Kieron James, Wonderful.org | On the Ground at AWS UK 2019
(upbeat music) >> Hi everybody, welcome back to London. I'm Dave Vellante and you're watching theCUBE. We go out to the events, we extract the signal from the noise and we've been following AWS generally and the public sector specifically for a number of years now. We've seen the ascendancy of an expansion of public sector. We've covered the career of Teresa Carlson, and we're here in London ahead of AWS Summit London. There's a pre-day here, there's a number of public sector companies, there's a focus on healthcare. Kieron James is here, he's the founder of Wonderful.org. Wonderful.org is a fundraising vehicle, it's a really setup platform essentially for self-service. Kieron, welcome to theCUBE, thanks for coming up. >> Hello. >> So, tell me about Wonderful, why you started this organization? >> Wonderful was kicked off when I got to my 50th birthday, essentially, it's a way to give back. I've been involved in the tech sector for many years and we were sitting on quite a lot of infrastructure. We thought we had some spec paucity as well and we thought what we can do with the resource, human and physical, in terms of giving something back to charities. So, one of the things that looked like a great opportunity was to setup a completely fee-free fundraising platform. And essentially, that's what we kicked off with a brief of concept in 2016. >> So, fee-free meaning I can come in, I can setup my own fundraising vehicle so all the money goes to the recipients. >> A 100%, we have no charges whatsoever to charities, to donors, to fundraisers. And essentially, all the card processing fees as well are covered, and through the generosity of AWS and its NPO program, we've been able to also cover things like hosting as well which has been phenomenal for us, 'cause it really does enable us to give every single penny to charity. >> So, how do you fund your staff? >> The staff currently on our model going forward, if it's one that we continue, if we can continue to support is through secondment. So, we seconded our technical resource from my day job which is essentially running a telecoms business, and those guys are incredibly generous with their time. So, evenings and weekends have been devoted to setting up and maintaining the platform. We've called in favors from people we have networked with over the years. So again, when we moved beyond proof of concept into the current website now, the current build, we were able to get that done with some cost but albeit, a fraction of what we would've paid commercially. And essentially as we move forward, we want the whole concept to Wonderful.org to be something much bigger than just the organization. It's a vehicle for commercial organizations to do good. >> So, lots of in-kind contributions, lots of your time obviously so, when did you start the organization? >> 2016 and essentially, we went through what I describe as a proof of concept. We set three broad milestones, one was the first 100 charities onboard, first 100,000 pounds of a revenue or charity not really revenue but charity donations through the website. And we launched our first Wonderful week where we brought some sports celebrities including Phil Neville, now the manager of the England women's football team. He came on board to do some charity work for us with his family. Once we passed through those three milestones, it was then a case of saying, okay we've achieved all of these now, let's push the button and actually do this properly in inverted commas, and that's when we looked at hosting the thing properly, looked at the commercial build and so on. >> So that those milestones were really the prove the concept. >> Yeah. >> But they're pretty substantial milestone, >> Sure. >> And you hit them pretty fast though. >> We did hit them fast but again to give you some context on that, the first 100,000 through the website probably took us I would guess between 12 and 14 months. In the last 28 days, we've processed about a quarter of a million pounds through the website. So, the growth's been phenomenal and the appetite from the charities is enormous. What's particularly interesting about our sector is that whilst the lot of the events that take place like the London Marathon and so on, are very predictable, we know exactly the date and time that people are gonna be donating. Clearly, you get events that are completely unpredictable. We've gotta be able to respond and be available for donors to give when those kinds of things happen. >> Okay so, this leads me to the conversation about your infrastructure and obviously the Cloud. When you started the organization, you had your own owned premises infrastructure, correct? >> Correct. >> So take us through what that looked like and your decision to move to the Cloud. >> Expensive, disjointed, very complex. So, we were running essentially a full stock on a number of servers that were hosted independently. Co-location was expensive, maintenance was expensive, even things like getting to site were expensive, and if the rare occasions when you do have to do that in a hurry it can be quite time-consuming, particularly as I say given our profile where these guys are really doing it for love not money. So, it became apparent to us, I think learning from some scenarios that we've seen in the real world with other platforms as well when even the predictable events had still created some concerns for some of the charities in terms of availability. So, we've took a long hard look at what we had and said, are we scalable, are we fully available? Probably not, we need to look at this in some detail now. So, that was when we completely re-architected the website and looked at AWS. >> So, it was not only a matter of say scaling up for high demand and unpredictability but you had a fragile infrastructure. >> We did. >> And essentially, (chuckles) you're volunteers trying to keep it together. >> Exactly. >> So that's not a good formula for high availability, right? >> No, absolutely not. >> So, how does that change with the Cloud? >> With the Cloud, I think what we've got now is we've got a really good view of everything. We've got a view of the whole of our infrastructure in one place, so it gives our operations director a lot more peace of mind 'cause he can see all of the resources at his disposal. I think in terms of security, it's far far better for us as well, because we can manage access to various components, available US, depending on who needs access. So, our web developers are currently remote, they're not formally part of the organization. So, we can strict access to things that we don't want 'em to have access and so on and give them full access where it's required. So, I think that's been a lot of peace of mind for the operations director. And just having that confidence in clearly a brand that's got a huge reputation and people feel immensely confident about seeing. So, for us being to put the AWS badge on the website to reinforce to our users, to our donors that we're here, we're solid, we're stable, we're not going anywhere, it's really really important. >> Anyway, you said upfront that Adobe has some skin in the game, they're providing some services, >> They are. >> Some contributions. >> Yeah. >> So, that's gotta be pretty substantial. >> Massive. >> For you guys, yeah. >> Absolutely massive. I mean in all honesty, it's second only to card processing which is a significant cost of doing our business and one which is paid for by our other corporate sponsors. It's our second biggest cost without a doubt or would be if it were a cost but mercifully, AWS has come to the rescue and we're able to do what we're doing now. >> So corporate sponsors, give a little commercial, how does that work? >> Well essentially, our biggest corporate sponsor, our main partner at the moment is The Co Operative Bank and they have underwritten all of our card processing fees for the duration of that partnership. The big caveat with that is that we don't know what they will be and whilst we can provide some forecast based on empirical evidence, worst case scenario, there's another tragedy, people reach for their wallets and give, and suddenly that can go through the roof in the course of a couple of weeks. So, the difficulty in bringing corporate sponsors on for us is just that kind of unpredictability of the sector that we're operating in, but they've been tremendous. >> That's amazing right? >> Yeah. >> 'cause I could say that's a big junk of your cost >> For sure. >> Along with your infrastructure but, I'm fascinated by this organization and just wanna congratulate you on the mission and actually getting it off the ground because we all when we give to a charity, we always ask okay, what are the administrative cost behind this? You go to the website and you look it up and sometimes you just don't feel comfortable, and so what you've done is actually just eliminated that overhead. >> Completely. >> And where do you see this going? I mean you've got like 15 hundred registered charities now. >> Yes, yeah we're up to 15 hundred, again we've had a couple of fairly major events we were endorsed by the Money Saving Expert at number one but how could they not put us at number one. (they both laugh) Would've been very odd if they hadn't, given that we're the only completely fee-free platform. That clearly creates the demand and I think that endorsement was a huge catalyst to the growth. More recently, we've seen other things, BT MyDonate actually pulled out of this sector which has caused a lot of charities to migrate to our platform as well. In terms of where we see it going, we will need to continue to raise money from corporate sponsors to support it. But, there is a real step game in that, we have to manage that growth to meet their expectations as best as we can. But equally, new corporate sponsors coming onboard will want to see that we've got enough eyeballs to make it worth their while getting behind the organization. So, it's that constant game of trying to bring on the next round of funding and getting people through. >> How global do you see this getting? How is it today and in the future? >> Conceptually, there's no reason at all why this shouldn't be a global phenomenon but, we're now very concentrated on the UK, just because of our resource and we do get requests all of the time for international charities, for international fundraisers and so on, but we've gotta be realistic about what we can support. But going back to the point that I made earlier, it really isn't about Wonderful.org, it's about just corporations, fundraisers, charities, donors, we see all of the last three being wonderful all of the time by the nature of what they do, we're just trying to get more corporations to be as wonderful as, sounds terribly sick and fancy, but as AWS has been in supporting what we're doing, it's that sense of what we're trying to achieve here goes beyond one organization. >> Well, and the Cloud allows you to scale potentially to the extent that you can get the resource. There's no reason you can't go global. >> No. >> I'm gonna check it out and see even for a little local charity, can I (he chuckles), >> Absolutely. >> Can I participate, what does that involve? Do you have to have some minimum threshold or? >> No? >> No, anybody can-- >> Anybody, but you need to be a registered UK charity with one of the UK registrars. Beyond that, we go through a little bit of due diligence with the charity, so we will need to see some documentation. So, there's a little manual step in onboarding charities, but for all the right reasons, we wanna be diligent about the people using the platform to give the fundraisers the confidence that they're donating to a charity. So, we don't do any peer-to-peer fundraising, it is literally you'll register as a charity and the fundraisers can support your charity, often led by the fundraisers rather than the charities, interestingly, so the fundraisers will be saying to the charities, why are you not on this platform which gives you everything and you're already on this platform which doesn't. So, there's quite a lot of pressure now coming from the fundraisers to pull the charities in. >> So, there's a lot of word-of-mouth, a lot of peer-to-peer. >> Absolutely. >> Right, you don't really have the funding. >> There is no. >> The budget to go market. >> Not at all. >> Yeah, that's remote. >> Absolutely not. >> Well, hopefully this will help. >> Thank you very much. >> Thanks so much for coming to theCUBE, really appreciate your time. >> Thank you. >> Alright, thank you for watching everybody. This is Dave Vellante, you're watching theCUBE. We'll be back right after this short break from AWS HQ in London, right back. (upbeat music)
SUMMARY :
We go out to the events, we extract the signal and we thought what we can do with the resource, goes to the recipients. And essentially, all the card processing fees as well and maintaining the platform. 2016 and essentially, we went through what I describe So that those milestones So, the growth's been phenomenal Okay so, this leads me to the conversation to move to the Cloud. and if the rare occasions when you do have to do that So, it was not only a matter of say scaling up And essentially, (chuckles) With the Cloud, I think what we've got now So, that's gotta be and we're able to do what we're doing now. So, the difficulty in bringing corporate sponsors on for us and actually getting it off the ground And where do you see this going? to meet their expectations as best as we can. by the nature of what they do, we're just trying Well, and the Cloud allows you to scale potentially from the fundraisers to pull the charities in. have the funding. to theCUBE, really appreciate your time. thank you for watching everybody.
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Alastair Allen, Kainos | On the Ground at AWS UK 2019
(upbeat music) >> Hi everybody, welcome back to London. You're watching The Cube, and we have a special coverage here of the pre-day at AWS headquarters in London. I'm Dave Vellante and The Cube, we go out to the events, we extract the signal from the noise. Alastair Allen is here, the chief technical officer of Healthcare Kainos Software. It's a Belfast based company, publicly traded company. Alastair, welcome to The Cube. Great to see you, thanks for coming out. You were downstairs earlier addressing the audience, we're gonna talk about that. But first of all, tell us about Kainos. >> So Kainos, Belfast based company, formed in the late '80's a spin out of Queens University in Belfast. We've grown to now over 1300 people and we build digital technology to help people work faster, smarter and better. There's two things we do. We provide digital services, bespoke services for public and private sector organizations across the world, and we provide digital platforms for work day customers and also for healthcare organizations. >> So, when you say digital platforms. What exactly do you mean by that? Tell our audience. >> So, our digital platforms in healthcare is something that we can talk about. So platforms to enable both hospitals to digitize their workflow and also regions, so CCG's , STP's within the NHS. To bring information together using a platform and normalizing that data and making it available to clinicians and patients. >> And this is, your flagship product is called Evolve. Correct? >> Correct. >> And you're one of the sort of founders or inventors of Evolve. Tell us more about Evolve. >> So Evolve, originated just over ten years ago, our first customer was Ipswich Hospital and Ipswich had a big problem with paper, with a large medical records library and they asked us to come in and help them digitize that and make it available in an easy to view, accessible format for their clinicians. >> So tell me more about that. So you digitize it, you take all this mounds of paper and what does that do? Other than reduce the amounts of paper. Does it make it searchable? >> Yeah, we index the content, we apply metadata whenever we capture it, trying to make it accessible for clinicians. I think when you digitize paper , the one good thing paper had going for it was you could pick it up and it was tactile. So we've done a lot of work to try and make it mobile, make it accessible, make it searchable and increasingly now with some of the services that AWS provide, we're able to look at taking that even further and getting more information out of that content. >> Add some color to that. So how has the AWS cloud affected your ability to deliver these capabilities to your customers? >> Well I think, the breathe and depth of services that AWS provide, enables us to be able to innovate quickly, to use services like I've mentioned like comprehend medical. That take the heavy lifting, away from us and helps us focus on delivering better applications for our customers. >> So part of what you do, is you architected the software that's running on the cloud. Can you talk a little bit about the architecture? What you guys have built. Presumably the cloud allows you to scale. >> Alastair Allen: Yeah. >> And take advantage of more innovations. But discuss the architecture if you would. >> So, the product that I originally talked about in 2009 and about four years ago in 2015, we decided to re-platform for the cloud. And that was in response to a number of problems that we were seeing in the market. And moved to patient centered care, a drive to try and standardize care away from the variable nature that was there and also to get away from closed silos of information. And we decided at that point to create our platform natively in the cloud and using the services of Amazon web services. So we created a microservices based architecture that runs in multi-candidate cloud native way. With a AWS. That allows us to adopt disciplines like continuous delivery and cultures like DeVops. We've been able to release value quickly and often to our customers. >> So it was a total rewrite of the platform? >> Yes. So we started again from scratch and we developed that using the modern cloud services. And we've used that then for all use cases as well so we've moved beyond just settings within a hospital. And been able to take that beyond the walls of a hospital, out into the community, into primary care, mental health. And delivering solutions like that, across regions within the NHS, to join up information. Where before clinicians would simply not have had access to those. >> In a sense you're migrating your existing install base to the cloud based platform, as I presume it's a SAS based platform. Is that right? >> So, Evolve Integrated Care is a platform it's a SAS based platform. So we run it, we monitor it, we maintain it and we deliver that as a service to our customers. >> And so your existing customers now have an opportunity to migrate and how does that all work? >> Yeah, so we're talking to our existing customers, how they can leverage the cloud based platform and the breathe of different services that it provides. We very much see an opportunity for helping to digitize a hospital. So how do you optimize the flow of patients through a hospital and making sure that clinicians have access to the information. Many of customers have hundreds of applications, information spread across their estate, bringing that together and orchestrating the workflow for particular pathways or particular conditions. >> Plus they have to manage their own infrastructure, I presume. >> Absolutely, and we want to build applications quickly, they want to focus on delivering healthcare. They don't want to focus on managing ten and server rooms within their hospitals. So, our move to the cloud really came about because of our customers telling us that they're struggling to manage this infrastructure. They wanted us to take some of that burden away from them and to help them with some of their security challenges, availability challenges. Quite often their local infrastructure was not very resilient. And by moving to AWS, we were able to use native cloud services to address many of those challenges. >> So you're taking away that heavy lifting for them. AWS takes it away for you. >> Alastair Allen: Yeah. >> In a large regard as well. While your engineers can obviously program the infrastructure. But how have you seen the customers that have moved and taken advantage of this. What has it done for their business specifically? What's the impact? >> So, what I think, it frees up people within their organization to scale up in other areas to do other things. It frees up physical space as well in many cases. It takes away risks and we've all heard of some of the recent security incidents. Wanna Cry was a huge thing in the NHS not so long ago. Coming around from just simple things like not patching servers and work stations. So, by taking on that responsibility we're freeing up those hospital systems to focus on what they do best. >> How do they do that? Do they kind of retrain folks? What's that been like? I presume it wasn't frictionless but it's an opportunity for people to advance their careers. Do you have any visibility on how your customers have handled that? >> To be honest, not a huge amount. It has, I agree, there has been some friction there. It's not always an easy journey, there's a whole mindset change of what people used to do before and the types of activity that they'll do tomorrow. And it's something that our customers are still on a journey on. And so we're quite early on in that process. >> But I would say to folks in the IT community of your expertise's of managing storage arase, there's probably a better future for you if you can move up the stack and learn more about applications , data, machine intelligence. >> Absolutely, higher up the value chain and getting closer to the user, closer to the customer. >> I mean, that's where the difference is. And it's particularly in healthcare right? You try to balance the cost of healthcare, everybody's aware of the rising cost of healthcare with the patient outcomes. And technology is a way to address that problem. Isn't it? >> Absolutely, and I think never before. I think it's just a great time to work in health IT. We've now got access to some fantastic services the rise of artificial intelligence, the machine learning has never before been so available. And really having organizations such as ourselves to really solve those problems that our customers have and introduce those efficiencies and ultimately better patient outcomes. >> So how are you using the data that lives in Evolve, I presume you're looking at applying artificial intelligence and the like, talk about that. But also, how do you ensure security, privacy, etcetera? >> So, a couple things on data, I think one of the things we've done recently is the adoption of the FHIR standard within healthcare and all the data that we aggregate from the various clinical systems, we normalize that down into a single FHIR data profile and that really helps us then have a common data model that our application can use. But that's only the start, that creates the potential then to use that for secondary usage, such as publishing health data analytics and ultimately machine learning. And we're looking at a number of errors in machine learning, I think there are some ethical challenges there to be aware of and we've started with a recent examples of understanding how we can use machine learning to try and get that structured data out of the documents, that's something that we're working on with data with the AWS team at the minute, to leverage a lot of that scanned content that we have and evolve and be able to create the structured outcome. Really to make it easier for clinicians to find information within the medical record. >> So the AWS reinvent last fall, you know Sage Maker was of course buzzing. Is that something that you're looking at? >> It's something, so we haven't used it in Evolve so far but within Kainos we have an AI practice and we have a group of guys that are focused on the AI capability. Evaluating those tools, working with AWS and helping us understand how we can use that technology to solve the problems of our customers. >> Yeah, it's early days. So you talk about helping solve the problems of the customers. Summarize for us the key problems that you see machine intelligence, AI solving. >> I think there's probably different categories of how you could use it. There's the diagnostic sort of use case where you could use AI to help process imagery, to help with the diagnostic process. There's being able to add personalization to whether that be to patients or to clinicians, helping to provide insight into whatever the use case may be and all the use cases similar to that. >> Last words, so you're addressing the pre-day healthcare reform that's going on here at AWS. What's that like, what's going on downstairs, what did you tell the audience? >> Yeah, great day. So we had a group of healthcare professionals across the NHS in Ireland, very interesting group. We spoke this morning, I spoke with our customer Gloucester CC chief and we talked about the shared care record solution that we've delivered into Gloucester. So that's bringing information together for over 600,000 patients across the region and providing information in a single joined up view that was not available before. So great feedback, great interaction, lots of questions afterwards so looking forward to going back down and chatting some more to the group. >> Excellent. Hard to do that without the cloud I would imagine , accommodating all of the 600,000 customers right. >> Not possible. >> Alastair thanks so much for coming to The Cube. >> Thanks, Dave. >> Appreciate having you. Alright, thanks for watching everybody. Keep it right there, we'll be back with our next guest. You're watching The Cube from AWS headquarter in London. We'll be right back. (upbeat music)
SUMMARY :
and we have a special coverage here of to help people work faster, smarter and better. So, when you say digital platforms. So platforms to enable both hospitals to And this is, your flagship product And you're one of the sort of founders in an easy to view, accessible format Other than reduce the amounts of paper. and getting more information out of that content. So how has the AWS cloud affected your to innovate quickly, to use services Presumably the cloud allows you to scale. But discuss the architecture if you would. And moved to patient centered care, And been able to take that beyond the walls of existing install base to the and we deliver that as a service and the breathe of different services Plus they have to manage And by moving to AWS, we were able to use So you're taking away that heavy lifting What's the impact? their organization to scale up in other areas to advance their careers. and the types of activity that there's probably a better future for you and getting closer to the user, everybody's aware of the rising cost of healthcare to work in health IT. and the like, talk about that. that creates the potential then to So the AWS reinvent last fall, you know that technology to solve the problems of our customers. the problems of the customers. and all the use cases similar to that. What's that like, what's going on downstairs, going back down and chatting some more to the group. Hard to do that without the cloud with our next guest.
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Anjanesh Babu, Oxford GLAM | On the Ground at AWS UK
(upbeat music) >> Welcome back to London everybody, this is Dave Vellante with The Cube, the leader in tech coverage, and we're here at AWS. We wanted to cover deeper the public sector activity. We've been covering this segment for quite some time, with the public sector summit in DC, went to Bahrain last year, and we wanted to extend that to London. We're doing a special coverage here with a number of public sector folks. Anjenesh Babu is here, he's a network manager at Oxford GLAM. Thanks very much for coming on The Cube, it's good to see you. >> Thank you.], thanks. >> GLAM, I love it. Gardens, libraries and museums, you even get the A in there, which everybody always leaves out. So tell us about Oxford GLAM. >> So we are part of the heritage collection side of the University. And I'm here representing the gardens and museums. In the divisions we've got world renown collections, which has been held for 400 years or more. It comprises of four different museums and the Oxford University Botanic Gardens and Arboretum. So in total, we're looking at five different divisions, spread across probably sixteen different sites, physical sites. And the main focus of the division is to bring out collections to the world, through digital outreach, engagement and being fun, bringing fun into the whole system. Sustainment is big, because we are basically custodians of our collections and it has to be here almost forever, in a sense. And we can only display about 1% of our collections at any one point and we've got about 8.5 million objects. So as you can imagine, the majority of that is in storage. So one way to bring this out to the wider world is to digitize them, curate them and present them, either online or in another form. So that is what we do. >> In your role as the network manager is to makes sure everything connects and works and stays up? Or maybe describe that a little more. >> So, I'm a systems architect and network manager for gardens and museums, so in my role, my primary focus is to bridge the gap between technical and the non-technical functions, within the department. And I also look after network and infrastructure sites, so there's two parts to the role, one is a BAU business as usual function where we keep the networks all going and keep the lights on, basically. The second part is bringing together designs, it's not just solving technical problems, so if I'm looking at a technical problem I step out and almost zoom out to see, what else are we looking at which could be connected, and solve the problem. For example, we could be looking at a web design solution in one part of the project, but it's not relevant just to that project. If you step out and say, we could do this in another part of the program, and we may be operating in silence and we want to breakdown those, that's part of my role as well. >> Okay, so you're technical but you also speak the language of the organization and business. We put it in quotes because you're not a business per say. Okay, so you're digitizing all these artifacts and then making them available 24/7, is that the idea? What are some of the challenges there? >> So the first challenge is only 3% of objects are actually digitized. So we have 1% on display, 3% is actually digitized, it's a huge effort, it's not just scanning or taking photographs, you've got cataloging, accessions and a whole raft of databases that goes behind. And museums historically have got their own separate database collection which is individually held different collection systems, but as public, you don't care, we don't care, we just need to look at the object. You don't want to see, that belongs to the Ashmolean Museum or the picture does. You just want to see, and see what the characteristics are. For that we are bringing together a layer, which integrates different museums, it sort of reflects what we're doing in out SIT. The museums are culturally diverse institutions and we want to keep them that way, because each has got its history, a kind of personality to it. Under the hood, the foundational architecture, systems remain the same, so we can make them modular, expandable and address the same problems. So that's how we are supporting this and making it more sustainable at the same time. >> So you have huge volume, quality is an issue because people want to see beautiful images. You got all this meta data that you're collecting, you have a classification challenge. So how are you architecting this system and what role does the Cloud play in there? >> So, in the first instance we are looking at a lot of collections were on premises in the past. We are moving as a SaaS solution at the first step. A lot of it requires cleansing of data, almost, this is the state of the images we aren't migrating, we sort of stop here let's cleanse it, create new data streams and then bring it to the Cloud. That's one option we are looking at and that is the most important one. But during all this process in the last three years with the GLAM digital program there's been huge amount of changes. To have a static sort of golden image has been really crucial. And to do that if we are going down rate of on premise and trying to build out, scale out infrastructures, it would have a huge cost. The first thing that I looked at was, explore the Cloud options and I was interested in solutions like Snowball and the Storage Gateway. Straightforward, loads up the data and it's on the Cloud, and then I can fill out the infrastructure as much as I want, because we can all rest easy, the main, day one data is in the Cloud, and it's safe, and we can start working on the rest of it. So it's almost like a transition mechanism where we start working on the data before it goes to the Cloud anyway. And I'm also looking at a Cloud clearing house, because there's a lot of data exchanges that are going to come up in the future, vendor to vendor, vendor to us and us to the public. So it sort of presents itself a kind of junction, who is going to fill the junction? I think the obvious answer is here. >> So Snowball or Gateway, basically you either Snowball or Gateway the assets into the Cloud and you decide which one to use based on the size and the cost associated with doing that, is that right? >> Yes, and convenience. I was saying this the other day at another presentation, it's addictive because it's so simple and straight forward to use, and you just go back and say it's taken me three days to transfer 30 terabytes into a Snowball appliance and on the fourth day, it appears in in my packets, so what are we missing? Nothing. Let's do it again next week. So you got the Snowball for 10 days, bring it in transfer, so it's much more straightforward than transferring it over the network, and you got to keep and eye on things. Not that it's not hard, so for example, the first workloads we transferred over to the file gateway, but there's a particular server which had problems getting things across the network, because of out dated OS on it. So we got the Snowball in and in a matter of three days the data was on the Cloud, so to effect every two weeks up on the Snowball, bring it in two weeks, in three days it goes up back on the Cloud. So there's huge, it doesn't cost us any more to keep it there, so the matter of deletions are no longer there. So just keep it on the Cloud shifting using lifecycle policies, and it's straight forward and simple. That's pretty much it. >> Well you understand physics and the fastest way to get from here to there is a truck sometimes, right? >> Well, literally it is one of the most efficient ways I've seen, and continues to be so. >> Yeah, simple in concept and it works. How much are you able to automate the end-to-end, the process that you're describing? >> At this point we have a few proof of concept of different things that we can automate, but largely because a lot of data is held across bespoke systems, so we've got 30 terabytes spread across sixteen hard disks, that's another use case in offices. We've got 22 terabytes, which I've just described, it's on a single server. We have 20 terabytes on another Windows server, so it's quite disparate, it's quite difficult to find common ground to automate it. As we move forward automation is going to come in, because we are looking at common interface like API Gateways and how they define that, and for that we are doing a lot of work with, we have been inspired a lot by the GDS API designs, and we are just calling this off and it works. That is a road we are looking at, but at the moment we don't have much in the way of automation. >> Can you talk a bit more about sustainability, you've mentioned that a couple of times, double click on that, what's the relevance, how are you achieving sustainability? Maybe you could give some examples. >> So in the past sustainability means that you buy a system and you over provision it, so you're looking for 20 terabytes over three years, lets go 50 terabytes. And something that's supposed to be here for three years gets kept going for five, and when it breaks the money comes in. So that was the kind of very brief way of sustaining things. That clearly wasn't enough, so in a way we are looking for sustainability from a new function say, we don't need to look at long-term service contracts we need to look at robust contracts, and having in place mechanisms to make sure that whatever data goes in, comes out as well. So that was the main driver and plus with the Cloud we are looking at the least model. We've got an annual expenditure set aside and that keeps it, sustainability is a lot about internal financial planning and based on skill sets. With the Cloud skill sets are really straightforward to find and we have engaged with quite a few vendors who are partnering with us, and they work with us to deliver work packages, so in a way even though we are getting there with the skills, in terms of training our team we don't need to worry about complex deployments, because we can outsource that in sprints. >> So you have shipped it from a CAPX to an OPX model, is that right? >> Yes >> So what was that like, I mean, was that life changing, was it exhilarating? >> It was exhilarating, it was phenomenally life changing, because it set up a new direction within the university, because we were the first division to go with the public Cloud and set up a contract. Again thanks to the G-Cloud 9 framework, and a brilliant account management team from AWS. So we shifted from the CAPX model to the OPX model with an understanding that all this would be considered as a leased service. In the past you would buy an asset, it depreciates, it's no longer the case, this is a leased model. The data belongs to us and it's straight forward. >> Amazon continues to innovate and you take advantage of those innovations, prices come down. How about performance in the cloud, what are you seeing there relative to your past experiences? >> I wouldn't say it's any different, perhaps slightly better, because the new SDS got the benefit of super fast bandwidth to the internet, so we've got 20 gigs as a whole and we use about 2 gigs at the moment, we had 10 gig. We had to downgrade it because, we didn't use that much. So from a bandwidth perspective that was the main thing. And a performance perspective what goes in the Cloud you frankly find no different, perhaps if anything they are probably better. >> Talk about security for a moment, how early on in the Cloud people were concerned about security, it seems to have attenuated, but security in the Cloud is different, is it not, and so talk about your security journey and what's your impression and share with our audience what you've learned. >> So we've had similar challenges with security, from security I would say there's two pots, one's the contractual security and one is the technical security. The contractual security, if we had spun up our own separate legal agreement with AWS or any other Cloud vendor, it would have taken us ages, but again we went to the digital marketplace, used the G-Cloud 9 framework and it was no brainer. Within a week we had things turned around, and we were actually the first institution to go live with and account with AWS. That is the taken care of. SDS is a third party security assessment template, which we require all our vendors to sign. As soon as we went through that it far exceeds what the SDS requires, and it's just a tick box exercise. And things like data encryption at rest, in transit it actually makes it more secure than what we are running on premise. So in a way technically it's far more secure than what we could ever have achieved that's on premise, and it's all taken care of, straight forward. >> So you've a small fraction of your artifacts today that are digitized. What's the vision, where do you want to take this? >> We're looking at, I'm speaking on behalf of gardens, this is not me, per say, I'm speaking on behalf of my team, basically we are looking at a huge amount of digitization. The collection should be democratized, that's the whole aspect, bringing it out to the people and perhaps making them curators in some form. We may not be the experts for a massive collection from say North America or the Middle East, there are people who are better than us. So we give them the freedom to make sure they can curate it in a secure, scalable manner and that's where the Cloud comes in. And we backend it using authentication that works with us, logs that works with us and roll-back mechanisms that works with us. So that's were we are looking at in the next few years. >> How would you do this without the Cloud? >> Oh. If you're doing it without the Cloud-- >> Could you do it? >> Yes, but we would be wholly and solely dependent on the University network, the University infrastructure and a single point. So when you're looking at the bandwidth it's shared by students using it network out of the university and our collection visitors coming into the university. And the whole thing, the DS infrastructure, everything's inside the university. It's not bad in its present state but we need to look at a global audience, how do you scale it out, how do you balance it? And that's what we're looking at and it would've been almost impossible to meet the goals that we have, and the aspirations, and not to mention the cost. >> Okay so you're going to be at the summit, the Excel Center tomorrow right? What are you looking forward to there for us from a customer standpoint? >> I'm looking at service management, because a lot of our work, we've got a fantastic service desk and a fantastic team. So a lot of that is looking at service management, how to deliver effectively. As you rightly say Amazon is huge on innovation and things keep changing constantly so we need to keep track of how we deliver services, how do we make ourselves more nimble and more agile to deliver the services and add value. If you look at the OS stack, that's my favorite example, so you look at the OS stack you've got seven layers going up from physical then all the way to the application. You can almost read an organization in a similar way, so you got a physical level where you've got cabling and all the way to the people and presentation layer. So right now what we are doing is we are making sure we are focusing on the top level, focusing on the strategies, creating strategies, delivering that, rather than looking out for things that break. Looking out for things that operationally perhaps add value in another place. So that's where we would like to go. >> Anjenesh, thanks so much for coming on The Cube. >> Thank you >> It was a pleasure to have you. All right and thank you for watching, keep right there we'll be back with our next guest right after this short break. You're watching The Cube, from London at Amazon HQ, I call it HQ, we're here. Right back. (upbeat music)
SUMMARY :
and we wanted to extend that to London. Gardens, libraries and museums, you even get the A in there, So we are part of the heritage collection is to makes sure everything connects and works and we may be operating in silence and we want the language of the organization and business. systems remain the same, so we can make them modular, So how are you architecting this system and what role So, in the first instance we are looking at So just keep it on the Cloud shifting using lifecycle Well, literally it is one of the most efficient ways the process that you're describing? but at the moment we don't have much how are you achieving sustainability? So in the past sustainability means So we shifted from the CAPX model to the OPX model Amazon continues to innovate and you take advantage at the moment, we had 10 gig. how early on in the Cloud people were concerned and we were actually the first institution to go live What's the vision, where do you want to take this? So we give them the freedom to make sure they can and the aspirations, and not to mention the cost. and things keep changing constantly so we need to for coming on The Cube. All right and thank you for watching,
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Chris Hayman, AWS | On the Ground at AWS UK 2019
>> Hello, Room. Welcome back to London. You watching the Cube? The leader and tech coverage. My name is Dave Volante. We're here in a special program that we've constructed. It's the day before the eight of US London summit and we wanted to come and talk to some customers, some executives of startups, and really dig into what's going on in the public sector. Chris Heman is here. He's the director of UK and Ireland Public sector for eight of us. Chris, Thanks for coming on the Cube. >> Thanks for vitamins. Christ. >> Yeah. So you guys have a special public sector healthcare pre day that's going on downstairs? What's that all about? >> Yes. So obviously we'LL remain summit tomorrow expecting about twelve thousand people, which is phenomenal today that we could do something with one of our special industries, which is health care. So we've invited a number of customers and executives along for that today to learn more about cloud, how they can get going with the cloud and get, you know, start adopting a pace. So I believe you spoke with the missus about earlier on. So he misses a supplies the n hs, but also people and hs digital and so on her adopting the platform. So that's what today's all about. >> So health care is one of those sectors. It's ripe for disruption. It really hasn't been, you know, disrupted in a big way and digitized and it's starting. But the challenge is, how do you balance the cost of health care? Everybody's sensitized to that with the quality. Yeah, here. And so that's what really the problem. Show yourself. How does he ws in the cloud? Help solve that. >> Yeah, I think across the public sex. Really not just for the healthcare, but, you know, one of the things organizations are trying to do is reduce that large legacy footprint of infrastructure and really deliver against their mission, whether it be patients or citizens or whatever it may be. Ah, good example. In the in the case of the health care is we're working with a partner and I just school Business Services Authority on they have a large call center that was a really, you know, costly experience having traditional call center set up. So they've used our connect platform, our call center platform, and also some voice technologic called Lex. And they're able to reduce they stood up in about three weeks is a phenomenal effort, and they reduce their call volume by forty two percent. So basically getting the computer's towards some of the really easy queries, which, of course, meant that some of the tougher call center queries went to the actual humans and the call center handlers. So you know those sort things, I really think impact the bottom line for the HS and save some cost, but really helping to innovate a swell for for their patients and sis isn't so. >> Let's stay in health care for a second. So any just has, ah, nearly half a billion pound initiative to modernize. So if had they asked me, they didn't ask me. But had they ask me, I say, Well, part of that should be to get rid of the heavy lifting, so moved to the cloud and then really try toe transform your labor force to focus on more value added areas. It's actually helps to solve your problems. Is that essentially, what's happening? >> Understand, so that the contacts into very you know, that the people are now answering fines aren't doing those sort of Monday enquiries were it's just going to take four to six weeks. It's Maur, you know, transferring that. You know that's the computer and letting the humans do the heavy lifting. So I think that's you know, certainly one thing. But I think it's also enabling these organizations to really be closer to their citizens into their patients as well. With free liquor organizations like in the local authority, space, like else prevail. There are also using voice technology with Alexa to enable citizens to answer queries like You know who is my counselor or to update about various things within their sort of council record. And socially public sector organizations love that because they've now got this unique touch point with the sisters and at scale, whereas they would never have been able to do that previously. So that's a really good, you know, close engagement for them. >> So you hear the bromide people say data is the new oil. It's it's the it's the new natural resource. We actually think date is more valuable than oil because you can only use oil in one place. The data you can use many, many places, so data becomes increasingly important. But the problem that most traditional companies have is there, Their data is locked in silos. It's hardened into an application. And so so how are you guys attacking that problem? What do you see? A CZ trends in the customer base in terms of being able tto have sort of, ah, unified data model. And what role does the cloud >> play there? Yeah, I think it's really good questions. So there's a number of things that we're doing. First of all, we're very passionate about public date sets. So we host a number of public day sets like Lanza imagery and these sort of things, you know, fundamentally, we believe data has gravity, so, you know, for overto host and provide this data at scale for researchers and so on. That has tremendous huge benefit. But you're right about public sector organizations, and I silos a good example. Where we've we've worked is with transport for London. Obviously, if you want to get in and around the city of London, typically you go to tear filled look after UK, which runs on a dress, and you'LL say, I want to get from you know, Frank and to Liverpool Street, and that's all kind of running on top of a dress. But the really cool thing is they've opened up all that information so they don't have to develop. Those ups themselves are effectively crowd sourcing the development of those APS. So they've got some four thousand developers now working against all this data. Ah, Delight recently did a study. They reckon it's goingto generate economic benefits of one hundred thirty million pounds per annum just by making this really time data available. So So you're gaining unique business in size. But not only that, you've got organizations like city mapper who can commercialize that data develop, perhaps, and sell those apse on behalf of you know, you took to the community and so on. So you've got double bubble of s on the engagement, but also the public benefit as well. So that's really cool >> now, years ago Ah, in a past life, I had an opportunity when I worked for I d see the research company to run the government business. And when I went around and talked to the heads of military heads, the heads of agencies, there was a common theme. They were trying to close the gap between public sector and commercial. Yeah, and they never quite could get there. The cloud seems to me, Chris, to be changing that. I mean, to me, the CIA deal in twenty thirteen was a seminal moment for just the cloud and need of us specifically. But increasingly, you're seeing innovation. Yeah, it's still very difficult because you get turnover and agencies and administrations and so forth. But what are you seeing in terms of of those trends? Are you seeing public sector organizations leaning in modernizing? And again, what role does the cloud play there? >> Yeah, one hundred cent. I think you're absolutely rise. It is a unifier. In that sense we worked with, you know, we're moving mission systems to the cloud now with our customers. Ah, we worked with Dr Vehicle Stands Agency. So they're responsible for making sure our car's unroadworthy in the UK. They migrated their entire platform, which supports on thirty thousand small businesses. Try the rest in ten weeks. So it's amazing what public sector organizations are able to achieve with the pace of cloud. And a lot of it starts with experimentation. You know, that's the great thing is that you can try something. If it doesn't work, you can turn it off and you haven't lost anything but that that pace of being out to move, even mission systems. So the cloud is happening in public sexual across the board, >> and I mentioned the CIA before they start to be the American sort of parachuting in, and it's obviously a bias that I have. I'm working on my accent. But But But But the CIA was significant because everybody in the early days were so concerned about security that the head of tea in the CIA stood up last year at the D. C. Public sector Summit and said, My worst day of security in the cloud is better, far better than my client server ever. Wass. Yeah. So what about security concerns? Have they abated? They they still there? How is that evolving? >> Well, I think first of always, absolutely right that public sector organizations one hundred percent laser focused on security. But the good news is that we are to you know, its job. Zero for us is absolutely everything that we don't live and breathe by. And I think we've demonstrated that in a number of ways. I mean first of all, just the way in which we operate our physical infrastructure and everything that we do it physical pace, but then above the layer with the kind of the things that are a customer's responsible for. We have something called a shared responsibility model, so the responsibility for kind of everything above the physical infrastructure, but we provide the tools that they just never would've been able to get access to in a in a physical world, you know what our CEO's in public sector organizations do You know every servant you have, you know, just things like that. And they would just be like Now I've got no idea, but with a cloud, you have that visibility. You can see every single thing that's happening in the environment. So you get farm or visibility in control that he ever was ever were able to in a physical world. So I think that's first thing and obviously everything that we do around certification atter stations around. I so certification all the reporting and so on that we do Teo to assure our customers that we do a good job of that level as well. Ministry of Justice actually came out and said you could be more secure in the cloud than on premises and you have to focus on those areas where you're not in the cloud. So I think that was a huge testament by the UK. Come and say, Actually, this is this is secure, and this is fit for purpose, which is which is good. >> One of the things I've observed boat just technology adoption in general. You know, Silicon Valley's unique, obviously, And but, you know, outside of Silicon Valley, maybe technology adoption, you know, twenty years ago occurred more slowly. It seems like cloud adoption is very much consistent across the globe. I wonder if you could talk about that, But then specifically, public sector jobs in the cloud Do you see this Very similar sort of cadence from, you know, us rest of >> world? Yeah, I do. And I think you know, we were doing a fantastic job in the UK, Actually. Really fantastic job. Talked about some of stuff we're doing round. I I am machine learning. You know, some of these things are really leading edge on DH. If you speak to a miss earlier, they're investigating things like Blockchain for their tops of solution. So these sort of things are really pushing the boundary. But Paramount, All of that is this idea that you can experiment to try things. There's no longer there's a kind of is no longer a disparity around. Think something's fundamentally when you when you log into the console, you got access to one hundred sixty five different things and you can get going with you in the UK whether you're in the candor or in North America. So our customers are picking these things up on DH, accelerating a pace, which is which is fantastic trying all different types of things and work lights. >> Okay, if I were to ask Alexa what's gonna happen with Brexit, what would what would you tell me? I think first of >> almost, you know, with the way we think about it is it's just business as usual for us. You know, it's a fairly mundane answer, but fundamentally, you know, organization still need to adapt. This stone is transformed. They still need to evolve, and that's where we're helping and we're leaning in, you know, we're helping them with some of their EU accept programs around tooling and process and things like that. But I still came to adopt cloud a place which is which is also >> so come back to the session that you guys are running downstairs. I saw some of descriptions of it and I think there were three areas of focus. The public payers, the health care providers in the publicly funded research organizations is kind of what you guys are focused on today. So maybe close there and give us a vision for where you see eight of us public sector in the UK and >> I I think this were obviously healthcare's really fast growing vertical for us, which is fantastic upper across the board. Demand has never been greater, which is phenomenal on DH were really pushing the boundaries of what can be achieved. Yeah, we're working with, you know, I talked about some the public sector organizations with working with, you know, partners like he miss, but also small businesses as well as great example. Working with a company called Ad Zuna, which provides job search functionality. They run on a dress and they want a contract for Jobcentre Plus, which part of our department work and pensions. So it's not just the direct engagement we have with our customers. But it's also a ll the partners that we're working with to enable that in tow and functionality, which is which is really good. So we're doing a lot, lots of work in that space. And I could liken see Maura Mohr organizations not just customers in customers, but also partners technology providers coming to talk to us. Ah, and then across the spectrum, in health care, whether it's supplies to the chess or at the NSS himself, an individual trusts and and hospitals and so on, the kind of using our technology. So it's a real broad mixing spectrum of adoption. >> Outstanding, Chris, thanks so much for coming on. The Cube really appreciate it. And they were seeing the growth of a device is a DBS is actually astounding thirty billion dollars run rate company growing at forty plus percent a year. But more importantly, you're starting to see not only region expansion, but you're seeing expansion into specific verticals and ecosystems forming startups. And you guys are doing a great job of attracting these. Thanks very much for coming. Thanks. Thanks. Alright, Keep it right there. Buddy. This is David, Dante and the Cuba right back. Right after this short break. Wait
SUMMARY :
the eight of US London summit and we wanted to come and talk to some customers, Thanks for vitamins. What's that all about? So I believe you spoke with the missus about earlier you know, disrupted in a big way and digitized and it's starting. Really not just for the healthcare, but, you know, one of the things organizations are trying So any just has, ah, nearly half a billion pound initiative to modernize. Understand, so that the contacts into very you know, that the people are now answering fines aren't So you hear the bromide people say data is the new oil. that data develop, perhaps, and sell those apse on behalf of you know, But what are you seeing in terms of of those trends? You know, that's the great thing is that you can try something. and I mentioned the CIA before they start to be the American sort of parachuting in, and it's obviously a bias that But the good news is that we are to you know, its job. maybe technology adoption, you know, twenty years ago occurred more slowly. And I think you know, we were doing a fantastic job in the UK, it's a fairly mundane answer, but fundamentally, you know, organization still need to the health care providers in the publicly funded research organizations is kind of what you guys are focused on today. So it's not just the direct engagement we have with And you guys are doing a great job of attracting these.
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Andy Isherwood, AWS EMEA | On the Ground at AWS UK 2019
(electronic music) >> Welcome back to London everybody, this is Dave Vellante with theCUBE, the leader in tech coverage. We're here with a special session in London, we've been following the career of Teresa Carlson around, we asked, "hey, can we come to London to your headquarters there and interview some of the leaders and some of the startups and innovators both in public sector and commercial?" Andy Isherwood is here, he's the managing director of AWS EMEA. Andy, thanks for coming on theCUBE. >> Dave, great to be here, thank you very much for your time. >> So you're about a year in, so that's plenty of time to get acclimated, what are your impressions of AWS and then we'll get into the market? >> Yeah, so it's nearly a year and a half actually, so time definitely goes pretty quickly. So I'd say it's pretty different, I'd say probably a couple of things kind of jump out at me. One is, I think we just have a startup mentality in everything we do. So, y'know, if you think about everything we do kind of works back from the customer and we really feel like a kind of startup at heart. And we always say, y'know, within the organization, we should also make it feel like day one. If we get to day two, y'know, the game's over. So we always try and make day one something that's kind of relevant in what we're doing. I think the second thing is customer obsession. I think we are truly customer obsessed. And you could say that most organizations actually say, y'know, they're customer obsessed. I'd say we're truly customer obsessed in everything we do so if you think about our re:Invent program, if you think about, y'know, London, the summit coming up, what you will notice is that there will be customers everywhere, speaking about their experiences and that's really important. So we start with the customer and we always work back. So super important that we never forget that and if you think about how we develop our services, they start with the customer. We don't go out like a product company would and make great products and sell them. We start with the customer, work back, develop the solutions and then let the customer use them, and we iterate on those developments. So I'd say it's pretty different in those two aspects. I'd say the other thing is, it's just hugely relevant. Every customer I go into, and I've seen hundreds of customers in the last year and a half, were hugely relevant. Y'know, we are at the heart of what people want to do and need to do, which makes it important. >> Yeah, so we've been following the career of Andy Jassy for years and we've learnt about the Working Backwards documents, certainly you guys are raising the bar all the time, is sort of the mantra, and yeah, customer centricity, you said it's different, y'know, we do over a hundred events every year and every company out there talks about, "we're focused on the customer", but what makes AWS different? >> I think it's the fact that we truly listen and work back from the customer. So, y'know, we're not a product company, we don't make products with great R&D people and then take them and sell them. We don't obsess about the competition, y'know, we start with the customer, we go and speak to the customer, I think we listen intently to what they need, and we help them look round corners. We help them think about what they need to do for them to be successful, then we work back and probably 90% of what we do is fundamentally developed from those insights that the customer gives us. That's quite different. That really is a working back methodology. >> We run most of our business on AWS and it's true, so I remember we were in a meeting with Andy Jassy one time and he started asking us how we use the platform and what we like about it and don't like about it, and my business partner, John Furrier, he's kind of our CTO, he starts rattling off a number of things that he wanted to see, and Andy pulls out his pad and he starts writing it down, and he was asking questions back and forth, so I think I've seen that in action. One of the things that we've observed is that the adoption of cloud in EMEA and worldwide is pretty consistent and ubiquitous, there's not like a big gap, y'know, you used to see years later, y'know, Europe would maybe adopt a technology and you're seeing actually in many cases, you certainly see it with mobile, you're seeing greater advancements. GDPR, obviously, is a template for privacy, what are you seeing in Europe in terms of some of the major trends of cloud adoption? >> Yeah, I don't think we're seeing major differences, y'know, people talk a lot about, "well, Europe must be two years behind North America" in terms of adoption. We don't see that, I think it is slightly slower in some countries, but I don't think that's kind of common across the piste. So I'd say that the adoption, and if you think back to some customers that were very early adopters, just from an overall global cloud perspective, companies like Shell, for example, y'know they were really early adopters, and those were European-based companies, you could say they're global companies, absolutely, but a lot of what they did was developed in Europe. So I would say that there are countries that are slower to adopt, sometimes driven by the fact that, y'know, security is an issue, or was an issue, that data sovereignty was a bigger issue for some of these countries. But I think all of those are pretty much passed now, so I think we are very quickly kind of catching up with regards to the North American market. So, yeah. >> You mentioned your sort of startup mentality, you mentioned BP. Is it divisions within a large company like that that are startup-like? Is that what you're seeing in terms of the trends? >> No, I'm seeing three patterns. So I'm seeing a pattern which is, y'know, large organizations that go all-in very quickly, typically, y'know, strong leadership, clear vision, need to move quickly. >> Dave Vellante: We're going cloud? >> Yeah, we're going cloud, and we're going all in and that may be, like an NL would be a great example. So NL's a really good example of a top-down approach, very progressive CIO, very clear-thinking CEO that's driven adoption. So I'd say that's pattern one. For me, pattern two is where large organizations create an entity alongside, so almost a separate business. So probably Openbank is probably a good example, part of Santander. And now that organization has about one and a half million customers, obviously started in Spain, but they built a digital bank, clearly tapping into all of the data and customer sets within Santander, but building an experience which is fundamentally different. >> So a skunkworks that really grew and grew? >> Correct, absolutely, a skunkworks that grew, but grew quickly and now it's becoming y'know, a key part of their business. And then the third area, or the third pattern for me is very much a kind of a bottoms-up-led approach. So this is where the developers basically love the services that we have, they use the services, they typically put them on their credit card or AMEX, and then they'll go and use the services and create real value. That value is then seen and it snowballs. So those are kind of the three patterns. I'd say the only outlier to those three patterns is a startup organization, and as you know we've been hugely successful with startups, from, y'know, Pinterest, to Uber, to Careem, to all of these organizations and those organizations it's really important to influence them early on, to make sure that they are aware, and the developer community and the founders are aware of what we can do and we have a number of programs to really help them do that. And they start to use our services, and as those organizations are successful then our business grows alongside them and they, y'know, typically start to use a lot more of the services. >> One of the defining patterns of three, the bottoms-up and four, the start-ups, is they code infrastructure. And, y'know, sometimes the one, the top-down may not have the skillsets and the disciplines and the structure to do that. What are you seeing in terms of that whole programmable infrastructure, the skillsets, programmers essentially coding the infrastructure? Are you seeing CIOs come in and say, "Okay, we need to re-skill", are they bringing in new staff, kind of like number two, the Openbank example might be, y'know, some rockstars that they wanna sort of assign to the skunkwork. How is the number one category dealing with that in terms of their digital transformation? >> Yeah, so y'know, skills is something that is critically important, having the right skills in the right place at the right time. And if you think about Europe it's a big outsourced market, so a lot of those skills were outsourced typically to a lot of the outsourcing companies, as you'd expect. What you're seeing now is organizations, BP's a good example of this, where they're building the innovation capability back into their organizations to make sure that they can create the offerings and create the user experience and create the business models for the new world. And what we're doing is really trying to make sure that we're enabling those organizations to build the skills. So probably at a number of different levels, kind of, y'know, very basic level, or at a very junior level we're kind of influencing people in schools. So, y'know, we're going to be announcing, or announcing at the summit, Guess IT, which is basically a program to train up year eight students. So you start there, and basically you go all the way through to offering training and certification, we have a very big function associated with that to make sure that we're building the right skills for organizations to be successful, and also then working with partners, so all of those training and certification skills, we are working with the partners like the Cloudreaches of this world, but also the DXCs of this world, the Accentures of this world, the Atoses of this world, really to make sure that they have the right skills and capability, not only around our services but around the movement to cloud which is what these organizations need to do to help them innovate. >> And it sounds like your customers wanna learn how to fish, they see that as IP, in a sense, still work with partners, but help them transfer that knowledge and then, y'know, continue to innovate, raise the bars, as we like to say. >> Yes, yes. >> One of the biggest challenges that we see, we talk to customers all the time, is the data challenge. Particularly companies that have been around for a while, they have a lot of technical debt, the data's locked into these hardened silos, obviously I'm sure you see that as a challenge, maybe can you address that, how you're helping customers deal with that challenge and some of the other things that you see cloud addressing? >> Yeah, so y'know, we're really trying to help customers be successful in doing what they do in the timescale that they're setting themselves, and we're helping them be successful. I think from a data point of view, we have a lot of capability, so just to give you a perspective, so since I've been here that year and a half, we started with 125 services. That number of services has gone to 170-odd services now and the innovation that we have within those services has now reached, I think last year, just over the 1900 level so this is iterations on the product. In addition to that, we are continually building new offerings, so if you think about our database strategy, y'know, it's very much to create databases that customers can use in the right way at the right time to do the right job and that's just not one database, it's a number of different databases tuned for specific needs. So we have 14 databases, for example, which are really geared to make customers use the right database at the right time to achieve the right outcome, and we think that's really important, so that's helping people basically use their data in a different way. Obviously our S3, our core storage offering is critically important and hugely successful. We think that as-is, the bedrock for how people think about their data and then they expand and use data lakes, and then underpinning that is making sure that they've got the right databases to support and use that data effectively. >> At the start of this millennium there was like a few databases, databases was a boring marketplace and now it's exploded, as Inova says, dozens a minute it's actually amazing >> Yep >> how much innovation there is occurring in that space. What's your vision for AWS in EMEA? >> Yeah, so you know the overall Amazon vision is to be the world's most customer-obsessed organization, so y'know, here in EMEA, that holds true, so y'know, we start with the customer, we work back, and we wanna make sure that every single customer's happy with what we're doing. I think the second thing is making sure that we are bringing and enabling customers to be innovative. This is really important to us, and it's really important to the customers that we sell to, y'know, there's many insurgents kind of attacking historic business models, it's really important that we give all of the organizations the ability to use technology, whether they're a small company or a big company. And we call that the democratization of IT, we're making things available that were only available to big companies a while back. Now, we have made those services available to pretty much every single company, whether you're a startup in garage, y'know, to a large global organization. So that's really important that we bring and we continue to democratize IT to make it available for the masses, so that they can go out there and innovate and do what ultimately, customers wanna do, y'know, customers want people to innovate. Customers want a different experience. And it's important that we give organizations the tools and the wherewithal to go and do that. >> Well you've been in the industry long enough, and you've worked at product companies prior to this part of your career, and you know the innovation engine used to be Moore's Law. It used to be how fast can I take advantage of that curve, and that's totally changed now. You see a number of things happening, it's get rid of the heavy lifting, so you can focus on your business, that's what cloud does for you, but it's kind of this combination, the cocktail of data, plus machine intelligence, and then the cloud brings scale, it attracts innovative companies. How do you see, first of all do you buy that sort of new cocktail, and how do you see customers applying that innovation engine? >> Yeah, y'know, to answer the first bit first, we definitely see that cocktail. So y'know, the kind of undifferentiated work that was historically done to kind of build servers and make sure that they ran and all of those things, people don't need to do that now. We do that really really effectively. So they can really focus their time, attention, their money, their efforts, their innovation, on creating new experiences, new products, new offerings, for their customers. And they should also work back from customers themselves and work out what's really required. Every single business model, every single offering, needs to be questioned, by every single organization and I think that's what we do. We give the ability to organizations to really think differently about how they use what we have to do the really important things, the things that differentiate them and the things that ultimately give customers a different experience. And that's why I think we've seen so many very successful companies, y'know, from Airbnb, to Pinterest, to Uber. It's giving people a fundamentally different experience and that's what people want, so y'know, we're here to I think give people the ability to create those different experiences. >> Kind of amazing when you go back and you remember the book Does IT Matter? the Havard Business Review famous... It couldn't have been more wrong, at the same time it couldn't have been more right because it really underscored that IT was broken and that preceded 2006 introduction of EC2 and now technology matters more than ever before, every company's a technology company, y'know, you hear Marc Bennioff talk about software's eating the world, it's so true, and so as companies become technology companies, what's your advice to them? I mean obviously you gotta say, "Let us handle the heavy lifting," but what do they have to do to succeed in their digital transformation in your view? >> Yeah, I think it's about changing the mindset and changing the culture of organizations. So I think you can try and instill new processes and new tools on an organization but fundamentally you've gotta change the culture and I think we have to create and enable cultures to be created that are innovative and that requires, I think, a very different mindset. That requires a mindset which is about, "we don't mind if you fail". Y'know, and we'll applaud failure. We in Amazon have had many failures but it's applauded, and if it's applauded, people try again so they'll dust themselves off and they'll move on. You can see this in Israel which is, y'know, very much a startup nation. You can see people start a business, they might fail. Next day, they start a new one. So I think it's having this culture of innovation that allows people to experiment. Experimentation's good, but it's also prone to failure. But, y'know, out of 10 experiments you're gonna get one that's successful. That one could be the make or break for your organization to move forward, and give customers what they actually need, so, y'know, super important. >> Break things, move fast, right? >> Exactly. >> I love it. All right, what should we expect tomorrow at the London summit? We gotta big crowd coming, it's at the ExCeL Center >> Yeah, I think you'll see us continue to innovate, I think you'll see a lot of people, and I think you'll see a lot of customers talk about their experience and share their experience, y'know, these are learning summits, y'know, they're not kind of show and tell, they're very much about explaining what other customers are doing, how people can use the innovation and you'll see lots of experiences from different customers that people will be able to take away and learn from and go back to their offices and do similar things, but probably in a different way. So, y'know there'll be lots of exciting announcements, as you saw from re:Invent, we continue to innovate at a fair clip, as I said, 1950-odd innovations, y'know, significant releases last year, so not surprisingly you'll see a few of those. >> These summits are like mini re:Invents, aren't they? And as you said, Andy, very customer-focused, customer-centric; a lot of customer content. So, Andy Isherwood, thanks so much for coming on theCUBE, it was really great to have you. >> Great >> All right. >> Thank you >> You're welcome Keep it right there everybody, we'll be back with our next guest right after this short break. This is Dave Vellente, you're watching theCUBE.
SUMMARY :
to your headquarters there and interview Dave, great to be here, and need to do, which makes it important. I think we listen intently to what they need, and he started asking us how we use the platform So I'd say that the adoption, and if you think back Is that what you're seeing in terms of the trends? So I'm seeing a pattern which is, y'know, and that may be, like an NL would be a great example. I'd say the only outlier to those three patterns and the structure to do that. but around the movement to cloud which is what as we like to say. and some of the other things that you see cloud addressing? and the innovation that we have within those services What's your vision for AWS in EMEA? and it's really important to the customers that we sell to, and you know the innovation engine used to be Moore's Law. and that's what people want, so y'know, and you remember the book Does IT Matter? and I think we have to create and enable cultures We gotta big crowd coming, it's at the ExCeL Center and learn from and go back to their offices And as you said, Andy, very customer-focused, This is Dave Vellente, you're watching theCUBE.
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Kickoff | On the Ground at AWS UK 2019
>> Hello, everyone. This is a special presentation of the Cube. We're here in London at eight of us, one of eight of US locations in London. My name is Dave Volante and the Q We go, we'd like to go out to the events. We extract a signal from the noise and we've been following the ascendancy of a ws public sector from its early days. If you go back to two thousand thirteen, there was a significant moment in the history of eight of us where it won CIA contract a very large contract. CIA. It was contested by idea. My bm was used to kind of the what sometimes called the old guard the legacy companies used to selling into the government big, big contracts. And here comes this start up essentially eight of us taking away government business with CIA no less huge, huge contract. Well, IBM contested it. Judge Wheeler ruled against IBM for eight of us. And when reading that ruling, it was clear that the eight of US platform was superior to the IBM platform. He laid out the essentially the components of the R F P and the line by line and showed that a ws was the winner and virtually all of the line items. I think there was parody and won the reason why that was so important. It was that there were several factors there. One, It was a major milestone event. No, only Frito. Eight of us. But for cloud in general, if you think about security Ah, CIA, obviously very security conscious. It was the recognition that cloud actually could be more secure than on premises infrastructure. So the government was actually one of the first to kind of realise that and lean into that as a side effect, IBM had to go out and spend two billion dollars on soft layer toe actually compete in the cloud market Plys. So you had all these ripple effects Fast forward today to two thousand nineteen. You have the jet icon to contract a joint enterprise defense initiative. It's a ten billion dollar contract. A ws is in the lead for that contract. Oracle again another old Guard company has contested. And when you look through when when a company contests these bids, a whole lot of public information comes out. What? What the information suggested was that a single cloud the D o d determine that a single cloud was more secure, less complex and more cost effective. And so Oracle contested the the likelihood of an award to a single company because government contracts usually are awarded to multiple vendors. But in this case, because it's so critical tohave the data in one place so that they can serve the field better and responded the field better, the D o. D decided to use a single cloud. So oracles, you know, throwing off all rights of muck into the ring. Ah, basically asking the General Accountability Office to look at it. They did, Ggo said. If we're going to go with the D. O. D s decision, the D. O. D itself did an internal investigation. Now it's narrowed down to two vendors eight of us and Microsoft, and we believe that eight of us is the leading contender. Why is that? It's because eight of us says the most services. It's the most advanced, the highest levels of security and certifications within the government that are necessary to win these types of contracts. Why don't I spend so much time on these things? There's a two milestone events, the CIA contract in two thousand thirteen and what will soon to be the Jet I contract in two thousand nineteen. And what we're seeing is Amazon Web services, a thirty billion dollars run rate company growing at forty plus percent per annum. It's just a massive flywheel effect that we always talk about on the Cube. So we're here in London because we wanted to see how the public sector activities of Amazon are translating into the European markets. So we're here at a special public sector mini summit, if you will. There's a healthcare predate going on. This is ahead of the eight of US London summit, and we're siphoning off a number of the practitioners in and and startups software companies. Eight of US partners in the health care industry, as well as a WS executives particularly focused on the public sector today. So we're doing this sort of. We followed the career of Teresa Carlson for a number of years, seen the ascendancy of a ws public sector. We've covered ah, public sector summit in D. C. We flew to Bahrain last year. John Fairy of my business partner did the Bahrain summit. Bahrain was the first country in the Middle East to declare cloud first. So ah, critical location in the Middle East and you're seeing it now. Europe across a number of industries, obviously n hs than Ethan's. National Health Service is a very prominent in in the UK in a in a big consumer of services all kinds of startups and other software companies trying to sell and helped transform The N H s N hs has ah put forth a half a billion dollars nearly a half a billion dollar pound initiative on modernization. Ah, lot of that modernization is evolving the cloud. So the cube is here. We're trying to peel back the onion, understand what's going on here. Who were the winners? Who was going to get affected? Practitioners of startups, CEOs, nonprofit organizations, NGOs, executives from a ws and across the industry. So we'LL be here. We have three events this week in Ah in London here today at eight of US headquarters in London. Ah, tonight we have an impact investor event and then tomorrow we're at the eight of us Summit in AA in London at the XL Center. So keep it right here. Watch this channel. Check out silicon angle dot com For all the news, check out the cube dot net, which is where we host all these videos. And of course, we could bond downward for all the research. So thank you for watching and keep it right there. And you're watching the Cube this day, Volante.
SUMMARY :
This is ahead of the eight of US London summit, and we're siphoning
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Russell Warman, AutoTrader UK | Google Cloud Next 2019
>> fly from San Francisco. It's the Cube covering Google Club next nineteen, right Tio by Google Cloud and its ecosystem partners. >> Welcome back to San Francisco, everybody. You watching the Cube, the leader in live tech coverage. And we're here at the new improved Mosconi Center covering Google next twenty nineteen. I'm Dave along with my co hosts. Two minutes to get to see you. Russell Warming is here. He's the head of infrastructure at AutoTrader UK. Russell, Thanks for coming on the Cube. You very welcome. AUTOTRADER uk not to be confused with the U. S. Not a lot of you guys. They're separate cos >> yet completely separate. So way operate the largest automotive marketplace in the UK something like the sixteenth busiest website in the UK around fifty five million cross platform visits each month on average. Probably about five hundred thousand vehicles that were advertising out. Tio consumers >> are traitors. Awesome website If your eyes are second biggest purchase typically behind the home and and so Stew was asking you earlier if you if digital transformation meant anything to you and you said Well, we kind of went through a ten years ago yet, and it's kind of true You guys were like born in the Internet company would talk about >> that. So our heritage is that we've been around for forty forty years. We started producing magazines back in nineteen seventy seven. And then in ninety six, we would launched our first website on DH. We've basically just migrated those revenues from our print business online. And then about two thousand thirteen. We stop printing magazines all together. So we're truly digital business now, >> and people talk about digital transformation oftentimes in the context of data. So maybe talk about some of the things that you're doing in your business, some of the challenges that you face, where data fits in and we'Ll really get into it. >> Okay, so I'm we've got a couple of areas where we've been on premise for our data centers. Wave had that strategy for probably about fifteen years, and we've started to reach limits in terms of how we manage capacity within their on what we found is using cloud services as really enables so unlock capabilities, particularly around things like data on their. More recently, when we're thinking about using Cuban eaters and SDO, we've been able to take advantage of things like some of the security features, mutual tear less and service discovery. >> All right, so they also bring us inside your organization a little bit. You're head of infrastructure? Yeah. What does that mean to your business today? >> So way basically run the platform that runs auto trader dot co dot uk on were responsible for making sure that's available twenty four seven three six five So way. Want to make sure that we're able to give our internal customers the ability to release new applications new features as quickly as they want, but also that we're ensuring that our consumers are retailers get a great experience that it's fast performance secure. >> Yeah, and it could give us tease out a little bit, just kind of the scope, how many people you have and how do you balance the stuff that kind of is under your purview and the stuff that you manage that is outside of your four walls. >> So there's about twenty five people within the team. There's probably about ten people building the infrastructure and about fifteen people that are responsible for monitor in it. So we're not a big organization in terms of operations in infrastructure on. We have to work very closely with our product squads because we manage some elements of it. But we're dependent on them managing other elements as well. So we're trying to unlock platform capabilities so that we've got consistency that we're trying to provide those those capabilities rather than going off on finding something else. >> You've got infrastructure on Prem and you've got infrastructure in the cloud to cloud services, right? Yes. So oftentimes those aren't the same. But talk about your situation and you're on a journey, I presume. >> Way started about forty months ago, building out our cloud services on DH. Probably in the last four months, we've really started accelerating that that migration plan of applications moving it up into into Google Cloud on DH. Our ambition is to get that done in eighteen months because the complexity of managing multiple environments is something that we want to try and avoid. Minimize that. >> So is the aspiration to go all in >> waiting absolutely way. We've taken a view that for services that we can we'll take money services and then everything else will be cloud first >> believe I heard you say Cooper Netease is in the mix now. Can you explain where that fits? How you're using it? >> So that see, that's the platform that we're using. Teo. Build out all our applications in the clouds so that that's that's That's a lot of important >> air using any communities in your data center today? No, not all from a cloud. That's the platform layer that using the >> public? Absolutely so when we talked about should we use Cuban? It is way did discussed. Should we do it on Prem or do it in the cloud? And we just figured that we didn't want the overhead of managing it ourselves on prime, we thought it be better just to take it as a service almost and manage up in the cloud. >> Most of the shows we go too many of them, anyway. It's too, and I and the Cube they talk about multi cloud, and we often say multi cloud as a function of multi vendor. But certainly way heard today from Google. A multi cloud. What's your cloud strategy? Because there there's another camp that says, Well, if you do, multi cloud is more complex, it's less secure, it's more expensive. Are you trying to be kind of unit cloud or is that horses for courses? >> So we're three clouds today. So our data platforms, it's partly in G C P. But then partly in another cloud provider on then we're also for our enterprise applications were using another cloud provided because it makes sense to do so. So we want to use the right cloud for the right applications. I think that most of our customer facing applications will end up in G C. P. But some of the back end services my end up in of the cloud provide us >> Okay, so it's strategic fit based on the application? Absolutely. So what is the wheelhouse of of of? Of Google, in your view, from a customer's perspective. >> Um, so the fact that Cuban eighties was developed by Google is a really strong play there. It gives you confidence that they know Teo to look after it. Things like SDO have made a massive difference to our organization as well. We part of the reason why we've ended up using GDP was based on using SDO, and that was around solving a specific problem that we had so that those of the sort to to solve areas that we focused on. >> Just when you look at you know, you've got that hybrid, multi cloud environment that we find is pretty much the standard today. Can you speak a little bit of the management layer? How you look at that, you know, Is it good enough today? And what what? What could the industry do to make it even better? >> It's good enough for our needs. I think that the challenge that you've always got is data ingress and egress between between clouds as you want to move data or query data, making sure that you could do that in a secure way. That's probably the biggest challenge that you'd have on also around the cost of doing so. Those you know, those are probably the bigger challenges >> in the challenges. The cost in time of moving data is its security or the above. Maybe you could dig into that little bit. >> It's probably a little bit of all the above. If I'm honest, I think you could do so much to security plight. Private VP ends Between Between the cloud providers It's I guess that's the time and actually moving some of that data between the clouds is that there's a challenge, and then they cost. Like I say, it's difficult to predict how much it might cost you two to move some of that >> big challenges and from a business perspective that a driving your technology strategy, obviously you want consumers coming to your site. You want to make that as rich as possible for them. You've gotta monetization strategy as well. But you talk a little bit about the business drivers that are affecting your technology. >> Okay, so consumer demand is constantly changing. Technology is massively disrupting how people think about search for cars. We can see that there's a demanding in the in the marketplace for people just to be ableto choose it, choose a car on DH, have that customizing delivered. They want tohave complexity around how they look for finance on their cars. They want all that sort of taken away. They don't wanna have to turn up tio a car showroom and then go through the same conversation that live with salesperson that they've just gone through online. They want that journey to be seamless, so there's some challenges that the industry facing trying to do that where we're trying to help our retailers, providing those services that customers want. So to be able to understand what the part ex valuation is on their car before they turned up to the dealership and know that it's going to get honored because they've got to trust in it so they can understand what, what making spend on a monthly faith on what cars are available. So we're trying to change what we provide to our consumers on also to support our retailers. Manage that changes well, >> Russell thinks a really great point. You make way. No many industries, and especially your industry, is changing really fast. So what are those stresses and strains mean to the infrastructure team in Oak and maybe talk a little bit about the relationship of kind of business? Tow it how that's changed in the last few years. >> So probably over the last ten years, it has always been seen as the sort of the blocker in terms of making sure that new products and features become become available quickly on our role is really to make sure that we're providing the infrastructure at the right time for people so that they can basically just dial it in when they need it. So if they want to release a new application, they don't need to come and speak to somebody in ops to stop provisional server. They just create a pipeline, deploy their application and then the service provisioned at the same time. On we do things like checking for a Wasp Bonham abilities at the same time and making sure that the application and the infrastructure is working hand in hand. So we've taken a lot of that dependency away from people, sort of with handoff points and everything. >> You're a business that has obviously transformed over the years. I think you said you started in the sixties seventies seventies is a publisher basically, paper printing presses and the like. Nineteen ninety six is when you went online. Is that right? So that early days pretty much of the Internet. So the heart, uh, and so you've proven that you could transform forward thinking. I'm wondering what the conversation might be like inside the company about things like autonomous vehicles. Is there a day that comes where owning your own vehicle is the exception rather than the norm? What implications that might have for your business. It's very hard to predict, obviously, But are you having those kind of conversations? You have other lines of business that you're launching toe >> say you're absolutely right. Those those things are area of concern on wave people, constantly looking at new and emerging changes in threats across the whole industry. On DH, they are absolutely looking at how that might impact our business. What we're actually seeing, though, through research that we've done is people still aspire to own car. So car ownership is still something that people want to want to look at with regards to the second part of your question. We are ultimately focus, that is, that's where we are. We don't operate outside of the UK and Ireland. We absolutely focus on our core on making sure that the services that we offer around that really support our customers need, whether that be consumer or retailer. >> Well, it's interesting that the auto industry really has it been wildly disrupted. I mean, you certainly see Tesla and people talk about autonomous vehicles, but still, the big car makers, they're still doing quite well. They dominate the market so and so it's going to take some time, you know, and there's some skeptics out there, but it's very interesting to see how you guys evolve, what other opportunities you go after. I want to ask you. So Google next is coming to tow London in November. How important is it for you? As somebody is based in the UK tohave, Google have local events like that? I mean obviously a traveling a far distance to come to this event. How important is that to you as a customer? >> It's important for us to be able Teo, get more people involved in the conversation. There's obviously a cost on time effort in terms of coming out tio something here. But it's in The scale of this is enormous in comparison to what we see in the UK, but it just means that having that presence in the U. K. Means that we can just get more of our engineers in front of the right people tohave a better conversation, understand more about what's coming and how we might be able to use that within our business >> things that so you just sort of near early on in your cloud journey. But knowing what you know, and you get it early on, I think you might do differently if you had a mulligan, you want to do over again our advice you give to your colleagues and piers. >> So I think the big thing that we found is modest modernizing applications Before you start moving them into the cloud, I think there is a tendency, Probably way we're in the in the cloud, probably about nine years ten years ago and we bought those workloads back on prime. And the reason why we did that is because we didn't treat them differently way manage those instances in the same way that we managed on prime, which is completely do a wrong way to do it, in my opinion. So we needed to change our mind set in terms of how we manage the infrastructure. You need to make sure that you re architect your applications, that you are taking advantage off the features and functionalities things like auto scaling, that you plan for failure. All those things that you typically control on Prem. You have to think about differently in the clouds. >> We will talk about this a lots to changing, the operator >> said that the long pole in the tent is, you know, modernized those applications. Any change? Migrations is really tough. So but do you have a time for him? How long would take you to get to that? All in that you're planning on >> eighteen months, Cesar, that's >> not just a lift, Did Shift >> S O. That is a modernization. But the approach that we've taken and is to try and give the people the confidence and courage really to go at it is we've picked ofsome easier applications. So this journey about being cloud native, we started six or seven years ago, and we've started getting people building their applications on our private cloud. And those ones have been really easy to move on to the public cloud and some of the applications that I've been a little bit trickier that I've been on our short traditional virtual ization platform. We're trying to pick those off in parallel, so you do one that's really easier one that's a bit harder. So you give people confidence and then you're trying to solve some tricky problems alongside it, and I think that just incrementally gives you more confidence that you're moving in the right direction. >> Right straight. Just like skiing on the then the blacks. And they go into the greens and they're making your moves. >> Just just a little bit. A little bit harder each time you got it, but yeah. >> Russell, thanks so much for coming in. The queue was great. Thank you very much. Okay. Thank you for watching. We'll be right back from Google next in San Francisco.
SUMMARY :
It's the Cube covering Russell, Thanks for coming on the Cube. something like the sixteenth busiest website in the UK around fifty five million to you and you said Well, we kind of went through a ten years ago yet, and it's kind of true You guys were like born So our heritage is that we've been around for forty forty years. So maybe talk about some of the things that you're doing in your business, some of the challenges that you face, Wave had that strategy for probably about fifteen years, What does that mean to your business today? Want to make sure that we're able to give our internal customers the ability Yeah, and it could give us tease out a little bit, just kind of the scope, how many people you have and how do you balance the So we're trying to unlock platform capabilities so that we've So oftentimes those aren't the same. complexity of managing multiple environments is something that we want to try and avoid. services that we can we'll take money services and then everything else will be cloud first believe I heard you say Cooper Netease is in the mix now. So that see, that's the platform that we're using. That's the platform on prime, we thought it be better just to take it as a service almost and manage up in the cloud. Most of the shows we go too many of them, anyway. P. But some of the back end services my end up in of the cloud provide us Okay, so it's strategic fit based on the application? that those of the sort to to solve areas that we focused on. What could the industry do to make it even better? making sure that you could do that in a secure way. in the challenges. Like I say, it's difficult to predict how much it might cost you two to move some But you talk a little bit about the business drivers that are affecting your So to be able to understand what Tow it how that's changed in the last few years. and making sure that the application and the infrastructure is working So that early days pretty much of the Internet. We absolutely focus on our core on making sure that the How important is that to you as a customer? but it just means that having that presence in the U. K. Means that we can just get more of our engineers in front you want to do over again our advice you give to your colleagues and piers. You need to make sure that you re architect your applications, said that the long pole in the tent is, you know, modernized those applications. the people the confidence and courage really to go at it is we've picked ofsome easier applications. Just like skiing on the then the blacks. A little bit harder each time you got it, Thank you very much.
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Mike Conjoice, Bupa UK | VeeamON 2018
>> Announcer: It's theCUBE, covering VeeamOn 2018, brought to you by Veeam. >> Welcome back to VeeamOn 2018 everybody, you're watching 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, and I'm with my cohost, Stu Miniman. Mike Conjoice is here, he's a Solutions Architect at Bupa Dental. Mike, over from the pond? >> Yeah absolutely. >> Over the pond rather, to America, welcome, from Bristol, England, great to have you on theCUBE, thank you. >> Thanks very much. >> Bupa Dental. Tell us about this 90,000 person organization. >> Yeah, so, Bupa's a global organization. They're primarily known for their health care insurance. Bupa Dental is a market unit that provides dental, NHS and private. So we're one of the largest private providers in the UK. We've got around 460 practices at the moment across the UK and Ireland. Bupa itself, 90,000 staff, 8,000 of that is dental. So that's clinicians and support staff. Were acquiring new practices, about three practices a week. >> Massive scale. >> Mike: Absolutely, it's huge. >> I've got to ask you, before we get into it. So health care, in England, NHS, you mentioned NHS and private. A lot of us in the United States, you know, have I think misconceptions, but what's your take on the quality of healthcare in England and the UK? A lot of people I talk to love it, they say it's really high quality. What's your take? >> It's certainly a different way of doing things, but then, it's a good model I feel. 'cause we all pay in, everyone can get that healthcare they need, they don't have to worry about being ill. You know, being ill shouldn't bankrupt you. So we do the NHS and private side of things. It's usually a lot of the same clinicians that run those models, but private we tend to cut the line a lot quicker, things like that. You're paying for the speed of the access to the clinicians, things like that. >> Okay, so but it's a hybrid model, so if you can afford it, then you can complement it, and it allows you to accelerate things. >> Mike: Absolutely. >> Okay, so there's still that level of quality that you can pay for, >> Yes, it's tiered >> But everybody's got healthcare, a hundred percent of the citizens are covered. >> Mike: Yeah. >> Mike, what's the kind of the stresses and the changes happening in healthcare, regulation like that impact from the technology sector? >> So at the moment, GDPR is obviously the big buzzword, I'm sure it's not the first time you've heard that this week. >> It's May 2018 >> We've got a countdown going. So a lot of our data is patient data, so it's critical healthcare data. So we're very lucky in Bupa to have a large information governance team that can manage a lot of the compliance and regulatory factors for us. So we need to be very aware of what we're doing with that data. We have the GDPR compliance side of things, where you've got the right to forget in an organization, but also the healthcare side of things can overrule that, that we are obliged to keep records for you know, certain amounts of time, depending on ages and things like that. >> And what kind of solutions are you architecting? >> So we, as I said, we acquire heavily, we acquire about two to three practices a week. So we are growing, so everything we look at is scale, not where we are now, but where we're going to be. You know, we've got plans to be at a thousand practices in no time at all. So a lot of the legacy frameworks that we follow, a lot of the legacy operational models we went with, they worked, but they don't scale well. So we need to put things so automation and intelligence, like Danny's been talking about in the keynote. It's things we really need to look at. We've started leveraging our data a lot more. So we pull back a lot of this data, we've got so much data, but we weren't really doing a lot with it. We've started running a lot of business intelligence, you know MIS data across that, to kind of learn how our patients use, I mean nobody likes going to the dentist, it's not a luxury treat that people go for. So trying to make that journey easier for the patients is kind of our end goal. We want to make it as painless as possible, apart from the dental bit. From making an appointment to kind of feeding back afterwards, and keeping that loop going, it's not just a one time end to end project. >> Yeah, so that whole experience. Take us inside the pieces that your patients don't see. Paint a picture of your infrastructure, I mean, what's there, what does it look like, and ultimately what applications are you supporting, you know, the top ones. >> Yeah, so dental practice management software isn't as advanced as probably as most people would think. Each practice has got a virtualization host in each. So we've got 500 service, remote branches on an MPLS link, so they're all coming back to a central data center where we keep all our offsite backups. >> Those are 500 physical servers? >> Yes, they're running Hyper-V, so they've got... They're quite low capacity, so there might be one or two VMs on each one. So although the scale is huge, the kind of the density is quite minimal. So we're bringing all that back across MPLS links that we're still not in an amazing place with network links in the UK, so some of our practices, they're not the best links, they're slow. Bringing back a lot of that data every night can be, you know, a massive issue, especially with the legacy software we were using previously. We need an offsite copy, we can't just cope with a local copy. We've had issues where practices have failed, practices have flooded, and without an offsite copy, you know, that backup drive floating in the water (mumbles) >> How does that local copy get made? That's done in an automated way from your remote location >> Yeah, so... >> It's not some gal at the desk doing the backup >> No, no, no >> like it used to be. >> Each practice has got like a USB or a NAS, depending on the size of the practice, and so we centrally manage that through the Veeam console in our data center. So each practice has a local backup job, to that storage every night, and then a backup copy job to our offsite data center to keep two copies of the data. >> And the office is closed, right, so it's not like you're dealing with high volume transactions that you're having to capture. I mean you've got a long enough window to get the stuff offsite, is that true? >> Yeah, so our bottleneck is always network, it's never source or target, it's always network. You know, some of our links we might get 200K uploads, so, if you're transferring a few gig of data it's never good. A lot of our data is digital imaging as well, which is really taking off. So you know you used to go and get an x-ray, now it's all 3D models of a scan of your mouth. So those files are... >> A lot of data. >> Yeah, absolutely. >> Well we've done Cube gigs in the UK, so we know, sometimes those pipes are pretty small. >> Absolutely. >> Okay, so in the primary applications that you're supporting is this dental, this what you folks offer >> Yeah, so we've got, there's a couple of big players in the practice management software space, so we're kind of a split across those. They are moving towards private cloud software, but it's a slow process. These are the same softwares that you find in a single-person dental practice to these massive scales that we've got, so there's... They're very well known across the industry. So change is quite hard for them. >> So you're a Microsoft shop. Who's your server vendor? >> Dell. >> So you've got Dell servers, and Dell storage as well? >> Yes, so we've got Dell storage in the core. Just equal, equal logic. >> But Veeam is your primary data protection right? >> Yeah, absolutely. >> And how long have you had Veeam in there? >> Probably two and a half years now. >> Okay, great, so let's go back to three years ago. >> The good times. >> What was life like then, and why did you bring in Veeam, and what change, take us through that whole case. >> So, like I said, we're highly acquisitive. So that came with a certain cadence and expectation. So we basically got what was given to us when we bought the practice. There was a lot of legacy backup providers, you know, all the classic ones. All over the place, no standardization of what was set up, what was backing up, the reporting. There was no central pane of glass to manage that. So it was taking a lot of engineer time to check those backups. So the infrastructure team that look after that, they were having to dedicate possibly two engineers a day just to check backups, which was an absolute nightmare. It's expensive as well, you know, they're not cheap guys to hire, so you just, you're getting them to do manual admin work. So we needed a change obviously, especially with the expectations of growth. I'd worked with Veeam previously as an MSV, so I knew the product, I knew how it worked. I kind of put it forward, I think it would be the best idea for us to go with it. So we kind of went through a partner, to kick off the initiation, and straightaway they said this is a big project, you want to get Veeam directly involved. So we had a lot of help from Veeam, the SEs, the sales guys. Everyone we wanted, we had access to, just because of the size of it. And it was something Veeam hadn't really done before, the whole remote office, the whole remote office scheme, because of the licensing, it can work out expensive per socket. So they were quite interested in it as well. That was our primary driver was kind of centralizing all that management and the reporting, and just freeing up time, just was the main... >> So did you, was it sort of a wholesale, we're doing Veeam, we're going all in? Across 500 server platforms. >> It was a big blast of it at the start, so we had a lot of physical 2003 servers, so they needed to be replaced anyway, so that was perfect timing for that. >> Dave: How convenient. >> Yeah it was good timing. 2008 >> Sorry CFO, we got to do it. >> We were very lucky actually. Our finance team are very trusting of us. If we say this is the right solution, they kind of, well, if that's what it takes. >> They bite the bullet. >> Yeah, yeah. So we had probably about 200 in one go, well, in one go, over a period of a couple of months. >> Dave: In (mumbles) kind of >> It wasn't the slickest process, because we were learning at the time. The network bandwidth was a big issue. But now moving forward we're still replacing servers. Any kind of BAU replacements, we'll always go out with this Hyper-V Veeam model. Any new practice we bring on, Hyper-V Veeam. It's just, we've done a lot of power shell scripting on the background as well to... 'Cause if you think, we've got 500 hosts, that's a thousand jobs running. It's 500 local, 500 copy. It's a lot to keep track of, so... >> So Mike, the next acquisition, do you have to change the infrastructure, or can you drop Veeam in as a first before you rip out some of the gear? >> We do tend to rip and replace, just to kind of standardize it. So we keep a... We don't want to go to 350 practices and they're one model, and there's 10 at a different one. So we tend to rip and replace with our MPLS and the server, switching, just trying to keep it standard as possible for management. >> Hard work. I mean what was your result? >> Pretty good actually, yeah. >> What changed? How did you measure the success? Was it sort you saw it and... >> So, reporting before was done by an MSP that looked after us. Reporting was creative, shall we say. So were getting 98-100% successes of what they reported on. So they may have been backing up 20 files, that was working. >> They had their thumb on the scale. >> Absolutely. So we've got a lot more confidence in what we're backing up now, even if we, you know, get, which we never do, but even if 30% failures, I'd rather know about 30% actual failures than just be blissfully ignorant. It's saved a lot of the infrastructure team's time, you know, with the scripting and the reporting, we're pulling a lot into Power BI as well, so management can see those stats realtime. It's just, you know buzzword, it just works. >> That was an ad, it just works. So you save time, your staff save time. What happened, they got their weekends and nights back? You were able to not hire as many people, I presume you didn't fire anybody? >> Not that I know of, no. It's allowed them to concentrate on the work they should be doing, the project work, the forward thinking work. With that kind of block it was not allowing these guys to innovate and to see where to change. They were doing a lot of reactive work, whereas now they're fully proactive, they're kind of looking about, what's the next thing, how can we get ahead of the curve. >> Why Veeam, I know we've got to go, and you might want to jump in. But why Veeam relative to the other choices that you had? >> Well first of all it was my experience with Veeam. I've never had a bad experience dealing with them. Their support is absolutely flawless. Anyone I speak to, I always say, hopefully you never need them, but, their support guys are just out of this world. The help they'll give and what they'll, they'll go above and beyond, they'll help with things that aren't necessarily Veeam, just to get you up and running. >> Mike, the last question I had for you is, you've been expanding beyond just virtualization, you're using Hyper-V, it was big news when Veeam supported that. You're doing a lot with SAS these days, you're probably not too much in public cloud, but what do you see, what interests you, what might bring you beyond kind of the one product you're using today? >> So 365 is big for us, we're going to be pushing to 365 next year. So the Veeam backup for Office 365 is something we're definitely going to look at. We do leverage Azure very heavily for our development. So things like direct restore to Azure are good for us. We can spin up a practice straight in Azure if their physical area fails, things like that are a big boost to us. >> All right we got to go. Mike, are you going to the party tonight? >> Mike: Absolutely. >> Dave: You're fired up? >> Theme party, yeah. >> Right, thanks so much for coming on theCUBE. >> Thank you from me. >> Actually, sorry, one last question. >> Okay. >> If you had 'em all again, what would you do over, differently? >> Probably nothing, really. >> Oh, that was easy. All right, well, thanks again for coming on theCUBE. >> Thank you. >> Keep right there, we're going to be back with our next guest right after this short break.
SUMMARY :
brought to you by Veeam. the signal from the noise. great to have you on theCUBE, thank you. Tell us about this 90,000 private providers in the UK. A lot of people I talk to love it, So we do the NHS and and it allows you to accelerate things. a hundred percent of the So at the moment, GDPR is So a lot of our data is patient data, So a lot of the legacy Yeah, so that whole experience. So we've got 500 service, remote branches So although the scale is huge, and so we centrally manage And the office is closed, right, So you know you used so we know, sometimes those These are the same softwares that you find So you're a Microsoft shop. Dell storage in the core. go back to three years ago. and why did you bring in Veeam, So we basically got what was given to us So did you, was it sort of a wholesale, so they needed to be replaced anyway, Yeah it was good timing. If we say this is the right So we had probably about 200 in one go, It's a lot to keep track of, so... So we tend to rip and I mean what was your result? Was it sort you saw it and... So they may have been backing up 20 files, It's saved a lot of the So you save time, your staff save time. concentrate on the work other choices that you had? just to get you up and running. but what do you see, what interests you, So the Veeam backup for Office 365 Mike, are you going to the party tonight? for coming on theCUBE. Oh, that was easy. with our next guest right
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SiliconANGLE News | Red Hat Collaborates with Nvidia, Samsung and Arm on Efficient, Open Networks
(upbeat music) >> Hello, everyone; I'm John Furrier with SiliconANGLE NEWS and host of theCUBE, and welcome to our SiliconANGLE NEWS MWC NEWS UPDATE in Barcelona where MWC is the premier event for the cloud telecommunication industry, and in the news here is Red Hat, Red Hat announcing a collaboration with NVIDIA, Samsung and Arm on Efficient Open Networks. Red Hat announced updates across various fields including advanced 5G telecommunications cloud, industrial edge, artificial intelligence, and radio access networks, RAN, and Efficiency. Red Hat's enterprise Kubernetes platform, OpenShift, has added support for NVIDIA's converged accelerators and aerial SDK facilitating RAND deployments on industry standard service across hybrid and multicloud platforms. This composable infrastructure enables telecom firms to support heavier compute demands for edge computing, AI, private 5G, and more, and just also helps network operators adopt open architectures, allowing them to choose non-proprietary components from multiple suppliers. In addition to the NVIDIA collaboration, Red Hat is working with Samsung to offer a new vRAN solution for service providers to better manage their open RAN networks. They're also working with UK chip designer, Arm, to create new networking solutions for energy efficient Red Hat Open Source Kubernetes-based Efficient Power Level Exporter project, or Kepler, has been donated to the open Cloud Native Compute Foundation, allowing enterprise to better understand their cloud native workloads and power consumptions. Kepler can also help in the development of sustainable software by creating less power hungry applications. Again, Red Hat continuing to provide OpenSource, OpenRAN, and contributing an open source project to the CNCF, continuing to create innovation for developers, and, of course, Red Hat knows what, a lot about operating systems and the telco could be the next frontier. That's SiliconANGLE NEWS. I'm John Furrier; thanks for watching. (monotone music)
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Day 2 MWC Analyst Hot Takes  MWC Barcelona 2023
(soft music) >> Announcer: TheCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Welcome back to Spain, everybody. We're here at the Fira in MWC23. Is just an amazing day. This place is packed. They said 80,000 people. I think it might even be a few more walk-ins. I'm Dave Vellante, Lisa Martin is here, David Nicholson. But right now we have the Analyst Hot Takes with three friends of theCUBE. Chris Lewis is back again with me in the co-host seat. Zeus Kerravala, analyst extraordinaire. Great to see you, Z. and Sarbjeet SJ Johal. Good to see you again, theCUBE contributor. And that's my new name for him. He says that is his nickname. Guys, thanks for coming back on. We got the all male panel, sorry, but it is what it is. So Z, is this the first time you've been on it at MWC. Take aways from the show, Hot Takes. What are you seeing? Same wine, new bottle? >> In a lot of ways, yeah. I mean, I was talking to somebody this earlier that if you had come from like MWC five years ago to this year, a lot of the themes are the same. Telco transformation, cloud. I mean, 5G is a little new. Sustainability is certainly a newer theme here. But I think it highlights just the difficulty I think the telcos have in making this transformation. And I think, in some ways, I've been unfair to them in some degree 'cause I've picked on them in the past for not moving fast enough. These are, you know, I think these kind of big transformations almost take like a perfect storm of things that come together to happen, right? And so, in the past, we had technologies that maybe might have lowered opex, but they're hard to deploy. They're vertically integrated. We didn't have the software stacks. But it appears today that between the cloudification of, you know, going to cloud native, the software stacks, the APIs, the ecosystems, I think we're actually in a position to see this industry finally move forward. >> Yeah, and Chris, I mean, you have served this industry for a long time. And you know, when you, when you do that, you get briefed as an analyst, you actually realize, wow, there's a lot of really smart people here, and they're actually, they have challenges, they're working through it. So Zeus was saying he's been tough on the industry. You know, what do you think about how the telcos have evolved in the last five years? >> I think they've changed enormously. I think the problem we have is we're always looking for the great change, the big step change, and there is no big step change in a way. What telcos deliver to us as individuals, businesses, society, the connectivity piece, that's changed. We get better and better and more reliable connectivity. We're shunting a load more capacity through. What I think has really changed is their attitude to their suppliers, their attitude to their partners, and their attitude to the ecosystem in which they play. Understanding that connectivity is not the end game. Connectivity is part of the emerging end game where it will include storage, compute, connect, and analytics and everything else. So I think the realization that they are not playing their own game anymore, it's a much more open game. And some things they will continue to do, some things they'll stop doing. We've seen them withdraw from moving into adjacent markets as much as we used to see. So a lot of them in the past went off to try and do movies, media, and a lot went way way into business IT stuff. They've mainly pulled back from that, and they're focusing on, and let's face it, it's not just a 5G show. The fixed environment is unbelievably important. We saw that during the pandemic. Having that fixed broadband connection using wifi, combining with cellular. We love it. But the problem as an industry is that the users often don't even know the connectivity's there. They only know when it doesn't work, right? >> If it's not media and it's not business services, what is it? >> Well, in my view, it will be enabling third parties to deliver the services that will include media, that will include business services. So embedding the connectivity all the way into the application that gets delivered or embedding it so the quality mechanism deliver the gaming much more accurately or, I'm not a gamer, so I can't comment on that. But no, the video quality if you want to have a high quality video will come through better. >> And those cohorts will pay for that value? >> Somebody will pay somewhere along the line. >> Seems fuzzy to me. >> Me too. >> I do think it's use case dependent. Like you look at all the work Verizon did at the Super Bowl this year, that's a perfect case where they could have upsold. >> Explain that. I'm not familiar with it. >> So Verizon provided all the 5G in the Super Bowl. They provided a lot of, they provided private connectivity for the coaches to talk to the sidelines. And that's a mission critical application, right? In the NFL, if one side can't talk, the other side gets shut down. You can't communicate with the quarterback or the coaches. There's a lot of risk at that. So, but you know, there's a case there, though, I think where they could have even made that fan facing. Right? And if you're paying 2000 bucks to go to a game, would you pay 50 bucks more to have a higher tier of bandwidth so you can post things on social? People that go there, they want people to know they were there. >> Every football game you go to, you can't use your cell. >> Analyst: Yeah, I know, right? >> All right, let's talk about developers because we saw the eight APIs come out. I think ISVs are going to be a big part of this. But it's like Dee Arthur said. Hey, eight's better than zero, I guess. Okay, so, but so the innovation is going to come from ISVs and developers, but what are your hot takes from this show and now day two, we're a day and a half in, almost two days in. >> Yeah, yeah. There's a thing that we have talked, I mentioned many times is skills gravity, right? Skills have gravity, and also, to outcompete, you have to also educate. That's another theme actually of my talks is, or my research is that to puts your technology out there to the practitioners, you have to educate them. And that's the only way to democratize your technology. What telcos have been doing is they have been stuck to the proprietary software and proprietary hardware for too long, from Nokia's of the world and other vendors like that. So now with the open sourcing of some of the components and a few others, right? And they're open source space and antenna, you know? Antennas are becoming software now. So with the invent of these things, which is open source, it helps us democratize that to the other sort of skirts of the practitioners, if you will. And that will bring in more applications first into the IOT space, and then maybe into the core sort of California, if you will. >> So what does a telco developer look like? I mean, all the blockchain developers and crypto developers are moving into generative AI, right? So maybe those worlds come together. >> You'd like to think though that the developers would understand everything's network centric today. So you'd like to think they'd understand that how the network responds, you know, you'd take a simple app like Zoom or something. If it notices the bandwidth changes, it should knock down the resolution. If it goes up it, then you can add different features and things and you can make apps a lot smarter that way. >> Well, G2 was saying today that they did a deal with Mercedes, you know this probably better than I do, where they're going to embed WebEx in the car. And if you're driving, it'll shut off the camera. >> Of course. >> I'm like, okay. >> I'll give you a better example though. >> But that's my point. Like, isn't there more that we can do? >> You noticed down on the SKT stand the little helicopter. That's a vertical lift helicopter. So it's an electric vertical lift helicopter. Just think of that for a second. And then think of the connectivity to control that, to securely control that. And then I was recently at an event with Zeus actually where we saw an air traffic control system where there was no people manning the tower. It was managed by someone remotely with all the cameras around them. So managing all of those different elements, we call it IOT, but actually it's way more than what we thought of as IOT. All those components connecting, communicating securely and safely. 'Cause I don't want that helicopter to come down on my head, do you? (men laugh) >> Especially if you're in there. (men laugh) >> Okay, so you mentioned sustainability. Everybody's talking about power. I don't know if you guys have a lot of experience around TCO, but I'm trying to get to, well, is this just because energy costs are so high, and then when the energy becomes cheap again, nobody's going to pay any attention to it? Or is this the real deal? >> So one of the issues around the, if we want to experience all that connectivity locally or that helicopter wants to have that connectivity, we have to ultimately build denser, more reliable networks. So there's a CapEx, we're going to put more base stations in place. We need more fiber in the ground to support them. Therefore, the energy consumption will go up. So we need to be more efficient in the use of energy. Simple as that. >> How much of the operating expense is energy? Like what percent of it? Is it 10%? Is it 20%? Is it, does anybody know? >> It depends who you ask and it depends on the- >> I can't get an answer to that. I mean, in the enterprise- >> Analyst: The data centers? >> Yeah, the data centers. >> We have the numbers. I think 10 to 15%. >> It's 10 to 12%, something like that. Is it much higher? >> I've got feeling it's 30%. >> Okay, so if it's 30%, that's pretty good. >> I do think we have to get better at understanding how to measure too. You know, like I was talking with John Davidson at Sysco about this that every rev of silicon they come out with uses more power, but it's a lot more dense. So at the surface, you go, well, that's using a lot more power. But you can consolidate 10 switches down to two switches. >> Well, Intel was on early and talking about how they can intelligently control the cores. >> But it's based off workload, right? That's the thing. So what are you running over it? You know, and so, I don't think our industry measures that very well. I think we look at things kind of boxed by box versus look at total consumption. >> Well, somebody else in theCUBE was saying they go full throttle. That the networks just say just full throttle everything. And that obviously has to change from the power consumption standpoint. >> Obviously sustainability and sensory or sensors from IOT side, they go hand in hand. Just simple examples like, you know, lights in the restrooms, like in public areas. Somebody goes in there and just only then turns. The same concept is being applied to servers and compute and storage and every aspects and to networks as well. >> Cell tower. >> Yeah. >> Cut 'em off, right? >> Like the serverless telco? (crosstalk) >> Cell towers. >> Well, no, I'm saying, right, but like serverless, you're not paying for the compute when you're not using it, you know? >> It is serverless from the economics point of view. Yes, it's like that, you know? It goes to the lowest level almost like sleep on our laptops, sleep level when you need more power, more compute. >> I mean, some of that stuff's been in networking equipment for a long time, it just never really got turned on. >> I want to ask you about private networks. You wrote a piece, Athenet was acquired by HPE right after Dell announced a relationship with Athenet, which was kind of, that was kind of funny. And so a good move, good judo move by by HP. I asked Dell about it, and they said, look, we're open. They said the right things. We'll see, but I think it's up to HP. >> Well, and the network inside Dell is. >> Yeah, okay, so. Okay, cool. So, but you said something in that article you wrote on Silicon Angle that a lot of people feel like P5G is going to basically replace wireless or cannibalize wireless. You said you didn't agree with that. Explain why? >> Analyst: Wifi. >> Wifi, sorry, I said wireless. >> No, that's, I mean that's ridiculous. Pat Gelsinger said that in his last VMware, which I thought was completely irresponsible. >> That it was going to cannibalize? >> Cannibalize wifi globally is what he said, right? Now he had Verizon on stage with him, so. >> Analyst: Wifi's too inexpensive and flexible. >> Wifi's cheap- >> Analyst: It's going to embed really well. Embedded in that. >> It's reached near ubiquity. It's unlicensed. So a lot of businesses don't want to manage their own spectrum, right? And it's great for this, right? >> Analyst: It does the job. >> For casual connectivity. >> Not today. >> Well, it does for the most part. Right now- >> For the most part. But never at these events. >> If it's engineered correctly, it will. Right? Where you need private 5G is when reliability is an absolute must. So, Chris, you and I visited the Port of Rotterdam, right? So they're putting 5G, private 5G there, but there's metal containers everywhere, right? And that's going to disrupt it. And so there are certain use cases where it makes sense. >> I've been in your basement, and you got some pretty intense equipment in there. You have private 5G in there. >> But for carpeted offices, it does not make sense to bring private. The economics don't make any sense. And you know, it runs hot. >> So where's it going to be used? Give us some examples of where we should be looking for. >> The early ones are obviously in mining, and you say in ports, in airports. It broadens cities because you've got so many moving parts in there, and always think about it, very expensive moving parts. The cranes in the port are normally expensive piece of kits. You're moving that, all that logistics around. So managing that over a distance where the wifi won't work over the distance. And in mining, we're going to see enormous expensive trucks moving around trying to- >> I think a great new use case though, so the Cleveland Browns actually the first NFL team to use it for facial recognition to enter the stadium. So instead of having to even pull your phone out, it says, hey Dave Vellante. You've got four tickets, can we check you all in? And you just walk through. You could apply that to airports. You could do put that in a hotel. You could walk up and check in. >> Analyst: Retail. >> Yeah, retail. And so I think video, realtime video analytics, I think it's a perfect use case for that. >> But you don't need 5G to do that. You could do that through another mechanism, couldn't you? >> You could do wire depending on how mobile you want to do it. Like in a stadium, you're pulling those things in and out all the time. You're moving 'em around and things, so. >> Yeah, but you're coming in at a static point. >> I'll take the contrary view here. >> See, we can't even agree on that. (men laugh) >> Yeah, I love it. Let's go. >> I believe the reliability of connection is very important, right? And the moving parts. What are the moving parts in wifi? We have the NIC card, you know, the wifi card in these suckers, right? In a machine, you know? They're bigger in size, and the radios for 5G are smaller in size. So neutralization is important part of the whole sort of progress to future, right? >> I think 5G costs as well. Yes, cost as well. But cost, we know that it goes down with time, right? We're already talking about 60, and the 5G stuff will be good. >> Actually, sorry, so one of the big boom areas at the moment is 4G LTE because the component price has come down so much, so it is affordable, you can afford to bring it all together. People don't, because we're still on 5G, if 5G standalone everywhere, you're not going to get a consistent service. So those components are unbelievably important. The skillsets of the people doing integration to bring them all together, unbelievably important. And the business case within the business. So I was talking to one of the heads of one of the big retail outlets in the UK, and I said, when are you going to do 5G in the stores? He said, well, why would I tear out all the wifi? I've got perfectly functioning wifi. >> Yeah, that's true. It's already there. But I think the technology which disappears in front of you, that's the best technology. Like you don't worry about it. You don't think it's there. Wifi, we think we think about that like it's there. >> And I do think wifi 5G switching's got to get easier too. Like for most users, you don't know which is better. You don't even know how to test it. And to your point, it does need to be invisible where the user doesn't need to think about it, right? >> Invisible. See, we came back to invisible. We talked about that yesterday. Telecom should be invisible. >> And it should be, you know? You don't want to be thinking about telecom, but at the same time, telecoms want to be more visible. They want to be visible like Netflix, don't they? I still don't see the path. It's fuzzy to me the path of how they're not going to repeat what happened with the over the top providers if they're invisible. >> Well, if you think about what telcos delivers to consumers, to businesses, then extending that connectivity into your home to help you support secure and extend your connection into Zeus's basement, whatever it is. Obviously that's- >> His awesome setup down there. >> And then in the business environment, there's a big change going on from the old NPLS networks, the old rigid structures of networks to SD1 where the control point is moved outside, which can be under control of the telco, could be under the control of a third party integrator. So there's a lot changing. I think we obsess about the relative role of the telco. The demand is phenomenal for connectivity. So address that, fulfill that. And if they do that, then they'll start to build trust in other areas. >> But don't you think they're going to address that and fulfill that? I mean, they're good at it. That's their wheelhouse. >> And it's a 1.6 trillion market, right? So it's not to be sniffed at. That's fixed on mobile together, obviously. But no, it's a big market. And do we keep changing? As long as the service is good, we don't move away from it. >> So back to the APIs, the eight APIs, right? >> I mean- >> Eight APIs is a joke actually almost. I think they released it too early. The release release on the main stage, you know? Like, what? What is this, right? But of course they will grow into hundreds and thousands of APIs. But they have to spend a lot of time and effort in that sort of context. >> I'd actually like to see the GSMA work with like AWS and Microsoft and VMware and software companies and create some standardization across their APIs. >> Yeah. >> I spoke to them yes- >> We're trying to reinvent them. >> Is that not what they're doing? >> No, they said we are not in the business of a defining standards. And they used a different term, not standard. I mean, seriously. I was like, are you kidding me? >> Let's face it, there aren't just eight APIs out there. There's so many of them. The TM forum's been defining when it's open data architecture. You know, the telcos themselves are defining them. The standards we talked about too earlier with Danielle. There's a lot of APIs out there, but the consistency of APIs, so we can bring them together, to bring all the different services together that will support us in our different lives is really important. I think telcos will do it, it's in their interest to do it. >> All right, guys, we got to wrap. Let's go around the horn here, starting with Chris, Zeus, and then Sarbjeet, just bring us home. Number one hot take from Mobile World Congress MWC23 day two. >> My favorite hot take is the willingness of all the participants who have been traditional telco players who looked inwardly at the industry looking outside for help for partnerships, and to build an ecosystem, a more open ecosystem, which will address our requirements. >> Zeus? >> Yeah, I was going to talk about ecosystem. I think for the first time ever, when I've met with the telcos here, I think they're actually, I don't think they know how to get there yet, but they're at least aware of the fact that they need to understand how to build a big ecosystem around them. So if you think back like 50 years ago, IBM and compute was the center of everything in your company, and then the ecosystem surrounded it. I think today with digital transformation being network centric, the telcos actually have the opportunity to be that center of excellence, and then build an ecosystem around them. I think the SIs are actually in a really interesting place to help them do that 'cause they understand everything top to bottom that I, you know, pre pandemic, I'm not sure the telcos were really understand. I think they understand it today, I'm just not sure they know how to get there. . >> Sarbjeet? >> I've seen the lot of RN demos and testing companies and I'm amazed by it. Everything is turning into software, almost everything. The parts which are not turned into software. I mean every, they will soon. But everybody says that we need the hardware to run something, right? But that hardware, in my view, is getting miniaturized, and it's becoming smaller and smaller. The antennas are becoming smaller. The equipment is getting smaller. That means the cost on the physicality of the assets is going down. But the cost on the software side will go up for telcos in future. And telco is a messy business. Not everybody can do it. So only few will survive, I believe. So that's what- >> Software defined telco. So I'm on a mission. I'm looking for the monetization path. And what I haven't seen yet is, you know, you want to follow the money, follow the data, I say. So next two days, I'm going to be looking for that data play, that potential, the way in which this industry is going to break down the data silos I think there's potential goldmine there, but I haven't figured out yet. >> That's a subject for another day. >> Guys, thanks so much for coming on. You guys are extraordinary partners of theCUBE friends, and great analysts and congratulations and thank you for all you do. Really appreciate it. >> Analyst: Thank you. >> Thanks a lot. >> All right, this is a wrap on day two MWC 23. Go to siliconangle.com for all the news. Where Rob Hope and team are just covering all the news. John Furrier is in the Palo Alto studio. We're rocking all that news, taking all that news and putting it on video. Go to theCUBE.net, you'll see everything on demand. Thanks for watching. This is a wrap on day two. We'll see you tomorrow. (soft music)
SUMMARY :
that drive human progress. Good to see you again, And so, in the past, we had technologies have evolved in the last five years? is that the users often don't even know So embedding the connectivity somewhere along the line. at the Super Bowl this year, I'm not familiar with it. for the coaches to talk to the sidelines. you can't use your cell. Okay, so, but so the innovation of the practitioners, if you will. I mean, all the blockchain developers that how the network responds, embed WebEx in the car. Like, isn't there more that we can do? You noticed down on the SKT Especially if you're in there. I don't know if you guys So one of the issues around the, I mean, in the enterprise- I think 10 to 15%. It's 10 to 12%, something like that. Okay, so if it's So at the surface, you go, control the cores. That's the thing. And that obviously has to change and to networks as well. the economics point of view. I mean, some of that stuff's I want to ask you P5G is going to basically replace wireless Pat Gelsinger said that is what he said, right? Analyst: Wifi's too to embed really well. So a lot of businesses Well, it does for the most part. For the most part. And that's going to disrupt it. and you got some pretty it does not make sense to bring private. So where's it going to be used? The cranes in the port are You could apply that to airports. I think it's a perfect use case for that. But you don't need 5G to do that. in and out all the time. Yeah, but you're coming See, we can't even agree on that. Yeah, I love it. I believe the reliability of connection and the 5G stuff will be good. I tear out all the wifi? that's the best technology. And I do think wifi 5G We talked about that yesterday. I still don't see the path. to help you support secure from the old NPLS networks, But don't you think So it's not to be sniffed at. the main stage, you know? the GSMA work with like AWS are not in the business You know, the telcos Let's go around the horn here, of all the participants that they need to understand But the cost on the the data silos I think there's and thank you for all you do. John Furrier is in the Palo Alto studio.
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Keynote Analysis with Sarbjeet Johal & Chris Lewis | MWC Barcelona 2023
(upbeat instrumental music) >> TheCUBE's live coverage is made possible by funding from Dell Technologies, creating technologies that drive human progress. (uplifting instrumental music) >> Hey everyone. Welcome to Barcelona, Spain. It's theCUBE Live at MWC '23. I'm Lisa Martin, Dave Vellante, our co-founder, our co-CEO of theCUBE, you know him, you love him. He's here as my co-host. Dave, we have a great couple of guests here to break down day one keynote. Lots of meat. I can't wait to be part of this conversation. Chris Lewis joins us, the founder and MD of Lewis Insight. And Sarbjeet Johal, one of you know him as well. He's a Cube contributor, cloud architect. Guys, welcome to the program. Thank you so much for joining Dave and me today. >> Lovely to be here. >> Thank you. >> Chris, I want to start with you. You have covered all aspects of global telecoms industries over 30 years working as an analyst. Talk about the evolution of the telecom industry that you've witnessed, and what were some of the things you heard in the keynote that excite you about the direction it's going? >> Well, as ever, MWC, there's no lack of glitz and glamour, but it's the underlying issues of the industry that are really at stake here. There's not a lot of new revenue coming into the telecom providers, but there's a lot of adjustment, readjustment of the underlying operational environment. And also, really importantly, what came out of the keynotes is the willingness and the necessity to really engage with the API community, with the developer community, people who traditionally, telecoms would never have even touched. So they're sorting out their own house, they're cleaning their own stables, getting the cost base down, but they're also now realizing they've got to engage with all the other parties. There's a lot of cloud providers here, there's a lot of other people from outside so they're realizing they cannot do it all themselves. It's quite a tough lesson for a very conservative, inward looking industry, right? So should we be spending all this money and all this glitz and glamour of MWC and all be here, or should would be out there really building for the future and making sure the services are right for yours and my needs in a business and personal lives? So a lot of new changes, a lot of realization of what's going on outside, but underlying it, we've just got to get this right this time. >> And it feels like that monetization is front and center. You mentioned developers, we've got to work with developers, but I'm hearing the latest keynote from the Ericsson CEOs, we're going to monetize through those APIs, we're going to charge the developers. I mean, first of all, Chris, am I getting that right? And Sarbjeet, as somebody who's close to the developer community, is that the right way to build bridges? But Chris, are we getting that right? >> Well, let's take the first steps first. So, Ericsson, of course, acquired Vonage, which is a massive API business so they want to make money. They expect to make money by bringing that into the mainstream telecom community. Now, whether it's the developers who pay for it, or let's face it, we are moving into a situation as the telco moves into a techco model where the techco means they're going to be selling bits of the technology to developer guys and to other application developers. So when he says he needs to charge other people for it, it's the way in which people reach in and will take going through those open APIs like the open gateway announced today, but also the way they'll reach in and take things like network slicing. So we're opening up the telecom community, the treasure chest, if you like, where developers' applications and other third parties can come in and take those chunks of technology and build them into their services. This is a complete change from the old telecom industry where everybody used to come and you say, "all right, this is my product, you've got to buy it and you're going to pay me a lot of money for it." So we are looking at a more flexible environment where the other parties can take those chunks. And we know we want collectivity built into our financial applications, into our government applications, everything, into the future of the metaverse, whatever it may be. But it requires that change in attitude of the telcos. And they do need more money 'cause they've said, the baseline of revenue is pretty static, there's not a lot of growth in there so they're looking for new revenues. It's in a B2B2X time model. And it's probably the middle man's going to pay for it rather than the customer. >> But the techco model, Sarbjeet, it looks like the telcos are getting their money on their way in. The techco company model's to get them on their way out like the app store. Go build something of value, build some kind of app or data product, and then when it takes off, we'll take a piece of the action. What are your thoughts from a developer perspective about how the telcos are approaching it? >> Yeah, I think before we came here, like I said, I did some tweets on this, that we talk about all kind of developers, like there's game developers and front end, back end, and they're all talking about like what they're building on top of cloud, but nowhere you will hear the term "telco developer," there's no API from telcos given to the developers to build IoT solutions on top of it because telco as an IoT, I think is a good sort of hand in hand there. And edge computing as well. The glimmer of hope, if you will, for telcos is the edge computing, I believe. And even in edge, I predicted, I said that many times that cloud players will dominate that market with the private 5G. You know that story, right? >> We're going to talk about that. (laughs) >> The key is this, that if you see in general where the population lives, in metros, right? That's where the world population is like flocking to and we have cloud providers covering the local zones with local like heavy duty presence from the big cloud providers and then these telcos are getting sidetracked by that. Even the V2X in cars moving the autonomous cars and all that, even in that space, telcos are getting sidetracked in many ways. What telcos have to do is to join the forces, build some standards, if not standards, some consortium sort of. They're trying to do that with the open gateway here, they have only eight APIs. And it's 2023, eight APIs is nothing, right? (laughs) So they should have started this 10 years back, I think. So, yeah, I think to entice the developers, developers need the employability, we need to train them, we need to show them some light that hey, you can build a lot on top of it. If you tell developers they can develop two things or five things, nobody will come. >> So, Chris, the cloud will dominate the edge. So A, do you buy it? B, the telcos obviously are acting like that might happen. >> Do you know I love people when they've got their heads in the clouds. (all laugh) And you're right in so many ways, but if you flip it around and think about how the customers think about this, business customers and consumers, they don't care about all this background shenanigans going on, do they? >> Lisa: No. >> So I think one of the problems we have is that this is a new territory and whether you call it the edge or whatever you call it, what we need there is we need connectivity, we need security, we need storage, we need compute, we need analytics, and we need applications. And are any of those more important than the others? It's the collective that actually drives the real value there. So we need all those things together. And of course, the people who represented at this show, whether it's the cloud guys, the telcos, the Nokia, the Ericssons of this world, they all own little bits of that. So that's why they're all talking partnerships because they need the combination, they cannot do it on their own. The cloud guys can't do it on their own. >> Well, the cloud guys own all of those things that you just talked about though. (all laugh) >> Well, they don't own the last bit of connectivity, do they? They don't own the access. >> Right, exactly. That's the one thing they don't own. So, okay, we're back to pipes, right? We're back to charging for connectivity- >> Pipes are very valuable things, right? >> Yeah, for sure. >> Never underestimate pipes. I don't know about where you live, plumbers make a lot of money where I live- >> I don't underestimate them but I'm saying can the telcos charge for more than that or are the cloud guys going to mop up the storage, the analytics, the compute, and the apps? >> They may mop it up, but I think what the telcos are doing and we've seen a lot of it here already, is they are working with all those major cloud guys already. So is it an unequal relationship? The cloud guys are global, massive global scale, the telcos are fundamentally national operators. >> Yep. >> Some have a little bit of regional, nobody has global scale. So who stitches it all together? >> Dave: Keep your friends close and your enemies closer. >> Absolutely. >> I know that saying never gets old. It's true. Well, Sarbjeet, one of the things that you tweeted about, I didn't get to see the keynote but I was looking at your tweets. 46% of telcos think they won't make it to the next decade. That's a big number. Did that surprise you? >> No, actually it didn't surprise me because the competition is like closing in on them and the telcos are competing with telcos as well and the telcos are competing with cloud providers on the other side, right? So the smaller ones are getting squeezed. It's the bigger players, they can hook up the newer platforms, I think they will survive. It's like that part is like any other industry, if you will. But the key is here, I think why the pain points were sort of described on the main stage is that they're crying out loud to tell the big tech cloud providers that "hey, you pay your fair share," like we talked, right? You are not paying, you're generating so much content which reverses our networks and you are not paying for it. So they are not able to recoup the cost of laying down their networks. By the way, one thing actually I want to mention is that they said the cloud needs earth. The cloud and earth, it's like there's no physical need to cloud, you know that, right? So like, I think it's the other way around. I think the earth needs the cloud because I'm a cloud guy. (Sarbjeet and Lisa laugh) >> I think you need each other, right? >> I think so too. >> They need each other. When they said cloud needs earth, right? I think they're still in denial that the cloud is a big force. They have to partner. When you can't compete with somebody, what do you do? Partner with them. >> Chris, this is your world. Are they in denial? >> No, I think they're waking up to the pragmatism of the situation. >> Yeah. >> They're building... As we said, most of the telcos, you find have relationships with the cloud guys, I think you're right about the industry. I mean, do you think what's happened since US was '96, the big telecom act when we started breaking up all the big telcos and we had lots of competition came in, we're seeing the signs that we might start to aggregate them back up together again. So it's been an interesting experiment for like 30 years, hasn't it too? >> It made the US less competitive, I would argue, but carry on. >> Yes, I think it's true. And Europe is maybe too competitive and therefore, it's not driven the investment needed. And by the way, it's not just mobile, it's fixed as well. You saw the Orange CEO was talking about the her investment and the massive fiber investments way ahead of many other countries, way ahead of the UK or Germany. We need that fiber in the ground to carry all your cloud traffic to do this. So there is a scale issue, there is a competition issue, but the telcos are very much aware of it. They need the cloud, by the way, to improve their operational environments as well, to change that whole old IT environment to deliver you and I better service. So no, it absolutely is changing. And they're getting scale, but they're fundamentally offering the basic product, you call it pipes, I'll just say they're offering broadband to you and I and the business community. But they're stepping on dangerous ground, I think, when saying they want to charge the over the top guys for all the traffic they use. Those over the top guys now build a lot of the global networks, the backbone submarine network. They're putting a lot of money into it, and by giving us endless data for our individual usage, that cat is out the bag, I think to a large extent. >> Yeah. And Orange CEO basically said that, that they're not paying their fair share. I'm for net neutrality but the governments are going to have to fund this unless you let us charge the OTT. >> Well, I mean, we could of course renationalize. Where would that take us? (Dave laughs) That would make MWC very interesting next year, wouldn't it? To renationalize it. So, no, I think you've got to be careful what we wish for here. Creating the absolute clear product that is required to underpin all of these activities, whether it's IoT or whether it's cloud delivery or whether it's just our own communication stuff, delivering that absolutely ubiquitously high quality for business and for consumer is what we have to do. And telcos have been too conservative in the past. >> I think they need to get together and create standards around... I think they have a big opportunity. We know that the clouds are being built in silos, right? So there's Azure stack, there's AWS and there's Google. And those are three main ones and a few others, right? So that we are fighting... On the cloud side, what we are fighting is the multicloud. How do we consume that multicloud without having standards? So if these people get together and create some standards around IoT and edge computing sort of area, people will flock to them to say, "we will use you guys, your API, we don't care behind the scenes if you use AWS or Google Cloud or Azure, we will come to you." So market, actually is looking for that solution. I think it's an opportunity for these guys, for telcos. But the problem with telcos is they're nationalized, as you said Chris versus the cloud guys are still kind of national in a way, but they're global corporations. And some of the telcos are global corporations as well, BT covers so many countries and TD covers so many... DT is in US as well, so they're all over the place. >> But you know what's interesting is that the TM forum, which is one of the industry associations, they've had an open digital architecture framework for quite some years now. Google had joined that some years ago, Azure in there, AWS just joined it a couple of weeks ago. So when people said this morning, why isn't AWS on the keynote? They don't like sharing the limelight, do they? But they're getting very much in bed with the telco. So I think you'll see the marriage. And in fact, there's a really interesting statement, if you look at the IoT you mentioned, Bosch and Nokia have been working together 'cause they said, the problem we've got, you've got a connectivity network on one hand, you've got the sensor network on the other hand, you're trying to merge them together, it's a nightmare. So we are finally seeing those sort of groups talking to each other. So I think the standards are coming, the cooperation is coming, partnerships are coming, but it means that the telco can't dominate the sector like it used to. It's got to play ball with everybody else. >> I think they have to work with the regulators as well to loosen the regulation. Or you said before we started this segment, you used Chris, the analogy of sports, right? In sports, when you're playing fiercely, you commit the fouls and then ask for ref to blow the whistle. You're now looking at the ref all the time. The telcos are looking at the ref all the time. >> Dave: Yeah, can I do this? Can I do that? Is this a fair move? >> They should be looking for the space in front of the opposition. >> Yeah, they should be just on attack mode and commit these fouls, if you will, and then ask for forgiveness then- >> What do you make of that AWS not you there- >> Well, Chris just made a great point that they don't like to share the limelight 'cause I thought it was very obvious that we had Google Cloud, we had Microsoft there on day one of this 80,000 person event. A lot of people back from COVID and they weren't there. But Chris, you brought up a great point that kind of made me think, maybe you're right. Maybe they're in the afternoon keynote, they want their own time- >> You think GSMA invited them? >> I imagine so. You'd have to ask GSMA. >> I would think so. >> Get Max on here and ask that. >> I'm going to ask them, I will. >> But no, and they don't like it because I think the misconception, by the way, is that everyone says, "oh, it's AWS, it's Google Cloud and it's Azure." They're not all the same business by any stretch of the imagination. AWS has been doing loads of great work, they've been launching private network stuff over the last couple of weeks. Really interesting. Google's been playing catch up. We know that they came in readily late to the market. And Azure, they've all got slightly different angles on it. So perhaps it just wasn't right for AWS and the way they wanted to pitch things so they don't have to be there, do they? >> That's a good point. >> But the industry needs them there, that's the number one cloud. >> Dave, they're there working with the industry. >> Yeah, of course. >> They don't have to be on the keynote stage. And in fact, you think about this show and you mentioned the 80,000 people, the activity going on around in all these massive areas they're in, it's fantastic. That's where the business is done. The business isn't done up on the keynote stage. >> That's why there's the glitz and the glamour, Chris. (all laugh) >> Yeah. It's not glitz, it's espresso. It's not glamour anymore, it's just espresso. >> We need the espresso. >> Yeah. >> I think another thing is that it's interesting how an average European sees the tech market and an average North American, especially you from US, you have to see the market. Here, people are more like process oriented and they want the rules of the road already established before they can take a step- >> Chris: That's because it's your pension in the North American- >> Exactly. So unions are there and the more employee rights and everything, you can't fire people easily here or in Germany or most of the Europe is like that with the exception of UK. >> Well, but it's like I said, that Silicone Valley gets their money on the way out, you know? And that's how they do it, that's how they think it. And they don't... They ask for forgiveness. I think the east coast is more close to Europe, but in the EU, highly regulated, really focused on lifetime employment, things like that. >> But Dave, the issue is the telecom industry is brilliant, right? We keep paying every month whatever we do with it. >> It's a great business, to your point- >> It's a brilliant business model. >> Dave: It's fantastic. >> So it's about then getting the structure right behind it. And you know, we've seen a lot of stratification where people are selling off towers, Orange haven't sold their towers off, they made a big point about that. Others are selling their towers off. Some people are selling off their underlying network, Telecom Italia talking about KKR buying the whole underlying network. It's like what do you want to be in control of? It's a great business. >> But that's why they complain so much is that they're having to sell their assets because of the onerous CapEx requirements, right? >> Yeah, they've had it good, right? And dare I say, perhaps they've not planned well enough for the future. >> They're trying to protect their past from the future. I mean, that's... >> Actually, look at the... Every "n" number of years, there's a new faster network. They have to dig the ground, they have to put the fiber, they have to put this. Now, there are so many booths showing 6G now, we are not even done with 5G yet, now the next 6G you know, like then- >> 10G's coming- >> 10G, that's a different market. (Dave laughs) >> Actually, they're bogged down by the innovation, I think. >> And the generational thing is really important because we're planning for 6G in all sorts of good ways but actually what we use in our daily lives, we've gone through the barrier, we've got enough to do that. So 4G gives us enough, the fiber in the ground or even old copper gives us enough. So the question is, what are we willing to pay for more than that basic connectivity? And the answer to your point, Dave, is not a lot, right? So therefore, that's why the emphasis is on the business market on that B2B and B2B2X. >> But we'll pay for Netflix all day long. >> All day long. (all laugh) >> The one thing Chris, I don't know, I want to know your viewpoints and we have talked in the past as well, there's absence of think tanks in tech, right? So we have think tanks on the foreign policy and economic policy in every country, and we have global think tanks, but tech is becoming a huge part of the economy, global economy as well as national economies, right? But we don't have think tanks on like policy around tech. For example, this 4G is good for a lot of use cases. Then 5G is good for smaller number of use cases. And then 6G will be like, fewer people need 6G for example. Why can't we have sort of those kind of entities dictating those kind of like, okay, is this a wiser way to go about it? >> Lina Khan wants to. She wants to break up big tech- >> You're too young to remember but the IT used to have a show every four years in Geneva, there were standards around there. So I think there are bodies. I think the balance of power obviously has gone from the telecom to the west coast to the IT markets. And it's changing the balance about, it moves more quickly, right? Telecoms has never moved quickly enough. I think there is hope by the way, that telecoms now that we are moving to more softwarized environment, and God forbid, we're moving into CICD in the telecom world, right? Which is a massive change, but I think there's hopes for it to change. The mentality is changing, the culture is changing, but to change those old structured organizations from the British telecom or the France telecom into the modern world, it's a hell of a long journey. It's not an overnight journey at all. >> Well, of course the theme of the event is velocity. >> Yeah, I know that. >> And it's been interesting sitting here with the three of you talking about from a historic perspective, how slow and molasseslike telecom has been. They don't have a choice anymore. As consumers, we have this expectation we're going to get anything we want on our mobile device, 24 by seven. We don't care about how the sausage is made, we just want the end result. So do you really think, and we're only on day one guys... And Chris we'll start with you. Is the theme really velocity? Is it disruption? Are they able to move faster? >> Actually, I think invisibility is the real answer. (Lisa laughs) We want communication to be invisible, right? >> Absolutely. >> We want it to work. When we switch our phones on, we want it to work and we want to... Well, they're not even phones anymore, are they really? I mean that's the... So no, velocity, we've got... There is momentum in the industry, there's no doubt about that. The cloud guys coming in, making telecoms think about the way they run their own business, where they meet, that collision point on the edges you talked about Sarbjeet. We do have velocity, we've got momentum. There's so many interested parties. The way I think of this is that the telecom industry used to be inward looking, just design its own technology and then expect everyone else to dance to our tune. We're now flipping that 180 degrees and we are now having to work with all the different outside forces shaping us. Whether it's devices, whether it's smart cities, governments, the hosting guys, the Equinoxis, all these things. So everyone wants a piece of this telecom world so we've got to make ourselves more open. That's why you get in a more open environment. >> But you did... I just want to bring back a point you made during COVID, which was when everybody switched to work from home, started using their landlines again, telcos had to respond and nothing broke. I mean, it was pretty amazing. >> Chris: It did a good job. >> It was kind of invisible. So, props to the telcos for making that happen. >> They did a great job. >> So it really did. Now, okay, what have you done for me lately? So now they've got to deal with the future and they're talking monetization. But to me, monetization is all about data and not necessarily just the network data. Yeah, they can sell that 'cause they own that but what kind of incremental value are they going to create for the consumers that... >> Yeah, actually that's a problem. I think the problem is that they have been strangled by the regulation for a long time and they cannot look at their data. It's a lot more similar to the FinTech world, right? I used to work at Visa. And then Visa, we did trillion dollars in transactions in '96. Like we moved so much money around, but we couldn't look at these things, right? So yeah, I think regulation is a problem that holds you back, it's the antithesis of velocity, it slows you down. >> But data means everything, doesn't it? I mean, it means everything and nothing. So I think the challenge here is what data do the telcos have that is useful, valuable to me, right? So in the home environment, the fact that my broadband provider says, oh, by the way, you've got 20 gadgets on that network and 20 on that one... That's great, tell me what's on there. I probably don't know what's taking all my valuable bandwidth up. So I think there's security wrapped around that, telling me the way I'm using it if I'm getting the best out of my service. >> You pay for that? >> No, I'm saying they don't do it yet. I think- >> But would you pay for that? >> I think I would, yeah. >> Would you pay a lot for that? I would expect it to be there as part of my dashboard for my monthly fee. They're already charging me enough. >> Well, that's fine, but you pay a lot more in North America than I do in Europe, right? >> Yeah, no, that's true. >> You're really overpaying over there, right? >> Way overpaying. >> So, actually everybody's looking at these devices, right? So this is a radio operated device basically, right? And then why couldn't they benefit from this? This is like we need to like double click on this like 10 times to find out why telcos failed to leverage this device, right? But I think the problem is their reliance on regulations and their being close to the national sort of governments and local bodies and authorities, right? And in some countries, these telcos are totally controlled in very authoritarian ways, right? It's not like open, like in the west, most of the west. Like the world is bigger than five, six countries and we know that, right? But we end up talking about the major economies most of the time. >> Dave: Always. >> Chris: We have a topic we want to hit on. >> We do have a topic. Our last topic, Chris, it's for you. You guys have done an amazing job for the last 25 minutes talking about the industry, where it's going, the evolution. But Chris, you're registered blind throughout your career. You're a leading user of assertive technologies. Talk about diversity, equity, inclusion, accessibility, some of the things you're doing there. >> Well, we should have had 25 minutes on that and five minutes on- (all laugh) >> Lisa: You'll have to come back. >> Really interesting. So I've been looking at it. You're quite right, I've been using accessible technology on my iPhone and on my laptop for 10, 20 years now. It's amazing. And what I'm trying to get across to the industry is to think about inclusive design from day one. When you're designing an app or you're designing a service, make sure you... And telecom's a great example. In fact, there's quite a lot of sign language around here this week. If you look at all the events written, good to see that coming in. Obviously, no use to me whatsoever, but good for the hearing impaired, which by the way is the biggest category of disability in the world. Biggest chunk is hearing impaired, then vision impaired, and then cognitive and then physical. And therefore, whenever you're designing any service, my call to arms to people is think about how that's going to be used and how a blind person might use it or how a deaf person or someone with physical issues or any cognitive issues might use it. And a great example, the GSMA and I have been talking about the app they use for getting into the venue here. I downloaded it. I got the app downloaded and I'm calling my guys going, where's my badge? And he said, "it's top left." And because I work with a screen reader, they hadn't tagged it properly so I couldn't actually open my badge on my own. Now, they changed it overnight so it worked this morning, which is fantastic work by Trevor and the team. But it's those things that if you don't build it in from scratch, you really frustrate a whole group of users. And if you think about it, people with disabilities are excluded from so many services if they can't see the screen or they can't hear it. But it's also the elderly community who don't find it easy to get access to things. Smart speakers have been a real blessing in that respect 'cause you can now talk to that thing and it starts talking back to you. And then there's the people who can't afford it so we need to come down market. This event is about launching these thousand dollars plus devices. Come on, we need below a hundred dollars devices to get to the real mass market and get the next billion people in and then to educate people how to use it. And I think to go back to your previous point, I think governments are starting to realize how important this is about building the community within the countries. You've got some massive projects like NEOM in Saudi Arabia. If you have a look at that, if you get a chance, a fantastic development in the desert where they're building a new city from scratch and they're building it so anyone and everyone can get access to it. So in the past, it was all done very much by individual disability. So I used to use some very expensive, clunky blind tech stuff. I'm now using mostly mainstream. But my call to answer to say is, make sure when you develop an app, it's accessible, anyone can use it, you can talk to it, you can get whatever access you need and it will make all of our lives better. So as we age and hearing starts to go and sight starts to go and dexterity starts to go, then those things become very useful for everybody. >> That's a great point and what a great champion they have in you. Chris, Sarbjeet, Dave, thank you so much for kicking things off, analyzing day one keynote, the ecosystem day, talking about what velocity actually means, where we really are. We're going to have to have you guys back 'cause as you know, we can keep going, but we are out of time. But thank you. >> Pleasure. >> We had a very spirited, lively conversation. >> Thanks, Dave. >> Thank you very much. >> For our guests and for Dave Vellante, I'm Lisa Martin, you're watching theCUBE live in Barcelona, Spain at MWC '23. We'll be back after a short break. See you soon. (uplifting instrumental music)
SUMMARY :
that drive human progress. the founder and MD of Lewis Insight. of the telecom industry and making sure the services are right is that the right way to build bridges? the treasure chest, if you like, But the techco model, Sarbjeet, is the edge computing, I believe. We're going to talk from the big cloud providers So, Chris, the cloud heads in the clouds. And of course, the people Well, the cloud guys They don't own the access. That's the one thing they don't own. I don't know about where you live, the telcos are fundamentally Some have a little bit of regional, Dave: Keep your friends Well, Sarbjeet, one of the and the telcos are competing that the cloud is a big force. Are they in denial? to the pragmatism of the situation. the big telecom act It made the US less We need that fiber in the ground but the governments are conservative in the past. We know that the clouds are but it means that the telco at the ref all the time. in front of the opposition. that we had Google Cloud, You'd have to ask GSMA. and the way they wanted to pitch things But the industry needs them there, Dave, they're there be on the keynote stage. glitz and the glamour, Chris. It's not glitz, it's espresso. sees the tech market and the more employee but in the EU, highly regulated, the issue is the telecom buying the whole underlying network. And dare I say, I mean, that's... now the next 6G you know, like then- 10G, that's a different market. down by the innovation, I think. And the answer to your point, (all laugh) on the foreign policy Lina Khan wants to. And it's changing the balance about, Well, of course the theme Is the theme really velocity? invisibility is the real answer. is that the telecom industry But you did... So, props to the telcos and not necessarily just the network data. it's the antithesis of So in the home environment, No, I'm saying they don't do it yet. Would you pay a lot for that? most of the time. topic we want to hit on. some of the things you're doing there. So in the past, We're going to have to have you guys back We had a very spirited, See you soon.
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theCUBE's New Analyst Talks Cloud & DevOps
(light music) >> Hi everybody. Welcome to this Cube Conversation. I'm really pleased to announce a collaboration with Rob Strechay. He's a guest cube analyst, and we'll be working together to extract the signal from the noise. Rob is a long-time product pro, working at a number of firms including AWS, HP, HPE, NetApp, Snowplow. I did a stint as an analyst at Enterprise Strategy Group. Rob, good to see you. Thanks for coming into our Marlboro Studios. >> Well, thank you for having me. It's always great to be here. >> I'm really excited about working with you. We've known each other for a long time. You've been in the Cube a bunch. You know, you're in between gigs, and I think we can have a lot of fun together. Covering events, covering trends. So. let's get into it. What's happening out there? We're sort of exited the isolation economy. Things were booming. Now, everybody's tapping the brakes. From your standpoint, what are you seeing out there? >> Yeah. I'm seeing that people are really looking how to get more out of their data. How they're bringing things together, how they're looking at the costs of Cloud, and understanding how are they building out their SaaS applications. And understanding that when they go in and actually start to use Cloud, it's not only just using the base services anymore. They're looking at, how do I use these platforms as a service? Some are easier than others, and they're trying to understand, how do I get more value out of that relationship with the Cloud? They're also consolidating the number of Clouds that they have, I would say to try to better optimize their spend, and getting better pricing for that matter. >> Are you seeing people unhook Clouds, or just reduce maybe certain Cloud activities and going maybe instead of 60/40 going 90/10? >> Correct. It's more like the 90/10 type of rule where they're starting to say, Hey I'm not going to get rid of Azure or AWS or Google. I'm going to move a portion of this over that I was using on this one service. Maybe I got a great two-year contract to start with on this platform as a service or a database as a service. I'm going to unhook from that and maybe go with an independent. Maybe with something like a Snowflake or a Databricks on top of another Cloud, so that I can consolidate down. But it also gives them more flexibility as well. >> In our last breaking analysis, Rob, we identified six factors that were reducing Cloud consumption. There were factors and customer tactics. And I want to get your take on this. So, some of the factors really, you got fewer mortgage originations. FinTech, obviously big Cloud user. Crypto, not as much activity there. Lower ad spending means less Cloud. And then one of 'em, which you kind of disagreed with was less, less analytics, you know, fewer... Less frequency of calculations. I'll come back to that. But then optimizing compute using Graviton or AMD instances moving to cheaper storage tiers. That of course makes sense. And then optimize pricing plans. Maybe going from On Demand, you know, to, you know, instead of pay by the drink, buy in volume. Okay. So, first of all, do those make sense to you with the exception? We'll come back and talk about the analytics piece. Is that what you're seeing from customers? >> Yeah, I think so. I think that was pretty much dead on with what I'm seeing from customers and the ones that I go out and talk to. A lot of times they're trying to really monetize their, you know, understand how their business utilizes these Clouds. And, where their spend is going in those Clouds. Can they use, you know, lower tiers of storage? Do they really need the best processors? Do they need to be using Intel or can they get away with AMD or Graviton 2 or 3? Or do they need to move in? And, I think when you look at all of these Clouds, they always have pricing curves that are arcs from the newest to the oldest stuff. And you can play games with that. And understanding how you can actually lower your costs by looking at maybe some of the older generation. Maybe your application was written 10 years ago. You don't necessarily have to be on the best, newest processor for that application per se. >> So last, I want to come back to this whole analytics piece. Last June, I think it was June, Dev Ittycheria, who's the-- I call him Dev. Spelled Dev, pronounced Dave. (chuckles softly) Same pronunciation, different spelling. Dev Ittycheria, CEO of Mongo, on the earnings call. He was getting, you know, hit. Things were starting to get a little less visible in terms of, you know, the outlook. And people were pushing him like... Because you're in the Cloud, is it easier to dial down? And he said, because we're the document database, we support transaction applications. We're less discretionary than say, analytics. Well on the Snowflake earnings call, that same month or the month after, they were all over Slootman and Scarpelli. Oh, the Mongo CEO said that they're less discretionary than analytics. And Snowflake was an interesting comment. They basically said, look, we're the Cloud. You can dial it up, you can dial it down, but the area under the curve over a period of time is going to be the same, because they get their customers to commit. What do you say? You disagreed with the notion that people are running their calculations less frequently. Is that because they're trying to do a better job of targeting customers in near real time? What are you seeing out there? >> Yeah, I think they're moving away from using people and more expensive marketing. Or, they're trying to figure out what's my Google ad spend, what's my Meta ad spend? And what they're trying to do is optimize that spend. So, what is the return on advertising, or the ROAS as they would say. And what they're looking to do is understand, okay, I have to collect these analytics that better understand where are these people coming from? How do they get to my site, to my store, to my whatever? And when they're using it, how do they they better move through that? What you're also seeing is that analytics is not only just for kind of the retail or financial services or things like that, but then they're also, you know, using that to make offers in those categories. When you move back to more, you know, take other companies that are building products and SaaS delivered products. They may actually go and use this analytics for making the product better. And one of the big reasons for that is maybe they're dialing back how many product managers they have. And they're looking to be more data driven about how they actually go and build the product out or enhance the product. So maybe they're, you know, an online video service and they want to understand why people are either using or not using the whiteboard inside the product. And they're collecting a lot of that product analytics in a big way so that they can go through that. And they're doing it in a constant manner. This first party type tracking within applications is growing rapidly by customers. >> So, let's talk about who wins in that. So, obviously the Cloud guys, AWS, Google and Azure. I want to come back and unpack that a little bit. Databricks and Snowflake, we reported on our last breaking analysis, it kind of on a collision course. You know, a couple years ago we were thinking, okay, AWS, Snowflake and Databricks, like perfect sandwich. And then of course they started to become more competitive. My sense is they still, you know, compliment each other in the field, right? But, you know, publicly, they've got bigger aspirations, they get big TAMs that they're going after. But it's interesting, the data shows that-- So, Snowflake was off the charts in terms of spending momentum and our EPR surveys. Our partner down in New York, they kind of came into line. They're both growing in terms of market presence. Databricks couldn't get to IPO. So, we don't have as much, you know, visibility on their financials. You know, Snowflake obviously highly transparent cause they're a public company. And then you got AWS, Google and Azure. And it seems like AWS appears to be more partner friendly. Microsoft, you know, depends on what market you're in. And Google wants to sell BigQuery. >> Yeah. >> So, what are you seeing in the public Cloud from a data platform perspective? >> Yeah. I think that was pretty astute in what you were talking about there, because I think of the three, Google is definitely I think a little bit behind in how they go to market with their partners. Azure's done a fantastic job of partnering with these companies to understand and even though they may have Synapse as their go-to and where they want people to go to do AI and ML. What they're looking at is, Hey, we're going to also be friendly with Snowflake. We're also going to be friendly with a Databricks. And I think that, Amazon has always been there because that's where the market has been for these developers. So, many, like Databricks' and the Snowflake's have gone there first because, you know, Databricks' case, they built out on top of S3 first. And going and using somebody's object layer other than AWS, was not as simple as you would think it would be. Moving between those. >> So, one of the financial meetups I said meetup, but the... It was either the CEO or the CFO. It was either Slootman or Scarpelli talking at, I don't know, Merrill Lynch or one of the other financial conferences said, I think it was probably their Q3 call. Snowflake said 80% of our business goes through Amazon. And he said to this audience, the next day we got a call from Microsoft. Hey, we got to do more. And, we know just from reading the financial statements that Snowflake is getting concessions from Amazon, they're buying in volume, they're renegotiating their contracts. Amazon gets it. You know, lower the price, people buy more. Long term, we're all going to make more money. Microsoft obviously wants to get into that game with Snowflake. They understand the momentum. They said Google, not so much. And I've had customers tell me that they wanted to use Google's AI with Snowflake, but they can't, they got to go to to BigQuery. So, honestly, I haven't like vetted that so. But, I think it's true. But nonetheless, it seems like Google's a little less friendly with the data platform providers. What do you think? >> Yeah, I would say so. I think this is a place that Google looks and wants to own. Is that now, are they doing the right things long term? I mean again, you know, you look at Google Analytics being you know, basically outlawed in five countries in the EU because of GDPR concerns, and compliance and governance of data. And I think people are looking at Google and BigQuery in general and saying, is it the best place for me to go? Is it going to be in the right places where I need it? Still, it's still one of the largest used databases out there just because it underpins a number of the Google services. So you almost get, like you were saying, forced into BigQuery sometimes, if you want to use the tech on top. >> You do strategy. >> Yeah. >> Right? You do strategy, you do messaging. Is it the right call by Google? I mean, it's not a-- I criticize Google sometimes. But, I'm not sure it's the wrong call to say, Hey, this is our ace in the hole. >> Yeah. >> We got to get people into BigQuery. Cause, first of all, BigQuery is a solid product. I mean it's Cloud native and it's, you know, by all, it gets high marks. So, why give the competition an advantage? Let's try to force people essentially into what is we think a great product and it is a great product. The flip side of that is, they're giving up some potential partner TAM and not treating the ecosystem as well as one of their major competitors. What do you do if you're in that position? >> Yeah, I think that that's a fantastic question. And the question I pose back to the companies I've worked with and worked for is, are you really looking to have vendor lock-in as your key differentiator to your service? And I think when you start to look at these companies that are moving away from BigQuery, moving to even, Databricks on top of GCS in Google, they're looking to say, okay, I can go there if I have to evacuate from GCP and go to another Cloud, I can stay on Databricks as a platform, for instance. So I think it's, people are looking at what platform as a service, database as a service they go and use. Because from a strategic perspective, they don't want that vendor locking. >> That's where Supercloud becomes interesting, right? Because, if I can run on Snowflake or Databricks, you know, across Clouds. Even Oracle, you know, they're getting into business with Microsoft. Let's talk about some of the Cloud players. So, the big three have reported. >> Right. >> We saw AWSs Cloud growth decelerated down to 20%, which is I think the lowest growth rate since they started to disclose public numbers. And they said they exited, sorry, they said January they grew at 15%. >> Yeah. >> Year on year. Now, they had some pretty tough compares. But nonetheless, 15%, wow. Azure, kind of mid thirties, and then Google, we had kind of low thirties. But, well behind in terms of size. And Google's losing probably almost $3 billion annually. But, that's not necessarily a bad thing by advocating and investing. What's happening with the Cloud? Is AWS just running into the law, large numbers? Do you think we can actually see a re-acceleration like we have in the past with AWS Cloud? Azure, we predicted is going to be 75% of AWS IAS revenues. You know, we try to estimate IAS. >> Yeah. >> Even though they don't share that with us. That's a huge milestone. You'd think-- There's some people who have, I think, Bob Evans predicted a while ago that Microsoft would surpass AWS in terms of size. You know, what do you think? >> Yeah, I think that Azure's going to keep to-- Keep growing at a pretty good clip. I think that for Azure, they still have really great account control, even though people like to hate Microsoft. The Microsoft sellers that are out there making those companies successful day after day have really done a good job of being in those accounts and helping people. I was recently over in the UK. And the UK market between AWS and Azure is pretty amazing, how much Azure there is. And it's growing within Europe in general. In the states, it's, you know, I think it's growing well. I think it's still growing, probably not as fast as it is outside the U.S. But, you go down to someplace like Australia, it's also Azure. You hear about Azure all the time. >> Why? Is that just because of the Microsoft's software state? It's just so convenient. >> I think it has to do with, you know, and you can go with the reasoning they don't break out, you know, Office 365 and all of that out of their numbers is because they have-- They're in all of these accounts because the office suite is so pervasive in there. So, they always have reasons to go back in and, oh by the way, you're on these old SQL licenses. Let us move you up here and we'll be able to-- We'll support you on the old version, you know, with security and all of these things. And be able to move you forward. So, they have a lot of, I guess you could say, levers to stay in those accounts and be interesting. At least as part of the Cloud estate. I think Amazon, you know, is hitting, you know, the large number. Laws of large numbers. But I think that they're also going through, and I think this was seen in the layoffs that they were making, that they're looking to understand and have profitability in more of those services that they have. You know, over 350 odd services that they have. And you know, as somebody who went there and helped to start yet a new one, while I was there. And finally, it went to beta back in September, you start to look at the fact that, that number of services, people, their own sellers don't even know all of their services. It's impossible to comprehend and sell that many things. So, I think what they're going through is really looking to rationalize a lot of what they're doing from a services perspective going forward. They're looking to focus on more profitable services and bringing those in. Because right now it's built like a layer cake where you have, you know, S3 EBS and EC2 on the bottom of the layer cake. And then maybe you have, you're using IAM, the authorization and authentication in there and you have all these different services. And then they call it EMR on top. And so, EMR has to pay for that entire layer cake just to go and compete against somebody like Mongo or something like that. So, you start to unwind the costs of that. Whereas Azure, went and they build basically ground up services for the most part. And Google kind of falls somewhere in between in how they build their-- They're a sort of layer cake type effect, but not as many layers I guess you could say. >> I feel like, you know, Amazon's trying to be a platform for the ecosystem. Yes, they have their own products and they're going to sell. And that's going to drive their profitability cause they don't have to split the pie. But, they're taking a piece of-- They're spinning the meter, as Ziyas Caravalo likes to say on every time Snowflake or Databricks or Mongo or Atlas is, you know, running on their system. They take a piece of the action. Now, Microsoft does that as well. But, you look at Microsoft and security, head-to-head competitors, for example, with a CrowdStrike or an Okta in identity. Whereas, it seems like at least for now, AWS is a more friendly place for the ecosystem. At the same time, you do a lot of business in Microsoft. >> Yeah. And I think that a lot of companies have always feared that Amazon would just throw, you know, bodies at it. And I think that people have come to the realization that a two pizza team, as Amazon would call it, is eight people. I think that's, you know, two slices per person. I'm a little bit fat, so I don't know if that's enough. But, you start to look at it and go, okay, if they're going to start out with eight engineers, if I'm a startup and they're part of my ecosystem, do I really fear them or should I really embrace them and try to partner closer with them? And I think the smart people and the smart companies are partnering with them because they're realizing, Amazon, unless they can see it to, you know, a hundred million, $500 million market, they're not going to throw eight to 16 people at a problem. I think when, you know, you could say, you could look at the elastic with OpenSearch and what they did there. And the licensing terms and the battle they went through. But they knew that Elastic had a huge market. Also, you had a number of ecosystem companies building on top of now OpenSearch, that are now domain on top of Amazon as well. So, I think Amazon's being pretty strategic in how they're doing it. I think some of the-- It'll be interesting. I think this year is a payout year for the cuts that they're making to some of the services internally to kind of, you know, how do we take the fat off some of those services that-- You know, you look at Alexa. I don't know how much revenue Alexa really generates for them. But it's a means to an end for a number of different other services and partners. >> What do you make of this ChatGPT? I mean, Microsoft obviously is playing that card. You want to, you want ChatGPT in the Cloud, come to Azure. Seems like AWS has to respond. And we know Google is, you know, sharpening its knives to come up with its response. >> Yeah, I mean Google just went and talked about Bard for the first time this week and they're in private preview or I guess they call it beta, but. Right at the moment to select, select AI users, which I have no idea what that means. But that's a very interesting way that they're marketing it out there. But, I think that Amazon will have to respond. I think they'll be more measured than say, what Google's doing with Bard and just throwing it out there to, hey, we're going into beta now. I think they'll look at it and see where do we go and how do we actually integrate this in? Because they do have a lot of components of AI and ML underneath the hood that other services use. And I think that, you know, they've learned from that. And I think that they've already done a good job. Especially for media and entertainment when you start to look at some of the ways that they use it for helping do graphics and helping to do drones. I think part of their buy of iRobot was the fact that iRobot was a big user of RoboMaker, which is using different models to train those robots to go around objects and things like that, so. >> Quick touch on Kubernetes, the whole DevOps World we just covered. The Cloud Native Foundation Security, CNCF. The security conference up in Seattle last week. First time they spun that out kind of like reinforced, you know, AWS spins out, reinforced from reinvent. Amsterdam's coming up soon, the CubeCon. What should we expect? What's hot in Cubeland? >> Yeah, I think, you know, Kubes, you're going to be looking at how OpenShift keeps growing and I think to that respect you get to see the momentum with people like Red Hat. You see others coming up and realizing how OpenShift has gone to market as being, like you were saying, partnering with those Clouds and really making it simple. I think the simplicity and the manageability of Kubernetes is going to be at the forefront. I think a lot of the investment is still going into, how do I bring observability and DevOps and AIOps and MLOps all together. And I think that's going to be a big place where people are going to be looking to see what comes out of CubeCon in Amsterdam. I think it's that manageability ease of use. >> Well Rob, I look forward to working with you on behalf of the whole Cube team. We're going to do more of these and go out to some shows extract the signal from the noise. Really appreciate you coming into our studio. >> Well, thank you for having me on. Really appreciate it. >> You're really welcome. All right, keep it right there, or thanks for watching. This is Dave Vellante for the Cube. And we'll see you next time. (light music)
SUMMARY :
I'm really pleased to It's always great to be here. and I think we can have the number of Clouds that they have, contract to start with those make sense to you And, I think when you look in terms of, you know, the outlook. And they're looking to My sense is they still, you know, in how they go to market And he said to this audience, is it the best place for me to go? You do strategy, you do messaging. and it's, you know, And I think when you start Even Oracle, you know, since they started to to be 75% of AWS IAS revenues. You know, what do you think? it's, you know, I think it's growing well. Is that just because of the And be able to move you forward. I feel like, you know, I think when, you know, you could say, And we know Google is, you know, And I think that, you know, you know, AWS spins out, and I think to that respect forward to working with you Well, thank you for having me on. And we'll see you next time.
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Anand Oswal, Palo Alto Networks | Palo Alto Networks Ignite22
>> Narrator: TheCUBE presents Ignite 22, brought to you by Palo Alto Networks. >> Good afternoon guys and gals. We're so glad you're here with us. Welcome back to the MGM Grand, Las Vegas. This is day two of theCUBE's coverage of Palo Alto Networks Ignite22. Lisa Martin here with Dave Valante. Dave, as I mentioned, our second day of coverage. We've learned a lot about cybersecurity, the complexity, the challenges, but also the opportunities. We've had some great conversations, really dissecting some recent survey data. We know that every industry, no industry is immune from this but healthcare is one of the ones that's quite vulnerable. We're going to be talking about that next, in part. >> Yeah. Cause we always talk about the super cloud and connecting hybrid across clouds and you know, on-prem, but also now out to the edge. >> Yes. >> You know, and nobody wants a separate stove pipe, but we saw this during the pandemic. We saw the pivot, work from home, to end point and cloud security rearchitecting the network, identity and you know, more stove pipes. Right? So, but that's not what the industry wants or needs, so. >> Right. >> Yeah. >> Well I never would think about, you know you go to the doctor's office, you go to a hospital, X-ray machines, CT scanners, all these proliferation of medical IoT devices. Great for the patient, great for the providers, but a lot of opportunities for the attackers, as well. We're going to be talking about that, in part, in our next conversation with an alumni that's coming back to the program. Anand Oswal is here. The SVP and GM of network security at Palo Alto Networks. Great to have you back. >> Great to have me. Thank you. >> It's been a few years. >> Oswal: Yeah. It's been a time. >> So, I was looking at some of the unit 42 research: medical devices are the weakest link on the hospital network. >> Oswal: Yeah. >> But, so great for patient care, for doctors, providers, et cetera. But, a challenge and an opportunity for the adversaries. >> Oswal: Yeah. >> What are some of the things that you guys are seeing? I know you have some news on the medical IoT front. >> Yeah. Thanks for having me by the way. So, if you look at every industry has benefited from connected devices. Changes the outcome and the experiences, both for the end users, as well as the businesses. And healthcare is no different. If you look at the experience that we had as patients over the last decade has changed dramatically. And in the pandemic, even more changes happened, right? This is really ushering in a new era of patient care. It's connected devices. You know, I have a family member of mine who has diabetes. And, as you know, you got to check the blood glucose level periodically. It's usually pricking, it's cumbersome, it can hurt you. But now, with this new IoT based glucose margin systems, you can monitor these levels in real time, constantly. If it drops, can inject the right amount of insulins. So, changing the experience and the outcome for patients. Taking data from this devices to ensure that you have different outcomes. So, really, changing how you experience as patient. But, like you said, along with all of this is adding increased cybersecurity. Right? And we've seen over the last, I don't know, year or so, a 200% increase in cyber attacks on healthcare organizations. And, in the next couple of years, you're going to see 1.3 billion, yes, the "B," billion, new connected devices come to healthcare. So, that's including the attack surface. So, we've got to stay vigilant. There's a lot of great things you get from connected devices. It has cyber risk, just plan it properly. >> But, it's hard just to secure a medical IoT devices. Why is it so challenging? And how do you help? >> Yeah. Look, you can only secure what you see, first of all, right? So, it's very important to understand what devices you have on your network. And these can't be done statically, right? Because you're, they're made by different manufacturers and you're adding so many every day. So, you need to use machine learning to identify what these devices are. But just not what are devices, who's the manufacturer? What's the make, what's the model? What's the unpatched vulnerabilities? That's one part. I tell people that having visibility is good, but just that's not enough. It's like me telling you, you have a leak in your house. I don't give you any information on where the leak is. How do I call the plumber? What's the home warranty? Home insurance coverage? So you got visibility. Then you need to do segmentation. Segmentation all about who can talk to whom. Should your CT scan machine or MRI machine be talking to a server in the corporate environment? Should be talking to your point of sale terminal in the hospital? Maybe not. Right? So you need to define those policies. Again, those can be manual. They have to be automated because you're adding new devices every day. After you do that, it's around the data that is transporting on those devices. Do they have threats? Are they command controlled connections? Because threats can move laterally and need to inspect this in real time every day, constantly. Not just one time. Right? That's the whole notion of zero trust, which is no notion of implied trust. You want to have least privilege access. And the most important is that, look, we talked about this before. Majority of healthcare organizations have legacy security architectures. You can't have it solved better, the point product a new sensor, a partial solution. You need to get fully integrated because you need to reduce their operational cost. You need to ensure that they have better security. Right? I tell people what do organization want? Make more money, save money, and steer out trouble. Right? In simple ways. >> Valante: Yeah. >> I need to ensure that they're able to get this done securely. That's very important. >> So, a lot of the devices, so you think about oT, a lot of the devices been naturally air gaped. That was sort of the safety. What's it like in healthcare? Is the MRI machine, was it historically net-, you know, fenced off from the network and how is that changing? >> Yeah. I'll give an example. I talked to a customer, this is a few months ago. And this happened before the pandemic, luckily. They were doing, a doctor was doing a surgery on a patient at roughly two in the morning, on a, and using a ventilator. And guess what happened? The ventilator rebooted and said: firmware upgrading. >> Yeah. >> Right? >> Wow. >> And luckily when I doctor, their customer, they said they had another ventilator that they could quickly do. This ventilator was connected to an ethernet cable, in this case. And somebody decided that two AM is the right time to upgrade things. Like, you know, you have windows of when you upgrade things. But, you need to be able to manage a lifecycle of these devices more intelligently. When is it being used? When it's upgraded? There's a life of a device, and then there's a cyber life. Now we have too many devices with end of life operating systems. We all remember the 2017 WannaCry attack. That was an end of life operating system. So, you have a shelf life and you have a cyber life. Need to be able to manage the life cycle of these devices and easily onboard new devices, but also have, be able to sunset devices as needed. >> Okay. So the business generally stays ahead, you know, of cyber, but are those worlds coming together? I mean, I feel like with digital transformation we're beginning to see that everybody talks about, you know, cyber can't just be a bolt on. >> Oswal: Yes. >> But it oftentimes is. So what's the state of play in healthcare? >> I think it's changing. If you think about the healthcare organizations or generally even oT environments, the decision maker is not just the CIO and CISO, it's also your plant manager, the hospital owner, or manager of the operations of the hospital. They have to be taken into account. The other, the other stakeholders: the clinical and biomed engineer who operates these devices, right? I was talking to a healthcare customer that said that asset utilization or devices important. Many times you find nurses or doctors will keep an infusion pump with them in their room because they want easy to use. And then they say, I want five more or 10 more, right? We all living in an environment where budget will be more and more important. So how do you get a full inventory of what's using what, how often are they used? For example, MRI machines are many times preset for scanning certain parts of the body. Now you can change it, but it takes time. It's effort. So if you know the actual utilization of what you're doing, you can be more efficient and have a much more efficient organization. >> And so how do they do that? Is that some kind of predictive analytics that they're using? Is it... >> Yes. It's the whole lifecycle of a zero trust architecture. It is the whole lifecycle of managing these devices effectively and then simplifying your operations. The three things that we have to do. >> How can zero trust be really tailored to healthcare specifically? >> Yeah. Let me tell you, first of all, when I talk of zero trust, I have a simple way of talking about it. Which is no notion of implied trust, right? Just because I'm in an environment doesn't mean have access to a device and application, et cetera. And when we think of medical device, it's like, who's the user who's accessing it? How do you authenticate that user? And that can be the things the organization has: password, an MFA, et cetera. That's, that's good. That's not enough. If you're accessing some, if I authentic authenticated you from this device, but what if this device itself is infected with malware? So, I need to know that it's the state of your device. Then what are you trying to access? Medical records, healthcare records, you'd like permission sets to access it. Are they read only, write only? Do you have confidential information about it? And when you're exchanging this information, is there malware in that data? You need to do this on a continuous basis. So, user, endpoint, access, and transaction. These four constructs have to be done continuously. That's the whole notion of zero trust. >> So, okay. Cause you had, we were talking off camera, you said, you know, get, say ask somebody what zero trust is, you get 10 different answers. 10 people, 10 different answers. So, I always would used to think unless a device or a person has been explicitly authorized and authenticated, they don't get access. But, you just added something more. It also has to be clean essentially. >> Yes. >> Right? And you've got the technology to do that? >> Absolutely. And we can, if you think about it, we can do this across all facets, all use cases. If you think of traditional network security, right? It doesn't secure the network. Like I said, it secures everything on the network. The users, the IoT devices, and the applications they access. Now I can be in the office, I can be on the road, or I can be home. I may use different notions of stacks. I may use a hardware-centric firewall for accessing data center based applications in my private data center. I may use a software firewall application for accessing things in the public cloud. I may use a cloud deliver SASE architecture from home or for remote branches. I wanted consistent security. The way I do threat, the way I do phishing protection, ransomware protection, IoT security. It should be consistent no matter where the user is, no matter where the data is, no matter where the applications is. And that's really what we can do with a consistent platform approach. >> So on-prem. In... >> The cloud, yes. >> In all the clouds, at the edge. >> Yes. >> Not only healthcare, but operational technologies? The factory? >> You want to make sure that it's not only the best in class security, it's also consistent security and consistent manageability. Right? Which means that the experience I have as an admin, from day minus one to day n. And it can be for any use case I have, it could be for securing my applications in my private data center, my application is the public cloud, or remote access from home or remote branch. I want that consistent security. I want that consistent policy. So, what is the treatment for you, the user, when you are in the office, on the go, or somewhere else? You don't want different experience. >> Valante: Yeah. >> You want same experience. >> Right? That goes... >> It should be optimal. It can be slow, it can be like, it takes you a long time to access your application either. Cause all of us are, we spoiled, we want it right away. >> Yeah. It can't be a blocker to productivity. >> Exactly. >> I was looking at some of the unit 42 data about, just the, all the vulnerabilities in different machines. We talk about cyber resilience a lot. How and, as I mentioned, and I think even the survey that Palo Alto Networks released yesterday, "What's Next in Cyber", was even demonstrating healthcare being one of the most vulnerable. >> Yes. >> And we talk about, you know, it being one of the weakest links. How can Palo Alto Networks work with healthcare organizations, large and small, across the globe to help them really dial up cyber resilience. >> Oswal: Yeah. >> And start reducing the vulnerabilities that are there as device proliferation is just going to happen. >> Yeah, absolutely. I think you hit a very good point. We have data which says that 83% of imaging systems run end of life operating system stacks, right? And you remember in 2017, the WannaCry attack started with an end of life operating system device. Right? It affected 150 countries in the UK alone. 70,000 devices, 30,000 patient cancellations. We know that, if you think about infusion pumps, three out of four have unpatched vulnerabilities. Which means that you can patch it. But it's very hard for the biomed or clinical engineer to understand what to do and what not to do. Healthcare organization have lot of compliance requirements. Right? They have HIPAA compliance, they have other regulations. So, you need to make them audit ready: inventory of the devices, status of each device, make it audit ready, compliance ready. So, they're able to do what they do best in serving patients versus worrying about other things that they, that we can automate for themselves. Lastly, I'll say is that, you also want to simplify the operations of the health environment, right? Having more point products, more point solutions, that's solving only a certain aspect of what you do. Like only visibility, telling you have a leak, but not putting the end solution. Adds more and more complexity to organizations. >> So it's a different dynamic in this world, healthcare world, because you got to all these devices and they're not, you know, I think about Patch Tuesday, Right? I mean Microsoft's always putting out patches. And so, that tells the hackers, Hey, you know, go in on Wednesday. >> Yeah. >> And hack away. It's probably different in healthcare. They're probably not as frequent patches published or maybe there are, I don't know. I'll be curious as to whether they are. But I mean the, the device manufacturers, they're not, you know, the biggest software company in the world. >> Yeah. >> You know, so they're probably not as on top of it. >> Yeah. >> So I'm not saying it's better or worse, it's just a different environment. >> The patches to the end devices may not be as frequent, but patches that you can apply on from a security perspective on a security stack are like happening continuously in real time. The second things that you also want to ensure that the capabilities of your security product itself are able to stop attacks inline, in real time. For example, 95% of all malware in the world is MORF malware, which means it's variations of existing malware. You can stop this inline real time, right? Attackers are using more and more sophisticated techniques today, to evade traditional sand boxing techniques. So, you have to out-innovate them. And that's what we've done by all our cloud services. We move them very early on to the cloud to get the agility and scale that we get. But we invested a lot in machine learning and deep learning to stop these day-zero threats in line, real time. Attackers are using that window of opportunity, like you mentioned, between the time when a breach is announced or detected, and patched. And that breach could, that time window could be a minute. They're going to exploit that time. You want to reduce that to almost zero, which means that you need to stop it in line, in real time, continuously. >> So, take the sandbox example. >> Yeah. >> So, what do you say? So, if I'm doing a sandbox on-prem, one of the vulnerabilities is if my capacity is out of 10,000 files, they're just going to overwhelm me with a hundred thousand and then I'm going to be trying to figure out what's going on. And while I'm doing that, they're going to be sneaking in. And is that an example of... >> No. >> Valante: That you address because you're in the cloud, or...? >> Yeah, that's one. But, think about examples where attackers are devising malware, are creating malware that will basically evade traditional sand boxing techniques. So, if I do a memory lookup on the register, that malware will diffuse. It only detonates on an end user on a device or a database. So, now you need to do intelligent techniques. So, we built this, lot of infrastructure for intelligent realtime memory analysis to ensure that we are able to stay ahead of the competition. And we did that for phishing, we did that for command control connections, we did for software exploits, we did data for malware, for DNS. We're able to stop about 11 to 12 million additional phishing sites than anybody else. We're able to have our sand boxing more effective than anybody else. We're able to stop 26% more malicious sessions than others in the industry. >> Valante: Why? Architecture? >> Architecture. Couple of things. First, architecture. Second is that, through a lot of innovation that we've done in both machine learning and deep learning, to be able to look at unstructured data and be able to stop the attacks inline, real time. Think about it, the traditional way of doing URL filtering has always been to build a database of URLs in the world. And you categorize as URLs into groups of categories: news, adult. And then you say, what's my risk profile for each of these? And you put a score and you say, I want to have this tolerance. That doesn't work anymore. The reason is because attackers are sophisticated. Websites come in, up and down, in seconds. Before I build a database, it's gone. I can't do this old way of doing things, signature and databases. I've got to use the power of machine learning. I've got to use the power of deep learning and data. >> And it's, are healthcare leaders, do they have an appetite for that? >> I think healthcare data looking for outcomes. They're looking, when I talk to healthcare professionals, they want to basically do what they do best. Serve patients, right? Give them optimal care. They want someone to take care of all these things holistically, end to end. Simplify all the things that they have to do from a compliance perspective, architectural perspective, reduce their cost, give them a better outcome. That's what they want. >> It's all about outcomes. >> Oswal: It's all about outcomes. >> And we know you cover much more than healthcare, but we obviously used most of our time on that. It's such an interesting, fascinating industry. Obviously, a lot of opportunities there for organizations to work with companies like Palo Alto to really dial up their cyber resilience. >> Absolutely. >> And ultimately, to your point, deliver the outcomes that they are there to do. >> Absolutely, yes. >> We'll have to have you back cause we just, I feel like we just scratched the surface. Right? >> Oswal: Happy to come back. >> Valante: Thank you. >> Oswal: Thank you. >> Awesome. >> Oswal: Thank you so much. >> Our pleasure to have you on the program. For Anand Oswald and Dave Valante, I'm Lisa Martin. You're watching theCUBE, the leader in live and emerging tech coverage. [Pedantic Music Fades]
SUMMARY :
brought to you by Palo Alto Networks. but healthcare is one of the talk about the super cloud We saw the pivot, work from home, Great to have you back. Great to have me. of the unit 42 research: opportunity for the adversaries. I know you have some news And in the pandemic, even And how do you help? And the most important is that, look, I need to ensure that So, a lot of the devices, I talked to a customer, of when you upgrade things. generally stays ahead, you know, But it oftentimes is. or manager of the And so how do they do that? It is the whole lifecycle of managing And that can be the things It also has to be clean essentially. I can be on the road, or I can be home. So on-prem. Which means that the Right? a long time to access blocker to productivity. of the unit 42 data about, across the globe to And start reducing the aspect of what you do. And so, that tells the hackers, they're not, you know, You know, so they're it's just a different environment. that you need to stop it So, what do you say? because you're in the cloud, ahead of the competition. database of URLs in the world. that they have to do And we know you cover deliver the outcomes that scratched the surface. the leader in live and
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Hitachi Vantara Drives Customer Success with Partners
>>Partnerships in the technology business, they take many forms. For example, technology engineering partnerships, they drive value in terms of things like integration and simplification for customers. There are product partnerships. They fill gaps to create more comprehensive portfolios and more fluid relationships. Partner ecosystems offer high touch services. They offer managed services, specialty services, and other types of value based off of strong customer knowledge and years of built up trust partner. Ecosystems have evolved quite dramatically over the last decade with the explosion of data and the popularity of cloud models. Public, private, hybrid cross clouds. You know, yes it's true. Partnerships are about selling solutions, but they're also about building long term sustainable trust, where a seller learns the ins and outs of a customer's organization and can anticipate needs that are gonna drive bottom line profits for both sides of the equation, the buyer and the seller. >>Hello and welcome to our program. My name is Dave Ante and along with Lisa Martin, we're going to explore how Hitachi Van Tara drives customer success with its partners. First up, Lisa speaks with Kim King. She's the senior vice president of Strategic Partners and Alliances at Hitachi Van. And they'll set the table for us with an overview of how Hitachi is working with partners and where their priorities are focused. Then Russell Kingsley, he's the CTO and global VP of Technical sales at Hitachi Van Tara. He joins Lisa for a discussion of the tech and they're gonna get into cloud generally and hybrid cloud specifically in the role that partners play in the growing as a service movement. Now, after that I'll talk with Tom Christensen, he's the global technology advisor and executive analyst at Hitachi Vitara. And we're gonna talk about a really important topic, sustainability. We're gonna discuss where it came from, why it matters, and how it can drive bottom line profitability for both customers and partners. Let's get right to it. >>Where for the data driven, for those who understand clarity is currency. Believe progress requires precision and no neutral is not an option. We're for the data driven. The ones who can't tolerate failure, who won't put up with downtime or allow access to just anyone. We're for the data driven who act on insight instead of instinct. Bank on privacy instead of probabilities and rely on resilience instead of reaction. We see ourselves in the obsessive, the incessant, progressive, and the meticulously engineered. We enable the incredible identify with the analytical and are synonymous with the mission critical. We know what it means to be data driven because data is in our dna. We were born industrial and and we breathe digital. We speak predictive analytics so you can keep supply chains moving. We bleed in store and online insights so you can accurately predict customer preferences. We sweat security and digital privacy so you can turn complex regulations into competitive advantage. We break down barriers and eliminate silos. So you can go from data rich to data driven because it's clear the future belongs to the data driven. >>Hey everyone, welcome to this conversation. Lisa Martin here with Kim King, the SVP of Strategic Partners and Alliances at Hitachi Ventera. Kim, it's great to have you on the program. Thank you so much for joining me today. >>Thanks Lisa. It's great to be here. >>Let's talk about, so as we know, we talk about cloud all the time, the landscape, the cloud infrastructure landscape increasingly getting more and more complex. What are some of the biggest challenges and pain points that you're hearing from customers today? >>Yeah, so lot. There are lots, but I would say the, the few that we hear consistently are cost the complexity, right? Really the complexity of where do they go, how do they do it, and then availability. They have a lot of available options, but again, going back to complexity and cost, where do they think that they should move and how, how do they make that a successful move to the cloud? >>So talk to me, Hitachi Ventura has a great partner ecosystem. Where do partners play a role in helping customers to address some of the challenges with respect to the cloud landscape? >>Yeah, so part, our partners are really leading the way in the area of cloud in terms of helping customers understand the complexities of the cloud. As we talked about, they're truly the trusted advisor. So when they look at a customer's complete infrastructure, what are the workloads, what are the CRI critical applications that they work with? What's the unique architecture that they have to drive with that customer for a successful outcome and help them architect that? And so partners are truly leading the way across the board, understanding the complexities of each individual customer and then helping them make the right decisions with and for them. And then bringing us along as part of that, >>Talk to me a little bit about the partner landscape, the partner ecosystem at Hitachi Ventura. How does this fit into the overall strategy for the company? >>So we really look at our ecosystem as an extension of our sales organization and and really extension across the board, I would say our goal is to marry the right customer with the right partner and help them achieve their goals, ensure that they keep costs in check, that they ensure they don't have any security concerns, and that they have availability for the solutions and applications that they're trying to move to the cloud, which is most important. So we really, we really look at our ecosystem as a specialty ecosystem that adds high value for the right customers. >>So Kim, talk to me about how partners fit into Hitachi van's overall strategy. >>So I think our biggest differentiators with partners is that they're not just another number. Our partner organization is that valued extension of our overall sales pre-sales services organization. And we treat them like an extension of our organization. It's funny because I was just on a call with an analyst earlier this week and they said that AWS has increased their number of partners to 150,000 partners from, it was just under a hundred thousand. And I'm really not sure how you provide quality engagement to partners, right? And is how is that really a sustainable strategy? So for us, we look at trusted engagement across the ecosystem as a def differentiation. Really our goal is to make their life simple and profitable and really become their primary trusted partner when we go to market with them. And we see that paying dividends with our partners as they engage with us and as they expand and grow across the segments and then grow globally with us as well. >>And that's key, right? That synergistic approach when you're in customer conversations, what do you articulate as the key competitive differentiators where it relates to your partners? >>So really the, that they're the trusted advisor for that partner, right? That they understand our solutions better than any solution out there. And because we're not trying to be all things to our customers and our partners that we being bring best breaths of breed, best of breed solutions to our customers through our partner community, they can truly provide that end user experience and the successful outcome that's needed without, you know, sort of all kinds of, you know, crazy cha challenges, right? When you look at it, they really wanna make sure that they're driving that co-developed solution and the successful outcome for that customer. >>So then how do you feel that Hitachi Ventura helps partners really to grow and expand their own business? >>Wow, so that's, there's tons of ways, but we've, we've created a very simplified, what we call digital selling platform. And in that digital selling platform, we have allowed our partners to choose their own price and pre-approve their pricing and their promotions. They've actually, we've expanded the way we go to market with our partners from a sort of a technical capabilities. We give them online what we call Hitachi online labs that allow them to really leverage all of the solutions and demo systems out there today. And they have complete access to any one of our resources, product management. And so we really have, like I said, we actually provide our partners with better tools and resources sometimes than we do our own sales and pre-sales organization. So we, we look at them as, because they have so many other solutions out there that we have to be one step ahead of everybody else to give them that solution capability and the expertise that they need for their customers. >>So if you dig in, where is it that Hiti is helping partners succeed with your portfolio? >>Wow. So I think just across the board, I think we're really driving that profitable, trusted, and simplified engagement with our partner community because it's a value base and ease of doing business. I say that we allow them to scale and drive that sort of double digit growth through all of the solutions and and offerings that we have today. And because we've taken the approach of a very complex technical sort of infrastructure from a high end perspective and scale it all the way through to our mid-size enterprise, that allows them to really enter any customer at any vertical and provide them a really quality solution with that 100% data availability guarantee that we provide all of our customers. >>So then if we look at the overall sales cycle and the engagement, where is it that you're helping cus your partners rather succeed with the portfolio? >>Say that again? Sorry, my brain broke. No, >>No worries. So if we look at the overall sales cycle, where is it specifically where you're helping customers to succeed with the portfolio? >>So from the sales cycle, I think because we have the, a solution that is simple, easy, and really scaled for the type of customer that we have out there, it allows them to basically right size their infrastructure based on the application, the workload, the quality or the need that application may have and ensure that we provide them with that best solution. >>So then from a partner's perspective, how is it that Hitachi van is helping them to actually close deals faster? >>Yeah, so lots of great ways I think between our pre-sales organization that's on call and available a hundred percent of the time, I think that we've seen, again, the trusted engagement with them from a pricing and packaging perspective. You know, we, you know, two years ago it would take them two to three weeks to get a pre-approved quote where today they preapproved their own quotes in less than an hour and can have that in the hands of a customer. So we've seen that the ability for our partners to create and close orders in very short periods of time and actually get to the customer's needs very quickly, >>So dramatically faster. Yes. Talk about overall, so the partner relationship's quite strong, very synergistic that, that Hitachi Ventura has with its customers. Let's kind of step back out and look at the cloud infrastructure. How do you see it evolving the market evolving overall in say the next six months, 12 months? >>Yeah, so we see it significantly, we've been doing a lot of studies around this specifically. So we have a couple of different teams. We have our sort of our standard partner team that's out there and now we have a specialty cloud service provider team that really focuses on partners that are building and their own infrastructure or leveraging the infrastructure of a large hyperscaler or another GSI and selling that out. And then what we found is when we dig down deeper into our standard sort of partner reseller or value added reseller market, what we're seeing is that they are want to have the capability to resell the solution, but they don't necessarily wanna have to own and manage the infrastructure themselves. So we're helping both of them through that transition. We see that it's gonna, so it's funny cuz you're seeing a combination of many customers move to really the hyperscale or public cloud and many of them want to repatriate their infrastructure back because they see costs and they see challenges around all of that. And so our partners are helping them understand, again, what is the best solution for them as opposed to let's just throw everything in the public cloud and hope that it works. We're we're really helping them make the right choices and decisions and we're putting the right partners together to make that happen. >>And how was that feedback, that data helping you to really grow and expand the partner program as a whole? >>Yeah, so it's been fantastic. We have a whole methodology that we, we created, which is called PDM plan, develop monetize with partners. And so we went specifically to market with cloud service providers that'll, and we really tested this out with them. We didn't just take a solution and say, here, go sell it, good luck and have, you know, have a nice day. Many vendors are doing that to their partners and the partners are struggling to monetize those solutions. So we spend a lot of time upfront planning with them what is not only the storage infrastructure but your potentially your data resiliency and, and everything else that you're looking at your security solutions. How do we package those all together? How do we help you monetize them? And then who do you target from a customer perspective so that they've built up a pipeline of opportunities that they can go and work with us on and we really sit side by side with them in a co-development environment. >>In terms of that side by side relationship, how does the partner ecosystem play a role in Hitachi Venturas as a service business? >>So our primary go to market with our, as a service business is with and through partners. So our goal is to drive all, almost all of of our as a service. Unless it's super highly complex and something that a partner cannot support, we will make sure that they really, we leverage that with them with all of our partners. >>So strong partner relationships, very strong partner ecosystem. What would you say, Kim, are the priorities for the partner ecosystem going forward? The next say year? >>Yeah, so we have tons of priorities, right? I think really it's double digit growth for them and for us and understanding how a simpler approach that's customized for the specific vertical or customer base or go to market that they have that helps them quickly navigate to be successful. Our goal is always to facilitate trusted engagements with our partners, right? And then really, as I said, directionally our goal is to be 95 to a hundred percent of all of our business through partners, which helps customers and then really use that trusted advisor status they have to provide that value base to the customer. And then going back on our core tenants, which are, you know, really a trusted, simplified, profitable engagement with our partner community that allows them to really drive successful outcomes and go to market with us. And the end users >>Trust is such an important word, we can't underutilize it in these conversations. Last question. Sure. From a channel business perspective, what are some of the priorities coming down the pi? >>Oh, again, my biggest priority right, is always to increase the number of partner success stories that we have and increase the value to our partners. So we really dig in, we, we right now sit about number one or number two in, in our space with our partners in ease of doing business and value to our channel community. We wanna be number one across the board, right? Our goal is to make sure that our partner community is successful and that they really have those profitable engagements and that we're globally working with them to drive that engagement and, and help them build more profitable businesses. And so we just take tons of feedback from our partners regularly to help them understand, but we, we act on it very quickly so that we can make sure we incorporate that into our new program and our go to markets as we roll out every year. >>It sounds like a great flywheel of communications from the partners. Kim, thank you so much for joining me today talking about what Hitachi Vanta is doing with its partner ecosystem, the value in IT for customers. We appreciate your insights. >>Thank you very much. >>Up next, Russell Kingsley joins me, TTO and global VP of technical sales at Hitachi van you watch in the cube, the leader in live tech coverage. Hey everyone, welcome back to our conversation with Hitachi van Tara, Lisa Martin here with Russell Skillings Lee, the CTO and global VP of technical sales at Hitachi Van Russell. Welcome to the program. >>Hi Lisa, nice to be here. >>Yeah, great to have you. So here we are, the end of calendar year 2022. What are some of the things that you're hearing out in the field in terms of customers priorities for 2023? >>Yeah, good one. Just to, to set the scene here, we tend to deal with enterprises that have mission critical IT environments and this has been been our heritage and continues to be our major strength. So just to set the scene here, that's the type of customers predominantly I'd be hearing from. And so that's what you're gonna hear about here. Now, in terms of 20 23, 1 of the, the macro concerns that's hitting almost all of our customers right now, as you can probably appreciate is power consumption. And closely related to that is the whole area of ESG and decarbonization and all of that sort of thing. And I'm not gonna spend a lot of time on that one because that would be a whole session in itself really, but sufficient to say it is a priority for us and we, we are very active in, in that area. >>So aside from from that one that that big one, there's also a couple that are pretty much in common for most of our customers and, and we're in areas that we can help. One of those is in an exponential growth of the amount of data. It's, it's predicted that the world's data is going to triple by 2025 as opposed to where it was in 2020. And I think everyone's contributing to that, including a lot of our customers. So just the, the act of managing that amount of data is, is a challenge in itself. And I think closely related to that, a desire to use that data better to be able to gain more business insights and potentially create new business outcomes and business ideas are, is another one of those big challenges in, in that sense, I think a lot of our customers are in what I would kind of call, I affectionately call the, the post Facebook awakening era. >>And that, and what I mean by that is our traditional businesses, you know, when Facebook came along, they kind of illustrated, hey, I can actually make some use out of what is seemingly an enormous amount of useless data, which is exactly what Facebook did. They took a whole lot of people's Yeah. The minutia of people's lives and turned it into, you know, advertising revenue by gaining insights from, from those, you know, sort of seemingly useless bits of data and, you know, right. And I think this actually gave rise to a lot of digital business at that time. You know, the, this whole idea of what all you really need to be successful and disrupt the business is, you know, a great idea, you know, an app and a whole bunch of data to, to power it. And I think that a lot of our traditional customers are looking at this and wondering how do they get into the act? Because they've been collecting data for decades, an enormous amount of data, right? >>Yes. I mean, every company these days has to be a data company, but to your point, they've gotta be able to extract those insights, monetize it, and create real value new opportunities for the business at record speed. >>Yes, that's exactly right. And so being able to, to wield that data somehow turn it, it kind of turns out our customer's attentions to the type of infrastructure they've got as well. I mean, if you think about those, those companies that have been really successful in leveraging that data, a lot of them have, especially in the early days, leverage the cloud to be able to build out their capabilities. And, and the reason why the cloud became such a pivotal part of that is because it offered self-service. IT and, you know, easy development platforms to those people that had these great ideas. All they needed was access to, to, you know, the provider's website and a credit card. And now all of a sudden they could start to build a business from that. And I think a lot of our traditional IT customers are looking at this and thinking, now how do I build a similar sort of infrastructure? How do I, how do I provide that kind of self-service capability to the owners of business inside my company rather than the IT company sort of being a gatekeeper to a selected set of software packages. How now do I provide this development platform for those internal users? And I think this, this is why really hybrid cloud has become the defacto IT sort of architectural standard, even even for quite traditional, you know, IT companies. >>So when it comes to hybrid cloud, what are some of the challenges the customers are facing? And then I know Hitachi has a great partner ecosystem. How are partners helping Hitachi Ventura and its customers to eliminate or solve some of those hybrid cloud challenges? >>Yeah, it's, it, it's a great question and you know, it's, it's not 1975 anymore. It's not, it's not like you're going to get all of your IT needs from, from one, from one vendor hybrid by sort of, it's, you know, by definition is going to involve multiple pieces. And so there basically is no hybrid at all without a partner ecosystem. You really can't get everything at, at a one stop shop like you used to. But even if you think about the biggest public cloud provider on the planet, aws even, it has a marketplace for partner solutions. So, so even they see, even for customers that might consider themselves to be all in on public cloud, they are still going to need other pieces, which is where their marketplace come comes in. Now for, for us, you know, we are, we're a company that, we've been in the IT business for over 60 years, one of one of the few that could claim that sort of heritage. >>And you know, we've seen a lot of this type of change ourselves, this change of attitude from being able to provide everything yourself to being someone who contributes to an overall ecosystem. So partners are absolutely essential. And so now we kind of have a, a partner first philosophy when it comes to our routes to market on, you know, not just our own products in terms of, you know, a resale channel or whatever, but also making sure that we are working with some of the biggest players in hybrid infrastructure and determining where we can add value to that in our, in our own solutions. And so, you know, when it comes to those, those partner ecosystems, we're always looking for the spaces where we can best add our own capability to those prevailing IT architectures that are successful in the marketplace. And, you know, I think that it's probably fair to say, you know, for us, first and foremost, we, we have a reputation for having the biggest, most reliable storage infrastructure available on the planet. >>And, and we make no apologies for the fact that we tout our speeds and feeds and uptime supremacy. You know, a lot of our, a lot of our competitors would suggest that, hey, speeds and feeds don't matter. But you know, that's kind of what you say when, when you're not the fastest or not the most reliable, you know, of course they matter. And for us, what we, the way that we look at this is we say, let's look at who's providing the best possible hybrid solutions and let's partner with them to make those solutions even better. That's the way we look at it. >>Can you peel the, the onion a little bit on the technology underpinning the solutions, give a glimpse into that and then maybe add some color in terms of how partners are enhancing that? >>Yeah, let me, let me do that with a few examples here, and maybe what I can do is I can sort of share some insight about the way we think with partnering with, with particular people and why it's a good blend or why we see that technologically it's a good blend. So for example, the work we do with VMware, which we consider to be one of our most important hybrid cloud partners and in, and in fact it's, it's my belief, they have one of the strongest hybrid cloud stories in the industry. It resonates really strongly with, with our customers as well. But you know, we think it's made so much better with the robust underpinnings that we provide. We're one of the, one of the few storage vendors that provides a 100% data availability guarantee. So we, we take that sort of level of reliability and we add other aspects like life cycle management of the underpinning infrastructure. >>We combine that with what VMware's doing, and then when you look at our converged or hyper-converged solutions with them, it's a better together story where you now have what is one of the best hybrid cloud stories in the industry with VMware. But now for the on premise part, especially, you've now added a hundred percent data, data availability guarantee, and you've made managing the underlying infrastructure so much easier through the tools that we provide that go down to that level A level underneath where VMware are. And so that's, that's VMware. I've got a couple, couple more examples just to sort of fill, fill that out a bit. Sure. Cisco is another part, very strong partner of ours, a key partner. And I mean, you look at Cisco, they're a 50 billion IT provider and they don't have a dedicated storage infrastructure of their own. So they're going to partner with someone. >>From our perspective, we look at Cisco's, Cisco's customers and we look at them and think they're very similar to our own in terms of they're known to appreciate performance and reliability and a bit of premium in quality, and we think we match them them quite well. They're already buying what we believe are the best converge platforms in the industry from Cisco. So it makes sense that those customers would want to compliment that investment with the best array, best storage array they can get. And so we think we are helping Cisco's customers make the most of their decision to be ucs customers. Final one for, for you, Lisa, by way of example, we have a relationship with, with Equinix and you know, Equinix is the world's sort of leading colo provider. And the way I think they like to think of themselves, and I too tend to agree with them, is their, they're one of the most compelling high-speed interconnect networks in the world. >>They're connected to all of the, the, the significant cloud providers in most of the locations around the world. We have a, a relationship with them where we find we have customers in common who really love the idea of compute from the cloud. Compute from the cloud is great because compute is something that you are doing for a set period of time and then it's over you. Like you have a task, you do some compute, it's done. Cloud is beautiful for that. Storage on the other hand is very long lived storage doesn't tend to operate in that same sort of way. It sort of just becomes a bigger and bigger blob over time. And so the cost model around public cloud and storage is not as compelling as it is for compute. And so our, with our relationship with Equinix, we help our customers to be able to create, let's call it a, a data anchor point where they put our arrays into, into an Equinix location, and then they utilize Equinix as high speeding interconnects to the, to the cloud providers, okay. To take the compute from them. So they take the compute from the cloud providers and they own their own storage, and in this way they feel like we've now got the best of all worlds. Right. What I hope that illustrates Lisa is with those three examples is we are always looking for ways to find our key advantages with any given, you know, alliance partners advantages, >>Right? What are, when you're in customer conversations, and our final few minutes here, I wanna get, what are some of the key differentiators that you talk about when you're in customer conversations, and then how does the partner ecosystem fit into Hitachi vans as a service business? We'll start with differentiators and then let's move into the as service business so we can round out with that. >>Okay. Let's start with the differentiators. Yeah. Firstly and I, and hopefully I've kind of, I've hit this point hard, hard enough. We do believe that we have the fastest and most reliable storage infrastructure on the planet. This is kind of what we are known for, and customers that are working with us already sort of have an appreciation for that. And so they're looking for, okay, you've got that now, how can you make my hybrid cloud aspirations better? So we do have that as a fundamental, right? So, but secondly I'd say, I think it's also because we go beyond just storage management and, and into the areas of data management. You know, we've got, we've got solutions that are not just about storing the bits. We do think that we do that very well, but we also have solutions that move into the areas of enrichment, of the data, cataloging of the data, classification of the data, and most importantly, analytics. >>So, you know, we, we think it's, some of our competitors just stop at storing stuff and some of our competitors are in the analytics space, but we feel that we can bridge that. And we think that that's a, that's a competitive advantage for us. One of the other areas that I think is key for us as well is, as I said, we're one of the few vendors who've been in the marketplace for 60 years and we think this, this, this gives us a more nuanced perspective about things. There are many things in the industry, trends that have happened over time where we feel we've seen this kind of thing before and I think we will see it again. But you only really get that perspective if you are, if you are long lived in the industry. And so we believe that our conversations with our customers bear a little bit more sophistication. It's not just, it's not just about what's the latest and greatest trends. >>Right. We've got about one minute left. Can you, can you round us out with how the partner ecosystem is playing a role in the as service business? >>They're absolutely pivotal in that, you know, we, we ourselves don't own data centers, right? So we don't provide our own cloud services out. So we are 100% partner focused when it comes to that aspect. Our formula is to help partners build their cloud services with our solutions and then onsell them to their customers as as as a service. You know, and by what quick way of example, VMware for example, they've got nearly 5,000 partners selling VMware cloud services. 5,000 blows me away. And many of them are our partners too. So we kind of see this as a virtuous cycle. We've got product, we've got an an alliance with VMware and we work together with partners in common for the delivery of an as a service business. >>Got it. So the, as you said, the partner ecosystem is absolutely pivotal. Russell, it's been a pleasure having you on the program talking about all things hybrid cloud challenges, how Hitachi van is working with its partner ecosystems to really help customers across industries solve those big problems. We really appreciate your insights and your time. >>Thank you very much, Lisa. It's been great. >>Yeah, yeah. For Russell Stingley, I'm Lisa Martin. In a moment we're gonna continue our conversation with Tom Christensen. Stay tuned. >>Sulfur Royal has always embraced digital technology. We were amongst the first hospitals in the UK to install a full electronic patient record system. Unfortunately, as a result of being a pioneer, we often find that there's gaps in the digital solutions. My involvement has been from the very start of this program, a group of us got together to discuss what the problems actually were in the hospital and how we could solve this. >>The digital control center is an innovation that's been designed in partnership between ourselves, anti touch, and it's designed to bring all of the information that is really critical for delivering effective and high quality patient care. Together the DCC is designed not only to improve the lives of patients, but also of our staff giving us information that our demand is going to increase in the number of patients needing support. The technology that we're building can be replicated across sulfur, the NCA, and the wider nhs, including social care and community services. Because it brings all of that information that is essential for delivering high quality efficient care. >>The DCC will save time for both staff and more importantly our patients. It will leave clinicians to care for patients rather than administrate systems and it will allow the system that I work with within the patient flow team to effectively and safely place patients in clinically appropriate environments. >>But we chose to partner with Hitachi to deliver the DCC here at Sulfur. They were willing to work with us to co-produce and design a product that really would work within the environment that we find ourselves in a hospital, in a community setting, in a social care setting. >>My hopes for the DCC is that ultimately we will provide more efficient and reliable care for our patients. >>I do believe the digital control center will improve the lives of staff and also the patients so that we can then start to deliver the real change that's needed for patient care. >>Okay, we're back with Tom Christensen, who's the global technology advisor and executive analyst at Hitachi Van Tara. And we're exploring how Hitachi Van Tower drives customer success specifically with partners. You know Tom, it's funny, back in the early part of the last decade, there was this big push around, remember it was called green it and then the oh 7 0 8 financial crisis sort of put that on the back burner. But sustainability is back and it seems to be emerging as a mega trend in in it is, are you seeing this, is it same wine new label? How real is this trend and where's the pressure coming from? >>Well, we clearly see that sustainability is a mega trend in the IT sector. And when we talk to CIOs or senior IT leaders or simply just invite them in for a round table on this topic, they all tell us that they get the pressure from three different angles. The first one is really end consumers and end consumers. Nowaday are beginning to ask questions about the green profile and what are the company doing for the environment. And this one here is both private and public companies as well. The second pressure that we see is coming from the government. The government thinks that companies are not moving fast enough so they want to put laws in that are forcing companies to move faster. And we see that in Germany as an example, where they are giving a law into enterprise companies to following human rights and sustainability tree levels back in the supply chain. >>But we also see that in EU they are talking about a new law that they want to put into action and that one will replicate to 27 countries in Europe. But this one is not only Europe, it's the rest of the world where governments are talking about forcing companies to move faster than we have done in the past. So we see two types of pressure coming in and at the same time, this one here starts off at the CEO at a company because they want to have the competitive edge and be able to be relevant in the market. And for that reason they're beginning to put KPIs on themself as the ceo, but they're also hiring sustainability officers with sustainability KPIs. And when that happens it replicates down in the organization and we can now see that some CIOs, they have a kpi, others are indirectly measured. >>So we see direct and indirect. The same with CFOs and other C levels. They all get measured on it. And for that reason it replicates down to IT people. And that's what they tell us on these round table. I get that pressure every day, every week, every quarter. But where is the pressure coming from? Well the pressure is coming from in consumers and new laws that are put into action that force companies to think differently and have focus on their green profile and doing something good for the environment. So those are the tree pressures that we see. But when we talk to CFOs as an example, we are beginning to see that they have a new store system where they put out request for proposal and this one is in about 58% of all request for proposal that we receive that they are asking for our sustainability take, what are you doing as a vendor? >>And in their score system cost has the highest priority and number two is sustainability. It waits about 15, 20 to 25% when they look at your proposal that you submit to a cfo. But in some cases the CFO say, I don't even know where the pressure is coming from. I'm asked to do it. Or they're asked to do it because end consumers laws and so on are forcing them to do it. But I would answer, yeah, sustainability has become a make trend this year and it's even growing faster and faster every month we move forward. >>Yeah, Tom, it feels like it's here to stay this time. And your point about public policy is right on, we saw the EU leading with privacy and GDPR and it looks like it's gonna lead again here. You know, just shifting gears, I've been to a number of Hitachi facilities in my day. OWA is my favorite because on a clear day you can see Mount Fuji, but other plants I've been to as well. What does Hitachi do in the production facility to reduce CO2 emissions? >>Yeah, I think you're hitting a good point here. So what we have, we have a, a facility in Japan and we have one in Europe and we have one in America as well to keep our production close to our customers and reduced transportation for the factory out to our customers. But you know, in the, in the, in the May region back in 2020 13, we created a new factory. And when we did that we were asked to do it in an energy, energy neutral way, which means that we are moving from being powered by black energy to green energy in that factory. And we build a factory with concrete walls that were extremely thick to make it cold in the summertime and hot in the winter time with minimum energy consumption. But we also put 17,000 square meters of solar panel on the roof to power that factory. >>We were collecting rain waters to flush it in the toilet. We were removing light bulbs with L E D and when we sent out our equipment to our customers, we put it in a, instead of sending out 25 packages to a customer, we want to reduce the waste as much as possible. And you know, this one was pretty new back in 2013. It was actually the biggest project in EA at that time. I will say if you want to build a factory today, that's the way you are going to do it. But it has a huge impact for us when electricity is going up and price and oil and gas prices are coming up. We are running with energy neutral in our facility, which is a big benefit for us going forward. But it is also a competitive advantage to be able to explain what we have been doing the last eight, nine years in that factory. We are actually walking to talk and we make that decision even though it was a really hard decision to do back in 2013, when you do decisions like this one here, the return of investment is not coming the first couple of years. It's something that comes far out in the future. But right now we are beginning to see the benefit of the decision we made back in 2013. >>I wanna come back to the economics, but before I do, I wanna pick up on something you just said because you know, you hear the slogan sustainability by design. A lot of people might think okay, that's just a marketing slogan, slogan to vector in into this mega trend, but it sounds like it's something that you've been working on for quite some time. Based on your last comments, can you add some color to that? >>Yeah, so you know, the factory is just one example of what you need to do to reduce the CO2 emission and that part of the life of a a product. The other one is really innovating new technology to drive down the CO2 emission. And here we are laser focused on what we call decarbonization by design. And this one is something that we have done the last eight years, so this is far from you for us. So between each generation of products that we have put out over the last eight years, we've been able to reduce the CO2 emission by up to 30 to 60% between each generation of products that we have put into the market. So we are laser focused on driving that one down, but we are far from done, we still got eight years before we hit our first target net zero in 2030. So we got a roadmap where we want to achieve even more with new technology. At its core, it is a technology innovator and our answers to reduce the CO2 emission and the decarbonization of a data center is going to be through innovating new technology because it has the speed, the scale, and the impact to make it possible to reach your sustainability objectives going forward. >>How about recycling? You know, where does that fit? I mean, the other day it was, you know, a lot of times at a hotel, you know, you used to get bottled water, now you get, you know, plant based, you know, waters in a box and, and so we are seeing it all around us. But for a manufacturer of your size, recycling and circular economy, how does that fit into your plans? >>Yeah, let me try to explain what we are doing here. Cause one thing is how you produce it. Another thing is how you innovate all that new technology, but you also need to combine that with service and software, otherwise you won't get the full benefit. So what we are doing here, when it comes to exploring circular economics, it's kind of where we have an eternity mindset. We want to see if it is possible to get nothing out to the landfill. This is the aim that we are looking at. So when you buy a product today, you get an option to keep it in your data center for up to 10 years. But what we wanna do when you keep it for 10 years is to upgrade only parts of the system. So let's say that you need more CBU power, use your switch the controller to next generation controller and you get more CPU power in your storage system to keep it those 10 years. >>But you can also expand with new this media flash media, even media that doesn't exist today will be supported over those 10 years. You can change your protocol in the, in the front end of your system to have new protocols and connect to your server environment with the latest and greatest technology. See, the benefit here is that you don't have to put your system into a truck and a recycle process after three years, four years, five years, you can actually postpone that one for 10 years. And this one is reducing the emission again. But once we take it back, you put it on the truck and we take it into our recycling facility. And here we take our own equipment like compute network and switches, but we also take competitor equipment in and we recycle as much as we can. In many cases, it's only 1% that goes to the landfill or 2% that goes to the landfill. >>The remaining material will go into new products either in our cycle or in other parts of the electronic industry. So it will be reused for other products. So when we look at what we've been doing for many years, that has been linear economics where you buy material, you make your product, you put it into production, and it goes into land feed afterwards. The recycling economics, it's really, you buy material, you make your product, you put it into production, and you recycle as much as possible. The remaining part will go into the landfill. But where we are right now is exploring circle economics where you actually buy material, make it, put it into production, and you reuse as much as you can. And only one 2% is going into the landfill right now. So we have come along and we honestly believe that the circular economics is the new economics going forward for many industries in the world. >>Yeah. And that addresses some of the things that we were talking about earlier about sustainability by design, you have to design that so that you can take advantage of that circular economy. I, I do wanna come back to the economics because, you know, in the early days of so-called green, it, there was a lot of talk about, well, I, I, I'll never be able to lower the power bill. And the facilities people don't talk to the IT people. And that's changed. So explain why sustainability is good business, not just an expense item, but can really drive bottom line profitability. I, I understand it's gonna take some time, but, but help us understand your experience there, Tom. >>Yeah, let me try to explain that one. You know, you often get the question about sustainability. Isn't that a cost? I mean, how much does it cost to get that green profile? But you know, in reality when you do a deep dive into the data center, you realize that sustainability is a cost saving activity. And this one is quite interesting. And we have now done more than 1,200 data center assessment around the world where we have looked at data centers. And let me give you just an average number from a global bank that we work with. And this one is, it is not different from all the other cases that we are doing. So when we look at the storage area, what we can do on the electricity by moving an old legacy data center into a new modernized infrastructure is to reduce the electricity by 96%. >>This is a very high number and a lot of money that you save, but the CO2 mission is reduced by 96% as well. The floor space can go up to 35% reduction as well. When we move down to the compute part, we are talking about 61% reduction in electricity on the compute part just by moving from legacy to new modern infrastructure and 61% on the CO2 emission as well. And see this one here is quite interesting because you save electricity and you and you do something really good for the environment. At the same time, in this case I'm talking about here, the customer was paying 2.5 million US dollar annually and by just modernizing that infrastructure, we could bring it down to 1.1 million. This is 1.4 million savings straight into your pocket and you can start the next activity here looking at moving from virtual machine to containers. Containers only use 10% of the CPU resources compared to a virtual machine. Move up to the application layer. If you have that kind of capability in your organization, modernizing your application with sustainability by design and you can reduce the C, the CO2 emission by up to 50%. There's so much we can do in that data center, but we often start at the infrastructure first and then we move up in the chain and we give customers benefit in all these different layers. >>Yeah, A big theme of this program today is what you guys are doing with partners do, are partners aware of this in your view? Are they in tune with it? Are they demanding it? What message would you like to give the channel partners, resellers and, and distributors who may be watching? >>So the way to look at it is that we offer a platform with product, service and software and that platform can elevate the conversation much higher up in the organization. And partners get the opportunity here to go up and talk to sustainability officers about what we are doing. They can even take it up to the CEO and talk about how can you reach your sustainability KPI in the data center. What we've seen this round table when we have sustainability officers in the room is that they're very focused on the green profile and what is going out of the company. They rarely have a deep understanding of what is going on at the data center. Why? Because it's really technical and they don't have that background. So just by elevating the conversation to these sustainability officers, you can tell them what they should measure and how they should measure that. And you can be sure that that will replicate down to the CIO and the CFO and that immediately your request for proposal going forward. So this one here is really a golden opportunity to take that story, go out and talk to different people in the organization to be relevant and have an impact and make it more easy for you to win that proposal when it gets out. >>Well really solid story on a super important topic. Thanks Tom. Really appreciate your time and taking us through your perspectives. >>Thank you Dave, for the invitation. >>Yeah, you bet. Okay, in a moment we'll be back. To summarize our final thoughts, keep it right there. >>Click by click. The world is changing. We make sense of our world by making sense of data. You can draw more meaning from more data than was ever possible before, so that every thought and every action can build your path to intelligent innovation to change the way the world works. Hitachi Van Tara. >>Okay, thanks for watching the program. We hope you gained a better understanding of how Hitachi Ventura drives customer success with its partners. If you wanna learn more about how you can partner for profit, check out the partner togetherPage@hitachiventera.com and there's a link on the webpage here that will take you right to that page. Okay, that's a wrap for Lisa Martin. This is Dave Valante with the Cube. You a leader in enterprise and emerging tech coverage.
SUMMARY :
Ecosystems have evolved quite dramatically over the last decade with the explosion of data and the popularity And they'll set the table for us with an overview of how Hitachi is working the incredible identify with the analytical and are synonymous with Kim, it's great to have you on the program. What are some of the biggest challenges and pain points that you're hearing from Really the complexity of where do they go, a role in helping customers to address some of the challenges with respect to the the right decisions with and for them. Talk to me a little bit about the partner landscape, the partner ecosystem at Hitachi Ventura. and really extension across the board, I would say our goal is to marry the right customer with So Kim, talk to me about how partners fit into Hitachi van's overall And we see that paying dividends with our partners as they engage with us and the successful outcome that's needed without, you know, sort of all kinds of, And so we really have, like I said, we actually provide our partners with better I say that we allow them to scale and drive Say that again? So if we look at the overall sales cycle, where is it specifically where So from the sales cycle, I think because we have the, a solution that the trusted engagement with them from a pricing and packaging perspective. Let's kind of step back out and look at the cloud infrastructure. So we have a couple of different teams. So we spend a lot of time upfront planning with them what is not only So our primary go to market with our, as a service business is with and through partners. Kim, are the priorities for the partner ecosystem going forward? And then going back on our core tenants, which are, you know, really a trusted, From a channel business perspective, what are some of the priorities coming down the pi? into our new program and our go to markets as we roll out every year. for joining me today talking about what Hitachi Vanta is doing with its partner ecosystem, Russell Skillings Lee, the CTO and global VP of technical sales at Hitachi Van So here we are, the end of calendar year 2022. And closely related to that is the whole area of ESG and decarbonization And I think everyone's contributing to that, And that, and what I mean by that is our traditional businesses, you know, monetize it, and create real value new opportunities for the business at record speed. especially in the early days, leverage the cloud to be able to build out their capabilities. How are partners helping Hitachi Ventura and its customers to even for customers that might consider themselves to be all in on public cloud, And you know, we've seen a lot of this type of change ourselves, this change of attitude not the most reliable, you know, of course they matter. So for example, the work we do with VMware, which we consider to be one We combine that with what VMware's doing, and then when you look at our converged And the way I think they like to think of themselves, and I too tend to agree with them, And so the cost I wanna get, what are some of the key differentiators that you talk about when you're in customer conversations, We do believe that we have the fastest and most reliable storage And so we believe that our conversations with our customers bear a little bit more sophistication. is playing a role in the as service business? So we are 100% partner focused when it comes to that aspect. So the, as you said, the partner ecosystem is absolutely pivotal. conversation with Tom Christensen. in the UK to install a full electronic patient record system. DCC is designed not only to improve the lives of patients, but also of our staff and it will allow the system that I work with within the patient flow team to effectively But we chose to partner with Hitachi to deliver the DCC here at Sulfur. My hopes for the DCC is that ultimately we will provide more efficient and so that we can then start to deliver the real change that's needed for oh 7 0 8 financial crisis sort of put that on the back burner. The second pressure that we see is coming from the government. replicates down in the organization and we can now see that some CIOs, And for that reason it replicates down to IT people. But in some cases the CFO say, I don't even know where the pressure is coming from. we saw the EU leading with privacy and GDPR and it looks like it's gonna lead again And we build a factory with concrete that's the way you are going to do it. I wanna come back to the economics, but before I do, I wanna pick up on something you just said because you know, And this one is something that we have done the last eight years, so this is far from you for I mean, the other day it was, you know, the controller to next generation controller and you get more CPU power in the landfill or 2% that goes to the landfill. And only one 2% is going into the landfill right now. And the facilities people don't talk to the IT people. And we have now done more than 1,200 data center assessment around the in electricity on the compute part just by moving from legacy to new modern infrastructure So the way to look at it is that we offer a platform with product, Really appreciate your time and taking us through your perspectives. Yeah, you bet. so that every thought and every action can build your path and there's a link on the webpage here that will take you right to that page.
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Dilip Kumar, AWS Applications | AWS re:Invent 2022
(lively music) >> Good afternoon and welcome back to beautiful Las Vegas, Nevada, where we're here live from the show floor, all four days of AWS re:Invent. I'm Savannah Peterson, joined with my co-host Dave Vellante. Dave, how you doing? >> Good. Beautiful and chilly Las Vegas. Can't wait to get back to New England where it's warm. >> Balmy, New England this time of year in December. Wow, Dave, that's a bold statement. I am super excited about the conversation that we're going to be having next. And, you know, I'm not even going to tee it up. I just want to bring Dilip on. Dilip, thank you so much for being here. How you doing? >> Savannah, Dave, thank you so much. >> Hey, Dilip. >> Excited to be here. >> It's joy to have you. So, you have been working at Amazon for about 20 years. >> Almost. Almost. >> Yes. >> Feels like 20, 19 1/2. >> Which is very exciting. You've had a lot of roles. I'm going to touch on some of them, but you just came over to AWS from the physical retail side. Talk to me about that. >> Yup, so I've been to Amazon for 19 1/2 years. Done pricing, supply chain. I was Jeff Bezos technical advisor for a couple years. >> Casual name drop. >> Casual name drop. >> Savannah: But a couple people here for that name before. >> Humble brag, hashtag. And then I, for the last several years, I was leading our physical retail initiatives. We just walk out Amazon One, bringing convenience to physical spaces. And then in August, with like as those things were getting a lot of traction and we were selling to third parties, we felt that it would be better suited in AWS. And, but along with that, there was also another trend that's been brewing, which is, you know, companies have loved building on AWS. They love the infrastructure services, but increasingly, they're also asking us to build applications that are higher up in the stack. Solving key, turnkey business problems. Just walk out Amazon One or examples of that, Amazon Connect. We just recently announced supply chain, so now there's a bevy interesting services all coming together, higher up in the stack for customers. So it's an exciting time. >> It was interesting that you're able to, you know, transfer from that retail. I mean, normally, in historically, if you're within an industry, retail, manufacturing, automotive whatever. You were kind as locked in a little bit. >> Dilip: Siloed a little bit. Yeah, yeah, yeah. >> Because they had their own, your own value chain. And I guess, data has changed that maybe, that you can traverse now. >> Yeah, if you think about the things that we did, even when we were in retail, the tenants was less about the industries and more about how can we bring convenience to physical spaces? The fact that you don't like to wait in line is no more like likely, you know, five years from now than it is today. So, it's a very durable tenant, but it's equally applicable whether you're in a grocery store, a convenience store, a stadium, an airport. So it actually transcends any, and like supply chain, think of supply chain. Supply chain isn't, you know, targeted to any one particular industry. It has broad applicability. So these things are very, you know, horizontally applicable. >> Anything that makes my life easier, I'm down. >> Savannah: We're all here for the easy button. We've been talking about it a bit this week. I'm in. And the retail store, I mean, I'm in San Francisco. I've had the experience of going through. Very interesting and seamless journey, honestly. It's very exciting. So tell us a little bit more about the applications group at AWS. >> Yup. So as I said, you know, we are, the applications group is a combination of several services. You know, we have communication developer services, which is the ability to add simple email service or video and embed video, voice chat using a chime SDK. In a higher up in the stack, we are taking care of things that IT administrators have to deal with where you can provision an entire desktop with the workspaces or provide a femoral access to it. And then as you go up even higher up in the stack, you have productivity applications like AWS Wicker, which we just did GA, you know, last week in AWS Clean Rooms which we announced as a service in preview. And then you have, you know, Connect, which is our cloud contact center, AWS supply chain. Just walk out Amazon One, it just feels like we're getting started. >> Just a couple things going on. >> So, clean rooms. Part of the governance play, part of data sharing. Can you explain, you know, we were talking offline, but I remember back in the disk drive days. We were in a clean room, they'd show you the clean room, you couldn't go near it unless you had a hazmat suit on. So now you're applying that to data. Explain that concept. >> Yeah, so the companies across, you know, financial services or healthcare, advertising, they all want to be able to combine and pull together data`sets with their partners in order to get these collaborative insights. The problem is either the data's fragmented, it's siloed or you have, you know, data governance issues that's preventing them from sharing. And the key requirement is that they want to be able to share this data without exposing any of the underlying data. Clean rooms are always emerged as a solution to that, but the problem with that is that they're hard to maintain. They're expensive. You have to write complex privacy queries. And if you make a mistake, you risk exposing the same data that you've been, you know, studiously trying to protect. >> Trying to protect. >> You know, take advertising as an industry, as an example. You know, advertisers care about, is my ad effective? But it turns out that if you're an advertiser and let's say you're a Nike or some other advertiser and your pop, you know, you place an ad on the website. Well, you want to stop showing the ad to people who have already purchased the product. However, people who purchased the product,- >> Savannah: It happens all the time. >> that purchasing data is not accessible to them easily. But if you could combine those insights, you know, the publishers benefit, advertisers benefits. So AWS Clean Rooms is that service that allows you very easily to be able to collaborate with a group of folks and then be able to gain these collaborative insights. >> And the consumers benefit. I mean, how many times you bought, you search it. >> It happens all the time. >> They know. And like, I just bought that guys, you know? >> Yeah, no, exactly. >> Four weeks. >> And I'm like, you don't need to serve me that, you know? And we understand the marketing backend. And it's just a waste of money and energy and resources. I mean, we're talking about sustainability as well. I don't think supply chain has ever had a hotter moment than it's had the last two and a half years. Tell me more about the announcement. >> Yup, so super excited about this. As you know, as you said, supply chains have always been very critical and very core for companies. The pandemic exacerbated it. So, ours way of sort of thinking about supply chains is to say that, you know, companies have taken, over the years many, like dozens, like millions and millions of dollars of investment in building their own supply chains. But the problem with supply chains is that the reason that they're not as functional as they could be is because of the lack of visibility. Because they're strung together very many disparate systems, that lack of visibility affects agility. And so, our approach in it was to say that, well, if we could have folks use their existing supply chain what can we do to improve the investment on the ROI of what they're getting? By creating a layer on top of it, that provides them that insights, connects all of these disparate data and then provides them insights to say, well, you know, here's where you overstock, here's where you under stock. You know, this is the, you know, the carbon emission impact of being able to transfer something. So like rather without requiring people to re-platform, what's the way that we can add value in it? And then also build upon Amazon's, you know, years of supply chain experience, to be able to build these predictive analytics for customers. >> So, that's a good, I like that you started with the why. >> Yes. >> Right now, what is it? It's an abstraction layer and then you're connecting into different data points. >> Yes, that's correct. >> Injecting ML. >> Feel like you can pick in, like if you think about supply chain, you can have warehouse management systems, order management systems. It could be in disparate things. We use ML to be able to bring all of this disparate data in and create our unified data lake. Once you have that unified data lake, you can then run an insights layer on top of it to be able to say, so that as the data changes, supply chain is not a static thing. Data's constantly changing. As the data's changing, the data lake now reflects the most up-to-date information. You can have alerts and insights set up on it to say that, what are the kinds of things that you're interested in? And then more importantly, supply chain and agility is about communication. In order to be able to make certain things happen, you need to be able to communicate, you need to make sure that everyone's on the same page. And we allow for a lot of the communication and collaboration tools to be built within this platform so that you're not necessarily leaving to go and toggle from one place to the other to solve your problems. >> And in the pie chart of how people spend their time, they're spending a lot less time communicating and being proactive. >> That's correct. >> And getting ahead of the curve. They're spending more time trying to figure out actually what's going on. >> Yes. >> And that's the problem that you're going to solve. >> Well, and it ensures that the customer at the other end of that supply chain experience is going to have their expectations managed in terms of when their good might get there or whatever's going to happen. >> Exactly. >> I feel like that expectation management has been such a big part of it. Okay, I just have to ask because I'm very curious. What was it like advising Jeff? >> Quite possibly the best job that I've ever had. You know, he's a fascinating individual. >> Did he pay you to say that? >> Nope. But I would've, like, I would've done it for like, it's remarkable seeing how he thinks and his approach to problem solving. It is, you know, you could be really tactical and go very deep. You could be extremely strategic. And to be able to sort of move effortlessly between those two is a unique skill. I learned a lot. >> Yeah, absolutely. So what made you want to evolve your career at Amazon after that? 'Cause I see on your LinkedIn, you say, it was the best job you ever had. With curiosity? >> Yeah, so one of the things, so the role is designed for you to be able to transition to something new. >> Savannah: Oh, cool. >> So after I finished that role, we were just getting into our foray with physical stores. And the idea between physical stores is that, you and I as consumers, we all have a lot of choices for physical stores. You know, there's a lot of options, there's a lot of formats. And so the last thing we wanted to do is come up with another me too offering. So, our approach was that what can we do to improve convenience in physical stores? That's what resulted in just walk out to Amazon Go. That's what resulted in Amazon One, which is another in a fast, convenient, contactless way to pay using the power of your palm. And now, what started in Amazon retail is now expanded to several third parties in, you know, stadiums, convention centers, airports. >> Airport, I just had, was in the Houston airport and got to do a humanless checkout. >> Dilip: Exactly. >> And actually in Honolulu a couple weeks ago as well too. Yeah, so we're going to see more and more of this. >> Yes. >> So what Amazon, I think has over a million employees. A lot of those are warehouse employees. But what advice would you give to somebody who's somewhere inside of Amazon, maybe they're on AWS, maybe they're Amazon. What advice would you give somebody inside that's maybe, you know, hey, I've been at this job for five, six years, three, four years, whatever it is. I want to do something else. And there's so much opportunity inside Amazon, right? What would you advise them? >> My single advice, which is actually transferable and I use it for myself is choose something that makes you a little uncomfortable. >> Dave: Get out of your comfort zone. >> It's like, you got to do that. It's like, it's not the easiest thing to hear, but it's also the most satisfying. Because almost every single time that I've done it for myself, it's resulted in like, you don't really know what the answer is. You don't really know exactly where you're going to end up, but the process and the journey through it, if you experience a little bit of discomfort constantly, it makes you non complacent. It makes you sort of not take the job, sort of in a stride. You have to be on it to do it. So that's the advice that I would give anyone. >> Yeah, that's good. So something that's maybe adjacent and maybe not completely foreign to you, but also something that, you know, you got to go dig a little bit and learn. >> You're planning a career change over here, Dave? >> No, I know a lot of people in Amazon are like, hey, I'm trying to figure out what I want to do next. I mean, I love it here. I live by the LPS, you know, but, and there's so much to choose from. >> It is, you know, when I joined in 2003, there were so many things that we were sort of doing today. None of those existed. It's a fascinating company. And the evolution, you could be in 20 different places and the breadth of the kinds of things that, you know, the Amazon experience provides is timeless. It's fascinating. >> And, you know, you look at a company like Amazon, and, you know, it's so amazing. You look at this ecosystem. I've been around- >> Even a show floor. >> I've been around a lot of time. And the show floor says it all. But I've seen a lot of, you know, waves. And each subsequent wave, you know, we always talk about how many companies were in the Fortune 1000 and aren't anymore. And, but the leaders, you know, survive and they thrive. And I think it's fascinating to try to better understand the culture that enables that. You know, you look at a company like Microsoft that was irrelevant and then came back. You know, even IBM was on death store for a while and they come back and so they. And so, but Amazon just feels, you know, at the moment you feel like, "Oh wow, nothing can stop this machine." 'Cause everybody's trying to disrupt Amazon and then, you know, only the paranoid survive, all that stuff. But it's not like, past is not prologue, all right? So that's why I asked these questions. And you just said that a lot of the services today that although the ideas didn't even exist, I mean, walkout. I mean, that's just amazing. >> I think one of the things that Amazon does really well culturally is that they create the single threaded leadership. They give people focus. If you have to get something done, you have to give people focus. You can't distract them with like seven different things and then say that, oh, by the way, your eighth job is to innovate. It just doesn't work that way. It's like it's hard. Like it can be- >> And where were the energy come from that? >> Exactly. And so giving people that single threaded focus is super important. >> Frank Slootman, the CEO of Snowflake, has a great quote. He wrote on his book. He said, "If you got 14 priorities, you got none." And he asks,- >> Well said. >> he challenges people. If you had to give up everything and do only one thing for the next 365 days, what would that be? It's a really hard question to answer. >> I feel like as we're around New Year's resolution times. I mean when we thinking about that, maybe we can all share our one thing. So, Dilip, you've been with the the applications team for five months. What's coming up next? >> Well, as I said, you know, it feels like it's still day one for applications. If you think about the things, the news that we introduced and the several services that we introduced, it has applicability across a variety of horizontal industries. But then we're also feeling that there's considerable vertical applications that can be built for specific things. Like, it could be in advertising, it could be in financial services, it could be in manufacturing. The opportunities are endless. I think the notion of people wanting applications higher up in the stack and a little more turnkey solutions is also, it's not new for us, but it's also new and creative too. You know, AWS has traditionally been doing. >> So again, this relates to what we were sort of talking about before. And maybe, this came from Jazzy or maybe it came from Bezos. But you hear a lot, it's okay to be misunderstood or if we were misunderstood for a long time. So when people hear up the stack, they think, when you think about apps, you know, in the last 10 years it was taking on-prem and bringing it into the cloud. Okay, you saw that with CREM, email, CRM, service management, you know, data warehouses, et cetera. Amazon is thinking about this in a different way. It's like you're looking at the world saying, okay, how can we improve whatever? Workflows, people's lives, doing something that's not been done before? And that seems to be the kind of applications that you guys are thinking about building. >> Yeah. >> And that's unique. It's not just, okay, we're going to take something on-prem put it in the cloud. Been there, done that. That S-curve is sort of flattening now. But there's a new S-curve which is completely new workflows and innovations and processes that we really haven't thought about yet. Or you're thinking about, I presume. >> Yeah. Having said that, I'd also like to sort of remind folks that when you consider the, you know, the entire spend, the portion of workloads that are running in the cloud is a teeny tiny fraction. It's like less than 5%, like 4% or something like that. So it's a very, there's still plenty of things that can sort of move to the cloud. But you're right that there is another trend of where in the stack and the types of applications that you can provide as well. >> Yeah, new innovation that haven't well thought of yet. >> So, Dilip, we have a new tradition here on theCUBE at re:Invent. Where we're looking for your 30 minute Instagram reel, your hot take, biggest key theme, either for you, your team, or just general vibe from the show. >> General vibe from the show. Well, 19 1/2 years at Amazon, this is actually my first re:Invent, believe it or not. This is my, as a AWS employee now, as re:Invent with like launching services. So that's the first. I've been to re:Invent before, but as an attendee rather than as a person who's, you know, a contributing number of the workforce. >> Working actually? >> If you will. >> Actually doing your job. >> And so I'm just amazed at the energy and the breadth. And the, you know, from the partners to the customers to the diversity of people who are coming here from everywhere. I had meetings from people in New Zealand. Like, you know, the UK, like customers are coming at us from like very many different places. And it's fascinating for me to see. It's new for me as well given, you know, some of my past experience. But this is a, it's been a blast. >> People are pumped. >> People are pumped. >> They can't believe the booth traffic. Not only that quality. >> Right. All of our guests have talked about that. >> Like, yeah, you know, we're going to throw half of these leads away, but they're saying no, I'm having like really substantive conversations with business people. This is, I think, my 10th re:Invent. And the first one was mostly developers. And I'm like, what are you talking about? And, you know, so. Now it's a lot more business people, a lot of developers too. >> Yeah. >> It's just. >> The community really makes it. Dilip, thank you so much for joining us today on theCube. >> Thank you for having me. >> You're fantastic. I could ask you a million questions. Be sure and tell Jeff that we said hi. >> Will do. >> Savannah: Next time you guys are hanging out. And thank all of you. >> You want to go into space? >> Yeah. Yes, yes, absolutely. I'm perhaps the most space obsessed on the show. And with that, we will continue our out of this world coverage shortly from fabulous Las Vegas where we are at AWS re:Invent. It is day four with Dave Vellante. I'm Savannah Peterson and you're watching theCUBE, the leader in high tech coverage. (lively music)
SUMMARY :
Dave, how you doing? Beautiful and chilly Las Vegas. And, you know, I'm not So, you have been working at Almost. but you just came over to AWS Yup, so I've been to here for that name before. that's been brewing, which is, you know, able to, you know, transfer Dilip: Siloed a little bit. that you can traverse now. is no more like likely, you know, Anything that makes And the retail store, I have to deal with where you Can you explain, you know, And if you make a mistake, you showing the ad to people that allows you very easily And the consumers benefit. that guys, you know? to serve me that, you know? is to say that, you know, I like that you started and then you're connecting like if you think about supply chain, And in the pie chart of And getting ahead of the curve. And that's the problem Well, and it ensures that I feel like that expectation management Quite possibly the best It is, you know, you So what made you want for you to be able to And so the last thing we wanted to do and got to do a humanless checkout. And actually in Honolulu a But what advice would you give to somebody that makes you a little uncomfortable. It's like, you got to do that. but also something that, you know, I live by the LPS, you know, but, And the evolution, you could And, you know, you look And, but the leaders, you If you have to get something done, And so giving people that He said, "If you got 14 If you had to give up the the applications team you know, it feels like that you guys are thinking about building. put it in the cloud. that you can provide as well. Yeah, new innovation that So, Dilip, we have a new tradition here you know, a contributing And the, you know, from the They can't believe the booth traffic. All of our guests And I'm like, what are you talking about? Dilip, thank you so much for I could ask you a million questions. you guys are hanging out. I'm perhaps the most space
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Jon Bakke, MariaDB | AWS re:Invent 2022
(bright upbeat music) >> Welcome back everyone to theCUBE's live coverage here in Las Vegas for wall-to-wall coverage. It is re:Invent 2022, our 10th year with theCUBE. Dave and I started this journey 10 years ago here at re:Invent. There are two sets, here, a set upstairs. Great content, I'm here with Paul Gillin, my cohost. Paul's out reporting on the floor, doing some interviews. Paul, what do you think so far? It's pretty crazy activity going on here. >> Well, the activity hasn't declined at all. I mean here we are in day three of the show and it's just as busy out there as it was in day one. And there's just an energy here that you can feel, it's palpable. There is a lot of activity around developers, a lot around data. Which actually brings us a good segue into our next guest because one of the leaders in data management in the cloud is MariaDB. And John Bakke is the CRO at MariaDB, and here to talk to us about your cloud version and how open source is going for you. >> Yeah, thanks for having me. >> Paul: Thanks for joining us. >> To get the update on the product, what do you guys do on the relation to AWS? How's that going? Give us a quick update. >> In the relational database? >> No, no. The relationship with AWS >> Oh, with AWS? >> And SkySQL, what's the update? >> There's no relationship that we have that's more important than the AWS relationship. We're building our cloud, our premier cloud service called SkySQL on AWS. And they offer the best in class infrastructure for a SaaS company to build what they're building. And for us, it's a database service, right? And then beyond that, they help you from the business side, right? They try to get you lined up in the marketplace and make it possible for you to work best with customers. And then from a customer perspective, they're super helpful in not only finding prospective customers, but making that customer successful. 'Cause everybody's got a vested interest in the outcome. Right? >> Yeah, a little tongue twister there. Relational data-based relationship. We've got relational databases, we've got unstructured, data is at the center of the value proposition. Swami's keynote today and the Adam CEO's keynote, data and security dominated the keynotes >> John: Yes. >> and the conversations. So, this is real. The customers are really wanting to accelerate the developer experience, >> John: Yep. >> Developer pipe lining, more code faster, more horsepower under the hood. But this data conversation, it just never goes away. The world's keeping on coming around. >> John: It never goes away. I've been in this business for almost 30 years and we're still talking about the same key factors, right? Reliability, availability, performance, security. These things are pervasive in the data management because it's such a critical aspect to success. >> Yeah, in this case of SkySQL, you have both a transactional and an analytical engine in one. >> John: That's correct. >> Right? >> John: Yep. >> And that was a, what has the customer adoption been like of that hybrid, or I guess not a hybrid, but a dual function? >> Yeah. So the thing that makes that important is that instead of having siloed services, you have integrated data services. And a lot of times when you ask a question that's analytical it might depend on a transaction. And so, that makes the entire experience best for the developer, right? So, to take that further, we also, in SkySQL, offer a geospatial offering that integrates with all of that. And then we even take it further than that with distributed database with Xpand or ready to be Xpand. >> A lot of discussion. Geospatial announcement today on stage, just the diversity of data, and your experience in the industry. There's not the one database that rule them all anymore. There's a lot of databases out there. How are customers dealing with, I won't say database for all, 'Cause you need databases. And then you've got real time transactional, you got batch going on, you got streaming data, all kinds of data use cases now, all kind of having to be rolled together. What's your reaction? What's your take on the state of data and databases? >> Yeah, yeah, yeah. So when I started in this business, there were four databases, and now there's 400 databases. And the best databases really facilitate great application development. So having as many of those services in real time or in analytics as possible means that you are a database for everyone or for all users, right? And customers don't want to use multiple databases. Sometimes they feel like they're forced to do that, but if you're like MariaDB, then you offer all of those capabilities in an integrated way that makes the developer move faster. >> Amazon made a number of announcements this morning in the data management area, including geospatial support on RDS, I believe. How do you, I guess, coordinate yourself, your sales message with their sales message, given that you are partners, but they are competing with you in some ways? >> Yeah, there's always some cooperatition, I guess, that happens with AWS in the various product silos that they're offering their customers. For us, we're one of thousands of obviously partners that they have. And we're out there trying to do what our customers want, which is to have those services integrated, not glued together with a variety of different integration software. We want it integrated in the service so that it's one data provision, data capability for the application developer. It makes for a better experience for the developer in the end. >> On the customer side, what's the big activity? I mean, you got the on-premises database, you've got the cloud. When should a customer decide, or what's the signals to them that they should either move to the cloud, or change, be distributed? What are some of the forcing functions? What does the mark look like? >> Yeah, I've come a long way on this, but my opinion is that every customer should be in the cloud. And the reason simply is the economies that are involved, the pace of execution, the resilience and dependability of the cloud, Amazon being the leader in that space. So if you were to ask me, right now is the time to be in SkySQL because it's the premier data service in the cloud. So I would take my customer out of their on-prem and put them all in AWS, on SkySQL, if I could. Not everybody's ready for that, but my opinion is that the security is there, the reliability, the privacy, all of the things that maybe are legacy concerns, it's all been proven to be adequate and probably even better because of all of the economies of scale that you get out of being in the cloud just generally. >> Now, MariaDB, you started on-premise though. You still have a significant customer base on-premise. What, if anything are you doing to encourage them to migrate to the cloud? >> Well, so we have hundreds and hundreds of customers as MariaDB, and we weren't the first database company to put their database in the cloud, but watching it unfold helped us realize that we're going to put MariaDB in its best form factor in SkySQL. It's the only place you could get the enterprise version of MariaDB in a cloud service, right? So when we look at our customers on-prem, we're constantly telling them, obviously, that we have a cloud service. When they subscribe, we show them the efficiencies and the economies, and we do get customers that are moving. We had a customer go to Telefonica over in the UK that moved from an on-premise to manage their wifi services across Europe. And they're very happy. They were one of our very first SkySQL customers. And that has routinely proven itself to be a path towards not only a better operation for the customer, they're up more, they have fewer outages because they're not inflicting their own self wounds that they have in their own data center. They're running on world class infrastructure on world class databases. >> What are some of those self wounds? Is it personnel, kind of manual mistakes, just outages, reliability? What's the real cause, and then what's the benefit alternative in the cloud that is outside? >> Yeah. I mean, I think, when you repeat the same database implementation over and over on the infrastructure, it gets tested thousands and thousands of times. Whereas if I'm a database team and I install it once, I've tested it one time, and I can't account for all of the things that might happen in the future. So the benefit of the cloud is that you just get that repeat ability that happens and all of the sort of the kinks and bugs and issues are worked out of the system. And that's why it's just fundamentally better. We get 99.9999% uptime because all of those mistakes have been made, solved, and fixed. >> Fully managed, obviously. >> Yes. Right. >> Huge benefit. >> John: Right. >> And people are moving, it's just a great benefit. >> John: Yeah. >> So I'm a fan obviously. I think it's a great way to go. I got to ask about the security though, because big conversation here is security. What's the security posture? What's the security story to customers with SkySQL and MariaDB? >> Right, right, right. So we've taken the server, which was the initial product that MariaDB was founded upon, right? And we've come a long way over the several years that we've been in business. In SkySQL, we have SOC 2 compliance, for example. So we've gone through commercial certifications to make sure that customers can depend that we are following processes, we have technology in place in order to secure and protect their data. And in that environment, it is repeatable. So every time a customer uses our DBaaS infrastructure, databases a service infrastructure called SkySQL, they're benefiting from all of the testing that's been done. They go there and do that themselves, they would've to go through months and months of processes in order to reach the same level of protection. >> Now MariaDB is distributed by design. Is that right? >> Yes. So we have a distributed database, it's called Xpand, MariaDB Xpand. And it's an option inside of SkySQL. It's the same cost as MariaDB server, but Xpand is distributed. And the easiest way to understand what distributed database is is to understand what it is not first. What it is not is like every other cloud database. So most of the databases strangely in the cloud are not distributed databases. They have one single database node in a cluster that is where all of the changes and rights happen. And that creates a bottleneck in the database. And that's why there's difficulties in scale. AWS actually talked about this in the keynote which is the difficulty around multi writer in the cloud. And that's what Xpand does. And it spreads out the reads and the rights to make it scalable, more performant, and more resilient. One node goes down, still stays up, but you get the benefit of the consistency and the parallelization that happens in Xpand. >> So when would a customer choose Xpand versus SkySQL Vanilla? >> So we have, I would say a lot of times, but the profile of our customers are typically like financial services, trade stores. We have Samsung Cloud, 500,000 transactions per second in an expand cluster where they run sort of their Samsung cloud for their mobile device unit. We have many customers like that where it's a commercial facing website often or a service where the brand depends on uptime. Okay. So if you're in exchange or if you are a mobile device company or an IOT company, you need those databases to be working all the time and scale broadly and have high performance. >> So you have resiliency built in essentially? >> Yes, yeah. And that's the major benefit of it. It hasn't been solved by anybody other than us in the cloud to be quite honest with you. >> That's a differentiator for sure. >> It is a huge differentiator, and there are a lot of interested parties. We're going to see that be the next discussion probably next year when we come back is, what's the state of distributed database? Because it's really become really the tip of the spear with the database industry right now. >> And what's the benefits of that? Just quickly describe why that's important? >> Obviously the performance and the resilience are the two we just talked about, but also the efficiency. So if you have a multi-node cluster of a single master database, that gets replicated four times, five times over, five times the cost. And so we're taking cost out, adding performance in. And so, you're really seeing a revolution there because you're getting a lot more for a lot less. And whenever you do that, you win the game. Right? >> Awesome. Yeah, that's true. And it seems like, okay, that might be more costly but you're not replicating. >> That's right. >> That's the key. >> Replicating just enough to be resilient but not excessively to be overly redundant. Right. >> Yeah. I find that the conversation this year is starting to unpack some of these cloud native embedded capabilities inside AWS. So are you guys doing more around, on the customer side, around marketplace? Are you guys, how do people consume products? >> Yeah. It's really both. So sometimes they come to us from AWS. AWS might say, "Hey, you know what," "we don't really have an answer." And that's specifically true on the expand side. They don't really have that in their list of databases yet. Right. Hopefully, we'll get out in front of them. But they oftentimes come through our front door where they're a MariaDB customer already, right? There's over a hundred thousand production systems with MariaDB in the world, and hundreds of thousands of users of the database. So they know our brand, not quite as well as AWS, but they know our brand... >> You've got a customer base. >> We do. Right. I mean people love MariaDB. They just think it's the database that they use for application development all the time. And when they see us release an offering like Xpand just a few years ago, they're interested, they want to use that. They want to see how that works. And then when they take it into production and it works as advertised, of course, success happens. Right? >> Well great stuff, John. Great to have you on theCUBE. Paul, I guess time we do the Insta challenge here. New format on theCUBE, we usually say at the end, summarize what's most important story for you or show, what's the bumper sticker? We kind of put it around more of an Instagram reel. What's your sizzle reel? What's your thought leadership statement? 30 seconds >> John: Thought leadership. >> John? >> So the thought leadership is really in scaling the cloud to the next generation. We believe MariaDB's Xpand product will be the the technology that fronts the next wave of database solutions in the cloud. And AWS has become instrumental in helping us do that with their infrastructure and all the help that they give us, I think at the end of the day, when the story on Xpand is written, it's going to be a very fun ride over the next few years. >> John, thank you. CRO, chief revenue officer of MariaDB, great to have you on. >> Thank you. >> 34-year veteran or so in databases. (laughs) >> You're putting a lot of age on me. I'm 29. I'm 29 again. (all laugh) >> I just graduated high school and I've been doing this for 10 years. Great to have you on theCUBE. Thanks for coming on. >> Thanks guys. Yeah. >> Thanks for sharing. >> Appreciate it. >> I'm John Furrier with Paul Gillin here live on the floor, wall-to-wall coverage. We're already into like 70 videos already. Got a whole another day, finish out day three. Keep watching theCUBE, thanks for watching. We'll be right back. (calm music)
SUMMARY :
Paul's out reporting on the And John Bakke is the CRO at MariaDB, the relation to AWS? than the AWS relationship. data is at the center of and the conversations. it just never goes away. in the data management and an analytical engine in one. And so, that makes the entire experience just the diversity of data, And the best databases in the data management area, in the various product silos What are some of the forcing functions? and dependability of the cloud, What, if anything are you doing and the economies, and I can't account for all of the things And people are moving, What's the security posture? And in that environment, it is repeatable. Is that right? So most of the databases but the profile of our customers the major benefit of it. really the tip of the spear and the resilience And it seems like, but not excessively to I find that the conversation So sometimes they come to us from AWS. development all the time. the Insta challenge here. and all the help that they give us, MariaDB, great to have you on. in databases. I'm 29. Great to have you on theCUBE. Yeah. here live on the floor,
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Amar Narayan & Lianne Anderton | AWS Executive Summit 2022
(bright upbeat music) >> Well, hello everybody. John Walls is here on "the CUBE". Great to have you with us as we continue our series here at the AWS Executive Summit sponsored by Accenture. And today we're talking about public service and not just a little slice of public service but probably the largest public sector offering in the UK and for with us or with us. Now to talk about that is Lianne Anderton, who is in with the Intelligent Automation Garage Delivery Lead at the UK Department of Work and Pension. Lianne, good to see you today. Thanks for joining us here on "the CUBE". >> Hi, thanks for having me. >> And also with this us is Amar Narayan, who is a Manager Director at Accenture the AWS Business Group for the Lead in Health and Public Sector, also UK and Ireland. And Amar, I think, you and Lianne, are in the same location, Newcastle, I believe in the UK, is that right? >> Yeah, absolutely. Yep, yeah, we're, here in the northeast of UK. >> Well, thank you for being with us. I appreciate the time. Lianne, let's talk about what you do, the Department of Work and Pension, the famous DWP in England. You have influence or certainly touchpoints with a huge amount of the British population. In what respects, what are you doing for the working class in England and what does technology have to do with all that? >> Sure, so for the Department for Work and Pensions I think the pensions bit is fairly self explanatory so anybody who is over state pension age within the UK. for the work part of that we also deal with people of working age. So, these are people who are either in employment and need additional help through various benefits we offer in the UK. Those people who are out of work. And we also deal with health related benefits as well. And we are currently serving over 20 million claimants every year at this moment in time. So, we're aware of a huge part of the UK government. >> All right, so say that number again. How many? >> 20 million claimants every year. >> Million with an M, right? >> Yeah. >> So, and that's individuals. And so how many transactions, if you will, how many do you think you process in a month? How, much traffic basically, are you seeing? >> An extraordinary amount? I'm not even, I don't think I even know that number. (Lianne laughing) >> Mind blowing, right? So, it's- >> A huge, huge amount. >> Mind blowing. >> Yeah, so, basically the we kind of keep the country going. So, you know, if the department for Work and Pensions kind of didn't exist anymore then actually it would cause an infinite number of problems in society. We, kind of help and support the people who need that. And, yeah, so we play a really vital role in kind of you know, social care and kind of public service. >> So, what was your journey to Accenture then? What, eventually led you to them? What problem were you having and how have you collaborated to solve that? >> So, in terms of how we work with Accenture. So, we had in around 2017 DWP was looking at a projected number of transactions growing by about 210 million which was, you know, an extraordinary amount. And, you know, I think as we've kind of covered everything that we do is on a massive scale. So, we as DWP as an organization we had absolutely no idea how we were going to be able to handle such a massive increase in the transactions. And actually, you know, after kind of various kind of paths and ideas of how we were going to do that, automation, was actually the answer. But the problem that we have with that is that we have, like many governments around the world, we have really older legacy systems. So, each of these benefits that we deal with are on legacy systems. So, whatever we were going to develop had to, you know, connect to all of these, it had to ingest and then process all of these pieces of data some of which, you know, given the fact that a lot of these systems have a lot of manual input you have data issues there that you have to solve and whatever we did, you know, as we've talked about in terms of volumes has to scale instantly as well. So, it has to be able to scale up and down to meet demand and, you know, and that down scaling is also equally as important. So yeah, you've got to be able to scale up to meet the volumes but also you've got to be able to downscale when when it's not needed. But we had nothing that was like that kind of helped us to meet that demand. So, we built our own automation platform, The Intelligent Automation Garage and we did that with Accenture. >> So Amar, I'd like you to chime in here then. So, you're looking at this client who has this massive footprint and obviously vital services, right? So, that's paramount that you have to keep that in mind and the legacy systems that Lianne was just talking about. So, now you're trying to get 'em in the next gen but also respecting that they have a serious investment already in a lot of technology. How do you approach that kind of problem solving, those dynamics and how in this case did you get them to automation as the solution? >> Sure, so I think I think one of the interesting things, yeah as Lianne has sort of described it, right? It's effectively like, you know the department has to have be running all of the time, right? They can't, you know, they can't effectively stop and then do a bunch of IT transformation, you know it's effectively like, you know, changing the wheels of a jumbo jet whilst it's taking off, right? And you've got to do all of that all in one go. But what I think we really, really liked about the situation that we were in and the client relationship we had was that we knew we had to it wasn't just a technology play, we couldn't just go, "All right, let's just put some new technology in." What we also needed to do was really sort of create a culture, an innovation culture, and go, "Well how do we think about the problems that we currently have and how do we think about solving them differently and in collaboration, right?" So, not just the, "Let's just outsource a bunch of technology for to, you know, to Accenture and build a bunch of stuff." So, we very carefully thought about, well actually, the unique situation that they're in the demands that the citizens have on the services that the department provide. And as Lianne mentioned, that technology didn't exist. So, we fundamentally looked at this in a different way. So, we worked really closely with the department. We said, Look, actually what we ultimately need is the equivalent of a virtual workforce. Something where if you already, you know all of a sudden had a hundred thousand pension claims that needed to be processed in a week that you could click your fingers and, you know in a physical world you'd have another building all of your kits, a whole bunch of trained staff that would be able to process that work. And if in the following week you didn't need that you no longer needed that building that stuff or the machinery. And we wanted to replicate that in the virtual world. So, we started designing a platform we utilized and focused on using AWS because it had the scalability. And we thought about, how were we going to connect something as new as AWS to all of these legacy systems. How are we going to make that work in the modern world? How are we going to integrate it? How we going to make sure it's secure? And frankly, we're really honest with the client we said, "Look, this hasn't been done before. Like, nowhere in Accenture has done it. No one's done it in the industry. We've got some smart people, I think we can do it." And, we've prototyped and we've built and we were able to prove that we can do that. And that in itself just created an environment of solving tricky problems and being innovative but most importantly not doing sort of proof of concepts that didn't go anywhere but building something that actually scaled. And I think that was really the real the start of what was has been the Garage. >> So, And Lianne, you mentioned this and you just referred to it Amar, about The Garage, right? The Intelligent Automation Garage. What exactly is it? I mean, we talked about it, what the needs are all this and that, but Lianne, I'll let you jump in first and Amar, certainly compliment her remarks, but what is the IAG, what's the... >> So, you know, I think exactly what kind of Amar, has said from a from a kind of a development point of view I think it started off, you know, really, really small. And the idea is that this is DWP, intelligent automation center of excellence. So, you know, it's aims are that, you know, it makes sure that it scopes out kind of the problems that DWP are are facing properly. So, we really understand what the crux of the problem is. In large organizations It's very easy, I think to think you understand what the problem is where actually, you know, it is really about kind of delving into what that is. And actually we have a dedicated design team that really kind of get under the bonnet of what these issues really are. It then kind of architects what the solutions need to look like using as Amar said, all the exciting new technology that we kind of have available to us. That kind of sensible solution as to what that should look like. We then build that sensible solution and we then, you know as part of that, we make sure that it scales to demand. So, something that might start out with, I dunno, you know a few hundred claimants or kind of cases going through it can quite often, you know, once that's that's been successful scale really, really quickly because as you know, we have 20 million claimants that come through us every year. So, these types of things can grow and expand but also a really key function of what we do is that we have a fully supported in-house service as well. So, all of those automations that we build are then maintained and you know, so any changes that kind of needed to be need to be made to them, we have all that and we have that control and we have our kind of arms wrapped around all of those. But also what that allows us to do is it allows us to be very kind of self-sufficient in making sure that we are as sufficient, sorry, as efficient as possible. And what I mean by that is looking at, you know as new technologies come around and they can allow us to do things more effectively. So, it allows us to kind of almost do that that kind of continuous improvement ourselves. So, that's a huge part of what we do as well. And you know, I think from a size point of view I said this started off really small as in the idea was this was a kind of center of excellence but actually as automation, I think as Amar alluded to is kind of really started to embed in DWP culture what we've started to kind of see is the a massive expansion in the types of of work that people want us to do and the volume of work that we are doing. So, I think we're currently running at around around a hundred people at the moment and I think, you know we started off with a scrum, a couple of scrum teams under Amar, so yeah, it's really grown. But you know, I think this is here to stay within DWP. >> Yeah, well when we talk about automation, you know virtual and robotics and all this I like to kind of keep the human element in mind here too. And Amar, maybe you can touch on that in certain terms of the human factors in this equation. 'Cause people think about, you know, robots it means different things to different people. In your mind, how does automation intersect with the human element here and in terms of the kinds of things Lianne wants to do down the road, you know, is a road for people basically? >> Oh yeah, absolutely. I think fundamentally what the department does is support people and therefore the solutions that we designed and built had to factor that in mind right? We were trying to best support and provide the best service we possibly can. And not only do we need to support the citizens that it supports. The department itself is a big organization, right? We're up to, we're talking between sort of 70 and 80,000 employees. So, how do we embed automation but also make the lives of the, of the DWP agents better as well? And that's what we thought about. So we said, "Well look, we think we can design solutions that do both." So, a lot of our automations go through a design process and we work closely with our operations team and we go, well actually, you know in processing and benefit, there are some aspects of that processing that benefit that are copy and paste, right? It doesn't require much thought around it, but it just requires capturing data and there's elements of that solution or that process that requires actual thought and understanding and really empathy around going, "Well how do I best support this citizen?" And what we tended to do is we took all of the things that were sort of laborious and took a lot of time and would slow down the overall process and we automated those and then we really focused on making sure that the elements that required the human, the human input was made as user friendly and centric as we possibly could. So, if there's a really complex case that needs to be processed, we were able to present the information in a really digestible and understandable way for the agents so that they could make a informed and sensible decision based around a citizen. And what that enabled us to do is essentially meet the demands of the volumes and the peaks that came in but also maintain the quality and if not improve, you know the accuracy of the claims processing that we had. >> So, how do you know, and maybe Lianne, you can address this. How do you know that it's successful on both sides of that equation? And, 'cause Amar raised a very good point. You have 70 to 80,000 employees that you're trying to make their work life much more efficient, much simpler and hopefully make them better at their jobs at the end of the day. But you're also taking care of 20 million clients on the, your side too. So, how do you, what's your measurement for success and what kind of like raw feedback do you get that says, "Okay, this has worked for both of our client bases, both our citizens and our employees?" >> Yeah, so we can look at this both from a a quantitative and a qualitative point of view as well. So, I think from a let take the kind figures first. So we are really hot on making sure that whatever automations we put in place we are there to measure how that automation is working what it's kind of doing and the impact that it's having from an operational point of view. So I think, you know, I think the proof of the fact that the Intelligent Automation Garage is working is that, you know, in the, in its lifetime, we've processed over 20 million items and cases so far. We have 65 scaled and transitioned automations and we've saved over 2 million operational hours. I was going to say that again that's 2 million operational hours. And what that allows us to do as an organization those 2 million hours have allowed us to rather than people as Amar, said, cutting and pasting and doing work that that is essentially very time consuming and repetitive. That 2 million hours we've been able to use on actual decision making. So, the stuff that you need as sentient human being to make judgment calls on and you know and kind of make those decisions that's what it's allowed us as an organization to do. And then I think from a quality point of view I think the feedback that we have from our operational teams is, you know is equally as as great. So, we have that kind of feedback from, you know all the way up from to the director level about, you know how it's kind of like I said that freeing up that time but actually making the operational, you know they don't have an easy job and it's making that an awful lot easier on a day to day basis. It has a real day to day impact. But also, you know, there are other things that kind of the knock on effects in terms of accuracy. So for example, robot will do is exactly as it's told it doesn't make any mistakes, it doesn't have sick days, you know, it does what it says on the tin and actually that kind of impact. So, it's not necessarily, you know, counting your numbers it's the fact that then doesn't generate a call from a customer that kind of says, "Well you, I think you've got this wrong." So, it's all that kind of, these kind of ripple effects that go out. I think is how we measure the fact that A, the garage is working and b, it's delivering the value that we needed to deliver. >> Robots, probably ask better questions too so yeah... (Lianne laughing) So, real quick, just real quick before you head out. So, the big challenge next, eureka, this works, right? Amar, you put together this fantastic system it's in great practice at the DWP, now what do we do? So, it's just in 30 seconds, Amar, maybe if you can look at, be the headlights down the road here for DWP and say, "This is where I think we can jump to next." >> Yeah, so I think, what we've been able to prove as I say is that is scaled innovation and having the return and the value that it creates is here to stay, right? So, I think the next things for us are a continuous expand the stuff that we're doing. Keeping hold of that culture, right? That culture of constantly solving difficult problems and being able to innovate and scale them. So, we are now doing a lot more automations across the department, you know, across different benefits across the digital agenda. I think we're also now becoming almost a bit of the fabric of enabling some of the digital transformation that big organizations look at, right? So moving to a world where you can have a venture driven architectures and being able to sort of scale that. I also think the natural sort of expansion of the team and the type of work that we're going to do is probably also going to expand into sort of the analytics side of it and understanding and seeing how we can take the data from the cases that we're processing to overall have a smoother journey across for our citizens. But it's looking, you know, the future's looking bright. I think we've got a number of different backlogs of items to work on. >> Well, you've got a great story to tell and thank you for sharing it with us here on "the CUBE", talking about DWP, the Department of Work and Pensions in the UK and the great work that Accenture's doing to make 20 million lives plus, a lot simpler for our friends in England. You've been watching ""the CUBE"" the AWS Executive Summit sponsored by Accenture. (bright upbeat music)
SUMMARY :
in the UK and for with us or with us. And Amar, I think, you and in the northeast of UK. Lianne, let's talk about what you do, And we also deal with health All right, so say that number again. And so how many transactions, if you will, I even know that number. So, you know, if the department But the problem that we have with that and the legacy systems that that in the virtual world. and you just referred to it So, all of those automations that we build of the kinds of things Lianne and we go, well actually, you know So, how do you know, and maybe Lianne, So, the stuff that you need So, the big challenge next, the department, you know, story to tell and thank you
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Hoshang Chenoy, Meraki & Matthew Scullion, Matillion | AWS re:Invent 2022
(upbeat music) >> Welcome back to Vegas. It's theCUBE live at AWS re:Invent 2022. We're hearing up to 50,000 people here. It feels like if the energy at this show is palpable. I love that. Lisa Martin here with Dave Vellante. Dave, we had the keynote this morning that Adam Selipsky delivered lots of momentum in his first year. One of the things that you said that you were looking in your breaking analysis that was released a few days ago, four trends and one of them, he said under Selipsky's rule in the 2020s, there's going to be a rush of data that will dwarf anything we have ever seen. >> Yeah, it was at least a quarter, maybe a third of his keynote this morning was all about data and the theme is simplifying data and doing better data integration, integrating across different data platforms. And we're excited to talk about that. Always want to simplify data. It's like the rush of data is so fast. It's hard for us to keep up. >> It is hard to keep that up. We're going to be talking with an alumni next about how his company is helping organizations like Cisco Meraki keep up with that data explosion. Please welcome back to the program, Matthew Scullion, the CEO of Matillion and how Hoshang Chenoy joins us, data scientist at Cisco Meraki. Guys, great to have you on the program. >> Thank you. >> Thank you for having us. >> So Matthew, we last saw you just a few months ago in Vegas at Snowflake Summits. >> Matthew: We only meet in Vegas. >> I guess we do, that's okay. Talk to us about some of the things, I know that Matillion is a data transformation solution that was originally introduced for AWS for Redshift. But talk to us about Matillion. What's gone on since we've seen you last? >> Well, I mean it's not that long ago but actually quite a lot. And it's all to do with exactly what you guys were just talking about there. This almost hard to comprehend way the world is changing with the amounts of data that we now can and need to put to work. And our worldview is there's no shortage of data but the choke points certainly one of the choke points. Maybe the choke point is our ability to make that data useful, to make it business ready. And we always talk about the end use cases. We talk about the dashboard or the AI model or the data science algorithm. But until before we can do any of that fun stuff, we have to refine raw data into business ready, usable data. And that's what Matillion is all about. And so since we last met, we've made a couple of really important announcements and possibly at the top of the list is what we call the data productivity cloud. And it's really squarely addressed this problem. It's the results of many years of work, really the apex of many years of the outsize engineering investment, Matillion loves to make. And the Data Productivity Cloud is all about helping organizations like Cisco Meraki and hundreds of others enterprise organizations around the world, get their data business ready, faster. >> Hoshang talk to us a little bit about what's going on at Cisco Meraki, how you're leveraging Matillion from a productivity standpoint. >> I've really been a Matillion fan for a while, actually even before Cisco Meraki at my previous company, LiveRamp. And you know, we brought Matillion to LiveRamp because you know, to Matthew's point, there is a stage in every data growth as I want to call it, where you have different companies at different stages. But to get data, data ready, you really need a platform like Matillion because it makes it really easy. So you have to understand Matillion, I think it's designed for someone that uses a lot of code but also someone that uses no code because the UI is so good. Someone like a marketer who doesn't really understand what's going on with that data but wants to be a data driven marketer when they look at the UI they immediately get it. They're just like, oh, I get what's happening with my data. And so that's the brilliance of Matillion and to get data to that data ready part, Matillion does a really, really good job because what we've been able to do is blend so many different data sources. So there is an abundance of data. Data is siloed though. And the connectivity between different data is getting harder and harder. And so here comes the Matillion with it's really simple solution, easy to use platform, powerful and we get to use all of that. So to really change the way we've thought about our analytics, the way we've progressed our division, yeah. >> You're always asking about superpowers and that is a superpower of Matillion 'cause you know, low-code, no-code sounds great but it only gets you a quarter of the way there, maybe 50% of the way there. You're kind of an "and" not an "or." >> That's a hundred percent right. And so I mentioned the Data Productivity Cloud earlier which is the name of this platform of technology we provide. That's all to do with making data business ready. And so I think one of the things we've seen in this industry over the past few years is a kind of extreme decomposition in terms of vendors of making data business ready. You've got vendors that just do loading, you've got vendors that just do a bit of data transformation, you've got vendors that do data ops and orchestration, you've got vendors that do reverse ETL. And so with the data productivity platform, you've got all of that. And particularly in this kind of, macroeconomic heavy weather that we're now starting to face, I think companies are looking for that. It's like, I don't want to buy five things, five sets of skills, five expensive licenses. I want one platform that can do it. But to your point David, it's the and not the or. We talk about the Data Productivity Cloud, the DPC, as being everyone ready. And what we mean by that is if you are the tech savvy marketer who wants to get a particular insight and you understand what a Rowan economy is, but you're not necessarily a hardcore super geeky data engineer then you can visual low-code, no-code, your data to a point where it's business ready. You can do that really quick. It's easy to understand, it's faster to ramp people onto those projects cause it like explains itself, faster to hand it over cause it's self-documenting. But, they'll always be individuals, teams, "and", "or" use cases that want to high-code as well. Maybe you want to code in SQL or Python, increasingly of course in DBT and you can do that on top of the Data Productivity Cloud as well. So you're not having to make a choice, but is that right? >> So one of the things that Matillion really delivers is speed to insight. I've always said that, you know, when you want to be business ready you want to make fast decisions, you want to act on data quickly, Matillion allows you to, this feed to insight is just unbelievably fast because you blend all of these different data sources, you can find the deficiencies in your process, you fix that and you can quickly turn things around and I don't think there's any other platform that I've ever used that has that ability. So the speed to insight is so tremendous with Matillion. >> The thing I always assume going on in our customers teams, like you run Hoshang is that the visual metaphor, be it around the orchestration and data ops jobs, be it around the transformation. I hope it makes it easier for teams not only to build it in the first place, but to live with it, right? To hand it over to other people and all that good stuff. Is that true? >> Let me highlight that a little bit more and better for you. So, say for example, if you don't have a platform like Matillion, you don't really have a central repository. >> Yeah. >> Where all of your codes meet, you could have a get repository, you could do all of those things. But, for example, for definitions, business definitions, any of those kind of things, you don't want it to live in just a spreadsheet. You want it to have a central platform where everybody can go in, there's detailed notes, copious notes that you can make on Matillion and people know exactly which flow to go to and be part of, and so I kind of think that that's really, really important because that's really helped us in a big, big way. 'Cause when I first got there, you know, you were pulling code from different scripts and things and you were trying to piece everything together. But when you have a platform like Matillion and you actually see it seamlessly across, it's just so phenomenal. >> So, I want to pick up on something Matthew said about, consolidating platforms and vendors because we have some data from PTR, one of our survey partners and they went out, every quarter they do surveys and they asked the customers that were going to decrease their spending in the quarter, "How are you going to do it?" And number one, by far, like, over a third said, "We're going to consolidate redundant vendors." Way ahead of cloud, we going to optimize cloud resource that was next at like 15%. So, confirms what you were saying and you're hearing that a lot. Will you wait? And I think we never get rid of stuff, we talk about it all the time. We call it GRS, get rid of stuff. Were you able to consolidate or at least minimize your expense around? >> Hoshang: Yeah, absolutely. >> What we were able to do is identify different parts of our tech stack that were just either deficient or duplicate, you know, so they're just like, we don't want any duplicate efforts, we just want to be able to have like, a single platform that does things, does things well and Matillion helped us identify all of those different and how do we choose the right tech stack. It's also about like Matillion is so easy to integrate with any tech stack, you know, it's just they have a generic API tool that you can log into anything besides all of the components that are already there. So it's a great platform to help you do that. >> And the three things we always say about the Data Productivity Cloud, everyone ready, we spoke about this is whether low-code, no-code, quasi-technical, quasi-business person using it, through to a high-end data engineer. You're going to feel at home on the DPC. The second one, which Hoshang was just alluding to there is stack ready, right? So it is built for AWS, built for Snowflake, built for Redshift, pure tight integration, push down ELT better than you could write yourself by hand. And then the final one is future ready, which is this idea that you can start now super easy. And we buy software quickly nowadays, right? We spin it up, we try it out and before we know it, the whole organization is using it. And so the future ready talks about that continuum of being able to launch in five minutes, learn it in five hours, deliver your first project in five days and yet still be happy that it's an enterprise scalable platform, five years down track including integrating with all the different things. So Matillion's job holding up the end of the bargain that Hoshang was just talking about there is to ensure we keep putting the features integrations and support into the Data Productivity Cloud to make sure that Hoshang's team can continue to live inside it and do all the things they need to do. >> Hoshang, you talked about the speed to insight being tremendously fast, but if I'm looking at Cisco Meraki from a high level business outcome perspective, what are some of those outcomes that a Matillion is helping Cisco Meraki to achieve. >> So I can just talk in general, not giving you like any specific numbers or anything, but for example, we were trying to understand how well our small and medium business campaigns were doing and we had to actually pull in data from multiple different sources. So not just, our instances of Marketo and Salesforce, we had to look at our internal databases. So Matillion helped us blend all of that together. Once I had all of that data blended, it was then ready to be analyzed. And once we had that analysis done, we were able to confirm that our SMB campaigns were doing well but these the things that we need to do to improve them. When we did that and all of that happened so quickly because they were like, well you need to get data from here, you need to get data from there. And we're like, great, we'll just plug, plug, plug. We put it all together, build transformations and you know we produced this insight and then we were able to reform, refine, and keep getting better and better at it. And you know, we had a 40X return on SMB campaigns. It's unbelievable. >> And there's the revenue tie in right there. >> Hoshang: Yeah. >> Matthew, I know you've been super busy, tons of meetings, you didn't get to see the whole keynote, but one of the themes of Adam Selipsky's keynote was, you know, the three letter word of ETL, they laid out a vision of zero ETL and then they announced zero ETL for Aurora and Redshift. And you think about ETL, I remember the days they said, "Okay, we're going to do ELT." Which is like, raising the debt ceiling, we're just going to kick the can down the road. So, what do you think about that vision? You know, how does it relate to what you guys are doing? >> So there was a, I don't know if this only works in the UK or it works globally. It was a good line many years ago. Rumors of my death are premature or so I think it was an obituary had gone out in the times by accident and that's how the guy responded to it. Something like that. It's a little bit like that. The announcement earlier within the AWS space of zero ETL between platforms like Aurora and Redshift and perhaps more over time is really about data movement, right? So it's about do I need to do a load of high cost in terms of coding and compute, movement of data between one platform, another. At Matillion, we've always seen data movement as an enabling technology, which gets you to the value add of transformation. My favorite metaphor to bring this to life is one of iron. So the world's made of iron, right? The world is literally made of iron ore but iron ore isn't useful until you turn it to steel. Loading data is digging out iron ore from the ground and moving it to the refinery. Transformation of data is turning iron ore into steel and what the announcements you saw earlier from AWS are more about the quarry to the factory bit than they are about the iron ore to the steel bit. And so, I think it's great that platforms are making it easier to move data between them, but it doesn't change the need for Hoshang's business professionals to refine that data into something useful to drive their marketing campaigns. >> Exactly, it's quarry to the factory and a very Snowflake like in a way, right? You make it easy to get in. >> It's like, don't get me wrong, I'm great to see investment going into the Redshift business and the AWS data analytics stack. We do a lot of business there. But yes, this stuff is also there on Snowflake, already. >> I mean come on, we've seen this for years. You know, I know there's a big love fest between Snowflake and AWS 'cause they're selling so much business in the field. But look that we saw it separating computing from storage, then AWS does it and now, you know, why not? It's good sense. That's what customers want. The customer obsessed data sharing is another thing. >> And if you take data sharing as an example from our friends at Snowflake, when that was announced a few people possibly, yourselves, said, "Oh, Matthew what do you think about this? You're in the data movement business." And I was like, "Ah, I'm not really actually, some of my competitors are in the data movement business. I have data movement as part of my platform. We don't charge directly for it. It's just part of the platform." And really what it's to do is to get the data into a place where you can do the fun stuff with it of refining into steel. And so if Snowflake or now AWS and the Redshift group are making that easier that's just faster to fun for me really. >> Yeah, sure. >> Last question, a question for both of you. If you had, you have a brand new shiny car, you got a bumper sticker that you want to put on that car to tell everyone about Matillion, everyone about Cisco Meraki, what does that bumper sticker say? >> So for Matillion, it says Matillion is the Data Productivity Cloud. We help you make your data business ready, faster. And then for a joke I'd write, "Which you are going to need in the face of this tsunami of data." So that's what mine would say. >> Love it. Hoshang, what would you say? >> I would say that Cisco makes some of the best products for IT professionals. And I don't think you can, really do the things you do in IT without any Cisco product. Really phenomenal products. And, we've gone so much beyond just the IT realm. So you know, it's been phenomenal. >> Awesome. Guys, it's been a pleasure having you back on the program. Congrats to you now Hoshang, an alumni of theCUBE. >> Thank you. >> But thank you for talking to us, Matthew, about what's going on with Matillion so much since we've seen you last. I can imagine how much worse going to go on until we see you again. But we appreciate, especially having the Cisco Meraki customer example that really articulates the value of data for everyone. We appreciate your insights and we appreciate your time. >> Thank you. >> Privilege to be here. Thanks for having us. >> Thank you. >> Pleasure. For our guests and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage.
SUMMARY :
One of the things that you and the theme is simplifying data Guys, great to have you on the program. you just a few months ago What's gone on since we've seen you last? And the Data Productivity Cloud Hoshang talk to us a little And so that's the brilliance of Matillion but it only gets you a And so I mentioned the Data So the speed to insight is is that the visual metaphor, if you don't have a and things and you were trying So, confirms what you were saying to help you do that. and do all the things they need to do. Hoshang, you talked about the speed And you know, we had a 40X And there's the revenue to what you guys are doing? the guy responded to it. Exactly, it's quarry to the factory and the AWS data analytics stack. now, you know, why not? And if you take data you want to put on that car We help you make your data Hoshang, what would you say? really do the things you do in Congrats to you now Hoshang, until we see you again. Privilege to be here. the leader in live enterprise
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Brad Smith & Simon Ponsford | AWS re:Invent 2022
foreign continued coverage of AWS re invent my name is Savannah Peterson and I am very excited to be joined by two brilliant blokes in the space of efficiency and performance whether you're on Prem or in the cloud today's discussion is going to be fascinating please welcome Brad and Simon to the show how are you Simon coming in from the UK how you feeling well thank you excellent and Brad we have you coming in from Seattle how are you this morning doing fine thank you excellent and feeling bookish given your background love that I know that you both really care about efficiency and performance it's a very hot topic both of the show and in the industry right now I'm curious I'm going to open it up with you Simon what challenges and I think you've actually continued to tackle these throughout the course of your career what challenges were you facing and wanting to solve when you started yellow dog um really we're just looking at cloud and coming from an on-premise environment really wanted to be able to make accessing Cloud particularly a volume to be simple and straightforward um if you look at today at the number of instance types available from the major Cloud providers there's more than seven thousand different instance types whereas on-prem you go along you select your processes you select your systems it's already be really easy when you hit the cloud you've just got this amazing amount of choice so really it was all about how can you make Intelligent Decisions for you know are you going to run your workload how to match it with what you've got on premise and that was really the inspiration for Rafael so staying there for just a second what does yellow dog provide customers is a SAS system so um you get to it by accessing through the yellow platform and what it allows people to do is to be able to make Intelligent Decisions about where to run their workload would that be on premise or in the cloud it has a wealth of information it understands the costs the performance the latency and the availability of every different instance type in all different clouds it really allows people to uh to be able to make use of that information provision exactly what they need and to be able to run their workloads yeah it also includes a provisioner and it also includes a scheduler as well which is a cloud native scheduler so it's designed to be able to cope with um with cloud in terms of things like spots and interruptions and be able to uh to reschedule and fail over between clouds if there's ever need to do so yeah that sounds incredible and I know this means a lot for partners like AMD Brad talk to me about the partnership and what this means for AMD for your customers yeah absolutely it you know we're excited to be aligned with the uh with a company like yellow dog it's it's um you know the the importance of compute is becoming more and more prevalent every day and it's it's always been top of mind but especially now when you think about what the uh what the economy and the rest of the world is kind of facing over the next you know probably a year or longer it's so important that um that you're able to maximize your dollars and your spend and doing away with uh with uh with absolute certainty that you've got the right type of people behind you uh ensuring that you're your dollars are being spent very wisely and the great thing about yell dogs that they have tremendous insight into uh into cost optimization computer optimization across the entire Globe their their indexes is quite remarkable and what it does is it allows uh customers to actually see just how performant and cost efficient AMD is so it allows us to really put our best foot forward and and gives customers a chance to understand something that they probably weren't uh more familiar with the fact that uh that AMD uh is a tremendous a tremendous value in the marketplace yeah and and uh Simon can you tell us a little bit more about the yellow dog index I'm glad you brought that up Brad yes the yellow index is uh is essentially it's live it's available for anyone to access you can just go to index.yam.tech and you'll be able to see pretty much every single instance type that's available from all the major Cloud providers and be able to make your selection are you looking for GPU type nodes are you looking for AMD processors are you looking just for performance essentially what you're able to do is create a live view of effectively what's available in different data centers around the world and the price at this moment in time also just uh as Brad mentioned in terms of you know cost efficiency and uh and being taking green values seriously as we should we should do the yellow index also has the ability to be able to see at that point in time where the best place to be at a runner job is based upon the lowest carbon impact of running at this moment in time and that for many organizations gives an amazing Insight in not just about being able to find the the understand fishing processes but being able to ensure the greenest energy possible is powering that process when you want to be able to run your workload it's so powerful what you just said and I think when we exactly it's not just about it's not just about power but it's about place when we are are looking at Global Computing at scale what I know that there's ESG advantages in and ESG being a very hot topic when we're talking about AMW on AWS and and and leveraging tools like yellow dog what other sorts of advantages Beyond being least carbon impactful can your Mutual customers benefit from so it's not like I say there's many other features you know a very important thing when you're running a high performance Computing workload is being able to match the instruction set that you're running on premise and then being able to use that in the cloud as well and also to be able to make Intelligent Decisions of where should something run should would something be more efficient um to build on premise should we always try and maximize our on-premise resources before going into the cloud there's a lot about being able to just be able to make decisions and yellow itself it makes thousands of decisions per second to be in a workout where the the best and most optimized places to to run your workload yeah so Brad you work with a lot of companies at scale what type of scale is possible when leveraging Technologies like AMD and yellow dog combined well you know I love the fact that you mentioned uh you know HPC and it's one of the areas that actually is most exciting for for me personally and for and for AMD with the combination of yellow dog and AWS and AWS launched the very first HPC uh instance type last year and you know we're we're we haven't even begun to answer a question we haven't gotten to see um the full-scale capability in the cloud when it comes to these uh these very coordinated and very refined workloads that are running at massive scale and and uh you know we've got some some products we'll be launched in the near future as well that are incredibly performant and you know to be honest I don't think I don't think we have even come close to seeing the scale relative to somebody's very optimized workloads in HPC uh that that we're capable of so um we're excited we're excited for the next few years to see how how we can wrap in um some of the tremendous success that AMD has had on-prem in these these these massive compute centers and replicating that same success inside AWS with companies like yellow dog it's uh it we're excited to see what uh what's what's going to come forward can you give us a preview of anything on the record that gets you really excited about the future I was going to ask you what what had you looking forward to 2023 and Beyond but nothing well not nothing official of course uh but um I will say this you know AMD has recently successful had the launch for Genoa uh it's our next next-gen release and it is um it is proving to be it absolutely is the dominant compute engine it at this point that exists and you know when you start to couple that with the the prowess of AWS you know you could see that over time becoming something potentially that um you know um can really start to change the compute landscape quite a bit so we're hopeful that you know in the future we'll have something along those lines uh with AWS and others and um we're very uh we're very bullish in that area love it uh Simon what about you you've been passionate about low carbon I.T for a long time is carbon neutral Tech in our future what I realize is a bold and lofty claim for you but feel free to give us any of your future predictions um yeah so well I started here trying to build solutions for you know many years ago so 2006 um I was part of a team that launched the the world's lowest powered Windows PC that was actually based on the AMD technology back then so uh you can tell that AMD have been working on a low power for us for a long time in terms of carbon neutral yes I think um certainly there's a there's a few data centers around the world now that are getting very close to uh to carbon neutral some of which may have already achieved it so that's really interesting but so you know the the second part of that is really the the manufacturer of everything that goes into those Services systems and being able to to get to uh you know a net zero on those over a period of time and when we do that which is yeah not without challenges but but certainly possible then we really will have carbon neutral I.T which will be uh a benefit to everyone you know mankind itself yeah casual statement and I have to say that I wholeheartedly agree I think that it's one of the greater challenges of Our Generation especially as what we're able to do in HPC in particular since we're talking about it is only going to grow and scale and magnitude and the amount of data that we have to organize certain process is is wild even today so I love that I'm curious is there anything that you can share with us that's in the pipeline for Yellow Dog anything coming up in the future that's very exciting um so we're coming up very soon um we're going to release something called um version 4 again log which contains um what we call a resource framework which is all about making sure you've got everything you need before you run a job either on-prem or in the cloud so that might be anything from making sure you've got the right licenses making sure that your data is all in the right location making sure you've got all aspects of your workflow ready before you start launching compute and start really but you know burning through dollars with computer could potentially sat there uh not not doing anything until other tasks keep catch up so we're really excited about this new V4 release which will uh which will come out very soon awesome we can't wait to learn more about that hopefully here again on the cube Brad what do Partnerships with companies like yellowdog meme for you and for the customers that you're able to serve yeah it's it's incredibly important I it's you know there's one of the difficulties in in compute that we have today especially in Cloud compute there's there's so much available at this point I mean there was a point in time it was very simple and straightforward it's not even close to being that anymore green so you know one of the things I love about yellow dog itself is actually it does a great they do a great job of making very complex situations and environments fairly simple to understand especially from a business perspective and so one of the things that we love about it is it actually helps our customers you know the AMD direct customers better understand how to properly use our technology and to get the most out of it and so it's difficult for us to articulate that message because you know we are a Semiconductor Company so sometimes it's a little tough to be able to articulate workloads and applications in the way that our customer base will be able to understand but you know it's it's so critical to have companies like yellow dog in the middle that can actually you know make that translation for us directly to the customer um you know and and especially too when you start thinking about ESG and environmental relationships and I'd like to make a comment and one of the things that is fantastic about AMD AWS and yellow we all share the same Mission and we're very public about those missions about just being better to the to the planet and um you know AMD has taken some very aggressive uh targets through 2025 much beyond anything that the industry has expected and you know because of that we are you know we are the most um we are the most power efficient xa6 product on the marketplace and it's not even close and you know I look forward to the day when uh you know you start looking at instance types inside these public Cloud providers in conjunction with the old dog and you can actually even start to see maybe potentially what that carbon footprint is based on those decisions you make on compute and um you know considering that more than half to spend for everybody is generally compute in these environments it's critical to really know what your true impact in the world is and um it's just one of the best parts about a partnership like this oh what a wonderful note to close on and I love both the Synergy between all the partners on a technology level but most importantly on a mission level because none of it matters if we don't have a planet that we can continue to innovate on so I'm I'm really grateful that you're both here fighting a good fight working together and also making a lot of information available for companies of all different sizes as they're navigating very complex decision trees in and operating their stack so thank you both Simon and Brad I really appreciate your time it's been incredibly insightful and thank you to our audience for tuning in to our continuing coverage of AWS re invent here on thecube my name is Savannah Peterson and I look forward to learning more with you soon foreign [Music]
SUMMARY :
to the day when uh you know you start
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Florian Berberich, PRACE AISBL | SuperComputing 22
>>We're back at Supercomputing 22 in Dallas, winding down day four of this conference. I'm Paul Gillan, my co-host Dave Nicholson. We are talking, we've been talking super computing all week and you hear a lot about what's going on in the United States, what's going on in China, Japan. What we haven't talked a lot about is what's going on in Europe and did you know that two of the top five supercomputers in the world are actually from European countries? Well, our guest has a lot to do with that. Florian, bearish, I hope I pronounce that correctly. My German is, German is not. My strength is the operations director for price, ais, S B L. And let's start with that. What is price? >>So, hello and thank you for the invitation. I'm Flon and Price is a partnership for Advanced Computing in Europe. It's a non-profit association with the seat in Brussels in Belgium. And we have 24 members. These are representatives from different European countries dealing with high performance computing in at their place. And we, so far, we provided the resources for our European research communities. But this changed in the last year, this oral HPC joint undertaking who put a lot of funding in high performance computing and co-funded five PET scale and three preis scale systems. And two of the preis scale systems. You mentioned already, this is Lumi and Finland and Leonardo in Bologna in Italy were in the place for and three and four at the top 500 at least. >>So why is it important that Europe be in the top list of supercomputer makers? >>I think Europe needs to keep pace with the rest of the world. And simulation science is a key technology for the society. And we saw this very recently with a pandemic, with a covid. We were able to help the research communities to find very quickly vaccines and to understand how the virus spread around the world. And all this knowledge is important to serve the society. Or another example is climate change. Yeah. With these new systems, we will be able to predict more precise the changes in the future. So the more compute power you have, the better the smaller the grid and there is resolution you can choose and the lower the error will be for the future. So these are, I think with these systems, the big or challenges we face can be addressed. This is the climate change, energy, food supply, security. >>Who are your members? Do they come from businesses? Do they come from research, from government? All of the >>Above. Yeah. Our, our members are public organization, universities, research centers, compute sites as a data centers, but But public institutions. Yeah. And we provide this services for free via peer review process with excellence as the most important criteria to the research community for free. >>So 40 years ago when, when the idea of an eu, and maybe I'm getting the dates a little bit wrong, when it was just an idea and the idea of a common currency. Yes. Reducing friction between, between borders to create a trading zone. Yes. There was a lot of focus there. Fast forward to today, would you say that these efforts in supercomputing, would they be possible if there were not an EU super structure? >>No, I would say this would not be possible in this extent. I think when though, but though European initiatives are, are needed and the European Commission is supporting these initiatives very well. And before praise, for instance 2008, there were research centers and data centers operating high performance computing systems, but they were not talking to each other. So it was isolated praise created community of operation sites and it facilitated the exchange between them and also enabled to align investments and to, to get the most out of the available funding. And also at this time, and still today for one single country in Europe, it's very hard to provide all the different architectures needed for all the different kind of research communities and applications. If you want to, to offer always the latest technologies, though this is really hardly possible. So with this joint action and opening the resources for other research groups from other countries, you, we, we were able to, yeah, get access to the latest technology for different communities at any given time though. And >>So, so the fact that the two systems that you mentioned are physically located in Finland and in Italy, if you were to walk into one of those facilities and meet the people that are there, they're not just fins in Finland and Italians in Italy. Yeah. This is, this is very much a European effort. So this, this is true. So, so in this, in that sense, the geography is sort of abstracted. Yeah. And the issues of sovereignty that make might take place in in the private sector don't exist or are there, are there issues with, can any, what are the requirements for a researcher to have access to a system in Finland versus a system in Italy? If you've got a EU passport, Hmm. Are you good to go? >>I think you are good to go though. But EU passport, it's now it becomes complicated and political. It's, it's very much, if we talk about the recent systems, well first, let me start a praise. Praise was inclusive and there was no any constraints as even we had users from US, Australia, we wanted just to support excellence in science. And we did not look at the nationality of the organization, of the PI and and so on. There were quotas, but these quotas were very generously interpreted. So, and if so, now with our HPC joint undertaking, it's a question from what European funds, these systems were procured and if a country or being country are associated to this funding, the researchers also have access to these systems. And this addresses basically UK and and Switzerland, which are not in the European Union, but they were as created to the Horizon 2020 research framework. And though they could can access the systems now available, Lumi and Leono and the Petascale system as well. How this will develop in the future, I don't know. It depends to which research framework they will be associated or not. >>What are the outputs of your work at price? Are they reference designs? Is it actual semiconductor hardware? Is it the research? What do you produce? >>So the, the application we run or the simulation we run cover all different scientific domains. So it's, it's science, it's, but also we have industrial let projects with more application oriented targets. Aerodynamics for instance, for cars or planes or something like this. But also fundamental science like the physical elementary physics particles for instance or climate change, biology, drug design, protein costa, all these >>Things. Can businesses be involved in what you do? Can they purchase your, your research? Do they contribute to their, I'm sure, I'm sure there are many technology firms in Europe that would like to be involved. >>So this involving industry though our calls are open and is, if they want to do open r and d, they are invited to submit also proposals. They will be evaluated and if this is qualifying, they will get the access and they can do their jobs and simulations. It's a little bit more tricky if it's in production, if they use these resources for their business and do not publish the results. They are some, well, probably more sites who, who are able to deal with these requests. Some are more dominant than others, but this is on a smaller scale, definitely. Yeah. >>What does the future hold? Are you planning to, are there other countries who will be joining the effort, other institutions? Do you plan to expand your, your scope >>Well, or I think or HPC joint undertaking with 36 member states is quite, covers already even more than Europe. And yeah, clearly if, if there are other states interest interested to join that there is no limitation. Although the focus lies on European area and on union. >>When, when you interact with colleagues from North America, do you, do you feel that there is a sort of European flavor to supercomputing that is different or are we so globally entwined? No. >>So research is not national, it's not European, it's international. This is also clearly very clear and I can, so we have a longstanding collaboration with our US colleagues and also with Chap and South Africa and Canada. And when Covid hit the world, we were able within two weeks to establish regular seminars inviting US and European colleagues to talk to to other, to each other and exchange the results and find new collaboration and to boost the research activities. So, and I have other examples as well. So when we, we already did the joint calls US exceed and in Europe praise and it was a very interesting experience. So we received applications from different communities and we decided that we will review this on our side, on European, with European experts and US did it in US with their experts. And you can guess what the result was at the meeting when we compared our results, it was matching one by one. It was exactly the same. Recite >>That it, it's, it's refreshing to hear a story of global collaboration. Yeah. Where people are getting along and making meaningful progress. >>I have to mention you, I have to to point out, you did not mention China as a country you were collaborating with. Is that by, is that intentional? >>Well, with China, definitely we have less links and collaborations also. It's also existing. There, there was initiative to look at the development of the technologies and the group meet on a regular basis. And there, there also Chinese colleagues involved. It's on a lower level, >>Yes, but is is the con conversations are occurring. We're out of time. Florian be operations director of price, European Super Computing collaborative. Thank you so much for being with us. I'm always impressed when people come on the cube and submit to an interview in a language that is not their first language. Yeah, >>Absolutely. >>Brave to do that. Yeah. Thank you. You're welcome. Thank you. We'll be right back after this break from Supercomputing 22 in Dallas.
SUMMARY :
Well, our guest has a lot to do with that. And we have 24 members. And we saw this very recently with excellence as the most important criteria to the research Fast forward to today, would you say that these the exchange between them and also enabled to So, so the fact that the two systems that you mentioned are physically located in Finland nationality of the organization, of the PI and and so on. But also fundamental science like the physical Do they contribute to their, I'm sure, I'm sure there are many technology firms in business and do not publish the results. Although the focus lies on European area is different or are we so globally entwined? so we have a longstanding collaboration with our US colleagues and That it, it's, it's refreshing to hear a story of global I have to mention you, I have to to point out, you did not mention China as a country you the development of the technologies and the group meet Yes, but is is the con conversations are occurring. Brave to do that.
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Amar & Lianne, Accenture
(bright upbeat music) >> Well, hello everybody. John Walls is here on "the CUBE". Great to have you with us as we continue our series here at the AWS Executive Summit sponsored by Accenture. And today we're talking about public service and not just a little slice of public service but probably the largest public sector offering in the UK and for with us or with us. Now to talk about that is Lianne Anderton, who is in with the Intelligent Automation Garage Delivery Lead at the UK Department of Work and Pension. Lianne, good to see you today. Thanks for joining us here on "the CUBE". >> Hi, thanks for having me. >> And also with this us is Amar Narayan, who is a Manager Director at Accenture the AWS Business Group for the Lead in Health and Public Sector, also UK and Ireland. And Amar, I think, you and Lianne, are in the same location, Newcastle, I believe in the UK, is that right? >> Yeah, absolutely. Yep, yeah, we're, here in the northeast of UK. >> Well, thank you for being with us. I appreciate the time. Lianne, let's talk about what you do, the Department of Work and Pension, the famous DWP in England. You have influence or certainly touchpoints with a huge amount of the British population. In what respects, what are you doing for the working class in England and what does technology have to do with all that? >> Sure, so for the Department for Work and Pensions I think the pensions bit is fairly self explanatory so anybody who is over state pension age within the UK. for the work part of that we also deal with people of working age. So, these are people who are either in employment and need additional help through various benefits we offer in the UK. Those people who are out of work. And we also deal with health related benefits as well. And we are currently serving over 20 million claimants every year at this moment in time. So, we're aware of a huge part of the UK government. >> All right, so say that number again. How many? >> 20 million claimants every year. >> Million with an M, right? >> Yeah. >> So, and that's individuals. And so how many transactions, if you will, how many do you think you process in a month? How, much traffic basically, are you seeing? >> An extraordinary amount? I'm not even, I don't think I even know that number. (Lianne laughing) >> Mind blowing, right? So, it's- >> A huge, huge amount. >> Mind blowing. >> Yeah, so, basically the we kind of keep the country going. So, you know, if the department for Work and Pensions kind of didn't exist anymore then actually it would cause an infinite number of problems in society. We, kind of help and support the people who need that. And, yeah, so we play a really vital role in kind of you know, social care and kind of public service. >> So, what was your journey to Accenture then? What, eventually led you to them? What problem were you having and how have you collaborated to solve that? >> So, in terms of how we work with Accenture. So, we had in around 2017 DWP was looking at a projected number of transactions growing by about 210 million which was, you know, an extraordinary amount. And, you know, I think as we've kind of covered everything that we do is on a massive scale. So, we as DWP as an organization we had absolutely no idea how we were going to be able to handle such a massive increase in the transactions. And actually, you know, after kind of various kind of paths and ideas of how we were going to do that, automation, was actually the answer. But the problem that we have with that is that we have, like many governments around the world, we have really older legacy systems. So, each of these benefits that we deal with are on legacy systems. So, whatever we were going to develop had to, you know, connect to all of these, it had to ingest and then process all of these pieces of data some of which, you know, given the fact that a lot of these systems have a lot of manual input you have data issues there that you have to solve and whatever we did, you know, as we've talked about in terms of volumes has to scale instantly as well. So, it has to be able to scale up and down to meet demand and, you know, and that down scaling is also equally as important. So yeah, you've got to be able to scale up to meet the volumes but also you've got to be able to downscale when when it's not needed. But we had nothing that was like that kind of helped us to meet that demand. So, we built our own automation platform, The Intelligent Automation Garage and we did that with Accenture. >> So Amar, I'd like you to chime in here then. So, you're looking at this client who has this massive footprint and obviously vital services, right? So, that's paramount that you have to keep that in mind and the legacy systems that Lianne was just talking about. So, now you're trying to get 'em in the next gen but also respecting that they have a serious investment already in a lot of technology. How do you approach that kind of problem solving, those dynamics and how in this case did you get them to automation as the solution? >> Sure, so I think I think one of the interesting things, yeah as Lianne has sort of described it, right? It's effectively like, you know the department has to have be running all of the time, right? They can't, you know, they can't effectively stop and then do a bunch of IT transformation, you know it's effectively like, you know, changing the wheels of a jumbo jet whilst it's taking off, right? And you've got to do all of that all in one go. But what I think we really, really liked about the situation that we were in and the client relationship we had was that we knew we had to it wasn't just a technology play, we couldn't just go, "All right, let's just put some new technology in." What we also needed to do was really sort of create a culture, an innovation culture, and go, "Well how do we think about the problems that we currently have and how do we think about solving them differently and in collaboration, right?" So, not just the, "Let's just outsource a bunch of technology for to, you know, to Accenture and build a bunch of stuff." So, we very carefully thought about, well actually, the unique situation that they're in the demands that the citizens have on the services that the department provide. And as Lianne mentioned, that technology didn't exist. So, we fundamentally looked at this in a different way. So, we worked really closely with the department. We said, Look, actually what we ultimately need is the equivalent of a virtual workforce. Something where if you already, you know all of a sudden had a hundred thousand pension claims that needed to be processed in a week that you could click your fingers and, you know in a physical world you'd have another building all of your kits, a whole bunch of trained staff that would be able to process that work. And if in the following week you didn't need that you no longer needed that building that stuff or the machinery. And we wanted to replicate that in the virtual world. So, we started designing a platform we utilized and focused on using AWS because it had the scalability. And we thought about, how were we going to connect something as new as AWS to all of these legacy systems. How are we going to make that work in the modern world? How are we going to integrate it? How we going to make sure it's secure? And frankly, we're really honest with the client we said, "Look, this hasn't been done before. Like, nowhere in Accenture has done it. No one's done it in the industry. We've got some smart people, I think we can do it." And, we've prototyped and we've built and we were able to prove that we can do that. And that in itself just created an environment of solving tricky problems and being innovative but most importantly not doing sort of proof of concepts that didn't go anywhere but building something that actually scaled. And I think that was really the real the start of what was has been the Garage. >> So, And Lianne, you mentioned this and you just referred to it Amar, about The Garage, right? The Intelligent Automation Garage. What exactly is it? I mean, we talked about it, what the needs are all this and that, but Lianne, I'll let you jump in first and Amar, certainly compliment her remarks, but what is the IAG, what's the... >> So, you know, I think exactly what kind of Amar, has said from a from a kind of a development point of view I think it started off, you know, really, really small. And the idea is that this is DWP, intelligent automation center of excellence. So, you know, it's aims are that, you know, it makes sure that it scopes out kind of the problems that DWP are are facing properly. So, we really understand what the crux of the problem is. In large organizations It's very easy, I think to think you understand what the problem is where actually, you know, it is really about kind of delving into what that is. And actually we have a dedicated design team that really kind of get under the bonnet of what these issues really are. It then kind of architects what the solutions need to look like using as Amar said, all the exciting new technology that we kind of have available to us. That kind of sensible solution as to what that should look like. We then build that sensible solution and we then, you know as part of that, we make sure that it scales to demand. So, something that might start out with, I dunno, you know a few hundred claimants or kind of cases going through it can quite often, you know, once that's that's been successful scale really, really quickly because as you know, we have 20 million claimants that come through us every year. So, these types of things can grow and expand but also a really key function of what we do is that we have a fully supported in-house service as well. So, all of those automations that we build are then maintained and you know, so any changes that kind of needed to be need to be made to them, we have all that and we have that control and we have our kind of arms wrapped around all of those. But also what that allows us to do is it allows us to be very kind of self-sufficient in making sure that we are as sufficient, sorry, as efficient as possible. And what I mean by that is looking at, you know as new technologies come around and they can allow us to do things more effectively. So, it allows us to kind of almost do that that kind of continuous improvement ourselves. So, that's a huge part of what we do as well. And you know, I think from a size point of view I said this started off really small as in the idea was this was a kind of center of excellence but actually as automation, I think as Amar alluded to is kind of really started to embed in DWP culture what we've started to kind of see is the a massive expansion in the types of of work that people want us to do and the volume of work that we are doing. So, I think we're currently running at around around a hundred people at the moment and I think, you know we started off with a scrum, a couple of scrum teams under Amar, so yeah, it's really grown. But you know, I think this is here to stay within DWP. >> Yeah, well when we talk about automation, you know virtual and robotics and all this I like to kind of keep the human element in mind here too. And Amar, maybe you can touch on that in certain terms of the human factors in this equation. 'Cause people think about, you know, robots it means different things to different people. In your mind, how does automation intersect with the human element here and in terms of the kinds of things Lianne wants to do down the road, you know, is a road for people basically? >> Oh yeah, absolutely. I think fundamentally what the department does is support people and therefore the solutions that we designed and built had to factor that in mind right? We were trying to best support and provide the best service we possibly can. And not only do we need to support the citizens that it supports. The department itself is a big organization, right? We're up to, we're talking between sort of 70 and 80,000 employees. So, how do we embed automation but also make the lives of the, of the DWP agents better as well? And that's what we thought about. So we said, "Well look, we think we can design solutions that do both." So, a lot of our automations go through a design process and we work closely with our operations team and we go, well actually, you know in processing and benefit, there are some aspects of that processing that benefit that are copy and paste, right? It doesn't require much thought around it, but it just requires capturing data and there's elements of that solution or that process that requires actual thought and understanding and really empathy around going, "Well how do I best support this citizen?" And what we tended to do is we took all of the things that were sort of laborious and took a lot of time and would slow down the overall process and we automated those and then we really focused on making sure that the elements that required the human, the human input was made as user friendly and centric as we possibly could. So, if there's a really complex case that needs to be processed, we were able to present the information in a really digestible and understandable way for the agents so that they could make a informed and sensible decision based around a citizen. And what that enabled us to do is essentially meet the demands of the volumes and the peaks that came in but also maintain the quality and if not improve, you know the accuracy of the claims processing that we had. >> So, how do you know, and maybe Lianne, you can address this. How do you know that it's successful on both sides of that equation? And, 'cause Amar raised a very good point. You have 70 to 80,000 employees that you're trying to make their work life much more efficient, much simpler and hopefully make them better at their jobs at the end of the day. But you're also taking care of 20 million clients on the, your side too. So, how do you, what's your measurement for success and what kind of like raw feedback do you get that says, "Okay, this has worked for both of our client bases, both our citizens and our employees?" >> Yeah, so we can look at this both from a a quantitative and a qualitative point of view as well. So, I think from a let take the kind figures first. So we are really hot on making sure that whatever automations we put in place we are there to measure how that automation is working what it's kind of doing and the impact that it's having from an operational point of view. So I think, you know, I think the proof of the fact that the Intelligent Automation Garage is working is that, you know, in the, in its lifetime, we've processed over 20 million items and cases so far. We have 65 scaled and transitioned automations and we've saved over 2 million operational hours. I was going to say that again that's 2 million operational hours. And what that allows us to do as an organization those 2 million hours have allowed us to rather than people as Amar, said, cutting and pasting and doing work that that is essentially very time consuming and repetitive. That 2 million hours we've been able to use on actual decision making. So, the stuff that you need as sentient human being to make judgment calls on and you know and kind of make those decisions that's what it's allowed us as an organization to do. And then I think from a quality point of view I think the feedback that we have from our operational teams is, you know is equally as as great. So, we have that kind of feedback from, you know all the way up from to the director level about, you know how it's kind of like I said that freeing up that time but actually making the operational, you know they don't have an easy job and it's making that an awful lot easier on a day to day basis. It has a real day to day impact. But also, you know, there are other things that kind of the knock on effects in terms of accuracy. So for example, robot will do is exactly as it's told it doesn't make any mistakes, it doesn't have sick days, you know, it does what it says on the tin and actually that kind of impact. So, it's not necessarily, you know, counting your numbers it's the fact that then doesn't generate a call from a customer that kind of says, "Well you, I think you've got this wrong." So, it's all that kind of, these kind of ripple effects that go out. I think is how we measure the fact that A, the garage is working and b, it's delivering the value that we needed to deliver. >> Robots, probably ask better questions too so yeah... (Lianne laughing) So, real quick, just real quick before you head out. So, the big challenge next, eureka, this works, right? Amar, you put together this fantastic system it's in great practice at the DWP, now what do we do? So, it's just in 30 seconds, Amar, maybe if you can look at, be the headlights down the road here for DWP and say, "This is where I think we can jump to next." >> Yeah, so I think, what we've been able to prove as I say is that is scaled innovation and having the return and the value that it creates is here to stay, right? So, I think the next things for us are a continuous expand the stuff that we're doing. Keeping hold of that culture, right? That culture of constantly solving difficult problems and being able to innovate and scale them. So, we are now doing a lot more automations across the department, you know, across different benefits across the digital agenda. I think we're also now becoming almost a bit of the fabric of enabling some of the digital transformation that big organizations look at, right? So moving to a world where you can have a venture driven architectures and being able to sort of scale that. I also think the natural sort of expansion of the team and the type of work that we're going to do is probably also going to expand into sort of the analytics side of it and understanding and seeing how we can take the data from the cases that we're processing to overall have a smoother journey across for our citizens. But it's looking, you know, the future's looking bright. I think we've got a number of different backlogs of items to work on. >> Well, you've got a great story to tell and thank you for sharing it with us here on "the CUBE", talking about DWP, the Department of Work and Pensions in the UK and the great work that Accenture's doing to make 20 million lives plus, a lot simpler for our friends in England. You've been watching ""the CUBE"" the AWS Executive Summit sponsored by Accenture. (bright upbeat music)
SUMMARY :
in the UK and for with us or with us. And Amar, I think, you and in the northeast of UK. Lianne, let's talk about what you do, And we also deal with health All right, so say that number again. And so how many transactions, if you will, I even know that number. So, you know, if the department But the problem that we have with that and the legacy systems that that in the virtual world. and you just referred to it So, all of those automations that we build of the kinds of things Lianne and we go, well actually, you know So, how do you know, and maybe Lianne, So, the stuff that you need So, the big challenge next, the department, you know, story to tell and thank you
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Brian Gracely & Idit Levine, Solo.io | KubeCon CloudNativeCon NA 2022
(bright upbeat music) >> Welcome back to Detroit guys and girls. Lisa Martin here with John Furrier. We've been on the floor at KubeCon + CloudNativeCon North America for about two days now. We've been breaking news, we would have a great conversations, John. We love talking with CUBE alumni whose companies are just taking off. And we get to do that next again. >> Well, this next segment's awesome. We have former CUBE host, Brian Gracely, here who's an executive in this company. And then the entrepreneur who we're going to talk with. She was on theCUBE when it just started now they're extremely successful. It's going to be a great conversation. >> It is, Idit Levine is here, the founder and CEO of solo.io. And as John mentioned, Brian Gracely. You know Brian. He's the VP of Product Marketing and Product Strategy now at solo.io. Guys, welcome to theCUBE, great to have you here. >> Thanks for having us. >> Idit: Thank so much for having us. >> Talk about what's going on. This is a rocket ship that you're riding. I was looking at your webpage, you have some amazing customers. T-Mobile, BMW, Amex, for a marketing guy it must be like, this is just- >> Brian: Yeah, you can't beat it. >> Kid in a candy store. >> Brian: Can't beat it. >> You can't beat it. >> For giant companies like that, giant brands, global, to trust a company of our size it's trust, it's great engineering, it's trust, it's fantastic. >> Idit, talk about the fast trajectory of this company and how you've been able to garner trust with such mass organizations in such a short time period. >> Yes, I think that mainly is just being the best. Honestly, that's the best approach I can say. The team that we build, honestly, and this is a great example of one of them, right? And we're basically getting the best people in the industry. So that's helpful a lot. We are very, very active on the open source community. So basically it building it, anyway, and by doing this they see us everywhere. They see our success. You're starting with a few customers, they're extremely successful and then you're just creating this amazing partnership with them. So we have a very, very unique way we're working with them. >> So hard work, good code. >> Yes. >> Smart people, experience. >> That's all you need. >> It's simple, why doesn't everyone do it? >> It's really easy. (all laughing) >> All good, congratulations. It's been fun to watch you guys grow. Brian, great to see you kicking butt in this great company. I got to ask about the landscape because I love the ServiceMeshCon you guys had on a co-located event on day zero here as part of that program, pretty packed house. >> Brian: Yep. >> A lot of great feedback. This whole ServiceMesh and where it fits in. You got Kubernetes. What's the update? Because everything's kind of coming together- >> Brian: Right. >> It's like jello in the refrigerator it kind of comes together at the same time. Where are we? >> I think the easiest way to think about it is, and it kind of mirrors this event perfectly. So the last four or five years, all about Kubernetes, built Kubernetes. So every one of our customers are the ones who have said, look, for the last two or three years, we've been building Kubernetes, we've had a certain amount of success with it, they're building applications faster, they're deploying and then that success leads to new challenges, right? So we sort of call that first Kubernetes part sort of CloudNative 1.0, this and this show is really CloudNative 2.0. What happens after Kubernetes service mesh? Is that what happens after Kubernetes? And for us, Istio now being part of the CNCF, huge, standardized, people are excited about it. And then we think we are the best at doing Istio from a service mesh perspective. So it's kind of perfect, perfect equation. >> Well, I'll turn it on, listen to your great Cloud cast podcast, plug there for you. You always say what is it and what isn't it? >> Brian: Yeah. >> What is your product and what isn't it? >> Yeah, so our product is, from a purely product perspective it's service mesh and API gateway. We integrate them in a way that nobody else does. So we make it easier to deploy, easier to manage, easier to secure. I mean, those two things ultimately are, if it's an internal API or it's an external API, we secure it, we route it, we can observe it. So if anybody's, you're building modern applications, you need this stuff in order to be able to go to market, deploy at scale all those sort of things. >> Idit, talk about some of your customer conversations. What are the big barriers that they've had, or the challenges, that solo.io comes in and just wipes off the table? >> Yeah, so I think that a lot of them, as Brian described it, very, rarely they had a success with Kubernetes, maybe a few clusters, but then they basically started to on-ramp more application on those clusters. They need more cluster maybe they want multi-class, multi-cloud. And they mainly wanted to enable the team, right? This is why we all here, right? What we wanted to eventually is to take a piece of the infrastructure and delegate it to our customers which is basically the application team. So I think that that's where they started to see the problem because it's one thing to take some open source project and deploy it very little bit but the scale, it's all about the scale. How do you enable all those millions of developers basically working on your platform? How do you scale multi-cloud? What's going on if one of them is down, how do you fill over? So that's exactly the problem that they have >> Lisa: Which is critical for- >> As bad as COVID was as a global thing, it was an amazing enabler for us because so many companies had to say... If you're a retail company, your front door was closed, but you still wanted to do business. So you had to figure out, how do I do mobile? How do I be agile? If you were a company that was dealing with like used cars your number of hits were through the roof because regular cars weren't available. So we have all these examples of companies who literally overnight, COVID was their digital transformation enabler. >> Lisa: Yes. Yes. >> And the scale that they had to deal with, the agility they had to deal with, and we sort of fit perfectly in that. They re-looked at what's our infrastructure look like? What's our security look like? We just happened to be right place in the right time. >> And they had skillset issues- >> Skillsets. >> Yeah. >> And the remote work- >> Right, right. >> Combined with- >> Exactly. >> Modern upgrade gun-to-the-head, almost, kind of mentality. >> And we're really an interesting company. Most of the interactions we do with customers is through Slack, obviously it was remote. We would probably be a great Slack case study in terms of how to do business because our customers engage with us, with engineers all over the world, they look like one team. But we can get them up and running in a POC, in a demo, get them through their things really, really fast. It's almost like going to the public cloud, but at whatever complexity they want. >> John: Nice workflow. >> So a lot of momentum for you guys silver linings during COVID, which is awesome we do hear a lot of those stories of positive things, the acceleration of digital transformation, and how much, as consumers, we've all benefited from that. Do you have one example, Brian, as the VP of product marketing, of a customer that you really think in the last two years just is solo.io's value proposition on a platter? >> I'll give you one that I think everybody can understand. So most people, at least in the United States, you've heard of Chick-fil-A, retail, everybody likes the chicken. 2,600 stores in the US, they all shut down and their business model, it's good food but great personal customer experience. That customer experience went away literally overnight. So they went from barely anybody using the mobile application, and hence APIs in the backend, half their business now goes through that to the point where, A, they shifted their business, they shifted their customer experience, and they physically rebuilt 2,600 stores. They have two drive-throughs now that instead of one, because now they have an entire one dedicated to that mobile experience. So something like that happening overnight, you could never do the ROI for it, but it's changed who they are. >> Lisa: Absolutely transformative. >> So, things like that, that's an example I think everybody can kind of relate to. Stuff like that happened. >> Yeah. >> And I think that's also what's special is, honestly, you're probably using a product every day. You just don't know that, right? When you're swiping your credit card or when you are ordering food, or when you using your phone, honestly the amount of customer they were having, the space, it's like so, every industry- >> John: How many customers do you have? >> I think close to 200 right now. >> Brian: Yeah. >> Yeah. >> How many employees, can you gimme some stats? Funding, employees? What's the latest statistics? >> We recently found a year ago $135 million for a billion dollar valuation. >> Nice. >> So we are a unicorn. I think when you took it we were around like 50 ish people. Right now we probably around 180, and we are growing, we probably be 200 really, really quick. And I think that what's really, really special as I said the interaction that we're doing with our customers, we're basically extending their team. So for each customer is basically a Slack channel. And then there is a lot of people, we are totally global. So we have people in APAC, in Australia, New Zealand, in Singapore we have in AMEA, in UK and in Spain and Paris, and other places, and of course all over US. >> So your use case on how to run a startup, scale up, during the pandemic, complete clean sheet of paper. >> Idit: We had to. >> And what happens, you got Slack channels as your customer service collaboration slash productivity. What else did you guys do differently that you could point to that's, I would call, a modern technique for an entrepreneurial scale? >> So I think that there's a few things that we are doing different. So first of all, in Solo, honestly, there is a few things that differentiated from, in my opinion, most of the companies here. Number one is look, you see this, this is a lot, a lot of new technology and one of the things that the customer is nervous the most is choosing the wrong one because we saw what happened, right? I don't know the orchestration world, right? >> John: So choosing and also integrating multiple things at the same time. >> Idit: Exactly. >> It's hard. >> And this is, I think, where Solo is expeditious coming to place. So I mean we have one team that is dedicated like open source contribution and working with all the open source community and I think we're really good at picking the right product and basically we're usually right, which is great. So if you're looking at Kubernetes, we went there for the beginning. If you're looking at something like service mesh Istio, we were all envoy proxy and out of process. So I think that by choosing these things, and now Cilium is something that we're also focusing on. I think that by using the right technology, first of all you know that it's very expensive to migrate from one to the other if you get it wrong. So I think that's one thing that is always really good at. But then once we actually getting those portal we basically very good at going and leading those community. So we are basically bringing the customers to the community itself. So we are leading this by being in the TOC members, right? The Technical Oversight Committee. And we are leading by actually contributing a lot. So if the customer needs something immediately, we will patch it for him and walk upstream. So that's kind of like the second thing. And the third one is innovation. And that's really important to us. So we pushing the boundaries. Ambient, that we announced a month ago with Google- >> And STO, the book that's out. >> Yes, the Ambient, it's basically a modern STO which is the future of SDL. We worked on it with Google and their NDA and we were listed last month. This is exactly an example of us basically saying we can do it better. We learn from our customers, which is huge. And now we know that we can do better. So this is the third thing, and the last one is the partnership. I mean honestly we are the extension team of the customer. We are there on Slack if they need something. Honestly, there is a reason why our renewal rate is 98.9 and our net extension is 135%. I mean customers are very, very happy. >> You deploy it, you make it right. >> Idit: Exactly, exactly. >> The other thing we did, and again this was during COVID, we didn't want to be a shell-for company. We didn't want to drop stuff off and you didn't know what to do with it. We trained nearly 10,000 people. We have something called Solo Academy, which is free, online workshops, they run all the time, people can come and get hands on training. So we're building an army of people that are those specialists that have that skill set. So we don't have to walk into shops and go like, well okay, I hope six months from now you guys can figure this stuff out. They're like, they've been doing that. >> And if their friends sees their friend, sees their friend. >> The other thing, and I got to figure out as a marketing person how to do this, we have more than a few handfuls of people that they've got promoted, they got promoted, they got promoted. We keep seeing people who deploy our technologies, who, because of this stuff they're doing- >> John: That's a good sign. They're doing it at at scale, >> John: That promoter score. >> They keep getting promoted. >> Yeah, that's amazing. >> That's a powerful sort of side benefit. >> Absolutely, that's a great thing to have for marketing. Last question before we ran out of time. You and I, Idit, were talking before we went live, your sessions here are overflowing. What's your overall sentiment of KubeCon 2022 and what feedback have you gotten from all the customers bursting at the seam to come talk to you guys? >> I think first of all, there was the pre-event which we had and it was a lot of fun. We talked to a lot of customer, most of them is 500, global successful company. So I think that people definitely... I will say that much. We definitely have the market feed, people interested in this. Brian described very well what we see here which is people try to figure out the CloudNative 2.0. So that's number one. The second thing is that there is a consolidation, which I like, I mean STO becoming right now a CNCF project I think it's a huge, huge thing for all the community. I mean, we're talking about all the big tweak cloud, we partner with them. I mean I think this is a big sign of we agree which I think is extremely important in this community. >> Congratulations on all your success. >> Thank you so much. >> And where can customers go to get their hands on this, solo.io? >> Solo.io? Yeah, absolutely. >> Awesome guys, this has been great. Congratulations on the momentum. >> Thank you. >> The rocket ship that you're riding. We know you got to get to the airport we're going to let you go. But we appreciate your insights and your time so much, thank you. >> Thank you so much. >> Thanks guys, we appreciate it. >> A pleasure. >> Thanks. >> For our guests and John Furrier, This is Lisa Martin live in Detroit, had to think about that for a second, at KubeCon 2022 CloudNativeCon. We'll be right back with our final guests of the day and then the show wraps, so stick around. (gentle music)
SUMMARY :
And we get to do that next again. It's going to be a great conversation. great to have you here. This is a rocket ship that you're riding. to trust a company of our size Idit, talk about the fast So we have a very, very unique way It's really easy. It's been fun to watch you guys grow. What's the update? It's like jello in the refrigerator So the last four or five years, listen to your great Cloud cast podcast, So we make it easier to deploy, What are the big barriers So that's exactly the So we have all these examples the agility they had to deal with, almost, kind of mentality. Most of the interactions So a lot of momentum for you guys and hence APIs in the backend, everybody can kind of relate to. honestly the amount of We recently found a year ago So we are a unicorn. So your use case on that you could point to and one of the things that the at the same time. So that's kind of like the second thing. and the last one is the partnership. So we don't have to walk into shops And if their friends sees and I got to figure out They're doing it at at scale, at the seam to come talk to you guys? We definitely have the market feed, to get their hands on this, solo.io? Yeah, absolutely. Congratulations on the momentum. But we appreciate your insights of the day and then the
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theCUBE Previews Supercomputing 22
(inspirational music) >> The history of high performance computing is unique and storied. You know, it's generally accepted that the first true supercomputer was shipped in the mid 1960s by Controlled Data Corporations, CDC, designed by an engineering team led by Seymour Cray, the father of Supercomputing. He left CDC in the 70's to start his own company, of course, carrying his own name. Now that company Cray, became the market leader in the 70's and the 80's, and then the decade of the 80's saw attempts to bring new designs, such as massively parallel systems, to reach new heights of performance and efficiency. Supercomputing design was one of the most challenging fields, and a number of really brilliant engineers became kind of quasi-famous in their little industry. In addition to Cray himself, Steve Chen, who worked for Cray, then went out to start his own companies. Danny Hillis, of Thinking Machines. Steve Frank of Kendall Square Research. Steve Wallach tried to build a mini supercomputer at Convex. These new entrants, they all failed, for the most part because the market at the time just wasn't really large enough and the economics of these systems really weren't that attractive. Now, the late 80's and the 90's saw big Japanese companies like NEC and Fujitsu entering the fray and governments around the world began to invest heavily in these systems to solve societal problems and make their nations more competitive. And as we entered the 21st century, we saw the coming of petascale computing, with China actually cracking the top 100 list of high performance computing. And today, we're now entering the exascale era, with systems that can complete a billion, billion calculations per second, or 10 to the 18th power. Astounding. And today, the high performance computing market generates north of $30 billion annually and is growing in the high single digits. Supercomputers solve the world's hardest problems in things like simulation, life sciences, weather, energy exploration, aerospace, astronomy, automotive industries, and many other high value examples. And supercomputers are expensive. You know, the highest performing supercomputers used to cost tens of millions of dollars, maybe $30 million. And we've seen that steadily rise to over $200 million. And today we're even seeing systems that cost more than half a billion dollars, even into the low billions when you include all the surrounding data center infrastructure and cooling required. The US, China, Japan, and EU countries, as well as the UK, are all investing heavily to keep their countries competitive, and no price seems to be too high. Now, there are five mega trends going on in HPC today, in addition to this massive rising cost that we just talked about. One, systems are becoming more distributed and less monolithic. The second is the power of these systems is increasing dramatically, both in terms of processor performance and energy consumption. The x86 today dominates processor shipments, it's going to probably continue to do so. Power has some presence, but ARM is growing very rapidly. Nvidia with GPUs is becoming a major player with AI coming in, we'll talk about that in a minute. And both the EU and China are developing their own processors. We're seeing massive densities with hundreds of thousands of cores that are being liquid-cooled with novel phase change technology. The third big trend is AI, which of course is still in the early stages, but it's being combined with ever larger and massive, massive data sets to attack new problems and accelerate research in dozens of industries. Now, the fourth big trend, HPC in the cloud reached critical mass at the end of the last decade. And all of the major hyperscalers are providing HPE, HPC as a service capability. Now finally, quantum computing is often talked about and predicted to become more stable by the end of the decade and crack new dimensions in computing. The EU has even announced a hybrid QC, with the goal of having a stable system in the second half of this decade, most likely around 2027, 2028. Welcome to theCUBE's preview of SC22, the big supercomputing show which takes place the week of November 13th in Dallas. theCUBE is going to be there. Dave Nicholson will be one of the co-hosts and joins me now to talk about trends in HPC and what to look for at the show. Dave, welcome, good to see you. >> Hey, good to see you too, Dave. >> Oh, you heard my narrative up front Dave. You got a technical background, CTO chops, what did I miss? What are the major trends that you're seeing? >> I don't think you really- You didn't miss anything, I think it's just a question of double-clicking on some of the things that you brought up. You know, if you look back historically, supercomputing was sort of relegated to things like weather prediction and nuclear weapons modeling. And these systems would live in places like Lawrence Livermore Labs or Los Alamos. Today, that requirement for cutting edge, leading edge, highest performing supercompute technology is bleeding into the enterprise, driven by AI and ML, artificial intelligence and machine learning. So when we think about the conversations we're going to have and the coverage we're going to do of the SC22 event, a lot of it is going to be looking under the covers and seeing what kind of architectural things contribute to these capabilities moving forward, and asking a whole bunch of questions. >> Yeah, so there's this sort of theory that the world is moving toward this connectivity beyond compute-centricity to connectivity-centric. We've talked about that, you and I, in the past. Is that a factor in the HPC world? How is it impacting, you know, supercomputing design? >> Well, so if you're designing an island that is, you know, tip of this spear, doesn't have to offer any level of interoperability or compatibility with anything else in the compute world, then connectivity is important simply from a speeds and feeds perspective. You know, lowest latency connectivity between nodes and things like that. But as we sort of democratize supercomputing, to a degree, as it moves from solely the purview of academia into truly ubiquitous architecture leverage by enterprises, you start asking the question, "Hey, wouldn't it be kind of cool if we could have this hooked up into our ethernet networks?" And so, that's a whole interesting subject to explore because with things like RDMA over converged ethernet, you now have the ability to have these supercomputing capabilities directly accessible by enterprise computing. So that level of detail, opening up the box of looking at the Nix, or the storage cards that are in the box, is actually critically important. And as an old-school hardware knuckle-dragger myself, I am super excited to see what the cutting edge holds right now. >> Yeah, when you look at the SC22 website, I mean, they're covering all kinds of different areas. They got, you know, parallel clustered systems, AI, storage, you know, servers, system software, application software, security. I mean, wireless HPC is no longer this niche. It really touches virtually every industry, and most industries anyway, and is really driving new advancements in society and research, solving some of the world's hardest problems. So what are some of the topics that you want to cover at SC22? >> Well, I kind of, I touched on some of them. I really want to ask people questions about this idea of HPC moving from just academia into the enterprise. And the question of, does that mean that there are architectural concerns that people have that might not be the same as the concerns that someone in academia or in a lab environment would have? And by the way, just like, little historical context, I can't help it. I just went through the upgrade from iPhone 12 to iPhone 14. This has got one terabyte of storage in it. One terabyte of storage. In 1997, I helped build a one terabyte NAS system that a government defense contractor purchased for almost $2 million. $2 million! This was, I don't even know, it was $9.99 a month extra on my cell phone bill. We had a team of seven people who were going to manage that one terabyte of storage. So, similarly, when we talk about just where are we from a supercompute resource perspective, if you consider it historically, it's absolutely insane. I'm going to be asking people about, of course, what's going on today, but also the near future. You know, what can we expect? What is the sort of singularity that needs to occur where natural language processing across all of the world's languages exists in a perfect way? You know, do we have the compute power now? What's the interface between software and hardware? But really, this is going to be an opportunity that is a little bit unique in terms of the things that we typically cover, because this is a lot about cracking open the box, the server box, and looking at what's inside and carefully considering all of the components. >> You know, Dave, I'm looking at the exhibitor floor. It's like, everybody is here. NASA, Microsoft, IBM, Dell, Intel, HPE, AWS, all the hyperscale guys, Weka IO, Pure Storage, companies I've never heard of. It's just, hundreds and hundreds of exhibitors, Nvidia, Oracle, Penguin Solutions, I mean, just on and on and on. Google, of course, has a presence there, theCUBE has a major presence. We got a 20 x 20 booth. So, it's really, as I say, to your point, HPC is going mainstream. You know, I think a lot of times, we think of HPC supercomputing as this just sort of, off in the eclectic, far off corner, but it really, when you think about big data, when you think about AI, a lot of the advancements that occur in HPC will trickle through and go mainstream in commercial environments. And I suspect that's why there are so many companies here that are really relevant to the commercial market as well. >> Yeah, this is like the Formula 1 of computing. So if you're a Motorsports nerd, you know that F1 is the pinnacle of the sport. SC22, this is where everybody wants to be. Another little historical reference that comes to mind, there was a time in, I think, the early 2000's when Unisys partnered with Intel and Microsoft to come up with, I think it was the ES7000, which was supposed to be the mainframe, the sort of Intel mainframe. It was an early attempt to use... And I don't say this in a derogatory way, commodity resources to create something really, really powerful. Here we are 20 years later, and we are absolutely smack in the middle of that. You mentioned the focus on x86 architecture, but all of the other components that the silicon manufacturers bring to bear, companies like Broadcom, Nvidia, et al, they're all contributing components to this mix in addition to, of course, the microprocessor folks like AMD and Intel and others. So yeah, this is big-time nerd fest. Lots of academics will still be there. The supercomputing.org, this loose affiliation that's been running these SC events for years. They have a major focus, major hooks into academia. They're bringing in legit computer scientists to this event. This is all cutting edge stuff. >> Yeah. So like you said, it's going to be kind of, a lot of techies there, very technical computing, of course, audience. At the same time, we expect that there's going to be a fair amount, as they say, of crossover. And so, I'm excited to see what the coverage looks like. Yourself, John Furrier, Savannah, I think even Paul Gillin is going to attend the show, because I believe we're going to be there three days. So, you know, we're doing a lot of editorial. Dell is an anchor sponsor, so we really appreciate them providing funding so we can have this community event and bring people on. So, if you are interested- >> Dave, Dave, I just have- Just something on that point. I think that's indicative of where this world is moving when you have Dell so directly involved in something like this, it's an indication that this is moving out of just the realm of academia and moving in the direction of enterprise. Because as we know, they tend to ruthlessly drive down the cost of things. And so I think that's an interesting indication right there. >> Yeah, as do the cloud guys. So again, this is mainstream. So if you're interested, if you got something interesting to talk about, if you have market research, you're an analyst, you're an influencer in this community, you've got technical chops, maybe you've got an interesting startup, you can contact David, david.nicholson@siliconangle.com. John Furrier is john@siliconangle.com. david.vellante@siliconangle.com. I'd be happy to listen to your pitch and see if we can fit you onto the program. So, really excited. It's the week of November 13th. I think November 13th is a Sunday, so I believe David will be broadcasting Tuesday, Wednesday, Thursday. Really excited. Give you the last word here, Dave. >> No, I just, I'm not embarrassed to admit that I'm really, really excited about this. It's cutting edge stuff and I'm really going to be exploring this question of where does it fit in the world of AI and ML? I think that's really going to be the center of what I'm really seeking to understand when I'm there. >> All right, Dave Nicholson. Thanks for your time. theCUBE at SC22. Don't miss it. Go to thecube.net, go to siliconangle.com for all the news. This is Dave Vellante for theCUBE and for Dave Nicholson. Thanks for watching. And we'll see you in Dallas. (inquisitive music)
SUMMARY :
And all of the major What are the major trends on some of the things that you brought up. that the world is moving or the storage cards that are in the box, solving some of the across all of the world's languages a lot of the advancements but all of the other components At the same time, we expect and moving in the direction of enterprise. Yeah, as do the cloud guys. and I'm really going to be go to siliconangle.com for all the news.
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Parminder Khosa & Martin Schirmer | IFS Unleashed 2022
(upbeat music) >> Hey everyone, welcome back to theCUBE live in Miami on the floor of IFS Unleashed. I'm your host, Lisa Martin. Had some great conversations. Have more great conversations coming your way. I have two guests joining me. Please welcome Martin Schirmer, the President of Enterprise Service Management, IFS Assyst. And Parminder Khosa, the Senior IT Manager at Parexel. Guys, it's great to have you on the program. >> Lovely to be here. >> It's good to be here. >> Martin, talk to me a little bit... tell the audience a little bit about Assyst so that that get that context before we start asking questions. >> Yeah. Absolutely. So IFS Assyst is a recent acquisition. It's an acquisition we made about a year ago. And fundamentally, it's a platform that takes care of IT service management, enterprise service management and IT operations management. So think of it, of managing sort of the ERP for IT and then broadening that out into the sort of enterprise where you're driving enterprise use cases for all lines of businesses like HR, finance, facilities, so on and so forth. >> Got it. And then Parminder, give the audience just a little bit of a flavor of Parexel, who you guys are, what you do. >> Sure. >> Maybe the impact that you make. >> Yeah, so Parexel is a clinical research organization. And what that means is that we manage drug trials for big pharmaceutical companies. So we're a big company. We're 25,000 people. We have offices in 150 locations all the way from Japan and the east through to the West Coast of the USA. >> Big company. >> Yeah, we are. We are a lot of people. >> And let's start chatting now Martin with some of the questions that you have so we get the understanding of how IFS and Parexel are working together. >> Yeah. Absolutely. I suppose... I mean the first thing is and thank you for traveling here all the way from the UK. (Lisa chuckles) Appreciate it and great energy and vibe. So just what the first question I had really was, you're customer of ours for the last 15 years plus. Maybe just give the audience a bit of context into your journey and how you've evolved from the sort of early years to where you're going into the future. >> Sure. So our history, I was part of a company that Parexel acquired that was already using Assyst. And as Parexel acquired us, they were in the process of also buying Assyst. So it became a kind of natural fit where I carried on with Assyst. And we started relatively small, sort of just the service desktop. And throughout the ongoing 15 years or so, we've just grown and expanded into kind of being a critical tool for Parexel right now. >> Okay, that's fantastic. I mean part of that journey, I know you started in sort of the more they call a ticketing space or IT service management space. Expand a little bit how you've expanded out of that and really moved into the enterprise. >> Sure. So yeah. So when we first rolled Assyst out, it was as I say, purely IT. And eventually we reached out to other business units to say asking questions like, Are you managing your workload through email? Are you managing your workload through Excel spreadsheets? In which case, if you are, we've got a solution for you that will make it a much better experience for your customers. They're all internal. It'll make it much easier for you because you will have official tracking going on through our system. I'll make it better for your management because we can drive metrics from all of the data that we're getting. So if you imagine finance we're getting, kind of 200 miles a day because of the size of our company. And they were just working through them one by one responding, and they becomes just a mess. So we developed forms for them to say, "Okay, Larry raise all your requests here. We will pick it up. We will manage it. We will communicate with you. And once the piece of work that you've asked for is done, we will let you know." And as we go through that process, we'll make it better for us because as I say we're getting those metrics. And we'll make it better for you because we can spot where our gaps are. If a request is taking three days, and of that three days, two days is waiting for someone on our end to respond to you or is waiting for us waiting for a customer to respond, we can iron those out and make it a much better experience for everyone. >> That's fantastic. It's really music to my ears because we always pushing the industry to say move away from just the IT side and really get into the enterprise. And it sounds like you've really gotten a lot of sort of productivity and efficiency gains out of that. >> Definitely, definitely. And it becomes kind of a happy circle. So the finance guys will work with the procurement guys. And they also look... Well, we're doing all of our work through Assyst now. So procurement's a little turnaround. So, well we're using this big spreadsheet to manage all of ours. Can we do the same? And they'll reach out to us and we'll say, "Of course we can. What is your process?" For example, they will say, okay, if someone asks for a new laptop, we need to get the approval from their line manager, from the supplier. We need to do our own internal work and then we will send it out. So imagine if you're doing that in a an email chain. It just becomes chaos. >> Yeah. >> So we will build all of that out for them. And then procurement will talk to HR and it just becomes a snowball. And before you know it, we are doing about 4,000 tickets per day in our Assyst system. And of those, 50% perhaps maybe more than 50% now will be non IT related. >> Oh, that's fantastic. Really music to my ears. And it really breaking down the boundaries or silos within an organization. It's really good. Let the teams work together. Right? >> Definitely. And that's one of the key things that we've learned is that we have to engage completely with our business partners. And our business partners are becoming more and more IT literate as well. So for example, we had a recent big HR solution provided to us. And as part of that, we know there are going to be questions, and queries and perhaps even issues to do with our HR system. So we have to work with us guys, the Assyst front end, the IT HR guys who look after the databases, all of the technology in the background. Then there'll be IT HR who are Workday experts. And then kind of not necessarily at the bottom of the chain will be the HR people themselves who are in their own way, experts in their area, experts in IT in a certain way. So all of those people have to work together. We become the front end, but we have to work with all of those parts of the business. >> That's really great. It's basically what you just said is taking business, IT processes and underpinning solutions. Effectively digital transformation, right? >> Exactly. Yeah. So HR is a great example. They used to have paper flying around with leave request, with sickness requests, with all of those kind of issues. And you said, well if you have an issue with your HR system, you can't raise a leave request, or you can't raise a sickness request, tell us. We will take care of it. We will fix it for you. We will give you the instructions. And we will get rid of all of that paper. >> That's brilliant. Just sort of turning the attention. And all of that, how do you drive the sort of, we'll talk about the autonomous enterprise. How do you drive automation in that process? >> Yeah. Of course, we have to map all of those processes out. Because we're not the experts in HR or procurement or whatever the business area may be. We have to really dig into their work methods, their working areas. What is necessary for them? What is a must have? What is a like to have? What is we don't really need? So we really drive into that processes. Once we've got those, we will automate them. We will build them out in Assyst with the process designer. It's very intuitive now. The latest version is really good to work with. We will do some pretty clever stuff in there. We'll say, okay the manager approval. If the manager is not there, then escalate it to the next person. Then we go to HR and say, okay HR have taken two days to do this. We're not particularly okay with that. So we will escalate it to the next person. And all of that process is completely automated, completely in Assyst. >> Brilliant. I mean obviously, we have a codeless workflow engine with a designer. And if you look at one of the trends from post covid is a war in talent in particular developers. The IDC says there's going to be around 4 million shortage of developers. What is your view on, how easy... Do I need developers? Is it easy, is it difficult to do these workflow extensions and automations? >> Definitely not, no. So the two key areas that you mentioned that with the customizer to develop the forms to make them available to our end users, drag and drop. Really easy to do. You can put some nice filters in there. You can put some nice variables in there. You can drive intelligent drive the forms from there as well. So if option A is correct, then don't show me option B, show me option C. And all of that is codeless, entirely codeless. I don't need to type any code. And when we move on to a process designer that hooks in nicely with the form customizer because we can say, "Okay, if option B on that form is selected, then runs this process." And all of that process is entirely codeless as well. Drag and drop. Creates some tasks. Create some decisions. >> Fantastic. >> Brilliant. >> Sounds really good. Switching gears a little bit. You spoke about experience, and that's also obviously very topical post, well, Covid becoming a remote workforce. Clearly, we need to be digitally connected to our business and organization because the hybrid workforce, as we all know, is here to stay. And that employee experience is fundamental because it is their sort of channel to the engagement of the organization. Of course, that has retention impacts and productivity impact. So just from your perspective, how was Covid, from your perspective, and how easy or difficult was it to get your employees engaged and productive and working? >> Yeah. And for us, it's a double edged sword Covid was. Because of the nature of our business. We do covid stuff. We do drug stuff. So we may have issues with some trials that are related to that. So we need to escalate those. We need to be aware of them and move them to the top of the chain as soon as possible. And then Assyst becomes a source of truth. Everybody knows that if I've got an issue with the current environment that we're living in, I can raise it in Assyst. And everybody knows that's where that information is. There's no need to have huge conference calls or huge email chains to try and follow those around. So with our Assyst platform, with our employees as well, everybody knew that this is where the source of truth was. We didn't have any dropouts. We didn't have any concerns with our system or performance. We knew it was there. We had to do some work like, as I say, around covid issues just to make sure they get pushed up to the top of the chain. But otherwise, we were fine. And great credit to our IT operations team as well who managed that pretty much seamlessly. >> That's brilliant. That's good news. >> Yeah. >> It really is. Just taking a little bit further and talking a little bit about what next. My team has been, I know, talking to your team about the whole area of asset management. Maybe talk to us a little bit about that journey. >> Sure, sure. So we're an ITOM customer as well. So all of our hardware data is stored within the ITOM platform. So we've pushed out the agents to all of our end user machines, so 25,000 agents. And we're in the process of integrating that into our Assyst platform to make that the single source of truth. And that part of that we're working on the software asset management side as well. So we've got a really good idea of where our software assets are. It comes to all license auditing, we know exactly how much we've got there. And the more complex side of it is of course server. So software management management as well. So we're in the process of getting all of that data as well. So once we've done all that, there is other all as the next step. The next step will be to perhaps do monitoring or pushing out software using the ITOM platform and getting rid of some of the disparate systems that we have right now. >> Well that's good news. And I think I saw a study. I think, every single person as an employee carries around 15 or 20 assets with him at any one time. Be it from a PC, phone, physical software licenses, so on and so forth. In that context, I can imagine the business case around it. >> Definitely. Yeah. And every, again, we map every user to their assets and (indistinct) their assets. And again Assyst as a source of truth for that. So if you want to look at my record, so, all right. Pam's got a laptop. He's got a mobile phone. We're thinking about giving him a tablet, but we'll find out. That he's in the process of getting a tablet as well. So I can have a look at my user record and know exactly what I've got with all of the asset tags and the various links that it has to the software pieces so it becomes a big tree of my assets. >> That's wonderful. Just the question I had was, we spoke about breaking down silos and the enterprise use cases and the effect that has. Do you envisage that Assyst can really get to being enterprisewide as, when I say enterprisewide, everybody in the organization effectively using this tool as their sort of source of experience, and level of automation of process? >> Definitely, definitely. As I say, we're getting... We're really pushing to get to that. As I say, 4,000 tickets a day with a user base of 25,000 kind of means that everybody will interact with the system perhaps every two weeks or so. So we're getting to that point and with the new functionality that's coming out with the Assyst product, with the team's integration, and the bot and everything that will bring to us because we are a big. We use teams. We use bots. We use that kind of technology. It will just fit in seamlessly. And trying to break down the silos, as I say finance, procurement, all of the big beasts within our company already are using the Assyst tool. And we want to bring in more and more of those processes as we mature. >> Brilliant. I think Omnichannel's critical. We want to connect from any device from anywhere. It's just the way we work. So I think that's critical. Teams is of course a a tool that most of us have become too familiar with. >> Yup. (chuckles) >> To be fair. (chuckles) It's better to be here in person finally, right? >> Yeah. >> So I think, that's all exciting news. And it's really fantastic. >> Great. >> So I suppose maybe in the time that we have left, what's next? >> What's next for us is that we're in the process of migrating our solution to the cloud, to the IFS cloud. That will open up a huge new user base for us. If we think all of our customers, all of our people who work on studies will have the ability to connect to Assyst and ask questions. That's a lot of it is just ask a question, or raise an issue or ask for something. So we're talking, it could be expanded by hundreds of thousands of new users that will meet more people on the backend to manage those requests as well. So yeah. It's just going to get bigger and bigger. And as you say, with the CMDB work that we're doing as well, that's another big ongoing stream for us. >> It's great because as you know, with Assyst we have a disruptive licensing model. >> Yeah. >> We have a t-shirt size pricing. All you can need based a number of employees. So there's no barriers to entry for you. >> There really is. And that really helps us because as I said initially, particularly when finance came on board and now they're expanding, there is no cost implication for it. The more that we use it, the better it is for. The more bang for buck that we get. >> Yep. That's our mantra. Enterprise users, right? For the price of a cup of coffee, for the price of a user. That's our mantra. >> I love it. You guys have done such a great job of articulating the synergies in the relationship that IFS Assyst has with Paraxel. You talked about the great outcomes that you're achieving. And it's all about Martin, I know, from IFS Assyst perspective, it's all about helping customers achieve those outcomes and those moments of service that are so critical to your customers on the other end staying with you, doing more business. Whether it's the end user customer, whether it's the actual employee. You talked a lot about the customer experience, the employee experience, and what you guys are doing together to enable that. And I always think that the employee experience and the customer experience are like this. They're inextricably linked. You can't, you shouldn't. Otherwise you're going to have problems. >> Yeah, no, absolutely. And there's actually a study on that saying that, 70% of customers generally don't feel they get what they want from organizations. >> 70. Wow! >> And if you take that one step further to what you said, the interconnectivity between customer employee, employee shops on Amazon, right? It's on those websites. So you can't be rolling out and digitally connect to the employee with something that is clunky and has the wrong experience. Like I said, it really affects that level of engagement the employee has with the company which happens to be largely these days remote. >> It does. Last question Martin, is for you. Talk to us about what's next for IFS Assyst. Obviously, we're back in person. There's a lot of momentum about the company. I was talking with Darren, the growth and first half was great. He kind of gave us some teaser about second half, but what's next from your perspective? >> Yeah. So what's next for us is achieving our goal. We are here to disrupt the industry. It's an industry that's dominated by one player and a fair amount of legacy players. We've disrupted the business model as I've told you. We here to do more because it's a simple thing. And that's the word simple. We want to keep things simple. We're going to keep engineering and driving our product forward, right? We've made sure that our platform is up there with the best. Yeah. We've just been certified by pink. Pink is a verification of ITIL four they call it. So it's a body. And the top level is you can get 20 out of 20. We got 17 out of 20. There's only one other vendor that has more than us and it's only by little. And after it's a big white space, the next one is 14. So we on the right track. We are going to of course drive and capture the market. So watch this space. We here to grow. >> We will watch this space. Congratulations on being that disrupter. >> Thank you. >> Parminder great work with what you guys are doing. You did a great job of articulating, as I said, the customers tour here. We appreciate your insights, your time. >> Thank you very much. >> Pleasure. >> All right, my pleasure. >> Thank you. For my guests, I'm Lisa Martin. You're watching The Cube live from Miami on the show floor of IFS Unleashed. We'll be back after a short break.
SUMMARY :
And Parminder Khosa, the tell the audience a sort of the ERP for IT Parminder, give the audience and the east through to We are a lot of people. with some of the questions that you have I mean the first thing is and So it became a kind of natural fit and really moved into the enterprise. from all of the data that we're getting. the industry to say move away So the finance guys will work So we will build all And it really breaking down the boundaries all of the technology in the background. It's basically what you just And we will get rid of all of that paper. And all of that, how do And all of that process And if you look at one of So the two key areas that you mentioned And that employee Because of the nature of our business. That's brilliant. talking to your team And the more complex side the business case around it. and the various links that and the enterprise use cases all of the big beasts It's just the way we work. It's better to be here And it's really fantastic. have the ability to connect It's great because as you know, So there's no barriers to entry for you. And that really helps us coffee, for the price of a user. of articulating the synergies And there's actually a the employee has with the company the growth and first half was great. And the top level is you We will watch this space. as I said, the customers tour here. on the show floor of IFS Unleashed.
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Horizon3.ai Signal | Horizon3.ai Partner Program Expands Internationally
hello I'm John Furrier with thecube and welcome to this special presentation of the cube and Horizon 3.ai they're announcing a global partner first approach expanding their successful pen testing product Net Zero you're going to hear from leading experts in their staff their CEO positioning themselves for a successful Channel distribution expansion internationally in Europe Middle East Africa and Asia Pacific in this Cube special presentation you'll hear about the expansion the expanse partner program giving Partners a unique opportunity to offer Net Zero to their customers Innovation and Pen testing is going International with Horizon 3.ai enjoy the program [Music] welcome back everyone to the cube and Horizon 3.ai special presentation I'm John Furrier host of thecube we're here with Jennifer Lee head of Channel sales at Horizon 3.ai Jennifer welcome to the cube thanks for coming on great well thank you for having me so big news around Horizon 3.aa driving Channel first commitment you guys are expanding the channel partner program to include all kinds of new rewards incentives training programs help educate you know Partners really drive more recurring Revenue certainly cloud and Cloud scale has done that you got a great product that fits into that kind of Channel model great Services you can wrap around it good stuff so let's get into it what are you guys doing what are what are you guys doing with this news why is this so important yeah for sure so um yeah we like you said we recently expanded our Channel partner program um the driving force behind it was really just um to align our like you said our Channel first commitment um and creating awareness around the importance of our partner ecosystems um so that's it's really how we go to market is is through the channel and a great International Focus I've talked with the CEO so you know about the solution and he broke down all the action on why it's important on the product side but why now on the go to market change what's the what's the why behind this big this news on the channel yeah for sure so um we are doing this now really to align our business strategy which is built on the concept of enabling our partners to create a high value high margin business on top of our platform and so um we offer a solution called node zero it provides autonomous pen testing as a service and it allows organizations to continuously verify their security posture um so we our company vision we have this tagline that states that our pen testing enables organizations to see themselves Through The Eyes of an attacker and um we use the like the attacker's perspective to identify exploitable weaknesses and vulnerabilities so we created this partner program from a perspective of the partner so the partner's perspective and we've built It Through The Eyes of our partner right so we're prioritizing really what the partner is looking for and uh will ensure like Mutual success for us yeah the partners always want to get in front of the customers and bring new stuff to them pen tests have traditionally been really expensive uh and so bringing it down in one to a service level that's one affordable and has flexibility to it allows a lot of capability so I imagine people getting excited by it so I have to ask you about the program What specifically are you guys doing can you share any details around what it means for the partners what they get what's in it for them can you just break down some of the mechanics and mechanisms or or details yeah yep um you know we're really looking to create business alignment um and like I said establish Mutual success with our partners so we've got two um two key elements that we were really focused on um that we bring to the partners so the opportunity the profit margin expansion is one of them and um a way for our partners to really differentiate themselves and stay relevant in the market so um we've restructured our discount model really um you know highlighting profitability and maximizing profitability and uh this includes our deal registration we've we've created deal registration program we've increased discount for partners who take part in our partner certification uh trainings and we've we have some other partner incentives uh that we we've created that that's going to help out there we've we put this all so we've recently Gone live with our partner portal um it's a Consolidated experience for our partners where they can access our our sales tools and we really view our partners as an extension of our sales and Technical teams and so we've extended all of our our training material that we use internally we've made it available to our partners through our partner portal um we've um I'm trying I'm thinking now back what else is in that partner portal here we've got our partner certification information so all the content that's delivered during that training can be found in the portal we've got deal registration uh um co-branded marketing materials pipeline management and so um this this portal gives our partners a One-Stop place to to go to find all that information um and then just really quickly on the second part of that that I mentioned is our technology really is um really disruptive to the market so you know like you said autonomous pen testing it's um it's still it's well it's still still relatively new topic uh for security practitioners and um it's proven to be really disruptive so um that on top of um just well recently we found an article that um that mentioned by markets and markets that reports that the global pen testing markets really expanding and so it's expected to grow to like 2.7 billion um by 2027. so the Market's there right the Market's expanding it's growing and so for our partners it's just really allows them to grow their revenue um across their customer base expand their customer base and offering this High profit margin while you know getting in early to Market on this just disruptive technology big Market a lot of opportunities to make some money people love to put more margin on on those deals especially when you can bring a great solution that everyone knows is hard to do so I think that's going to provide a lot of value is there is there a type of partner that you guys see emerging or you aligning with you mentioned the alignment with the partners I can see how that the training and the incentives are all there sounds like it's all going well is there a type of partner that's resonating the most or is there categories of partners that can take advantage of this yeah absolutely so we work with all different kinds of Partners we work with our traditional resale Partners um we've worked we're working with systems integrators we have a really strong MSP mssp program um we've got Consulting partners and the Consulting Partners especially with the ones that offer pen test services so we they use us as a as we act as a force multiplier just really offering them profit margin expansion um opportunity there we've got some technology partner partners that we really work with for co-cell opportunities and then we've got our Cloud Partners um you'd mentioned that earlier and so we are in AWS Marketplace so our ccpo partners we're part of the ISP accelerate program um so we we're doing a lot there with our Cloud partners and um of course we uh we go to market with uh distribution Partners as well gotta love the opportunity for more margin expansion every kind of partner wants to put more gross profit on their deals is there a certification involved I have to ask is there like do you get do people get certified or is it just you get trained is it self-paced training is it in person how are you guys doing the whole training certification thing because is that is that a requirement yeah absolutely so we do offer a certification program and um it's been very popular this includes a a seller's portion and an operator portion and and so um this is at no cost to our partners and um we operate both virtually it's it's law it's virtually but live it's not self-paced and we also have in person um you know sessions as well and we also can customize these to any partners that have a large group of people and we can just we can do one in person or virtual just specifically for that partner well any kind of incentive opportunities and marketing opportunities everyone loves to get the uh get the deals just kind of rolling in leads from what we can see if our early reporting this looks like a hot product price wise service level wise what incentive do you guys thinking about and and Joint marketing you mentioned co-sell earlier in pipeline so I was kind of kind of honing in on that piece sure and yes and then to follow along with our partner certification program we do incentivize our partners there if they have a certain number certified their discount increases so that's part of it we have our deal registration program that increases discount as well um and then we do have some um some partner incentives that are wrapped around meeting setting and um moving moving opportunities along to uh proof of value gotta love the education driving value I have to ask you so you've been around the industry you've seen the channel relationships out there you're seeing companies old school new school you know uh Horizon 3.ai is kind of like that new school very cloud specific a lot of Leverage with we mentioned AWS and all the clouds um why is the company so hot right now why did you join them and what's why are people attracted to this company what's the what's the attraction what's the vibe what do you what do you see and what what do you use what did you see in in this company well this is just you know like I said it's very disruptive um it's really in high demand right now and um and and just because because it's new to Market and uh a newer technology so we are we can collaborate with a manual pen tester um we can you know we can allow our customers to run their pen test um with with no specialty teams and um and and then so we and like you know like I said we can allow our partners can actually build businesses profitable businesses so we can they can use our product to increase their services revenue and um and build their business model you know around around our services what's interesting about the pen test thing is that it's very expensive and time consuming the people who do them are very talented people that could be working on really bigger things in the in absolutely customers so bringing this into the channel allows them if you look at the price Delta between a pen test and then what you guys are offering I mean that's a huge margin Gap between street price of say today's pen test and what you guys offer when you show people that they follow do they say too good to be true I mean what are some of the things that people say when you kind of show them that are they like scratch their head like come on what's the what's the catch here right so the cost savings is a huge is huge for us um and then also you know like I said working as a force multiplier with a pen testing company that offers the services and so they can they can do their their annual manual pen tests that may be required around compliance regulations and then we can we can act as the continuous verification of their security um um you know that that they can run um weekly and so it's just um you know it's just an addition to to what they're offering already and an expansion so Jennifer thanks for coming on thecube really appreciate you uh coming on sharing the insights on the channel uh what's next what can we expect from the channel group what are you thinking what's going on right so we're really looking to expand our our Channel um footprint and um very strategically uh we've got um we've got some big plans um for for Horizon 3.ai awesome well thanks for coming on really appreciate it you're watching thecube the leader in high tech Enterprise coverage [Music] [Music] hello and welcome to the Cube's special presentation with Horizon 3.ai with Raina Richter vice president of emea Europe Middle East and Africa and Asia Pacific APAC for Horizon 3 today welcome to this special Cube presentation thanks for joining us thank you for the invitation so Horizon 3 a guy driving Global expansion big international news with a partner first approach you guys are expanding internationally let's get into it you guys are driving this new expanse partner program to new heights tell us about it what are you seeing in the momentum why the expansion what's all the news about well I would say uh yeah in in international we have I would say a similar similar situation like in the US um there is a global shortage of well-educated penetration testers on the one hand side on the other side um we have a raising demand of uh network and infrastructure security and with our approach of an uh autonomous penetration testing I I believe we are totally on top of the game um especially as we have also now uh starting with an international instance that means for example if a customer in Europe is using uh our service node zero he will be connected to a node zero instance which is located inside the European Union and therefore he has doesn't have to worry about the conflict between the European the gdpr regulations versus the US Cloud act and I would say there we have a total good package for our partners that they can provide differentiators to their customers you know we've had great conversations here on thecube with the CEO and the founder of the company around the leverage of the cloud and how successful that's been for the company and honestly I can just Connect the Dots here but I'd like you to weigh in more on how that translates into the go to market here because you got great Cloud scale with with the security product you guys are having success with great leverage there I've seen a lot of success there what's the momentum on the channel partner program internationally why is it so important to you is it just the regional segmentation is it the economics why the momentum well there are it's there are multiple issues first of all there is a raising demand in penetration testing um and don't forget that uh in international we have a much higher level in number a number or percentage in SMB and mid-market customers so these customers typically most of them even didn't have a pen test done once a year so for them pen testing was just too expensive now with our offering together with our partners we can provide different uh ways how customers could get an autonomous pen testing done more than once a year with even lower costs than they had with with a traditional manual paint test so and that is because we have our uh Consulting plus package which is for typically pain testers they can go out and can do a much faster much quicker and their pain test at many customers once in after each other so they can do more pain tests on a lower more attractive price on the other side there are others what even the same ones who are providing um node zero as an mssp service so they can go after s p customers saying okay well you only have a couple of hundred uh IP addresses no worries we have the perfect package for you and then you have let's say the mid Market let's say the thousands and more employees then they might even have an annual subscription very traditional but for all of them it's all the same the customer or the service provider doesn't need a piece of Hardware they only need to install a small piece of a Docker container and that's it and that makes it so so smooth to go in and say okay Mr customer we just put in this this virtual attacker into your network and that's it and and all the rest is done and within within three clicks they are they can act like a pen tester with 20 years of experience and that's going to be very Channel friendly and partner friendly I can almost imagine so I have to ask you and thank you for calling the break calling out that breakdown and and segmentation that was good that was very helpful for me to understand but I want to follow up if you don't mind um what type of partners are you seeing the most traction with and why well I would say at the beginning typically you have the the innovators the early adapters typically Boutique size of Partners they start because they they are always looking for Innovation and those are the ones you they start in the beginning so we have a wide range of Partners having mostly even um managed by the owner of the company so uh they immediately understand okay there is the value and they can change their offering they're changing their offering in terms of penetration testing because they can do more pen tests and they can then add other ones or we have those ones who offer 10 tests services but they did not have their own pen testers so they had to go out on the open market and Source paint testing experts um to get the pen test at a particular customer done and now with node zero they're totally independent they can't go out and say okay Mr customer here's the here's the service that's it we turn it on and within an hour you're up and running totally yeah and those pen tests are usually expensive and hard to do now it's right in line with the sales delivery pretty interesting for a partner absolutely but on the other hand side we are not killing the pain testers business we do something we're providing with no tiers I would call something like the foundation work the foundational work of having an an ongoing penetration testing of the infrastructure the operating system and the pen testers by themselves they can concentrate in the future on things like application pen testing for example so those Services which we we're not touching so we're not killing the paint tester Market we're just taking away the ongoing um let's say foundation work call it that way yeah yeah that was one of my questions I was going to ask is there's a lot of interest in this autonomous pen testing one because it's expensive to do because those skills are required are in need and they're expensive so you kind of cover the entry level and the blockers that are in there I've seen people say to me this pen test becomes a blocker for getting things done so there's been a lot of interest in the autonomous pen testing and for organizations to have that posture and it's an overseas issue too because now you have that that ongoing thing so can you explain that particular benefit for an organization to have that continuously verifying an organization's posture yep certainly so I would say um typically you are you you have to do your patches you have to bring in new versions of operating systems of different Services of uh um operating systems of some components and and they are always bringing new vulnerabilities the difference here is that with node zero we are telling the customer or the partner package we're telling them which are the executable vulnerabilities because previously they might have had um a vulnerability scanner so this vulnerability scanner brought up hundreds or even thousands of cves but didn't say anything about which of them are vulnerable really executable and then you need an expert digging in one cve after the other finding out is it is it really executable yes or no and that is where you need highly paid experts which we have a shortage so with notes here now we can say okay we tell you exactly which ones are the ones you should work on because those are the ones which are executable we rank them accordingly to the risk level how easily they can be used and by a sudden and then the good thing is convert it or indifference to the traditional penetration test they don't have to wait for a year for the next pain test to find out if the fixing was effective they weren't just the next scan and say Yes closed vulnerability is gone the time is really valuable and if you're doing any devops Cloud native you're always pushing new things so pen test ongoing pen testing is actually a benefit just in general as a kind of hygiene so really really interesting solution really bring that global scale is going to be a new new coverage area for us for sure I have to ask you if you don't mind answering what particular region are you focused on or plan to Target for this next phase of growth well at this moment we are concentrating on the countries inside the European Union Plus the United Kingdom um but we are and they are of course logically I'm based into Frankfurt area that means we cover more or less the countries just around so it's like the total dark region Germany Switzerland Austria plus the Netherlands but we also already have Partners in the nordics like in Finland or in Sweden um so it's it's it it's rapidly we have Partners already in the UK and it's rapidly growing so I'm for example we are now starting with some activities in Singapore um um and also in the in the Middle East area um very important we uh depending on let's say the the way how to do business currently we try to concentrate on those countries where we can have um let's say um at least English as an accepted business language great is there any particular region you're having the most success with right now is it sounds like European Union's um kind of first wave what's them yes that's the first definitely that's the first wave and now we're also getting the uh the European instance up and running it's clearly our commitment also to the market saying okay we know there are certain dedicated uh requirements and we take care of this and and we're just launching it we're building up this one uh the instance um in the AWS uh service center here in Frankfurt also with some dedicated Hardware internet in a data center in Frankfurt where we have with the date six by the way uh the highest internet interconnection bandwidth on the planet so we have very short latency to wherever you are on on the globe that's a great that's a great call outfit benefit too I was going to ask that what are some of the benefits your partners are seeing in emea and Asia Pacific well I would say um the the benefits is for them it's clearly they can they can uh talk with customers and can offer customers penetration testing which they before and even didn't think about because it penetrates penetration testing in a traditional way was simply too expensive for them too complex the preparation time was too long um they didn't have even have the capacity uh to um to support a pain an external pain tester now with this service you can go in and say even if they Mr customer we can do a test with you in a couple of minutes within we have installed the docker container within 10 minutes we have the pen test started that's it and then we just wait and and I would say that is we'll we are we are seeing so many aha moments then now because on the partner side when they see node zero the first time working it's like this wow that is great and then they work out to customers and and show it to their typically at the beginning mostly the friendly customers like wow that's great I need that and and I would say um the feedback from the partners is that is a service where I do not have to evangelize the customer everybody understands penetration testing I don't have to say describe what it is they understand the customer understanding immediately yes penetration testing good about that I know I should do it but uh too complex too expensive now with the name is for example as an mssp service provided from one of our partners but it's getting easy yeah it's great and it's great great benefit there I mean I gotta say I'm a huge fan of what you guys are doing I like this continuous automation that's a major benefit to anyone doing devops or any kind of modern application development this is just a godsend for them this is really good and like you said the pen testers that are doing it they were kind of coming down from their expertise to kind of do things that should have been automated they get to focus on the bigger ticket items that's a really big point so we free them we free the pain testers for the higher level elements of the penetration testing segment and that is typically the application testing which is currently far away from being automated yeah and that's where the most critical workloads are and I think this is the nice balance congratulations on the international expansion of the program and thanks for coming on this special presentation really I really appreciate it thank you you're welcome okay this is thecube special presentation you know check out pen test automation International expansion Horizon 3 dot AI uh really Innovative solution in our next segment Chris Hill sector head for strategic accounts will discuss the power of Horizon 3.ai and Splunk in action you're watching the cube the leader in high tech Enterprise coverage foreign [Music] [Music] welcome back everyone to the cube and Horizon 3.ai special presentation I'm John Furrier host of thecube we're with Chris Hill sector head for strategic accounts and federal at Horizon 3.ai a great Innovative company Chris great to see you thanks for coming on thecube yeah like I said uh you know great to meet you John long time listener first time caller so excited to be here with you guys yeah we were talking before camera you had Splunk back in 2013 and I think 2012 was our first splunk.com and boy man you know talk about being in the right place at the right time now we're at another inflection point and Splunk continues to be relevant um and continuing to have that data driving Security in that interplay and your CEO former CTO of his plug as well at Horizon who's been on before really Innovative product you guys have but you know yeah don't wait for a breach to find out if you're logging the right data this is the topic of this thread Splunk is very much part of this new international expansion announcement uh with you guys tell us what are some of the challenges that you see where this is relevant for the Splunk and Horizon AI as you guys expand uh node zero out internationally yeah well so across so you know my role uh within Splunk it was uh working with our most strategic accounts and so I looked back to 2013 and I think about the sales process like working with with our small customers you know it was um it was still very siled back then like I was selling to an I.T team that was either using this for it operations um we generally would always even say yeah although we do security we weren't really designed for it we're a log management tool and we I'm sure you remember back then John we were like sort of stepping into the security space and and the public sector domain that I was in you know security was 70 of what we did when I look back to sort of uh the transformation that I was witnessing in that digital transformation um you know when I look at like 2019 to today you look at how uh the IT team and the security teams are being have been forced to break down those barriers that they used to sort of be silent away would not commute communicate one you know the security guys would be like oh this is my box I.T you're not allowed in today you can't get away with that and I think that the value that we bring to you know and of course Splunk has been a huge leader in that space and continues to do Innovation across the board but I think what we've we're seeing in the space and I was talking with Patrick Coughlin the SVP of uh security markets about this is that you know what we've been able to do with Splunk is build a purpose-built solution that allows Splunk to eat more data so Splunk itself is ulk know it's an ingest engine right the great reason people bought it was you could build these really fast dashboards and grab intelligence out of it but without data it doesn't do anything right so how do you drive and how do you bring more data in and most importantly from a customer perspective how do you bring the right data in and so if you think about what node zero and what we're doing in a horizon 3 is that sure we do pen testing but because we're an autonomous pen testing tool we do it continuously so this whole thought I'd be like oh crud like my customers oh yeah we got a pen test coming up it's gonna be six weeks the week oh yeah you know and everyone's gonna sit on their hands call me back in two months Chris we'll talk to you then right not not a real efficient way to test your environment and shoot we saw that with Uber this week right um you know and that's a case where we could have helped oh just right we could explain the Uber thing because it was a contractor just give a quick highlight of what happened so you can connect the doctor yeah no problem so um it was uh I got I think it was yeah one of those uh you know games where they would try and test an environment um and with the uh pen tester did was he kept on calling them MFA guys being like I need to reset my password we need to set my right password and eventually the um the customer service guy said okay I'm resetting it once he had reset and bypassed the multi-factor authentication he then was able to get in and get access to the building area that he was in or I think not the domain but he was able to gain access to a partial part of that Network he then paralleled over to what I would assume is like a VA VMware or some virtual machine that had notes that had all of the credentials for logging into various domains and So within minutes they had access and that's the sort of stuff that we do you know a lot of these tools like um you know you think about the cacophony of tools that are out there in a GTA architect architecture right I'm gonna get like a z-scale or I'm going to have uh octum and I have a Splunk I've been into the solar system I mean I don't mean to name names we have crowdstriker or Sentinel one in there it's just it's a cacophony of things that don't work together they weren't designed work together and so we have seen so many times in our business through our customer support and just working with customers when we do their pen tests that there will be 5 000 servers out there three are misconfigured those three misconfigurations will create the open door because remember the hacker only needs to be right once the defender needs to be right all the time and that's the challenge and so that's what I'm really passionate about what we're doing uh here at Horizon three I see this my digital transformation migration and security going on which uh we're at the tip of the spear it's why I joined sey Hall coming on this journey uh and just super excited about where the path's going and super excited about the relationship with Splunk I get into more details on some of the specifics of that but um you know well you're nailing I mean we've been doing a lot of things on super cloud and this next gen environment we're calling it next gen you're really seeing devops obviously devsecops has already won the it role has moved to the developer shift left is an indicator of that it's one of the many examples higher velocity code software supply chain you hear these things that means that it is now in the developer hands it is replaced by the new Ops data Ops teams and security where there's a lot of horizontal thinking to your point about access there's no more perimeter huge 100 right is really right on things one time you know to get in there once you're in then you can hang out move around move laterally big problem okay so we get that now the challenges for these teams as they are transitioning organizationally how do they figure out what to do okay this is the next step they already have Splunk so now they're kind of in transition while protecting for a hundred percent ratio of success so how would you look at that and describe the challenge is what do they do what is it what are the teams facing with their data and what's next what are they what are they what action do they take so let's use some vernacular that folks will know so if I think about devsecops right we both know what that means that I'm going to build security into the app it normally talks about sec devops right how am I building security around the perimeter of what's going inside my ecosystem and what are they doing and so if you think about what we're able to do with somebody like Splunk is we can pen test the entire environment from Soup To Nuts right so I'm going to test the end points through to its I'm going to look for misconfigurations I'm going to I'm going to look for um uh credential exposed credentials you know I'm going to look for anything I can in the environment again I'm going to do it at light speed and and what what we're doing for that SEC devops space is to you know did you detect that we were in your environment so did we alert Splunk or the Sim that there's someone in the environment laterally moving around did they more importantly did they log us into their environment and when do they detect that log to trigger that log did they alert on us and then finally most importantly for every CSO out there is going to be did they stop us and so that's how we we do this and I think you when speaking with um stay Hall before you know we've come up with this um boils but we call it fine fix verifying so what we do is we go in is we act as the attacker right we act in a production environment so we're not going to be we're a passive attacker but we will go in on credentialed on agents but we have to assume to have an assumed breach model which means we're going to put a Docker container in your environment and then we're going to fingerprint the environment so we're going to go out and do an asset survey now that's something that's not something that Splunk does super well you know so can Splunk see all the assets do the same assets marry up we're going to log all that data and think and then put load that into this long Sim or the smoke logging tools just to have it in Enterprise right that's an immediate future ad that they've got um and then we've got the fix so once we've completed our pen test um we are then going to generate a report and we can talk about these in a little bit later but the reports will show an executive summary the assets that we found which would be your asset Discovery aspect of that a fix report and the fixed report I think is probably the most important one it will go down and identify what we did how we did it and then how to fix that and then from that the pen tester or the organization should fix those then they go back and run another test and then they validate like a change detection environment to see hey did those fixes taste play take place and you know snehaw when he was the CTO of jsoc he shared with me a number of times about it's like man there would be 15 more items on next week's punch sheet that we didn't know about and it's and it has to do with how we you know how they were uh prioritizing the cves and whatnot because they would take all CBDs it was critical or non-critical and it's like we are able to create context in that environment that feeds better information into Splunk and whatnot that brings that brings up the efficiency for Splunk specifically the teams out there by the way the burnout thing is real I mean this whole I just finished my list and I got 15 more or whatever the list just can keeps growing how did node zero specifically help Splunk teams be more efficient like that's the question I want to get at because this seems like a very scale way for Splunk customers and teams service teams to be more so the question is how does node zero help make Splunk specifically their service teams be more efficient so so today in our early interactions we're building customers we've seen are five things um and I'll start with sort of identifying the blind spots right so kind of what I just talked about with you did we detect did we log did we alert did they stop node zero right and so I would I put that you know a more Layman's third grade term and if I was going to beat a fifth grader at this game would be we can be the sparring partner for a Splunk Enterprise customer a Splunk Essentials customer someone using Splunk soar or even just an Enterprise Splunk customer that may be a small shop with three people and just wants to know where am I exposed so by creating and generating these reports and then having um the API that actually generates the dashboard they can take all of these events that we've logged and log them in and then where that then comes in is number two is how do we prioritize those logs right so how do we create visibility to logs that that um are have critical impacts and again as I mentioned earlier not all cves are high impact regard and also not all or low right so if you daisy chain a bunch of low cves together boom I've got a mission critical AP uh CPE that needs to be fixed now such as a credential moving to an NT box that's got a text file with a bunch of passwords on it that would be very bad um and then third would be uh verifying that you have all of the hosts so one of the things that splunk's not particularly great at and they'll literate themselves they don't do asset Discovery so dude what assets do we see and what are they logging from that um and then for from um for every event that they are able to identify one of the cool things that we can do is actually create this low code no code environment so they could let you know Splunk customers can use Splunk sword to actually triage events and prioritize that event so where they're being routed within it to optimize the Sox team time to Market or time to triage any given event obviously reducing MTR and then finally I think one of the neatest things that we'll be seeing us develop is um our ability to build glass cables so behind me you'll see one of our triage events and how we build uh a Lockheed Martin kill chain on that with a glass table which is very familiar to the community we're going to have the ability and not too distant future to allow people to search observe on those iocs and if people aren't familiar with it ioc it's an instant of a compromise so that's a vector that we want to drill into and of course who's better at Drilling in the data and smoke yeah this is a critter this is an awesome Synergy there I mean I can see a Splunk customer going man this just gives me so much more capability action actionability and also real understanding and I think this is what I want to dig into if you don't mind understanding that critical impact okay is kind of where I see this coming got the data data ingest now data's data but the question is what not to log you know where are things misconfigured these are critical questions so can you talk about what it means to understand critical impact yeah so I think you know going back to the things that I just spoke about a lot of those cves where you'll see um uh low low low and then you daisy chain together and they're suddenly like oh this is high now but then your other impact of like if you're if you're a Splunk customer you know and I had it I had several of them I had one customer that you know terabytes of McAfee data being brought in and it was like all right there's a lot of other data that you probably also want to bring but they could only afford wanted to do certain data sets because that's and they didn't know how to prioritize or filter those data sets and so we provide that opportunity to say hey these are the critical ones to bring in but there's also the ones that you don't necessarily need to bring in because low cve in this case really does mean low cve like an ILO server would be one that um that's the print server uh where the uh your admin credentials are on on like a printer and so there will be credentials on that that's something that a hacker might go in to look at so although the cve on it is low is if you daisy chain with somebody that's able to get into that you might say Ah that's high and we would then potentially rank it giving our AI logic to say that's a moderate so put it on the scale and we prioritize those versus uh of all of these scanners just going to give you a bunch of CDs and good luck and translating that if I if I can and tell me if I'm wrong that kind of speaks to that whole lateral movement that's it challenge right print serve a great example looks stupid low end who's going to want to deal with the print server oh but it's connected into a critical system there's a path is that kind of what you're getting at yeah I use Daisy Chain I think that's from the community they came from uh but it's just a lateral movement it's exactly what they're doing in those low level low critical lateral movements is where the hackers are getting in right so that's the beauty thing about the uh the Uber example is that who would have thought you know I've got my monthly Factor authentication going in a human made a mistake we can't we can't not expect humans to make mistakes we're fallible right the reality is is once they were in the environment they could have protected themselves by running enough pen tests to know that they had certain uh exposed credentials that would have stopped the breach and they did not had not done that in their environment and I'm not poking yeah but it's an interesting Trend though I mean it's obvious if sometimes those low end items are also not protected well so it's easy to get at from a hacker standpoint but also the people in charge of them can be fished easily or spearfished because they're not paying attention because they don't have to no one ever told them hey be careful yeah for the community that I came from John that's exactly how they they would uh meet you at a uh an International Event um introduce themselves as a graduate student these are National actor States uh would you mind reviewing my thesis on such and such and I was at Adobe at the time that I was working on this instead of having to get the PDF they opened the PDF and whoever that customer was launches and I don't know if you remember back in like 2008 time frame there was a lot of issues around IP being by a nation state being stolen from the United States and that's exactly how they did it and John that's or LinkedIn hey I want to get a joke we want to hire you double the salary oh I'm gonna click on that for sure you know yeah right exactly yeah the one thing I would say to you is like uh when we look at like sort of you know because I think we did 10 000 pen tests last year is it's probably over that now you know we have these sort of top 10 ways that we think and find people coming into the environment the funniest thing is that only one of them is a cve related vulnerability like uh you know you guys know what they are right so it's it but it's it's like two percent of the attacks are occurring through the cves but yeah there's all that attention spent to that and very little attention spent to this pen testing side which is sort of this continuous threat you know monitoring space and and this vulnerability space where I think we play a such an important role and I'm so excited to be a part of the tip of the spear on this one yeah I'm old enough to know the movie sneakers which I loved as a you know watching that movie you know professional hackers are testing testing always testing the environment I love this I got to ask you as we kind of wrap up here Chris if you don't mind the the benefits to Professional Services from this Alliance big news Splunk and you guys work well together we see that clearly what are what other benefits do Professional Services teams see from the Splunk and Horizon 3.ai Alliance so if you're I think for from our our from both of our uh Partners uh as we bring these guys together and many of them already are the same partner right uh is that uh first off the licensing model is probably one of the key areas that we really excel at so if you're an end user you can buy uh for the Enterprise by the number of IP addresses you're using um but uh if you're a partner working with this there's solution ways that you can go in and we'll license as to msps and what that business model on msps looks like but the unique thing that we do here is this C plus license and so the Consulting plus license allows like a uh somebody a small to mid-sized to some very large uh you know Fortune 100 uh consulting firms use this uh by buying into a license called um Consulting plus where they can have unlimited uh access to as many IPS as they want but you can only run one test at a time and as you can imagine when we're going and hacking passwords and um checking hashes and decrypting hashes that can take a while so but for the right customer it's it's a perfect tool and so I I'm so excited about our ability to go to market with uh our partners so that we understand ourselves understand how not to just sell to or not tell just to sell through but we know how to sell with them as a good vendor partner I think that that's one thing that we've done a really good job building bring it into the market yeah I think also the Splunk has had great success how they've enabled uh partners and Professional Services absolutely you know the services that layer on top of Splunk are multi-fold tons of great benefits so you guys Vector right into that ride that way with friction and and the cool thing is that in you know in one of our reports which could be totally customized uh with someone else's logo we're going to generate you know so I I used to work in another organization it wasn't Splunk but we we did uh you know pen testing as for for customers and my pen testers would come on site they'd do the engagement and they would leave and then another release someone would be oh shoot we got another sector that was breached and they'd call you back you know four weeks later and so by August our entire pen testings teams would be sold out and it would be like well even in March maybe and they're like no no I gotta breach now and and and then when they do go in they go through do the pen test and they hand over a PDF and they pack on the back and say there's where your problems are you need to fix it and the reality is that what we're going to generate completely autonomously with no human interaction is we're going to go and find all the permutations of anything we found and the fix for those permutations and then once you've fixed everything you just go back and run another pen test it's you know for what people pay for one pen test they can have a tool that does that every every Pat patch on Tuesday and that's on Wednesday you know triage throughout the week green yellow red I wanted to see the colors show me green green is good right not red and one CIO doesn't want who doesn't want that dashboard right it's it's exactly it and we can help bring I think that you know I'm really excited about helping drive this with the Splunk team because they get that they understand that it's the green yellow red dashboard and and how do we help them find more green uh so that the other guys are in red yeah and get in the data and do the right thing and be efficient with how you use the data know what to look at so many things to pay attention to you know the combination of both and then go to market strategy real brilliant congratulations Chris thanks for coming on and sharing um this news with the detail around the Splunk in action around the alliance thanks for sharing John my pleasure thanks look forward to seeing you soon all right great we'll follow up and do another segment on devops and I.T and security teams as the new new Ops but and super cloud a bunch of other stuff so thanks for coming on and our next segment the CEO of horizon 3.aa will break down all the new news for us here on thecube you're watching thecube the leader in high tech Enterprise coverage [Music] yeah the partner program for us has been fantastic you know I think prior to that you know as most organizations most uh uh most Farmers most mssps might not necessarily have a a bench at all for penetration testing uh maybe they subcontract this work out or maybe they do it themselves but trying to staff that kind of position can be incredibly difficult for us this was a differentiator a a new a new partner a new partnership that allowed us to uh not only perform services for our customers but be able to provide a product by which that they can do it themselves so we work with our customers in a variety of ways some of them want more routine testing and perform this themselves but we're also a certified service provider of horizon 3 being able to perform uh penetration tests uh help review the the data provide color provide analysis for our customers in a broader sense right not necessarily the the black and white elements of you know what was uh what's critical what's high what's medium what's low what you need to fix but are there systemic issues this has allowed us to onboard new customers this has allowed us to migrate some penetration testing services to us from from competitors in the marketplace But ultimately this is occurring because the the product and the outcome are special they're unique and they're effective our customers like what they're seeing they like the routineness of it many of them you know again like doing this themselves you know being able to kind of pen test themselves parts of their networks um and the the new use cases right I'm a large organization I have eight to ten Acquisitions per year wouldn't it be great to have a tool to be able to perform a penetration test both internal and external of that acquisition before we integrate the two companies and maybe bringing on some risk it's a very effective partnership uh one that really is uh kind of taken our our Engineers our account Executives by storm um you know this this is a a partnership that's been very valuable to us [Music] a key part of the value and business model at Horizon 3 is enabling Partners to leverage node zero to make more revenue for themselves our goal is that for sixty percent of our Revenue this year will be originated by partners and that 95 of our Revenue next year will be originated by partners and so a key to that strategy is making us an integral part of your business models as a partner a key quote from one of our partners is that we enable every one of their business units to generate Revenue so let's talk about that in a little bit more detail first is that if you have a pen test Consulting business take Deloitte as an example what was six weeks of human labor at Deloitte per pen test has been cut down to four days of Labor using node zero to conduct reconnaissance find all the juicy interesting areas of the of the Enterprise that are exploitable and being able to go assess the entire organization and then all of those details get served up to the human to be able to look at understand and determine where to probe deeper so what you see in that pen test Consulting business is that node zero becomes a force multiplier where those Consulting teams were able to cover way more accounts and way more IPS within those accounts with the same or fewer consultants and so that directly leads to profit margin expansion for the Penn testing business itself because node 0 is a force multiplier the second business model here is if you're an mssp as an mssp you're already making money providing defensive cyber security operations for a large volume of customers and so what they do is they'll license node zero and use us as an upsell to their mssb business to start to deliver either continuous red teaming continuous verification or purple teaming as a service and so in that particular business model they've got an additional line of Revenue where they can increase the spend of their existing customers by bolting on node 0 as a purple team as a service offering the third business model or customer type is if you're an I.T services provider so as an I.T services provider you make money installing and configuring security products like Splunk or crowdstrike or hemio you also make money reselling those products and you also make money generating follow-on services to continue to harden your customer environments and so for them what what those it service providers will do is use us to verify that they've installed Splunk correctly improved to their customer that Splunk was installed correctly or crowdstrike was installed correctly using our results and then use our results to drive follow-on services and revenue and then finally we've got the value-added reseller which is just a straight up reseller because of how fast our sales Cycles are these vars are able to typically go from cold email to deal close in six to eight weeks at Horizon 3 at least a single sales engineer is able to run 30 to 50 pocs concurrently because our pocs are very lightweight and don't require any on-prem customization or heavy pre-sales post sales activity so as a result we're able to have a few amount of sellers driving a lot of Revenue and volume for us well the same thing applies to bars there isn't a lot of effort to sell the product or prove its value so vars are able to sell a lot more Horizon 3 node zero product without having to build up a huge specialist sales organization so what I'm going to do is talk through uh scenario three here as an I.T service provider and just how powerful node zero can be in driving additional Revenue so in here think of for every one dollar of node zero license purchased by the IT service provider to do their business it'll generate ten dollars of additional revenue for that partner so in this example kidney group uses node 0 to verify that they have installed and deployed Splunk correctly so Kitty group is a Splunk partner they they sell it services to install configure deploy and maintain Splunk and as they deploy Splunk they're going to use node 0 to attack the environment and make sure that the right logs and alerts and monitoring are being handled within the Splunk deployment so it's a way of doing QA or verifying that Splunk has been configured correctly and that's going to be internally used by kidney group to prove the quality of their services that they've just delivered then what they're going to do is they're going to show and leave behind that node zero Report with their client and that creates a resell opportunity for for kidney group to resell node 0 to their client because their client is seeing the reports and the results and saying wow this is pretty amazing and those reports can be co-branded where it's a pen testing report branded with kidney group but it says powered by Horizon three under it from there kidney group is able to take the fixed actions report that's automatically generated with every pen test through node zero and they're able to use that as the starting point for a statement of work to sell follow-on services to fix all of the problems that node zero identified fixing l11r misconfigurations fixing or patching VMware or updating credentials policies and so on so what happens is node 0 has found a bunch of problems the client often lacks the capacity to fix and so kidney group can use that lack of capacity by the client as a follow-on sales opportunity for follow-on services and finally based on the findings from node zero kidney group can look at that report and say to the customer you know customer if you bought crowdstrike you'd be able to uh prevent node Zero from attacking and succeeding in the way that it did for if you bought humano or if you bought Palo Alto networks or if you bought uh some privileged access management solution because of what node 0 was able to do with credential harvesting and attacks and so as a result kidney group is able to resell other security products within their portfolio crowdstrike Falcon humano Polito networks demisto Phantom and so on based on the gaps that were identified by node zero and that pen test and what that creates is another feedback loop where kidney group will then go use node 0 to verify that crowdstrike product has actually been installed and configured correctly and then this becomes the cycle of using node 0 to verify a deployment using that verification to drive a bunch of follow-on services and resell opportunities which then further drives more usage of the product now the way that we licensed is that it's a usage-based license licensing model so that the partner will grow their node zero Consulting plus license as they grow their business so for example if you're a kidney group then week one you've got you're going to use node zero to verify your Splunk install in week two if you have a pen testing business you're going to go off and use node zero to be a force multiplier for your pen testing uh client opportunity and then if you have an mssp business then in week three you're going to use node zero to go execute a purple team mssp offering for your clients so not necessarily a kidney group but if you're a Deloitte or ATT these larger companies and you've got multiple lines of business if you're Optive for instance you all you have to do is buy one Consulting plus license and you're going to be able to run as many pen tests as you want sequentially so now you can buy a single license and use that one license to meet your week one client commitments and then meet your week two and then meet your week three and as you grow your business you start to run multiple pen tests concurrently so in week one you've got to do a Splunk verify uh verify Splunk install and you've got to run a pen test and you've got to do a purple team opportunity you just simply expand the number of Consulting plus licenses from one license to three licenses and so now as you systematically grow your business you're able to grow your node zero capacity with you giving you predictable cogs predictable margins and once again 10x additional Revenue opportunity for that investment in the node zero Consulting plus license my name is Saint I'm the co-founder and CEO here at Horizon 3. I'm going to talk to you today about why it's important to look at your Enterprise Through The Eyes of an attacker the challenge I had when I was a CIO in banking the CTO at Splunk and serving within the Department of Defense is that I had no idea I was Secure until the bad guys had showed up am I logging the right data am I fixing the right vulnerabilities are my security tools that I've paid millions of dollars for actually working together to defend me and the answer is I don't know does my team actually know how to respond to a breach in the middle of an incident I don't know I've got to wait for the bad guys to show up and so the challenge I had was how do we proactively verify our security posture I tried a variety of techniques the first was the use of vulnerability scanners and the challenge with vulnerability scanners is being vulnerable doesn't mean you're exploitable I might have a hundred thousand findings from my scanner of which maybe five or ten can actually be exploited in my environment the other big problem with scanners is that they can't chain weaknesses together from machine to machine so if you've got a thousand machines in your environment or more what a vulnerability scanner will do is tell you you have a problem on machine one and separately a problem on machine two but what they can tell you is that an attacker could use a load from machine one plus a low from machine two to equal to critical in your environment and what attackers do in their tactics is they chain together misconfigurations dangerous product defaults harvested credentials and exploitable vulnerabilities into attack paths across different machines so to address the attack pads across different machines I tried layering in consulting-based pen testing and the issue is when you've got thousands of hosts or hundreds of thousands of hosts in your environment human-based pen testing simply doesn't scale to test an infrastructure of that size moreover when they actually do execute a pen test and you get the report oftentimes you lack the expertise within your team to quickly retest to verify that you've actually fixed the problem and so what happens is you end up with these pen test reports that are incomplete snapshots and quickly going stale and then to mitigate that problem I tried using breach and attack simulation tools and the struggle with these tools is one I had to install credentialed agents everywhere two I had to write my own custom attack scripts that I didn't have much talent for but also I had to maintain as my environment changed and then three these types of tools were not safe to run against production systems which was the the majority of my attack surface so that's why we went off to start Horizon 3. so Tony and I met when we were in Special Operations together and the challenge we wanted to solve was how do we do infrastructure security testing at scale by giving the the power of a 20-year pen testing veteran into the hands of an I.T admin a network engineer in just three clicks and the whole idea is we enable these fixers The Blue Team to be able to run node Zero Hour pen testing product to quickly find problems in their environment that blue team will then then go off and fix the issues that were found and then they can quickly rerun the attack to verify that they fixed the problem and the whole idea is delivering this without requiring custom scripts be developed without requiring credential agents be installed and without requiring the use of external third-party consulting services or Professional Services self-service pen testing to quickly Drive find fix verify there are three primary use cases that our customers use us for the first is the sock manager that uses us to verify that their security tools are actually effective to verify that they're logging the right data in Splunk or in their Sim to verify that their managed security services provider is able to quickly detect and respond to an attack and hold them accountable for their slas or that the sock understands how to quickly detect and respond and measuring and verifying that or that the variety of tools that you have in your stack most organizations have 130 plus cyber security tools none of which are designed to work together are actually working together the second primary use case is proactively hardening and verifying your systems this is when the I that it admin that network engineer they're able to run self-service pen tests to verify that their Cisco environment is installed in hardened and configured correctly or that their credential policies are set up right or that their vcenter or web sphere or kubernetes environments are actually designed to be secure and what this allows the it admins and network Engineers to do is shift from running one or two pen tests a year to 30 40 or more pen tests a month and you can actually wire those pen tests into your devops process or into your detection engineering and the change management processes to automatically trigger pen tests every time there's a change in your environment the third primary use case is for those organizations lucky enough to have their own internal red team they'll use node zero to do reconnaissance and exploitation at scale and then use the output as a starting point for the humans to step in and focus on the really hard juicy stuff that gets them on stage at Defcon and so these are the three primary use cases and what we'll do is zoom into the find fix verify Loop because what I've found in my experience is find fix verify is the future operating model for cyber security organizations and what I mean here is in the find using continuous pen testing what you want to enable is on-demand self-service pen tests you want those pen tests to find attack pads at scale spanning your on-prem infrastructure your Cloud infrastructure and your perimeter because attackers don't only state in one place they will find ways to chain together a perimeter breach a credential from your on-prem to gain access to your cloud or some other permutation and then the third part in continuous pen testing is attackers don't focus on critical vulnerabilities anymore they know we've built vulnerability Management Programs to reduce those vulnerabilities so attackers have adapted and what they do is chain together misconfigurations in your infrastructure and software and applications with dangerous product defaults with exploitable vulnerabilities and through the collection of credentials through a mix of techniques at scale once you've found those problems the next question is what do you do about it well you want to be able to prioritize fixing problems that are actually exploitable in your environment that truly matter meaning they're going to lead to domain compromise or domain user compromise or access your sensitive data the second thing you want to fix is making sure you understand what risk your crown jewels data is exposed to where is your crown jewels data is in the cloud is it on-prem has it been copied to a share drive that you weren't aware of if a domain user was compromised could they access that crown jewels data you want to be able to use the attacker's perspective to secure the critical data you have in your infrastructure and then finally as you fix these problems you want to quickly remediate and retest that you've actually fixed the issue and this fine fix verify cycle becomes that accelerator that drives purple team culture the third part here is verify and what you want to be able to do in the verify step is verify that your security tools and processes in people can effectively detect and respond to a breach you want to be able to integrate that into your detection engineering processes so that you know you're catching the right security rules or that you've deployed the right configurations you also want to make sure that your environment is adhering to the best practices around systems hardening in cyber resilience and finally you want to be able to prove your security posture over a time to your board to your leadership into your regulators so what I'll do now is zoom into each of these three steps so when we zoom in to find here's the first example using node 0 and autonomous pen testing and what an attacker will do is find a way to break through the perimeter in this example it's very easy to misconfigure kubernetes to allow an attacker to gain remote code execution into your on-prem kubernetes environment and break through the perimeter and from there what the attacker is going to do is conduct Network reconnaissance and then find ways to gain code execution on other machines in the environment and as they get code execution they start to dump credentials collect a bunch of ntlm hashes crack those hashes using open source and dark web available data as part of those attacks and then reuse those credentials to log in and laterally maneuver throughout the environment and then as they loudly maneuver they can reuse those credentials and use credential spraying techniques and so on to compromise your business email to log in as admin into your cloud and this is a very common attack and rarely is a CV actually needed to execute this attack often it's just a misconfiguration in kubernetes with a bad credential policy or password policy combined with bad practices of credential reuse across the organization here's another example of an internal pen test and this is from an actual customer they had 5 000 hosts within their environment they had EDR and uba tools installed and they initiated in an internal pen test on a single machine from that single initial access point node zero enumerated the network conducted reconnaissance and found five thousand hosts were accessible what node 0 will do under the covers is organize all of that reconnaissance data into a knowledge graph that we call the Cyber terrain map and that cyber Terrain map becomes the key data structure that we use to efficiently maneuver and attack and compromise your environment so what node zero will do is they'll try to find ways to get code execution reuse credentials and so on in this customer example they had Fortinet installed as their EDR but node 0 was still able to get code execution on a Windows machine from there it was able to successfully dump credentials including sensitive credentials from the lsas process on the Windows box and then reuse those credentials to log in as domain admin in the network and once an attacker becomes domain admin they have the keys to the kingdom they can do anything they want so what happened here well it turns out Fortinet was misconfigured on three out of 5000 machines bad automation the customer had no idea this had happened they would have had to wait for an attacker to show up to realize that it was misconfigured the second thing is well why didn't Fortinet stop the credential pivot in the lateral movement and it turned out the customer didn't buy the right modules or turn on the right services within that particular product and we see this not only with Ford in it but we see this with Trend Micro and all the other defensive tools where it's very easy to miss a checkbox in the configuration that will do things like prevent credential dumping the next story I'll tell you is attackers don't have to hack in they log in so another infrastructure pen test a typical technique attackers will take is man in the middle uh attacks that will collect hashes so in this case what an attacker will do is leverage a tool or technique called responder to collect ntlm hashes that are being passed around the network and there's a variety of reasons why these hashes are passed around and it's a pretty common misconfiguration but as an attacker collects those hashes then they start to apply techniques to crack those hashes so they'll pass the hash and from there they will use open source intelligence common password structures and patterns and other types of techniques to try to crack those hashes into clear text passwords so here node 0 automatically collected hashes it automatically passed the hashes to crack those credentials and then from there it starts to take the domain user user ID passwords that it's collected and tries to access different services and systems in your Enterprise in this case node 0 is able to successfully gain access to the Office 365 email environment because three employees didn't have MFA configured so now what happens is node 0 has a placement and access in the business email system which sets up the conditions for fraud lateral phishing and other techniques but what's especially insightful here is that 80 of the hashes that were collected in this pen test were cracked in 15 minutes or less 80 percent 26 of the user accounts had a password that followed a pretty obvious pattern first initial last initial and four random digits the other thing that was interesting is 10 percent of service accounts had their user ID the same as their password so VMware admin VMware admin web sphere admin web Square admin so on and so forth and so attackers don't have to hack in they just log in with credentials that they've collected the next story here is becoming WS AWS admin so in this example once again internal pen test node zero gets initial access it discovers 2 000 hosts are network reachable from that environment if fingerprints and organizes all of that data into a cyber Terrain map from there it it fingerprints that hpilo the integrated lights out service was running on a subset of hosts hpilo is a service that is often not instrumented or observed by security teams nor is it easy to patch as a result attackers know this and immediately go after those types of services so in this case that ILO service was exploitable and were able to get code execution on it ILO stores all the user IDs and passwords in clear text in a particular set of processes so once we gain code execution we were able to dump all of the credentials and then from there laterally maneuver to log in to the windows box next door as admin and then on that admin box we're able to gain access to the share drives and we found a credentials file saved on a share Drive from there it turned out that credentials file was the AWS admin credentials file giving us full admin authority to their AWS accounts not a single security alert was triggered in this attack because the customer wasn't observing the ILO service and every step thereafter was a valid login in the environment and so what do you do step one patch the server step two delete the credentials file from the share drive and then step three is get better instrumentation on privileged access users and login the final story I'll tell is a typical pattern that we see across the board with that combines the various techniques I've described together where an attacker is going to go off and use open source intelligence to find all of the employees that work at your company from there they're going to look up those employees on dark web breach databases and other forms of information and then use that as a starting point to password spray to compromise a domain user all it takes is one employee to reuse a breached password for their Corporate email or all it takes is a single employee to have a weak password that's easily guessable all it takes is one and once the attacker is able to gain domain user access in most shops domain user is also the local admin on their laptop and once your local admin you can dump Sam and get local admin until M hashes you can use that to reuse credentials again local admin on neighboring machines and attackers will start to rinse and repeat then eventually they're able to get to a point where they can dump lsas or by unhooking the anti-virus defeating the EDR or finding a misconfigured EDR as we've talked about earlier to compromise the domain and what's consistent is that the fundamentals are broken at these shops they have poor password policies they don't have least access privilege implemented active directory groups are too permissive where domain admin or domain user is also the local admin uh AV or EDR Solutions are misconfigured or easily unhooked and so on and what we found in 10 000 pen tests is that user Behavior analytics tools never caught us in that lateral movement in part because those tools require pristine logging data in order to work and also it becomes very difficult to find that Baseline of normal usage versus abnormal usage of credential login another interesting Insight is there were several Marquee brand name mssps that were defending our customers environment and for them it took seven hours to detect and respond to the pen test seven hours the pen test was over in less than two hours and so what you had was an egregious violation of the service level agreements that that mssp had in place and the customer was able to use us to get service credit and drive accountability of their sock and of their provider the third interesting thing is in one case it took us seven minutes to become domain admin in a bank that bank had every Gucci security tool you could buy yet in 7 minutes and 19 seconds node zero started as an unauthenticated member of the network and was able to escalate privileges through chaining and misconfigurations in lateral movement and so on to become domain admin if it's seven minutes today we should assume it'll be less than a minute a year or two from now making it very difficult for humans to be able to detect and respond to that type of Blitzkrieg attack so that's in the find it's not just about finding problems though the bulk of the effort should be what to do about it the fix and the verify so as you find those problems back to kubernetes as an example we will show you the path here is the kill chain we took to compromise that environment we'll show you the impact here is the impact or here's the the proof of exploitation that we were able to use to be able to compromise it and there's the actual command that we executed so you could copy and paste that command and compromise that cubelet yourself if you want and then the impact is we got code execution and we'll actually show you here is the impact this is a critical here's why it enabled perimeter breach affected applications will tell you the specific IPS where you've got the problem how it maps to the miter attack framework and then we'll tell you exactly how to fix it we'll also show you what this problem enabled so you can accurately prioritize why this is important or why it's not important the next part is accurate prioritization the hardest part of my job as a CIO was deciding what not to fix so if you take SMB signing not required as an example by default that CVSs score is a one out of 10. but this misconfiguration is not a cve it's a misconfig enable an attacker to gain access to 19 credentials including one domain admin two local admins and access to a ton of data because of that context this is really a 10 out of 10. you better fix this as soon as possible however of the seven occurrences that we found it's only a critical in three out of the seven and these are the three specific machines and we'll tell you the exact way to fix it and you better fix these as soon as possible for these four machines over here these didn't allow us to do anything of consequence so that because the hardest part is deciding what not to fix you can justifiably choose not to fix these four issues right now and just add them to your backlog and surge your team to fix these three as quickly as possible and then once you fix these three you don't have to re-run the entire pen test you can select these three and then one click verify and run a very narrowly scoped pen test that is only testing this specific issue and what that creates is a much faster cycle of finding and fixing problems the other part of fixing is verifying that you don't have sensitive data at risk so once we become a domain user we're able to use those domain user credentials and try to gain access to databases file shares S3 buckets git repos and so on and help you understand what sensitive data you have at risk so in this example a green checkbox means we logged in as a valid domain user we're able to get read write access on the database this is how many records we could have accessed and we don't actually look at the values in the database but we'll show you the schema so you can quickly characterize that pii data was at risk here and we'll do that for your file shares and other sources of data so now you can accurately articulate the data you have at risk and prioritize cleaning that data up especially data that will lead to a fine or a big news issue so that's the find that's the fix now we're going to talk about the verify the key part in verify is embracing and integrating with detection engineering practices so when you think about your layers of security tools you've got lots of tools in place on average 130 tools at any given customer but these tools were not designed to work together so when you run a pen test what you want to do is say did you detect us did you log us did you alert on us did you stop us and from there what you want to see is okay what are the techniques that are commonly used to defeat an environment to actually compromise if you look at the top 10 techniques we use and there's far more than just these 10 but these are the most often executed nine out of ten have nothing to do with cves it has to do with misconfigurations dangerous product defaults bad credential policies and it's how we chain those together to become a domain admin or compromise a host so what what customers will do is every single attacker command we executed is provided to you as an attackivity log so you can actually see every single attacker command we ran the time stamp it was executed the hosts it executed on and how it Maps the minor attack tactics so our customers will have are these attacker logs on one screen and then they'll go look into Splunk or exabeam or Sentinel one or crowdstrike and say did you detect us did you log us did you alert on us or not and to make that even easier if you take this example hey Splunk what logs did you see at this time on the VMware host because that's when node 0 is able to dump credentials and that allows you to identify and fix your logging blind spots to make that easier we've got app integration so this is an actual Splunk app in the Splunk App Store and what you can come is inside the Splunk console itself you can fire up the Horizon 3 node 0 app all of the pen test results are here so that you can see all of the results in one place and you don't have to jump out of the tool and what you'll show you as I skip forward is hey there's a pen test here are the critical issues that we've identified for that weaker default issue here are the exact commands we executed and then we will automatically query into Splunk all all terms on between these times on that endpoint that relate to this attack so you can now quickly within the Splunk environment itself figure out that you're missing logs or that you're appropriately catching this issue and that becomes incredibly important in that detection engineering cycle that I mentioned earlier so how do our customers end up using us they shift from running one pen test a year to 30 40 pen tests a month oftentimes wiring us into their deployment automation to automatically run pen tests the other part that they'll do is as they run more pen tests they find more issues but eventually they hit this inflection point where they're able to rapidly clean up their environment and that inflection point is because the red and the blue teams start working together in a purple team culture and now they're working together to proactively harden their environment the other thing our customers will do is run us from different perspectives they'll first start running an RFC 1918 scope to see once the attacker gained initial access in a part of the network that had wide access what could they do and then from there they'll run us within a specific Network segment okay from within that segment could the attacker break out and gain access to another segment then they'll run us from their work from home environment could they Traverse the VPN and do something damaging and once they're in could they Traverse the VPN and get into my cloud then they'll break in from the outside all of these perspectives are available to you in Horizon 3 and node zero as a single SKU and you can run as many pen tests as you want if you run a phishing campaign and find that an intern in the finance department had the worst phishing behavior you can then inject their credentials and actually show the end-to-end story of how an attacker fished gained credentials of an intern and use that to gain access to sensitive financial data so what our customers end up doing is running multiple attacks from multiple perspectives and looking at those results over time I'll leave you two things one is what is the AI in Horizon 3 AI those knowledge graphs are the heart and soul of everything that we do and we use machine learning reinforcement techniques reinforcement learning techniques Markov decision models and so on to be able to efficiently maneuver and analyze the paths in those really large graphs we also use context-based scoring to prioritize weaknesses and we're also able to drive collective intelligence across all of the operations so the more pen tests we run the smarter we get and all of that is based on our knowledge graph analytics infrastructure that we have finally I'll leave you with this was my decision criteria when I was a buyer for my security testing strategy what I cared about was coverage I wanted to be able to assess my on-prem cloud perimeter and work from home and be safe to run in production I want to be able to do that as often as I wanted I want to be able to run pen tests in hours or days not weeks or months so I could accelerate that fine fix verify loop I wanted my it admins and network Engineers with limited offensive experience to be able to run a pen test in a few clicks through a self-service experience and not have to install agent and not have to write custom scripts and finally I didn't want to get nickeled and dimed on having to buy different types of attack modules or different types of attacks I wanted a single annual subscription that allowed me to run any type of attack as often as I wanted so I could look at my Trends in directions over time so I hope you found this talk valuable uh we're easy to find and I look forward to seeing seeing you use a product and letting our results do the talking when you look at uh you know kind of the way no our pen testing algorithms work is we dynamically select uh how to compromise an environment based on what we've discovered and the goal is to become a domain admin compromise a host compromise domain users find ways to encrypt data steal sensitive data and so on but when you look at the the top 10 techniques that we ended up uh using to compromise environments the first nine have nothing to do with cves and that's the reality cves are yes a vector but less than two percent of cves are actually used in a compromise oftentimes it's some sort of credential collection credential cracking uh credential pivoting and using that to become an admin and then uh compromising environments from that point on so I'll leave this up for you to kind of read through and you'll have the slides available for you but I found it very insightful that organizations and ourselves when I was a GE included invested heavily in just standard vulnerability Management Programs when I was at DOD that's all disa cared about asking us about was our our kind of our cve posture but the attackers have adapted to not rely on cves to get in because they know that organizations are actively looking at and patching those cves and instead they're chaining together credentials from one place with misconfigurations and dangerous product defaults in another to take over an environment a concrete example is by default vcenter backups are not encrypted and so as if an attacker finds vcenter what they'll do is find the backup location and there are specific V sender MTD files where the admin credentials are parsippled in the binaries so you can actually as an attacker find the right MTD file parse out the binary and now you've got the admin credentials for the vcenter environment and now start to log in as admin there's a bad habit by signal officers and Signal practitioners in the in the Army and elsewhere where the the VM notes section of a virtual image has the password for the VM well those VM notes are not stored encrypted and attackers know this and they're able to go off and find the VMS that are unencrypted find the note section and pull out the passwords for those images and then reuse those credentials across the board so I'll pause here and uh you know Patrick love you get some some commentary on on these techniques and other things that you've seen and what we'll do in the last say 10 to 15 minutes is uh is rolled through a little bit more on what do you do about it yeah yeah no I love it I think um I think this is pretty exhaustive what I like about what you've done here is uh you know we've seen we've seen double-digit increases in the number of organizations that are reporting actual breaches year over year for the last um for the last three years and it's often we kind of in the Zeitgeist we pegged that on ransomware which of course is like incredibly important and very top of mind um but what I like about what you have here is you know we're reminding the audience that the the attack surface area the vectors the matter um you know has to be more comprehensive than just thinking about ransomware scenarios yeah right on um so let's build on this when you think about your defense in depth you've got multiple security controls that you've purchased and integrated and you've got that redundancy if a control fails but the reality is that these security tools aren't designed to work together so when you run a pen test what you want to ask yourself is did you detect node zero did you log node zero did you alert on node zero and did you stop node zero and when you think about how to do that every single attacker command executed by node zero is available in an attacker log so you can now see you know at the bottom here vcenter um exploit at that time on that IP how it aligns to minor attack what you want to be able to do is go figure out did your security tools catch this or not and that becomes very important in using the attacker's perspective to improve your defensive security controls and so the way we've tried to make this easier back to like my my my the you know I bleed Green in many ways still from my smoke background is you want to be able to and what our customers do is hey we'll look at the attacker logs on one screen and they'll look at what did Splunk see or Miss in another screen and then they'll use that to figure out what their logging blind spots are and what that where that becomes really interesting is we've actually built out an integration into Splunk where there's a Splunk app you can download off of Splunk base and you'll get all of the pen test results right there in the Splunk console and from that Splunk console you're gonna be able to see these are all the pen tests that were run these are the issues that were found um so you can look at that particular pen test here are all of the weaknesses that were identified for that particular pen test and how they categorize out for each of those weaknesses you can click on any one of them that are critical in this case and then we'll tell you for that weakness and this is where where the the punch line comes in so I'll pause the video here for that weakness these are the commands that were executed on these endpoints at this time and then we'll actually query Splunk for that um for that IP address or containing that IP and these are the source types that surface any sort of activity so what we try to do is help you as quickly and efficiently as possible identify the logging blind spots in your Splunk environment based on the attacker's perspective so as this video kind of plays through you can see it Patrick I'd love to get your thoughts um just seeing so many Splunk deployments and the effectiveness of those deployments and and how this is going to help really Elevate the effectiveness of all of your Splunk customers yeah I'm super excited about this I mean I think this these kinds of purpose-built integration snail really move the needle for our customers I mean at the end of the day when I think about the power of Splunk I think about a product I was first introduced to 12 years ago that was an on-prem piece of software you know and at the time it sold on sort of Perpetual and term licenses but one made it special was that it could it could it could eat data at a speed that nothing else that I'd have ever seen you can ingest massively scalable amounts of data uh did cool things like schema on read which facilitated that there was this language called SPL that you could nerd out about uh and you went to a conference once a year and you talked about all the cool things you were splunking right but now as we think about the next phase of our growth um we live in a heterogeneous environment where our customers have so many different tools and data sources that are ever expanding and as you look at the as you look at the role of the ciso it's mind-blowing to me the amount of sources Services apps that are coming into the ciso span of let's just call it a span of influence in the last three years uh you know we're seeing things like infrastructure service level visibility application performance monitoring stuff that just never made sense for the security team to have visibility into you um at least not at the size and scale which we're demanding today um and and that's different and this isn't this is why it's so important that we have these joint purpose-built Integrations that um really provide more prescription to our customers about how do they walk on that Journey towards maturity what does zero to one look like what does one to two look like whereas you know 10 years ago customers were happy with platforms today they want integration they want Solutions and they want to drive outcomes and I think this is a great example of how together we are stepping to the evolving nature of the market and also the ever-evolving nature of the threat landscape and what I would say is the maturing needs of the customer in that environment yeah for sure I think especially if if we all anticipate budget pressure over the next 18 months due to the economy and elsewhere while the security budgets are not going to ever I don't think they're going to get cut they're not going to grow as fast and there's a lot more pressure on organizations to extract more value from their existing Investments as well as extracting more value and more impact from their existing teams and so security Effectiveness Fierce prioritization and automation I think become the three key themes of security uh over the next 18 months so I'll do very quickly is run through a few other use cases um every host that we identified in the pen test were able to score and say this host allowed us to do something significant therefore it's it's really critical you should be increasing your logging here hey these hosts down here we couldn't really do anything as an attacker so if you do have to make trade-offs you can make some trade-offs of your logging resolution at the lower end in order to increase logging resolution on the upper end so you've got that level of of um justification for where to increase or or adjust your logging resolution another example is every host we've discovered as an attacker we Expose and you can export and we want to make sure is every host we found as an attacker is being ingested from a Splunk standpoint a big issue I had as a CIO and user of Splunk and other tools is I had no idea if there were Rogue Raspberry Pi's on the network or if a new box was installed and whether Splunk was installed on it or not so now you can quickly start to correlate what hosts did we see and how does that reconcile with what you're logging from uh finally or second to last use case here on the Splunk integration side is for every single problem we've found we give multiple options for how to fix it this becomes a great way to prioritize what fixed actions to automate in your soar platform and what we want to get to eventually is being able to automatically trigger soar actions to fix well-known problems like automatically invalidating passwords for for poor poor passwords in our credentials amongst a whole bunch of other things we could go off and do and then finally if there is a well-known kill chain or attack path one of the things I really wish I could have done when I was a Splunk customer was take this type of kill chain that actually shows a path to domain admin that I'm sincerely worried about and use it as a glass table over which I could start to layer possible indicators of compromise and now you've got a great starting point for glass tables and iocs for actual kill chains that we know are exploitable in your environment and that becomes some super cool Integrations that we've got on the roadmap between us and the Splunk security side of the house so what I'll leave with actually Patrick before I do that you know um love to get your comments and then I'll I'll kind of leave with one last slide on this wartime security mindset uh pending you know assuming there's no other questions no I love it I mean I think this kind of um it's kind of glass table's approach to how do you how do you sort of visualize these workflows and then use things like sore and orchestration and automation to operationalize them is exactly where we see all of our customers going and getting away from I think an over engineered approach to soar with where it has to be super technical heavy with you know python programmers and getting more to this visual view of workflow creation um that really demystifies the power of Automation and also democratizes it so you don't have to have these programming languages in your resume in order to start really moving the needle on workflow creation policy enforcement and ultimately driving automation coverage across more and more of the workflows that your team is seeing yeah I think that between us being able to visualize the actual kill chain or attack path with you know think of a of uh the soar Market I think going towards this no code low code um you know configurable sore versus coded sore that's going to really be a game changer in improve or giving security teams a force multiplier so what I'll leave you with is this peacetime mindset of security no longer is sustainable we really have to get out of checking the box and then waiting for the bad guys to show up to verify that security tools are are working or not and the reason why we've got to really do that quickly is there are over a thousand companies that withdrew from the Russian economy over the past uh nine months due to the Ukrainian War there you should expect every one of them to be punished by the Russians for leaving and punished from a cyber standpoint and this is no longer about financial extortion that is ransomware this is about punishing and destroying companies and you can punish any one of these companies by going after them directly or by going after their suppliers and their Distributors so suddenly your attack surface is no more no longer just your own Enterprise it's how you bring your goods to Market and it's how you get your goods created because while I may not be able to disrupt your ability to harvest fruit if I can get those trucks stuck at the border I can increase spoilage and have the same effect and what we should expect to see is this idea of cyber-enabled economic Warfare where if we issue a sanction like Banning the Russians from traveling there is a cyber-enabled counter punch which is corrupt and destroy the American Airlines database that is below the threshold of War that's not going to trigger the 82nd Airborne to be mobilized but it's going to achieve the right effect ban the sale of luxury goods disrupt the supply chain and create shortages banned Russian oil and gas attack refineries to call a 10x spike in gas prices three days before the election this is the future and therefore I think what we have to do is shift towards a wartime mindset which is don't trust your security posture verify it see yourself Through The Eyes of the attacker build that incident response muscle memory and drive better collaboration between the red and the blue teams your suppliers and Distributors and your information uh sharing organization they have in place and what's really valuable for me as a Splunk customer was when a router crashes at that moment you don't know if it's due to an I.T Administration problem or an attacker and what you want to have are different people asking different questions of the same data and you want to have that integrated triage process of an I.T lens to that problem a security lens to that problem and then from there figuring out is is this an IT workflow to execute or a security incident to execute and you want to have all of that as an integrated team integrated process integrated technology stack and this is something that I very care I cared very deeply about as both a Splunk customer and a Splunk CTO that I see time and time again across the board so Patrick I'll leave you with the last word the final three minutes here and I don't see any open questions so please take us home oh man see how you think we spent hours and hours prepping for this together that that last uh uh 40 seconds of your talk track is probably one of the things I'm most passionate about in this industry right now uh and I think nist has done some really interesting work here around building cyber resilient organizations that have that has really I think helped help the industry see that um incidents can come from adverse conditions you know stress is uh uh performance taxations in the infrastructure service or app layer and they can come from malicious compromises uh Insider threats external threat actors and the more that we look at this from the perspective of of a broader cyber resilience Mission uh in a wartime mindset uh I I think we're going to be much better off and and will you talk about with operationally minded ice hacks information sharing intelligence sharing becomes so important in these wartime uh um situations and you know we know not all ice acts are created equal but we're also seeing a lot of um more ad hoc information sharing groups popping up so look I think I think you framed it really really well I love the concept of wartime mindset and um I I like the idea of applying a cyber resilience lens like if you have one more layer on top of that bottom right cake you know I think the it lens and the security lens they roll up to this concept of cyber resilience and I think this has done some great work there for us yeah you're you're spot on and that that is app and that's gonna I think be the the next um terrain that that uh that you're gonna see vendors try to get after but that I think Splunk is best position to win okay that's a wrap for this special Cube presentation you heard all about the global expansion of horizon 3.ai's partner program for their Partners have a unique opportunity to take advantage of their node zero product uh International go to Market expansion North America channel Partnerships and just overall relationships with companies like Splunk to make things more comprehensive in this disruptive cyber security world we live in and hope you enjoyed this program all the videos are available on thecube.net as well as check out Horizon 3 dot AI for their pen test Automation and ultimately their defense system that they use for testing always the environment that you're in great Innovative product and I hope you enjoyed the program again I'm John Furrier host of the cube thanks for watching
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