they take those share links and actually send them to their external providers because they're not just looking to resolve issues within their own it organization. They're having to work collaboratively with a different ISP. If they're pairing with, with their cloud providers that they're appearing, uh, they're leveraging, or the SAS applications that are part of that core dependency of how they deliver their experience. >>I asked you the question, we think about levels of visibility and making the lives easier for it. Teams. Um, you see a lot of benefits with thousand eyes. You pointed out a few of them just got to ask you the question. So if I'm an it person I'm in the trenches, are you guys have, uh, an aspirin or a vitamin or both? Can you give an example because there's a lot of pain point out there. So yeah. Give me a cup, a couple Advils and aspirins, but also you're an enabler to the new things are evolving. You pointed out some use case. You talk about the difference between where you're helping people pain points and also enabling them be successful for it teams. >>Yeah, that's a great analogy. You're thinking it, like you said, it definitely sits on both sides of that spectrum, you know, thousand eyes is the trusted tool, the source of truth for it. Organizations when issues are happening as their alarm bells are ringing, as they are generating the, um, the different, uh, on call, uh, to be able to jump into a war situation thousand eyes is that trusted source of truth. Allow them to focus, to be able to resolve that issue in the heat of the moment. But that was a nice also when we think about baselining, your experience, what's important is not understanding that experience at that moment at time, but also how that's deviated over time. And so by leveraging thousand eyes on a continuous basis, it gives you that ability to see the history of that experience, to understand how your network is changing is as you mentioned, networks are constantly evolving, right? >>The internet itself is constantly changing. It's an organic system, and you need to be able to understand not only what are the metrics that are moving out of your bounds, but then what is potentially the cause of that as a network has evolved. And then furthermore, you can be begin to use that as you mentioned, in terms of your vitamin type of an analogy, to be able to understand the health of your system over time on a baseline basis so that you can begin to, uh, be able to ensure its success in a great way to really kind of bring that to light. As people using say, thousand eyes as part of the same se land-based rollout, where you're looking to say benchmark, and you can confidence as you look to scale out in either, you know, benchmarking different ESPs within that, I feel like connectivity for as you look to ensure a level of success with a single branch, give you that competence to then scale out to the rest of your organization. >>That's great insights. The classic financial model ROI got baseline and upside, right? You got handle the baseline as you pointed out, and the upside music experience connectivity, you know, application performance, which drives revenue, et cetera. So great point. Great insight, Joe. Thank you so much for that insight. It's got a final question for you. I want to just riff a little bit with you on the industry. A lot of us have been having debates about automation and who doesn't, who doesn't love automation. Automation is awesome, right? Automate things, but as the trend starts going on, as everything is a service or X, a S as it's called, certainly Cisco's going down that road. Talk about your view about the difference between automation and everything is a service because at the end of the day, everything will be a service, but without automation, you really can't have services, right? So, you know, automation, automation, automation, great, great drum to bang all day long, but then also you got the same business side saying as a service, as a service, pushing that into the products, it means not trivial. Talk about, talk about how you look at automation and everything as a service and the relationship and interplay between those two concepts. >>Yeah. Ultimately I think about in terms of what is the problem that the business is trying to solve in ultimately, what is the deal that they're trying to face? And in many ways, right, they're being exploded with increase of data that needs, they need to be able to not only process and gather, but then be able to then make use of, and then from that, as we mentioned, once you've processed that data and you've said, gather the insights from it. You need to be able to then act on that data. And automation plays a key role of allowing you to be able to then put that through your workflow. Because again, as that, it experience becomes even more complex as more and more services get put into that digital supply chain. As you adopt say increased complexity within your infrastructure, by moving to a multicloud architecture where you look to increase the number of say, network services that you're leveraging across that digital experience. >>Ultimately you need with the level of automation, you'll be able to see outside of your own vantage point. You need to be able to look at the problem from as broad of a, a broad of a way as possible. And, you know, data and automation allows you to be able to do what is fundamentally difficult to do from a very narrow point of view, in terms of the visibility you gather intelligence you generate, and then ultimately, how do you act on that data as quick as possible to be able to provide the value of what you're looking for. >>It's like a feature it's under the hood. The feature of everything comes to the surface is automation, data, machine learning, all the goodness in the software. I mean, that's really kind of what we're talking about here. Isn't it a final question for you as we wrap up, uh, dev net create really, again, is going beyond Cisco's dev net community going into the industry ecosystem where developers are there. Um, these are folks that want infrastructure as code. They want network as code. So network programmability, huge topic. We've been having that conversation, uh, with Cisco and others throughout the industry for the past three years. What's your message to developers out there that are watching this who say, Hey, I just want to develop code. Like I want, you know, you guys got that. That was nice. Thanks so much. You know, you take care of that. I just want to write code. What's your message to those folks out there who want to tap some of these new services, these new automation, these new capabilities, what's your message. >>And ultimately, I think, you know, when you're looking at thousand eyes, um, you know, from a fraud perspective, you know, we try to build our product in an API first model to allow you to be able to then shift left of how you think about that overall experience. And from a developer standpoint, you know, what I'd say is, is that while you're developing in your silo, you're going to be part of a larger ultimate system. In your experience you deliver within your application is now going to be dependent upon not only the infrastructure that's running upon, but the network it's connected to, and then ultimately the user in the sense of that user and by leveraging that thousand eyes and being able to then integrate thousand into how you think closely on that experience, that's going to help ensure that ultimately the application experience that the developer's looking to deliver meets that objective. And I think what I would say is, you know, while you need to focus on your, uh, your role as a developer, having the understanding of how you fit into the larger ecosystem and what the reality of the, of how your users access that application is critical. >>Awesome, Joe, thank you so much. Again, trust is everything letting people understand that what's going on underneath is going to be viable and capable. You guys got a great product and congratulations on the acquisition that Cisco made of your company. We've been following you guys for a long time and a great technology chops, great market traction, congratulations to everyone, 1,009. Thanks for coming on sharing. I appreciate it. Thanks Joe Vaccaro, vice president of product here, but thousand nine is now part of Cisco, John, for your host of the cube cube virtual for dev net, create virtual. Thanks for watching. >>Even prior to the pandemic, there was a mandate to automate the hyperscale cloud companies. They've shown us that to scale. You really have to automate you human labor. It just can't keep up with the pace of technology. Now, post COVID that automation mandate is even more pressing. Now what about the marketplace? What are S E seeing on the horizon? The cubes Jeff Frick speaks with Cisco engineers to gather their insights and explore the definite specialized partner program. We've got a Coon Jacobs. He's the director of systems engineering for Cisco. >>Good to see Kuhn. >>Thank you for having me >>Joining him as Eric nip. He is the VP of system systems engineering for Cisco. Good to see Eric. Good to be here. Thank you. Pleasure. So before we jump into kind of what's going on now in this new great world of programmability and, and control, I want to kind of go back to the future for a minute because when I was doing some research for this interview, it was cool. I saw an old presentation that you were giving from 2006 about the changing evolution of the, uh, the changing evolution of networking and moving from. I think that the theme was a human centered human centered network. And you were just starting to touch a little bit on video and online video. Oh my goodness, how far we have come, but I would love to get kind of a historical perspective because we've been talking a lot and I know Eric son plays football about the football analogy of the network is kind of like an offensive lineman where if they're doing a good job, you don't hear much about them, but they're really important to everything. >>And the only time you hear about them as the women, the flag gets thrown. So if you look back with the historical perspective, the load and the numbers and the evolution of the network, as we've moved to this modern time, and, you know, thank goodness cause of COVID hit five years ago, 10 years ago, 15 years ago, you know, all of us in the information space would not have been able to make this transition. So I just, I just love to get some historical perspective cause you've been kind of charting this and mapping this for a very long time. >>Yeah. W we absolutely have. I think, you know, what you're referring to was back in the day, the human network campaign, and to your point, the load, the number of hosts that traffic that just overall, the intelligence of the network has just evolved tremendously over these last decade and a half, uh, 15 years or so. And you look at where we are now in terms of the programmable nature of the network and what that enables in terms of new degrees of relevance that we can create for the customers and how, you know, the role of it has changed entirely again, especially during this pandemic, you know, the fact that it's now as a serve as an elastic is absolutely fundamental to being able to ensure, uh, on an ongoing basis, a great customer experience. And so, uh, it's been, it's been, uh, a very interesting ride. >>And then just to close the loop, the, one of your more later interviews talking to Sylvia, your question is, are you a developer or an engineer? So it was, and, and your whole advice to all these network engineers is just, just don't jump in and start doing some coding and learning. So, you know, the focus and really the emphasis and where the opportunity to differentiate as a company is completely shifting gears over to the, you know, really software defined side. >>Oh, absolutely. So I mean, you look at how the software world and the network has come together and how we're applying now, you know, basically the same construct of CIC pipeline to network, uh, infrastructure, look at network really as, and get all of the benefits from that. And the familiarity of it, the way that our engineers have had to evolve. And that is just, you know, quite, quite significant in, in, in like the skill set. And the best thing is jump in, right. You know, dip your toe in the water, but continue to evolve that skill set. And, you know, don't, don't be shy. It's a leap of faith for some of us who've been in the industry a bit longer. We like to look at ourselves as the craftsman of the network, but now it's definitely a software centricity and programmability, right? >>So Eric, you've got some digital exhaust out there too, that I was able to dig up going back to 2002 752 page book and the very back corner of a dark dirty dusty Amazon warehouse is managing Cisco network security, 752 pages. Wow. How has security change from a time where before I could just read a book, a big book, you know, throw some protocols in and probably block a bunch of ports to the world that we live in today, where everything is connected. Everything is API driven, everything is software defined. You've got pieces of workloads spread out all over the place and Oh, by the way, you need to bake security in at every single level of the application stack. >>Yeah, no, I'm so, wow. The kudos that you, you found that book I'm really impressed. There was a thank you a little street, correct. So I want to hit on something that you, you talked about. Cause I think it's very important to, to this overall conversation. If we think about the scale of the network and Coon hit on it briefly, you talked about it as well. We're seeing a massive explosion of devices by the estimated by the end of this year, there's going to be about 27 billion devices on the global internet. That's about 3.7 devices for every man, woman and child life. And if we extrapolate that out over the course of the next decade on the growth trajectory we're on. And if you look at some of the published research on this, it's estimated there could be upwards of 500 billion devices accessing the global internet on a, on a daily basis in the primarily that, that, that is a IOT devices, that's digitally connected devices. >>Anything that can be connected will be connected, but then introduces a really interesting security challenge because every one of those devices that is accessing the global internet is within a company's infrastructure or accessing pieces of corporate data is a potential attack factor. So we really need to, and I think the right expression for this is we need to reimagine security because security is, as you said, not about parameters. You know, I wrote that book back in 2002, I was talking about firewalls and a cutting edge technology was intrusion prevention and intrusion detection. Now we need to look at security really in the, in the guys up or under the, under the, under the realm of really two aspects, the identity who is accessing the data and the context, what data is being accessed. And that is going to require a level of intelligence, a level of automation and the technologies like machine learning and automated intelligence are going to be our artificial intelligence rather are going to be table stakes because of the sheer scale of what we're trying to secure is going to be untenable under current, you know, just current security practices. I mean, the network is going to have to be incredibly intelligent and leverage again, a lot of that, uh, that AI type of data to match patterns of potential attacks and ideally shut them down before they ever cause any type of damage. >>Yeah, it's really interesting. I mean, one thing that COVID has done a bunk many things is kind of retaught us all about the power of exponential curves and how extremely large those things are and how fast they grow. We at Dave runs it on a Google cloud a couple of years ago. And I remember him talking about early days at Google when they were starting to map out kind of, as you described kind of map out their growth curves, and they just figured out they could not hire if they hired everybody, they couldn't hire enough people to deal with it. Right. So really kind of rethinking automation and rethinking about the way that you manage these things and the level, right. The old, is it a pet or is it, or is it, um, uh, part of a herd and, and I think it's interesting what you talked about, uh, con really the human powered internet and being driven by a lot of this video, but to what you just said, Eric, the next big wave, right. >>Is IOT and five G. And I think, you know, you talk about 3.7 million devices per person. That's nothing compared to right. All these sensors and all these devices and all these factories, because five G is really targeted to machine the machines, which there's a lot of them and they trade a lot of information really, really quickly. So, you know, I want to go back to you Coon thinking about this next great wave in a five G IOT kind of driven world where it's kind of like when voice kind of fell off compared to IP traffic on the network. I think you're going to see the same thing, kind of human generated data relative to machine generated data is also going to fall off dramatically as a machine generated data just skyrocket through the roof. >>Yeah, no, absolutely. And I think too, also what Eric touched on the visibility on that, and they've been able to process that data at the edge. That's going to catalyze cloud adoption even further, and it's going to, you know, make the role of the network, the connectivity of it all and the security within that crucially important. And then you look at the role of programmability within that. We're seeing the evolution going so fast. You look at the element of the software defined network in an IOT speed space. We see that we have a host Sarah that are not necessarily, um, you know, behaving like other hosts would, uh, on a network, for example, manufacturing floor, uh, production robot, or a security camera. And what we're seeing is we're seeing, you know, partners and customers employing programmability to make sure that we overcome some of the shortcomings, uh, in terms of where the network is at, but then how do you customize it in terms of the relevance that can provide, >>Um, bringing on board those, uh, those hosts in a very transparent way, and then, you know, keep, keep the agility of it and keep the speed of innovation going. >>So, Eric, I want to come back to you and shift gears kind of back to the people will leave the IOT in the machines along, along for a minute, but I'm curious about what does beat the boss. I mean, I go to your LinkedIn profile and it's just filled with congratulatory statements, but everyone's talking about beating the boss. You know, it's, it's a really, you know, kind of interesting and different way to, to motivate people, to build this new skillset in terms of getting software certifications, uh, within the Cisco world. And I just thought it was really cute the way that you, uh, clearly got people motivated, cause there's posts all over the place and they've all got their, their nice big badge or their certification, but, you know, at a higher level, it is a different motivation to be a developer versus an you're an a technician. And it's kind of a different point of view. And I just wonder if you could share, you know, some of the ways that you're, you're kind of encouraging, you know, kind of this transformation within your own workforce, as well as the partners, et cetera, and really adopting kind of almost a software first and this program kind of point of view versus, you know, I'm just wiring stuff up. >>Apparently a lot of people like to beat me. So I mean, not itself was a, was a, a, it was a great success, but you know, if we think we take a step back, you know, what is Cisco about as an organization? Um, I mean, obviously he looked back to the very early days of our vision, right? It was, it was to change the way the world worked, played, live and learn. And that you think about, and you hit on this when we were, you know, we were discussion with co with Kuhn in the early days of COVID. We really saw that play out as so much shifted from, you know, in-person type of interactions to virtual interactions in the network that, uh, that our, our customers, our partners, our employees built over the course of the last several years, the last three decades really helped the world continue to, um, to, to do business for students to continue to go to school or clinicians, to connect with patients. >>If I think about that mission to me, programmability is just the next iteration of that mission, continuing to enable the world to communicate, continuing, to enable customers, employees, uh, partners, uh, to essentially leverage the network for more than just connectivity now to leverage it for critical insight. Again, if we look at some of the, uh, some of the use cases that we're seeing for social distancing and contact tracing and network has a really important place to play there because we can pull insight from it, but it isn't necessarily an out of the box type of integration. So I look at programmability and in what we're doing with, with dev net to give relevance to the network for those types of really critical conversations that every organization is having right now, it's a way to extrapolate. It's a way to pull critical data so that I can make a decision. >>And if that is automated, or if that decision requires some type of manual intervention, regardless, we're still about connecting. And in this case, we're connecting insight with the people who need it most, right. The debit challenge we ran is really in respect for how critical this new skill set is going to be. It's not enough, like I said, just to connect the world anymore. We need to leverage that network, the network for that critical insight. And when we drove, we were, we created the beat, the boss challenge. It was really simple. Hey guys, I think this is important and I am going to go out and I'm going to achieve the certification myself, because I don't want to continue to be very relevant. I want to continue to be able to provide that insight for my customers and partners. So therefore I'm going for anybody that can get there before me. Maybe there's a little incentive tied to it and the incentive, although it's funny, we interviewed a lot of, a lot of our team who, who achieved it when incentive was secondary, they just wanted to have the bragging rights, like yeah, I beat Eric. Right? >>Right. Absolutely. No, it's a, it's it, you know, putting your money where your mouth is, right. If it's important, then why you should do it too. And, and you know, the whole, you're not asking people to do what you wouldn't do yourself. So I think there's a lot of good leadership, uh, leadership lessons there as well, but I want to extend kind of the conversation on the covert impact, right? Cause I'm sure you've seen all the social media means, you know, who's driving your digital transformation, the CEO, the CMO or COVID. And we all know the answer to the question, but you know, you guys have already been dealing with kind of an increased complexity around enterprise infrastructure world in terms of cloud and public cloud and hybrid cloud and multi cloud. And people are trying to move stuff all the way around now suddenly had this COVID moment right in, in March, which is really a light switch moment. >>People didn't have time to plan or prepare for suddenly everybody working from home. And it's not only you, but your spouse and your kids and everybody else. So I, but now we're six months plus into this thing. And I would just love to get your perspective and kind of the change from, Oh my goodness, we have to react to the light switch moment. What do we do to make sure people can, can get, get what they need when they need it from where they are a bubble, but then really moving from this is a, an emergency situation, a stop gap situation to, Hmm, this is going to extend for some period of time. And even when it's the acute crisis is over, you know, this is going to drive a real change in the way that people communicate in the way that people, where they sit and do their jobs and, and kind of how customers are responding accordingly as the, you know, kind of the narrative has changed from an emergency stop gap to this is the new normal that we really need to plan for. >>So, uh, I think, I think you said it very well. I think anything that could be digitized, any, any interaction that could be driven virtually was, and what's interesting is we, as you said, we went from that light switch moment where I, and I believe the status, this, and I'll probably get number wrong, but like in the United States here at the beginning, at the end of February, about 2% of the knowledge worker population was virtual, you know, working from home or in a, in a remote work environment. And over the course of about 11 days, that number went from 2% to 70%. Wow. Interesting that it worked, you know, there was a lot of hiccups along the way, and there was a lot of organizations making really quick decisions on how do I enable VPN scale of mass? How do I leverage, uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, much faster now that as you said, that we kind of gotten out of the fog of, of, of war for our fog of battle organizations are looking at what they accomplished. >>And it was nothing short of Herculean and looking at this now from a transition to, Oh my gosh, we need to change too. We have an opportunity to change. And we're looking, we see a lot of organizations specifically around, uh, financial services, healthcare, uh, the, uh, the K through 20, uh, educational environment, all looking at how can they do more virtually for a couple of reasons. Obviously there is a significant safety factor. And again, we're still in that we're still on the height of this pandemic. They want to make sure their employees, their customers, students, patients remain safe. But second, um, we've found in, in discussions with a lot of senior it executives that our customers, that people are happier working from home, people are more productive working from home. And that, again, the network that's been built over the course of the last few decades has been resilient enough to allow that to happen. >>And then third, there is a potential cost savings here outside of people. The next most expensive resource that organizations are paying for is real estate. If they can shrink that real estate footprint while providing a better user experience at the locations that they're maintaining, again, leveraging things like location services, leveraging things like a unified collaboration. That's very personalized to the end user's experience. They're going to do that. And again, they're going to save money. They're going to have happier employees and ultimately they're going to make their, uh, their employees and their customers a lot safer. So we see, we believe that there is in some parts of the economy, a shift that is going to be more permanent and some estimates put it as high as 15% of the current workforce is going to stay in there in a virtual or a semi virtual working environment for the foreseeable future. >>And I, and I, and I would say, I'd say 15% is low, especially if you, if you qualify it with, you know, part time, right. I, there was a great interview we were doing and talking about working from home, we used to work from home as the exception, right? Cause the cable person was coming, are you getting a new washing machine or something where now that's probably getting, you know, in many cases we'll shift to the other where I'm generally gonna work from home unless, you know, somebody is in town or having an important meeting or there's some special collaboration that drives me to be in. But you know, I want to go back to you Kuhn and, and really doubled down on, you know, I think most people spent too much time focusing, especially, we'll just say within the virtual events base where we play on the things you can't do virtually, we can't meet in the hall. >>We can't grab a quick coffee and a drink instead of focusing on the positive things like we're accomplishing right here, you're in Belgium, right. Eric is in Ohio, we're in California. Um, and you know, we didn't take three days to, to travel and, and check into a hotel and all that stuff to get together, uh, for this period of time. So there's a lot of stuff that digital enables. And I think, you know, people need to focus more on that versus continuing to focus on the two or three things that, that it doesn't replace and it doesn't replace those. So let's just get that off the table and move on with our lives. Cause those aren't coming back anytime soon. >>No, totally. I think it's the balance of those things. It's guarding the fact that you're not necessarily working for home. I think the trick there is you could be sleeping at the office, but I think the positives are way, way more outspoken. Um, I, you know, I look at myself, I got much more exercise time in these last couple of months than I usually do because you don't travel. You don't have the jet lag and the connection. And then you talked about those face to face moments. I think a lot of people are in a way, um, wanting to go back to the office part time as, as Eric also explained. But a lot of it you can do virtually we have virtual coffees with team or, you know, even here in Belgium, our, our local general manager has a virtual effort. TIF every Friday obviously skipped the one this week. But, uh, you know, there's, there's ways to be very creative with the technology and the quality of the technology that the network enables, um, you know, to, to get the best of both worlds. Right? >>So I just, we're going to wrap the segment. I want to give you guys both the last word you both been at Cisco for a while and, you know, Susie, we, and the team on dev net has really grown this thing. I think we were there at the very beginning couple of four, five, six years ago. I can't keep track of time anymore, but you know, it's really, really grown and, you know, the timing is terrific to get into this more software defined world, which is where we are. I wonder if you could just, you know, kind of share a couple thoughts as you know, with a little bit of perspective and you know, what you're excited about today and kind of what you see coming down the road since you guys have been there for a while you've been in this space, uh, let's start with Yukon. >>I think the possibility it creates, I think really programmability software defined is really about the art of the possible it's what you can dream up and then go code. Um, uh, Eric talked about the relevance of it and how it maximizes that relevance on a customer basis. Um, you know, and then it is the evolution of, of the teams in terms of the creativity that they can bring to it. Uh, we're seeing really people dive into that and customers, um, co-creating with us. And I think that's where we're going in terms of like the evolution of the value proposition there in terms of what technology >>Can provide, but also how it impacts people. Has it been discussed and redefines process? >>I love that the art of the possible, which is a lot harder to execute in a, in hardware than software certainly takes a lot longer. I'd love to get your, uh, your thoughts. >>Absolutely. So I started my career at Cisco, uh, turning, uh, putting IP phones onto the network. And back then, you know, it was, you know, 2001, 2002, when, uh, the idea of putting telephones onto the network was such a, um, just such an objectionable idea. And so many purists were telling us all the reasons it wouldn't work. Now, if we go forward again, 19 years, the idea of not having them plugging into the network is a ridiculous idea. So we have a, we're looking at an inflection point in this industry, and it's really, it's not about programming. It's not necessarily about programming. It's about doing it smarter. It's about being more efficient. It's about driving automation, but again, it is, it's about unlocking the value of what the network is. We've moved so far past. What can, you know, just connectivity, the network touches everything and it's more workload moves to the cloud is more workload moves to things like containers. >>Um, the network is the really, the only common element that ties all of these things together. The network needs to take its rightful place, uh, in the end, the, it lexicon as being that critical or that poor critical insight provider, um, for, for how users are interacting with the network, how users are interacting with applications, how applications are interacting with them in another program, ability is a way to do that more efficiently, uh, with greater a greater degree of certainty with much greater relevance into the overall delivery of it services and digitization. So to me, I think we're going to look back 20 years from now, probably even 10 and say, man, we used to configure things manually. What was that like? And I think, I think really this is, this is the future. And I think we want to be aligned with where we're going versus where we've been. >>All right. Well, Coon, Eric, thank you for, for sharing your perspective. You know, it's, it's really nice to have, you know, some historical reference, uh, and it's also nice to be living in a new age where you can, you can, you know, stay at the same company and, and still refresh, you know, new challenges, new opportunities and grow this thing. Cause as you said, I remember those IP first IP phone days and I thought, well, mob bell must be happy because the old mother's day problem is finally solved when we don't have to have a dedicated connection between every mother and every child in the middle of may. So good news. So thank you very much for sharing your, uh, your insights and really, uh, really enjoyed the >>Thank you. >>We've been covering dev net create for a number of years. I think since the very first show and Susie, we and the team really built a practice, built a company, built a lot of momentum around software in the Cisco ecosystem and in getting devs really to start to build applications and drive kind of the whole software defined networking thing forward. And a big part of that is partners and working with partners and, and developing solutions and, you know, using brain power, that's outside of the four walls of Cisco. So we're excited to have, uh, our next guest, uh, a partner for someone is Brad Hoss. He is the engineering director for dev ops at Presidio, Brad. Great to see you. >>Hey Jeff, great to be here. >>Absolutely. And joining him is Chuck Stickney. Chuck is the business development architect for Cisco dev net partners. And he has been driving a whole lot of partner activity for a very long period of time. Chuck, great to see you. >>Thanks Jeff. Great to be here and looking forward to this conversation. >>Absolutely. So let's, let's start with you Chuck, because I think, um, you know, you're leading this kind of partner effort and, and you know, software defined, networking has been talked about for a long time and you know, it's really seems to be maturing and, and software defined everything right. Has been taking over, especially with, with virtualization and moving the flexibility and the customer program ability customability in software and Mo and taking some of that off the hardware. Talk about, you know, the programs that you guys are putting together and how important it is to have partners to kind of move this whole thing forward, versus just worrying about people that have Cisco badges. >>Yeah, Jeff, absolutely. So along this whole journey of dev net where we're, we're trying to leverage that customization and innovation built on top of our Cisco platforms, most of Cisco's businesses transacted through partners. And what we hear from our customers and our partners is they want to, our customers want to way to be able to identify, does this partner have the capabilities and the skills necessary to help me go down this automation journey I'm trying to do, do a new implementation. I want to automate that. How can I find a partner to, to get there? And then we have some of our partners that have been building these practices going along the step in that journey with us for the last six years, they really want to say, Hey, how can I differentiate myself against my competitors and give an edge to my customers to show them that, yes, I have these capabilities. I've built a business practice. I have technology, I have technologists that really understand this capability and they have the net certifications to prove it, help me be able to differentiate myself throughout our ecosystem. So that's really what our Danette partner specialization is all about. >>Right. That's great. And Brad, you're certainly one of those partners and I want to get your perspective because partners are oftentimes a little bit closer to the customer cause you've got your kind of own set of customers that you're building solutions and just reflect on, we know what happened, uh, back in March 15th, when basically everybody was told to go home and you can't go to work. So, you know, there's all the memes and social media about who, you know, who pushed forward your digital transformation, the CEO, the CMO or COVID. And we all know what the answer is, whatever you can share some information as to what happened then, and really for your business and your customers, and then reflect now we're six months into it months plus, and, and you know, this new normal is going to continue for a while. How's the customer attitudes kind of changed now that they're kind of buckled down past the light switch moment and really we need to put in place some foundation to carry forward for a very long time potentially. >>Yeah, it's really quite interesting actually, you know, when code first hit, we got a lot of requests to help with automation of provisioning our customers and in the whole digital transformation got really put on hold for a little bit there and I'd say it became more of, of the workplace transformation. So we were quickly, uh, you know, migrating customers to, you know, new typologies where instead of the, the, you know, users sitting in those offices, they were sitting at home and we had to get them connected rapidly in a, we have a lot of success there in those beginning months with, you know, using automation and programmability, um, building, you know, provisioning portals for our customers to get up and running really fast. Um, and that, that, that was what it looked like in those early days. And then over time, I'd say that's the asks from our customers has started to transition a little bit. >>You know, now they're asking, you know, how can I take advantage of the technology to, you know, look at my offices in a different way, you know, for example, you know, how many people are coming in and out of those locations, you know, what's the usage of my conference rooms. Um, are there, uh, are there, um, situations where I can use that information? Like how many people are in the building and at a certain point in time and make real estate decisions on that, you know, like, do I even need this office anymore? So, so the conversations have really changed in ways that you couldn't have imagined before March. Right. >>And I wonder with, with you Chuck, in terms of the Cisco point of view, I mean, the network is amazing. It had had, COVID struck five years ago, 10 years ago, 15 years ago, you know, clearly there's a lot of industries that are suffering badly entertainment, um, restaurant, business, transportation, they, you know, hospitality, but for those of us in kind of the information industry, the switch was pretty easy. Um, you know, and, and the network enables the whole thing. And so I wonder if, you know, kind of from your perspective as, as suddenly, you know, the importance of the network, the importance of security and the ability now to move to this new normal very quickly from a networking perspective. And then on top of that, having, you know, dev net with, with the software defined on top, you guys were pretty much in a good space as good as space as you could be given this new challenge thrown at you. >>Yeah, Jeff, we completely agree with that. A new Cisco has pushed the idea that the network is transformational. The network is the foundation, and as our customers have really adopted that message, it is enabled that idea for the knowledge workers to be able to continue on. So for myself, I've, I've worked for home the entire time I've been at Cisco. So the last 13 years, this is, you know, the, the change to the normalcy is I never get on a plane anymore, but my day to day functions are still the same. And it's built because of the capabilities we have with the network. I think the transition that we've seen in the industry, as far as kind of moving to that application type of economy, as we go to microservices, as we go to a higher dependency upon cloud, those things have really enabled the world really to be able to better respond to this, to this COVID situation. And I think it's helped to, to justify the investments that's that our customers have made as well as what our partners have been, being able to do to deliver on that multicloud capability, to take those applications, get them closer to the end user instead of sitting in a common data center and then making it more applicable to, to users wherever they may be, not just inside of that traditional form. >>Right. Right. It's interesting that Brad, you, you made a comment on another interview. I was watching getting ready for this one in terms of, uh, applications now being first class citizens was, was what you said. And it's kind of interesting coming from an infrastructure point of view, where before it was, you know, what do I have and what can I build on it now really it's the infrastructure that responds back to the application. And even though you guys are both in the business of, of networking and infrastructure, it's still this recognition that apps first is the way to go, because that gives people the competitive advantage that it gives them the ability to react in the marketplace and to innovate and move faster. So, you know, it's, it's a really interesting twist to be able to support an application first, by having a software defined in a more programmable infrastructure stack. >>Yeah, no doubt. And, you know, I think that the whole push to cloud was really interesting in the early days, it was like, Hey, we're going to change our applications to be cloud first. You know? And then I think the terminology changed over time, um, to more cloud native. So when we, when we look at what cloud has done over the past five years with customers moving, you know, their, their assets into the cloud in the early days that we were all looking at it just like another data center, but what it's really become is a place to host your applications. So when we talk about cloud migrations with our customers now, we're, we're no longer talking about, you know, the assets per se, we're talking about the applications and what did those applications look like? And even what defines an application right now, especially with the whole move to cloud native and microservices in the automation that helps make that all happen with infrastructure as code. >>You're now able to bundle the infrastructure with those applications together as a single unit. So when you define that application, as infrastructure, as code the application in this definition of what those software assets for the infrastructure are, all are wrapped together and you've got change control, version control, um, and it's all automated, you know, it's, it's a beautiful thing. And I think it's something that we've all kind of hoped would happen. You know, in, when I look back at the early definitions of software defined networking, I think everybody was trying to figure it out and they didn't really fully understand what that meant now that we can actually define what that network infrastructure could look like as it's, as it's wrapped around that application in a code template, maybe that's Terraform or Ansible, whatever that might be, whatever method or tool that you're using to bring it all together. It's, you know, it's really interesting now, I think, I think we've gotten to the point where it's starting to make a lot more sense than, you know, those early days of SDN, uh we're out, you know, it was, was it a controller or is it a new version of SNMP? You know, now it makes sense it's actually something tangible. >>Right, right. But still check, as you said, right. There's still a lot of API APIs and there's still a lot of component pieces to these applications that are all run off the network that all have to fit, uh, that had to fit together. You know, we cover PagerDuty summit and you know, their whole thing is trying to find out where the, where the problems are within the very few microseconds that you have before the customer abandons their shopping cart or whatever the particular application. So again, the network infrastructure and the program ability super important. But I wonder if you could speak to the automation because there's just too much stuff going on for individual people to keep track of and they shouldn't be keeping track of it because they need to be focusing on the important stuff, not this increasing amount of bandwidth and traffic going through the network. >>Yeah, absolutely. Jeff said the bandwidth that's necessary in order to support everybody working from home to support this video conference. I mean, we used to do this sitting face to face. Now we're doing this over the internet. The amount of people necessary to, to be able to facilitate that type of traffic. If we're doing it the way we did 10 years ago, we would not scale it's automation. That makes that possible. That allows us to look higher up the ability to do that. Automatic provisional provisioning. Now that we're in microservices now, everything is cloud native. We have the ability to, to better, to better adjust, to and adapt to changes that happen with the infrastructure below hand. So if something goes wrong, we can very quickly spend something ups to take that load off where traditionally it was open up a ticket. Let me get someone in there, let me fix it. >>Now it's instantaneously identify the solution, go to my playbook, figure out exactly what solution I need to deploy and put that out there. And the network engineering team, the infrastructure engineering team, they just simply need to get notified that this happened. And as long as there's traceability and a point that Brad made, as far as you being able to go through here doing the automation of the documentation side of it. I know when I was a network engineer, one of the last things we ever did was documentation. But now that we have the API is from the infrastructure. And then the ability to tie that into other systems like an IP address management or a change control, or a trouble ticketing system, that whole idea of I made an infrastructure change. And now I can automatically do that documentation update and record. I know who did it. I know when they did it and I know what they did, and I know what the test results were even five years ago, that was fantasy land. Now, today that's just the new normal, that's just how we all operate. Right. >>Right, right. So I want to get your take on the other side, >>Cloud multicloud >>Public cloud, you know, as, as I think you said Brad, when public cloud first came out, there was kind of this, this rush into, we're going to throw everything in there then for, for, for different reasons. People decided maybe that's not the best, the best solution, but really it's horses for courses. Right. And, and I think it was pretty interesting that, that you guys are all supporting the customers that are trying to figure out where they're going to put their workloads. And Oh, by the way, that might not be a static place, right. It might be moving around based on, you know, maybe I do my initial dev and, and, and Amazon. And then when I go into production, maybe I want to move it into my data center and then maybe I'm having a big promotion or something I want to flex capability. So from, from your perspective in helping customers work through this, cause still there's a lot of opinions about what is multicloud, what is hybrid cloud and you know, it's horses for courses, how are you helping people navigate that? And what does having programmable infrastructure enable you to do for helping customers kind of sort through, you know, everybody talks about their journey. I think there's still, you know, kind of bumbling down, bumbling down paths, trying to find new things, what works, what doesn't work. And I think it's still really early days and trying to mesh all this stuff together. Yeah, >>Yeah. No doubt. It is still early days. And you know, I, I, I go back to it being application centric because, you know, being able to understand that application, when you move to the cloud, it may not look like what it used to look like when you, when you move it over there, you may be breaking parts off of it. Some of them might be running on a platform as a service while other pieces of it are running as infrastructure as service. And some of it might still be in your data center. Those applications are becoming much more complex than they used to be because we're breaking them apart into different services. Those services could live all over the place. So with automation, we really gain the power of being able to combine those things. As I mentioned earlier, those resources, wherever they are and be defined in that infrastructure as code and automation. >>But you know, aside from, I think we focus a lot about provisioning. When we talk about automation, we also have these amazing capabilities on, on the side of, uh, operations too. Like we've got streaming telemetry, and the ability to gain insights into what's going on in ways that we didn't have before, or at least in the, in, you know, in the early days of monitoring software, right? You knew exactly what that device was, where it was. It probably had a friendly name, like maybe it was, uh, something from the Hobbit right now. You've got things coming up and spinning and spinning up and spinning down, moving all over the place. In that thing. You used to know what that was. Now you have to quickly figure out where it went. So the observability factor is a huge thing that I think everybody, um, should be paying attention to attention, to moving forward with regards to when you're moving things to the cloud or even to other data centers or, you know, in your premise, I'm breaking that into microservices. >>You really need to understand what's going on. And the, you know, programmability and API APIs and, you know, yang models are tied into streaming telemetry. Now there's just so many great things coming out of this, you know, and it's all like a data structure that, that people who are going down this path and the dev net path there, they're learning these data structures and being able to rationalize and make sense of that. And once you understand that, then all of these things come together, whether it's cloud or a router or switch, um, Amazon, you know, it doesn't matter. You're on, you're all speaking a common language, which is that data structure. >>That's great. Chuck, I want to shift gears a little bit. Cause there was something that you said in another interview when I was getting ready for this one about, about in a dev net, really opening up a whole different class of partners for Cisco, um, as, as really more of a software, a software lead versus kind of the traditional networking lead. I wonder if you can put a little more color on that. Um, because clearly as you said, partners are super important. It's your primary go to market and, and Presidios, I'm sure the best partner that you have in the whole world that's and you know, you said there's some, there's some, you know, non traditional people that would not ever be a Cisco partner that suddenly you guys are playing with because of really the software lead. >>Yeah. Jeff that's exactly right. So as we've been talking to folks with dev nets and whether it'd be at one of the Cisco live events in the dev net zone or the prior dev net create events, we'll have, we'll have people come up to us who Cisco today views as a, as a customer because they're not in our partner ecosystem. They want to be able to deliver these capabilities to our customers, but they have no interest in being in the resell market. This what we're doing with the doublet that gives us the ability to bring those partners into the ecosystem, share them with our extremely large dev net community so they can get access to those, to those potential customers. But also it allows us to do partner to partner type of integration. So Brad and Presidio, they built a fantastic networking. They always have the fantastic networking business, but they've built this fantastic automation business that's there, but they may come into, into a scenario where it's working with a vertical or working with the technology case that they may not have an automation practice for. >>We can leverage some of these software specific partners to come in there and do a joint, go to markets where, so they can go where that traditional channel partner can leverage their deep Cisco knowledge in those customer relationships that they have and bring in that software partner almost as a subcontractor to help them deliver that additional business value on top of that traditional stack, that brings us to this business outcomes that the customers are looking for and a much faster fashion and a much more collaborative fashion. That's terrific. Well, again, it's a, it's, it's unfortunate that we can't be in person. I mean, the, the Cisco dev net shows, you know, they're still small, they're still intimate. There's still a lot of, uh, information sharing and, you know, great to see you. And like I said, we've been at the computer museum, I think the last couple of years and in, in San Francisco. So I look forward to a time that we can actually be together, uh, maybe, maybe for next year's event, but, uh, thank you very much for stopping by and sharing the information. Really appreciate it. Happy to be here from around the globe. It's the cube presenting, accelerating automation with Devin brought to you by Cisco. >>When I'm Sean for the cube, your host for accelerating automation with dev net, with Cisco, and we're here to close out the virtual event with Mindy Whaley, senior director, Mandy, take it away. >>Thank you, John. It's been great to be here at this virtual event and hearing all these different automation stories from our different technology groups, from customers and partners. And what I'd like to take a minute now is to let people know how they can continue this experience at DevNet create, which is our free virtual event happening globally. On October 13th, there's going to be some really fun stuff. We're going to have our annual demo jam, which is kind of like an open mic for demos, where the community gets to show what they've been building. We're also going to be, um, giving out and recognizing our dev net creator award winners for this year, which is a really great time where we recognize our community contributors who have been giving back to the community throughout the year. And then we find really interesting channels. We have our creators channels, which is full of technical talks, lightening talks. >>This is where our community, external Cisco people come in share what they've been working on, what they've been working learning during the year. We also have a channel called API action, which is where you can go deep into, you know, IOT or collaboration or data center automation and get demos talks from engineers on how to do certain use cases. And also a new segment called street from engineering, where you get to hear from the engineers, building those products as well. And we have a start now for those people just getting started, who may need to dive into some basics around coding, API APIs and get that's a whole channel dedicated to getting them started so that they can start to participate in some of the fun challenges that we're going to have during the event. And we're going to have a few fun things. Like we have some definite advocate team members who are awesome, musically talented. They're going to share some performances with us. So, um, we encourage everyone to join us there. Pick your favorite channel, uh, join us in whichever time zone you live in. Cause we'll be in three different time zones. And, um, we would love for you to be there and to hear from you during the event. Thanks so much. >>That's awesome. Very innovative, multiple time zones, accelerating automation with dev net. Thank you so much for watching and we'll see you at dev net create thanks for watching.
SUMMARY :
accelerating automation with damnit brought to you by Cisco. automation with dev net, because you said to me, I think four years ago, I mean, what we know is that as more and more businesses are And in order to do that, you know, the whole new tool that we've always talked about you know, not to get in the weeds, but you know, switches and hubs and wireless. kind of, you know, just, you know, blocked off rooms to really be secure And they had to, because you couldn't just go into a server room and tweak your servers, So those things, again, all dev ops and, you know, have you guys got some acquisitions, And, um, you know, going back to Todd Nightingale, right. you know, looking for those events, the dashboards, you know, so it really has, Cause you know, you got to go, but real quick, um, describe what accelerating automation with dev net It's also about people rising to the level of, you know, Thank you for your time. Thank you so much. Can you give us the update on starting to look at, you know, things like DevSecOps engineer, network, Eric, I want to go to you for a quick second on this, um, um, piece of getting the certifications. So, you know, as opposed to in person where you know, helping you answer questions, helping provide content. the stack as modern applications are building, do you see any patterns or trends around what is parameters that it departments might care about, about their firewalls, things that you do normally look at me out, okay, now I can take that and I can adapt it to what I need to see for my observability. And nonlinearly you got the certifications, which is great. who want to be able to, you know, dive into a topic, do a hands on lab, you know, read the instructions, read the manual, do the deeper learning. you know, end to end programmability and with everything as a service that you guys are doing everything with API with you at every Devin event over the past years, you know, damnit is bringing APIs across our action going on in cloud native right now, your thoughts? So, whereas it used to be, you know, confined by the walls that we were within for the event. So I think together seeing all of that and then bringing the community together Thanks so much. um, you know, we're so excited to see the people joining from all the different regions and, And we'll, we'll, we'll ride the wave with you guys. Thank you so much. Thank you so much for watching and we'll see you at dev net create thanks for watching. And Jeffrey, The cube coming to you from our Palo Alto studio with ongoing coverage of the Cisco dev data van, Hey, good to see you too. you know, especially like back in March and April with this light switch moment, which was, you know, no time to prep and suddenly Hey, I do think we all appreciate the network And you know, it, 2000 East to West, You know, it's, it's amazing to think, you know, had this happened, you know, but as I said, resiliency just became so much more important than, you know, you know, kind of how the market is changing, how you guys are reacting and really putting the things in place to you know, most people call hybrid cloud or multi-cloud, uh, in, in the end, what it is, And so really what you want to put in place is what we call like the cloud on ramp, thing, you know, as the, as we know, and we hear all the time, you know, the flows of data, the complexity of the data, And I said the tech line, I have, you know, sometimes when my mind is really going Some just, you know, I use these API APIs and use NoMo And it's funny, we, we recently covered, you know, PagerDuty and, and they highlight what And what traditional, you have a request network, operation teams executes the request Or do you say, Hey, maybe some of these security things I got to hand over the sec ups team, you know, the actual things that you do to execute that technique. None of those is really actually, you know, a little bit of credit, maybe some of us where we have a vision, Uh, and so that is emotion where in for all the, you know, Now don't have to wait for, you know, the one network person to help them out out of these environments. Uh, and that just drives then what tools do you want to have available to actually Then they have the ability to react to, uh, to some of these requirements. And that's really in the enticing, They just want to, you know, deliver business benefit to their customers and respond to, uh, network provides something and you use to, uh, this is what I want to do. Well, it's good times for you because I'm sure you've seen all the memes and in social media, know, the best races you can have. Lots of information is kind of, it's still kind of that early vibe, you know, where everyone is still really enthusiastic I mean, we were, you know, we, we, it was in the back of our minds in January, And like I said, you know, um, remote expect that to at least double that 16%, you know, Um, and they're doing it in ways, hopefully that, you know, in some cases, And, and essentially the way you describe it, as you know, your job as a security And so the question is, you know, how, how do we up our game there so that we I want to ask you about automation generally, and then specifically how it applies to security. I mean that for, for businesses, I mean that for, you know, education and everything else the, the bad guys, the adversaries are essentially, you know, weaponizing using your own Well, there's, they're clever, uh, give them that, um, you know, uh, GDP, but guys, I wonder if you could bring up the chart because when you talk to CSOs and you ask And so you can see on the horizontal axis, you've got, you know, big presence in the data set. Um, that's the frustration customers have, you know, I'm safe, but you know, of course we know it's a shared responsibility model. I think cloud, um, when you look at the services that are delivered via the cloud, out, you know, that developer angle, because it's practical do, you're not trying to force your way into for, um, you know, doing all the machine scale stuff. It's good from the standpoint of awareness, you know, you may or may not care if you're a social media user. I saw, um, but I do think it also, you know, with that level of awareness, you know, society has to really, really take this on as your premise. front of the room and said, you know, all you techies, you judge efficiency by how long it takes. for having taken so long, you know, to make certain decisions, but, you know, again, you know, all of these security tools, no matter how fancy it is, You know, the, you know, And it's so familiar to me because, you know, um, I, you know, of silo busters. So I really appreciate the time you spend on the cube. You have the keys to the kingdom, you know, their, their walls outside of the Cisco network operators, network engineers. And I think, you know, that change alone really kind of amplified. At the same time, you got a ton of modern apps running for these networks. And you think that how they're getting to that application, to be able to see, to gain that visibility, that experience, you know, to measure it and understand, It's funny, you know, as you get into some of these high-scale environments, a lot of these concepts are converging. But what we talk about right inside, you know, data, um, alone, doesn't solve that problem. to process that data very quickly, allow you to be able to see the unseen, Because, um, you know, most it, people are like, runs on a local, a user's laptop or machine in their home to help you to to see, unless you have the ability to see comprehensively from the user Can you give some examples there? And where do you need to focus your attention? So if I'm an it person I'm in the trenches, are you guys have, And so by leveraging thousand eyes on a continuous basis, it gives you that ability to see And then furthermore, you can be begin to use that as you mentioned, in terms of your vitamin type of an analogy, You got handle the baseline as you pointed out, and the upside music experience connectivity, And automation plays a key role of allowing you to be able to then put that through your workflow. you know, data and automation allows you to be able to do what is fundamentally difficult to do from a very narrow you know, you guys got that. And I think what I would say is, you know, We've been following you guys for a long time and a You really have to automate you human labor. I saw an old presentation that you were giving from 2006 And the only time you hear about them as the women, the flag gets thrown. I think, you know, what you're referring to was back in the day, the human network campaign, a company is completely shifting gears over to the, you know, really software defined side. And that is just, you know, quite, quite significant in, a book, a big book, you know, throw some protocols in and probably block a bunch of ports to And if you look at some of the published research going to be untenable under current, you know, just current security practices. And I remember him talking about early days at Google when they were starting to map out kind of, as you described kind of map out their Is IOT and five G. And I think, you know, you talk about 3.7 million devices And what we're seeing is we're seeing, you know, partners and customers employing and then, you know, keep, keep the agility of it and keep the speed of innovation going. And I just wonder if you could share, you know, some of the ways that you're, you're kind of encouraging, And that you think about, and you hit on this when we were, of that mission, continuing to enable the world to communicate, continuing, and I am going to go out and I'm going to achieve the certification myself, because I don't want to continue to And we all know the answer to the question, but you know, you guys have already been dealing with kind of an increased complexity it's the acute crisis is over, you know, this is going to drive a real change uh, you know, things like WebEx for virtual meetings and virtual connectivity, uh, And that, again, the network that's been built over the course of the last few decades has been And again, they're going to save money. the other where I'm generally gonna work from home unless, you know, somebody is in town or having an important meeting or there's some special Um, and you know, we didn't take three days to, But, uh, you know, really grown and, you know, the timing is terrific to get into this more software defined world, art of the possible it's what you can dream up and then go code. Has it been discussed and redefines process? I love that the art of the possible, which is a lot harder to execute in a, in hardware than software And back then, you know, it was, you know, 2001, 2002, And I think we want to be aligned with where we're going it's really nice to have, you know, some historical reference, uh, and it's also nice to be you know, using brain power, that's outside of the four walls of Cisco. Chuck is the business development architect for Talk about, you know, the programs that you guys are putting together and how important it is to have partners to kind and the skills necessary to help me go down this automation journey I'm trying to do, And we all know what the answer is, whatever you can share some information as to what happened then, So we were quickly, uh, you know, migrating customers to, You know, now they're asking, you know, how can I take advantage of the technology to, And then on top of that, having, you know, dev net with, So the last 13 years, this is, you know, the, the change to the normalcy is I And even though you guys are both in the business of, of networking and infrastructure, it's still this recognition now, we're, we're no longer talking about, you know, the assets per se, those early days of SDN, uh we're out, you know, it was, was it a controller or is You know, we cover PagerDuty summit and you know, Jeff said the bandwidth that's necessary in order to support everybody working And as long as there's traceability and a point that Brad made, as far as you being able to go through here doing the automation So I want to get your take on the other side, I think there's still, you know, kind of bumbling down, bumbling down paths, I go back to it being application centric because, you know, things to the cloud or even to other data centers or, you know, in your premise, And the, you know, programmability and API and Presidios, I'm sure the best partner that you have in the whole world that's and you one of the Cisco live events in the dev net zone or the prior dev net create events, There's still a lot of, uh, information sharing and, you know, great to see you. When I'm Sean for the cube, your host for accelerating automation with dev net, And then we find really interesting channels. And also a new segment called street from engineering, where you get to hear from the engineers, Thank you so much for watching and we'll see you at dev net create thanks
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Mandy | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Susie | PERSON | 0.99+ |
Sylvia | PERSON | 0.99+ |
Alice | PERSON | 0.99+ |
Susie Mandy | PERSON | 0.99+ |
John | PERSON | 0.99+ |
California | LOCATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Ohio | LOCATION | 0.99+ |
Asia | LOCATION | 0.99+ |
Belgium | LOCATION | 0.99+ |
Europe | LOCATION | 0.99+ |
Joe | PERSON | 0.99+ |
2002 | DATE | 0.99+ |
China | LOCATION | 0.99+ |
Barcelona | LOCATION | 0.99+ |
Dave Volante | PERSON | 0.99+ |
Joe Vaccaro | PERSON | 0.99+ |
Bob | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Todd | PERSON | 0.99+ |
Jeffrey | PERSON | 0.99+ |
2006 | DATE | 0.99+ |
two | QUANTITY | 0.99+ |
Jennifer | PERSON | 0.99+ |
Susie Lee | PERSON | 0.99+ |
January | DATE | 0.99+ |
India | LOCATION | 0.99+ |
March | DATE | 0.99+ |
Jeff | PERSON | 0.99+ |
Wade Lee | PERSON | 0.99+ |
Chuck Robbins | PERSON | 0.99+ |
15% | QUANTITY | 0.99+ |
October | DATE | 0.99+ |
Suzie Wee, Mandy Whaley, and Eric Thiel V2
>>from around the globe. It's the Cube presenting accelerating automation with definite brought to you by Cisco. >>Hello and welcome to the Cube. I'm John for a year host. We've got a great conversation virtual event, accelerating automation with definite Cisco. Definite. And of course, we got the Cisco Brain Trust here. Cube alumni Suzy we Vice President, senior Vice President GM and also CTO of Cisco. Definite and ecosystem Success C X, All that great stuff. Many Wadley Who's the director? Senior director of definite certifications. Eric Field, director of developer advocacy. Susie Mandy. Eric, Great to see you. Thanks for coming on. >>Great to see you >>down. So we're not in person. We >>don't Can't be at the definite zone. We can't be on site doing definite created All the great stuff we've been doing in the past three years were virtual the cube Virtual. Thanks for coming on. Uh, Susie, I gotta ask you because you know, we've been talking years ago when you started this mission and just the succession had has been awesome. But definite create has brought on a whole nother connective tissue to the definite community. This is what this ties into the theme of accelerating automation with definite because you said to me, I think four years ago everything should be a service or X a s is it's called and automation plays a critical role. Um, could you please share your vision? Because this is really important. And still only 5 to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and program ability. What's your What's your vision? >>Yeah, absolutely. I mean, what we know is that is, more and more businesses are coming online is I mean, they're all online, But is there growing into the cloud? Is their growing in new areas as we're dealing with security is everyone's dealing with the pandemic. There's so many things going on. But what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security. It has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure. How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be ableto really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable, the infrastructure is programmable, and you don't need just acts writing on top. But now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to a higher level business processes and tie all of that up and down the staff by leveraging automation. >>You remember a few years ago when definite create first started, I interviewed Todd Nightingale and we're talking about Muraki. You know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about, then this is kind of what's going on now. And we were just recently, I think our last physical event was Cisco um Europe in Barcelona before all the cove it hit and you had the massive cloud surgeon scale happening going on right when the pandemic hit. And even now, more than ever, the cloud scale the modern APS. The momentum hasn't stopped because there's more pressure now to continue addressing Mawr innovation at scale. Because the pressure to do that because >>the stay alive get >>your thoughts on, um, what's going on in your world? Because you were there in person. Now we're six months in scale is huge. >>We are, Yeah, absolutely. And what happened is as all of our customers as businesses around the world as we ourselves all dealt with, How do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because >>you >>have to go home and then figure out how from home can I make sure that my I t infrastructure is automated out from home? Can I make sure that every employee is out there in working safely and securely? You know, things like call center workers, which had to go into physical locations and being kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world. But also in India, where it was actually not, you know, not they wouldn't let They didn't have rules toe let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer. You know, all of our customers could administer these systems from home, so that puts extra stress on automation. It puts extra stress on our customers digital transformation. And it just forced them toe, you know, automate digitally transform quicker. And they had to because you couldn't just go into a server room and tweak your servers. You have to figure out how to automate all of that. >>You know, one of them >>were still there, all in that environment today. >>You know, one of the hottest trends before the pandemic was observe ability, uh, kubernetes serve micro services. So those things again. All Dev ups. And you know, if you guys got some acquisitions, you thought about 1000 eyes. Um, you got a new one you just bought recently Port shift to raise the game in security, Cuban, All these micro services, So observe, ability, superhot. But then people go work at home, as you mentioned. How do you think? Observe, What do you observing? The network is under huge pressure. I mean, it's crashing on. People zooms and WebEx is and education, huge amount of network pressure. How are people adapting to this in the upside? How are you guys looking at the what's being programmed? What are some of the things that you're seeing with use cases around this program? Ability, challenge and observe ability, challenges? It's a huge deal. >>Yeah, absolutely. And, you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before he had Muraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has This goes entire enterprise and cloud business. So he is now applying that at that Bigger Attn. Bigger scale. Francisco and for our customers. And he is building in the observe ability and the dashboards and the automation of the A P. I s and all of it. But when we take a look at what our customers needed is again, they had to build it all in, um, they had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people toe work from home and how well you could reach customers. All of that used to be a nightie conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually, you know, calling on the heads of I t and the CEO and saying, You know, how is our VPN connectivity? Is everybody working from home? How many people are, you know, connected and ableto work and watch their productivity? Eso All of a sudden, all these things that were really infrastructure I t stuff became a board level conversation and you know, once again, at first everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they're now building in automation, additional transformation and these architectures, and that gives them a chance to build in that observe ability. You know, looking for those events. The dashboards, you know? So it really has been fantastic to see what our customers are doing and what our partners air doing to really rise to that next level. >>Susan, I know you gotta go, but real quick, um, describe what? Accelerating automation with definite means. >>Well, you've been fault. You know, we've been working together on definite in the vision of the infrastructure program ability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that. And you need the right skill sets in the program ability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people. And it is about bringing infrastructure expertise together with software expertise and letting people run. Things are definite. Community has risen to this challenge. People have jumped in. They've gotten their certifications. We have thousands of people getting certified. You know, we have you know, Cisco getting certified. We have individuals. We have partners, you know, They're just really rising to the occasion. So accelerate accelerating automation while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications of cloud directed businesses and cloud growth. So it actually is about people, Justus, much as it is about automation and technology. >>And we got definite create right around the corner virtual. Unfortunately, being personal will be virtual Susie. Thank you for your time. We're gonna dig into those people challenges with Mandy and Eric. Thank you for coming on. I know you got to go, but stay with us. We're gonna dig in with Mandy and Eric. Thanks. >>Thank you so much. Thank you. Thanks, John. Okay. >>Mandy, you heard Susie is about people, and one of the things that's close to your heart you've been driving is a senior director of definite certifications. Um is getting people leveled up? I mean, the demand for skills cybersecurity, network program, ability, automation, network design solution, architect cloud multi cloud design thes are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >>Oh, yes, absolutely. The you know what we've been seeing is a lot of those business drivers that Susie was mentioning those air. What's accelerating? A lot of the technology changes, and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing, uh, customers, partners, people in our community really starting to look at, you know, things like Dev SEC ops engineer, network Automation engineer, network automation developer, which sues you mentioned and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current, um, scope and broaden out and take on new challenges? >>Eric, I want to go to you for a quick second on this, um uh, piece of getting the certifications. Um, first, before you get started, describe what your role is. Director of developer advocacy, because that's always changing and evolving what's the state of it now? Because with Cove and people are working at home, they have more time to contact, switch and get some certifications and that they can code more. What's your >>What's your role? Absolutely So it's interesting. It definitely is changing a lot. A lot of our historically a lot of focus for my team has been on those outward events. So going to the definite creates the Cisco lives and helping the community connect and help share technical information with them, doing hands on workshops and really getting people into. How do you really start solving these problems? Eso that's had to pivot quite a bit. Obviously, Sisco live us. We pivoted very quickly to a virtual event when when conditions changed and we're able to actually connect, as we found out with a much larger audience. So you know, as opposed to in person where you're bound by the parameters of you know how big the convention center is. We were actually able to reach a worldwide audience with are definite day that was kind of attached onto Sisco Live, and we got great feedback from the audience that now we're actually able to get that same enablement out to so many more people that otherwise might not have been able to make it. But to your broader question of you know what my team does. So that's one piece of it is is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes, new learning labs, things like that that they can come and get whenever they're looking for it out on the definite site. And then my team also looks after communities such as the Cisco Learning Network, where there's there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group that all of the people that have been there for years are now looking at the definite certifications and helping other people that are trying to get on board with program ability. They're taking a lot of those same community enablement skills and propping up community with, you know, helping answer questions, helping provide content. They move now into the definite spaces well and are helping people with that sort of certifications. So it's great seeing the community come along and really see that >>I gotta ask you on the trends around automation. What skills and what developer patterns are you seeing with automation? Are Is there anything in particular? Obviously, network automation been around for a long time. Cisco's been leader in that. But as you move up, the staff has modern applications or building. Do you see any patterns or trends around what is accelerating automation? What people learning? >>Yeah, absolutely. So you mentioned observe ability was big before Cove it and we actually really saw that amplified during co vid. So a lot of people have come to us looking for insights. How can I get that better observe ability now that we needed? Well, we're virtual eso. That's actually been a huge uptick, and we've seen a lot of people that weren't necessarily out looking for things before that air. Now, figuring out how can I do this at scale? I think one good example that Susie was talking about the VPN example, and we actually had a number of SCS in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up and one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that I T departments might care about about their firewalls, things that you didn't normally look at. The old days you would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100% things like licenses started coming into play where they need to make sure they had the right capacity in their platforms that they weren't necessarily designed for. So one of the essays actually wrote a bunch of code to go out, use them open source, tooling to monitor and alert on these things, and then published it so the whole community code could go out and get a copy of it. Try it out in their own environment. And we saw a lot of interest around that and >>trying >>to figure out Okay, now I could take that. I can adapt into what I need to see for my observe ability. >>That's great, Mandy, I want to get your thoughts on this, too, because as automation continues to scale. Um, it's gonna be a focus. People are at home. And you guys had a lot of content online for you. Recorded every session that in the definite zone learning is going on sometimes literally and non linearly. You've got the certifications, which is great. That's key. Great success there. People are interested. But what other learnings are you seeing? What are people, um, doing? What's the top top trends? >>Yeah. So what we're seeing is like you said, people are at home, they've got time, they want toe advance, their skill set. And just like any kind of learning, people want choice. They wanna be able to choose which matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors leading them through a study plan. On we have two new expert lead study groups like that. We're also seeing whole teams at different companies who want to do an immersive learning experience together with projects and office hours and things like that. And we have a new offer that we've been putting together for people who want those kind of team experiences called Automation Boot Camp. And then we're also seeing individual who want to be able to, you know, dive into a topic, do a hands on lab, gets, um, skills, go to the rest of the day of do their work and then come back the next day. And so we have really modular, self driven hands on learning through the Definite Fundamentals course, which is available through DEV. Net. And then there's also people who are saying, I just want to use the technology. I like Thio experiment and then go, you know, read the instructions, read the manual, do the deeper learning. And so they're They're spending a lot of time in our definite sandbox, trying out different technologies. Cisco Technologies with open source technologies, getting hands on and building things, and three areas where we're seeing a lot of interest in specific technologies. One is around SD wan. There's a huge interest in people Skilling up there because of all the reasons that we've been talking about. Security is a focus area where people are dealing with new scale, new kinds of threats, having to deal with them in new ways and then automating their data center using infrastructure as code type principles. So those were three areas where we're seeing a lot of interest and you'll be hearing more about that at definite create. >>Awesome Eric and man, if you guys can wrap up the accelerated automated with definite package and virtual event here, um, and also t up definite create because definite create has been a very kind of grassroots, organically building momentum over the years. Again, it's super important because it's now the app world coming together with networking, you know, end to end program ability. And with everything is a service that you guys were doing everything with a piece. Um Onley can imagine the enablement that's gonna enable create Can >>you hear the >>memory real quick on accelerating automation with definite and TF definite create. Mandy will start with you. >>Yes, I'll go first, and then Eric can close this out. Um, so just like we've been talking about with you at every definite event over the past years, you know, Devon, it's bringing a p I s across our whole portfolio and up and down the stack and accelerating automation with definite. Suzy mentioned the people aspect of that the people Skilling up and how that transformed team transforms teams. And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so would I think about accelerating automation with definite. It's about the definite community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community with those new skills. >>Eric, take us home. He accelerate automation. Definite and definite create a lot of developer action going on cloud native right now, your thoughts? >>Absolutely. I I think it's exciting. I mentioned the transition to virtual for definite day this year for Cisco Live, and we're seeing we're able to leverage it even further with create this year. So whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding a start now track for people that I want to be there. They want to be a developer. Network automation developer, for instance, We've now got a track just for them where they could get started and start learning some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. Eso. I love that we're able to bring that together with the experience community that we usually do from across the industry, bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mixed together as well as getting some of our business units together to and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new AP eyes into their platforms? What are the what problems are they hoping that customers will be able to solve with them? So I think together, seeing all of that and then bringing the community together from all of our usual channels. So, like I said, Cisco Learning Network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >>Awesome. Thanks so much. God, man, can >>I add one had >>one more thing. >>Yeah, I was just going to say the other really exciting thing about create this year with the virtual nature of it is that it's happening in three regions. And, you know, we're so excited to see the people joining from all the different regions. And, uh, content and speakers and the region stepping upto have things personalized to their area to their community. And so that's a whole new experience for definite create that's going to be fantastic this year. >>You know, that's what God is going to close out and just put the final bow on that by saying that you guys have always been successful with great content focused on the people in the community. I think now, during with this virtual definite virtual definite create virtual the cube virtual, I think we're learning new things. People working in teams and groups on sharing content. We're gonna learn new things. We're gonna try new things, and ultimately people will rise up and will be resilient. I think when you have this kind of opportunity, it's really fun. And whoa, we'll ride the wave with you guys. So thank you so much for taking the time to come on. The Cuban talk about your awesome accelerate automation and definitely looking forward to it. Thank you. >>Thank you so much. >>Happy to be here. >>Okay, I'm John for the Cube. Virtual here in Palo Alto studios doing the remote content amendment Virtual until we're face to face. Thank you so much for watching. And we'll see you at definite create. Thanks for watching.
SUMMARY :
automation with definite brought to you by Cisco. Great to see you. So we're not in person. of accelerating automation with definite because you said to me, I think four years ago And in order to do that, you know, the whole new tool that we've always talked about is that the network You know, not to get in the weeds, but you know, switches and hubs and wireless. Because you were there in person. And then it turns out, you know, business keeps rolling, but we've had to automate even more because And they had to because you couldn't just go into a server room and tweak your servers. And you know, if you guys got some acquisitions, you thought about 1000 eyes. So all of a sudden CEOs were actually, you know, calling on the heads of I t and the CEO and Susan, I know you gotta go, but real quick, um, describe what? to the level of, you know, being able to put infrastructure and software expertise together to I know you got to go, but stay with us. Thank you so much. Mandy, you heard Susie is about people, and one of the things that's close to your heart partners, people in our community really starting to look at, you know, things like Dev SEC Eric, I want to go to you for a quick second on this, um uh, piece of getting the certifications. So you know, as opposed to in person where you're bound by the parameters of you know how big the convention center I gotta ask you on the trends around automation. that I T departments might care about about their firewalls, things that you didn't normally look at. I can adapt into what I need to see for my observe ability. And you guys had a lot of content online for And then we're also seeing individual who want to be able to, you know, dive into a topic, together with networking, you know, end to end program ability. Mandy will start with you. with you at every definite event over the past years, you know, Devon, it's bringing a p I s across our Definite and definite create a lot of developer So whereas it used to be, you know, confined by the walls that we were within for the event. God, man, can And, you know, we're so excited to see the You know, that's what God is going to close out and just put the final bow on that by saying that you guys And we'll see you at definite create.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Mandy | PERSON | 0.99+ |
Susie | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Susan | PERSON | 0.99+ |
Suzie Wee | PERSON | 0.99+ |
Eric Field | PERSON | 0.99+ |
Susie Mandy | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Eric | PERSON | 0.99+ |
India | LOCATION | 0.99+ |
Mandy Whaley | PERSON | 0.99+ |
Eric Thiel | PERSON | 0.99+ |
Suzy | PERSON | 0.99+ |
100% | QUANTITY | 0.99+ |
six months | QUANTITY | 0.99+ |
Cisco Brain Trust | ORGANIZATION | 0.99+ |
Cisco Learning Network | ORGANIZATION | 0.99+ |
Barcelona | LOCATION | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
pandemic | EVENT | 0.99+ |
four years ago | DATE | 0.98+ |
5 | QUANTITY | 0.98+ |
Todd Nightingale | PERSON | 0.98+ |
three regions | QUANTITY | 0.98+ |
Todd | PERSON | 0.98+ |
this year | DATE | 0.98+ |
one | QUANTITY | 0.98+ |
three areas | QUANTITY | 0.98+ |
one piece | QUANTITY | 0.98+ |
today | DATE | 0.97+ |
One | QUANTITY | 0.97+ |
Wadley | PERSON | 0.96+ |
first | QUANTITY | 0.96+ |
10% | QUANTITY | 0.95+ |
Cisco Technologies | ORGANIZATION | 0.95+ |
one central place | QUANTITY | 0.93+ |
Sisco live | ORGANIZATION | 0.92+ |
one good example | QUANTITY | 0.91+ |
Vice President | PERSON | 0.91+ |
Cove | ORGANIZATION | 0.91+ |
Muraki | PERSON | 0.91+ |
Cube | COMMERCIAL_ITEM | 0.9+ |
Devon | PERSON | 0.9+ |
Justus | PERSON | 0.89+ |
about 1000 eyes | QUANTITY | 0.89+ |
Onley | PERSON | 0.87+ |
past three years | DATE | 0.87+ |
Cuban | OTHER | 0.87+ |
second | QUANTITY | 0.86+ |
next day | DATE | 0.85+ |
Francisco | PERSON | 0.83+ |
three | QUANTITY | 0.82+ |
one more thing | QUANTITY | 0.81+ |
Europe | LOCATION | 0.8+ |
few years ago | DATE | 0.78+ |
Net | OTHER | 0.76+ |
definite create | ORGANIZATION | 0.75+ |
Cisco Live | EVENT | 0.74+ |
Suzie Wee, Mandy Whaley, and Eric Thiel V1
>> Narrator: From around the globe, it's theCUBE. Presenting Accelerating Automation with DevNet. Brought to you by Cisco. >> Hello and welcome to theCUBE. I'm John Furrier, your host. We've got a great conversation and a virtual event, Accelerating Automation with DevNet , Cisco DevNet. And of course we got the Cisco brain trust here. Cube alumni, Susie Wee, Vice President, Senior Vice President, GM, and also CTO of Cisco DevNet and Ecosystem Success CX, all that great stuff. Mandy Whaley, who's the Director, Senior Director of DevNet Certifications, And Eric Thiel, Director of Developer Advocacy, Susie, Mandy, Eric, great to see you. Thanks for coming on. >> Great to see you, John. >> So we're not in person >> It's great to be here. >> We don't, can't be at the DevNet Zone. We can't be on site doing DevNet Create, all the great stuff we've been doing over the past few years. We're virtual, theCUBE virtual. Thanks for coming on. Susie, I got to ask you because you know, we've been talking years ago when you started this mission and just the success you had has been awesome, but DevNet Create has brought on a whole nother connective tissue to the DevNet community. This ties into the theme of accelerating automation with DevNet, because you said to me, I think four years ago, everything should be a service or XaaS as it's called (Susie laughs) and automation plays a critical role. Could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your vision? >> Yeah, absolutely. I mean, what we know is that as more and more businesses are coming online as, well I mean, they're all online, but as they're growing into the cloud, as they're growing in new areas, as we're dealing with security, as everyone's dealing with the pandemic, there's so many things going on. But what happens is, there's an infrastructure that all of this is built on and that infrastructure has networking, it has security, it has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need? And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable, and you don't need just apps riding on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation, you can rise to higher level business processes and tie all of that up and down the stack by leveraging automation. >> You know, I remember a few years ago when DevNet Create first started, I interviewed Todd Nightingale, and we were talking about Meraki, you know, not to get in the weeds about you know, switches and hubs and wireless. But if you look at what we were talking about then, this is kind of what's going on now. And we were just recently, I think our last physical event was at Cisco Europe in Barcelona before all the COVID hit. And you had >> Susie: Yeah. >> The massive cloud surge and scale happening going on, right when the pandemic hit. And even now more than ever the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that, because the businesses need to stay alive. >> Absolutely, yeah. >> I just want to get your thoughts on what's going on in your world, because you were there in person. Now we're six months in, scale is huge. >> We are. Yeah, absolutely. And what happened is as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home can I make sure that my IT infrastructure is automated? How from home can I make sure that every employee is out there and working safely and securely? You know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they didn't have rules to let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate digitally transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still in that environment today. >> You know one of the hottest trends before the pandemic was observability, Kubernetes microservices. So those things, again, all DevOps and, you know, you guys got some acquisitions, you've bought ThousandEyes, you got a new one. You just bought recently PortShift to raise the game in security, Kuber and all these microservices. So observability super hot, but then people go work at home as you mentioned. How do you (chuckles) >> Yeah What are you observing? The network is under a huge pressure. I mean, it's crashing on people's Zooms and Web Ex's and education, huge amount of network pressure. How are people adapting to this in the app side? How are you guys looking at the, what's being programmed? What are some of the things that you're seeing with use cases around this programmability challenge and observability challenge that's such a huge deal? >> Yeah, absolutely. And you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before, he had Meraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger, at that bigger scale for Cisco and for our customers. And he is building in the observability and the dashboards and the automation and the APIs into all of it. But when we take a look at what our customers needed is again, they had to build it all in. They had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. All of that used to be an IT conversation. It became a CEO and a board-level conversation. So all of a sudden, CEOs were actually, you know, calling on the Heads of IT and the CIO and saying, you know, "How's our VPN connectivity? Is everybody working from home? How many people are connected and able to work and what's their productivity?" So all of a sudden, all these things that were really infrastructure IT stuff became a board level conversation and, you know, once again, at first everybody was panicked and just figuring out how to get people working, but now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >> Susie, I know you got to go, but real quick, describe what accelerating automation with DevNet means. >> (giggles)Well, you've been, you know, we've been working together on DevNet and the vision of the infrastructure programmability and everything for quite some time and the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people run things. Our DevNet community has risen to this challenge. People have jumped in, they've gotten their certifications. We have thousands of people getting certified. You know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerating automation, while it is about going digital. It's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications, of, you know, cloud directed businesses and cloud growth. So it actually is about people, just as much as it is about automation and technology. >> And we got DevNet Create right around the corner, Virtual, unfortunately, won't be in person, but will be virtual. Susie, thank you for your time. We're going to dig into those people challenges with Mandy and Eric. Thank you for coming on. I know you've got to go, but stay with us. We're going to dig in with Mandy and Eric. Thanks. >> Thank you so much. Have fun. >> Thank you. >> Thanks John. >> Okay. Mandy, you heard Susie, it's about people. And one of the things that's close to your heart, you've been driving as Senior Director of DevNet Certifications, is getting people leveled up. I mean the demand for skills, cybersecurity, network programmability, automation, network design, solution architect, cloud, multi-cloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >> Oh yes, absolutely. You know, what we've been seeing is a lot of those business drivers, that Susie was mentioning. Those are what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network automation engineer, network automation developer, which Susie mentioned, and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. >> Eric, I want to go to you for a quick second on this piece of getting the certifications. First, before we get started, describe what your role is as Director of Developer Advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact Switch, and get some certifications and yet they can code more. What's your role? >> Absolutely. So it's interesting. It definitely is changing a lot. A lot of our, historically a lot of focus for my team has been on those outward events. So going to the DevNet Creates, the Cisco Lives and helping the community connect and to help share technical information with them, doing hands on workshops and really getting people into how do you really start solving these problems? So that's had to pivot quite a bit. Obviously Cisco Live US, we pivoted very quickly to a virtual event when conditions changed. And we're able to actually connect as we found out with a much larger audience. So, you know, as opposed to in person where you're bound by the parameters of, you know, how big the convention center is, we were actually able to reach a worldwide audience with our DevNet Day that was kind of attached onto Cisco Live. And we got great feedback from the audience that now we were actually able to get that same enablement out to so many more people that otherwise might not have been able to make it, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We are always helping out build new sandboxes, new learning labs, things like that, that they can come and get whenever they're looking for it out on the DevNet site. And then my team also looks after communities, such as the Cisco Learning Network where there's a huge community that has historically been there to support people working on their Cisco certifications. We've seen a huge shift now in that group, that all of the people that have been there for years are now looking at the DevNet certifications and helping other people that are trying to get onboard with programmability. They're taking a lot of those same community enablement skills and propping up the community with helping you answer questions, helping provide content. They've moved now into the DevNet space as well, and are helping people with that set of certifications. So it's great seeing the community come along and really see that. >> I got to ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Is there anything in particular, obviously network automation has been around for a long time. Cisco has been leader in that, but as you move up the stack as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? >> Yeah, absolutely. So you mentioned observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability now that we need it while we're virtual. So that's actually been a huge uptick and we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out' how can I do this at scale? And I think one good example that Susie was talking about the VPN example. And we actually had a number of SEs in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that IT departments might care about, about their firewalls, things that you didn't normally look at in the old days. You would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100%, things like licenses started coming into play, where they needed to make sure they have the right capacity in their platforms that they weren't necessarily designed for. So one of the SEs actually wrote a bunch of code to go out, use some open source tooling to monitor and alert on these things and then published it, so the whole community could go out and get a copy of it, try it out in their own environment. And we saw a lot of interest around that in trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >> That's great. Mandy, I want to get your thoughts on this too, because as automation continues to scale, it's going to be a focus and people are at home and you guys had a lot of content online for you recorded every session in the DevNet Zone. Learning's going on, sometimes linearly and non linearly. You got the certifications, which is great. That's key, great success there. People are interested, but what other learnings are you seeing? What are people doing? What's the top top trends? >> Yeah. So what we're seeing is like you said, people are at home, they've got time. They want to advance their skillset. And just like any kind of learning, people want choice they want to be able to choose what matches their time that's available and their learning style. So we're seeing some people who want to dive into full online study groups with mentors leading them through a study plan. And we have two new expert-led study groups like that. We're also seeing whole teams at different companies who want to do an immersive learning experience together with projects and office hours and things like that. And we have a new offer that we've been putting together for people who want those kinds of team experiences called Automation Bootcamp. And then we're also seeing individuals who want to be able to, you know, dive into a topic, do a hands-on lab, get some skills, go to the rest of the day of do their work and then come back the next day. And so we have really modular self-driven hands-on learning through the DevNet Fundamentals course, which is available through DevNet. And then there's also people who are saying, "I just want to use the technology. "I like to experiment and then go, you know, "read the instructions, read the manual, "do the deeper learning." And so they're spending a lot of time in our DevNet sandbox, trying out different technologies, Cisco technologies with open source technologies, getting hands-on and building things. And three areas where we're seeing a lot of interest in specific technologies. One is around SD-WAN. There's a huge interest in people skilling up there because of all the reasons that we've been talking about. Security is a focus area where people are dealing with new scale, new kinds of threats, having to deal with them in new ways. and then automating their data center using infrastructure as code type principles. So those are three areas where we're seeing a lot of interest and you'll be hearing some more about that at DevNet Create. >> Awesome. Eric and Mandy, if you guys can wrap up this Accelerating Automation with DevNet package and virtual event here and also tee up DevNet Create because DevNet Create has been a very kind of grassroots, organically building momentum over the years. And again, it's super important cause it's now the app world coming together with networking, you know, end to end programmability and with everything as a service that you guys are doing, everything with APIs, I only can imagine the enablement that's going to create. >> Mandy: Yeah >> Can you share the summary real quick on Accelerating Automation with DevNet and tee up DevNet Create. Mandy, we'll start with you. >> Yes, I'll go first and then Eric can close this out. So just like we've been talking about with you at every DevNet event over the past years, you know, DevNet's bringing APIs across our whole portfolio, and up and down the stack and Accelerating Automation with DevNet , Susie mentioned the people aspect of that. The people skilling up and how that transforms teams, And I think that it's all connected in how businesses are being pushed on their transformation because of current events. That's also a great opportunity for people to advance their careers and take advantage of some of that quickly changing landscape. And so what I think about Accelerating Automation with DevNet, it's about the DevNet community. It's about people getting those new skills and all the creativity and problem solving that will be unleashed by that community with those new skills. >> Eric, take us home here, Accelerating Automation with DevNet and DevNet Create, a lot of developer action going on in Cloud Native right now, your thoughts. >> Absolutely. I think it's exciting. I mentioned the transition to virtual for DevNet Day this year, for Cisco Live and we're seeing, we're able to leverage it even further with Create this year. So, whereas it used to be, you know, confined by the walls that we were within for the event. Now we're actually able to do things like we're adding the Start Now track for people that want to be there. They want to be a developer, a network automation developer for instance, we've now got a track just for them where they can get started and start learning some of the skills they'll need, even if some of the other technical sessions were a little bit deeper than what they were ready for. So I love that we're able to bring that together with the experienced community that we usually do from across the industry bringing us all kinds of innovative talks, talking about ways that they're leveraging technology, leveraging the cloud to do new and interesting things to solve their business challenges. So I'm really excited to bring that whole mix together, as well as getting some of our business units together too and talk straight from their engineering departments. What are they doing? What are they seeing? What are they thinking about when they're building new APIs into their platforms? What problems are they hoping that customers will be able to solve with them? So I think together seeing all of that and then bringing the community together from all of our usual channels. So like I said, Cisco learning network, we've got a ton of community coming together, sharing their ideas and helping each other grow those skills. I see nothing but acceleration ahead of us for automation. >> Awesome. Thanks so much. >> I would >> Go ahead, Mandy. >> Can I add one more thing? >> Add one more thing. >> Yeah, I was just going to say the other really exciting thing about Create this year with the virtual nature of it is that it's happening in three regions and you know, we're so excited to see the people joining from all the different regions and content and speakers and the regions stepping up to have things personalized to their area, to their community. And so that's a whole new experience for DevNet Create that's going to be fantastic this year. >> Yeah, that's it. I was going to close out and just put the final bow on that by saying that you guys have always been successful with great content focused on the people in the community. I think now during, with this virtual DevNet, virtual DevNet create virtual theCUBE virtual, I think we're learning new things. People are working in teams and groups and sharing content, we're going to learn new things. We're going to try new things and ultimately people will rise up and will be resilient. And I think when you have this kind of opportunity, it's really fun. And we'll ride the wave with you guys. >> So thank you so much (Susie laughs) for taking the time to come on theCUBE and talk about your awesome Accelerating Automation and DevNet Create Looking forward to it, thank you. >> Thank you so much, >> All right, thanks a lot. >> Happy to be here. >> Okay, I'm John Furrier with theCUBE virtual here in Palo Alto studios doing the remote content and men, we stay virtual until we're face to face. Thank you so much for watching and we'll see you at DevNet Create. Thanks for watching. (upbeat outro) >> Controller: Okay John, Here we go, John. Here we go. John, we're coming to you in five, four, three, two. >> Hello, and welcome to theCUBE. I'm John Furrier, your host. We've got a great conversation and a virtual event, Accelerating Automation with DevNet, Cisco DevNet. And of course we got the Cisco brain trust here. Cube alumni, Susie Wee, Senior Vice President GM and also CTO at Cisco DevNet and Ecosystem Success CX, all that great stuff. Mandy Whaley, who's the Director, Senior Director of DevNet Certifications, and Eric Thiel, Director of Developer Advocacy. Susie, Mandy, Eric, great to see you. Thanks for coming on. >> Great to see you, John. So we're not in person. >> It's great to be here >> We don't, can't be at the DevNet zone. We can't be on site doing DevNet Create, all the great stuff we've been doing over the past few years. We're virtual, theCUBE virtual. Thanks for coming on. Susie, I got to ask you because you know, we've been talking years ago when you started this mission and just the success you had has been awesome. But DevNet Create has brought on a whole nother connective tissue to the DevNet community. This ties into the theme of Accelerating Automation with DevNet, because you said to me, I think four years ago, everything should be a service or XaaS as it's called. And automation plays (Susie laughs) a critical role. Could you please share your vision because this is really important and still only five to 10% of the enterprises have containerized things. So there's a huge growth curve coming with developing and programmability. What's your vision? >> Yeah, absolutely. I mean, what we know is that as more and more businesses are coming online as ,well I mean, they're all online, but as they're growing into the cloud, as they're growing in new areas, as we're dealing with security, as everyone's dealing with the pandemic, there's so many things going on, but what happens is there's an infrastructure that all of this is built on and that infrastructure has networking. It has security. It has all of your compute and everything that's in there. And what matters is how can you take a business application and tie it to that infrastructure? How can you take, you know, customer data? How can you take business applications? How can you connect up the world securely and then be able to, you know, really satisfy everything that businesses need. And in order to do that, you know, the whole new tool that we've always talked about is that the network is programmable. The infrastructure is programmable and you don't need just apps riding on top, but now they get to use all of that power of the infrastructure to perform even better. And in order to get there, what you need to do is automate everything. You can't configure networks manually. You can't be manually figuring out policies, but you want to use that agile infrastructure in which you can really use automation. You can rise to higher level business processes and tie all of that up and down the stack by leveraging automation. >> You know, I remember a few years ago when DevNet Create first started, I interviewed Todd Nightingale and we were talking about Meraki, you know, not to get in the weeds, but you know, switches and hubs and wireless. But if you look at what we were talking about then, this is kind of what's going on now. And we were just recently, I think our last physical event was Cisco Europe in Barcelona before all the COVID hit. And you had this massive cloud surge and scale happening going on right when the pandemic hit. And even now more than ever, the cloud scale, the modern apps, the momentum hasn't stopped because there's more pressure now to continue addressing more innovation at scale because the pressure to do that because the businesses need >> Absolutely. >> to stay alive. I just want to get your thoughts on what's going on in your world, because you were there in person now we're six months in scale is huge. >> We are. Yeah, absolutely. And what happened is, as all of our customers, as businesses around the world, as we ourselves all dealt with, how do we run a business from home? You know, how do we keep people safe? How do we keep people at home and how do we work? And then it turns out, you know, business keeps rolling, but we've had to automate even more because you have to go home and then figure out how from home, can I make sure that my IT infrastructure is automated? How from home can I make sure that every employee is out there and working safely and securely, you know, things like call center workers, which had to go into physical locations and be in kind of, you know, just, you know, blocked off rooms to really be secure with their company's information. They had to work from home. So we had to extend business applications to people's homes in countries like, you know, well around the world, but also in India where it was actually not, you know, not, they wouldn't let, they didn't have rules to let people work from home in these areas. So then what we had to do was automate everything and make sure that we could administer, you know, all of our customers could administer these systems from home. So that put extra stress on automation. It put extra stress on our customer's digital transformation and it just forced them to, you know, automate, digitally transform quicker. And they had to, because you couldn't just go into a server room and tweak your servers, you had to figure out how to automate all of that. And we're still all in that environment today. >> You know one of the hottest trends before the pandemic was observability, Kubernetes microservices. So those things, again, all DevOps and you know, you guys got some acquisitions, you bought ThousandEyes, you got a new one. You just bought recently PortShift to raise the game in security, Kuber and all these microservices. So observability is super hot, but then people go work at home as you mentioned. How do you observe, what are you observing? The network is under a huge pressure. I mean, it's crashing on people's Zooms and Web Ex's and education, huge amount of network pressure. How are people adapting to this in the app side? How are you guys looking at the, what's being programmed? What are some of the things that you're seeing with use cases around this programmability challenge and observability challenges? It's a huge deal. >> Yeah, absolutely. And you know, going back to Todd Nightingale, right? You know, back when we talked to Todd before he had Meraki and he had designed this simplicity, this ease of use, this cloud managed, you know, doing everything from one central place. And now he has Cisco's entire enterprise and cloud business. So he is now applying that at that bigger scale for Cisco and for our customers and he is building in the observability and the dashboards and the automation and the APIs into all of it. But when we take a look at what our customers needed is again, they had to build it all in. They had to build in. And what happened was how your network was doing, how secure your infrastructure was, how well you could enable people to work from home and how well you could reach customers. All of that used to be an IT conversation. It became a CEO and a board level conversation. So all of a sudden CEOs were actually, you know, calling on the heads of IT and the CIO and saying, you know, how's our VPN connectivity? Is everybody working from home. How many people are you know, connected and able to work and what's their productivity? So all of a sudden, all these things that were really infrastructure IT stuff became a board level conversation. And, you know once again, at first everybody was panicked and just figuring out how to get people working. But now what we've seen in all of our customers is that they are now building in automation and digital transformation and these architectures, and that gives them a chance to build in that observability, you know, looking for those events, the dashboards, you know, so it really has been fantastic to see what our customers are doing and what our partners are doing to really rise to that next level. >> Susie, I know you got to go, but real quick, describe what Accelerating Automation with DevNet means. >> (laughs) Well, you know, we've been working together on DevNet in the vision of the infrastructure programmability and everything for quite some time. And the thing that's really happened is yes, you need to automate, but yes, it takes people to do that and you need the right skill sets and the programmability. So a networker can't be a networker. A networker has to be a network automation developer. And so it is about people and it is about bringing infrastructure expertise together with software expertise and letting people run things. Our DevNet community has risen to this challenge. People have jumped in, they've gotten their certifications. We have thousands of people getting certified. You know, we have, you know, Cisco getting certified. We have individuals, we have partners, you know, they're just really rising to the occasion. So accelerating automation, while it is about going digital, it's also about people rising to the level of, you know, being able to put infrastructure and software expertise together to enable this next chapter of business applications, of you know, cloud directed businesses and cloud growth. So it actually is about people just as much as it is about automation and technology. >> And we got DevNet Create right around the corner virtual, unfortunately won't be in person, but will be virtual. Susie, thank you for your time. We're going to dig into those people challenges with Mandy and Eric. Thank you for coming on. I know got to go, but stay with us. We're going to dig in with Mandy and Eric. Thanks. >> Thank you so much. Have fun. >> Thank you. >> Thanks, John. >> Okay, Mandy, you heard Susie, it's about people. And one of the things that's close to your heart you've been driving is, as senior director of DevNet Certifications is getting people leveled up. I mean the demand for skills, cybersecurity, network programmability, automation, network design, solution architect, cloud multicloud design. These are new skills that are needed. Can you give us the update on what you're doing to help people get into the acceleration of automation game? >> Oh yes, absolutely. You know, what we've been seeing is a lot of those business drivers that Susie was mentioning. Those are what's accelerating a lot of the technology changes and that's creating new job roles or new needs on existing job roles where they need new skills. We are seeing customers, partners, people in our community really starting to look at, you know, things like DevSecOps engineer, network automation engineer, network automation developer which Susie mentioned, and looking at how these fit into their organization, the problems that they solve in their organization. And then how do people build the skills to be able to take on these new job roles or add that job role to their current scope and broaden out and take on new challenges. And this is why we created the DevNet certification. Several years ago, our DevNet community, who's been some of those engineers who have been coming into that software and infrastructure side and meeting. They ask us to help create a more defined pathway to create resources, training, all the things they would need to take all those steps to go after those new jobs. >> Eric, I want to go to you for a quick second on this piece of getting the certifications. First, before we get started, describe what your role is as Director of Developer Advocacy, because that's always changing and evolving. What's the state of it now because with COVID people are working at home, they have more time to contact Switch, and get some certifications and yet they can code more. What's your role >> Absolutely. So it's interesting. It definitely is changing a lot. A lot of our, historically a lot of focus for my team has been on those outward events. So going to the DevNet Creates, the Cisco Lives and helping the community connect and to help share technical information with them, doing hands-on workshops and really getting people into how do you really start solving these problems? So that's had to pivot quite a bit. Obviously Cisco Live US, we pivoted very quickly to a virtual event when conditions changed and we were able to actually connect as we found out with a much larger audience. So, you know, as opposed to in-person where you're bound by the parameters of you know, how big the convention center is. We were actually able to reach a worldwide audience with our DevNet Day that was kind of attached onto Cisco Live. And we got great feedback from the audience that now we were actually able to get that same enablement out to so many more people that otherwise might not have been able to make it, but to your broader question of, you know, what my team does. So that's one piece of it is getting that information out to the community. So as part of that, there's a lot of other things we do as well. We were always helping out build new sandboxes new learning labs, things like that, that they can come and get whenever they're looking for it out on the DevNet site. And then my team also looks after communities such as the Cisco Learning Network where there's a huge community that has historically been there to support people working on their Cisco certifications. And we've seen a huge shift now in that group that all of the people that have been there for years are now looking at the DevNet certifications and helping other people that are trying to get on board with programmability, they're taking a lot of those same community enablement skills and propping up the community with, you know, helping answer questions, helping provide content. They've moved now into the DevNet space as well, and are helping people with that set of certifications. So it's great seeing the community come along and really see that. >> Yeah, I mean, it's awesome, and first of all, you guys done a great job. I'm always impressed when we were at physical events in the DevNet Zone, just the learning, the outreach. Again, very open, collaborative, inclusive, and also, you know, you had one-on-one classes and talks to full blown advanced, (sneezes)Had to sneeze there >> Yeah, and that's the point. >> (laughs)That was coming out, got to cut that out. I love prerecords. >> Absolutely. >> That's never happened to me to live by the way. I've never sneezed live on a thousand--. (Eric laughs) >> You're allergic to me. >> We'll pick up. >> It happens. >> So Eric, so I got to ask you on the trends around automation, what skills and what developer patterns are you seeing with automation? Is there anything in particular? Obviously network automation has been around for a long time. Cisco has been a leader in that, but as you move up the stack, as modern applications are building, do you see any patterns or trends around what is accelerating automation? What are people learning? >> Yeah, absolutely. So you mentioned observability was big before COVID and we actually really saw that amplified during COVID. So a lot of people have come to us looking for insights. How can I get that better observability now that we need it while we're virtual. So that's actually been a huge uptick. And we've seen a lot of people that weren't necessarily out looking for things before that are now figuring out how can I do this at scale? And I think one good example that Susie was talking about the VPN example. And we actually had a number of SEs in the Cisco community that had customers dealing with that very thing where they very quickly had to ramp up. And one in particular actually wrote a bunch of automation to go out and measure all of the different parameters that IT departments might care about, about their firewalls, things that you didn't normally look at in the old days, you would size your firewalls based on, you know, assuming a certain number of people working from home. And when that number went to 100%, things like licensing started coming into play, where they needed to make sure they had the right capacity in their platforms that they weren't necessarily designed for. So one of the SEs actually wrote a bunch of code to go out, used some open source tooling to monitor and alert on these things and then published it, so the whole community could go out and get a copy of it, try it out in their own environment. And we saw a lot of interest around that in trying to figure out, okay, now I can take that and I can adapt it to what I need to see for my observability. >> That's huge and you know, you brought up this sharing concept. I mean, one of the things that's interesting is you've got more sharing going on. >> Controller: John, let's pause right here. Let's pause right here. I'm going to try and bring Eric and Mandy and everybody out. And then just start right from here to bring Eric and Mandy back in and close up. Stand by Eric just hold tight. >> All right, hold on >> Controller: just for one moment. Hold tight, we got Mandy back >> Controller: Standby. Standby. Standby. Standby, standby, standby. Hold hold hold.
SUMMARY :
Brought to you by Cisco. And of course we got the and just the success you And in order to do that, you know, the weeds about you know, because the pressure to do that, because you were there in person. And then it turns out, you all DevOps and, you know, How are you guys looking at and how well you could reach customers. Susie, I know you got You know, we have, you know, We're going to dig in with Mandy and Eric. Thank you so much. And one of the things the skills to be able to take they have more time to contact Switch, by the parameters of, you know, I got to ask you on the firewalls based on, you know, and you guys had a lot of and then go, you know, coming together with networking, you know, Can you share the summary the past years, you know, DevNet and DevNet Create, leveraging the cloud to do Thanks so much. and the regions stepping up And we'll ride the wave with you guys. for taking the time to come Thank you so much for John, we're coming to you And of course we got the Great to see you, John. and just the success you And in order to do that, you know, because the pressure to do that because you were there in and it just forced them to, you know, and you know, you guys the CIO and saying, you know, Susie, I know you got You know, we have, you know, I know got to go, but stay with us. Thank you so much. And one of the things the skills to be able to take Eric, I want to go to you by the parameters of you know, and also, you know, you out, got to cut that out. to me to live by the way. So Eric, so I got to firewalls based on, you know, know, you brought up I'm going to try and bring Eric Hold tight, we got Mandy back Controller: Standby.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Susie | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
Suzie Wee | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Susie Wee | PERSON | 0.99+ |
Mandy | PERSON | 0.99+ |
Eric Thiel | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Mandy Whaley | PERSON | 0.99+ |
100% | QUANTITY | 0.99+ |
India | LOCATION | 0.99+ |
Todd Nightingale | PERSON | 0.99+ |
six months | QUANTITY | 0.99+ |
Barcelona | LOCATION | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
thousands | QUANTITY | 0.99+ |
Todd | PERSON | 0.99+ |
Cisco DevNet | ORGANIZATION | 0.99+ |
First | QUANTITY | 0.99+ |
Cisco Learning Network | ORGANIZATION | 0.99+ |
DevNet | ORGANIZATION | 0.99+ |
Wei Li, Children’s National Research Institute | AWS Public Sector Online
>>from around the globe. It's the queue with digital coverage of AWS Public sector online brought to you by Amazon Web services. Welcome back. I'm stew minimum. And this is the Cube coverage of Amazon Web service Public sectors, online summit Always love. We have phenomenal practitioner discussion. Of course, public sector includes both government agencies, universities, education, broad swath, you know, inside that ecosystem and some really, you know, important and timely discussion we're having. Of course, with the global pandemic Kobe 19 happening. I'm really happy to welcome to the program Wei Li, who is a PhD and principal investigator as well as an assistant professor both Children National Research Institute associated with George Washington University way Thank you so much for joining us. >>Yeah. Thank you for the opportunity. We're here. >>Alright. Why don't we start with Ah, give us a little bit of you know, your research focus in general. And you know what projects it is that you're working on these days? Yeah, >>sure. So, yeah, so hello, everyone. So our laboratory is many interested in using computational biology and jim editing approaches to understand human genome and human disease. And we're particularly interesting in one gene editing technology will be called CRISPR screening. So this is a fascinating, high for proven technology because it tells you whether one doctor 20,000 human genes are connected with some certain pieces fit in type in one single experiment. So in the possibly developed some of the widely used every reasons to analyze the swimming data has been downloaded off by over 60,000 times. So it's really popular, and right now there are a couple of going projects. But basically we are trying to, for example, problem in machine learning and data mining approaches to find new clues of human disease from the original mix and screening big data on. We also collaborated with a lot of blacks around the world and to use this technology to use this technology to find new cures and drugs for cancer and other decisions. So this is the basic all the way off our current research programmes. Interns off the Conradi 19 research. I think one of the major projects we are having is that, um, we noticed that Christmas winning and other similar screening methods has been widely used in many years. Many research adapted to study waters infection. So in the past 10 years we have seen people you are using their Christmas screening and our AI suite, for example, to study HIV is a car wires, best bars, Western ire virus, Ebola influencers and also coronavirus. So that raises an interesting question from us if we collect all the screening data together. But these viruses, what a new information can we find that we cannot identify for the single study, for example, coe and identify new patterns or new human genes that are that are common in responsible for many different viruses? Type of all, we can find some genes that I work only for some certain people viruses so more well, we know that there are a lot of drugs that target different genes, and we are particularly interested in, for example, can repurpose some of these drugs to treat different hyper viruses, including Kobe, 18 19. So that's the one of the major profits off ongoing research, right and left ready to call the idea, writing So India. And we hope that we can find some new new Jim functions that after that that are broader, really essential for different hyper viruses. I also new drug targets that can potentially treat existing a new drug existing and new viruses, including compared to 19 >>Yeah, crisper. Shown a lot of promise is definitely a lot of excitement in the research community to be ableto work on this. You talked a little bit about, you know, big data, obviously a lot of computational power required to do some of the things you're talking about. Can you speak a little bit to the partnership between computer science and the medicine? How do you make sure on that? You know, there's that marrying of, you know, the people in the technology focus in the medical space. >>Yeah, so I think, Yeah, my my research background is actually from computer science. I call her on the grand graduates from their committed size. So I know a lot about some of the signs and have arisen. But right now it's quite interesting because our research for focus half on computer science and half on their medicine. So it's a complete heart experience, but it's really super was a super exciting to connect both women in science and medicine together. So I think most of the time we are focusing on the coding and the average analysis on. But at the same time, we also spent a lot of time like interpreting the results. In essence, we need a lot off. Yeah, knowledge from biology and medicine to make sense, to make our results since and interpret double in the end, we hope that our results can be They went into a son, for example, canonical, actionable solutions, including new drugs. >>Yeah, it's if you think about you know, the research space. You know, often you know its projects that you're taking months or years to investigate things for talking about the current code 19 pandemic. Of course, there's a critical need today for fast moving activities. So you know what? What are the outcomes from the cover? 19 aspects of of what you're working on. What are some of the outcomes that we might be able to help patients survivability and other things regarding, You know, this specific disease? >>Yeah, So I think there are two major are I would say there are two major benefits from their outcome of our research project. So the first the first thing is that we hope to find some genes that have that can be potentially drug targets. So if they are existing drug second heavily genes, then that would be perfect because we don't need to do anything. Apologies. We just need to try that. Extend existing drugs Toe cabinet is James and in the end, we hope that these drugs can have the broad on the wire. I would say the broad answer. Borrow activity. That means that and you leave, for example, if these drugs can be potentially used to treat Cooley 19 and sometimes in in several years later in the future if there's a new virus coming out. Hopefully they were doing like they're it's already the drugs that target known Gene. Hopefully, that's there were assume the noon numerous that never happened in something the future. But I hope that when the new risk is coming, we already have the new drugs to track it this way. Already have existing drugs to target these viruses, so that's one part and the alibis that way. We have, like, spend a lot of kind of, for example, collecting the genomics and screening data, and we are hoping that our research results can be freely accessible around the road by many different researchers in different laps. So that's why we are rely on AWS to build up there to process and to analyze the data as well as to, uh, to build up an integrated database and websites such that are the outcomes off our projects can be freely accessible around the world. Many other researchers. >>Yeah, great. I'm glad you connected the dots for us. For aws can you speak a little bit too? Obviously, Cloud has, you know, the ability for us to use, you know, nearly infinite computational capabilities. What's specific about AWS helps you along that project. Uh, let's start there. >>Yeah, So I think our AWS really helps us a lot because we developed on average and process their screening data actually takes, like, two or three days to Christmas one data. But if you were talking about, like, tens or hundreds or even thousands off the screen data existing, the high high performance cross team doesn't really help because it takes maybe years to finish. AWS provides, like flexible computing resources, especially the easy two instance that we can quickly deploy and process in military short amount of time. So our estimation is that we can reduce the amount of Time Media 2% to process the poverty Christmas. We need data from months to just a few days. So that's one part and the other guys that we are trying to build up the website and database, as I mentioned before, with which we host a large amount of data. And I think in that sense, AWS and the commuting instance as well as the AWS RDS service really helped us a lot because we don't need to worry too much about. There's a lot of the details of the after deployment off their database and the website. We just go ahead and use that as a service is really straightforward and save us a lot of kind of effort. >>Yeah, and you talk about the sharing of data. Information is so important, But of course it would, talking about medical data highly regulated. So you know what's important to the cloud to make sure that you can share with all the other researchers yet still make sure that there is the security and compliance that is required? >>Yeah, so yeah, that's a really good question. So right now, we don't really need to do if the patient information because all the data we get this from the public domain, it's It's both on the human sound lines, not on human patients. So we don't have their concerns about the privacy protections at this moment. But I think in the future, if you want to integrate genomics state our reach, this screen indeed A, which is already in my research plan. I think the highly secure AWS system actually really provided a really nice for us to do this job. >>Can you give us a little bit? Look forward as to where do you see this research going? What applicability is there before? What you're doing now? Both. You know, as this current pandemic plays out as well as applicability beyond Corp in 19. >>Yeah, sure, I think I think one of their major focus off our current, The company in 19 project is that we hope to find some drug targets tohave the broader under fire activity. So I think in the future, if they knew where it's coming out of the estimated locally in the 19 we hope that we are well prepared for that. I think in the future they're sharing as well as collateral cloud computing. You'll be becoming more and more important as you can see that most of us are working from home right now. So it's really critical to require us to have the platform toe accelerate accelerating sharing between research labs and around the world. And I think many different. I think aws provides this really nice preference for us to do this job well. >>Wei Li, thank you so much for sharing with our audience your updates, really important work. We wish your team the best of luck and hope that you also stay safe. >>Yeah, thank you so much. >>Alright, Stay with us for more coverage from AWS Public sector Summit online. I'm stew Minimum And thanks as always for watching the Cube >>Yeah, yeah, yeah, yeah, yeah
SUMMARY :
AWS Public sector online brought to you by Amazon Why don't we start with Ah, give us a little bit of you know, your research focus So in the past 10 years we have seen people you are using Shown a lot of promise is definitely a lot of excitement in the research community of the time we are focusing on the coding and the average analysis What are some of the outcomes that we might be able to So the first the first thing is that we hope to find some genes that Obviously, Cloud has, you know, the ability for us to use, So that's one part and the other guys that we are trying to build up the website and database, So you know what's important to the cloud to make sure that you can share with all the other researchers do if the patient information because all the data we get this from the public domain, Look forward as to where do you see this research going? The company in 19 project is that we hope to find some drug targets Wei Li, thank you so much for sharing with our audience your updates, Alright, Stay with us for more coverage from AWS Public sector Summit online.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
AWS | ORGANIZATION | 0.99+ |
two | QUANTITY | 0.99+ |
Children’s National Research Institute | ORGANIZATION | 0.99+ |
Wei Li | PERSON | 0.99+ |
George Washington University | ORGANIZATION | 0.99+ |
Children National Research Institute | ORGANIZATION | 0.99+ |
tens | QUANTITY | 0.99+ |
Both | QUANTITY | 0.99+ |
three days | QUANTITY | 0.99+ |
Christmas | EVENT | 0.99+ |
both | QUANTITY | 0.99+ |
hundreds | QUANTITY | 0.98+ |
one single experiment | QUANTITY | 0.98+ |
single study | QUANTITY | 0.98+ |
first | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
over 60,000 times | QUANTITY | 0.98+ |
thousands | QUANTITY | 0.98+ |
aws | ORGANIZATION | 0.98+ |
2% | QUANTITY | 0.98+ |
one part | QUANTITY | 0.98+ |
two instance | QUANTITY | 0.97+ |
two major benefits | QUANTITY | 0.97+ |
one doctor | QUANTITY | 0.97+ |
two major | QUANTITY | 0.97+ |
several years later | DATE | 0.97+ |
today | DATE | 0.96+ |
19 aspects | QUANTITY | 0.96+ |
James | PERSON | 0.96+ |
Amazon | ORGANIZATION | 0.95+ |
AWS Public Sector Online | ORGANIZATION | 0.95+ |
Amazon Web | ORGANIZATION | 0.94+ |
coronavirus | OTHER | 0.93+ |
both women | QUANTITY | 0.93+ |
CRISPR | OTHER | 0.93+ |
second | QUANTITY | 0.92+ |
Ebola | OTHER | 0.91+ |
first thing | QUANTITY | 0.9+ |
20,000 human genes | QUANTITY | 0.9+ |
18 19 | OTHER | 0.9+ |
Western ire | OTHER | 0.89+ |
Conradi | ORGANIZATION | 0.89+ |
pandemic | EVENT | 0.89+ |
stew Minimum | PERSON | 0.88+ |
Kobe | OTHER | 0.88+ |
one data | QUANTITY | 0.86+ |
19 project | QUANTITY | 0.85+ |
pandemic Kobe 19 | EVENT | 0.82+ |
HIV | OTHER | 0.8+ |
So India | ORGANIZATION | 0.79+ |
19 | QUANTITY | 0.75+ |
half | QUANTITY | 0.74+ |
Public sector Summit | EVENT | 0.69+ |
past 10 years | DATE | 0.68+ |
double | QUANTITY | 0.64+ |
days | QUANTITY | 0.62+ |
months | QUANTITY | 0.59+ |
code 19 pandemic | EVENT | 0.59+ |
Jim | PERSON | 0.57+ |
years | QUANTITY | 0.57+ |
Cooley 19 | COMMERCIAL_ITEM | 0.49+ |
couple | QUANTITY | 0.45+ |
RDS | TITLE | 0.43+ |
Cube | PERSON | 0.42+ |
Breaking Analysis: Emerging Tech sees Notable Decline post Covid-19
>> Announcer: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> As you may recall, coming into the second part of 2019 we reported, based on ETR Survey data, that there was a narrowing of spending on emerging tech and an unplugging of a lot of legacy systems. This was really because people were going from experimentation into operationalizing their digital initiatives. When COVID hit, conventional wisdom suggested that there would be a flight to safety. Now, interestingly, we reported with Eric Bradley, based on one of the Venns, that a lot of CIOs were still experimenting with emerging vendors. But this was very anecdotal. Today, we have more data, fresh data, from the ETR Emerging Technology Study on private companies, which really does suggest that there's a notable decline in experimentation, and that's affecting emerging technology vendors. Hi, everybody, this is Dave Vellante, and welcome to this week's Wikibon Cube Insights, powered by ETR. Once again, Sagar Kadakia is joining us. Sagar is the Director of Research at ETR. Sagar, good to see you. Thanks for coming on. >> Good to see you again. Thanks for having me, Dave. >> So, it's really important to point out, this Emerging Tech Study that you guys do, it's different from your quarterly Technology Spending Intention Survey. Take us through the methodology. Guys, maybe you could bring up the first chart. And, Sagar, walk us through how you guys approach this. >> No problem. So, a lot of the viewers are used to seeing a lot of the results from the Technology Spending Intention Survey, or the TSIS, as we call it. That study, as the title says, it really tracks spending intentions on more pervasive vendors, right, Microsoft, AWS, as an example. What we're going to look at today is our Emerging Technology Study, which we conduct biannually, in May and November. This study is a little bit different. We ask CIOs around evaluations, awareness, planned evaluations, so think of this as pre-spend, right. So that's a major differentiator from the TSIS. That, and this study, really focuses on private emerging providers. We're really only focused on those really emerging private companies, say, like your Series B to Series G or H, whatever it may be, so, two big differences within those studies. And then today what we're really going to look at is the results from the Emerging Technology Study. Just a couple of quick things here. We had 811 CIOs participate, which represents about 380 billion in annual IT spend, so the results from this study matter. We had almost 75 Fortune 100s take it. So, again, we're really measuring how private emerging providers are doing in the largest organizations. And so today we're going to be reviewing notable sectors, but largely this survey tracks roughly 356 private technologies and frameworks. >> All right, guys, bring up the pie chart, the next slide. Now, Sagar, this is sort of a snapshot here, and it basically says that 44% of CIOs agree that COVID has decreased the organization's evaluation and utilization of emerging tech, despite what I mentioned, Eric Bradley's Venn, which suggested one CIO in particular said, "Hey, I always pick somebody in the lower left "of the magic quadrant." But, again, this is a static view. I know we have some other data, but take us through this, and how this compares to other surveys that you've done. >> No problem. So let's start with the high level takeaways. And I'll actually kind of get into to the point that Eric was debating, 'cause that point is true. It's just really how you kind of slice and dice the data to get to that. So, what you're looking at here, and what the overall takeaway from the Emerging Technology Study was, is, you know, you are going to see notable declines in POCs, of proof-of-concepts, any valuations because of COVID-19. Even though we had been communicating for quite some time, you know, the last few months, that there's increasing pressure for companies to further digitize with COVID-19, there are IT budget constraints. There is a huge pivot in IT resources towards supporting remote employees, a decrease in risk tolerance, and so that's why what you're seeing here is a rather notable number of CIOs, 44%, that said that they are decreasing their organization's evaluation and utilization of private emerging providers. So that is notable. >> Now, as you pointed out, you guys run this survey a couple of times a year. So now let's look at the time series. Guys, if you bring up the next chart. We can see how the sentiment has changed since last year. And, of course, we're isolating here on some of larger companies. So, take us through what this data means. >> No problem. So, how do we quantify what we just saw in the prior slide? We saw 44% of CIOs indicating that they are going to be decreasing their evaluations. But what exactly does that mean? We can pretty much determine that by looking at a lot of the data that we captured through our Emerging Technology Study. There's a lot going on in this slide, but I'll walk you through it. What you're looking at here is Fortune 1000 organizations, so we've really isolated the data to those organizations that matter. So, let's start with the teal, kind of green line first, because I think it's a little bit easier to understand. What you're looking at, Fortune 1000 evaluations, both planned and current, okay? And you're looking at a time series, one year ago and six months ago. So, two of the answer options that we provide CIOs in this survey, right, think about the survey as a grid, where you have seven answer options going horizontally, and then 300-plus vendors and technologies going vertically. For any given vendor, they can essentially indicate one of these options, two of them being on currently evaluating them or I plan to evaluate them in six months. So what you're looking at here is effectively the aggregate number, or the average number of Fortune 1000 evaluations. So if you look into May 2019, all the way on the left of that chart, that 24% roughly means that a quarter of selections made by Fortune 1000 of the survey, they selected plan to evaluate or currently evaluating. If you fast-forward six months, to the middle of the chart, November '19, it's roughly the same, one in four technologies that are Fortune 1000 selected, they indicated that I plan or am currently evaluating them. But now look at that big drop off going into May 2020, the 17%, right? So now one out of every six technologies, or one out of every selections that they made was an evaluation. So a very notable drop. And then if you look at the blue line, this is another answer option that we provided CIOs: I'm aware of the technology but I have no plans to evaluate. So this answer option essentially tracks awareness levels. If you look at the last six months, look at that big uptick from 44% to over 50%, right? So now, essentially one out of every two technologies, or private technologies that a CIO is aware of, they have no plans to evaluate. So this is going to have an impact on the general landscape, when we think about those private emerging providers. But there is one caveat, and, Dave, this is what you mentioned earlier, this is what Eric was talking about. The providers that are doing well are the ones that are work-from-home aligned. And so, just like a few years ago, we were really analyzing results based on are you cloud-native or are you Cloud-aligned, because those technologies are going to do the best, what we're seeing in the emerging space is now the same thing. Those emerging providers that enable organizations to maintain productivity for their employees, essentially allowing their employees to work remotely, those emerging providers are still doing well. And that is probably the second biggest takeaway from this study. >> So now what we're seeing here is this flight to perceive safety, which, to your point, Sagar, doesn't necessarily mean good news for all enterprise tech vendors, but certainly for those that are positioned for the work-from-home pivot. So now let's take a look at a couple of sectors. We'll start with information security. We've reported for years about how the perimeter's been broken down, and that more spend was going to shift from inside the moat to a distributed network, and that's clearly what's happened as a result of COVID. Guys, if you bring up the next chart. Sagar, you take us through this. >> No problem. And as you imagine, I think that the big theme here is zero trust. So, a couple of things here. And let me just explain this chart a little bit, because we're going to be going through a couple of these. What you're seeing on the X-axis here, is this is effectively what we're classifying as near term growth opportunity from all customers. The way we measure that effectively is we look at all the evaluations, current evaluations, planned evaluations, we look at people who are evaluated and plan to utilize these vendors. The more indications you get on that the more to the top right you're going to be. The more indications you get around I'm aware of but I don't plan to evaluate, or I'm replacing this early-stage vendor, the further down and on the left you're going to be. So, on the X-axis you have near term growth opportunity from all customers, and on the Y-axis you have near term growth opportunity from, really, the biggest shops in the world, your Global 2000, your Forbes Private 225, like Cargill, as an example, and then, of course, your federal agencies. So you really want to be positioned up and to the right here. So, the big takeaway here is zero trust. So, just a couple of things on this slide when we think about zero trust. As organizations accelerate their Cloud and Saas spend because of COVID-19, and, you know, what we were talking about earlier, Dave, remote work becomes the new normal, that perimeter security approach is losing appeal, because the perimeter's less defined, right? Apps and data are increasingly being stored in the Cloud. That, and employees are working remotely from everywhere, and they're accessing all of these items. And so what we're seeing now is a big move into zero trust. So, if we look at that chart again, what you're going to see in that upper right quadrant are a lot of identity and access management players. And look at the bifurcation in general. This is what we were talking about earlier in terms of the landscape not doing well. Most security vendors are in that red area, you know, in the middle to the bottom. But if you look at the top right, what are you seeing here? Unify ID, Auth0, WSO2, right, all identity and access management players. These are critical in your zero trust approach, and this is one of the few area where we are seeing upticks. You also see here BitSight, Lucideus. So that's going to be security assessment. You're seeing VECTRA and Netskope and Darktrace, and a few others here. And Cloud Security and IDPS, Intrusion Detection and Prevention System. So, very few sectors are seeing an uptick, very few security sectors actually look pretty good, based on opportunities that are coming. But, essentially, all of them are in that work-from-home aligned security stack, so to speak. >> Right, and of course, as we know, as we've been reporting, buyers have options, from both established companies and these emerging companies that are public, Okta, CrowdStrike, Zscaler. We've seen the work-from-home pivot benefit those guys, but even Palo Alto Networks, even CISCO, I asked (other speaker drowns out speech) last week, I said, "Hey, what about this pivot to work from home? "What about this zero trust?" And he said, "Look, the reality is, yes, "a big part of our portfolio is exposed "to that traditional infrastructure, "but we have options for zero trust as well." So, from a buyer's standpoint, that perceived flight to safety, you have a lot of established vendors, and that clearly is showing up in your data. Now, the other sector that we want to talk about is database. We've been reporting a lot on database, data warehouse. So, why don't you take us through the next graphic here, if you would. >> Sagar: No problem. So, our theme here is that Snowflake is really separating itself from the pack, and, again, you can see that here. Private database and data warehousing vendors really continue to impact a lot of their public peers, and Snowflake is leading the way. We expect Snowflake to gain momentum in the next few years. And, look, there's some rumors that IPOing soon. And so when we think about that set-up, we like it, because as organizations transition away from hybrid Cloud architectures to 100% or near-100% public Cloud, Snowflake is really going to benefit. So they look good, their data stacks look pretty good, right, that's resiliency, redundancy across data centers. So we kind of like them as well. Redis Labs bring a DB and they look pretty good here on the opportunity side, but we are seeing a little bit of churn, so I think probably Snowflake and DataStax are probably our two favorites here. And again, when you think about Snowflake, we continue to think more pervasive vendors, like Paradata and Cloudera, and some of the other larger database firms, they're going to continue seeing wallet and market share losses due to some of these emerging providers. >> Yeah. If you could just keep that slide up for a second, I would point out, in many ways Snowflake is kind of a safer bet, you know, we talk about flight to safety, because they're well-funded, they're established. You can go from zero to Snowflake very quickly, that's sort of their mantra, if you will. But I want to point out and recognize that it is somewhat oranges and tangerines here, Snowflake being an analytical database. You take MariaDB, for instance, I look at that, anyway, as relational and operational. And then you mentioned DataStax. I would say Couchbase, Redis Labs, Aerospike. Cockroach is really a... EValue Store. You've got some non-relational databases in there. But we're looking at the entire sector of databases, which has become a really interesting market. But again, some of those established players are going to do very well, and I would put Snowflake on that cusp. As you pointed out, Bloomberg broke the story, I think last week, that they were contemplating an IPO, which we've known for a while. >> Yeah. And just one last thing on that. We do like some of the more pervasive players, right. Obviously, AWS, all their products, Redshift and DynamoDB. Microsoft looks really good. It's just really some of the other legacy ones, like the Teradatas, the Oracles, the Hadoops, right, that we are going to be impacted. And so the claw providers look really good. >> So, the last decade has really brought forth this whole notion of DevOps, infrastructure as code, the whole API economy. And that's the piece we want to jump into now. And there are some real stand-outs here, you know, despite the early data that we showed you, where CIOs are less prone to look at emerging vendors. There are some, for instance, if you bring up the next chart, guys, like Hashi, that really are standing out, aren't they? >> That's right, Dave. So, again, what you're seeing here is you're seeing that bifurcation that we were talking about earlier. There are a lot of infrastructure software vendors that are not positioned well, but if you look at the ones at the top right that are positioned well... We have two kind of things on here, starting with infrastructure automation. We think a winner here is emerging with Terraform. Look all the way up to the right, how well-positioned they are, how many opportunities they're getting. And for the second straight survey now, Terraform is leading along their peers, Chef, Puppet, SaltStack. And they're leading their peers in so many different categories, notably on allocating more spend, which is obviously very important. For Chef, Puppet and SaltStack, which you can see a little bit below, probably a little bit higher than the middle, we are seeing some elevator churn levels. And so, really, Terraform looks like they're kind of separating themselves. And we've got this great quote from the CIO just a few months ago, on why Terraform is likely pulling away, and I'll read it out here quickly. "The Terraform tool creates "an entire infrastructure in a box. "Unlike vendors that use procedural languages, "like Ants, Bull and Chef, "it will show you the infrastructure "in the way you want it to be. "You don't have to worry about "the things that happen underneath." I know some companies where you can put your entire Amazon infrastructure through Terraform. If Amazon disappears, if your availability drops, load balancers, RDS, everything, you just run Terraform and everything will be created in 10 to 15 minutes. So that shows you the power of Terraform and why we think it's ranked better than some of the other vendors. >> Yeah, I think that really does sum it up. And, actually, guys, if you don't mind bringing that chart back up again. So, a point out, so, Mitchell Hashimoto, Hashi, really, I believe I'm correct, talking to Stu about this a little bit, he sort of led the Terraform project, which is an Open Source project, and, to your point, very easy to deploy. Chef, Puppet, Salt, they were largely disrupted by Cloud, because they're designed to automate deployment largely on-prem and DevOps, and now Terraform sort of packages everything up into a platform. So, Hashi actually makes money, and you'll see it on this slide, and things, Vault, which is kind of their security play. You see GitLab on here. That's really application tooling to deploy code. You see Docker containers, you know, Docker, really all about open source, and they've had great adoption, Docker's challenge has always been monetization. You see Turbonomic on here, which is application resource management. You can't go too deep on these things, but it's pretty deep within this sector. But we are comparing different types of companies, but just to give you a sense as to where the momentum is. All right, let's wrap here. So maybe some final thoughts, Sagar, on the Emerging Technology Study, and then what we can expect in the coming month here, on the update in the Technology Spending Intention Study, please. >> Yeah, no problem. One last thing on the zero trust side that has been a big issue that we didn't get to cover, is VPN spend. Our data is pointing that, yes, even though VPN spend did increase the last few months because of remote work, we actually think that people are going to move away from that as they move onto zero trust. So just one last point on that, just in terms of overall thoughts, you know, again, as we cover it, you can see how bifurcated all these spaces are. Really, if we were to go sector by sector by sector, right, storage and block chain and MLAI and all that stuff, you would see there's a few or maybe one or two vendors doing well, and the majority of vendors are not seeing as many opportunities. And so, again, are you work-from-home aligned? Are you the best vendor of all the other emerging providers? And if you fit those two criteria then you will continue seeing POCs and evaluations. And if you don't fit that criteria, unfortunately, you're going to see less opportunities. So think that's really the big takeaway on that. And then, just in terms of next steps, we're already transitioning now to our next Technology Spending Intention Survey. That launched last week. And so, again, we're going to start getting a feel for how CIOs are spending in 2H-20, right, so, for the back half of the year. And our question changes a little bit. We ask them, "How do you plan on spending in the back half year "versus how you actually spent "in the first half of the year, or 1H-20?" So, we're kind of, tighten the screw, so to speak, and really getting an idea of what's spend going to look like in the back half, and we're also going to get some updates as it relates to budget impacts from COVID-19, as well as how vendor-relationships have changed, as well as business impacts, like layoffs and furloughs, and all that stuff. So we have a tremendous amount of data that's going to be coming in the next few weeks, and it should really prepare us for what to see over the summer and into the fall. >> Yeah, very excited, Sagar, to see that. I just wanted to double down on what you said about changes in networking. We've reported with you guys on NPLS networks, shifting to SD-WAN. But even VPN and SD-WAN are being called into question as the internet becomes the new private network. And so lots of changes there. And again, very excited to see updated data, return of post-COVID, as we exit this isolation economy. Really want to point out to folks that this is not a snapshot survey, right? This is an ongoing exercise that ETR runs, and grateful for our partnership with you guys. Check out ETR.plus, that's the ETR website. I publish weekly on Wikibon.com and SiliconANGLE.com. Sagar, thanks so much for coming on. Once again, great to have you. >> Thank you so much, for having me, Dave. I really appreciate it, as always. >> And thank you for watching this episode of theCube Insights, powered by ETR. This Dave Vellante. We'll see you next time. (gentle music)
SUMMARY :
leaders all around the world, Sagar is the Director of Research at ETR. Good to see you again. So, it's really important to point out, So, a lot of the viewers that COVID has decreased the of slice and dice the data So now let's look at the time series. by looking at a lot of the data is this flight to perceive safety, and on the Y-axis you have Now, the other sector that we and Snowflake is leading the way. And then you mentioned DataStax. And so the claw providers And that's the piece we "in the way you want it to be. but just to give you a sense and the majority of vendors are not seeing on what you said about Thank you so much, for having me, Dave. And thank you for watching this episode
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Sagar | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
May 2019 | DATE | 0.99+ |
CISCO | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
May 2020 | DATE | 0.99+ |
Eric Bradley | PERSON | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
Terraform | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Mitchell Hashimoto | PERSON | 0.99+ |
100% | QUANTITY | 0.99+ |
Zscaler | ORGANIZATION | 0.99+ |
one | QUANTITY | 0.99+ |
44% | QUANTITY | 0.99+ |
ETR | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
last year | DATE | 0.99+ |
November '19 | DATE | 0.99+ |
Palo Alto Networks | ORGANIZATION | 0.99+ |
24% | QUANTITY | 0.99+ |
10 | QUANTITY | 0.99+ |
17% | QUANTITY | 0.99+ |
May | DATE | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
last week | DATE | 0.99+ |
Redis Labs | ORGANIZATION | 0.99+ |
Couchbase | ORGANIZATION | 0.99+ |
Okta | ORGANIZATION | 0.99+ |
Aerospike | ORGANIZATION | 0.99+ |
COVID-19 | OTHER | 0.99+ |
Paradata | ORGANIZATION | 0.99+ |
811 CIOs | QUANTITY | 0.99+ |
Hashi | PERSON | 0.99+ |
CrowdStrike | ORGANIZATION | 0.99+ |
one caveat | QUANTITY | 0.99+ |
November | DATE | 0.99+ |
two criteria | QUANTITY | 0.99+ |
Series G | OTHER | 0.99+ |
Boston | LOCATION | 0.99+ |
X-axis | ORGANIZATION | 0.99+ |
today | DATE | 0.99+ |
both | QUANTITY | 0.99+ |
Bloomberg | ORGANIZATION | 0.99+ |
Cloudera | ORGANIZATION | 0.99+ |
DataStax | ORGANIZATION | 0.99+ |
two kind | QUANTITY | 0.99+ |
six months ago | DATE | 0.99+ |
15 minutes | QUANTITY | 0.99+ |
Today | DATE | 0.99+ |
six months | QUANTITY | 0.98+ |
Sagar Kadakia | PERSON | 0.98+ |
about 380 billion | QUANTITY | 0.98+ |
Oracles | ORGANIZATION | 0.98+ |
one year ago | DATE | 0.98+ |
MariaDB | TITLE | 0.98+ |
over 50% | QUANTITY | 0.98+ |
zero trust | QUANTITY | 0.98+ |
two vendors | QUANTITY | 0.98+ |
Series B | OTHER | 0.98+ |
first chart | QUANTITY | 0.98+ |
Ryan Rose, Cisco DevNet | Cisco Live EU Barcelona 2020
(upbeat music) >> Announcer: Live from Barcelona, Spain, it's theCUBE. Covering Cisco Live 2020. Brought to you by Cisco and it's ecosystem partners. >> Welcome back to Barcelona everybody. This is theCUBE, the leader in live tech coverage. We go out to the events and extract the signal from the noise. My name is Dave Vellante, I'm here with my co-hosts Stu Miniman, John Furrier is also in the house. We're here with Ryan Rose, Technical Program Manager at Cisco Devnet. Ryan, great to see you. What's goin' on? >> Hey, thank you so much. I'm really glad to be here. >> You know, we have a soft spot in our heart, for Devnet, because of course, we're in the Devnet zone, Devnet is the reason why theCUBE originally came to Cisco Live, and so it's been awesome seeing the evolution and the ascendancy of DevNet. It's now mainstream, you get a lot of love on the main stage, and really, it is the linchpin of the next generation of training and certifications for the engineers, the network engineers. So, tell us, give us a little quick history of Devnet, You've been here since the beginning, you remember the first Devnet. >> Oh yeah, in fact, so during my time at Cisco, like I was originally in learning at Cisco and being able to move over into Devnet, but I remember the very first Devnet experience that I had, and it started back when Devnet started about five years ago now. It was at Cisco Live San Francisco. At the time, they had split us across two streets, you know, they were trying to put, Cisco was trying to put a lot of activities going on in San Francisco. And they put Devnet in this walkway that was next to the Moscone Center, and, inside the Moscone Center. And when you went in there, it was packed. I mean, it was just shoulder to shoulder. Everyone there was just so excited because everyone was trying to learn, like, what is Devnet? And now, to look back on that, it's just so crazy how people have just been so quick to embrace the Devnet mission, the Devnet philosophy. Really getting into automation and programmability. And it's so exciting for us every year to be coming back, seeing you at theCUBE, being here in the Devnet zone, and being able to help people continue on that journey. Yeah, it's been great. >> Yeah, so, and we got some hard news to talk about today, I said in my breaking analysis this week that Cisco, when it rose, it pulled a number of levers, and one of them was really creating the role of the Network Engineer, the CCIE, and the certifications. People have really understood the challenges of what Stu calls the dark art of networking. And now you're bringing that sort of hardware certification to software, so let's get right into the news. What are you guys announcing today, and why is this important? >> Thank you so much for letting us talk about this because I think everybody has been really excited since Chuck came out in San Diego, announced the Devnet certification, said they were going to be, the new exams were going to be available February 24th, so we're about a month out from there. And to help people get started, we just announced here, about two big new offerings. The first is our Devnet Associate Fundamentals Training. Which we'll be launching on February 21st, so that way we can help individuals that are looking to start building up the skills and the exam readiness that they need to pursue a Devnet Associate Certification. We also announced our new Devnet Study Group Platform. Because we don't want people to just find the tools and the training that they need at Devnet, we want them to find each other. We want them to not just build together, but learn together. So we will now have a brand new Devnet Study Group Platform to help people have that type of interactivity. >> Ryan, I'm curious if you have much visibility into who's going to be taking these. You know, how many of them are the ones that, are the NetVets, the CCIE's that have done this year after year, and how many are new? >> Oh, I will tell you right now, we are actually getting this really wide and diverse audience, in fact, in the Devnet zone, we are providing a presentation on getting ready for Devnet certification four times a day, and it is packed every time we do it. And the audience is networking engineers, veteran networking engineers. When we ask people in the crowd how many of you have certifications, how many of you are CCIE's? We get a wide variety of CCIE's. This morning, we had a crew of software developers. So, we are getting people that are coming from kind of, all job roles, at all stages in their career. What they're embracing is that Devnet philosophy, around coding, around automation. They want to bring those practices back, whether that's DevOps, whether that's bringing a greater understanding of programmability, and so we're actually getting everyone, whether again, they're veterans or brand new. >> Yep, now I love that, because about 10 years ago there was this big movement, and they said, network engineers, your future is miserable, you all need to learn to decode, throw out what you learned, and fast forward to today, there's multiple paths to get there. As you were talking about, there's diverse backgrounds, there's lots of ways to be relevant to automation, of course, is hugely important. Coding is a major piece of it, but it's not, forget everything that you knew, it's how everything all works together. >> Yeah, I completely agree. I feel like, especially because the Devnet certifications aren't just the, are only one part of the launch on February 24th. In fact, the entire certification portfolio, and I know you're going to have other Cisco leaders on to talk about this, that is also being updated and launched on February 24th. And what I think you're going to see here is that flexibility that is in the program now, where you can actually have elements of automation baked into that network engineering journey. So you can still have the elements that people have been focusing on and building upon, except now you can stack on these new skills as you go. >> So, if I go back 10 years, maybe even a little bit more, but certainly 10 years ago, people were reticent to embrace automation. You know, you sort of alluded to that Stu, but now in this day and age, automation is fundamental. You can't scale without automation. And so the Devnet zone is really about taking beyond that existing skill set, going to the next level. Okay, so if you think about the network engineer and the training that they've gotten in the past, to deploy, manage, and optimize networks, automation comes in, simplifies all that. How do you describe what the future looks like for that engineer that's been Devnet certified? What are they doing? >> Oh, I think that now it's like, it opens up a brand new horizon of tasks and even efficiencies. New things that people have yet to even, or new job roles that even starting to emerge. A really good example, and one that we even talked about here at the Devnet zone, is the DevSecOps engineer, or the SecDevOps engineer. It's not that, and Susie has even talked about this as well too, Susie Wee, who leads Devnet. It's that jobs are changing, and roles are expanding, and so rather than just having this opportunity where you're looking at supporting a network or acting as a network administrator, now with automation, to your point, we actually can expand the opportunities of the roles themselves, and really open up things like, maybe you want to add those security automation elements, maybe you're interested in adding the collaboration automation elements, but whatever you are looking to do, the way that the program is built, post February 24th of 2020, you're able to actually have the opportunity to add in those skill validation exams, really build upon where you want to go. So I would say the horizon is wide and bright. >> So, to carry this up further, my question is, so the lines are blurring between, you know, Dev and Ops, right, and then, so a network engineer is going to become more Dev oriented, do you see them actually either contributing to or, certainly contributing to, but actually developing apps, say for instance, for the Edge? Maybe you can talk about that a little bit. >> Well, we are actually encouraging, as we have more and more people join the Devnet community, we actually have two elements, two exchanges, our automation exchange and our code exchange, to really help people as they're moving through that. We're already starting to see that learners, individuals, are coming through Devnet, making that change themselves, and actually contributing code to our code exchange, but also adding use cases to our automation exchange. So that way they're able to show not only how they're implementing these cases, buy why they're doing it. And the types of business outcomes that they're achieving. So that's a practice that has already started to take off. And I think certifications and things like the automation exchange, they go hand in hand, building the skills, and then adding to the program. >> Well, you hear in the keynote today, all the talk about bringing IT and OT together. Again, part of that, I've always said that the edge is going to be won by developers. Because critical infrastructure needs to be secured. And, you know, developers, the DevSecOps role, and I think this crowd is actually going to be an important lever in terms of bringing those two worlds together, your thoughts on that? >> Yeah, I actually think that that bridge is something that everyone is crossing right now. And, in fact, that's one of the motivations behind the updates to the certification portfolio. In fact, you'll find that we have parts of the portfolio that are shared between the hardware side and the software side. So that way we can have people as they're making that transition, as they're starting to move into that world, that larger world of network automation, we're actually having it be more of a clear journey for them, so they're able to work that into their own certification pouch. And I would say that these people that are here in the Devnet zone, they're the pioneers. They're the ones that are out there on that edge that are doing that exploration and building these new things, these new worlds that we are going to start experiencing in automation. >> And I guess Stu, it goes without saying, but it's worth saying, this is really all about programmable infrastructure, infrastructurous code, bringing the cloud operating model to your data, to your infrastructure, wherever it lives, right? >> Yeah, so Ryan, one of the things that struck us is not only is there so much enthusiasm, but the breadth of the offering here, everything from, here's some cool Meraki IOT things, to you, you talked about security, automation sprinkled throughout, can you just remind our audience a little bit as people get through the certifications, you know, what are some of the PaaS that they have for different parts of the portfolio? >> Oh, absolutely, so the certification journey that we have right now within Devnet, we actually align it to all of our five major technology tracks right now, so there are pathways within the portfolio around enterprise networking, security, collaboration, service provider, and also data center. But we also have pathways, as well, around application buildouts in IOT, and Edge computing, WebEx, and also, we have an entire practice that's now just dedicated to DevOps. And because DevOps is a concentration that can be, that is a horizontal throughout all of the certifications, this is something that you can now add to your journey. So we can actually have people here, and in fact, we've been answering this question more and more, how do I become more proficient at DevOps? A part of that is now in the certification journey. And so we've done that here. >> You should mention that we're in the IOT takeover right now in the Devnet zone. >> So Ryan, what about the partner ecosystem, talk to us about how, what impact do they have, how much of the ecosystem is getting involved in certifications too. >> Oh, well, I will say that we've actually, we've brought in a lot of people to help us develop this program initially. And I know that you're going to have additional Devnet leaders, they're going to be coming on, talking about partner ecosystems, so I don't want to take anything away from them, but I will say this. There is a lot of excitement because of the fact that when we brought the Devnet certifications out and what that would mean, for example, the new Devnet partner specialization. This is something that has been embraced by our partner community, but it's been embraced by the developers, whether they're our partner developers, they're our customers, or our networking engineers. Now that they have these as options for them to pursue, we have only been met with like positive enthusiastic engagement. And in fact, even now, we're starting to see a lot of people that aren't asking anymore, in fact, going back to San Francisco, when everyone was saying, what is Devnet, now they're asking how do I Devnet. And it is so great to be able to come and show them not only the certifications, but the associate fundamentals training, these new Devnet study group platforms that we have to show them you know the what now, here's the how. >> So, how challenging, cus I was talking to a lady on the floor yesterday, and we were chatting, and I said, "you were CCIE", she goes, "Oh, it's my dream, you know, I'm working my way there, it's very challenging, but I'm doing really well". Similar challenges, presumably, to get Devnet certified? >> Yes. >> How trivial. >> No, it is not trivial. It is a certification in the exact same hallmark that we hold CCNA, CCNP, and CCIE. The Devnet certifications are just as rigorous. And so we are giving people a lot of tools to help them get ready. And in fact, one of the things that we've done to help people on this journey take the initial steps, is we are not holding back any secrets. We've hosted every one of our exam topics for all 10 of our Devnet exams at developer.cisco.com/certification. There you can find out the exact skills we'll be testing you on for all of those exams. But we went a step further. We found every Devnet learning lab that you can take today for free to start getting ready on that exam journey. And so for every single exam, you can find training that you can engage with. So as people are starting this journey, if they want to get ready and just build their skills, especially if they're starting at zero, for example, if they think python is just a snake, we have a learning lab for them. So we have an entire plan that's built so they can start getting ready, and advance and move forward for that certification process. >> What should a college kid do to get prepared for this? If he or she wants to get into IT, become a network engineer, or Devnet is interested in them, what should they take, what courses should they be interested in? >> Oh man, that is a great question. We talk to a lot of people that are in a CS program, or computer science program, and so many young people that are moving through college now, they're already in the habit of programming. They've been working on things, they might have even been programming their own video games, or adding something to the new Mario games where you can actually build your own levels. What I would recommend to every young person, and in fact, to anyone that's on this journey, come to Devnet. We have an incredible amount of tools. At developer.cisco.com, just by signing up, you get access, not only to training that can take you from zero to coding, to making your first API call, to finding our Sandboxes, where you can take that theoretical knowledge and put it into practice using Cisco hardware and tools, and then you can also find use cases there too. I think everyone is often just looking for where can I start, how do I start. Devnet is gone so far as to even have a Start Now area on the Devnet main page. So when you come to Devnet, we're always trying to meet you where you're at. If you're a veteran networking engineer, if you're a veteran developer, or if you're just starting out, you're a college student, we've got a plan for you to be able to take. >> Awesome, right, check it out folks, you know, career builder, Cisco's always been renowned at that. Thanks so much for coming on theCUBE, it's great to have you. >> Oh, hey, thank you so much for having me. >> You're welcome, all right, keep it right there buddy, we'll be back with our next guest from Cisco Live in Barcelona. You're watching theCUBE. (upbeat music)
SUMMARY :
Brought to you by Cisco and it's ecosystem partners. and extract the signal from the noise. I'm really glad to be here. Devnet is the reason why theCUBE originally and being able to help people continue on that journey. of the Network Engineer, the CCIE, and the certifications. And to help people get started, we just announced here, are the NetVets, the CCIE's that have done this audience, in fact, in the Devnet zone, but it's not, forget everything that you knew, is that flexibility that is in the program now, And so the Devnet zone have the opportunity to add in those skill validation so the lines are blurring between, you know, building the skills, and then adding to the program. and I think this crowd is actually going to be So that way we can have people as they're A part of that is now in the certification journey. right now in the Devnet zone. how much of the ecosystem is getting involved platforms that we have to show them you know the what on the floor yesterday, and we were chatting, And in fact, one of the things that we've done to finding our Sandboxes, where you can take it's great to have you. from Cisco Live in Barcelona.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dave Vellante | PERSON | 0.99+ |
Susie Wee | PERSON | 0.99+ |
Ryan | PERSON | 0.99+ |
Susie | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
February 21st | DATE | 0.99+ |
February 24th | DATE | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Ryan Rose | PERSON | 0.99+ |
San Diego | LOCATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
Moscone Center | LOCATION | 0.99+ |
developer.cisco.com/certification | OTHER | 0.99+ |
two elements | QUANTITY | 0.99+ |
February 24th of 2020 | DATE | 0.99+ |
yesterday | DATE | 0.99+ |
Barcelona | LOCATION | 0.99+ |
two exchanges | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
one | QUANTITY | 0.99+ |
first | QUANTITY | 0.99+ |
Devnet | ORGANIZATION | 0.99+ |
Cisco Devnet | ORGANIZATION | 0.99+ |
this week | DATE | 0.99+ |
python | TITLE | 0.98+ |
10 years | QUANTITY | 0.98+ |
DevOps | TITLE | 0.98+ |
This morning | DATE | 0.98+ |
Chuck | PERSON | 0.98+ |
Barcelona, Spain | LOCATION | 0.98+ |
10 years ago | DATE | 0.98+ |
developer.cisco.com | OTHER | 0.97+ |
two streets | QUANTITY | 0.97+ |
two worlds | QUANTITY | 0.97+ |
Mario | TITLE | 0.96+ |
10 | QUANTITY | 0.96+ |
Cisco DevNet | ORGANIZATION | 0.96+ |
Devnet | LOCATION | 0.95+ |
zero | QUANTITY | 0.93+ |
Stu | PERSON | 0.93+ |
about 10 years ago | DATE | 0.93+ |
Devnet zone | ORGANIZATION | 0.91+ |
four times a day | QUANTITY | 0.91+ |
five major technology tracks | QUANTITY | 0.88+ |
two big new offerings | QUANTITY | 0.87+ |
theCUBE | ORGANIZATION | 0.85+ |
IOT | TITLE | 0.85+ |
Devnet Study Group Platform | TITLE | 0.84+ |
Cisco Live | EVENT | 0.83+ |
Devnet Study Group Platform | TITLE | 0.82+ |
about five years ago | DATE | 0.8+ |
Devnet | TITLE | 0.8+ |
Abby Kearns, Cloud Foundry Foundation | CUBEConversation, March 2019
(funky music) >> From our studios in the heart of Silicon Valley, Palo Alto, California. This is a CUBEConversation. >> Everyone, welcome to this CUBEConversation here in Palo Alto, California. I'm John Furrier, host of theCUBE. Here in theCUBE Studios here with Abby Kearns, Executive Director, Cloud Foundry Foundation, CUBE alumni. Great to see you again. I think this is your eighth time on theCUBE chatting. Always great to get the update. Thanks for spending the time. >> My pleasure, and it's a joy to drive down to your actual studios. >> (laughs) This is where all happens Wednesdays and Thursdays when we're not on the road doing CUBE events. I think we'll have over 120 events this year. We'll certainly see you at a bulk of them. Cloud Foundry, give us the update. Yeah, we took 'em joking before we came on camera. Boy this cloud thing is kind of working out. I mean, I think IBM CEO calls it chapter two. I'm like, we're still in chapter one, two, three? Give us the update Cloud Foundry, obviously open-source. Things are rocking. Give us the update. >> I do feel like we're moving into chapter two. Chapter one was a really long chapter. (laughs) It spanned about 10 years. But I do think we're starting to see actual growth and actual usage. And I think a lot of people are like, no, there's actually been usage for a while. Me, no no no not on a real scale. And we haven't seen any of the workloads for organizations running at massive scale. At the scale that we know that they can run at. But we're starting to see interesting scale. Like 40, 50 thousand applications, you know. Billions of transactions now passing through. A lot of cloud native technology. So we're starting to see real interesting volume. And so that's going to actually dictate how the next five years unfold because scale is going to dictate how the technologies unfold, how they're used. And they're going to feed into this virtuous cycle of how the technologies unfold, and how they're going to be used, which feedback into how enterprises are using them, and you know, and the cycle continues. >> Give us the update on the foundation. What's going on with the foundation, status, momentum, clouds out there. Obviously open-source continues to drive however we saw a lot of acquisitions and fundings around people who are using open-source to build a business around that. >> I love that. >> Your favorite conversation. But, I mean you know the technical challenges with open-source allow for technical challenges but also the people side is they're learning. What's the update with the foundation? >> Well open-source is really tricky, and I think there is a lot of people that are really enthusiastic as it is a because model. I mean last year 2018 was a pretty substantial year for open-source. The year ended with Red Hat's acquisition by IBM. One of their biggest acquisitions, $34 billion. But we saw in December alone, we also saw Heptio get picked up by VMware which is a services company which is really based on Kubernetes on an open-source technology. But we also saw HashiCorp get another round of funding. And then earlier in the year, Pivotal IPO'd. And so if you look at 2018 at a bigger level, you saw a lot of momentum around open-source and how it's actually being commercialized. Now you and I were talking a little bit prior and I'm a big believer that open-source has the potential and is going to change fundamentally how technology is used and consumed. But at the end of the day for the commercial aspects of it you still have to have a business around that. And I think there's always going to be that fine line. And that line is actually always be going to be moving because how you provide value in, around, and on top of open-source, has to evolve with both the market and your customer needs. >> Yeah and where you are on that wave, whatever wave that is, is it an early wave or is it more mature so the metrization certainly matters? >> Sure. >> You could be early on setting the table or if it's growing when there's some complexity. So it kind of depends, it's always that depends is it the cloud air or is it the Red Hat? There's different approaches and people kind of get confused on that and your answer to that is just pick one that works for, that's a good business model. Don't get hung up on kind of the playbook if you will, is that kind of what you're saying? >> Well I think we're seeing this play out this week with AWS's Elastic announcement, right? And there's been a lot of conversation around how do we think about open-source. Who has access to it? Who has the right to commercialize it? What does commercialization look like? And I think, I've always cautioned people that are proceeding down the path to open-source is really be thoughtful about why you're doing open-source. Like what is your, what are you hoping to achieve? There's a lot of potential that comes with open sourcing your technology. You gain ecosystem, community, momentum. There's a lot of positives that come with that but there's also a lot of work that comes with that too. Managing your community. Managing a much more varied share of stakeholders and people that are going to have thoughts and opinions around how that technology unfolds. And then of course it's because it's open-sources there's more opportunity for people to use that and build their own ideas and their own solutions on top of that. And potentially their own commercial products. And so really figuring out that fine line and what works best for your business. What works best for the technology. And then what your hopes are at the end of the day with that. >> And what are some of the momentums or points for the Foundation, with Cloud Foundry, obviously seeing Pivotal went public, you mentioned that VMWare, I talk to Michael Dell all the time, the numbers are great coming from that operation. Pat Kelson near the Amazon deal think that clear and where VMWare was. But still you have a lot more cloud, multi-cloud conversations happening than ever before. >> Well, for sure I mean at Cloud Foundry, we've actually been talking about multicloud since 2016. We saw that trend coming based on user behavior. And now you've seen everyone is multicloud, even the public clouds are multicloud. >> I think you had the first study out on that, too on multicloud. We did. We were we were firm believers in multicloud. Last year we've actually moved more broadly to multi-platform. Because at the end of the day there isn't one technology that solves all of these problems. Multicloud is you know is pervasive and at the end of the day multicloud means a lot of different things to a lot of people. But for many enterprises what it gives is optionality. You don't want to be locked into a single provider. You don't want to be locked into a single cloud or single solution because you know if I'm an enterprise, I don't know where I'm going to be in five years. Do I want to make a five year or a 10 year or a 20 year commitment to a single infrastructure provider when I don't know what my needs are going to be. So having that optionality and also being able to use the best of what clouds can provide, the best services, the best outcomes. And so for me, I want to have that optionality. So I'm going to look at technologies that give me that portability and then I'm going to use that to allow me to choose the best cloud that I need for right now for my business and maybe again a different one in the future. >> I want to get your thoughts on this. I just doubled down on this conversation because I think there's two things going on that I'm saying we'll get your reaction to. One is I've heard things like pick the right cloud for the right workload and I heard analogies. Hey, if you got an airplane you need to have two engines. You have one engine if it works for that plane, but your whole fleet of planes could be other clouds. So, pick the right cloud for the right workload. Meaning workload is defined spec. >> Yeah. >> I've also heard that the people side of the equation, where people are behaving like they are comfortable with API's tooling is potentially a lock-in, kind of by default. Not a technical lock-in, but people are comfortable with the API's and the tooling. >> Yeah. >> And the workloads need a certain cloud. Then maybe that cloud would be it. That's not saying pick that cloud for the entire company. Right, so certainly that the trend seems to be coming from a lot of people in the news saying hey, this whole sole-cloud, multi-cloud thing argument really isn't about one cloud vs. multiple clouds. It's workload cloud for the use case in the tooling, if it fits and the people are there to do it. Then you can still have other clouds and that's in the multi-cloud architecture. So is that real? What's your thoughts on that? >> Let's dissect that 'cause I think that's actually solving for two different outcomes. Like one multi-cloud for optionality's purpose and workload specific. I think it's a great one. There's a lot of services that are native to certain clouds that maybe you really would like to get greater access to. And so I think you're going to choose the best. You know that's going to drive your workload. Now also factoring in that you know you're going to have a much more mediated access to cloud based on what people are comfortable with. I do think it's at some point as an organization you want to have a better control over that. You know historically over the last decade what we've seen. Shadow IT really dictates your Cloud spend right. You know everyone's got a credit card. I got I've got access to AWS. >> And they got most of that business. Amazon did. >> Yes and that served them quite well. If I am an organization that's trying to digitally transform, I'm also trying to get a better handle on what we're spending, how we're spending it and frankly, now if I have compliance requirements, where's my data? These are going to be important questions for you when you're starting to run production workloads at scale on multiple clouds and so, I predict we're going to see a lot more tension there in internal organizations. Like, hey I'd love for you to use cloud, you know? Where this no longer needs to be a shadow thing, but let's figure out a way to do it that's strategically and intentional versus just random pockets. Choosing to do cloud because of the workflow that they like. >> Well you bring up a good point. The cost thing was never a problem, but then you have sprawl and you realize there's a cost to Optimizer component which means you might be overpaying because as you think about the system aspects, you got networking and you got Cloud management factors. So you start as you get into that Shadow IT expansion. You got to realize, wait a minute, I'm still spending a lot of cash here. >> This adds up really really quickly. I mean, I think the information piece a couple weeks ago where they talked about the Pinterest bill, this stuff, it starts adding up. And for organizations, this is like not just thousands of dollars. It's now hundreds of thousands of dollars. If not you know, tens of millions of dollars. And so, if I'm trying to figure out ways to optimize my business and my scale, I'm going to look at that because that is not an insignificant amount of money. And so if I'm in it, that's money that could be better invested in more developers, better outcomes, a better alignment with my business, then that's where I want to spend my time and money, and so, I'm going to spend more time being really thoughtful about what clouds we're using, what infrastructure we're using, and the tools we're using to allow us to have that optionality. >> So you would agree with the statement if I said, generally, multi-cloud is here, it already exists. >> Yes. >> And that multi-cloud architecture thinking is really the conversation that needs to be had. Not so much cloud selection, per say. It's not a mutually exclusive situation. Meaning, I'm not all in on Amazon. I'm going to have clouds plural? >> Well, yeah you are. Like we have already seen as of early last year over half of our users. Which right now over half the Fortune 500 are multi-cloud already, and that number has gone up since last year I'm for sure. Some workloads were on-prem and some are in a public cloud. Be it GCP, AWS, Azure, or AliCloud. And so that is a statement of fact. And I have every executive that I've talked to with every enterprise has been like, yes, we're doing multi-cloud. >> Yeah, they're going to have some kind of on-prem anyway, So we know that's there. That's not going to go away. >> No, PRIM is not going to go away. >> Then an IOT edge, and an Enterprise Edge, SDWAN comes back into vogue as people start using SAS across network connections. >> Yeah. >> I mean, SDWAN is essentially the internet basically. >> I feel like the older I get the more I'm like, wow, didn't I have this conversation like, 20 years ago? (laughs) >> I was talking about something earlier when I came in. The old becomes the new again. It's what's happening, right? Distributor computing now goes to cloud, you got the Enterprise. What are the big players doing? Google Next is coming up next month, big event. >> It is the week after Cloud Foundry Summit. >> They got Amit Zavery, big news over there they poached from Oracle. So Thomas Kurian brought in his Oracle, who is Cube alumni as well. Really smart guy. Diane is not there. What do you expect from Google Next for the week? What are we going to see there? What's the sentiment? What's the vibe? What do you see happening? >> Well, I think it's going to be all about the Enterprise right. That's why Thomas was brought in. And then I think they really give Google that Enterprise focus and say, how do we end up? As it's not just about I'm going to sell to enterprises. That's not, you know, when you're selling to an enterprise there is a whole different approach and you have to write how to the teams, the sales teams. You have to write how to the ecosystem, the services, the enablement capabilities, the support, the training, the product strategy? All of that takes a very different slant when you're thinking about an enterprise. And so I'm sure, that's going to be front-and-center for everything that they talk about. >> And certainly he's very public about, you know, the position Oracle Cloud, he knows the Enterprise Oracle was the master of enterprise gamesmanship for sure. >> Yes, for sure. You don't get a whole lot more enterprising than Oracle. >> What's going on in the CNCF any news there? What's happening on the landscape? What's the Abby take on the landscape of cloud? >> Well, speaking as someone that does not run CNCF. >> Feel free to elaborate. >> Cloud Native Computing Foundation, for those of you that aren't aren't, you know, aren't familiar is a sister open-source organization that is a clearing house or collective of cloud made of technologies. The anchor project is the very well-known Kubernetes, but it also spans a variety of technologies from everything from LINKerD to SEDA to Envoy, so it's just a variety of cloud-native technologies. And you know they're continuing to grow because obviously cloud-native is becoming you know it's coming into its own time right now. Because we're starting to really think about how to do better with workloads. Particularly workloads that I can run across a cloud. I mean and that seems pretty pedantic but we've been talking about Cloud since 2007. And we were talking about what cloud brings. What did cloud bring, it brings resiliency. You can auto-scale. You can burst into the cloud, remember bursting? Now all the things we talked about in 2007 to 2008 but weren't really reality because the applications that were written weren't necessarily written to do that. >> And that's exactly the point. >> So now we're actually seeing a lot more of these applications written we call them microservices, 12 Factor apps, serverless apps. What have you but it's applications written to run and scale across the cloud. And that is a really defining point because now these technologies are actually relevant because we're starting to see more of these created and run and now run at scale. >> Yeah, I think that's the point. I think you nailed it. The applications are driving everything And I think that's the chapter two narrative. In my opinion, chapter one was, let's get infrastructures code going. And chapter two is apps dictating policy and then you're going to see microservices start to emerge. Kind of new different vibe in terms of like what it means for scale as less of about, hey, I'm doing cloud, I got some stuff in the public cloud. Here the conversation is around apps, the workloads and that's where the business value is. It's not like people who is trying to do transformation. They're not saying hey I stood up a Kubernetes Cluster. They're saying I got to deploy my banking app or I got to do, I got to drive this workload. >> And I have to iterate now. I can't do a banking app and then update it in a year. That's not acceptable anymore. You are constantly having to update. You're constantly having to iterate, and that is not something you can do with a large application. I mean the whole reason we talk a lot about monolithic vs 12 factor or cloud in a box is because it isn't that my monolithics are inherently bad, it's just they're big and they're complex. Which means in order to make any updates it takes time. That's where the year comes in, the 18-months come in. And I think that is no longer acceptable you know. I remember the time and I'm going to date myself here, but I remember the time when you know banks would or any e-commerce site would be down. They'd have what they call the orange page. But the orange page would come up, site down tonight 'cause we're doing maintenance for the weekend, right? >> Under construction. >> Under construction. Okay, well I'll just come back on Monday. That's fine. And now, you're like, if it's down for 5 minutes you're like what is actually happening right now. Why is this not here. >> Yeah like when Facebook went down the other day. I was like, what the hell? Facebook sucks. >> You know, the internet blows up if Instagram is down. Oh my God, my life is over and I think our our expectation now is not only constant availability. So you know always available. But also our expectation is real-time access to data transparency and a visibility into what's actually happening at all times. That I've said something that a lot of organizations are really having to figure out. How to develop the applications to expose that. And that takes time and that takes change. And there's a ton of culture change. it has to happen and that is the more important thing if I'm a business I care more about how do I make that a reality and I should care a lot less about the technologies that you use. >> It's interesting you mention about the monolith versus the decomposed application of being agile. Because if you don't have the culture and the people to do it it's still a monolithic effort in the sense of the holistic thinking and the architectural, it's a systems architecture. You have to look at it like a system and that's not easy either. Once get that done the benefits are multifold in terms of like what you can do. But its it's that systems thinking setup is becoming more of an architectural concept that's super important. >> For sure if I have a microservice app, but it takes a 150 people to get that through change management and get it into production well that will still take me a year. Does it matter if there's maybe 12 lines of code in that application? It doesn't matter and so, you know I spend a lot of time. Even though I run Cloud Foundry, I spend a lot of time talking about culture change. All the writing I do is really around cultural change and what does that look like. Because at the end of the day if you're not willing to make those changes, you're not willing to structure your teams and allow for that collaboration and if you're doing iterative work, feedback loops from your customers. If you're not willing to put those pieces into place there is no technology that's going to make you better. >> I totally agree, so let me ask you a question on that point, great point, by the way. Most followed your you're writing your blog posts in the links, but I think that's the question. When do you know when it's not working? So I've seen companies that are rearranging the deckchairs, if you will, to use an analogy with all the culture rah, rah! And then nothing ever happens right? So they've gone into that paralysis mode. When do you look at a culture? When does the executive, what should they be thinking about because people kind of aspire to do this execution that you said is critical? When do you know it's not working or what should they be doing? What's the best practice? How does someone say hey you know what I really want is to be more holistic in my architecture. I don't want to spend two years on that the architecture and then find out it's now just starting. I want to get an architecture in place. I want to hit the ground running. >> I mean it's twofold, one, start small. I mean you're not going to change you know if you're an 85 year old company with 200,000 people you're not going to change that overnight and you should expect that's going to be an 8 to 10 year process now what that's also going to mean is you're going to have to have a really clear vision and you're going to have to be really committed like this is going to be a hard road but conversely when someone says what does success look like, when you're looking at a variety of companies how do you know which ones which ones you think are going to be the most successful at the end of the day because no one's ever actually done any of this before there's no one that's ever gone through this digital transformation and it should have come out on the other side no one. There isn't and so I think what does success look and I said well for me, what I look for are companies that are investing and re-skilling their workforce. That's what I'm looking for. I get real excited when companies talk about their internal boot camps or their programs to rescale or upscale their teams because it's not like you're going to lay off 20,000 people and hire 20,000 cloud native developers, they don't exist and they're certainly not going to exists for thousands of companies to go and do that so you know how are you investing in re-skilling because-- >> It's easy to grow your own internally from pre-existing positions. >> Well sure, they know your business. >> Rather than go to a job board that has no one available. >> And you know at the end of the day that needs to be your new business model what is digital transformation actually it's just a different way of working and there isn't, there is no destination to the digital trend. This isn't a journey that has an end and so you need to really think about how are you going to invest differently in your people so that they can continuously learn continuously learning needs to be part of your model and your mantra and that needs to be in everything you do from hiring to HR to MBO's to you know how do you how do you structure your teams like how do you make sure that people can constantly learn and evolve because if that's not happening it doesn't you know everything else is going to fall by the wayside >> Is the technology gap easy to fill? Lot of tech out there. Talent gap hard to fill. >> For sure. >> That's the real challenge. >> If you have all the best tech in the world but you don't have the right people or the right structure are you going to be successful, probably not. >> Yeah, that's a challenge. Alright, so final question for you where are you going to be, what's your schedule look like, where can people find you, what events going to be at? You guys have an event coming up? >> April 2nd through 4th in Philly. We're going to have a summit you want to see some people that are actually running cloud at scale that's the place to go >> April 5th? >> 2nd through 4th. First week of April Philly, fingers crossed good weather lots of cloud talk and it's a great way. >> City of Brotherly Love >> Yes, we're bringing it. >> Philadelphia. The Patriots couldn't make it to the playoffs last year but love the Philly fans down there Paul Martino and friends down there. Abby thanks for coming on. Appreciate it-good to see you. Thanks for the update. We'll see you around the events, I won't be able to make your event I'll be taking the week off skiing. >> Well one of us has to. >> First vacation of the year, two years. Thanks for coming in. >> You should do that. >> Abby Kearns here inside theCUBE for CUBEConversation I'm John Furrier, thanks for watching (funky music)
SUMMARY :
in the heart of Silicon Valley, Great to see you again. to drive down to your actual studios. We'll certainly see you at a bulk of them. and how they're going to be used, which feedback Obviously open-source continues to drive But, I mean you know the technical challenges And I think there's always going to be that fine line. is it the cloud air or is it the Red Hat? that are proceeding down the path to open-source I talk to Michael Dell all the time, even the public clouds are multicloud. and at the end of the day multicloud means for the right workload and I heard analogies. I've also heard that the people side of the equation, if it fits and the people are there to do it. Now also factoring in that you know you're going to have And they got most of that business. These are going to be important questions for you but then you have sprawl and you realize and so, I'm going to spend more time being really thoughtful So you would agree with the statement if I said, is really the conversation that needs to be had. And I have every executive that I've talked to That's not going to go away. Then an IOT edge, and an Enterprise Edge, SDWAN Distributor computing now goes to cloud, What do you expect from Google Next for the week? And so I'm sure, that's going to be front-and-center And certainly he's very public about, you know, You don't get a whole lot more enterprising than Oracle. And you know they're continuing to grow because obviously and scale across the cloud. I think you nailed it. I remember the time and I'm going to date myself here, And now, you're like, if it's down for 5 minutes I was like, what the hell? make that a reality and I should care a lot less about the Once get that done the benefits are multifold in terms of that's going to make you better. to do this execution that you said is critical? thousands of companies to go and do that so you know It's easy to grow your own and that needs to be in everything you do from hiring Is the technology gap easy to fill? or the right structure are you going to be successful, where are you going to be, what's your schedule look like, that's the place to go First week of April Philly, fingers crossed good The Patriots couldn't make it to the playoffs Thanks for coming in.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Amazon | ORGANIZATION | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Paul Martino | PERSON | 0.99+ |
Abby Kearns | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
8 | QUANTITY | 0.99+ |
Amit Zavery | PERSON | 0.99+ |
12 lines | QUANTITY | 0.99+ |
Diane | PERSON | 0.99+ |
Philly | LOCATION | 0.99+ |
December | DATE | 0.99+ |
ORGANIZATION | 0.99+ | |
Red Hat | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
2018 | DATE | 0.99+ |
Thomas Kurian | PERSON | 0.99+ |
Michael Dell | PERSON | 0.99+ |
5 minutes | QUANTITY | 0.99+ |
two years | QUANTITY | 0.99+ |
March 2019 | DATE | 0.99+ |
$34 billion | QUANTITY | 0.99+ |
2008 | DATE | 0.99+ |
April 5th | DATE | 0.99+ |
Last year | DATE | 0.99+ |
Pat Kelson | PERSON | 0.99+ |
200,000 people | QUANTITY | 0.99+ |
Monday | DATE | 0.99+ |
last year | DATE | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
2007 | DATE | 0.99+ |
Palo Alto, California | LOCATION | 0.99+ |
two things | QUANTITY | 0.99+ |
thousands | QUANTITY | 0.99+ |
Cloud Foundry Foundation | ORGANIZATION | 0.99+ |
20 year | QUANTITY | 0.99+ |
HashiCorp | ORGANIZATION | 0.99+ |
Abby | PERSON | 0.99+ |
150 people | QUANTITY | 0.99+ |
20,000 people | QUANTITY | 0.99+ |
Patriots | ORGANIZATION | 0.99+ |
April 2nd | DATE | 0.99+ |
CUBE | ORGANIZATION | 0.99+ |
Cloud Foundry | ORGANIZATION | 0.99+ |
10 year | QUANTITY | 0.99+ |
tonight | DATE | 0.99+ |
two engines | QUANTITY | 0.99+ |
five years | QUANTITY | 0.99+ |
one engine | QUANTITY | 0.99+ |
CNCF | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
five year | QUANTITY | 0.99+ |
Heptio | ORGANIZATION | 0.99+ |
Thomas | PERSON | 0.99+ |
next month | DATE | 0.99+ |
Cloud Native Computing Foundation | ORGANIZATION | 0.98+ |
Pivotal | ORGANIZATION | 0.98+ |
2016 | DATE | 0.98+ |
this year | DATE | 0.98+ |
One | QUANTITY | 0.98+ |
18-months | QUANTITY | 0.98+ |
4th | DATE | 0.98+ |
ORGANIZATION | 0.98+ | |
this week | DATE | 0.98+ |
CUBEConversation | EVENT | 0.98+ |
Cloud Foundry Summit | EVENT | 0.98+ |
Thursdays | DATE | 0.97+ |
both | QUANTITY | 0.97+ |
eighth time | QUANTITY | 0.97+ |
single | QUANTITY | 0.97+ |
early last year | DATE | 0.97+ |
20 years ago | DATE | 0.97+ |
thousands of dollars | QUANTITY | 0.96+ |
theCUBE | ORGANIZATION | 0.96+ |
single cloud | QUANTITY | 0.96+ |
over 120 events | QUANTITY | 0.96+ |
2nd | DATE | 0.96+ |
single solution | QUANTITY | 0.96+ |
one | QUANTITY | 0.96+ |
Lenovo Transform 2.0 Keynote | Lenovo Transform 2018
(electronic dance music) (Intel Jingle) (ethereal electronic dance music) ♪ Okay ♪ (upbeat techno dance music) ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh oh ♪ ♪ Oh oh oh oh ♪ ♪ Oh oh oh oh oh ♪ ♪ Take it back take it back ♪ ♪ Take it back ♪ ♪ Take it back take it back ♪ ♪ Take it back ♪ ♪ Take it back take it back ♪ ♪ Yeah everybody get loose yeah ♪ ♪ Yeah ♪ ♪ Ye-yeah yeah ♪ ♪ Yeah yeah ♪ ♪ Everybody everybody yeah ♪ ♪ Whoo whoo ♪ ♪ Whoo whoo ♪ ♪ Whoo yeah ♪ ♪ Everybody get loose whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ >> As a courtesy to the presenters and those around you, please silence all mobile devices, thank you. (electronic dance music) ♪ Everybody get loose ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ ♪ Whoo ♪ (upbeat salsa music) ♪ Ha ha ha ♪ ♪ Ah ♪ ♪ Ha ha ha ♪ ♪ So happy ♪ ♪ Whoo whoo ♪ (female singer scatting) >> Ladies and gentlemen, please take your seats. Our program will begin momentarily. ♪ Hey ♪ (female singer scatting) (male singer scatting) ♪ Hey ♪ ♪ Whoo ♪ (female singer scatting) (electronic dance music) ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ Red don't go ♪ ♪ All hands are in don't go ♪ ♪ In don't go ♪ ♪ Oh red go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ Red red red red ♪ ♪ All hands are red don't go ♪ ♪ All hands are in red red red red ♪ ♪ All hands are in don't go ♪ ♪ All hands are in red go ♪ >> Ladies and gentlemen, there are available seats. Towards house left, house left there are available seats. If you are please standing, we ask that you please take an available seat. We will begin momentarily, thank you. ♪ Let go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ ♪ All hands are in don't go ♪ ♪ Red all hands are in don't go ♪ (upbeat electronic dance music) ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ I live ♪ ♪ Just make me ♪ ♪ Just make me ♪ ♪ Hey ♪ ♪ Yeah ♪ ♪ Oh ♪ ♪ Ah ♪ ♪ Ah ah ah ah ah ah ♪ ♪ Just make me ♪ ♪ Just make me ♪ (bouncy techno music) >> Ladies and gentlemen, once again we ask that you please take the available seats to your left, house left, there are many available seats. If you are standing, please make your way there. The program will begin momentarily, thank you. Good morning! This is Lenovo Transform 2.0! (keyboard clicks) >> Progress. Why do we always talk about it in the future? When will it finally get here? We don't progress when it's ready for us. We need it when we're ready, and we're ready now. Our hospitals and their patients need it now, our businesses and their customers need it now, our cities and their citizens need it now. To deliver intelligent transformation, we need to build it into the products and solutions we make every day. At Lenovo, we're designing the systems to fight disease, power businesses, and help you reach more customers, end-to-end security solutions to protect your data and your companies reputation. We're making IT departments more agile and cost efficient. We're revolutionizing how kids learn with VR. We're designing smart devices and software that transform the way you collaborate, because technology shouldn't just power industries, it should power people. While everybody else is talking about tomorrow, we'll keep building today, because the progress we need can't wait for the future. >> Please welcome to the stage Lenovo's Rod Lappen! (electronic dance music) (audience applauding) >> Alright. Good morning everyone! >> Good morning. >> Ooh, that was pretty good actually, I'll give it one more shot. Good morning everyone! >> Good morning! >> Oh, that's much better! Hope everyone's had a great morning. Welcome very much to the second Lenovo Transform event here in New York. I think when I got up just now on the steps I realized there's probably one thing in common all of us have in this room including myself which is, absolutely no one has a clue what I'm going to say today. So, I'm hoping very much that we get through this thing very quickly and crisply. I love this town, love New York, and you're going to hear us talk a little bit about New York as we get through here, but just before we get started I'm going to ask anyone who's standing up the back, there are plenty of seats down here, and down here on the right hand side, I think he called it house left is the professional way of calling it, but these steps to my right, your left, get up here, let's get you all seated down so that you can actually sit down during the keynote session for us. Last year we had our very first Lenovo Transform. We had about 400 people. It was here in New York, fantastic event, today, over 1,000 people. We have over 62 different technology demonstrations and about 15 breakout sessions, which I'll talk you through a little bit later on as well, so it's a much bigger event. Next year we're definitely going to be shooting for over 2,000 people as Lenovo really transforms and starts to address a lot of the technology that our commercial customers are really looking for. We were however hampered last year by a storm, I don't know if those of you who were with us last year will remember, we had a storm on the evening before Transform last year in New York, and obviously the day that it actually occurred, and we had lots of logistics. Our media people from AMIA were coming in. They took the, the plane was circling around New York for a long time, and Kamran Amini, our General Manager of our Data Center Infrastructure Group, probably one of our largest groups in the Lenovo DCG business, took 17 hours to get from Raleigh, North Carolina to New York, 17 hours, I think it takes seven or eight hours to drive. Took him 17 hours by plane to get here. And then of course this year, we have Florence. And so, obviously the hurricane Florence down there in the Carolinas right now, we tried to help, but still Kamran has made it today. Unfortunately, very tragically, we were hoping he wouldn't, but he's here today to do a big presentation a little bit later on as well. However, I do want to say, obviously, Florence is a very serious tragedy and we have to take it very serious. We got, our headquarters is in Raleigh, North Carolina. While it looks like the hurricane is just missing it's heading a little bit southeast, all of our thoughts and prayers and well wishes are obviously with everyone in the Carolinas on behalf of Lenovo, everyone at our headquarters, everyone throughout the Carolinas, we want to make sure everyone stays safe and out of harm's way. We have a great mixture today in the crowd of all customers, partners, industry analysts, media, as well as our financial analysts from all around the world. There's over 30 countries represented here and people who are here to listen to both YY, Kirk, and Christian Teismann speak today. And so, it's going to be a really really exciting day, and I really appreciate everyone coming in from all around the world. So, a big round of applause for everyone whose come in. (audience applauding) We have a great agenda for you today, and it starts obviously a very consistent format which worked very successful for us last year, and that's obviously our keynote. You'll hear from YY, our CEO, talk a little bit about the vision he has in the industry and how he sees Lenovo's turned the corner and really driving some great strategy to address our customer's needs. Kirk Skaugen, our Executive Vice President of DCG, will be up talking about how we've transformed the DCG business and once again are hitting record growth ratios for our DCG business. And then you'll hear from Christian Teismann, our SVP and General Manager for our commercial business, get up and talk about everything that's going on in our IDG business. There's really exciting stuff going on there and obviously ThinkPad being the cornerstone of that I'm sure he's going to talk to us about a couple surprises in that space as well. Then we've got some great breakout sessions, I mentioned before, 15 breakout sessions, so while this keynote section goes until about 11:30, once we get through that, please go over and explore, and have a look at all of the breakout sessions. We have all of our subject matter experts from both our PC, NBG, and our DCG businesses out to showcase what we're doing as an organization to better address your needs. And then obviously we have the technology pieces that I've also spoken about, 62 different technology displays there arranged from everything IoT, 5G, NFV, everything that's really cool and hot in the industry right now is going to be on display up there, and I really encourage all of you to get up there. So, I'm going to have a quick video to show you from some of the setup yesterday on a couple of the 62 technology displays we've got on up on stage. Okay let's go, so we've got a demonstrations to show you today, one of the greats one here is the one we've done with NC State, a high-performance computing artificial intelligence demonstration of fresh produce. It's about modeling the population growth of the planet, and how we're going to supply water and food as we go forward. Whoo. Oh, that is not an apple. Okay. (woman laughs) Second one over here is really, hey Jonas, how are you? Is really around virtual reality, and how we look at one of the most amazing sites we've got, as an install on our high-performance computing practice here globally. And you can see, obviously, that this is the Barcelona supercomputer, and, where else in New York can you get access to being able to see something like that so easily? Only here at Lenovo Transform. Whoo, okay. (audience applauding) So there's two examples of some of the technology. We're really encouraging everyone in the room after the keynote to flow into that space and really get engaged, and interact with a lot of the technology we've got up there. It seems I need to also do something about my fashion, I've just realized I've worn a vest two days in a row, so I've got to work on that as well. Alright so listen, the last thing on the agenda, we've gone through the breakout sessions and the demo, tonight at four o'clock, there's about 400 of you registered to be on the cruise boat with us, the doors will open behind me. the boat is literally at the pier right behind us. You need to make sure you're on the boat for 4:00 p.m. this evening. Outside of that, I want everyone to have a great time today, really enjoy the experience, make it as experiential as you possibly can, get out there and really get in and touch the technology. There's some really cool AI displays up there for us all to get involved in as well. So ladies and gentlemen, without further adieu, it gives me great pleasure to introduce to you a lover of tennis, as some of you would've heard last year at Lenovo Transform, as well as a lover of technology, Lenovo, and of course, New York City. I am obviously very pleasured to introduce to you Yang Yuanqing, our CEO, as we like to call him, YY. (audience applauding) (upbeat funky music) >> Good morning, everyone. >> Good morning. >> Thank you Rod for that introduction. Welcome to New York City. So, this is the second year in a row we host our Transform event here, because New York is indeed one of the most transformative cities in the world. Last year on this stage, I spoke about the Fourth Industrial Revolution, and our vision around the intelligent transformation, how it would fundamentally change the nature of business and the customer relationships. And why preparing for this transformation is the key for the future of our company. And in the last year I can assure you, we were being very busy doing just that, from searching and bringing global talents around the world to the way we think about every product and every investment we make. I was here in New York just a month ago to announce our fiscal year Q1 earnings, which was a good day for us. I think now the world believes it when we say Lenovo has truly turned the corner to a new phase of growth and a new phase of acceleration in executing the transformation strategy. That's clear to me is that the last few years of a purposeful disruption at Lenovo have led us to a point where we can now claim leadership of the coming intelligent transformation. People often asked me, what is the intelligent transformation? I was saying this way. This is the unlimited potential of the Fourth Industrial Revolution driven by artificial intelligence being realized, ordering a pizza through our speaker, and locking the door with a look, letting your car drive itself back to your home. This indeed reflect the power of AI, but it just the surface of it. The true impact of AI will not only make our homes smarter and offices more efficient, but we are also completely transformed every value chip in every industry. However, to realize these amazing possibilities, we will need a structure built around the key components, and one that touches every part of all our lives. First of all, explosions in new technology always lead to new structures. This has happened many times before. In the early 20th century, thousands of companies provided a telephone service. City streets across the US looked like this, and now bundles of a microscopic fiber running from city to city bring the world closer together. Here's what a driving was like in the US, up until 1950s. Good luck finding your way. (audience laughs) And today, millions of vehicles are organized and routed daily, making the world more efficient. Structure is vital, from fiber cables and the interstate highways, to our cells bounded together to create humans. Thankfully the structure for intelligent transformation has emerged, and it is just as revolutionary. What does this new structure look like? We believe there are three key building blocks, data, computing power, and algorithms. Ever wondered what is it behind intelligent transformation? What is fueling this miracle of human possibility? Data. As the Internet becomes ubiquitous, not only PCs, mobile phones, have come online and been generating data. Today it is the cameras in this room, the climate controls in our offices, or the smart displays in our kitchens at home. The number of smart devices worldwide will reach over 20 billion in 2020, more than double the number in 2017. These devices and the sensors are connected and generating massive amount of data. By 2020, the amount of data generated will be 57 times more than all the grains of sand on Earth. This data will not only make devices smarter, but will also fuel the intelligence of our homes, offices, and entire industries. Then we need engines to turn the fuel into power, and the engine is actually the computing power. Last but not least the advanced algorithms combined with Big Data technology and industry know how will form vertical industrial intelligence and produce valuable insights for every value chain in every industry. When these three building blocks all come together, it will change the world. At Lenovo, we have each of these elements of intelligent transformations in a single place. We have built our business around the new structure of intelligent transformation, especially with mobile and the data center now firmly part of our business. I'm often asked why did you acquire these businesses? Why has a Lenovo gone into so many fields? People ask the same questions of the companies that become the leaders of the information technology revolution, or the third industrial transformation. They were the companies that saw the future and what the future required, and I believe Lenovo is the company today. From largest portfolio of devices in the world, leadership in the data center field, to the algorithm-powered intelligent vertical solutions, and not to mention the strong partnership Lenovo has built over decades. We are the only company that can unify all these essential assets and deliver end to end solutions. Let's look at each part. We now understand the important importance data plays as fuel in intelligent transformation. Hundreds of billions of devices and smart IoTs in the world are generating better and powering the intelligence. Who makes these devices in large volume and variety? Who puts these devices into people's home, offices, manufacturing lines, and in their hands? Lenovo definitely has the front row seats here. We are number one in PCs and tablets. We also produces smart phones, smart speakers, smart displays. AR/VR headsets, as well as commercial IoTs. All of these smart devices, or smart IoTs are linked to each other and to the cloud. In fact, we have more than 20 manufacturing facilities in China, US, Brazil, Japan, India, Mexico, Germany, and more, producing various devices around the clock. We actually make four devices every second, and 37 motherboards every minute. So, this factory located in my hometown, Hu-fi, China, is actually the largest laptop factory in the world, with more than three million square feet. So, this is as big as 42 soccer fields. Our scale and the larger portfolio of devices gives us access to massive amount of data, which very few companies can say. So, why is the ability to scale so critical? Let's look again at our example from before. The early days of telephone, dozens of service providers but only a few companies could survive consolidation and become the leader. The same was true for the third Industrial Revolution. Only a few companies could scale, only a few could survive to lead. Now the building blocks of the next revolution are locking into place. The (mumbles) will go to those who can operate at the scale. So, who could foresee the total integration of cloud, network, and the device, need to deliver intelligent transformation. Lenovo is that company. We are ready to scale. Next, our computing power. Computing power is provided in two ways. On one hand, the modern supercomputers are providing the brute force to quickly analyze the massive data like never before. On the other hand the cloud computing data centers with the server storage networking capabilities, and any computing IoT's, gateways, and miniservers are making computing available everywhere. Did you know, Lenovo is number one provider of super computers worldwide? 170 of the top 500 supercomputers, run on Lenovo. We hold 89 World Records in key workloads. We are number one in x86 server reliability for five years running, according to ITIC. a respected provider of industry research. We are also the fastest growing provider of hyperscale public cloud, hyper-converged and aggressively growing in edge computing. cur-ges target, we are expand on this point soon. And finally to run these individual nodes into our symphony, we must transform the data and utilize the computing power with advanced algorithms. Manufactured, industry maintenance, healthcare, education, retail, and more, so many industries are on the edge of intelligent transformation to improve efficiency and provide the better products and services. We are creating advanced algorithms and the big data tools combined with industry know-how to provide intelligent vertical solutions for several industries. In fact, we studied at Lenovo first. Our IT and research teams partnered with our global supply chain to develop an AI that improved our demand forecasting accuracy. Beyond managing our own supply chain we have offered our deep learning supply focused solution to other manufacturing companies to improve their efficiency. In the best case, we have improved the demand, focused the accuracy by 30 points to nearly 90 percent, for Baosteel, the largest of steel manufacturer in China, covering the world as well. Led by Lenovo research, we launched the industry-leading commercial ready AR headset, DaystAR, partnering with companies like the ones in this room. This technology is being used to revolutionize the way companies service utility, and even our jet engines. Using our workstations, servers, and award-winning imaging processing algorithms, we have partnered with hospitals to process complex CT scan data in minutes. So, this enable the doctors to more successfully detect the tumors, and it increases the success rate of cancer diagnosis all around the world. We are also piloting our smart IoT driven warehouse solution with one of the world's largest retail companies to greatly improve the efficiency. So, the opportunities are endless. This is where Lenovo will truly shine. When we combine the industry know-how of our customers with our end-to-end technology offerings, our intelligent vertical solutions like this are growing, which Kirk and Christian will share more. Now, what will drive this transformation even faster? The speed at which our networks operate, specifically 5G. You may know that Lenovo just launched the first-ever 5G smartphone, our Moto Z3, with the new 5G Moto model. We are partnering with multiple major network providers like Verizon, China Mobile. With the 5G model scheduled to ship early next year, we will be the first company to provide a 5G mobile experience to any users, customers. This is amazing innovation. You don't have to buy a new phone, just the 5G clip on. What can I say, except wow. (audience laughs) 5G is 10 times the fast faster than 4G. Its download speed will transform how people engage with the world, driverless car, new types of smart wearables, gaming, home security, industrial intelligence, all will be transformed. Finally, accelerating with partners, as ready as we are at Lenovo, we need partners to unlock our full potential, partners here to create with us the edge of the intelligent transformation. The opportunities of intelligent transformation are too profound, the scale is too vast. No company can drive it alone fully. We are eager to collaborate with all partners that can help bring our vision to life. We are dedicated to open partnerships, dedicated to cross-border collaboration, unify the standards, share the advantage, and market the synergies. We partner with the biggest names in the industry, Intel, Microsoft, AMD, Qualcomm, Google, Amazon, and Disney. We also find and partner with the smaller innovators as well. We're building the ultimate partner experience, open, shared, collaborative, diverse. So, everything is in place for intelligent transformation on a global scale. Smart devices are everywhere, the infrastructure is in place, networks are accelerating, and the industries demand to be more intelligent, and Lenovo is at the center of it all. We are helping to drive change with the hundreds of companies, companies just like yours, every day. We are your partner for intelligent transformation. Transformation never stops. This is what you will hear from Kirk, including details about Lenovo NetApp global partnership we just announced this morning. We've made the investments in every single aspect of the technology. We have the end-to-end resources to meet your end-to-end needs. As you attend the breakout session this afternoon, I hope you see for yourself how much Lenovo has transformed as a company this past year, and how we truly are delivering a future of intelligent transformation. Now, let me invite to the stage Kirk Skaugen, our president of Data Center growth to tell you about the exciting transformation happening in the global Data C enter market. Thank you. (audience applauding) (upbeat music) >> Well, good morning. >> Good morning. >> Good morning! >> Good morning! >> Excellent, well, I'm pleased to be here this morning to talk about how we're transforming the Data Center and taking you as our customers through your own intelligent transformation journey. Last year I stood up here at Transform 1.0, and we were proud to announce the largest Data Center portfolio in Lenovo's history, so I thought I'd start today and talk about the portfolio and the progress that we've made over the last year, and the strategies that we have going forward in phase 2.0 of Lenovo's transformation to be one of the largest data center companies in the world. We had an audacious vision that we talked about last year, and that is to be the most trusted data center provider in the world, empowering customers through the new IT, intelligent transformation. And now as the world's largest supercomputer provider, giving something back to humanity, is very important this week with the hurricanes now hitting North Carolina's coast, but we take this most trusted aspect very seriously, whether it's delivering the highest quality products on time to you as customers with the highest levels of security, or whether it's how we partner with our channel partners and our suppliers each and every day. You know we're in a unique world where we're going from hundreds of millions of PCs, and then over the next 25 years to hundred billions of connected devices, so each and every one of you is going through this intelligent transformation journey, and in many aspects were very early in that cycle. And we're going to talk today about our role as the largest supercomputer provider, and how we're solving humanity's greatest challenges. Last year we talked about two special milestones, the 25th anniversary of ThinkPad, but also the 25th anniversary of Lenovo with our IBM heritage in x86 computing. I joined the workforce in 1992 out of college, and the IBM first personal server was launching at the same time with an OS2 operating system and a free mouse when you bought the server as a marketing campaign. (audience laughing) But what I want to be very clear today, is that the innovation engine is alive and well at Lenovo, and it's really built on the culture that we're building as a company. All of these awards at the bottom are things that we earned over the last year at Lenovo. As a Fortune now 240 company, larger than companies like Nike, or AMEX, or Coca-Cola. The one I'm probably most proud of is Forbes first list of the top 2,000 globally regarded companies. This was something where 15,000 respondents in 60 countries voted based on ethics, trustworthiness, social conduct, company as an employer, and the overall company performance, and Lenovo was ranked number 27 of 2000 companies by our peer group, but we also now one of-- (audience applauding) But we also got a perfect score in the LGBTQ Equality Index, exemplifying the diversity internally. We're number 82 in the top working companies for mothers, top working companies for fathers, top 100 companies for sustainability. If you saw that factory, it's filled with solar panels on the top of that. And now again, one of the top global brands in the world. So, innovation is built on a customer foundation of trust. We also said last year that we'd be crossing an amazing milestone. So we did, over the last 12 months ship our 20 millionth x86 server. So, thank you very much to our customers for this milestone. (audience applauding) So, let me recap some of the transformation elements that have happened over the last year. Last year I talked about a lot of brand confusion, because we had the ThinkServer brand from the legacy Lenovo, the System x, from IBM, we had acquired a number of networking companies, like BLADE Network Technologies, et cetera, et cetera. Over the last year we've been ramping based on two brand structures, ThinkAgile for next generation IT, and all of our software-defined infrastructure products and ThinkSystem as the world's highest performance, highest reliable x86 server brand, but for servers, for storage, and for networking. We have transformed every single aspect of the customer experience. A year and a half ago, we had four different global channel programs around the world. Typically we're about twice the mix to our channel partners of any of our competitors, so this was really important to fix. We now have a single global Channel program, and have technically certified over 11,000 partners to be technical experts on our product line to deliver better solutions to our customer base. Gardner recently recognized Lenovo as the 26th ranked supply chain in the world. And, that's a pretty big honor, when you're up there with Amazon and Walmart and others, but in tech, we now are in the top five supply chains. You saw the factory network from YY, and today we'll be talking about product shipping in more than 160 countries, and I know there's people here that I've met already this morning, from India, from South Africa, from Brazil and China. We announced new Premier Support services, enabling you to go directly to local language support in nine languages in 49 countries in the world, going directly to a native speaker level three support engineer. And today we have more than 10,000 support specialists supporting our products in over 160 countries. We've delivered three times the number of engineered solutions to deliver a solutions orientation, whether it's on HANA, or SQL Server, or Oracle, et cetera, and we've completely reengaged our system integrator channel. Last year we had the CIO of DXE on stage, and here we're talking about more than 175 percent growth through our system integrator channel in the last year alone as we've brought that back and really built strong relationships there. So, thank you very much for amazing work here on the customer experience. (audience applauding) We also transformed our leadership. We thought it was extremely important with a focus on diversity, to have diverse talent from the legacy IBM, the legacy Lenovo, but also outside the industry. We made about 19 executive changes in the DCG group. This is the most senior leadership team within DCG, all which are newly on board, either from our outside competitors mainly over the last year. About 50 percent of our executives were now hired internally, 50 percent externally, and 31 percent of those new executives are diverse, representing the diversity of our global customer base and gender. So welcome, and most of them you're going to be able to meet over here in the breakout sessions later today. (audience applauding) But some things haven't changed, they're just keeping getting better within Lenovo. So, last year I got up and said we were committed with the new ThinkSystem brand to be a world performance leader. You're going to see that we're sponsoring Ducati for MotoGP. You saw the Ferrari out there with Formula One. That's not a surprise. We want the Lenovo ThinkSystem and ThinkAgile brands to be synonymous with world record performance. So in the last year we've gone from 39 to 89 world records, and partners like Intel would tell you, we now have four times the number of world record workloads on Lenovo hardware than any other server company on the planet today, with more than 89 world records across HPC, Java, database, transaction processing, et cetera. And we're proud to have just brought on Doug Fisher from Intel Corporation who had about 10-17,000 people on any given year working for him in workload optimizations across all of our software. It's just another testament to the leadership team we're bringing in to keep focusing on world-class performance software and solutions. We also per ITIC, are the number one now in x86 server reliability five years running. So, this is a survey where CIOs are in a blind survey asked to submit their reliability of their uptime on their x86 server equipment over the last 365 days. And you can see from 2016 to 2017 the downtime, there was over four hours as noted by the 750 CXOs in more than 20 countries is about one percent for the Lenovo products, and is getting worse generation from generation as we went from Broadwell to Pearlie. So we're taking our reliability, which was really paramount in the IBM System X heritage, and ensuring that we don't just recognize high performance but we recognize the highest level of reliability for mission-critical workloads. And what that translates into is that we at once again have been ranked number one in customer satisfaction from you our customers in 19 of 22 attributes, in North America in 18 of 22. This is a survey by TVR across hundreds of customers of us and our top competitors. This is the ninth consecutive study that we've been ranked number one in customer satisfaction, so we're taking this extremely seriously, and in fact YY now has increased the compensation of every single Lenovo employee. Up to 40 percent of their compensation bonus this year is going to be based on customer metrics like quality, order to ship, and things of this nature. So, we're really putting every employee focused on customer centricity this year. So, the summary on Transform 1.0 is that every aspect of what you knew about Lenovo's data center group has transformed, from the culture to the branding to dedicated sales and marketing, supply chain and quality groups, to a worldwide channel program and certifications, to new system integrator relationships, and to the new leadership team. So, rather than me just talk about it, I thought I'd share a quick video about what we've done over the last year, if you could run the video please. Turn around for a second. (epic music) (audience applauds) Okay. So, thank you to all our customers that allowed us to publicly display their logos in that video. So, what that means for you as investors, and for the investor community out there is, that our customers have responded, that this year Gardner just published that we are the fastest growing server company in the top 10, with 39 percent growth quarter-on-quarter, and 49 percent growth year-on-year. If you look at the progress we've made since the transformation the last three quarters publicly, we've grown 17 percent, then 44 percent, then 68 percent year on year in revenue, and I can tell you this quarter I'm as confident as ever in the financials around the DCG group, and it hasn't been in one area. You're going to see breakout sessions from hyperscale, software-defined, and flash, which are all growing more than a 100 percent year-on-year, supercomputing which we'll talk about shortly, now number one, and then ultimately from profitability, delivering five consecutive quarters of pre-tax profit increase, so I think, thank you very much to the customer base who's been working with us through this transformation journey. So, you're here to really hear what's next on 2.0, and that's what I'm excited to talk about today. Last year I came up with an audacious goal that we would become the largest supercomputer company on the planet by 2020, and this graph represents since the acquisition of the IBM System x business how far we were behind being the number one supercomputer. When we started we were 182 positions behind, even with the acquisition for example of SGI from HP, we've now accomplished our goal actually two years ahead of time. We're now the largest supercomputer company in the world. About one in every four supercomputers, 117 on the list, are now Lenovo computers, and you saw in the video where the universities are said, but I think what I'm most proud of is when your customers rank you as the best. So the awards at the bottom here, are actually Readers Choice from the last International Supercomputing Show where the scientific researchers on these computers ranked their vendors, and we were actually rated the number one server technology in supercomputing with our ThinkSystem SD530, and the number one storage technology with our ThinkSystem DSS-G, but more importantly what we're doing with the technology. You're going to see we won best in life sciences, best in data analytics, and best in collaboration as well, so you're going to see all of that in our breakout sessions. As you saw in the video now, 17 of the top 25 research institutions in the world are now running Lenovo supercomputers. And again coming from Raleigh and watching that hurricane come across the Atlantic, there are eight supercomputers crunching all of those models you see from Germany to Malaysia to Canada, and we're happy to have a SciNet from University of Toronto here with us in our breakout session to talk about what they're doing on climate modeling as well. But we're not stopping there. We just announced our new Neptune warm water cooling technology, which won the International Supercomputing Vendor Showdown, the first time we've won that best of show in 25 years, and we've now installed this. We're building out LRZ in Germany, the first ever warm water cooling in Peking University, at the India Space Propulsion Laboratory, at the Malaysian Weather and Meteorological Society, at Uninett, at the largest supercomputer in Norway, T-Systems, University of Birmingham. This is truly amazing technology where we're actually using water to cool the machine to deliver a significantly more energy-efficient computer. Super important, when we're looking at global warming and some of the electric bills can be millions of dollars just for one computer, and could actually power a small city just with the technology from the computer. We've built AI centers now in Morrisville, Stuttgart, Taipei, and Beijing, where customers can bring their AI workloads in with experts from Intel, from Nvidia, from our FPGA partners, to work on their workloads, and how they can best implement artificial intelligence. And we also this year launched LICO which is Lenovo Intelligent Compute Orchestrator software, and it's a software solution that simplifies the management and use of distributed clusters in both HPC and AI model development. So, what it enables you to do is take a single cluster, and run both HPC and AI workloads on it simultaneously, delivering better TCO for your environment, so check out LICO as well. A lot of the customers here and Wall Street are very excited and using it already. And we talked about solving humanity's greatest challenges. In the breakout session, you're going to have a virtual reality experience where you're going to be able to walk through what as was just ranked the world's most beautiful data center, the Barcelona Supercomputer. So, you can actually walk through one of the largest supercomputers in the world from Barcelona. You can see the work we're doing with NC State where we're going to have to grow the food supply of the world by 50 percent, and there's not enough fresh water in the world in the right places to actually make all those crops grow between now and 2055, so you're going to see the progression of how they're mapping the entire globe and the water around the world, how to build out the crop population over time using AI. You're going to see our work with Vestas is this largest supercomputer provider in the wind turbine areas, how they're working on wind energy, and then with University College London, how they're working on some of the toughest particle physics calculations in the world. So again, lots of opportunity here. Take advantage of it in the breakout sessions. Okay, let me transition to hyperscale. So in hyperscale now, we have completely transformed our business model. We are now powering six of the top 10 hyperscalers in the world, which is a significant difference from where we were two years ago. And the reason we're doing that, is we've coined a term called ODM+. We believe that hyperscalers want more procurement power than an ODM, and Lenovo is doing about $18 billion of procurement a year. They want a broader global supply chain that they can get from a local system integrator. We're more than 160 countries around the world, but they want the same world-class quality and reliability like they get from an MNC. So, what we're doing now is instead of just taking off the shelf motherboards from somewhere, we're starting with a blank sheet of paper, we're working with the customer base on customized SKUs and you can see we already are developing 33 custom solutions for the largest hyperscalers in the world. And then we're not just running notebooks through this factory where YY said, we're running 37 notebook boards a minute, we're now putting in tens and tens and tens of thousands of server board capacity per month into this same factory, so absolutely we can compete with the most aggressive ODM's in the world, but it's not just putting these things in in the motherboard side, we're also building out these systems all around the world, India, Brazil, Hungary, Mexico, China. This is an example of a new hyperscale customer we've had this last year, 34,000 servers we delivered in the first six months. The next 34,000 servers we delivered in 68 days. The next 34,000 servers we delivered in 35 days, with more than 99 percent on-time delivery to 35 data centers in 14 countries as diverse as South Africa, India, China, Brazil, et cetera. And I'm really ashamed to say it was 99.3, because we did have a forklift driver who rammed their forklift right through the middle of the one of the server racks. (audience laughing) At JFK Airport that we had to respond to, but I think this gives you a perspective of what it is to be a top five global supply chain and technology. So last year, I said we would invest significantly in IP, in joint ventures, and M and A to compete in software defined, in networking, and in storage, so I wanted to give you an update on that as well. Our newest software-defined partnership is with Cloudistics, enabling a fully composable cloud infrastructure. It's an exclusive agreement, you can see them here. I think Nag, our founder, is going to be here today, with a significant Lenovo investment in the company. So, this new ThinkAgile CP series delivers the simplicity of the public cloud, on-premise with exceptional support and a marketplace of essential enterprise applications all with a single click deployment. So simply put, we're delivering a private cloud with a premium experience. It's simple in that you need no specialists to deploy it. An IT generalist can set it up and manage it. It's agile in that you can provision dozens of workloads in minutes, and it's transformative in that you get all of the goodness of public cloud on-prem in a private cloud to unlock opportunity for use. So, we're extremely excited about the ThinkAgile CP series that's now shipping into the marketplace. Beyond that we're aggressively ramping, and we're either doubling, tripling, or quadrupling our market share as customers move from traditional server technology to software-defined technology. With Nutanix we've been public, growing about more than 150 percent year-on-year, with Nutanix as their fastest growing Nutanix partner, but today I want to set another audacious goal. I believe we cannot just be Nutanix's fastest growing partner but we can become their largest partner within two years. On Microsoft, we are already four times our market share on Azure stack of our traditional business. We were the first to launch our ThinkAgile on Broadwell and on Skylake with the Azure Stack Infrastructure. And on VMware we're about twice our market segment share. We were the first to deliver an Intel-optimized Optane-certified VSAN node. And with Optane technology, we're delivering 50 percent more VM density than any competitive SSD system in the marketplace, about 10 times lower latency, four times the performance of any SSD system out there, and Lenovo's first to market on that. And at VMworld you saw CEO Pat Gelsinger of VMware talked about project dimension, which is Edge as a service, and we're the only OEM beyond the Dell family that is participating today in project dimension. Beyond that you're going to see a number of other partnerships we have. I'm excited that we have the city of Bogota Columbia here, an eight million person city, where we announced a 3,000 camera video surveillance solution last month. With pivot three you're going to see city of Bogota in our breakout sessions. You're going to see a new partnership with Veeam around backup that's launching today. You're going to see partnerships with scale computing in IoT and hyper-converged infrastructure working on some of the largest retailers in the world. So again, everything out in the breakout session. Transitioning to storage and data management, it's been a great year for Lenovo, more than a 100 percent growth year-on-year, 2X market growth in flash arrays. IDC just reported 30 percent growth in storage, number one in price performance in the world and the best HPC storage product in the top 500 with our ThinkSystem DSS G, so strong coverage, but I'm excited today to announce for Transform 2.0 that Lenovo is launching the largest data management and storage portfolio in our 25-year data center history. (audience applauding) So a year ago, the largest server portfolio, becoming the largest fastest growing server OEM, today the largest storage portfolio, but as you saw this morning we're not doing it alone. Today Lenovo and NetApp, two global powerhouses are joining forces to deliver a multi-billion dollar global alliance in data management and storage to help customers through their intelligent transformation. As the fastest growing worldwide server leader and one of the fastest growing flash array and data management companies in the world, we're going to deliver more choice to customers than ever before, global scale that's never been seen, supply chain efficiencies, and rapidly accelerating innovation and solutions. So, let me unwrap this a little bit for you and talk about what we're announcing today. First, it's the largest portfolio in our history. You're going to see not just storage solutions launching today but a set of solution recipes from NetApp that are going to make Lenovo server and NetApp or Lenovo storage work better together. The announcement enables Lenovo to go from covering 15 percent of the global storage market to more than 90 percent of the global storage market and distribute these products in more than 160 countries around the world. So we're launching today, 10 new storage platforms, the ThinkSystem DE and ThinkSystem DM platforms. They're going to be centrally managed, so the same XClarity management that you've been using for server, you can now use across all of your storage platforms as well, and it'll be supported by the same 10,000 plus service personnel that are giving outstanding customer support to you today on the server side. And we didn't come up with this in the last month or the last quarter. We're announcing availability in ordering today and shipments tomorrow of the first products in this portfolio, so we're excited today that it's not just a future announcement but something you as customers can take advantage of immediately. (audience applauding) The second part of the announcement is we are announcing a joint venture in China. Not only will this be a multi-billion dollar global partnership, but Lenovo will be a 51 percent owner, NetApp a 49 percent owner of a new joint venture in China with the goal of becoming in the top three storage companies in the largest data and storage market in the world. We will deliver our R and D in China for China, pooling our IP and resources together, and delivering a single route to market through a complementary channel, not just in China but worldwide. And in the future I just want to tell everyone this is phase one. There is so much exciting stuff. We're going to be on the stage over the next year talking to you about around integrated solutions, next-generation technologies, and further synergies and collaborations. So, rather than just have me talk about it, I'd like to welcome to the stage our new partner NetApp and Brad Anderson who's the senior vice president and general manager of NetApp Cloud Infrastructure. (upbeat music) (audience applauding) >> Thank You Kirk. >> So Brad, we've known each other a long time. It's an exciting day. I'm going to give you the stage and allow you to say NetApp's perspective on this announcement. >> Very good, thank you very much, Kirk. Kirk and I go back to I think 1994, so hey good morning and welcome. My name is Brad Anderson. I manage the Cloud Infrastructure Group at NetApp, and I am honored and privileged to be here at Lenovo Transform, particularly today on today's announcement. Now, you've heard a lot about digital transformation about how companies have to transform their IT to compete in today's global environment. And today's announcement with the partnership between NetApp and Lenovo is what that's all about. This is the joining of two global leaders bringing innovative technology in a simplified solution to help customers modernize their IT and accelerate their global digital transformations. Drawing on the strengths of both companies, Lenovo's high performance compute world-class supply chain, and NetApp's hybrid cloud data management, hybrid flash and all flash storage solutions and products. And both companies providing our customers with the global scale for them to be able to meet their transformation goals. At NetApp, we're very excited. This is a quote from George Kurian our CEO. George spent all day yesterday with YY and Kirk, and would have been here today if it hadn't been also our shareholders meeting in California, but I want to just convey how excited we are for all across NetApp with this partnership. This is a partnership between two companies with tremendous market momentum. Kirk took you through all the amazing results that Lenovo has accomplished, number one in supercomputing, number one in performance, number one in x86 reliability, number one in x86 customers sat, number five in supply chain, really impressive and congratulations. Like Lenovo, NetApp is also on a transformation journey, from a storage company to the data authority in hybrid cloud, and we've seen some pretty impressive momentum as well. Just last week we became number one in all flash arrays worldwide, catching EMC and Dell, and we plan to keep on going by them, as we help customers modernize their their data centers with cloud connected flash. We have strategic partnerships with the largest hyperscalers to provide cloud native data services around the globe and we are having success helping our customers build their own private clouds with just, with a new disruptive hyper-converged technology that allows them to operate just like hyperscalers. These three initiatives has fueled NetApp's transformation, and has enabled our customers to change the world with data. And oh by the way, it has also fueled us to have meet or have beaten Wall Street's expectations for nine quarters in a row. These are two companies with tremendous market momentum. We are also building this partnership for long term success. We think about this as phase one and there are two important components to phase one. Kirk took you through them but let me just review them. Part one, the establishment of a multi-year commitment and a collaboration agreement to offer Lenovo branded flash products globally, and as Kurt said in 160 countries. Part two, the formation of a joint venture in PRC, People's Republic of China, that will provide long term commitment, joint product development, and increase go-to-market investment to meet the unique needs to China. Both companies will put in storage technologies and storage expertise to form an independent JV that establishes a data management company in China for China. And while we can dream about what phase two looks like, our entire focus is on making phase one incredibly successful and I'm pleased to repeat what Kirk, is that the first products are orderable and shippable this week in 160 different countries, and you will see our two companies focusing on the here and now. On our joint go to market strategy, you'll see us working together to drive strategic alignment, focused execution, strong governance, and realistic expectations and milestones. And it starts with the success of our customers and our channel partners is job one. Enabling customers to modernize their legacy IT with complete data center solutions, ensuring that our customers get the best from both companies, new offerings the fuel business success, efficiencies to reinvest in game-changing initiatives, and new solutions for new mission-critical applications like data analytics, IoT, artificial intelligence, and machine learning. Channel partners are also top of mind for both our two companies. We are committed to the success of our existing and our future channel partners. For NetApp channel partners, it is new pathways to new segments and to new customers. For Lenovo's channel partners, it is the competitive weapons that now allows you to compete and more importantly win against Dell, EMC, and HP. And the good news for both companies is that our channel partner ecosystem is highly complementary with minimal overlap. Today is the first day of a very exciting partnership, of a partnership that will better serve our customers today and will provide new opportunities to both our companies and to our partners, new products to our customers globally and in China. I am personally very excited. I will be on the board of the JV. And so, I look forward to working with you, partnering with you and serving you as we go forward, and with that, I'd like to invite Kirk back up. (audience applauding) >> Thank you. >> Thank you. >> Well, thank you, Brad. I think it's an exciting overview, and these products will be manufactured in China, in Mexico, in Hungary, and around the world, enabling this amazing supply chain we talked about to deliver in over 160 countries. So thank you Brad, thank you George, for the amazing partnership. So again, that's not all. In Transform 2.0, last year, we talked about the joint ventures that were coming. I want to give you a sneak peek at what you should expect at future Lenovo events around the world. We have this Transform in Beijing in a couple weeks. We'll then be repeating this in 20 different locations roughly around the world over the next year, and I'm excited probably more than ever about what else is coming. Let's talk about Telco 5G and network function virtualization. Today, Motorola phones are certified on 46 global networks. We launched the world's first 5G upgradable phone here in the United States with Verizon. Lenovo DCG sells to 58 telecommunication providers around the world. At Mobile World Congress in Barcelona and Shanghai, you saw China Telecom and China Mobile in the Lenovo booth, China Telecom showing a video broadband remote access server, a VBRAS, with video streaming demonstrations with 2x less jitter than they had seen before. You saw China Mobile with a virtual remote access network, a VRAN, with greater than 10 times the throughput and 10x lower latency running on Lenovo. And this year, we'll be launching a new NFV company, a software company in China for China to drive the entire NFV stack, delivering not just hardware solutions, but software solutions, and we've recently hired a new CEO. You're going to hear more about that over the next several quarters. Very exciting as we try to drive new economics into the networks to deliver these 20 billion devices. We're going to need new economics that I think Lenovo can uniquely deliver. The second on IoT and edge, we've integrated on the device side into our intelligent devices group. With everything that's going to consume electricity computes and communicates, Lenovo is in a unique position on the device side to take advantage of the communications from Motorola and being one of the largest device companies in the world. But this year, we're also going to roll out a comprehensive set of edge gateways and ruggedized industrial servers and edge servers and ISP appliances for the edge and for IoT. So look for that as well. And then lastly, as a service, you're going to see Lenovo delivering hardware as a service, device as a service, infrastructure as a service, software as a service, and hardware as a service, not just as a glorified leasing contract, but with IP, we've developed true flexible metering capability that enables you to scale up and scale down freely and paying strictly based on usage, and we'll be having those announcements within this fiscal year. So Transform 2.0, lots to talk about, NetApp the big news of the day, but a lot more to come over the next year from the Data Center group. So in summary, I'm excited that we have a lot of customers that are going to be on stage with us that you saw in the video. Lots of testimonials so that you can talk to colleagues of yourself. Alamos Gold from Canada, a Canadian gold producer, Caligo for data optimization and privacy, SciNet, the largest supercomputer we've ever put into North America, and the largest in Canada at the University of Toronto will be here talking about climate change. City of Bogota again with our hyper-converged solutions around smart city putting in 3,000 cameras for criminal detection, license plate detection, et cetera, and then more from a channel mid market perspective, Jerry's Foods, which is from my home state of Wisconsin, and Minnesota which has about 57 stores in the specialty foods market, and how they're leveraging our IoT solutions as well. So again, about five times the number of demos that we had last year. So in summary, first and foremost to the customers, thank you for your business. It's been a great journey and I think we're on a tremendous role. You saw from last year, we're trying to build credibility with you. After the largest server portfolio, we're now the fastest-growing server OEM per Gardner, number one in performance, number one in reliability, number one in customer satisfaction, number one in supercomputing. Today, the largest storage portfolio in our history, with the goal of becoming the fastest growing storage company in the world, top three in China, multibillion-dollar collaboration with NetApp. And the transformation is going to continue with new edge gateways, edge servers, NFV solutions, telecommunications infrastructure, and hardware as a service with dynamic metering. So thank you for your time. I've looked forward to meeting many of you over the next day. We appreciate your business, and with that, I'd like to bring up Rod Lappen to introduce our next speaker. Rod? (audience applauding) >> Thanks, boss, well done. Alright ladies and gentlemen. No real secret there. I think we've heard why I might talk about the fourth Industrial Revolution in data and exactly what's going on with that. You've heard Kirk with some amazing announcements, obviously now with our NetApp partnership, talk about 5G, NFV, cloud, artificial intelligence, I think we've hit just about all the key hot topics. It's with great pleasure that I now bring up on stage Mr. Christian Teismann, our senior vice president and general manager of commercial business for both our PCs and our IoT business, so Christian Teismann. (techno music) Here, take that. >> Thank you. I think I'll need that. >> Okay, Christian, so obviously just before we get down, you and I last year, we had a bit of a chat about being in New York. >> Exports. >> You were an expat in New York for a long time. >> That's true. >> And now, you've moved from New York. You're in Munich? >> Yep. >> How does that feel? >> Well Munich is a wonderful city, and it's a great place to live and raise kids, but you know there's no place in the world like New York. >> Right. >> And I miss it a lot, quite frankly. >> So what exactly do you miss in New York? >> Well there's a lot of things in New York that are unique, but I know you spent some time in Japan, but I still believe the best sushi in the world is still in New York City. (all laughing) >> I will beg to differ. I will beg to differ. I think Mr. Guchi-san from Softbank is here somewhere. He will get up an argue very quickly that Japan definitely has better sushi than New York. But obviously you know, it's a very very special place, and I have had sushi here, it's been fantastic. What about Munich? Anything else that you like in Munich? >> Well I mean in Munich, we have pork knuckles. >> Pork knuckles. (Christian laughing) Very similar sushi. >> What is also very fantastic, but we have the real, the real Oktoberfest in Munich, and it starts next week, mid-September, and I think it's unique in the world. So it's very special as well. >> Oktoberfest. >> Yes. >> Unfortunately, I'm not going this year, 'cause you didn't invite me, but-- (audience chuckling) How about, I think you've got a bit of a secret in relation to Oktoberfest, probably not in Munich, however. >> It's a secret, yes, but-- >> Are you going to share? >> Well I mean-- >> See how I'm putting you on the spot? >> In the 10 years, while living here in New York, I was a regular visitor of the Oktoberfest at the Lower East Side in Avenue C at Zum Schneider, where I actually met my wife, and she's German. >> Very good. So, how about a big round of applause? (audience applauding) Not so much for Christian, but more I think, obviously for his wife, who obviously had been drinking and consequently ended up with you. (all laughing) See you later, mate. >> That's the beauty about Oktoberfest, but yes. So first of all, good morning to everybody, and great to be back here in New York for a second Transform event. New York clearly is the melting pot of the world in terms of culture, nations, but also business professionals from all kind of different industries, and having this event here in New York City I believe is manifesting what we are trying to do here at Lenovo, is transform every aspect of our business and helping our customers on the journey of intelligent transformation. Last year, in our transformation on the device business, I talked about how the PC is transforming to personalized computing, and we've made a lot of progress in that journey over the last 12 months. One major change that we have made is we combined all our device business under one roof. So basically PCs, smart devices, and smart phones are now under the roof and under the intelligent device group. But from my perspective makes a lot of sense, because at the end of the day, all devices connect in the modern world into the cloud and are operating in a seamless way. But we are also moving from a device business what is mainly a hardware focus historically, more and more also into a solutions business, and I will give you during my speech a little bit of a sense of what we are trying to do, as we are trying to bring all these components closer together, and specifically also with our strengths on the data center side really build end-to-end customer solution. Ultimately, what we want to do is make our business, our customer's businesses faster, safer, and ultimately smarter as well. So I want to look a little bit back, because I really believe it's important to understand what's going on today on the device side. Many of us have still grown up with phones with terminals, ultimately getting their first desktop, their first laptop, their first mobile phone, and ultimately smartphone. Emails and internet improved our speed, how we could operate together, but still we were defined by linear technology advances. Today, the world has changed completely. Technology itself is not a limiting factor anymore. It is how we use technology going forward. The Internet is pervasive, and we are not yet there that we are always connected, but we are nearly always connected, and we are moving to the stage, that everything is getting connected all the time. Sharing experiences is the most driving force in our behavior. In our private life, sharing pictures, videos constantly, real-time around the world, with our friends and with our family, and you see the same behavior actually happening in the business life as well. Collaboration is the number-one topic if it comes down to workplace, and video and instant messaging, things that are coming from the consumer side are dominating the way we are operating in the commercial business as well. Most important beside technology, that a new generation of workforce has completely changed the way we are working. As the famous workforce the first generation of Millennials that have now fully entered in the global workforce, and the next generation, it's called Generation Z, is already starting to enter the global workforce. By 2025, 75 percent of the world's workforce will be composed out of two of these generations. Why is this so important? These two generations have been growing up using state-of-the-art IT technology during their private life, during their education, school and study, and are taking these learnings and taking these behaviors in the commercial workspace. And this is the number one force of change that we are seeing in the moment. Diverse workforces are driving this change in the IT spectrum, and for years in many of our customers' focus was their customer focus. Customer experience also in Lenovo is the most important thing, but we've realized that our own human capital is equally valuable in our customer relationships, and employee experience is becoming a very important thing for many of our customers, and equally for Lenovo as well. As you have heard YY, as we heard from YY, Lenovo is focused on intelligent transformation. What that means for us in the intelligent device business is ultimately starting with putting intelligence in all of our devices, smartify every single one of our devices, adding value to our customers, traditionally IT departments, but also focusing on their end users and building products that make their end users more productive. And as a world leader in commercial devices with more than 33 percent market share, we can solve problems been even better than any other company in the world. So, let's talk about transformation of productivity first. We are in a device-led world. Everything we do is connected. There's more interaction with devices than ever, but also with spaces who are increasingly becoming smart and intelligent. YY said it, by 2020 we have more than 20 billion connected devices in the world, and it will grow exponentially from there on. And users have unique personal choices for technology, and that's very important to recognize, and we call this concept a digital wardrobe. And it means that every single end-user in the commercial business is composing his personal wardrobe on an ongoing basis and is reconfiguring it based on the work he's doing and based where he's going and based what task he is doing. I would ask all of you to put out all the devices you're carrying in your pockets and in your bags. You will see a lot of you are using phones, tablets, laptops, but also cameras and even smartwatches. They're all different, but they have one underlying technology that is bringing it all together. Recognizing digital wardrobe dynamics is a core factor for us to put all the devices under one roof in IDG, one business group that is dedicated to end-user solutions across mobile, PC, but also software services and imaging, to emerging technologies like AR, VR, IoT, and ultimately a AI as well. A couple of years back there was a big debate around bring-your-own-device, what was called consumerization. Today consumerization does not exist anymore, because consumerization has happened into every single device we build in our commercial business. End users and commercial customers today do expect superior display performance, superior audio, microphone, voice, and touch quality, and have it all connected and working seamlessly together in an ease of use space. We are already deep in the journey of personalized computing today. But the center point of it has been for the last 25 years, the mobile PC, that we have perfected over the last 25 years, and has been the undisputed leader in mobility computing. We believe in the commercial business, the ThinkPad is still the core device of a digital wardrobe, and we continue to drive the success of the ThinkPad in the marketplace. We've sold more than 140 million over the last 26 years, and even last year we exceeded nearly 11 million units. That is about 21 ThinkPads per minute, or one Thinkpad every three seconds that we are shipping out in the market. It's the number one commercial PC in the world. It has gotten countless awards but we felt last year after Transform we need to build a step further, in really tailoring the ThinkPad towards the need of the future. So, we announced a new line of X1 Carbon and Yoga at CES the Consumer Electronics Show. And the reason is not we want to sell to consumer, but that we do recognize that a lot of CIOs and IT decision makers need to understand what consumers are really doing in terms of technology to make them successful. So, let's take a look at the video. (suspenseful music) >> When you're the number one business laptop of all time, your only competition is yourself. (wall shattering) And, that's different. Different, like resisting heat, ice, dust, and spills. Different, like sharper, brighter OLA display. The trackpoint that reinvented controls, and a carbon fiber roll cage to protect what's inside, built by an engineering and design team, doing the impossible for the last 25 years. This is the number one business laptop of all time, but it's not a laptop. It's a ThinkPad. (audience applauding) >> Thank you very much. And we are very proud that Lenovo ThinkPad has been selected as the best laptop in the world in the second year in a row. I think it's a wonderful tribute to what our engineers have been done on this one. And users do want awesome displays. They want the best possible audio, voice, and touch control, but some users they want more. What they want is super power, and I'm really proud to announce our newest member of the X1 family, and that's the X1 extreme. It's exceptionally featured. It has six core I9 intel chipset, the highest performance you get in the commercial space. It has Nvidia XTX graphic, it is a 4K UHD display with HDR with Dolby vision and Dolby Atmos Audio, two terabyte in SSD, so it is really the absolute Ferrari in terms of building high performance commercial computer. Of course it has touch and voice, but it is one thing. It has so much performance that it serves also a purpose that is not typical for commercial, and I know there's a lot of secret gamers also here in this room. So you see, by really bringing technology together in the commercial space, you're creating productivity solutions of one of a kind. But there's another category of products from a productivity perspective that is incredibly important in our commercial business, and that is the workstation business . Clearly workstations are very specifically designed computers for very advanced high-performance workloads, serving designers, architects, researchers, developers, or data analysts. And power and performance is not just about the performance itself. It has to be tailored towards the specific use case, and traditionally these products have a similar size, like a server. They are running on Intel Xeon technology, and they are equally complex to manufacture. We have now created a new category as the ultra mobile workstation, and I'm very proud that we can announce here the lightest mobile workstation in the industry. It is so powerful that it really can run AI and big data analysis. And with this performance you can go really close where you need this power, to the sensors, into the cars, or into the manufacturing places where you not only wannna read the sensors but get real-time analytics out of these sensors. To build a machine like this one you need customers who are really challenging you to the limit. and we're very happy that we had a customer who went on this journey with us, and ultimately jointly with us created this product. So, let's take a look at the video. (suspenseful music) >> My world involves pathfinding both the hardware needs to the various work sites throughout the company, and then finding an appropriate model of desktop, laptop, or workstation to match those needs. My first impressions when I first seen the ThinkPad P1 was I didn't actually believe that we could get everything that I was asked for inside something as small and light in comparison to other mobile workstations. That was one of the I can't believe this is real sort of moments for me. (engine roars) >> Well, it's better than general when you're going around in the wind tunnel, which isn't alway easy, and going on a track is not necessarily the best bet, so having a lightweight very powerful laptop is extremely useful. It can take a Xeon processor, which can support ECC from when we try to load a full car, and when we're analyzing live simulation results. through and RCFT post processor or example. It needs a pretty powerful machine. >> It's come a long way to be able to deliver this. I hate to use the word game changer, but it is that for us. >> Aston Martin has got a lot of different projects going. There's some pretty exciting projects and a pretty versatile range coming out. Having Lenovo as a partner is certainly going to ensure that future. (engine roars) (audience applauds) >> So, don't you think the Aston Martin design and the ThinkPad design fit very well together? (audience laughs) So if Q, would get a new laptop, I think you would get a ThinkPad X P1. So, I want to switch gears a little bit, and go into something in terms of productivity that is not necessarily on top of the mind or every end user but I believe it's on top of the mind of every C-level executive and of every CEO. Security is the number one threat in terms of potential risk in your business and the cost of cybersecurity is estimated by 2020 around six trillion dollars. That's more than the GDP of Japan and we've seen a significant amount of data breach incidents already this years. Now, they're threatening to take companies out of business and that are threatening companies to lose a huge amount of sensitive customer data or internal data. At Lenovo, we are taking security very, very seriously, and we run a very deep analysis, around our own security capabilities in the products that we are building. And we are announcing today a new brand under the Think umbrella that is called ThinkShield. Our goal is to build the world's most secure PC, and ultimately the most secure devices in the industry. And when we looked at this end-to-end, there is no silver bullet around security. You have to go through every aspect where security breaches can potentially happen. That is why we have changed the whole organization, how we look at security in our device business, and really have it grouped under one complete ecosystem of solutions, Security is always something where you constantly are getting challenged with the next potential breach the next potential technology flaw. As we keep innovating and as we keep integrating, a lot of our partners' software and hardware components into our products. So for us, it's really very important that we partner with companies like Intel, Microsoft, Coronet, Absolute, and many others to really as an example to drive full encryption on all the data seamlessly, to have multi-factor authentication to protect your users' identity, to protect you in unsecured Wi-Fi locations, or even simple things like innovation on the device itself, to and an example protect the camera, against usage with a little thing like a thinkShutter that you can shut off the camera. SO what I want to show you here, is this is the full portfolio of ThinkShield that we are announcing today. This is clearly not something I can even read to you today, but I believe it shows you the breadth of security management that we are announcing today. There are four key pillars in managing security end-to-end. The first one is your data, and this has a lot of aspects around the hardware and the software itself. The second is identity. The third is the security around online, and ultimately the device itself. So, there is a breakout on security and ThinkShield today, available in the afternoon, and encourage you to really take a deeper look at this one. The first pillar around productivity was the device, and around the device. The second major pillar that we are seeing in terms of intelligent transformation is the workspace itself. Employees of a new generation have a very different habit how they work. They split their time between travel, working remotely but if they do come in the office, they expect a very different office environment than what they've seen in the past in cubicles or small offices. They come into the office to collaborate, and they want to create ideas, and they really work in cross-functional teams, and they want to do it instantly. And what we've seen is there is a huge amount of investment that companies are doing today in reconfiguring real estate reconfiguring offices. And most of these kind of things are moving to a digital platform. And what we are doing, is we want to build an entire set of solutions that are just focused on making the workspace more productive for remote workforce, and to create technology that allow people to work anywhere and connect instantly. And the core of this is that we need to be, the productivity of the employee as high as possible, and make it for him as easy as possible to use these kind of technologies. Last year in Transform, I announced that we will enter the smart office space. By the end of last year, we brought the first product into the market. It's called the Hub 500. It's already deployed in thousands of our customers, and it's uniquely focused on Microsoft Skype for Business, and making meeting instantly happen. And the product is very successful in the market. What we are announcing today is the next generation of this product, what is the Hub 700, what has a fantastic audio quality. It has far few microphones, and it is usable in small office environment, as well as in major conference rooms, but the most important part of this new announcement is that we are also announcing a software platform, and this software platform allows you to run multiple video conferencing software solutions on the same platform. Many of you may have standardized for one software solution or for another one, but as you are moving in a world of collaborating instantly with partners, customers, suppliers, you always will face multiple software standards in your company, and Lenovo is uniquely positioned but providing a middleware platform for the device to really enable multiple of these UX interfaces. And there's more to come and we will add additional UX interfaces on an ongoing base, based on our customer requirements. But this software does not only help to create a better experience and a higher productivity in the conference room or the huddle room itself. It really will allow you ultimately to manage all your conference rooms in the company in one instance. And you can run AI technologies around how to increase productivity utilization of your entire conference room ecosystem in your company. You will see a lot more devices coming from the node in this space, around intelligent screens, cameras, and so on, and so on. The idea is really that Lenovo will become a core provider in the whole movement into the smart office space. But it's great if you have hardware and software that is really supporting the approach of modern IT, but one component that Kirk also mentioned is absolutely critical, that we are providing this to you in an as a service approach. Get it what you want, when you need it, and pay it in the amount that you're really using it. And within UIT there is also I think a new philosophy around IT management, where you're much more focused on the value that you are consuming instead of investing into technology. We are launched as a service two years back and we already have a significant number of customers running PC as a service, but we believe as a service will stretch far more than just the PC device. It will go into categories like smart office. It might go even into categories like phone, and it will definitely go also in categories like storage and server in terms of capacity management. I want to highlight three offerings that we are also displaying today that are sort of building blocks in terms of how we really run as a service. The first one is that we collaborated intensively over the last year with Microsoft to be the launch pilot for their Autopilot offering, basically deploying images easily in the same approach like you would deploy a new phone on the network. The purpose really is to make new imaging and enabling new PC as seamless as it's used to be in the phone industry, and we have a complete set of offerings, and already a significant number customers have deployed Autopilot with Lenovo. The second major offering is Premier Support, like in the in the server business, where Premier Support is absolutely critical to run critical infrastructure, we see a lot of our customers do want to have Premier Support for their end users, so they can be back into work basically instantly, and that you have the highest possible instant repair on every single device. And then finally we have a significant amount of time invested into understanding how the software as a service really can get into one philosophy. And many of you already are consuming software as a service in many different contracts from many different vendors, but what we've created is one platform that really can manage this all together. All these things are the foundation for a device as a service offering that really can manage this end-to-end. So, implementing an intelligent workplace can be really a daunting prospect depending on where you're starting from, and how big your company ultimately is. But how do you manage the transformation of technology workspace if you're present in 50 or more countries and you run an infrastructure for more than 100,000 people? Michelin, famous for their tires, infamous for their Michelin star restaurant rating, especially in New York, and instantly recognizable by the Michelin Man, has just doing that. Please welcome with me Damon McIntyre from Michelin to talk to us about the challenges and transforming collaboration and productivity. (audience applauding) (electronic dance music) Thank you, David. >> Thank you, thank you very much. >> We on? >> So, how do you feel here? >> Well good, I want to thank you first of all for your partnership and the devices you create that helped us design, manufacture, and distribute the best tire in the world, okay? I just had to say it and put out there, alright. And I was wondering, were those Michelin tires on that Aston Martin? >> I'm pretty sure there is no other tire that would fit to that. >> Yeah, no, thank you, thank you again, and thank you for the introduction. >> So, when we talk about the transformation happening really in the workplace, the most tangible transformation that you actually see is the drastic change that companies are doing physically. They're breaking down walls. They're removing cubes, and they're moving to flexible layouts, new desks, new huddle rooms, open spaces, but the underlying technology for that is clearly not so visible very often. So, tell us about Michelin's strategy, and the technology you are deploying to really enable this corporation. >> So we, so let me give a little bit a history about the company to understand the daunting tasks that we had before us. So we have over 114,000 people in the company under 170 nationalities, okay? If you go to the corporate office in France, it's Clermont. It's about 3,000 executives and directors, and what have you in the marketing, sales, all the way up to the chain of the global CIO, right? Inside of the Americas, we merged in Americas about three years ago. Now we have the Americas zone. There's about 28,000 employees across the Americas, so it's really, it's really hard in a lot of cases. You start looking at the different areas that you lose time, and you lose you know, your productivity and what have you, so there, it's when we looked at different aspects of how we were going to manage the meeting rooms, right? because we have opened up our areas of workspace, our CIO, CEOs in our zones will no longer have an office. They'll sit out in front of everybody else and mingle with the crowd. So, how do you take those spaces that were originally used by an individual but now turn them into like meeting rooms? So, we went through a large process, and looked at the Hub 500, and that really met our needs, because at the end of the day what we noticed was, it was it was just it just worked, okay? We've just added it to the catalog, so we're going to be deploying it very soon, and I just want to again point that I know everybody struggles with this, and if you look at all the minutes that you lose in starting up a meeting, and we know you know what I'm talking about when I say this, it equates to many many many dollars, okay? And so at the end the day, this product helps us to be more efficient in starting up the meeting, and more productive during the meeting. >> Okay, it's very good to hear. Another major trend we are seeing in IT departments is taking a more hands-off approach to hardware. We're seeing new technologies enable IT to create a more efficient model, how IT gets hardware in the hands of end-users, and how they are ultimately supporting themselves. So what's your strategy around the lifecycle management of the devices? >> So yeah you mentioned, again, we'll go back to the 114,000 employees in the company, right? You imagine looking at all the devices we use. I'm not going to get into the number of devices we have, but we have a set number that we use, and we have to go through a process of deploying these devices, which we right now service our own image. We build our images, we service them through our help desk and all that process, and we go through it. If you imagine deploying 25,000 PCs in a year, okay? The time and the daunting task that's behind all that, you can probably add up to 20 or 30 people just full-time doing that, okay? So, with partnering with Lenovo and their excellent technology, their technical teams, and putting together the whole process of how we do imaging, it now lifts that burden off of our folks, and it shifts it into a more automated process through the cloud, okay? And, it's with the Autopilot on the end of the project, we'll have Autopilot fully engaged, but what I really appreciate is how Lenovo really, really kind of got with us, and partnered with us for the whole process. I mean it wasn't just a partner between Michelin and Lenovo. Microsoft was also partnered during that whole process, and it really was a good project that we put together, and we hope to have something in a full production mode next year for sure. >> So, David thank you very, very much to be here with us on stage. What I really want to say, customers like you, who are always challenging us on every single aspect of our capabilities really do make the big difference for us to get better every single day and we really appreciate the partnership. >> Yeah, and I would like to say this is that I am, I'm doing what he's exactly said he just said. I am challenging Lenovo to show us how we can innovate in our work space with your devices, right? That's a challenge, and it's going to be starting up next year for sure. We've done some in the past, but I'm really going to challenge you, and my whole aspect about how to do that is bring you into our workspace. Show you how we make how we go through the process of making tires and all that process, and how we distribute those tires, so you can brainstorm, come back to the table and say, here's a device that can do exactly what you're doing right now, better, more efficient, and save money, so thank you. >> Thank you very much, David. (audience applauding) Well it's sometimes really refreshing to get a very challenging customers feedback. And you know, we will continue to grow this business together, and I'm very confident that your challenge will ultimately help to make our products even more seamless together. So, as we now covered productivity and how we are really improving our devices itself, and the transformation around the workplace, there is one pillar left I want to talk about, and that's really, how do we make businesses smarter than ever? What that really means is, that we are on a journey on trying to understand our customer's business, deeper than ever, understanding our customer's processes even better than ever, and trying to understand how we can help our customers to become more competitive by injecting state-of-the-art technology in this intelligent transformation process, into core processes. But this cannot be done without talking about a fundamental and that is the journey towards 5G. I really believe that 5G is changing everything the way we are operating devices today, because they will be connected in a way like it has never done before. YY talked about you know, 20 times 10 times the amount of performance. There are other studies that talk about even 200 times the performance, how you can use these devices. What it will lead to ultimately is that we will build devices that will be always connected to the cloud. And, we are preparing for this, and Kirk already talked about, and how many operators in the world we already present with our Moto phones, with how many Telcos we are working already on the backend, and we are working on the device side on integrating 5G basically into every single one of our product in the future. One of the areas that will benefit hugely from always connected is the world of virtual reality and augmented reality. And I'm going to pick here one example, and that is that we have created a commercial VR solution for classrooms and education, and basically using consumer type of product like our Mirage Solo with Daydream and put a solution around this one that enables teachers and schools to use these products in the classroom experience. So, students now can have immersive learning. They can studying sciences. They can look at environmental issues. They can exploring their careers, or they can even taking a tour in the next college they're going to go after this one. And no matter what grade level, this is how people will continue to learn in the future. It's quite a departure from the old world of textbooks. In our area that we are looking is IoT, And as YY already elaborated, we are clearly learning from our own processes around how we improve our supply chain and manufacturing and how we improve also retail experience and warehousing, and we are working with some of the largest companies in the world on pilots, on deploying IoT solutions to make their businesses, their processes, and their businesses, you know, more competitive, and some of them you can see in the demo environment. Lenovo itself already is managing 55 million devices in an IoT fashion connecting to our own cloud, and constantly improving the experience by learning from the behavior of these devices in an IoT way, and we are collecting significant amount of data to really improve the performance of these systems and our future generations of products on a ongoing base. We have a very strong partnership with a company called ADLINK from Taiwan that is one of the leading manufacturers of manufacturing PC and hardened devices to create solutions on the IoT platform. The next area that we are very actively investing in is commercial augmented reality. I believe augmented reality has by far more opportunity in commercial than virtual reality, because it has the potential to ultimately improve every single business process of commercial customers. Imagine in the future how complex surgeries can be simplified by basically having real-time augmented reality information about the surgery, by having people connecting into a virtual surgery, and supporting the surgery around the world. Visit a furniture store in the future and see how this furniture looks in your home instantly. Doing some maintenance on some devices yourself by just calling the company and getting an online manual into an augmented reality device. Lenovo is exploring all kinds of possibilities, and you will see a solution very soon from Lenovo. Early when we talked about smart office, I talked about the importance of creating a software platform that really run all these use cases for a smart office. We are creating a similar platform for augmented reality where companies can develop and run all their argumented reality use cases. So you will see that early in 2019 we will announce an augmented reality device, as well as an augmented reality platform. So, I know you're very interested on what exactly we are rolling out, so we will have a first prototype view available there. It's still a codename project on the horizon, and we will announce it ultimately in 2019, but I think it's good for you to take a look what we are doing here. So, I just wanted to give you a peek on what we are working beyond smart office and the device productivity in terms of really how we make businesses smarter. It's really about increasing productivity, providing you the most secure solutions, increase workplace collaboration, increase IT efficiency, using new computing devices and software and services to make business smarter in the future. There's no other company that will enable to offer what we do in commercial. No company has the breadth of commercial devices, software solutions, and the same data center capabilities, and no other company can do more for your intelligent transformation than Lenovo. Thank you very much. (audience applauding) >> Thanks mate, give me that. I need that. Alright, ladies and gentlemen, we are done. So firstly, I've got a couple of little housekeeping pieces at the end of this and then we can go straight into going and experiencing some of the technology we've got on the left-hand side of the room here. So, I want to thank Christian obviously. Christian, awesome as always, some great announcements there. I love the P1. I actually like the Aston Martin a little bit better, but I'll take either if you want to give me one for free. I'll take it. We heard from YY obviously about the industry and how the the fourth Industrial Revolution is impacting us all from a digital transformation perspective, and obviously Kirk on DCG, the great NetApp announcement, which is going to be really exciting, actually that Twitter and some of the social media panels are absolutely going crazy, so it's good to see that the industry is really taking some impact. Some of the publications are really great, so thank you for the media who are obviously in the room publishing right no. But now, I really want to say it's all of your turn. So, all of you up the back there who are having coffee, it's your turn now. I want everyone who's sitting down here after this event move into there, and really take advantage of the 15 breakouts that we've got set there. There are four breakout sessions from a time perspective. I want to try and get you all out there at least to use up three of them and use your fourth one to get out and actually experience some of the technology. So, you've got four breakout sessions. A lot of the breakout sessions are actually done twice. If you have not downloaded the app, please download the app so you can actually see what time things are going on and make sure you're registering correctly. There's a lot of great experience of stuff out there for you to go do. I've got one quick video to show you on some of the technology we've got and then we're about to close. Alright, here we are acting crazy. Now, you can see obviously, artificial intelligence machine learning in the browser. God, I hate that dance, I'm not a Millenial at all. It's effectively going to be implemented by healthcare. I want you to come around and test that out. Look at these two guys. This looks like a Lenovo management meeting to be honest with you. These two guys are actually concentrating, using their brain power to race each others in cars. You got to come past and give that a try. Give that a try obviously. Fantastic event here, lots of technology for you to experience, and great partners that have been involved as well. And so, from a Lenovo perspective, we've had some great alliance partners contribute, including obviously our number one partner, Intel, who's been a really big loyal contributor to us, and been a real part of our success here at Transform. Excellent, so please, you've just seen a little bit of tech out there that you can go and play with. I really want you, I mean go put on those black things, like Scott Hawkins our chief marketing officer from Lenovo's DCG business was doing and racing around this little car with his concentration not using his hands. He said it's really good actually, but as soon as someone comes up to speak to him, his car stops, so you got to try and do better. You got to try and prove if you can multitask or not. Get up there and concentrate and talk at the same time. 62 different breakouts up there. I'm not going to go into too much detai, but you can see we've got a very, very unusual numbering system, 18 to 18.8. I think over here we've got a 4849. There's a 4114. And then up here we've got a 46.1 and a 46.2. So, you need the decoder ring to be able to understand it. Get over there have a lot of fun. Remember the boat leaves today at 4:00 o'clock, right behind us at the pier right behind us here. There's 400 of us registered. Go onto the app and let us know if there's more people coming. It's going to be a great event out there on the Hudson River. Ladies and gentlemen that is the end of your keynote. I want to thank you all for being patient and thank all of our speakers today. Have a great have a great day, thank you very much. (audience applauding) (upbeat music) ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ♪ ♪ Ba da bop bop bop ba do ♪
SUMMARY :
and those around you, Ladies and gentlemen, we ask that you please take an available seat. Ladies and gentlemen, once again we ask and software that transform the way you collaborate, Good morning everyone! Ooh, that was pretty good actually, and have a look at all of the breakout sessions. and the industries demand to be more intelligent, and the strategies that we have going forward I'm going to give you the stage and allow you to say is that the first products are orderable and being one of the largest device companies in the world. and exactly what's going on with that. I think I'll need that. Okay, Christian, so obviously just before we get down, You're in Munich? and it's a great place to live and raise kids, And I miss it a lot, but I still believe the best sushi in the world and I have had sushi here, it's been fantastic. (Christian laughing) the real Oktoberfest in Munich, in relation to Oktoberfest, at the Lower East Side in Avenue C at Zum Schneider, and consequently ended up with you. and is reconfiguring it based on the work he's doing and a carbon fiber roll cage to protect what's inside, and that is the workstation business . and then finding an appropriate model of desktop, in the wind tunnel, which isn't alway easy, I hate to use the word game changer, is certainly going to ensure that future. And the core of this is that we need to be, and distribute the best tire in the world, okay? that would fit to that. and thank you for the introduction. and the technology you are deploying and more productive during the meeting. how IT gets hardware in the hands of end-users, You imagine looking at all the devices we use. and we really appreciate the partnership. and it's going to be starting up next year for sure. and how many operators in the world Ladies and gentlemen that is the end of your keynote.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David | PERSON | 0.99+ |
George | PERSON | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
Kirk | PERSON | 0.99+ |
Lenovo | ORGANIZATION | 0.99+ |
Brad | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
EMC | ORGANIZATION | 0.99+ |
George Kurian | PERSON | 0.99+ |
Michelin | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Nike | ORGANIZATION | 0.99+ |
Walmart | ORGANIZATION | 0.99+ |
Qualcomm | ORGANIZATION | 0.99+ |
Disney | ORGANIZATION | 0.99+ |
California | LOCATION | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
HP | ORGANIZATION | 0.99+ |
France | LOCATION | 0.99+ |
Japan | LOCATION | 0.99+ |
Canada | LOCATION | 0.99+ |
China | LOCATION | 0.99+ |
Nutanix | ORGANIZATION | 0.99+ |
Americas | LOCATION | 0.99+ |
Christian Teismann | PERSON | 0.99+ |
New York | LOCATION | 0.99+ |
Kirk Skaugen | PERSON | 0.99+ |
Malaysia | LOCATION | 0.99+ |
AMEX | ORGANIZATION | 0.99+ |
Nvidia | ORGANIZATION | 0.99+ |
Rod Lappen | PERSON | 0.99+ |
University College London | ORGANIZATION | 0.99+ |
Brazil | LOCATION | 0.99+ |
Kurt | PERSON | 0.99+ |
2016 | DATE | 0.99+ |
Germany | LOCATION | 0.99+ |
17 | QUANTITY | 0.99+ |
2019 | DATE | 0.99+ |
AMD | ORGANIZATION | 0.99+ |
Verizon | ORGANIZATION | 0.99+ |
India | LOCATION | 0.99+ |
seven | QUANTITY | 0.99+ |
Hudson River | LOCATION | 0.99+ |
two | QUANTITY | 0.99+ |
10x | QUANTITY | 0.99+ |
NetApp | ORGANIZATION | 0.99+ |
Motorola | ORGANIZATION | 0.99+ |
US | LOCATION | 0.99+ |
South Africa | LOCATION | 0.99+ |
Michelle Dennedy, Cisco | Data Privacy Day 2018
(screen switch sound) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're at the place that you should be. Where is that you say? Linked-In's new downtown San Francisco's headquarters at Data Privacy Day 2018. It's a small, but growing event. Talking, really a lot about privacy. You know we talk a lot about security all the time. But privacy is this kind of other piece of security and ironically it's often security that's used as a tool to kind of knock privacy down. So it's an interesting relationship. We're really excited to be joined by our first guest Michelle Dennedy. We had her on last year, terrific conversation. She's the Chief Privacy Officer at Cisco and a keynote speaker here. Michelle, great to see you again. >> Great to see you and happy privacy day. >> Thank you, thank you. So it's been a year, what has kind of changed on the landscape from a year ago? >> Well, we have this little thing called GDPR. >> Jeff: That's right. >> You know, it's this little old thing the General Data Protection Regulation. It's been, it was enacted almost two years ago. It will be enforced May 25, 2018. So everyone's getting ready. It's not Y2K, it's the beginning of a whole new era in data. >> But the potential penalties, direct penalties. Y2K had a lot of indirect penalties if the computers went down that night. But this has significant potential financial penalties that are spelled out very clearly. Multiples of revenue. >> Absolutely >> So what are people doing? How are they getting ready? Obviously, the Y2k, great example. It was a scramble. No one really knew what was going to happen. So what are people doing to get ready for this? >> Yeah, I think its, I like the analogy it ends because January one, after 2000, we figured it out, right? Or it didn't happen because of our prep work. In this case, we have had 20 years of lead time. 1995, 1998, we had major pieces of legislation saying know thy data, know where it's going, value it and secure it, and make sure your users know where and what it is. We didn't do a whole lot about it. There are niche market people, like myself, who said "Oh my gosh, this is really important." but now the rest of the world has to wake up and pay attention because four percent of global turnover is not chump change in a multi-billion dollar business and in a small business it could be the only available revenue stream that you wanted to spend innovating-- >> Right, right >> rather than recovering. >> But the difficulty again, as we've talked about before is not as much the companies. I mean obviously the companies have a fiduciary responsibility. But the people-- >> Yes. >> On the end of the data, will hit the ULA as we talked about before without thinking about it. They're walking around sharing all this information. They're logging in to public WiFi's and we actually even just got a note at theCube the other day asking us what our impact, are we getting personal information when we're filming stuff that's going out live over the internet. So I think this is a kind of weird implication. >> I wish I could like feel sad for that but there's a part of my privacy soul that's like, "Yes! People should be asking. "What are you doing with my image after this? "How will you repurpose this video? "Who are my users looking at it?" I actually, I think it's difficult at first to get started. But once you know how to do it, it's like being a nutritionist and a chef all in one. Think about the days before nutrition labels for food. When it was first required, and very high penalties of the same quanta of the GDPR and some of these other Asiatic countries are the same, people simply didn't know what they were eating. >> Right. >> People couldn't take care of their health and look for gluten free, or vitamin E, or vitamin A, or omega whatever. Now, it's a differentiator. Now to get there, people had to test food. They had to understand sources. They had to look at organics and pesticides and say, "This is something that the populace wants." And look at the innovation and even something as basic and integral to your humanity as food now we're looking at what is the story that we're sharing with one another and can we put the same effort in to get the same benefits out. Putting together a nutrition label for your data, understanding the mechanisms, understanding the life cycle flow. It's everything and is it a pain in the tuckus some times? You betcha. Why do it? A: You're going to get punished if you don't. But more importantly, B: It's the gateway to innovation. >> Right. It's just funny. We talked to a gal in a security show and she's got 100% hit rate. She did this at Black Hat, social engineering access to anything. Basically by calling, being a sweetheart, asking the right questions and getting access to people's-- >> Exactly. >> So where does that fit in terms of the company responsibility, when they are putting everything, as much as they can in their place. Here like at AWS too you'll hear, "Somebody has a security breach at AWS." Well it wasn't the security of the AWS system, it was somebody didn't hit a toggle switch in the right position. >> That's right. >> So it's pretty complex versus if you're a food manufacturer, hopefully you have pretty good controls as to what you put in the food and then you can come back and define. So it's a really complicated problem when it's the users who you're tryna protect that are often the people that are causing the most problems. >> Absolutely. And every analogy has its failures right? >> Right, right. >> We'll stick with food for a while. >> Oh no I like the food one. >> Alright it's something you can understand. >> Y2K is kind of old, right. >> Yeah, yeah. But think about like, have we made, I was going to use a brand name, a spray on cheese chip, have we made that illegal? That stuff is terrible for your body. We have an obesity crisis here in North America certainly, and other parts of the world, and yet we let people choose what they're putting into their bodies. At the same time we're educating consumers about what the new food chart should look like, we're listening to maybe sugar isn't as good as we thought it was, maybe fat isn't as bad. So giving people some modicum of control doesn't mean that people are always going to make the right choices but at least we give them a running chance by being able to test and separate and be accountable for at least what we put into the ingredients. >> Right, right, okay so what are some of the things you're working on at Cisco? I think you said before we go on the air you have a new report published, study, what's going on? I do, I'm ashamed Jeff to be so excited about data but, I'm excited about data. (laughter) >> Everybody's excited about data. >> Are they? >> Absolutely. >> Alright let's geek out for a moment. >> So what did you find out? >> So we actually did the first metrics reporting correlating data privacy maturity models and asking customers, 3,000 customers plus in 20 different countries from companies of all sizes S and B's to very large corps, are you experiencing a slow down based on the fears of privacy and security problems? We found that 68 percent of these questions said yes indeed we are, and we asked them what is the average timing of slowing down closing business based on these fears. We found a big spread from over 16 and a half weeks all the way down to two weeks. We said that's interesting. We asked that same set of customers, where would you put yourself on a zero to five ad hoc to optimized privacy maturity model. What we found was if you were even middle of the road a three or a four, to having some awareness, having some basic tools, you can lower your risk of loss, by up to 70 percent. I'm making it sound like it's causation, it's just a correlation but it was such a strong one that when we ran the data last year I didn't run the report, because we weren't sure enough. So we ran it again and got the same quantum with a larger sample size. So now I feel pretty confident that the self reporting of data maturity is related to closing business more efficiently and faster on the up side and limiting your losses on the down side. >> Right, so where are the holes? What's the easiest way to get from a zero or one to a three or a four, I don't even want to say three or four, two or three in terms of behaviors, actions, things that people do? >> So you're scratching on my geeky legal underbelly here. (laughter) I'm going to say it depends Jeff. >> Of course of course. >> Couching this and I'm not your lawyer. >> No forward licking statements. >> No forward licking statement. Well, for a reason what the heck. We're looking forward not back. It really does depend on your organization. So, Cisco, my company we are known for engineering. In fact on the down side of our brand, we're known for having trouble letting go until everything is perfect. So, sometimes it's slower than you want cause we want to be so perfect. In that culture my coming into the engineering with their bonafides and their pride in their brand, that's where I start to attack with privacy engineering education, and looking at specs and requirements for the products and services. So hitting my company where it lives in engineering was a great place to start to build in maturity. In a company like a large telco or healthcare or highly regulated industry, come from the legal aspect. Start with compliance if that's what is effective for your organization. >> Right, right. >> So look at where you are in your organization and then hit it there first, and then you can fill up, document those policies, make sure training is fun. Don't be afraid to embarrass yourself. It's kind of my mantra these days. Be a storyteller, make it personal to your employees and your customers, and actually care. >> Right, hopefully, hopefully. >> It's a weird thing to say right, you actually should give a beep >> Have a relationship with people. When you look at how companies moved that curve from last year to this year was it a significant movement? Was it more than you thought less than you thought? Is it appropriate for what's coming up? >> We haven't tracked individual companies time after time cause it's double blind study. So it's survey data. The survey numbers are statistically relevant. That when you have a greater level of less ad hoc and more routinized systems, more privacy policies that are stated and transparent, more tools and technologies that are implemented, measured, tested, and more board level engagement you start to see that even if you have a cyber risk the chances that it's over 500 thousand per event goes down precipitously. If you are at that kind of mid range level of maturity you can take off 70 percent of the lag time and go from about four months of closing a deal that has privacy and security implications to somewhere around two to three weeks. That's a lot of time. Time in business is everything. We run by the quarter. >> Yeah well if you don't sell it today, you never get today back. You might sell it tomorrow, but you never get today back. Alright so we just flipped the calendar. I can't believe it's 2018. That's a whole different conversation. (laughter) What are your priorities for 2018 as you look forward? >> Oh my gosh. I am hungry for privacy engineering to become a non niche topic. We're going out to universities. We're going out to high schools. We're doing innovation challenges within Cisco to make innovating around data a competitive advantage for everyone, and come up with a common language. So that if you're a user interface guy you're thinking about data control and the stories that you're telling about what the real value is behind your thing. If you are a compliance guy or girl, how do I efficiently measure? How do I come back again in three months without having compliance fatigue, because after the first couple days of enforcement of GDPR and some of these other laws come into force it's really easy to say whew, it didn't hit me. I've got no problem now. >> Right. >> That is not the attitude I want people to take. I want them to take real ownership over this information. >> It's very ana logist to what's happening in security. >> Very much so. >> Just baking it in all the way. It's not a walled garden. You can't defend the perimeter anymore, but it's got to be baked into everything. >> It's no mistake that it's like the security world. They're about 25 years ahead of us in data privacy and protection. My boss is our chief trust officer who formally was our CISO I am absolutely free riding on all the progresses the security people have made. We're just really complimenting each others skills, and getting out into other parts of the business in addition to the technical part of the business. >> Exciting times. >> Yeah, it's going to be fun. >> Well great to catch up and >> Yeah you too. >> We'll let you go. Unfortunately we're out of time. We'll see you in 2019. >> Data Privacy Day. >> Data Privacy Day. She's Michelle Dennedy, I'm Jeff Frank. You're watching theCUBE. Thanks for tuning in from Data Privacy Day 2018. (music)
SUMMARY :
We're at the place that you should be. on the landscape from a year ago? it's the beginning of a whole new era in data. But the potential penalties, direct penalties. Obviously, the Y2k, great example. and in a small business it could be the only available is not as much the companies. They're logging in to public WiFi's and we actually even I actually, I think it's difficult at first to get started. But more importantly, B: It's the gateway to innovation. asking the right questions and getting access to people's-- in the right position. as to what you put in the food And every analogy has its failures right? and other parts of the world, and yet we let people I think you said before we go on the air you have a new So now I feel pretty confident that the self reporting I'm going to say it depends Jeff. In that culture my coming into the engineering with So look at where you are in your organization Was it more than you thought less than you thought? We run by the quarter. You might sell it tomorrow, but you never get today back. it's really easy to say whew, That is not the attitude I want people to take. Just baking it in all the way. and getting out into other parts of the business We'll see you in 2019. Thanks for tuning in from Data Privacy Day 2018.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Michelle Dennedy | PERSON | 0.99+ |
Jeff Frank | PERSON | 0.99+ |
Jeff | PERSON | 0.99+ |
May 25, 2018 | DATE | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
100% | QUANTITY | 0.99+ |
2018 | DATE | 0.99+ |
1998 | DATE | 0.99+ |
20 years | QUANTITY | 0.99+ |
Y2K | ORGANIZATION | 0.99+ |
North America | LOCATION | 0.99+ |
70 percent | QUANTITY | 0.99+ |
Michelle | PERSON | 0.99+ |
1995 | DATE | 0.99+ |
tomorrow | DATE | 0.99+ |
2019 | DATE | 0.99+ |
General Data Protection Regulation | TITLE | 0.99+ |
last year | DATE | 0.99+ |
zero | QUANTITY | 0.99+ |
two weeks | QUANTITY | 0.99+ |
68 percent | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
four | QUANTITY | 0.99+ |
three | QUANTITY | 0.99+ |
GDPR | TITLE | 0.99+ |
3,000 customers | QUANTITY | 0.99+ |
four percent | QUANTITY | 0.99+ |
Y2k | ORGANIZATION | 0.99+ |
two | QUANTITY | 0.99+ |
January one | DATE | 0.99+ |
Data Privacy Day | EVENT | 0.99+ |
20 different countries | QUANTITY | 0.99+ |
this year | DATE | 0.99+ |
a year ago | DATE | 0.99+ |
three months | QUANTITY | 0.98+ |
five | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
Data Privacy Day 2018 | EVENT | 0.98+ |
about four months | QUANTITY | 0.98+ |
first guest | QUANTITY | 0.97+ |
Linked-In | ORGANIZATION | 0.97+ |
first couple days | QUANTITY | 0.97+ |
up to 70 percent | QUANTITY | 0.97+ |
first metrics | QUANTITY | 0.97+ |
three weeks | QUANTITY | 0.97+ |
over 16 and a half weeks | QUANTITY | 0.97+ |
first | QUANTITY | 0.97+ |
about 25 years | QUANTITY | 0.96+ |
multi-billion dollar | QUANTITY | 0.95+ |
San Francisco | LOCATION | 0.94+ |
theCube | ORGANIZATION | 0.94+ |
vitamin A | OTHER | 0.94+ |
around two | QUANTITY | 0.94+ |
2000 | DATE | 0.9+ |
over 500 thousand per event | QUANTITY | 0.9+ |
a year | QUANTITY | 0.87+ |
Black Hat | ORGANIZATION | 0.85+ |
two years ago | DATE | 0.85+ |
vitamin E | OTHER | 0.83+ |
theCUBE | ORGANIZATION | 0.78+ |
Asiatic | OTHER | 0.76+ |
double blind study | QUANTITY | 0.75+ |
telco | ORGANIZATION | 0.75+ |
almost | DATE | 0.67+ |
Privacy Officer | PERSON | 0.65+ |
ULA | ORGANIZATION | 0.63+ |
quarter | DATE | 0.53+ |
Andrew Hillier, Densify | AWS re:Invent
>> Announcer: Live from Las Vegas, it's theCUBE, covering AWS re:Invent 2017, presented by AWS, Intel, and our ecosystem of partners. >> Hi, I'm Stu Miniman. I'm here with my co-host Keith Townsend, and you're watching theCUBE's live coverage of AWS re:Invent 2017 here in the heart of the Sands Convention Center in Las Vegas, 43,000 people in attendance, spread out across many of the facilities here in Vegas, So lots of lines, lots of things going on. Happy to welcome back to the program Andrew Hillier, who is the CTO and co-founder of Densify. Great to see you, how have you been? >> It's good to be back. It's been great, been loving the show. It's a huge show. >> All right, so we're pretty excited, because we've got a double set here at Amazon's show for the first time, it's our fifth year doing the show. There's another show that we interviewed at where we've had a double set for a few years. That, of course, is VMWorld. We've been watching this change, as AWS says, it's from the old guard, you know, that cloud native if you will. Talk to us a little bit about what Densify's doing, how you fit into the ecosystem here? >> Sure, yeah, it's a very different show than I think the one two months ago, also right here, I think. Even this morning at the keynote, they were referring to that as what you've been doing the last 10 years, and this is all very forward looking, much more vision, and what we're finding is that a lot of the challenges of the past are coming right back again. When you start moving to this new operational model, how do you optimize it, how do save money, how do you keep pace with change? So today on the keynote was a very different thing than you would have seen two months ago. It's all about innovation, innovation, innovation, not just new feature, new feature. >> Andrew, I want you to talk about the customers that you talk to, the mindset. Are there VMware customers and AWS customers? How are they approaching things like innovation and strategy? >> Well I think everybody's kinda caught in between, and you know, people talk about hybrid a lot, and what we find is that a lot people's mentality is there's really the cloud, and then all that other stuff, and one is just one that I divest or get rid of and one is really where the mind share is. So even though people might have 10 times as much in VMs as they do in the cloud, they're just thinking about the cloud, that's what they... And then there's a lot of questions about how do I move there, how do I run there, how do I get that bill down, because the bill's are very, very high, you know when you start running there. And there's constantly new services, like saw this morning, that also can help make that bill even higher. So how do you get there in a safe way, safety and efficiency. >> Densify focuses on that cloud optimization piece. We used to talk about VMware when it first started, it was like, oh great, utilization efficiencies, to be able to kind of consolidate, but we had VM sprawl. And now there's cloud sprawl and containers, people are trying to figure out however things. What are some of the key challenges that you see from customers, what are some of the big places that they can really save a lot of money? >> Sure, yeah, you know in the virtual world it's all about what we would call playing Tetris, where you look at the workload patterns, we do a lot of workload pattern analysis, and say, that's busy in the morning, that's busy at night, put them on the same host, it's cheaper, and runs better. And you can you get huge efficiency gains in those environments. As you move to the cloud, it starts to look a bit different, and buying small, medium and large. So we do the same pattern analysis, but say, yeah you're on an M3, you should be on a T2, you're on the wrong thing. And we're seeing around 40% savings on average just by pointing and doing that. So we're seeing massive... You know, it's a different kind of opportunity, but it's equal in magnitude, the savings. We saw one customer last week, was 57% savings by just getting the cloud watch data, analyzing the patterns and saying, you're buying the wrong stuff. Now where this is all going interestingly is that when you start to move to containers, that game of Tetris comes back into play again. It's a much more advanced analytics to say, yeah, how do I combine my workloads to make them fit on the smallest footprint? You know, hence Densify, you know, that's what we do. And we're seeing savings of upwards of 80% when you do that. So there's huge savings with the right analytics. >> So with the analytics, much different conversation as you mentioned than it was a few years ago to now. You wouldn't go to a data center manager and say, you know what, I can really save you on infrastructure costs by optimizing your efficiency. You know what, sunk costs, I don't care that, you know, if I'm oversubscribed, not a big deal. In the cloud, that is a tangible thing. Someone has to pay that op ex bill. But with that said, even with the optimization, that can sometimes go into reverse, especially with all the announcements today. You gotta figure out, you know what, am I optimal in the cloud or can I use some of these older assets in my data center, move workloads back there? Do you guys help with that decision matrix sort of thing, you know what, do I run what's existing in the cloud that's not elastic, back in the data center? >> Yeah you can do that and whatever else, absolutely. People do ask that question. And again it comes down to overcommit. If I can actually take multiple workloads, stack them up, some workloads, that's what's cheaper than others, and it really depends on the workload. So if you're running in the cloud, we can say, those are good where they are, we're working on reports to say that's better off in a Docker container in the cloud. Or as you say, what if I put them back on-prem? You can do that too. Now that's kind of regressive. We don't see a lot of people, they're curious about that number, but we don't see people moving backwards. But in the cloud there's so many different ways you can run the workloads, and there are wildly different cost structures. Again, if you have very peaky workloads that are just busy for a short period of time, to put them in a standard large instance is very expensive. >> So let's talk about that cloud Tetris in the cloud. Because with containers obviously, I can now oversubscribe a bit, 'cause I couldn't do that before. You know if I had a EC2 instance, a M2 large, if I was too big, I'm just too big and I can't oversubscribe that, and I pay for what I use, there's advantages and disadvantages. How does that impact the conversations, the design conversations customers are having over stuff like we heard, EKF this morning, Fargate, and all these container orchestration management tools. How does that complicate the conversation? >> Yeah, it's interesting because you have a workload that's not doing very much, but you can't turn it off, it's doing something, and then peaks once a day, and you put it in a large M4 or whatever, you're gonna pay for the area, you're gonna pay for it all even though you're only doing a little bit of work, right? So that can be very expensive. That same type of workload, if you put it in a container with other ones that have a similar pattern but at different times, they all stack and gravitate nicely. So that's where we see a huge opportunity to run much higher density and lower cost, but the big challenge we're seeing that affects all the technologies that interest us this morning is that from a development group, they don't know how to say what those containers need. >> Right. >> So we're seeing a lot of Kubernetes environments, lot of ECS environments that are running very low utilization, 'cause the developers are asking for two CPUs for each container, and it scales based on the number of CPUs or the amount of memory, the resources, not the utilization. So we're finding it's like history repeating itself. I've got the scale group running on containers, very low utilization, and coming to say, well, wait a minute now, that's all wrong, if you do this and you recommend that our analytics give you a bunch of very prescriptive actions, you're gonna run much higher utilization, your bill goes way down again. So it's the same, you know lack of visibility, lack of analytics to figure out how to optimize that equation. >> Andrew, one of the biggest challenges coming to a show like this is things change so fast. Last year or two, heard a lot of grumbling from customers about oh reserved instances kinda locked me in, it was inflexible, Google was better, wait, Amazon changed what they're doing. This year, a lot of new things on spot instances. The spot market's been around for years, but didn't seem to have a lot of utilization, Amazon was like, no, this is gonna be it, if you don't need to have it now, we're gonna save you 90% if you do that. So you help with that. What are you seeing and hearing from customers and how do they take advantage, and you know, don't get locked into some huge bill? >> Yeah absolutely. Well in general, we find that the pace of change is fantastic for everybody if you know how to figure it out. So what we find in customers is that just keeping track of, you know we have a lot of customers that haven't seen this keynote this morning. They may not be aware of all this stuff yet. So, and even if you are aware, do you know how it impacts you? You know, can I actually leverage that M5, how does that affect me? So that's one of the things that, the strength of us is that we deliver a service, not a product, not a tool. So it's analytics, SAS-hosted analytics, very powerful analytics, with a densification advisor, a human that comes with it. So we're on top of these things. So when new stuff comes out, for example, we're sending a message out to our customers right now saying, we're on it, there's three new instance types came out this morning, we're analyzing your environment to tell you if you can use them. So what we're seeing is a kind a conversion to say that customers, they can't figure it all out anymore. It used to be that in the old world I could buy gear once every three years, I could understand that gear and I could understand my apps. Now you have to pick. Do you want to follow all the news in the cloud or do you want to work on your apps? And what we do is say, work on your business services, your differentiation, we will tell you how it maps to whatever Amazon's selling today, and don't worry about that, and our advisors just do that for you. >> Yeah Andrew I laugh, I think how much of my career was it like, oh well, we're managing that on a spreadsheet and we (mumbles) No no, >> No, not anymore. >> Forget about it. I'm curious. The bare metal instance is one there's been a little bit of buzz. It's what they designed for the VMware on AWS environment and offered it, but it's big honking machine, it's super-expensive, but have to think, if you're working with them, you could probably help customers optimize, get great utilization. What do you see that being used for? Is that something that you think your customers are gonna be interested in? >> Absolutely, I think it goes back to that playing Tetris discussion. So if you take one of these big bare metal nodes and run Docker containers stacked properly, we see that, in one study we did it's 82% cheaper than if you put them in small, medium and large instances. >> Stu: Wow. >> Again, it's because of the shapes and patterns of the workloads, and they can dovetail. So there is a place for these big monstrous machines, like the X1 32 extra large is all of those things. If you use them right, you can save a ton of money cause you get economies of scale. So bare metal is great, it's just another way to host things that for certain apps, certain workloads, makes a lot of sense. For other ones it makes no sense. >> So, we're at a conference full of developers. They don't care about infrastructure, more or less. And the Tetris works well when we're talking about containers, EC2-size instances, even bare metal. What about concepts such as serverless, okay, in which we're just running code? Obviously, we can't make every application based on microservices and it's not practical to take Lambda and build an entire stack. However, there's obviously some opportunity for some really incredible savings if we choose Lambda for certain functions. How do you guys help customers make that determination? >> So I mean, Lambda's very interesting because there is a break even point. So if I'm charged for every hundred milliseconds for what I run, if it doesn't happen very often that's a much better way than running an instance. Now once that gets beyond a certain point, it might be cheaper to actually just run it on an instance. If you have constant workload that's taking up many servers worth of capacity, There's a break even point there where it'll become more expensive to run that, 'cause again, you're paying by the hundred milliseconds by the resources that you're being allocated. So if you can run that workload with other workloads and get economies of scale, it might be cheaper. So it's kind of, if we picture Lambda it's almost like the area under the curve. What work am I doing in my app or my service, and I turn that into how many, and we use benchmarks to normalize everything, so we understand that that running there is the equivalent of that running over here. So that workload would require this many time slices, and cost you this much. And so that's something we're working on, it's not released yet, it's kinda coming, but we see that as being able to analyze the equivalency between different models. You know, that workload, very expensive in Lambda, that other one, perfect candidate. >> Andrew, while you're there, bring us inside a little bit, what it's like to be a partner in the AWS ecosystem? You know, any announcements that surprise you, you guys get some preview on this, how fast can you kind of ramp your team up to take advantage of the umpteen billion new announcements, 1,300 announcements a year? So you know, take us inside how that works for you, and then how you help your customers to take advantage of that. >> Sure, yeah, so I mean we stay pretty plugged in, we are partnered with all the major providers, and we do of course. And a lot of them, in fact Amazon provides the API to get all the latest and greatest stuff, if you're constantly hitting that, you get all the latest stuff anyway. So that pace is just built into what we do. You know, we had a customer said, hey, you guys have really kind of, you know, while we were evaluating your software, you did a lot of things to kind of show up the latest stuff coming out of the plug. Is that just you selling us, and you'll stop? We said, no, that's just the way we operate. That is the new model that everything is just up to date all the time. You know, for customers long term, you are getting new stuff every day, we're sending out the notes. So we try and stay on top, and again the key here is that interpreting what that means for you. To know that there's a new M5 is one thing. To know that it's got a different hypervisor, and you might need to rebuild your AMIs to run on it, is something we can say, okay, we're gonna help you with this and help interpret this delta. And I think it's a very important thing that Amazon has so many priorities of all the breadth and everything else that they're doing. They're not really focused on helping you shake your bill down. They're just not doing that to date. And so I think this fills a very important role in the ecosystem. >> Andrew, want to give you the final word. What are the things that your customers are doing that really helping to transform their businesses, kind of the biggest kind of challenges and opportunities that they're seeing? >> Well I mean I think, clearly I think containers are gonna be a very big part, I know we talked about them a lot already, but I think that's one of the most exciting areas. I think everybody's moving to the cloud or starting to leverage it, and doing it in various ways, but I think everybody's goal, and really Kubernetes is a big part of that, you know we saw different options right there, really centered on Kubernetes, everybody's doing that, and I think that's really gonna be the transformative technology. You can host, you know, born in the cloud microservices, you can host legacy apps in it. You can get through to a really high level of efficiency all in the cloud with that one technology. I think it's a real game changer and just needs to roll through these environments. >> All right, Andrew Hillier, always a pleasure to catch up. Thank you for giving us all the updates on Densify. For Keith Townsend, I'm Stu Miniman. You're watching theCUBE.
SUMMARY :
Announcer: Live from Las Vegas, it's theCUBE, across many of the facilities here in Vegas, It's been great, been loving the show. what Densify's doing, how you fit into the ecosystem here? how do you keep pace with change? that you talk to, the mindset. So how do you get there in a safe way, What are some of the key challenges that you see And we're seeing savings of upwards of 80% when you do that. You know what, sunk costs, I don't care that, you know, Again, if you have very peaky workloads So let's talk about that cloud Tetris in the cloud. and you put it in a large M4 or whatever, So it's the same, you know lack of visibility, and how do they take advantage, and you know, So, and even if you are aware, Is that something that you think your customers So if you take one of these big bare metal nodes If you use them right, you can save a ton of money How do you guys help customers make that determination? So if you can run that workload with other workloads and then how you help your customers and you might need to rebuild your AMIs to run on it, Andrew, want to give you the final word. You can host, you know, born in the cloud microservices, Thank you for giving us all the updates on Densify.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Keith Townsend | PERSON | 0.99+ |
Andrew Hillier | PERSON | 0.99+ |
90% | QUANTITY | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Andrew | PERSON | 0.99+ |
82% | QUANTITY | 0.99+ |
57% | QUANTITY | 0.99+ |
Vegas | LOCATION | 0.99+ |
1,300 announcements | QUANTITY | 0.99+ |
fifth year | QUANTITY | 0.99+ |
10 times | QUANTITY | 0.99+ |
Lambda | TITLE | 0.99+ |
80% | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
Densify | ORGANIZATION | 0.99+ |
43,000 people | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
This year | DATE | 0.99+ |
Sands Convention Center | LOCATION | 0.99+ |
first time | QUANTITY | 0.99+ |
Last year | DATE | 0.98+ |
VMware | ORGANIZATION | 0.98+ |
once a day | QUANTITY | 0.98+ |
Tetris | TITLE | 0.98+ |
each container | QUANTITY | 0.98+ |
two months ago | DATE | 0.98+ |
today | DATE | 0.98+ |
hundred milliseconds | QUANTITY | 0.98+ |
Intel | ORGANIZATION | 0.97+ |
one | QUANTITY | 0.97+ |
VMWorld | ORGANIZATION | 0.96+ |
Las Vegas | LOCATION | 0.95+ |
one customer | QUANTITY | 0.95+ |
one study | QUANTITY | 0.95+ |
this morning | DATE | 0.94+ |
first | QUANTITY | 0.93+ |
two CPUs | QUANTITY | 0.93+ |
few years ago | DATE | 0.93+ |
M5 | COMMERCIAL_ITEM | 0.92+ |
umpteen billion new announcements | QUANTITY | 0.91+ |
double set | QUANTITY | 0.9+ |
three new instance types | QUANTITY | 0.89+ |
one thing | QUANTITY | 0.85+ |
around 40% savings | QUANTITY | 0.83+ |
re:Invent 2017 | EVENT | 0.79+ |
Fargate | ORGANIZATION | 0.78+ |
three years | QUANTITY | 0.76+ |
one technology | QUANTITY | 0.74+ |
a year | QUANTITY | 0.74+ |
Kubernetes | TITLE | 0.73+ |
last 10 years | DATE | 0.73+ |
once | QUANTITY | 0.71+ |
theCUBE | TITLE | 0.69+ |
Sharad Singhal, The Machine & Matthias Becker, University of Bonn | HPE Discover Madrid 2017
>> Announcer: Live from Madrid, Spain, it's theCUBE, covering HPE Discover Madrid 2017, brought to you by Hewlett Packard Enterprise. >> Welcome back to Madrid, everybody, this is theCUBE, the leader in live tech coverage and my name is Dave Vellante, and I'm here with Peter Burris, this is day two of HPE Hewlett Packard Enterprise Discover in Madrid, this is their European version of a show that we also cover in Las Vegas, kind of six month cadence of innovation and organizational evolution of HPE that we've been tracking now for several years. Sharad Singal is here, he covers software architecture for the machine at Hewlett Packard Enterprise, and Matthias Becker, who's a postdoctoral researcher at the University of Bonn. Gentlemen, thanks so much for coming in theCUBE. >> Thank you. >> No problem. >> You know, we talk a lot on theCUBE about how technology helps people make money or save money, but now we're talking about, you know, something just more important, right? We're talking about lives and the human condition and >> Peter: Hard problems to solve. >> Specifically, yeah, hard problems like Alzheimer's. So Sharad, why don't we start with you, maybe talk a little bit about what this initiative is all about, what the partnership is all about, what you guys are doing. >> So we started on a project called the Machine Project about three, three and a half years ago and frankly at that time, the response we got from a lot of my colleagues in the IT industry was "You guys are crazy", (Dave laughs) right. We said we are looking at an enormous amount of data coming at us, we are looking at real time requirements on larger and larger processing coming up in front of us, and there is no way that the current architectures of the computing environments we create today are going to keep up with this huge flood of data, and we have to rethink how we do computing, and the real question for those of us who are in research in Hewlett Packard Labs, was if we were to design a computer today, knowing what we do today, as opposed to what we knew 50 years ago, how would we design the computer? And this computer should not be something which solves problems for the past, this should be a computer which deals with problems in the future. So we are looking for something which would take us for the next 50 years, in terms of computing architectures and what we will do there. In the last three years we have gone from ideas and paper study, paper designs, and things which were made out of plastic, to a real working system. We have around Las Vegas time, we'd basically announced that we had the entire system working with actual applications running on it, 160 terabytes of memory all addressable from any processing core in 40 computing nodes around it. And the reason is, although we call it memory-driven computing, it's really thinking in terms of data-driven computing. The reason is that the data is now at the center of this computing architecture, as opposed to the processor, and any processor can return to any part of the data directly as if it was doing, addressing in local memory. This provides us with a degree of flexibility and freedom in compute that we never had before, and as a software person, I work in software, as a software person, when we started looking at this architecture, our answer was, well, we didn't know we could do this. Now if, given now that I can do this and I assume that I can do this, all of us in the programmers started thinking differently, writing code differently, and we suddenly had essentially a toy to play with, if you will, as programmers, where we said, you know, this algorithm I had written off decades ago because it didn't work, but now I have enough memory that if I were to think about this algorithm today, I would do it differently. And all of a sudden, a new set of algorithms, a new set of programming possibilities opened up. We worked with a number of applications, ranging from just Spark on this kind of an environment, to how do you do large scale simulations, Monte Carlo simulations. And people talk about improvements in performance from something in the order of, oh I can get you a 30% improvement. We are saying in the example applications we saw anywhere from five, 10, 15 times better to something which where we are looking at financial analysis, risk management problems, which we can do 10,000 times faster. >> So many orders of magnitude. >> Many, many orders >> When you don't have to wait for the horrible storage stack. (laughs) >> That's right, right. And these kinds of results gave us the hope that as we look forward, all of us in these new computing architectures that we are thinking through right now, will take us through this data mountain, data tsunami that we are all facing, in terms of bringing all of the data back and essentially doing real-time work on those. >> Matthias, maybe you could describe the work that you're doing at the University of Bonn, specifically as it relates to Alzheimer's and how this technology gives you possible hope to solve some problems. >> So at the University of Bonn, we work very closely with the German Center for Neurodegenerative Diseases, and in their mission they are facing all diseases like Alzheimer's, Parkinson's, Multiple Sclerosis, and so on. And in particular Alzheimer's is a really serious disease and for many diseases like cancer, for example, the mortality rates improve, but for Alzheimer's, there's no improvement in sight. So there's a large population that is affected by it. There is really not much we currently can do, so the DZNE is focusing on their research efforts together with the German government in this direction, and one thing about Alzheimer's is that if you show the first symptoms, the disease has already been present for at least a decade. So if you really want to identify sources or biomarkers that will point you in this direction, once you see the first symptoms, it's already too late. So at the DZNE they have started on a cohort study. In the area around Bonn, they are now collecting the data from 30,000 volunteers. They are planning to follow them for 30 years, and in this process we generate a lot of data, so of course we do the usual surveys to learn a bit about them, we learn about their environments. But we also do very more detailed analysis, so we take blood samples and we analyze the complete genome, and also we acquire imaging data from the brain, so we do an MRI at an extremely high resolution with some very advanced machines we have, and all this data is accumulated because we do not only have to do this once, but we try to do that repeatedly for every one of the participants in the study, so that we can later analyze the time series when in 10 years someone develops Alzheimer's we can go back through the data and see, maybe there's something interesting in there, maybe there was one biomarker that we are looking for so that we can predict the disease better in advance. And with this pile of data that we are collecting, basically we need something new to analyze this data, and to deal with this, and when we heard about the machine, we though immediately this is a system that we would need. >> Let me see if I can put this in a little bit of context. So Dave lives in Massachusetts, I used to live there, in Framingham, Massachusetts, >> Dave: I was actually born in Framingham. >> You were born in Framingham. And one of the more famous studies is the Framingham Heart Study, which tracked people over many years and discovered things about heart disease and relationship between smoking and cancer, and other really interesting problems. But they used a paper-based study with an interview base, so for each of those kind of people, they might have collected, you know, maybe a megabyte, maybe a megabyte and a half of data. You just described a couple of gigabytes of data per person, 30,000, multiple years. So we're talking about being able to find patterns in data about individuals that would number in the petabytes over a period of time. Very rich detail that's possible, but if you don't have something that can help you do it, you've just collected a bunch of data that's just sitting there. So is that basically what you're trying to do with the machine is the ability to capture all this data, to then do something with it, so you can generate those important inferences. >> Exactly, so with all these large amounts of data we do not only compare the data sets for a single person, but once we find something interesting, we have also to compare the whole population that we have captured with each other. So there's really a lot of things we have to parse and compare. >> This brings together the idea that it's not just the volume of data. I also have to do analytics and cross all of that data together, right, so every time a scientist, one of the people who is doing biology studies or informatic studies asks a question, and they say, I have a hypothesis which this might be a reason for this particular evolution of the disease or occurrence of the disease, they then want to go through all of that data, and analyze it as as they are asking the question. Now if the amount of compute it takes to actually answer their questions takes me three days, I have lost my train of thought. But if I can get that answer in real time, then I get into this flow where I'm asking a question, seeing the answer, making a different hypothesis, seeing a different answer, and this is what my colleagues here were looking for. >> But if I think about, again, going back to the Framingham Heart Study, you know, I might do a query on a couple of related questions, and use a small amount of data. The technology to do that's been around, but when we start looking for patterns across brain scans with time series, we're not talking about a small problem, we're talking about an enormous sum of data that can be looked at in a lot of different ways. I got one other question for you related to this, because I gotta presume that there's the quid pro quo for getting people into the study, is that, you know, 30,000 people, is that you'll be able to help them and provide prescriptive advice about how to improve their health as you discover more about what's going on, have I got that right? >> So, we're trying to do that, but also there are limits to this, of course. >> Of course. >> For us it's basically collecting the data and people are really willing to donate everything they can from their health data to allow these large studies. >> To help future generations. >> So that's not necessarily quid pro quo. >> Okay, there isn't, okay. But still, the knowledge is enough for them. >> Yeah, their incentive is they're gonna help people who have this disease down the road. >> I mean if it is not me, if it helps society in general, people are willing to do a lot. >> Yeah of course. >> Oh sure. >> Now the machine is not a product yet that's shipping, right, so how do you get access to it, or is this sort of futures, or... >> When we started talking to one another about this, we actually did not have the prototype with us. But remember that when we started down this journey for the machine three years ago, we know back then that we would have hardware somewhere in the future, but as part of my responsibility, I had to deal with the fact that software has to be ready for this hardware. It does me no good to build hardware when there is no software to run on it. So we have actually been working at the software stack, how to think about applications on that software stack, using emulation and simulation environments, where we have some simulators with essentially instruction level simulator for what the machine does, or what that prototype would have done, and we were running code on top of those simulators. We also had performance simulators, where we'd say, if we write the application this way, this is how much we think we would gain in terms of performance, and all of those applications on all of that code we were writing was actually on our large memory machines, Superdome X to be precise. So by the time we started talking to them, we had these emulation environments available, we had experience using these emulation environments on our Superdome X platform. So when they came to us and started working with us, we took their software that they brought to us, and started working within those emulation environments to see how fast we could make those problems, even within those emulation environments. So that's how we started down this track, and most of the results we have shown in the study are all measured results that we are quoting inside this forum on the Superdome X platform. So even in that emulated environment, which is emulating the machine now, on course in the emulation Superdome X, for example, I can only hold 24 terabytes of data in memory. I say only 24 terabytes >> Only! because I'm looking at much larger systems, but an enormously large number of workloads fit very comfortably inside the 24 terabytes. And for those particular workloads, the programming techniques we are developing work at that scale, right, they won't scale beyond the 24 terabytes, but they'll certainly work at that scale. So between us we then started looking for problems, and I'll let Matthias comment on the problems that they brought to us, and then we can talk about how we actually solved those problems. >> So we work a lot with genomics data, and usually what we do is we have a pipeline so we connect multiple tools, and we thought, okay, this architecture sounds really interesting to us, but if we want to get started with this, we should pose them a challenge. So if they can convince us, we went through the literature, we took a tool that was advertised as the new optimal solution. So prior work was taking up to six days for processing, they were able to cut it to 22 minutes, and we thought, okay, this is a perfect challenge for our collaboration, and we went ahead and we took this tool, we put it on the Superdome X that was already running and stepped five minutes instead of just 22, and then we started modifying the code and in the end we were able to shrink the time down to just 30 seconds, so that's two magnitudes faster. >> We took something which was... They were able to run in 22 minutes, and that was already had been optimized by people in the field to say "I want this answer fast", and then when we moved it to our Superdome X platform, the platform is extremely capable. Hardware-wise it compares really well to other platforms which are out there. That time came down to five minutes, but that was just the beginning. And then as we modified the software based on the emulation results we were seeing underneath, we brought that time down to 13 seconds, which is a hundred times faster. We started this work with them in December of last year. It takes time to set up all of this environment, so the serious coding was starting in around March. By June we had 9X improvement, which is already a factor of 10, and since June up to now, we have gotten another factor of 10 on that application. So I'm now at a 100X faster than what the application was able to do before. >> Dave: Two orders of magnitude in a year? >> Sharad: In a year. >> Okay, we're out of time, but where do you see this going? What is the ultimate outcome that you're hoping for? >> For us, we're really aiming to analyze our data in real time. Oftentimes when we have biological questions that we address, we analyze our data set, and then in a discussion a new question comes up, and we have to say, "Sorry, we have to process the data, "come back in a week", and our idea is to be able to generate these answers instantaneously from our data. >> And those answers will lead to what? Just better care for individuals with Alzheimer's, or potentially, as you said, making Alzheimer's a memory. >> So the idea is to identify Alzheimer long before the first symptoms are shown, because then you can start an effective treatment and you can have the biggest impact. Once the first symptoms are present, it's not getting any better. >> Well thank you for your great work, gentlemen, and best of luck on behalf of society, >> Thank you very much >> really appreciate you coming on theCUBE and sharing your story. You're welcome. All right, keep it right there, buddy. Peter and I will be back with our next guest right after this short break. This is theCUBE, you're watching live from Madrid, HPE Discover 2017. We'll be right back.
SUMMARY :
brought to you by Hewlett Packard Enterprise. that we also cover in Las Vegas, So Sharad, why don't we start with you, and frankly at that time, the response we got When you don't have to computing architectures that we are thinking through and how this technology gives you possible hope and in this process we generate a lot of data, So Dave lives in Massachusetts, I used to live there, is the Framingham Heart Study, which tracked people that we have captured with each other. Now if the amount of compute it takes to actually the Framingham Heart Study, you know, there are limits to this, of course. and people are really willing to donate everything So that's not necessarily But still, the knowledge is enough for them. people who have this disease down the road. I mean if it is not me, if it helps society in general, Now the machine is not a product yet and most of the results we have shown in the study that they brought to us, and then we can talk about and in the end we were able to shrink the time based on the emulation results we were seeing underneath, and we have to say, "Sorry, we have to process the data, Just better care for individuals with Alzheimer's, So the idea is to identify Alzheimer Peter and I will be back with our next guest
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Neil | PERSON | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Jonathan | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Ajay Patel | PERSON | 0.99+ |
Dave | PERSON | 0.99+ |
$3 | QUANTITY | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Jonathan Ebinger | PERSON | 0.99+ |
Anthony | PERSON | 0.99+ |
Mark Andreesen | PERSON | 0.99+ |
Savannah Peterson | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Yahoo | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Paul Gillin | PERSON | 0.99+ |
Matthias Becker | PERSON | 0.99+ |
Greg Sands | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Jennifer Meyer | PERSON | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Target | ORGANIZATION | 0.99+ |
Blue Run Ventures | ORGANIZATION | 0.99+ |
Robert | PERSON | 0.99+ |
Paul Cormier | PERSON | 0.99+ |
Paul | PERSON | 0.99+ |
OVH | ORGANIZATION | 0.99+ |
Keith Townsend | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
California | LOCATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Sony | ORGANIZATION | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Robin | PERSON | 0.99+ |
Red Cross | ORGANIZATION | 0.99+ |
Tom Anderson | PERSON | 0.99+ |
Andy Jazzy | PERSON | 0.99+ |
Korea | LOCATION | 0.99+ |
Howard | PERSON | 0.99+ |
Sharad Singal | PERSON | 0.99+ |
DZNE | ORGANIZATION | 0.99+ |
U.S. | LOCATION | 0.99+ |
five minutes | QUANTITY | 0.99+ |
$2.7 million | QUANTITY | 0.99+ |
Tom | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
Matthias | PERSON | 0.99+ |
Matt | PERSON | 0.99+ |
Boston | LOCATION | 0.99+ |
Jesse | PERSON | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
Richard Cramer, Informatica - Informatica World 2017 - #INFA17 - #theCUBE
>> Announcer: Live from San Francisco, It's The Cube. Covering Informatica World 2017 brought to you by Informatica. >> Hello everyone, welcome back to The Cube coverage, exclusive coverage of Informatica 2017, we are live in San Francisco breaking down all the action of Informatica's big conference Informatica World 2017, I'm John Furrier with Silicon Angle The Cube, my cohost Peter Burris, head of research and also general manager wikibon.com check it out, great research there, next guest is Richard Cramer, Chief Healthcare Strategist fpr Informatica, welcome to The Cube. >> Thank you John. >> Great to see you, we were just talking before we went live about you love data, you love customers, and healthcare is booming, certainly healthcare is one of those use cases, it's a vertical that everyone can relate to, one. Two, it's the most dynamic with data right now and internet of things connected sensors you know what a room looks like a zillion things connected, now you got wearables, still you got the data problem, it's never going away, certainly it exists there, but now it's changing, so break it down for us, what is the challenges and drivers right now in the healthcare industry relative to getting great software and great solutions to help patients. >> Well you're 100% right, one of the things that's exciting about healthcare is it matters to all of us. Every one of us is a patient, every one of us has a horror story of interacting with a healthcare system and so when we look at the opportunity for data, healthcare has historically not used data very well. We had the High-tech Act in 2009 that got electronic healthcare records in place, we're coming out of the backside of that, so arguably for the first time we finally have the deep rich clinical data that we've needed to do analytics with for the first time. We now have the technology that's coming around with what we call data 3.0 and big data processing power and then as you mentioned internet of things and all of the rich sources of new data that we can do discovery on and learn new things about how to treat patients better and then really the final component is we have the financial incentives are finally aligned. We used to in healthcare pay for piecework. The more you did, the more you got paid. And shockingly we were inefficient, we did too much. (laughs) And now we're changing to paying for value. And we can pay for value because we can finally measure quality and outcomes because we have the data. And so that's really the analytics opportunity that's so exciting in healthcare right now. >> What's interesting is that in this digital transformation, and business transformation and all the conversations we've had over the years on The Cube and look at all the top shows in the enterprise and emerging tech, you're seeing one pattern, we had the Chicago Cubs on yesterday talking baseball but whether it's sports, business, or healthcare or whatever vertical, there's kind of three things, and we'll take baseball, right? Fan experience, how to run the players and the team, and how to run the organization. Healthcare is the same thing, how to run an organization, how to take care of the players, the doctors and the practitioners, and then also the end user, the fan experience, the patient experience. So now you have, it used to be hey are we running our organization and the practitioners were part of that maybe subordinate to it, maybe they interacted with it, but now like a baseball team you have how do I run my organization, how do I make the players, the doctors and practitioners successful, and now the patients, the end users are now part of it as well. This is opening up massive innovation opportunities. What's your reaction to that and how should people think about the data in that context? >> So I think the first piece of what you said is very true, which is really for the first time, healthcare organizations are behaving like real businesses. When you start to get paid for results, you now care about a lot of things that you didn't care about before. Patient experience matters 'cause consumers have choice, those types of things, so all of those digital transformation examples from other industries are now relevant and front and center for healthcare organizations. Which is radically different and so that opportunity to use data and use it for a specific purpose is very valuable. I think the other thing that's important with digital transformation is historically healthcare is very local. It's regional, you go to the hospital that's closest to you. And digital disruption is all about removing geographic barriers. The goal in healthcare today is we're reducing cost, you want to push healthcare out of that high cost hospital into the most cost effective highest quality organization you can. That maybe a retail clinic in a shopping mall. And how do you do that? You do that with digital technology. Telehealth in the home. All of those types of things are traditional digital transformation types of capabilities that healthcare has not traditionally cared about. >> So optimizing a network effect if you will, we always hear in network, out of network as a term (laughs) >> Yep. >> My wife and I go oh it's in network, oh good, so out of network always kind of means spendy but now you're talking about a reconfiguration of making things much more efficient as piece parts. >> Well exactly right and the idea of the network, the network used to be drive everybody to the hospital, 'cause that's where we made our money. Well when you're getting paid for results, the hospital's a cost center, not a revenue center. You actually want to keep people out of the hospital. And as a consumer and as somebody who's paying for healthcare, that's actually a good thing. If I can avoid going to the hospital and get healthcare in a more convenient setting that I want to do at home or someplace closer to home and not be admitted to a hospital, hospitals are dangerous places. >> Peter, you've been doing, I've seen you and I comment on Facebook all the time, certainly the healthcare things sparks the conversation but big data can solve a lot of this stuff, I know you're doing a lot of thinking around this. >> Well so fascinating conversation, I'd say a couple things really quickly and then get your take on it. First off a lot of the evidence based management techniques we heard about yesterday originated in healthcare. Because of the >> You mean like data management and all that stuff? >> Peer review, how we handle clinical trials, the amount of data that's out there, so a lot of the principles about how data could be used in a management framework began in healthcare and they have kind of diffused the marketplace, but the data hasn't been there. Now there's some very powerfully aligned interests. Hospitals like their data, manufacturers of products like their data, doctors like their data, consumers don't know what to do with their data. They don't know what value the data is. So if we take a look at those interests, it's going to be hard, and there's a lot of standards, there's a lot of conventions, each of those groups have their so now the data's available, but the integration is going to be a major challenge. People are using HIPAA as an excuse not to do it, manufacturers and other folks are using other kinds of excuses not to facilitate the data because everybody wants control of the final money. So we've heard a lot at the conference about how, liberate the data, free it up, make it available to do more work, but the second step is integration. You have got the integration problem of all integration problems in data. >> Yes. >> Talk about how some of the healthcare leaders are starting to think about how they're going to break down some of these barriers and begin the process of integrating some of their data so they can in fact enact different types of behaviors. >> Yeah and great context for what's happening in healthcare with data. So if you think of five, six, seven years ago at Informatica, my role was to go and look at what other industries had done for traditional enterprise data warehousing and bring that knowledge back into healthcare and say healthcare you're ten years behind the rest of industry (laughs) here's how you should think about your data analytics. Well that's completely different now. The data challenge as you've outlined it are we've always had data complexity, we now have internet of things data like nobody's business and we also have this obligation to use the data far more effectively than we ever have before. Well one of the key parts of this is that the idea of centralizing and controlling data as a path value is no longer viable. We can argue whether it was ever successful, but it really is not even an option anymore when you look at the proliferation of data sources, the proliferation of data types, the complexity, we simply can't govern data to perfection before we get using (laughs) which is traditionally the healthcare approach. What we're really looking at now is this whole idea of big data analytics applied to all data and being able to do discovery that says we can make good decisions with data that may not be perfect and this is the big data, put it into a data lake, do some self service discovery, some self service data preparation, reduce the distance between the people who know what the data means and being able to get hands on and work with it so that you can iterate and you can discover. You cannot do that in an old fashioned EDW context where we have to extract, transform, load, govern to perfection, all the data before anybody ever gets to use it. >> John: That's why I'm excited about data in motion. >> Well even, yeah data, we'll get to that in a second because that's important, but even before we get there, John, I mean again, think about how powerful some of these industries are. Drug companies keep drug prices high in the U.S. because they have visibility into the data, the nature of the treatments, et cetera. One of the most interesting things, this is one I want to attest with you on. Is that doctors, where a lot of this evidence based management has started because of peer review, because of their science orientation, even though they get grooved into their own treatments, generally speaking our interest is in exploring new pathways to health and wellness. So is, do you have a very powerful user group that will adopt this ability to integrate data very quickly because they can get greater visibility into new tactics, new techniques, new healthcare regimes as well as new information about patients? Are doctors going to be crucial to this process in your opinion? >> Doctors are going to be crucial to the discussion, we had a healthcare breakfast with a speaker from Deloitte the other day who talked about using data with clinicians to have a data discussion. Not use data to tell them you're wrong or whatnot but actually to engage them in the discovery process of here's what the data shows about your practice. And you talk about the idea of data control, that's absolutely one of the biggest barriers. The technology does not solve data control. >> Right. >> In the old days, everybody admits we have silo data, we have HIPAA, it was so hard to break down those barriers and actually share data that nobody really addressed the fact that people didn't want to. Because they couldn't. Well now with the technology that's available it's >> What's possible, the art of possible. >> Yeah, now it's possible to actually get data from everywhere and do things with it quickly. We run into the fact that people have to explicitly say I don't want to share. >> But here's where that data movement issue becomes so important John and I think that this is a play for Informatica. Because metadata is going to be crucial to this process. Being, giving people who do have some understanding of data, clinicians, physicians, because of their background, because of the way that medicine is supposed to be run at that level, giving them visibility into the data that's available, that could inform their practices and their decisions is really crucial. >> Absolutely. One of, a good friend who's a clinician has been asking for years, he says if all you did was give me access to data about my patients so I could explore my own clinical practice, says I'm guaranteed I take care of diabetics the way I learned in medical school 25 years ago. There has been a lot of innovation in that and just having the perspective on my own practice patterns from my own data would change my behavior. And we, typically I haven't been able to do that. We can now. >> So I've got to ask you, so let's get down and dirty on Informatica, 'cause first of all I think instrumentation of everything now is a reality, I think people now are warming up to certainly in levels, super hot to like I realize it's a transformation area. What are you guys saying to customers? Because they're kind of drowning in the data, one. Two, they are maybe held back, 'cause of HIPAA and other things, now it's time to act, so the art of the possible things are now possible, damn I got to get a plan, so they're hustling around to put a plan together, architecture, plan, what do you guys pitch to customers? What is the value proposition that you go in, and take us through an example, a use case of a day in the life of your role with customers. >> So I have the best job in Informatica. I get to go out and meet with senior customer executive teams and talk about data, how they're going to use data, and how we can help them do it. So it's the best job in the company. But if you look at the typical pitch, we start out, we first we get them to agree with the principle, centralizing control is dead, being able to manage data as an enterprise asset in a decentralized fashion with customer self service is the future reality. And everybody universally says yep, we get it, we agree. >> John: Next. (laughs) Check. >> But then we talk about what does that actually mean? And it's amazing how at every step in my presentation, the 20 questions always are the same, it comes down to well how do we control that? How do we control that? >> Peter: How do we manage it? >> So you start with, you think of this idea that says hey, decentralized data, customer self service, you got to have a data catalog. Well enterprise information catalog is a perfect solution. If you don't know where your data assets are and who's using them, you cannot manage data as an asset >> And they're comfortable with that because that's the old mindset of the warehouse like that big fenced in organization, but now they say okay I can free it up >> Yes. >> And manage it with a catalog and get the control I need. >> That's right and so the first piece is the catalog, well then the minute you say to people the catalog is the way to get value from your data, there's somebody in every room that says ooh that value represents risk. You're letting people see data and make data easy to find, that can't possibly be good, it's risky. Well then we have secure at source was the opposite product from enterprise information catalog that says here's the risk profile of all those data sources for HIPAA and protected health information so we got a great answer to that question, and then you look and you say well how do I fundamentally work with data differently and that's the idea of a data lake. Rather than making data hard to get in so it's easy to query which is the traditional enterprise data warehouse, and even people who do enterprise data warehousing well, little secret is, takes too long, costs too much, and it's not agile. >> Yeah. >> We're not suggesting for a second that a centralized repository, a trustworthy data governed within an inch of it's life so that it can be used broadly throughout the organization without people hurting themselves is not good, it can't be the only place to work with data. Takes too long, costs too much, and it's not agile. What you want is the data lake that says put all the data that you care about in a place, big data, IOT data, data that you don't know what you're going to use, and apply effort at query time only to the data that you care about. >> And we're always talking about cleanliness and hygiene yesterday versus heart surgeon, different roles in an organization, the big fear that we hear from customers, we talk to on The Cube, I want to get your thoughts and then reaction of this is that my data lakes turn into a data swamp. Because it's just, I'm not using it, it's just sitting there, it gets stale, I'm not managing it properly, I'm not vectoring it into the right apps in real time, moving it around, your reaction to that objection. >> Early days of the data lake, absolutely data swamp because we didn't have the tools, people weren't using them correctly, so just because you put it in a data lake doesn't mean that it's ungoverned. It doesn't mean you don't want to put the catalog on it so you know what's there and how to use it. It doesn't mean you don't want to have end to end transparency and visibility from the data consumer to the data source because transparency is actually the first level of government. That's what provides confidence. It's not agreeing on a single version of the truth and making sure the data's right. It's just simply allowing the transparency and so when you have a data lake with a catalog, with intelligent data lake for self service data preparation, with the ability to see end to end what's happening with that data, I don't care that it's not been governed if I can inspect it easily and quickly to validate that your assumptions are reasonable, 'cause this is the biggest thing in healthcare. We can't handle the new data, the IOT data, and the scope of things we want to do that we haven't thought about the old way. >> Yeah we have limited time. >> One last question. Framingham Heart Study has shown us that healthcare data ages differently than most other data. How do we anticipate what data's going to be important today and what data's going to be important in the future? Given that we're talking about people and how they age over time. >> So the key thing with that and we talked about it earlier, you can't analyze data that you threw away. And so a big part of this is if the data might potentially be of interest, stage it, and don't put it in an archive, don't put it someplace in the database backup, it's got to be staged and accessible, which is the data lake. >> And ready. >> And ready, you've got to, and you can't have distance between it. Somebody can't have to go and request it. They need to be able to work on it. And that's the revolution that really is represented by data 3.0, we finally can afford to save data, huge amounts of data, that we don't know we care about. Because somebody may care about it in the future. >> Peter: That's right. >> Great Richard, great commentary, great insight, and appreciate you coming on The Cube and sharing what's update in the healthcare obviously super important again they're running like business, a lot of optimization, a lot of changes going on, you guys are doing some good work there, congratulations data 3.0 strategy. Hopefully that'll permeate down to the healthcare organizations and hopefully the user experience, me, the patient when I go in, I want to be in and out >> Peter: Wellness. >> Of the hospital and also preventative which I'm trying to do a good job on but too many Cube interviews keeping me busy, I'm going to have a heart attack on The Cube, no I'm only kidding (laughs) Great coverage here at Informatica World in San Francisco, I'm John Furrier, Peter Burris, more live coverage of day two at Informatica World, Cube, we'll be right back stay with us.
SUMMARY :
brought to you by Informatica. we are live in San Francisco breaking down all the action Two, it's the most dynamic with data right now so arguably for the first time we finally have Healthcare is the same thing, how to run an organization, Telehealth in the home. but now you're talking about a reconfiguration Well exactly right and the idea of the network, certainly the healthcare things sparks the conversation Because of the but the integration is going to be a major challenge. and begin the process of integrating some of their data all the data before anybody ever gets to use it. One of the most interesting things, the other day who talked about using data with clinicians In the old days, everybody admits we have silo data, the art of possible. We run into the fact that people have to explicitly say because of the way that medicine is supposed to be run and just having the perspective on my own practice patterns What is the value proposition that you go in, how they're going to use data, and how we can help them do it. and who's using them, you cannot manage data as an asset and that's the idea of a data lake. that says put all the data that you care about in a place, the big fear that we hear from customers, and the scope of things we want to do and how they age over time. So the key thing with that and we talked about it earlier, And that's the revolution that really is represented and hopefully the user experience, me, Of the hospital and also preventative
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Richard | PERSON | 0.99+ |
Richard Cramer | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
Chicago Cubs | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Informatica | ORGANIZATION | 0.99+ |
20 questions | QUANTITY | 0.99+ |
ten years | QUANTITY | 0.99+ |
HIPAA | TITLE | 0.99+ |
100% | QUANTITY | 0.99+ |
first piece | QUANTITY | 0.99+ |
yesterday | DATE | 0.99+ |
second step | QUANTITY | 0.99+ |
each | QUANTITY | 0.99+ |
High-tech Act | TITLE | 0.99+ |
first time | QUANTITY | 0.99+ |
Informatica World 2017 | EVENT | 0.99+ |
one | QUANTITY | 0.99+ |
Deloitte | ORGANIZATION | 0.98+ |
day two | QUANTITY | 0.98+ |
#INFA17 | EVENT | 0.98+ |
One | QUANTITY | 0.97+ |
Two | QUANTITY | 0.97+ |
three things | QUANTITY | 0.97+ |
Informatica 2017 | EVENT | 0.97+ |
U.S. | LOCATION | 0.96+ |
first | QUANTITY | 0.96+ |
First | QUANTITY | 0.95+ |
single version | QUANTITY | 0.94+ |
seven years ago | DATE | 0.93+ |
today | DATE | 0.92+ |
Cube | ORGANIZATION | 0.92+ |
one pattern | QUANTITY | 0.92+ |
Framingham Heart Study | ORGANIZATION | 0.91+ |
Informatica World | ORGANIZATION | 0.9+ |
ORGANIZATION | 0.9+ | |
2009 | DATE | 0.89+ |
The Cube | ORGANIZATION | 0.88+ |
first level | QUANTITY | 0.87+ |
five | DATE | 0.84+ |
Silicon Angle | ORGANIZATION | 0.83+ |
25 years ago | DATE | 0.8+ |
second | QUANTITY | 0.77+ |
every one | QUANTITY | 0.77+ |
baseball | TITLE | 0.76+ |
Chief | PERSON | 0.75+ |
wikibon.com | ORGANIZATION | 0.74+ |
years | QUANTITY | 0.73+ |
six | QUANTITY | 0.67+ |
#theCUBE | ORGANIZATION | 0.62+ |
a day | QUANTITY | 0.61+ |
Adam Smiley Poswolsky, The Quarter Life Breakthrough - PBWC 2017 - #InclusionNow - #theCUBE
>> Hey welcome back everybody. Jeff Frick here with the Cube. We're in San Francisco at the Professional Business Women of California Conference, the 28th year, I think Hillary must be in the neighborhood because everyone is streaming up to the keynote rooms. It's getting towards the end of the day. But we're excited to have Adam Smiley on. He's the author of The Quarter-Life Breakthrough. Welcome Adam. >> Great to be here, thanks for having me. >> Absolutely. So you gave a talk a little bit earlier on, I assume the theme of kind of your general thing. Would you just, Quarter-Life Breakthrough, what is Quarter-Life Breakthrough? >> So this is a book about how to empower the next generation. How young people can find meaning in their careers and their lives. So the subtitle of the book is Invent Your Own Path, Find Meaningful Work, and Build a Life That Matters. So everyone talks about millennials, you hear them in the news, "Oh they're the lazy generation," >> Right, right. >> "The entitled generation." The Me, Me, Me generation. I actually think that couldn't be further from the truth. So the truth is that actually 50% of millennials would take a pay cut to find work that matches their values. 90% want to use their skills for good. So my book is a guide for people to find purpose in their careers and really help them find meaning at the workplace and help companies empower that generation at work. >> So from being the older guy, so then is it really incumbent, you know, because before people didn't work for good, they worked for paycheck, right. They went, they punched in, they got paid, they went home. So is it really incumbent then on the employers now to find purposeful work? And how much of it has to be purposeful? I mean, unfortunately, there's always some of that, that grimy stuff that you just have to do. So what's the balance? >> Yeah and it's not to say that millennials don't want a paycheck, everyone wants money. I obviously want to make more money than less money. But it's also that this generation is really looking for meaning in the workplace. And one of the main things, if you look at all the studies, whether it's the Deloitte Millennial Study or the IBM Study, this is a generation that wants to move the needle forward on social issues at work. Not just after work or on the weekends, but at the workplace. And I think it's incumbent upon companies to really think about how they're providing those opportunities for purpose. Both in the mission of the company, what someone's doing every day, and opportunities outside of work, whether it's service projects, paid sabbaticals for people to do purpose-driven projects, really thinking about how someone is inspired to do mission during work every day. >> Right, it's interesting, Bev Crair at the keynote talked about, the question I think was, do you have to separate, kind of your personal views from your professional views and your social life? And she made a very powerful statement, she's like, "I'm comfortable enough with my employer that I can say what I feel and if there's ever a question they can ask me about it. But I don't gait what I say based on my employer as long as I'm being honest and truthful." So you know it's an interesting twist on an old theme. Where before you kind of had your separate worlds. You know, you had your work life and your home life, but now between email and text and social media, there is no kind of they're there for work and it's really invaded into the personal. So is that why the personal has to kind of invade back into the work? >> And when it comes to millennials, one word that always comes up is authenticity. People do not want to separate who they are at home from who they are at work. They want to be their whole person. Now obviously there's a line you don't cross. I'm not going to tell someone exactly what I think of them or tell the boss to go screw themselves or insult somebody or put on social media something that's secret that we're doing at the company. But I think that people want to feel that they get to show up who they are, have their beliefs echoed at the workplace, be able to be their full self, their full values, their mission, their goals, have that reflected in what they do, and have people at the company actually acknowledge that. You're not just an employee, I actually know what's going on in your life. I know what your dreams are, I know what your family's going through. I care about where you're headed, not just today or while you work here, but when you leave the company. Because that's the other thing, is that we're accepting that most of the people entering the workforce now or starting a new job, they're going to be there on average two to three years, maybe four, five, or six years. They're not going to be there ten, fifteen, twenty years like they used to be. So how do you actually empower someone to make an impact while they're there. And help them find the next lily pad, as they call it. The next opportunity. Because they're going to have a lot of those lily pads as they go throughout their career. >> It's interesting. We interviewed a gal named Marcia Conrad at an IBM event many years ago. She just made a really funny observation, she's like, "You know, people come in and you interview them and they're these really cool people and that's why you hire them, because they've got all these personality traits and habits and hobbies and things that they do, and energy." And then they come into the company, and then the old-school, you drop the employee, you know manual on top of them, basically saying stop being you. Stop being the person that we just hired. So that's completely flipped up on its head. >> Right, one of the things I talked about in the session today was this idea of stay interviews versus exit interviews. Normally when we do performance managements, kind of like, okay, you're leaving, what did you think? Why are you doing that when someone leaves? Do it to be like, what would make you stay? What do you want to accomplish while you're here? And you're not being graded against what everyone else is being graded on, what do you want to be graded on? What are your goals? What are your metrics for success? Performance achievement versus just performance measurement. I think is very important for this generation, because otherwise it's like, well why am I being judged on the standards that were written in 1986? This is what I'm trying to do here. >> It's interesting, even Jeff Immelt at GE, they've thrown out the annual review because it's a silly thing. You kind of collect your data two weeks before and the other fifty weeks everybody is just working. I have another hypothesis I want to run by you though. On this kind of purpose-driven. Today so many more things are as a service, transportation as a service, you know there seems to be less emphasis on things and more emphasis on experiences. It also feels like it's easier to see your impact whether it's writing a line of code, or doing something in social media. And you know there was an interesting campaign, Casey Neistat did, participated a couple weeks ago, right. They raised $2 million and basically got Turkish Airlines to fly in a couple hundred thousand metric tons of food to Somalia. And my question is, is it just because you can do those things so much easier and see an impact? Is that why, kind of this, increased purposefulness, I'm struggling on the word. >> I think the tools are certainly more available for people to take action. I think the connection is there. People are seeing what's going on in the world in a way that they've never been exposed to before with social media, with communication technology. It's up front and center. I think also that as technology takes over our lives, you see this with kind of statistics around depression and anxiety, people are starved for that in-person connection. They're starved for that meaning, that actual conversation. We're always doing this, but really a lot of data shows that people experience true joy, true fulfillment, true connection, true experience is what you're talking about, when they're in a room with someone. So people want that. So it's kind of a return back to that purpose-driven life, that purpose-driven tribe, village experience because the rest of the time we're on our phones. And yeah, it's cool, but something's missing. So people are starting to go back to work and be like, "I want that inspiration" that other generations may have gotten from church or from outside of work, or from their community, or from their village, or from the elders, or from a youth group or something. They're like, "I want that in the workplace. I want that everyday." >> Well so this is more top-down right? I mean I just think again, kind of the classic, back in the day, you were kind of compelled to give x percentage of your pay to United Way or whatever. And that was like this big aggregation mechanism that would roll up the money and distribute it to God-knows-where. Completely different model than, and you can see, because of social media and ubiquitous cell phones all over the place, you can actually see who that kid is, that's getting your thing on the other side. >> And it's empowering someone to say, "Okay this is what's important to me. These are the causes that I'd like to support. This is where I want my money to go and here's why." >> So what do you think's the biggest misunderstanding of millennials from old people like me or even older hopefully? >> Well one thing that I do think that millennials don't get right is the importance of patience. I think a lot of times people say, you know, "oh millennials, they want things to happen too quickly." I think that that's true. I think that my generation, I'm going to be the first to admit and say that we need to do a better job of being patient, being persistent. You can't expect things to happen overnight. You can't expect to start a job and in two months get promoted or to feel like you're with the Board of Directors. Things take time. At the same time, it's incumbent upon older generations to listen to these young people, to make them feel like they have a voice, to make them feel like they're heard and that their ideas matter, even if they don't have the final say, to make them feel like they actually matter. Because I think sometimes people assume that they don't know anything. They don't know everything, but they have some really brilliant ideas and if you listen to those ideas they might actually be really good for the company both in terms of profit and purpose. So that's one thing I would say. >> Okay, just, so first time with this show, just get your impressions of the show. >> Oh it's great. This is a great show. You all are doing a great job, a great interview. >> No not our show. The PBWC, I mean of course we're doing a good job, we have you on. I mean the PBWC. >> It's a great, you know for me, it's real exciting to be at the end of an event where I'm one of the only male speakers. Because usually, I've been doing the speaking circuit thing now for a year or two. And I go to these events, I go to panels, I go to conferences, keynotes, and it's mostly male speakers, which is a huge problem. There's far far far fewer women and people of color speaking at these events than men. And one of the things I'm really trying to change is that but also pay equity around speaking, because I talked to some of my female colleagues about what they were paid for a specific event, and they'll say, "Well they covered my transportation, they covered my lift and a salad, or my hotel maybe." I'm like, well I got paid $5000. That's messed up. We did the same amount of work. We did the same panel or doing the same keynote, similar experience levels. That's messed up. And so I'm trying to change that by doing this thing called the Women Speaker Initiative. Which is a mentorship program to empower more women and people of color to be speakers and then to make sure that they're paid fairly when compared to men. >> So how do people get involved with that? >> They should just got to my website, smileyposwolsky.com and check out Women Speaker Initiative. >> Alright, well Adam, thanks for taking a few minutes out of your day. Great great topic and I'm sure, look forward to catching up again later. >> Thanks so much for having me. >> Alright. He's Adam, I'm Jeff. You're watching theCube. We're at the Professional Business Women of California conference, twenty eighth year. Thanks for watching.
SUMMARY :
at the Professional Business Women of California Conference, I assume the theme of kind of your general thing. So this is a book about how to empower So my book is a guide for people to find purpose And how much of it has to be purposeful? And one of the main things, if you look at all the studies, and it's really invaded into the personal. or tell the boss to go screw themselves and that's why you hire them, Do it to be like, what would make you stay? I have another hypothesis I want to run by you though. So it's kind of a return back to that and distribute it to God-knows-where. These are the causes that I'd like to support. I think a lot of times people say, you know, just get your impressions of the show. This is a great show. I mean the PBWC. And I go to these events, I go to panels, They should just got to my website, look forward to catching up again later. We're at the Professional Business Women of California
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff Frick | PERSON | 0.99+ |
Marcia Conrad | PERSON | 0.99+ |
Adam | PERSON | 0.99+ |
Hillary | PERSON | 0.99+ |
Jeff | PERSON | 0.99+ |
Jeff Immelt | PERSON | 0.99+ |
Somalia | LOCATION | 0.99+ |
ten | QUANTITY | 0.99+ |
1986 | DATE | 0.99+ |
four | QUANTITY | 0.99+ |
GE | ORGANIZATION | 0.99+ |
50% | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
$5000 | QUANTITY | 0.99+ |
90% | QUANTITY | 0.99+ |
Casey Neistat | PERSON | 0.99+ |
$2 million | QUANTITY | 0.99+ |
five | QUANTITY | 0.99+ |
Adam Smiley | PERSON | 0.99+ |
Quarter-Life Breakthrough | TITLE | 0.99+ |
six years | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
two | QUANTITY | 0.99+ |
Bev Crair | PERSON | 0.99+ |
three years | QUANTITY | 0.99+ |
The Quarter-Life Breakthrough | TITLE | 0.99+ |
fifty weeks | QUANTITY | 0.99+ |
Both | QUANTITY | 0.99+ |
two months | QUANTITY | 0.99+ |
Turkish Airlines | ORGANIZATION | 0.99+ |
first | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
a year | QUANTITY | 0.98+ |
fifteen | QUANTITY | 0.98+ |
smileyposwolsky.com | OTHER | 0.98+ |
both | QUANTITY | 0.98+ |
Invent Your Own Path, Find Meaningful Work, and Build a Life That Matters | TITLE | 0.98+ |
first time | QUANTITY | 0.97+ |
Today | DATE | 0.97+ |
one word | QUANTITY | 0.97+ |
twenty eighth year | QUANTITY | 0.97+ |
PBWC | ORGANIZATION | 0.95+ |
PBWC 2017 | EVENT | 0.95+ |
Adam Smiley Poswolsky | PERSON | 0.93+ |
one thing | QUANTITY | 0.92+ |
Professional Business Women of California | EVENT | 0.91+ |
two weeks | DATE | 0.91+ |
twenty years | QUANTITY | 0.9+ |
couple hundred thousand metric tons | QUANTITY | 0.9+ |
IBM | ORGANIZATION | 0.86+ |
couple weeks ago | DATE | 0.86+ |
28th year | QUANTITY | 0.83+ |
Professional Business Women of California Conference | EVENT | 0.83+ |
many years ago | DATE | 0.83+ |
The Quarter Life Breakthrough | TITLE | 0.79+ |
Cube | ORGANIZATION | 0.77+ |
theCube | ORGANIZATION | 0.66+ |
IBM Study | ORGANIZATION | 0.64+ |
Women Speaker Initiative | ORGANIZATION | 0.63+ |
Deloitte Millennial Study | ORGANIZATION | 0.61+ |
United Way | ORGANIZATION | 0.54+ |
#theCUBE | ORGANIZATION | 0.5+ |
Irfan Khan, SAP | SAP SapphireNow 2016
>> Voiceover: It's theCUBE covering Sapphire Now. Headlines sponsored by SAP HANA Cloud, the leader in platform as a service. With support from Console Inc., the cloud internet company. Now, here are your hosts: John Furrier and Peter Burris. >> Okay, welcome back, everyone. We are here live in Orlando, Florida, for exclusive coverage of SAP Sapphire Now. This is theCUBE's SiliconANGLE's flagship program. We go out to the events and extract the signal from the noise. I'm John Furrier, Peter Burris. I want to thank our sponsors for allowing us to get down here, SAP HANA Cloud Platform, Console Inc., Capgemini, and EMC, thanks so much for supporting us. Our next guest is Ifran Khan, who is the SVP General Manager of digital enterprise platforms which includes HANA, end-to-end. Welcome back to theCUBE. >> Thank you. >> John: Good to see you. >> Lovely to be back here again. >> John: So, you know theCUBE history. We go way back, we've done pretty much every Hadoop World up until 2013, now we have an event the same day, week Estrada, New York, NSV, and we've been to every Sapphire since 2010 except for 2014, 2015. We had a little conflict of events, but it's been great. It's been big data. I remember Bill McDermott got up there when HANA was announced, kind of, or pre-built before Hadoop hit. So, you had HANA coming out of the oven, Hadoop hits the scene, Hadoop gets all the press, HANA's now rolling, so then you roll forward to four more years, we're here. What's your take on this, because it's been an interesting shift. Hadoop, some are saying, is hard to use, total costs of ownership. Now, HANA's rising, Hadoop is sliding. That's my opinion, but what's your opinion? >> Well, that's a well, sort of, summarized history lesson there, so to speak. Well, firstly, great to be on theCUBE again. It's always lovely to see you gentlemen here, you do a wonderful job. What I'd perhaps just highlight is maybe some of they key milestones that I've observed over the last four or five years. Ironically, 2010 when I arrived at SAP, when the entire, sort of if you like, trajectory of HANA started going in that direction, and Hadoop was sort of there, but it was maybe petering out a little bit because it was the unknown, the uncertainty of scale in whether or not this is going to be only batch or whether it's going to ever become real-time. So, I would maybe make the two or three milestones from the SAP side. HANA started off as a disruptive technology, which was perhaps conceived as being a response to a lot of internal challenges that we were running into using the systems of record of yester-era. They were incapable of dealing with SAP applications, incapable of giving us what we now refer to as a digital core, and that were incapable of giving our customers truly what they needed. As a response, HANA was introduced into the market, but it wasn't limited in scope to the, if you like the historical baggage of the relational era, or even the Hadoop era, so to speak. It was completely new imagined technologies built around in-memory computing, a columnar architecture, and therefore it gave us an opportunity to project ultimately what we could achieve with this as a foundation. So, HANA came into the market focusing on analytics to start with, going full circle into being able to do transactionality, as well, and where we are today? I think Hadoop is now being recognized, I would say probably as a de facto data operating system. So, HDFS is a very significant sort of extension to most IT organizations, but it's still lacking the compute capabilities. This is what's given their eyes a spark, and of course with HANA, HANA isn't, within itself, a very significant computing engine. >> John: And Vora. And Vora a-- >> Ifran: Of course, and Vora, as well. Now you're finishing off my sentences. Thank you. >> (laughs) This is what theCUBE is all about, we got a good cadence going here. Alright, so but now the challenge. HANA's also, by the way, was super fast when it came out, but then it didn't really fire in my opinion. It's swim-lane. It seems now, it's so clear that the fruit is coming off the tree, now. You're seeing it blossom beautifully. You got S/4 HANA, you got the core... Explain that because people get confused. Am I buying HANA Cloud, am I buying HANA Cloud Platform? Share how this is all segmented to the buyer, to the customer, to the customer. >> Sure, I mean firstly, SAP applications need to have a system of record. HANA is a system of record. It has a database capability, but ultimately HANA is not just a database. It's an entire platform with integration, and application services, and, of course, with data services. Now, as a consequence, when we talk about the HANA Cloud Platform, this is taking HANA as a core technology, as a platform, embedding it inside of a cloud deployment environment called a HANA Cloud Platform. It gives on opportunity where customers are perhaps implementing on premise S/4, or even in a public S/4 instance, an opportunity to extend those applications as perhaps they may need or require to do so for their business requirements. So, in layman's terms, you have a system of record requirement with SAP applications, that is HANA. It is only HANA now in the case of S/4. And in order to extend the application as customers want to customize those applications, there is one definitive extension venue, and that's called the HANA Cloud Platform. >> John: And that mainly is for developers, too. I call it the developer cloud, for lack of a better description or a more generic one. That's the cloud foundry. Basically the platform is a service that is actually bolting on, I guess a developer on-ramp, if you will. Is that a safe way to look at it? >> Ifran: Yeah, I mean I think the developer interaction point with SAP now certainly becomes HCP, but it also is a significant ecosystem enabler, as well. Only last week, or week-before-last in fact, we announced the relationship with Apple, which is a phenomenal extension of what we do with business applications, and HCP is the definitive venue for the Apple relationship in effect. >> So, tell us a little bit about borrowing or building upon that. What is increasingly... How should an executive, when I think about digitalization, how should they think about it? Is this something that is a new set of channels, or the ability to reach new customers, or is there something for fundamental going on here? Is it really about trying to translate more of your business into data in a way that it's accessible so it can be put to use and put to work in more and different ways? >> Sure, it's a great question. So, what is digitalization? Well, firstly, it's not new. I mean, SAP didn't invent digitalization, but I think we know a fair bit about where digitalization is going to take many businesses in the next three to five years. So, I would say that there's five prevailing trends that are fueling the need to go digital. The first thing is about hyperconnectivity. If we understand that data and information is not only just consumed, it's created in a variety of places, and geographically just about anywhere now is connected. I mean, in fact, I read one statistic that 90 percent of the world's inhabitable land masses have either cellular or wireless reception. So, truly, we're hyperconnected. The second thing is about the scale of the cloud, right? The cloud gives us compute, not just on the desktop, but anywhere; and by definition of anywhere, we're saying if you have a smart appliance at an edge, that is, in fact, supercomputing because it gives you an extension to be able to get to any compute device. And then you've got cloud, and on top of which, you have cyber-security, and a variety of other things like IOT. These things are all fueling the need to become digitally aware enterprises, and what's ultimately happening is that business transformation is happening because somebody without any premises, without any assets, comes along and disrupts a business. In fact, one study from Capgemini and, of course, from MIT back in 2013, was revealing that in the year 2,000 and 20, 2020 rather, out of the SMP 500, approximately 40 percent of the businesses are going to cease to exist. For the simple reason, those business transformations that are going on disrupting their classical business models are going to change the way that they operate. So, I would just, in a concatenated way of answering your question, digital transformation at the executive level is about, not just surviving, it's about thriving. It's about taking advantage of the digital trends. It's about making sure that, as you reinvent your businesses, you're not just looking at what you do today. You're always looking at that as a line that's been deprecated. What are you going to do in addition to that? That's where your growth is going to come from, and SAP's all about helping customers become digitally aware and transform their organizations. >> Paul: So, you're having conversations with customers all the time about the evolution of data management technologies, and your argument being is that HANA is more advanced, a columnar database in memory, speed, more complexity in the IO, all kinds of wonderful things that it makes possible can then be reflected in more complex, or more rich, value creating applications. But, the data is often undervalued. >> Ifran: Of course. >> The data itself. We haven't figured out how to look at that data, and start treating it literally as capital. We talk about a business problem, we talk about how much money we want to put there, how much people we want to put there, but we don't yet talk about how much data is going to be required either to go there and make it work, or that we're going to capture out of it. How are you working with customers to think that problem through? Are they thinking it through differently in your experience? >> Yeah, that's a great question. So, firstly, if I was to look at their value association with data, we can borrow from the airline industry perhaps as an analogy. If you look at data, it's very equivalent to passengers. The businesses that we typically operate on are working on first and business class data. They've actually made significant investments around how to securely store, access, process, manage all of this business class and first class data. But, there's an economy class of data which is significant and very pervasive, and if you look at it from the airline's point of view, an economy class individual passenger doesn't really equate to an awful lot, but if you aggregate all the economy class passengers, it's significant. It's actually more than your business and first class revenue, so to speak. So, consequently, large organizations have to start looking at data, monetizing the data, and not ignoring all of the noise signals that come out of the sensors, out of the various machinery, and making sure that they can aggregate that data, and build context around it. So, we have to start thinking along those ways. >> John: Yes, I love that analogy, so good. But, let's take that one step further. I want to make sure I go on the right plane, right? So, one, that's the data aware. So, digital assets is the data, so evaluation techniques come into play, but having a horizontally traversal data plane really, in real time, is a big thing because, not only do I go through security, put my shoes through, my laptop out, that's just IT. The plane is where the action is. I want to be on the right plane. That's making data aware, the alchemy behind it, that's the trick. What's your thoughts on that because this is a cutting area. You hear AI ontolgies and stuff going on there now, machine learning, certainly. Surely not advancing to the point where it's really working yet. It's getting there, but what's your thoughts on all this? >> Yeah, so I think the vehicle that you're referring to, whether it's a plane or whatever the mode of transportation is, at a metaphor level, we have to understand that there is a value in association with making decisions at the right time when you have all the information that you need, and by definition, we have created a culture in IT where we segregate data. We create this almost two swim lane approach. This is my now data, this is my transactional data, and here's my data that will then feed into some other environment, and I may look to analyze it after the event. Now, getting back to the HANA philosophy from day one, it was about creating a simplified model where you can do live analytics on transactional data. This is a big, significant shift. So, using your aircraft analogy, as I'm on there, I don't want to suddenly worry about I didn't pick up my magazine from Duty Free or whatever, from the newspaper stand. I've got no content now, I can't do anything. Alright, for the next nine hours, I'm on a plane now and I've got nothing to do. I've got no internet, I've got no connectivity. The idea is that you want to have all of the right information readily available and make real time decisions. That calls for simplified architectures all about HANA. >> We're getting the signal here. I know you're super busy. Thanks so much for coming on theCUBE. I want to get one final question in. What's your vision around your plans? I'll say it's cutting-edge, you get a great area, ecosystem's developing nicely. What's your goals for the next year? What are you looking to do? What are your key KPI's? What are you trying to knock down this year? What's your plans? >> I mean, first and foremost, we've spent an awful lot of time talking about SAP transformations and around SAP customer landscape transformations. S/4 is all about that. That is a digital core. The translation of digital core to SAP should not be inhibiting other customers who don't have an SAP transaction or application foundation. We want to be able to take SAP to every single platform usage out there and most customers will have a need for HANA-like technology. So, the top of my agenda is let's increase the full use requirements and actual value of HANA, and we're seeing an awful lot of traction there. The second thing is, we're now driving towards the cloud. HCP is the definitive venue not just for the ecosystem, for the developer and also for the traditional SAP customers, and we're going to be promoting an awful lot more exciting relationships, and I'd love to be able to speak to you again in the future about how the evolution is taking place. >> John: We wish we had more time. You're a super guest, great insight. Thank you for sharing the data here >> Ifran: Thank you for having me. >> John: On theCUBE. We'll be right back with more live coverage here inside the cube at Sapphire Now. You're watching theCUBE. (techno music) (calm music) >> Voiceover: There'll be millions of people in the near future that want to be involved in their own personal well-being and well--
SUMMARY :
the leader in platform as a service. We go out to the events and extract an event the same day, or even the Hadoop era, so to speak. John: And Vora. and Vora, as well. that the fruit is coming and that's called the HANA Cloud Platform. I call it the developer cloud, and HCP is the definitive venue or the ability to reach new customers, that are fueling the need to go digital. all the time about the evolution is going to be required either and not ignoring all of the noise signals So, digital assets is the data, at the right time when you have all We're getting the signal here. HCP is the definitive venue Thank you for sharing the data here here inside the cube at Sapphire Now.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Vora | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Paul | PERSON | 0.99+ |
Ifran Khan | PERSON | 0.99+ |
Apple | ORGANIZATION | 0.99+ |
Peter Burris | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
Ifran | PERSON | 0.99+ |
John Furrier | PERSON | 0.99+ |
2014 | DATE | 0.99+ |
Irfan Khan | PERSON | 0.99+ |
2013 | DATE | 0.99+ |
2015 | DATE | 0.99+ |
Bill McDermott | PERSON | 0.99+ |
HANA | TITLE | 0.99+ |
2010 | DATE | 0.99+ |
Console Inc. | ORGANIZATION | 0.99+ |
next year | DATE | 0.99+ |
last week | DATE | 0.99+ |
EMC | ORGANIZATION | 0.99+ |
HANA Cloud Platform | TITLE | 0.99+ |
S/4 | TITLE | 0.99+ |
Capgemini | ORGANIZATION | 0.99+ |
Orlando, Florida | LOCATION | 0.99+ |
SAP | ORGANIZATION | 0.99+ |
second thing | QUANTITY | 0.99+ |
today | DATE | 0.98+ |
one final question | QUANTITY | 0.98+ |
MIT | ORGANIZATION | 0.98+ |
first | QUANTITY | 0.97+ |
Hadoop | TITLE | 0.97+ |
2016 | DATE | 0.97+ |
HANA Cloud | TITLE | 0.97+ |
one | QUANTITY | 0.97+ |
approximately 40 percent | QUANTITY | 0.96+ |
firstly | QUANTITY | 0.96+ |
one study | QUANTITY | 0.96+ |
four more years | QUANTITY | 0.96+ |
three milestones | QUANTITY | 0.95+ |
five prevailing trends | QUANTITY | 0.94+ |
theCUBE | ORGANIZATION | 0.94+ |
five years | QUANTITY | 0.93+ |
one statistic | QUANTITY | 0.92+ |
this year | DATE | 0.91+ |
SAP HANA Cloud | TITLE | 0.91+ |
first thing | QUANTITY | 0.91+ |
day one | QUANTITY | 0.9+ |
2020 | DATE | 0.9+ |