Sam Kassoumeh, SecurityScorecard | CUBE Conversation
(upbeat music) >> Hey everyone, welcome to this CUBE conversation. I'm John Furrier, your host of theCUBE here in Palo Alto, California. We've got Sam Kassoumeh, co-founder and chief operating office at SecurityScorecard here remotely coming in. Thanks for coming on Sam. Security, Sam. Thanks for coming on. >> Thank you, John. Thanks for having me. >> Love the security conversations. I love what you guys are doing. I think this idea of managed services, SaaS. Developers love it. Operation teams love getting into tools easily and having values what you guys got with SecurityScorecard. So let's get into what we were talking before we came on. You guys have a unique solution around ratings, but also it's not your grandfather's pen test want to be security app. Take us through what you guys are doing at SecurityScorecard. >> Yeah. So just like you said, it's not a point in time assessment and it's similar to a traditional credit rating, but also a little bit different. You can really think about it in three steps. In step one, what we're doing is we're doing threat intelligence data collection. We invest really heavily into R&D function. We never stop investing in R&D. We collect all of our own data across the entire IPV force space. All of the different layers. Some of the data we collect is pretty straightforward. We might crawl a website like the example I was giving. We might crawl a website and see that the website says copyright 2005, but we know it's 2022. Now, while that signal isn't enough to go hack and break into the company, it's definitely a signal that someone might not be keeping things up to date. And if a hacker saw that it might encourage them to dig deeper. To more complex signals where we're running one of the largest DNS single infrastructures in the world. We're monitoring command and control malware and its behaviors. We're essentially collecting signals and vulnerabilities from the entire IPV force space, the entire network layer, the entire web app player, leaked credentials. Everything that we think about when we talk about the security onion, we collect data at each one of those layers of the onion. That's step one. And we can do all sorts of interesting insights and information and reports just out of that thread intel. Now, step two is really interesting. What we do is we go identify the attack surface area or what we call the digital footprint of any company in the world. So as a customer, you can simply type in the name of a company and we identify all of the domains, sub domains, subsidiaries, organizations that are identified on the internet that belong to that organization. So every digital asset of every company we go out and we identify that and we update that every 24 hours. And step three is the rating. The rating is probabilistic and it's deterministic. The rating is a benchmark. We're looking at companies compared to their peers of similar size within the same industry and we're looking at how they're performing. And it's probabilistic in the sense that companies that have an F are about seven to eight times more likely to experience a breach. We're an A through F scale, universally understood. Ds and Fs, more likely to experience a breach. A's we see less breaches now. Like I was mentioning before, it doesn't mean that an F is always going to get hacked or an A can never get hacked. If a nation state targets an A, they're going to eventually get in with enough persistence and budget. If the pizza shop on the corner has an F, they may never get hacked because no one cares, but natural correlation, more doors open to the house equals higher likelihood someone unauthorized is going to walk in. So it's really those three steps. The collection, we map it to the surface area of the company and then we produce a rating. Today we're rating about 12 million companies every single day. >> And how many people do you have as customers? >> We have 50,000 organizations using us, both free and paid. We have a freemium tier where just like Yelp or a LinkedIn business profile. Any company in the world has a right to go claim the score. We never extort companies to fix the score. We never charge a company to see the score or fix it. Any company in a world without paying us a cent can go in. They can understand what we're seeing about them, what a hacker could see about their environment. And then we empower them with the tools to fix it and they can fix it and the score will go up. Now companies pay us because they want enterprise capabilities. They want additional modules, insights, which we can talk about. But in total, there's about 50,000 companies that at any given point in time, they're monitoring about a million and a half organizations of the 12 million that we're rating. It sounds like Google. >> If you want to look at it. >> Sounds like Google Search you got going on there. You got a lot of search and then you create relevance, a score, like a ranking. >> That's precisely it. And that's exactly why Google ventures invested in us in our Series B round. And they're on our board. They looked and they said, wow, you guys are building like a Google Search engine over some really impressive threat intelligence. And then you're distilling it into a score which anybody in the world can easily understand. >> Yeah. You obviously have page rank, which changed the organic search business in the late 90s, early 2000s and the rest is history. AdWords. >> Yeah. >> So you got a lot of customer growth there potentially with the opt-in customer view, but you're looking at this from the outside in. You're looking at companies and saying, what's your security posture? Getting a feel for what they got going on and giving them scores. It sounds like it's not like a hacker proof. It's just more of a indicator for management and the team. >> It's an indicator. It's an indicator. Because today, when we go look at our vendors, business partners, third parties were flying blind. We have no idea how they're doing, how they're performing. So the status quo for the last 20 years has been perform a risk assessments, send a questionnaire, ask for a pen test and an audit evidence. We're trying to break that cycle. Nobody enjoys it. They're long tail. It's a trust without verification. We don't really like that. So we think we can evolve beyond this point in time assessment and give a continuous view. Now, today, historically, we've been outside in. Not intrusive, and we'll show you what a hacker can see about an environment, but we have some cool things percolating under the hood that give more of a 360 view outside, inside, and also a regulatory compliance view as well. >> Why is the compliance of the whole third party thing that you're engaging with important? Because I mean, obviously having some sort of way to say, who am I dealing with is important. I mean, we hear all kinds of things in the security landscape, oh, zero trust, and then we hear trust, supply chain, software risk, for example. There's a huge trust factor there. I need to trust this tool or this container. And then you got the zero trust, don't trust anything. And then you've got trust and verify. So you have all these different models and postures, and it just seems hard to keep up with. >> Sam: It's so hard. >> Take us through what that means 'cause pen tests, SOC reports. I mean the clouds help with the SOC report, but if you're doing agile, anything DevOps, you basically would need to do a pen test like every minute. >> It's impossible. The market shifted to the cloud. We watched and it still is. And that created a lot of complexity, not to date myself. But when I was starting off as a security practitioner, the data center used to be in the basement and I would have lunch with the database administrator and we talk about how we were protecting the data. Those days are long gone. We outsource a lot of our key business practices. We might use, for example, ADP for a payroll provider or Dropbox to store our data. But we've shifted and we no longer no who that person is that's protecting our data. They're sitting in another company in another area unknown. And I think about 10, 15 years ago, CISOs had the realization, Hey, wait a second. I'm relying on that third party to function and operate and protect my data, but I don't have any insight, visibility or control of their program. And we were recommended to use questionnaires and audit forms, and those are great. It's good hygiene. It's good practice. Get to know the people that are protecting your data, ask them the questions, get the evidence. The challenge is it's point in time, it's limited. Sometimes the information is inaccurate. Not intentionally, I don't think people intentionally want to go lie, but Hey, if there's a $50 million deal we're trying to close and it's dependent on checking this one box, someone might bend a rule a little bit. >> And I said on theCUBE publicly that I think pen test reports are probably being fudged and dates being replicated because it's just too fast. And again, today's world is about velocity on developers, trust on the code. So you got all kinds of trust issues. So I think verification, the blue check mark on Twitter kind of thing going on, you're going to see a lot more of that and I think this is just the beginning. I think what you guys are doing is scratching the surface. I think this outside in is a good first step, but that's not going to solve the internal problem that still coming and have big surface areas. So you got more surface area expanding. I mean, IOT's coming in, the Edge is coming fast. Never mind hybrid on-premise cloud. What's your organizations do to evaluate the risk and the third party? Hands shaking, verification, scorecards. Is it like a free look here or is it more depth to it? Do you double click on it? Take us through how this evolves. >> John it's become so disparate and so complex, Because in addition to the market moving to the cloud, we're now completely decentralized. People are working from home or working hybrid, which adds more endpoints. Then what we've learned over time is that it's not just a third party problem, because guess what? My third parties behind the scenes are also using third parties. So while I might be relying on them to process my customer's payment information, they're relying on 20 vendors behind the scene that I don't even know about. I might have an A, they might have an A. It's really important that we expand beyond that. So coming out of our innovation hub, we've developed a number of key capabilities that allow us to expand the value for the customer. One, you mentioned, outside in is great, but it's limited. We can see what a hacker sees and that's helpful. It gives us pointers where to maybe go ask double click, get comfort, but there's a whole nother world going on behind the firewall inside of an organization. And there might be a lot of good things going on that CISO security teams need to be rewarded for. So we built an inside module and component that allows teams to start plugging in the tools, the capabilities, keys to their cloud environments. And that can show anybody who's looking at the scorecard. It's less like a credit score and more like a social platform where we can go and look at someone's profile and say, Hey, how are things going on the inside? Do they have two-factor off? Are there cloud instances configured correctly? And it's not a point in time. This is a live connection that's being made. This is any point in time, we can validate that. The other component that we created is called an evidence locker. And an evidence locker, it's like a secure vault in my scorecard and it allows me to upload things that you don't really stand for or check for. Collateral, compliance paperwork, SOC 2 reports. Those things that I always begrudgingly email. I don't want to share with people my trade secrets, my security policies, and have it sit on their exchange server. So instead of having to email the same documents out, 300 times a month, I just upload them to my evidence locker. And what's great is now anybody following my scorecard can proactively see all the great things I'm doing. They see the outside view. They see the inside view. They see the compliance view. And now they have the holy grail view of my environment and can have a more intelligent conversation. >> Access to data and access methods are an interesting innovation area around data lineage. Tracing is becoming a big thing. We're seeing that. I was just talking with the Snowflake co-founder the other day here in theCUBE about data access and they're building a proprietary mesh on top of the clouds to figure out, Hey, I don't want to give just some tool access to data because I don't know what's on the other side of those tools. Now they had a robust ecosystem. So I can see this whole vendor risk supply chain challenge around integration as a huge problem space that you guys are attacking. What's your reaction to that? >> Yeah. Integration is tricky because we want to be really particular about who we allow access into our environment or where we're punching holes in the firewall and piping data out out of the environment. And that can quickly become unwieldy just with the control that we have. Now, if we give access to a third party, we then don't have any control over who they're sharing our information with. When I talk to CISOs today about this challenge, a lot of folks are scratching their head, a lot of folks treat this as a pet project. Like how do I control the larger span beyond just the third parties? How do I know that their software partners, their contractors that they're working with building their tools are doing a good job? And even if I know, meaning, John, you might send me a list of all of your vendors. I don't want to be the bad guy. I don't really have the right to go reach out to my vendors' vendors knocking on their door saying, hi, I'm Sam. I'm working with John and he's your customer. And I need to make sure that you're protecting my data. It's an awkward chain of conversation. So we're building some tools that help the security teams hold the entire ecosystem accountable. We actually have a capability called automatic vendor discovery. We can go detect who are the vendors of a company based on the connections that we see, the inbound and outbound connections. And what often ends up happening John is we're bringing to the attention to our customers, awareness about inbound and outbound connections. They had no idea existed. There were the shadow IT and the ghost vendors that were signed without going through an assessment. We detect those connections and then they can go triage and reduce the risk accordingly. >> I think that risk assessment of vendors is key. I was just reading a story about this, about how a percentage, I forget the number. It was pretty large of applications that aren't even being used that are still on in companies. And that becomes a safe haven for bad actors to hang out and penetrate 'cause they get overlooked 'cause no one's using them, but they're still online. And so there's a whole, I called cleaning up the old dead applications that are still connected. >> That happens all the time. Those applications also have applications that are dead and applications that are alive may also have users that are dead as well. So you have that problem at the application level, at the user level. We also see a permutation of what you describe, which is leftover artifacts due to configuration mistakes. So a company just put up a new data center, a satellite office in Singapore and they hired a team to go install all the hardware. Somebody accidentally left an administrative portal exposed to the public internet and nobody knew the internet works, the lights are on, the office is up and running, but there was something that was supposed to be turned off that was left turned on. So sometimes we bring to company's attention and they say, that's not mine. That doesn't belong to me. And we're like, oh, well, we see some reason why. >> It's his fault. >> Yeah and they're like, oh, that was the contractor set up the thing. They forgot to turn off the administrative portal with the default login credentials. So we shut off those doors. >> Yeah. Sam, this is really something that's not talked about a lot in the industry that we've become so reliant on managed services and other people, CISOs, CIOs, and even all departments that have applications, even marketing departments, they become reliant on agencies and other parties to do stuff for them which inherently just increases the risk here of what they have. So there inherently could be as secure as they could be, but yet exposed completely on the other side. >> That's right. We have so many virtual touch points with our partners, our vendors, our managed service providers, suppliers, other third parties, and all the humans that are involved in that mix. It creates just a massive ripple effect. So everybody in a chain can be doing things right. And if there's one bad link, the whole chain breaks. I know it's like the cliche analogy, but it rings true. >> Supply chain trust again. Trust who you trust. Let's see how those all reconcile. So Sam, I have to ask you, okay, you're a former CISO. You've seen many movies in the industry. Co-founded this company. You're in the front lines. You've got some cool things happening. I can almost imagine the vision is a lot more than just providing a rating and score. I'm sure there's more vision around intelligence, automation. You mentioned vault, wallet capabilities, exchanging keys. We heard at re:Inforce automated reasoning, metadata reasoning. You got all kinds of crypto and quantum. I mean, there's a lot going on that you can tap into. What's your vision where you see SecurityScorecard going? >> When we started the company, the rating was the thing that we sold and it was a language that helped technical and non-technical folks alike level the playing field and talk about risk and use it to drive their strategy. Today, the rating just opens the door to that discussion and there's so much additional value. I think in the next one to two years, we're going to see the rating becomes standardized. It's going to be more frequently asked or even required or leveraged by key decision makers. When we're doing business, it's going to be like, Hey, show me your scorecard. So I'm seeing the rating get baked more and more the lexicon of risk. But beyond the rating, the goal is really to make a world a safer place. Help transform and rise the tide. So all ships can lift. In order to do that, we have to help companies, not only identify the risk, but also rectify the risk. So there's tools we build to really understand the full risk. Like we talked about the inside, the outside, the fourth parties, fifth parties, the real ecosystem. Once we identified where are all the Fs and bad things, will then what? So couple things that we're doing. We've launched a pro serve arm to help companies. Now companies don't have to pay to fix the score. Anybody, like I said, can fix the score completely free of charge, but some companies need help. They ask us and they say, Hey, I'm looking for a trusted advisor. A Sherpa, a guide to get me to a better place or they'll say, Hey, I need some pen testing services. So we've augmented a service arm to help accelerate the remediation efforts. We're also partnered with different industries that use the rating as part of a larger picture. The cyber rating isn't the end all be all. When companies are assessing risk, they may be looking at a financial ratings, ESG ratings, KYC AML, cyber security, and they're trying to form a complete risk profile. So we go and we integrate into those decision points. Insurance companies, all the top insurers, re-insurers, brokers are leveraging SecurityScorecard as an ingredient to help underwrite for cyber liability insurance. It's not the only ingredient, but it helps them underwrite and identify the help and price the risk so they can push out a policy faster. First policy is usually the one that's signed. So time to quote is an important metric. We help to accelerate that. We partner with credit rating agencies like Fitch, who are talking to board members, who are asking, Hey, I need a third party, independent verification of what my CISO is saying. So the CISO is presenting the rating, but so are the proxy advisors and the ratings companies to the board. So we're helping to inform the boards and evolve how they're thinking about cyber risk. We're helping with the insurance space. I think that, like you said, we're only scratching the surface. I can see, today we have about 50,000 companies that are engaging a rating and there's no reason why it's not going to be in the millions in just the next couple years here. >> And you got the capability to bring in more telemetry and see the new things, bring that into the index, bring that into the scorecard and then map that to potential any vulnerabilities. >> Bingo. >> But like you said, the old days, when you were dating yourself, you were in a glass room with a door lock and key and you can see who's two folks in there having lunch, talking database. No one's going to get hurt. Now that's gone, right? So now you don't know who's out there and machines. So you got humans that you don't know and you got machines that are turning on and off services, putting containers out there. Who knows what's in those payloads. So a ton of surface area and complexity to weave through. I mean only is going to get done with automation. >> It's the only way. Part of our vision includes not attempting to make a faster questionnaire, but rid ourselves of the process all altogether and get more into the continuous assessment mindset. Now look, as a former CISO myself, I don't want another tool to log into. We already have 50 tools we log into every day. Folks don't need a 51st and that's not the intent. So what we've done is we've created today, an automation suite, I call it, set it and forget it. Like I'm probably dating myself, but like those old infomercials. And look, and you've got what? 50,000 vendors business partners. Then behind there, there's another a hundred thousand that they're using. How are you going to keep track of all those folks? You're not going to log in every day. You're going to set rules and parameters about the things that you care about and you care depending on the nature of the engagement. If we're exchanging sensitive data on the network layer, you might care about exposed database. If we're doing it on the app layer, you're going to look at application security vulnerabilities. So what our customers do is they go create rules that say, Hey, if any of these companies in my tier one critical vendor watch list, if they have any of these parameters, if the score drops, if they drop below a B, if they have these issues, pick these actions and the actions could be, send them a questionnaire. We can send the questionnaire for you. You don't have to send pen and paper, forget about it. You're going to open your email and drag the Excel spreadsheet. Those days are over. We're done with that. We automate that. You don't want to send a questionnaire, send a report. We have integrations, notify Slack, create a Jira ticket, pipe it to ServiceNow. Whatever system of record, system of intelligence, workflow tools companies are using, we write in and allow them to expedite the whole. We're trying to close the window. We want to close the window of the attack. And in order to do that, we have to bring the attention to the people as quickly as possible. That's not going to happen if someone logs in every day. So we've got the platform and then that automation capability on top of it. >> I love the vision. I love the utility of a scorecard, a verification mark, something that could be presented, credential, an image, social proof. To security and an ongoing way to monitor it, observe it, update it, add value. I think this is only going to be the beginning of what I would see as much more of a new way to think about credentialing companies. >> I think we're going to reach a point, John, where and some of our customers are already doing this. They're publishing their scorecard in the public domain, not with the technical details, but an abstracted view. And thought leaders, what they're doing is they're saying, Hey, before you send me anything, look at my scorecard securityscorecard.com/securityrating, and then the name of their company, and it's there. It's in the public domain. If somebody Googles scorecard for certain companies, it's going to show up in the Google Search results. They can mitigate probably 30, 40% of inbound requests by just pointing to that thing. So we want to give more of those tools, turn security from a reactive to a proactive motion. >> Great stuff, Sam. I love it. I'm going to make sure when you hit our site, our company, we've got camouflage sites so we can make sure you get the right ones. I'm sure we got some copyright dates. >> We can navigate the decoys. We can navigate the decoys sites. >> Sam, thanks for coming on. And looking forward to speaking more in depth on showcase that we have upcoming Amazon Startup Showcase where you guys are going to be presenting. But I really appreciate this conversation. Thanks for sharing what you guys are working on. We really appreciate. Thanks for coming on. >> Thank you so much, John. Thank you for having me. >> Okay. This is theCUBE conversation here in Palo Alto, California. Coming in from New York city is the co-founder, chief operating officer of securityscorecard.com. I'm John Furrier. Thanks for watching. (gentle music)
SUMMARY :
to this CUBE conversation. Thanks for having me. and having values what you guys and see that the website of the 12 million that we're rating. then you create relevance, wow, you guys are building and the rest is history. for management and the team. So the status quo for the and it just seems hard to keep up with. I mean the clouds help Sometimes the information is inaccurate. and the third party? the capabilities, keys to the other day here in IT and the ghost vendors I forget the number. and nobody knew the internet works, the administrative portal the risk here of what they have. and all the humans that You're in the front lines. and the ratings companies to the board. and see the new things, I mean only is going to and get more into the I love the vision. It's in the public domain. I'm going to make sure when We can navigate the decoys. And looking forward to speaking Thank you so much, John. city is the co-founder,
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Christopher Voss, Microsoft | Kubecon + Cloudnativecon Europe 2022
>>The cube presents, Coon and cloud native con Europe 22, brought to you by the cloud native computing foundation. >>Welcome to Valencia Spain in co con cloud native con Europe, 2022. I'm Keith Townsend with my cohos on Rico senior. Etti senior it analyst at gig home. Exactly 7,500 people I'm told en Rico. What's the flavor of the show so far, >>It's a fantastic mood. I mean, I found a lot of people wanting to track talk about what they're doing with Kubernetes, sharing their, you know, stories, some word stories that meet tough. And you know, this is where you learn actually, because we had a lot of zoom calls, webinar and stuff, but it is when you talk a video, oh, I did it this way and it didn't work out very well. So, and, and you start a conversation like this that is really different from learning from zoom. When, you know, everybody talks about things that working well, they did it, right. No, it's here that you learn from other experiences. >>So we're talking to amazing people the whole week, talking about those experiences here on the queue, fresh on the queue for the first time, Chris Vos, senior software engineer at Microsoft Xbox, Chris, welcome to the queue. >>Thank you so much for having >>Me. So first off, give us a high level picture of the environment that you're running at Microsoft. >>Yeah. So, you know, we've got 20, well probably close to 30 clusters at this point around the globe, you know, 700 to a thousand pods per cluster, roughly. So about 22,000 pods total. So yeah, it's pretty pretty sizable footprint and yeah. So we've been running on Kubernetes since 2018 and well actually might be 2017, but anyways, so yeah, that, that's kind of our, our footprint. >>Yeah. So all of that, let's talk about the basics, which is security across multiple I'm assuming containers, work, microservices, et cetera. Why did you and the team settle on link or do >>Yeah, so previously we had our own kind of solution for managing TLS certs and things like that. And we found it to be pretty painful pretty quickly. And so we knew, you know, we wanted something that was a little bit more abstracted away from the developers and, and things like that that allowed us to move quickly. And so we began investigating, you know, solutions to that. And a few of our colleagues went to Cuban in San Diego in 2019 cloud native con as well. And basically they just, you know, sped it all up. And actually funny enough, my, my old manager was one of the people who was there and he went to the link D booth and they had a thing going that was like, Hey, get set up with MTLS in five minutes. And he was like, this is something we want to do, why not check this out? And he was able to do it. And so that, that put it on our radar. And so yeah, we investigated several others and Leer D just perfectly fit exactly what we needed. >>So, so in general, we are talking about, you know, security at scale. So how you manage security to scale and also flexibility, right. But you know, what is the you, this there, you told us about the five minutes to start using there, but you know, again, we are talking about word stories. We talk about, you know, all these. So what, what, what kind of challenges you found at the beginning when you start adopting this technology? >>So the biggest ones were around getting up and running with like a new service, especially in the beginning, right. We were, you know, adding a new service almost every day. It felt like. And so, you know, basically it took someone going through a whole bunch of different repos, getting approvals from everyone to get the SEARCHs minted, all that fun stuff, getting them put into the right environments and in the right clusters to make sure that, you know, everybody is talking appropriately. And just the amount of work that, that took alone was just a huge headache and a huge barrier to entry for us to, you know, quickly move up the number of services we have. So, >>So I'm, I'm trying to wrap my head around the scale of the challenge. When I think about certification or certificate management, I have to do it on a small scale and the, the, every now and again, when a certificate expires, it is just a troubleshooting pain. Yes. So as I think about that, it costs, it's not just certificates across 22,000 pods or it's certificates across 22,000 pods in multiple applications. How were you doing that before link D like, what was the, what and what were the pain points? Like? What happens when a certificate either fails or expired up not, not updated? >>So, I mean, to be completely honest, the biggest thing is we're just unable to make the calls, you know, out or, or in, based on yeah. What is failing basically. But, you know, we saw essentially an uptick in failures around a certain service and pretty quickly, I pretty quickly, we got used to the fact that it was like, oh, it's probably a cert expiration issue. And so we tried, you know, a few things in order to make that a little bit more automated and things like that, but we never came to a solution that like didn't require every engineer on the team to know essentially quite a bit about this, just to get into it, which was a huge issue. >>So talk about day two after you've deployed link D how did this alleviate software engineers and what was like the, the benefits of now having this automated way of managing >>Certs? So the biggest thing is like, there is no touch from developers, everyone on our team. Well, I mean, there are a lot of people who are familiar with security and certs and all of that stuff, but no one has to know it. Like it's not a requirement. Like for instance, I knew nothing about it when I joined the team. And even when I was setting up our newer clusters, I knew very little about it. And I was still able to really quickly set up blinker D, which was really nice. And, and it's been, you know, essentially we've been able to just kind of set it and not think about it too much. Obviously, you know, there are parts of it that you have to think about. We monitor it and all that fun stuff, but, but yeah, it's been pretty painless almost day one. It took a lot, a long time to trust it for developers. You know, anytime there was a failure, it's like, oh, could this be link or D you know, but after a while, like now we don't have that immediate assumption because people have built up that trust, but >>Also you have this massive infrastructure, I mean, 30 cluster. So I guess that it's quite different to manage a single cluster and 30. So what are the, you know, consideration that you have to do to install this software on, you know, 30 different cluster manage different, you know, versions probably etcetera, etcetera, et cetera. >>So, I mean, you know, the, the, as far as like, I guess, just to clarify, are you asking specifically with Linky or are you just asking in more in general? Well, >>I mean, you, you can take the, the question in the, in two ways, so, okay. Yeah. Yes. Link in particular, but the 30 cluster also quite interesting. >>Yeah. So, I mean, you know, more generally, you know, how we manage our clusters and things like that. We have, you know, a CLI tool that we use in order to like, change context very quickly and switch and communicate with whatever cluster we're trying to connect to and, you know, are we debugging or getting logs, whatever. And then, you know, with link D it's nice because again, you know, we, we, aren't having to worry about like, oh, how is this cert being inserted in the right node or, or not the right node, but in the right cluster or things like that. Whereas with link D we don't, we don't really have that concern when we spin up our, our clusters, essentially we get the root certificate and, and everything like that packaged up, passed along to link D on installation. And then essentially there's not much we have to do after that. >>So talk to me about your upcoming coming section here at Q con what's the, what's the high level talking points? Like what, what will attendees learn? >>Yeah. So it's, it's a journey. Those are the sorts of talks that I find useful. Having not been, you know, I, I'm not a deep Kubernetes expert from, you know, decades or whatever of experience, but I think >>Nobody is >>Also true. That's another story. That's a, that's, that's a job posting decades of requirements for >>Of course. Yeah. But so, you know, it, it's a journey it's really just like, Hey, what made us decide on a service mesh in the first place? What made us choose link D and then what are the ways in which, you know, we, we use link D so what are those, you know, we use some of the extra plugins and things like that. And then finally, a little bit about more, what we're gonna do in the future. >>Let's talk about not just necessarily the future as in two or three days from now, or two or three years from now. Well, the future after you immediately solve the, the low level problems with link D what were some of the, the surprises, because link D in service me in general has have side benefits. Do you experience any of those side benefits as well? >>Yeah, it's funny, you know, writing the, the blog post, you know, I hadn't really looked at a lot of the data in years on, you know, when we did our investigations and things like that. And we had seen that we like had very low latency and low CPU utilization and things like that. And looking at some of that, I found that we were actually saving time off of requests. And I couldn't really think of why that was, and I was talking with someone else and the biggest, unfortunately, all that data's gone now, like the source data. So I can't go back and verify this, but it, it makes sense, you know, there's the availability zone routing that linker D supports. And so I think that's actually doing it where, you know, essentially if a node is closer to another node, it's essentially, you know, routing to those ones. So when one service is talking to another service and maybe on they're on the same node, you know, it, it short circuits that, and allows us to gain some, some time there. It's not huge, but it adds up after, you know, 10, 20 calls down the line. Right. >>In general. So you are saying that it's smooth operations in, in ATS, very, you know, simplifying your life. >>And again, we didn't have to really do anything for that. It, it, it handled that for it was there. Yeah. Yep. Yeah, exactly. >>So we know one thing when I do it on my laptop, it works fine when I do it with across 22,000 pods, that's a different experience. What were some of the lessons learned coming out of KU con 2018 in San Diego was there? I wish I would've ran to the microphone folks, but what were some of the hard lessons learned scaling link D across the 22,000 nodes? >>So, you know, the, the first one, and this seems pretty obvious, but was just not something I knew about was the high availability mode of link D so obviously makes sense. You would want that in a, you know, a large scale environment. So like, that's one of the big lessons that like, we didn't ride away. No. Like one of the mistakes we made in, in one of our pre-production clusters was not turning that on. And we were kind of surprised. We were like, whoa, like all of these pods are spinning up, but they're having issues like actually getting injected and things like that. And we found, oh, okay. Yeah, you need to actually give it some, some more resources, but it's still very lightweight considering, you know, they have high availability mode, but it's just a few instances still. >>So from, even from a, you know, binary perspective and running link D how much overhead is it? >>That is a great question. So I don't remember off the top of my head, the numbers, but it's very lightweight. We, we evaluated a few different service missions and it was the lightest weight that we encountered at that point. >>And then from a resource perspective, is it a team of link D people? Is it a couple of people, like how >>To be completely honest for a long time, it was one person, Abraham who actually is the person who proposed this talk. He couldn't make it to Valencia, but he essentially did probably 95% of the work to get a into production. And then this was before we even had a team dedicated to our infrastructure. And so we have, now we have a team dedicated, we're all kind of Linky folks, if not Linky experts, we at least can troubleshoot basically. And things like that. So it's, I think a group of six people on our team, and then, you know, various people who've had experience with it >>On other teams, but I'm not dedicated just to that. >>I mean, >>No one is dedicated just to it. No, it's pretty like pretty light touch once it's, once it's up and running, it took a very long time for us to really understand it and, and to, you know, get like, not getting started, but like getting to where we really felt comfortable letting it go in production. But once it was there, like, it is very, very light touch. >>Well, I really appreciate you stopping by Chris. It's been an amazing conversation to hear how Microsoft is using a open source project. Exactly. At scale. It's just a few years ago, when you would've heard the concept of Microsoft and open source together and like, oh, that's just, you know, but >>They have changed a lot in the last few years now, there are huge contributors. And, you know, if you go to Azure, it's full of open source stuff, every >>So, yeah. Wow. The Cuban 2022, how the world has changed in so many ways from Licia Spain, I'm Keith Townsend, along with a Rico senior, you're watching the, the leader in high tech coverage.
SUMMARY :
brought to you by the cloud native computing foundation. What's the flavor of the show so far, And you know, on the queue, fresh on the queue for the first time, Chris Vos, Me. So first off, give us a high level picture of the environment that you're at this point around the globe, you know, 700 to a thousand pods per you and the team settle on link or do And so we began investigating, you know, solutions to that. So, so in general, we are talking about, you know, security at scale. And so, you know, basically it took someone going through a whole How were you doing that before link D like, what was the, what and what were the pain points? we tried, you know, a few things in order to make that a little bit more automated and things like that, You know, anytime there was a failure, it's like, oh, could this be link or D you know, but after a while, you know, consideration that you have to do to install this software on, Link in particular, but the 30 cluster also quite interesting. And then, you know, with link D it's nice Having not been, you know, I, I'm not a deep Kubernetes expert from, Also true. What made us choose link D and then what are the ways in which, you know, we, we use link D so what Well, the future after you immediately solve I hadn't really looked at a lot of the data in years on, you know, when we did our investigations and very, you know, simplifying your life. And again, we didn't have to really do anything for that. So we know one thing when I do it on my laptop, it works fine when I do it with across 22,000 So, you know, the, the first one, and this seems pretty obvious, but was just not something I knew about was So I don't remember our team, and then, you know, various people who've had experience with it you know, get like, not getting started, but like getting to where together and like, oh, that's just, you know, but you know, if you go to Azure, it's full of open source stuff, every how the world has changed in so many ways from Licia Spain,
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William Morgan, Buoyant | Kubecon + Cloudnativecon Europe 2022
>>The cube presents, Coon and cloud native con Europe 22, brought to you by the cloud native computing foundation. >>Welcome to vincia Spain in Coon cloud native con Europe, 2022. I'm Keith towns alongside en Rico senior. Etti senior it analyst for giong welcome back to the show en >>Rico. Thank you again for having me here. >>First impressions of QAN. >>Well, great show. As, as I mentioned before, I think that we are really in this very positive mode of talking with each other and people wanting to see, you know, the projects, people that build the projects at it's amazing. I mean, a lot of interesting conversation in the show floor and in the various sessions, very positive move. >>So this is gonna be a fun one. We have some amazing builders on the show this week, and none other than William Morgan, CEO of buoyant. What's your role in the link D project? >>So I was one of the original creators of link D but at this point I'm just the, the beautiful face of the project. >>Speaking of beautiful face of the project, linker D just graduated from as a CNCF project. >>Yeah, that's right. So last year we, we became the first service mesh to graduate in the CNCF. Very proud of that. And that's thanks, you know, largely to the incredible community around Linky that is just excited about the project and, you know, wants to talk about it and wants to be involved. >>So let's talk about the significance of that link D not the only service mesh project out there. Talk to me about the level effort to get it to the point that it's graduated. That's you don't see too many projects graduating CNCF in general. So let's talk about kind of the work needed to get Nier D to this point. >>Yeah. So, you know, the, the, the bar is high and it's mostly a measure, not necessarily of like the, the project being technically good or bad or anything, but it's really a measure of maturity of the community around it. So is it being adopted by organizations that are really relying on it in a critical way? Is it, you know, being adopted across industries, you know, is it having kind of a significant impact on the cloud native community? And so for us, you know, there was the, the work involved in that was really not any different from the work involved in, in kind of maintaining ity and growing the community in the first place, which is you try and make it really useful. You try and make it really easy to get started with you, try and be supportive and to, you know, have a, a friendly and welcoming community. And if you do those things and, you know, you kind of naturally get yourself to the point where it's a, it's a really strong community full of people who are excited about it. >>So from the of view of, you know, users adopting the, this technology, so we are talking about everybody, or do you see really, you know, large organization, large Kubernetes yeah. Clusters infrastructure adopting it. >>Yeah. So that's the answer to that is changed a little bit over time. But at this point we see Linky adoption across industries, across verticals, and we see it from very small companies to very large ones. So, you know, one of the talks I'm really excited about at this conference is from the folks at Xbox cloud gaming, who talked about, who are gonna talk about how they deployed Linky across, you know, 22,000 pods around the world to serve, you know, basically on demand video games, never a use case I would ever have imagined for Linky. And at the previous Kuan, you know, virtually Kuan EU, we had a whole keynote about how Linky was used to combat COVID 19. So all sorts of uses. And it really doesn't, you know, whether, whether it's a small cluster or large cluster it's equally applicable. >>Wow. So as we talk about link D service match, we obviously are gonna talk about security application control, etcetera. But in this climate Software supply chain is critical, right. And as we think about open source software supply chain, talk to us about the recent security audit of link dealer. >>Yeah. So one of the things that we do as part of a CNCF project, and also as part of, I, I think our relationship with our community is we have regular security audits, you know, where we, we engage security professionals who are very thorough and, you know, dig into all the details. Of course the source code is all out there, you know, so anyone can read through the code, but they'll build threat model analyses and things like that. And then we take their, their report and we publish it. We say, Hey, look, here's, you know, here's the situation. So we have earlier reports online, and this newest one was done by a company called trail of bits. And they built a whole threat model and looked through all the different ways that Linky could go wrong. And they always find issues. Of course, you know, it's, it would be very scary, I think, to get a report that was like, no, we didn't find yeah. Earth clean, you know? Yeah. Everything's fine. You know, should be okay. I don't know. Right. But they, you know, they did not find anything critical. They found some issues that we rapidly addressed and then, you know, everything gets written up in the report and, and then we publish it, you know, as part of an open source artifact >>Are, you let's say, you know, do they give you and add something? So if something happens so that you can act on the code before, you know, somebody else discovers the >>Yeah, yeah. They'll give you a preview of what they found. And then often, you know, it's not like you're going before the judge and the judge makes a judgment and then like off the jail, right. It's, it's a dialogue because they don't necessarily understand the project. Well, they definitely don't understand it as well as you do. So you are helping them, you know, understand which parts and, and your, you know, are, are interesting to look at from the security perspective, which parts are not that interesting. They do their own investigation of course, but it's a dialogue the entire time. So you do have an opportunity to say, oh, you told me that was a, a, a minor issue. I actually think that's larger or, or vice versa. You know, you, you think that's a big problem. Actually, we thought about that, and it's not a big problem because of whatever. So it's a collaborative process. >>So link D been around, like, when I first learned about service me link D was the project that I learned about. Yeah. It's been there for a long time, but just mentioned 22,000 clusters. That's just mind boggling pod, 22,000 pods, the pods. Okay. >>Clusters would be >>Great. Yeah. Yeah. Clusters would be great too, but filled 22 thousands pods, big deployment. That's the big deployment of link D but all the way down to the small, smallest set of pods as well. What are some of the recent project updates from of the learnings you bought back from the community and updated the, the project as a result? >>Yeah. So a big one for us, you know, on the topic of security link, a big driver of link adoption is security and, and less on the supply chain side and more on the traffic, like live traffic security. So things like mutual TLS. So you can encrypt the communication between pods and make sure it's authenticated. One of the recent feature additions is authorization policy. So you can lock down connections between services and you can say service a is only allowed to talk to service B. And I wanna do that. Not based on network identity, you know, and not based on like IP addresses, cuz those are spoof. And you know, we've kind of like as an industry moved, moved, we've gotten a little more advanced from that, but actually based on the workload identity, you know, as captured by the mutual TLS certificate exchange. So we give you the ability now to, to, to restrict the types of communication that are allowed to happen on your cluster. >>So, okay. This is what happened. What about the future? Can you give us, you know, into suggestion of what is going to happen in the medium and long term? >>I think we're done, you know, we graduated, so we're just gonna >>Stop there's >>What else is there to do? There's no grad school, you know? No, no. So for us, there's a clear roadmap ahead, continuing down the, the security realm, for sure. We've given you kind of the very first building block, which at the service level, but coming up in, in the two point 12 release, we'll have route based policy as well, as you can say, this service is only allowed to call these three, you know, routes on this end point and we'll be working later to do things like mesh expansion so we can run the data plane outside of Kubernetes. You know, so the control plane will stay in in Kubernetes, but the data plane will, you'll be able to run that on VMs and, and, and things like that. And then of course in the, you know, we're also starting to look at things like I like to make a fun of WAM a lot, but we are actually starting to look at WAM in, in the ways that that might actually be useful for Linky users. >>So we talk a lot about the flexibility of a project, like link D you can do amazing things with it from a security perspective, but we're talking still to a DevOps type cloud of, of, of developers who are spread thin across their skillset. How do you help balance the need for the flexibility, which usually becomes more nerd knobs and servicing a crowd that wants even higher levels of abstraction and simplicity. >>Yeah. Yeah. That's a great question. And this is, this is what makes Linky so unique in the service mesh spaces. We have a laser focus on simplicity and especially on operational simplicity. So our audience, you know, we can make it easy to install Linky, but what we really care about is when you're running it and you're on call for it and it's sitting in this critical, vulnerable part of your infrastructure, do you feel confident in that? Do you feel like you understand it? Do you feel like you can observe it? Do you feel like you can predict what it's gonna do? And so every aspect of Linky is designed to be as operationally simple as possible. So when we deliver features, you know, that's always our, our primary consideration is, you know, we have to reject the urge. You know, we have an urge as, as engineers to like want to build everything, you know, it's an ultimate platform to solve all problems and we have to really be disciplined and say, we're not gonna do that. >>We're gonna look at solving the minimum possible problem with a minimum set of features because we need to keep things simple. And, and then we need to look at the human aspect to that. And I think that's been a part of, of Link's success. And then on the buoyant side, of course, you know, I don't just work on link day. I also work on, on buoyant, which helps organizations adopt Linky and, and increasingly large organizations that are not service mesh experts don't wanna be service mesh experts that, you know, they wanna spend their time and energy developing their business, right. And, and building the business logic that powers their company. So for them, we have actually re recently introduced, fully managed. Linky where we can take on, even though Linky has to run on your cluster, right? The, the, the, the sidecar proxies has to be alongside your application. We can actually take on the operational burden of, of upgrades and trust, anchor rotation, and installation. And you can effectively treat it as a utility, right. And, and, and have a, a hosted, like, experience, even though the, the actual bits, at least most of them, not all of them, most of 'em have to live on your cluster. >>I love the focus of most CNCF projects, you know, it's, it's peanut butter or jelly, not peanut butter. Yeah. Trying to be become jelly. Right. What's the, what's the, what's the peanut butter to link D's jelly. Like where does link D stop and some of the things that customers should really consider yeah. When looking at service mesh. >>Yeah. No, that's a great way of looking at it. And I, I actually think that that philosophy comes from Kubernetes. I think Kubernetes itself, one of the reasons it was so successful is because it had some clearly delineated, it said, this is what we're gonna do. Right. And this is what we're not gonna do. So we're gonna do layer three, four networking. Right. But we're gonna stop there. We're not gonna do anything with layer seven. And that allowed the service mesh. So I guess if I were to go down the, the bread, the bread of the sandwich has Kubernetes, and then Linky is the, is the peanut butter, I guess, and then the jelly, you know, so I think the jelly is every other aspect of, of building a platform. Right. So if you are the, the audience for Linky, most of the time, it's a platform owners, right. They're building a platform, an internal platform for their developers to write code. And so, as part of that, of course, you've got Kubernetes, you've got Linky, but you've also got a C I CD system. You've also got a, you know, a code repository, if it's GitLab or, or GitHub or wherever you've got, you know, other kind of tools that are enforcing various other constraints. All of that is the jelly, you know, in the, this is, analogy's getting complicated now. And like the, the platform sandwich that, you know, that you're serving. >>So talk to us about trans and service mesh from the, from the, as we think of the macro. >>Yeah. Yeah. So, you know, it's been an interesting space because we were talking a little bit about, you know, about this before the show, but the, there was so much buzz, you know, and then what we, what we saw was basically it took two years for that buzz to become actual adoption, you know, and now a lot of the buzz is off on other exciting things. And the people who remain in the Linky space are, are very focused on, oh, I actually have a, a real problem that I need to solve and I need to solve it now. So that's been great. So in terms of broader trends, you know, I think one thing we've seen for sure is the service mesh space is kind of notorious for complexity, you know, and a lot of what we've been doing on the Linky side has been trying to, to reverse that, that, that idea, you know, because it doesn't actually have to be complex. There's interesting stuff you can do, especially when you get into the way we handle the sidecar model. It's actually really, it's a wonderful model operationally. It's really, it feels weird at first. And then you're like, oh, actually this makes my operations a lot easier. So a lot of the trends that I see at least for Linky is doubling down on the sidecar model, trying to make side cards as small and as thin as possible and try and make them, you know, kind of transparent to the rest of the application. So >>Well, William Morgan, one of the coolest Twitter handles I've seen at WM on Twitter, that's actually a really cool Twitter handle. Thank you, CEO of buoyant. Thank you for joining the cube again. Cube alum from Valencia Spain. I'm Keith towns, along with en Rico, and you're watching the cube, the leader in high tech coverage.
SUMMARY :
brought to you by the cloud native computing foundation. the show en people wanting to see, you know, the projects, people that build the projects at We have some amazing builders on the show the beautiful face of the project. Speaking of beautiful face of the project, linker D just graduated from about the project and, you know, wants to talk about it and wants to be involved. So let's talk about the significance of that link D not the only service mesh project out there. And so for us, you know, there was the, the work involved in that was really not any different from the work involved So from the of view of, you know, users adopting the, this technology, 22,000 pods around the world to serve, you know, basically on demand video games, And as we think about open source software supply chain, talk to us about the recent security audit of Of course the source code is all out there, you know, so anyone can read through the code, And then often, you know, it's not like you're going before pod, 22,000 pods, the pods. What are some of the recent project updates from of the learnings you bought back from but actually based on the workload identity, you know, as captured by the mutual TLS Can you give us, you know, into suggestion of what is going to happen in the medium and you know, we're also starting to look at things like I like to make a fun of WAM a lot, but we are actually starting to look at WAM So we talk a lot about the flexibility of a project, like link D you can do amazing So our audience, you know, we can make it easy to install Linky, but what we really care about is when And then on the buoyant side, of course, you know, I love the focus of most CNCF projects, you know, it's, All of that is the jelly, you know, in the, this is, So in terms of broader trends, you know, Thank you for joining the cube
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2022 007 Charlie Brooks and Michael Williams1
>>Hello, and welcome to the cube special presentation of unstoppable domains partner showcase. I'm John furrier, your host of the cube. We got a great conversation talking about the future of the infrastructure of web three, all around domains, non fungible tokens, and more two great guests. Charlie Brooks, with business development of ensemble domains, and Michael Williams, product leader and advisor with unstoppable doing gentlemen, thanks for coming on the cube partner showcase with unstoppable domains. >>Thanks John. Excited to be here. So >>I love what you guys are doing. Congratulations on all your success. You guys are on the leading edge of what is a major infrastructure shift. Web three is being called, but people who have been doing this for a while, know that you see the blockchain, you see decentralization, you see immutability, all these future smart contracts. All the decentralized applications are now hitting the scene and NFTs are super hot as, as, as you can imagine, you guys are in the middle of it. So you guys are in, in, in the sweet spot of what I call the pragmatic pioneers. You guys are to building solutions that are making a difference like single sign-on. You have the login product, let's get into it. What is the path to I digital identity beyond the web, because we know what web identity is, but now that the web is kind of being abstracted away by this new web three layer, what is digital identity? >>Yeah, I can take that one. So I think what we're really seeing is this transition away from a purely physical identity where your digital life or where your, your online identity is really just a reflection of the, the parts of your physical identity, where you live, where you go to school, all of these things. And we're really seeing this world emerge where your online identity becomes much more of a primary. So if you have a way that you represent yourself in the online world, whether that's an Instagram account or TechTalk or email address or username, all of these things together make up your digital identity. So congrats. If you have any of those things, you already have one. >>Yeah. And we see that all the time with link tree people put their link tree out there and it's got the zillion handles. You're right. We all get up to Instagram and everyone's got like zillion identities. Is that a problem or an opportunity? >>I think it's just a reality. The fact that as our identities are spread across all of these different services and platforms that we use, the problem with something like link tree is that it is owned by link tree. You know, if I won the lottery purchased link tree and decided I wanted to change your personal website, John, I could easily do that. Moving to the kind of architecture that we have. And then if T architecture changes that significantly, it puts a lot of power back in the hands of the people who actually own those identities. >>You know, I do a lot of cube showcases with folks rent on my machine, learning and AI, and the number one conversation that they bring up. The number one issue is data. And they say when data is siloed and, and protected and owned, it is not optimized for machine learning. So I can almost imagine, as you bring NFTs to the digital identity, you mentioned you don't own your identity. If someone else is managing the service like link tree, this is, this is a cultural shift. This is an infrastructure software shift at the same time. Can you guys expand more about what you guys are doing with the NFT and ensemble domains with respect to that digital identity, because is that power shifting to the users now? And how does that compare to what's out there today? >>Sure. I think so. Our domains are NFTs, so they are ERC 7 21 tokens. And if you think about the past kind of web two identities are controlled by the platforms that we use, Twitter, Facebook, whatnot. There's a really a lack of data portability there. Our accounts and data live on their servers. They can be deleted at any time. So using an NFT to anchor your digital identity really gives you full control over your identity. You can't, it can't be deleted. It can't be revoked or edited or changed without your permission. And really, even better than information you store on your entity domain can be plugged into the services you use so that you never have to enter the same data twice. So when you go from platform to platform, everything can be tied to your existing domain. You're not going to a new site, kind of entering their ecosystem and providing all this information time and time again, and not really having a clear understanding of how your data is being used and where it's being stored. >>So the innovation here is the NFT is your identity and, and a non fungible token NFT is different than say a fungible tokens. So for the folks out there, that's trying to follow the bouncing ball. Michael, what's the difference between an NFT and a fungible token. And how does, and why is that important for identity? >>Yeah. My favorite metaphor here is baseball cards versus like dollar bills. So a dollar bill is fungible. If I have a dollar and then you have a dollar, we can trade dollars. And none of us is richer or poorer. If I have a babe Ruth and you have a Hank Aaron, and we swap baseball cards, like we have, we have changed something fundamental. So the, the important thing about NFT is, is that they are non fungible. So if I have a domain and you have a domain, like I have that identity and you have that identity, they are unique. They're independent, they're owned by each one of us. And then we can kind of swap them interchangeably. >>And that's why you're seeing NFTs hot with art and artists, because it's like a property, it's a property issue, not so much absolutely changeable, a divisible kind of asset. >>It is a, it is ownership rights in digital >>Form. Yes. All right. So now let's get into what the, the identity piece. I think I find that interesting because if I have something that's an NFT, it's not fungible. It's unique to me. It's property, my property, my login, this sounds compelling. So how does log-in work with the NFT? Can you guys take us through that, that architecture, what does it do? How does it work? And what's the benefit? >>So the way our login product works is it effectively uses your NFT domain. So Michael dot crypto, for example, as the authentication piece of a, of a login session. So basically when I, when I go and I try to log in with my domain, I type in Michael dot crypto. I sign it with my wallet, which cryptographically proves that I am this human. This is me. I have the rights to log in. And then when I do so I have the ability to share certain parts of my identity information with the applications that I use. And so it really blends the best of the ease of use from web to have just a standard like login with Gmail SSL experience, with all of the security and privacy benefits of web three. >>How important is single sign-on because, I mean, right now people are used to like, seeing things like log with your kid hub handle or LinkedIn, or, you know, Google, apple. I mean, you're seeing people offering login. Okay. What's the difference here from those solutions and why is it make sense for the user? >>Sure. Yeah. The big differences, what we're building is really user first. So if you think about traditional SSOs, you are the product. When you use their product, they're selling your data and, you know, they're tracking everything you do logging in with unstoppable handles, not only authentication, but data sharing as well. So when you log in a domain or owner can choose to share aspects of their online identity, such as first name, preferred language profile, picture location. So this is a user controlled way of using a sign-on, where they are permissioning, these different pieces of their identity. And really apps can use this information to enable new experiences, such as for example, website might automatically enable high contrast mode for someone visually impaired. It could, pre-populate your friends from a decentralized social graph. So what we're doing is taking the best parts of web to SSL and combining them with the best parts of web three. >>So no more losing your password entering in the same data, hundreds of times, you know, depending on other services, keep your information safe. Logging with unstoppable really puts you in complete control of your data. And, you know, a big part of that is you're not going to have 80 plus usernames and passwords anymore. You know, we have these tools like password managers that exist to kind of put a bandaid on this issue, but it's not really a long-term solution. So we're, we're building is really seamless onboarding where everything can be tied to your domain so that you can navigate to different apps in a much more seamless way. >>Michael, I got to get your thoughts on this because on the product side, it's interesting. My mind's kind of connecting some dots if I have, first of all, great convenience to reduce all those logins, right? So, you know, check their little pain, pain reduction. But when you think about what's different, I can now broker my data as well as log in. So let's just say, hypothetically, I'm cruising around some D apps and, you know, doing things and earning reputation or attention or points or whatever, tokens utility tokens. There could be a way for me to control what I own. I'm the product I own the data. Is that kind of where this is going? >>I think it's definitely a direction. It could go say, for example, if I'm a e-commerce platform and I'm trying to figure out where I'm going to place a new billboard, you know, one of the things that I could request from a user is their address. I can figure out where they live, what city they're in that will help inform the, the decision that I need to make as a business. And in return, maybe I give that person a dollar off their purchase, right? Like we can, we can start to build a stronger relationship between the applications that people use and the people that use them and try to optimize that whole experience and try to just transfer information back and forth to make everyone's lives better. >>What's the roadmap on the business side, Charlie, when you see companies kind of adopting it, they're probably taking baby steps or crawling before they walk they're walking before they run. I mean, I can see decentralized applications in the future, whether it's FinTech or whatever, having new kinds of marketplaces that take advantage of the paradigm where the, the script flips to the user first. Okay. So I see that. How do people get started now? What are some of the success momentum points that you're seeing companies do now with unstoppable? >>Sure. So a lot of web three apps are very sensitive about respecting the, the information that their users are providing, right? So what we're doing is I'm offering different ways for apps can touch with their users in a way that is user controlled. So an example there is that a lot of web three companies will use wallet connect to allow users to log in using a wallet address, an issue. There is that one person can have hundreds of wallet addresses, and it's impossible for the app to understand that. So what we do is we use login, we attach an email address, some other pieces to a wallet address so that we can identify who a unique user is. And the app is able to collect that information. They don't have to deal with passwords or PII storage. They have access to a huge amount of new data for an improved UX. >>It's really simple to implement and maintain as well. So one example there is if you are a DFI platform and you want to reward your users for coming to their site for the first time, now that they can identify unique user, they can drop a token into that user's wallet all because they're able to identify that user as unique. So they have a better way of understanding their customers. They enable their customers to share data. A lot of these companies well ask users to follow them on Twitter or discord when they need to provide updates or, you know, bug bounties, all these different things and log in with unstoppable, lets them permission, email addresses so they can collect emails if they want to do a newsletter. And instead of sort of harvesting data from elsewhere and kind of forcing people to join this newsletter program, it's all user controlled. So each user saying, yes, you can use my email for your newsletter. You know, I'm supporting your project, want to be kept up to date with bugs or bounties or rewards programs. So really it's just kind of a, a better way for users to, to share the data that they're willing to with dApps and dabs can use it to create all sorts of incentives and really just kind of understand their users on a, on a different level. >>How has the development Michael going on the, on the smart contract side of the business, you know, theories has always been heralded as being very developer focused. There's been great innovations. Just, you still got, you know, gas fees out there. You still gotta do some things. How is the development environment, how are the applications coming? Cause I can see the really, I can see the flywheel kicking in as a developer, Frank gets more streamlined, more efficient, and now you've got the identity piece nailed down. I just see a lot of kind of dominoes falling at the same time. What's the status on the dev side? >>What's your tour? The fascinating thing about crypto is how quickly it changes. You know, when I, when I joined Ethereum was pretty reasonable still for transactions. It was very cheap to get things done very fast. We've looked at last summer that things went completely out of control. This is a big reason that unstoppable for a long time has been working on a layer two and we've moved over to the Pollyanna, our primary source of record, which is built on top of it. The area of course, I think saved well over a hundred million dollars in Gaspe is for our users that we're constantly keeping an eye on new technologies that are emerging, weighing how we can incorporate those things and really where this industry is going to take us. You know, in many ways we are, are just as much passengers as the other people floating around the ecosystem as well. >>Yeah, it's, it's certainly getting faster every day and seeing a huge uptake on a theorem. I heard a stat that most people at the university of California, Berkeley, 30% of the computer science students are dropping out to join web three companies just goes to show you this cultural shift and you can see a lot more companies getting involved. So I got to ask you Charlie, on the biz dev front, how are companies getting started? What's the playbook? Are they putting their toe in the water? Are they jumping in full throttle? What's, what's the, what's the roadmap. What's the best practice for people to get started with unstoppable? >>Absolutely. You know, we're lucky that we get a lot of inbound interest from companies web two and web three because they first want to secure their domains. And we do a ton of work on the backend to protect trademark domains. We want to avoid squatting as much as possible. You know, we don't think that's the spirit of, of weaponry at all. And certainly not what the original intention of the internet was. So fair amount of companies will reach out to, out to us to get their domain. And then we can have a longer conversation about some of the other integrations and ways we can collaborate. So certainly visiting our website and several domains.com is a great starting point. We have an app submission page where asking, reach out to us, even request a grant. We have a grant prop, a program to help developers get started, provide them some resources to, to work with us and integrate some of our technology. >>We have great documentation as well on the site. So you can read all about what it takes to resolve domains, if you're a water and an exchange, as well as what it takes to integrate login within softball, which is actually a super easy integration as well, which we're, we're really excited about. So yeah, I'd say check out the website apply for our grant. If you think you're a fit there, then of course, people can always reach out to me directly on Twitter, on telegram email. We're very reachable and, and we're always happy to chat with projects and, and learn more about what they're doing. >>What's the coolest thing you've seen going on trial with your partners right now. What's, what's the, what's the number one use case that's cool that people are jumping on right now to get in and get some, some, you know, some success out of the gate. >>Yeah. Maybe, maybe gamefied kind of played, earns huge. It's blowing up. And the gaming community is really passionate, vibrant, just expanding like crazy same with there's all this cool new stuff you can do with defy where no matter, you know, how many, how, how big your kind of portfolio is, you're you're able to stake and use all these interesting tools to kind of grow your book. So it's super exciting to see and talk to all these projects and, you know, there's certainly kind of an energy in the community where everyone wants to onboard the general public to web three, right? So we're all working on these school projects, but we need everyone to come over from web to kind of understand the advantages of defy of game fi of having an empty domain. So I'm lucky that I'm kind of one of the first layers there of, of meeting new projects and kind of helping them get access to more users so that they can grow along with. >>Yeah. I remember the early days of Bitcoin and Ethereum, we were giving it away to give the, the community manager was give a, give a Bitcoin to someone that was when it was, you can actually give a Bitcoin to someone what's the, what's the word of mouth or organic viral. I won't say growth hack because that's got negative connotations, but what's the community's way of putting forth the mission for unstoppable. Is it just more domains you guys have any programs got going on? Is it give it away? I'll see you, you can get domains on your site, but what's the, what's the way to get people in gray shaded in and getting comfortable. >>Yeah. So much of what we do is really just all of that, to all that question, to answer that question, we spent a ton of time and energy just on education and whether that's specifically around domains or just general led three, we have a podcast which is pretty exceptional, which talks to what three leaders from across the space and makes the projects that they're working on more accessible. I think we passed over a hundred episodes, not too long ago. There's a ton of stuff that we do that other people do. If anyone has questions, I'm happy to talk about resources. >>Yeah. The part I think you guys are up to one 17, but that's a deep dive that you guys go deep on the podcast. So that's, you know, where you go in, what else is new on digital identity? Where do you guys see the future going now that you get the baseline identity with the NFT? It makes a lot of sense. Create innovation. Good logic makes sense. Solid. Technically what's next. >>Yeah. I think that's really boils down to the way that the internet has grown. Doesn't really feel like the way that the internet should be like our data shouldn't live in these walled gardens controlled by these large companies. Like ultimately people should be responsible for their own identity it's they should have control over the things that they do online, the data that's shared or the benefit of that data. And so the world that we are working towards is very much that where we are giving people the ability to be paid for sharing their data with companies, we're giving applications, the ability to request information from the people that use those applications to improve their experience. We're really just trying to make connections across the ecosystem, through these products to enable a better experience for everyone. So whether that's the, the use cases that I mentioned already, or maybe viewing reviews on something like Yelp or Amazon that just confirmed that the person that you are looking at is actually a real person, not some bot that's been paid to to the loader review. Like the, the interesting thing about these products is they're so universally applicable, applicable. There are so many different games that we can try to plug them in. So have >>It's a great example. It's double-edged sword. You can have a, a metaverse image and have pre-programmed conversations with, with, you know, liquid audio and the video application, you know, or it's a real person. How do you know the difference? You, these are going to be questions, you know, around, around who solves that problem. Now this is time for bots and is it time not for bots? We all know what happens when you get into the, you know, the game of manipulation, but also it can be helpful. This is where you gotta be smart and identity is critical in this future. Charlie, what's your reaction to the future of digital identity? I mean so much to look at here on the trajectory. >>Yeah. You know, I think a big part of it is data portability, right? If you go to a site like Instagram, you're giving them all this content that's very personal to you and you can't just pack up and leave Instagram. So we want a future where most of these apps are just kind of a front end and you can navigate from one to the other and bring your data with you and not be beholden to the companies that operate centralized servers. So I think data portability is huge and it's going to open up a lot of doors. And, and just going back to that thought on kind of cleaning up web two for a better web three. When I think about the Amazons, the Alps, the Yelps of the world, they're all these bots are all these awful fake reviews. There's a lot of gamification happening that is really just creating a lot of noise. >>And I want to bring kind of transparency back to the internet, where when you see a review, you should know that that's a real human and blockchain technology is enabling us to do that. And certainly enough, two domains are going to play a huge part of that. So I think that having an experience where, you know, and trust the people that you're interacting with is going to be really powerful and just a better experience for everyone. And there's a lot of ramifications with that. You know, politically speaking, we've, we've all seen all the issues with kind of attacking communities and using bots and fake accounts to kind of hit people's pain points is it's kind of sad and, and certainly not something that we want to see continue happening. So whatever we can do to kind of give people their digital identity and help people understand that this is a real person on the other end, I think is huge for, for the future of the internet and really for society as well. >>That's a great call out there. Charlie cleaning up the mess of web 2.0 web two. Well, actually I was, it was 2.0 technically now web three is no nos 0.0 in it, but, but I saw on our listen to the podcast with Matt, this recent one, and he had a great metaphor that went back to when I was growing up in the internet, you got IP addresses, right? And the mess there was, it was, you couldn't find what you want to look and no one could remember what to type in. Cause you can type in IP addresses in the browser back then. And then DNS came out and then keywords that's web. Okay. Now that mess now is fraud. Misinformation, bot manipulation, deep fakes, many other kind of unwanted kind of time to innovate. And every year, every time you had these inflection points, there'd be an abstraction on top of it. So similar thing happening here is that you guys see it too. >>Yeah. I think we're going back to some of the foundational architecture of the internet DNS and really bringing that forward about 30, 40 years in terms of technology. So loading in some work cryptography and some other fancy things to help patch some of those issues from the previous versions of the web. >>Yeah. Awesome. Well guys, thanks so much for coming on and the spirit of our tick talk, you know, I'm only summarize this. Can you guys give us a quick tick tock moment, short comment on, you know, where this is all going, whereas log-in single sign on mean and what should people do to take steps to secure their digital identity? >>Sure. I'll jump in here. So it's time for people to secure their digital identity. That great first step has gone on several domains and getting an entity domain. You know, you can control your data. You can do a lot of cool different things with your domain, including posting your own website that you own forever. And no one can take it away from you. I would certainly recommend the people join. Our discord, telegram community is check out our podcasts. It's really great. Especially if you're new to crypto web three, you know, we do a great job of sort of explaining all the basic concepts and expanding on them. So yeah, I'd say, you know, the time is now, so to get your digital identity and start embracing web three, because it's really exploding right now. And there's just so many incredible advantages, especially for the user, >>Michael, what's your take? >>I mean, I put not, I've said it better myself. >>Like we always say, if you're not on the next wave, your driftwood, and this is a big wave it's happening. It's pretty clear guys. It's it's there, it's happening now. And again, very pragmatic implementations of solving problems. The sign-on the app integration. Congratulations. And we've got our cube domain too, by the way. So we're we're I think we're good. You know, so we've got to put it to you. It's appreciate it, Charlie, Michael, thanks for coming on and sharing the update. Okay. This is the cube with unstoppable domains partner showcase, shout for your hosts. Got a lot of other great interviews. Check them out. We're going to continue our coverage and continue on with this great showcase. Thanks for watching.
SUMMARY :
We got a great conversation talking about the future of the infrastructure So So you guys are in, So if you have a way that you represent yourself Is that a problem or an opportunity? changes that significantly, it puts a lot of power back in the hands of the people who actually own those identities. So I can almost imagine, as you bring NFTs to the digital identity, So when you go from platform to platform, everything can be tied to your existing So the innovation here is the NFT is your identity and, So if I have a domain and you have a domain, like I have that identity and you have that identity, And that's why you're seeing NFTs hot with art and artists, because it's like a property, Can you guys take us through that, that architecture, what does it do? So the way our login product works is it effectively uses your NFT domain. seeing things like log with your kid hub handle or LinkedIn, or, you know, Google, So when you log in a domain or owner you know, depending on other services, keep your information safe. I have, first of all, great convenience to reduce all those logins, right? I'm trying to figure out where I'm going to place a new billboard, you know, one of the things that I could What's the roadmap on the business side, Charlie, when you see companies kind of adopting it, And the app is able to collect that information. So each user saying, yes, you can use my email Cause I can see the really, around the ecosystem as well. So I got to ask you Charlie, on the biz dev front, how are companies getting started? of the internet was. So you can read all about what it takes to resolve domains, What's the coolest thing you've seen going on trial with your partners right now. So it's super exciting to see and talk to all these projects and, you know, there's certainly kind of an energy Is it just more domains you guys have any programs to answer that question, we spent a ton of time and energy just on education and So that's, you know, where you go in, what else is new on digital identity? that just confirmed that the person that you are looking at is actually a real person, We all know what happens when you get into the, you know, the game of manipulation, you can navigate from one to the other and bring your data with you and not be beholden to the And I want to bring kind of transparency back to the internet, where when you see a review, So similar thing happening here is that you guys the previous versions of the web. on, you know, where this is all going, whereas log-in single sign on mean and what So yeah, I'd say, you know, the time is now, This is the cube with unstoppable domains partner showcase, shout for your hosts.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Michael | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Michael Williams | PERSON | 0.99+ |
Charlie | PERSON | 0.99+ |
Matt | PERSON | 0.99+ |
Charlie Brooks | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Frank | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
30% | QUANTITY | 0.99+ |
Yelp | ORGANIZATION | 0.99+ |
apple | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
Amazons | ORGANIZATION | 0.99+ |
NFT | ORGANIZATION | 0.99+ |
twice | QUANTITY | 0.99+ |
hundreds of times | QUANTITY | 0.99+ |
two domains | QUANTITY | 0.99+ |
one person | QUANTITY | 0.99+ |
first time | QUANTITY | 0.99+ |
link tree | ORGANIZATION | 0.98+ |
first | QUANTITY | 0.98+ |
Gmail | TITLE | 0.98+ |
last summer | DATE | 0.98+ |
ORGANIZATION | 0.98+ | |
today | DATE | 0.97+ |
three leaders | QUANTITY | 0.97+ |
80 plus usernames | QUANTITY | 0.97+ |
first step | QUANTITY | 0.97+ |
Ruth | PERSON | 0.97+ |
single | QUANTITY | 0.97+ |
one example | QUANTITY | 0.97+ |
ORGANIZATION | 0.97+ | |
two identities | QUANTITY | 0.97+ |
two great guests | QUANTITY | 0.97+ |
hundreds of wallet addresses | QUANTITY | 0.96+ |
ORGANIZATION | 0.96+ | |
each one | QUANTITY | 0.96+ |
a dollar | QUANTITY | 0.95+ |
Pollyanna | LOCATION | 0.95+ |
over a hundred million dollars | QUANTITY | 0.95+ |
Michael Williams1 | PERSON | 0.94+ |
Michael dot | ORGANIZATION | 0.94+ |
one | QUANTITY | 0.94+ |
zillion handles | QUANTITY | 0.94+ |
Alps | ORGANIZATION | 0.94+ |
ERC 7 21 | OTHER | 0.93+ |
each user | QUANTITY | 0.93+ |
big | EVENT | 0.91+ |
first layers | QUANTITY | 0.9+ |
2022 007 | OTHER | 0.9+ |
over a hundred episodes | QUANTITY | 0.88+ |
Michael dot crypto | ORGANIZATION | 0.87+ |
Ethereum | OTHER | 0.87+ |
university of California | ORGANIZATION | 0.86+ |
three layer | QUANTITY | 0.86+ |
TechTalk | ORGANIZATION | 0.85+ |
Berkeley | LOCATION | 0.85+ |
John furrier | PERSON | 0.83+ |
three companies | QUANTITY | 0.81+ |
Web three | ORGANIZATION | 0.8+ |
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Christian Reilly, VP, Technology Strategy , Citrix | CUBE Conversation, September 2021
>>Hi, welcome to this cube conversation. I'm Lisa Martin and pleased to welcome back. One of our cube alumni, Christian rowdy, the VP of technology strategy at Citrix Christian. Welcome back to the program. >>Thank you, Lisa. And thanks for having me. Great to see you again, and we'll be virtually at this time. >>Great to see you too. It's been a couple of years and quite a few things have changed since we got to sit down at synergy a couple of years together together. Citrix has an exciting new announcement. Let's unpack that. Talk me to me about what you're announcing and what it's going to deliver. >>Sure. You know, as you said, actually, I can't believe it's been a couple of years since we last saw each other. And I think, you know, time's kind of just disappeared within the pandemic. So it actually, as a result of some of those things that we've seen, you know, people get so tired of being stuck in the same place and tired of being on this constant stream of video. And one of the things that we wanted to do was, was actually a vital Citrix launch part, which is kind of our new announcement series that will be delivered via LinkedIn live. But he's really intended to be kind of a short burst approach to providing updates to some of them really important things that we're working on at Citrix. So, uh, hopefully, uh, people would love to say a reason and get some rich information from them. >>And there's going to be a series of three launchpad programs. Now we've seen so much change since the rapid pivot to work from home. Now this worked from anywhere hybrid environment. We've seen the, the massive adoption of cloud and SAS. We've also seen the threat landscape, the attack surface, just expand and expand. Talk to me about why Citrix is doing the launch pad series and then we'll go through each of the three series. >>Yeah, absolutely. So maybe I think just to set a little bit of context, you know, we, we were working on some pretty interesting things, uh, pre pandemic, you know, uh, as a result of the, kind of the, the evolution of Citrix as an organization, but perhaps more importantly, the journey that our customers were on globally, you know, every customer that we had in, in any industry across the world, we're all at various stages of their own digital transformation. And I think what the pandemic has done apart from all the really bad things, actually, if you look at it as a, perhaps one gleaming bit of light in the whole thing was that we've given organizations, whether we realize it or not the opportunity to try this huge remote work experiment. And I think what it has done above anything else has shown that remote work actually works. >>And so as a result of that, what we've seen coming out of the pandemic is that organizations are really going to use that as a springboard. So implement some new strategies, new technologies, and really drive the next generation of that business. So with one eye on that, I think if you were to categorize the three big things that we're looking at from a Citrix perspective, it's really about how to help, we'll continue to help our customers with that accelerated it modernization to really help them understand what it takes to have secure, flexible work in this new post pandemic world. And then also to think about productivity, what does productivity mean in a world of ever more distributed teams? And so the events that we're talking about and specifically the cloud one, we'll focus on some of the new offerings from Citrix, some of the new technologies and talk about the trends that we've seen within our customers. >>So, you know, one of the big things that Citrix has always been very proud of is our market leading position in virtual application and virtual desktop delivery. And even that itself has now begun to emerge into what we call desktop as a service. And there's a ton of new innovations that we've been working on in that space as well. But also if you think about what's happening in cloud, as you talked about, you know, the evolution of applications being from traditional on premises, wills to SAS applications, what we're also seeing is things like the network services that use to support those applications when they looked slightly different, which from a deployment perspective, and now all moving to cloud services, the security that you alluded to in terms of how complicated that is, but how important it is for it, organizations, those services also moving to cloud as the applications begin to look very differently in the future. So extremely excited about the cloud launch. Patino, we're going to talk a lot about those things that we're doing both in the public cloud, in the hybrid cloud. And I think it will resonate well with customers around the world. >>I think it will as well. And you mentioned there are glimmers of hope that we've seen in the last 18 months. And one of the things that this has proved is that work from home can be productive, can be successful. Employees need to be empowered to be able to do that. Let's go ahead and talk through the first, um, program accelerating it monetization. This is Tuesday, September 28th. Let's talk about some of the, of the Citrix innovations that you're going to be announcing. >>Yeah, so I mean, as I mentioned know, we, we, we think about sort of ecstatic. I see modernization in various parts. You know, we tend to start with the classic infrastructure and we've seen over the years that lots of infrastructure, you know, he's leaving the building. And by that we mean the traditional realms of on-premise data centers or co-location facilities, this constant evolution and migration of those services, uh, to, to infrastructure as a service providers from the huge cloud companies that are out there. And we can continue to see that as a, as a huge trend. Of course. Um, one of the things that off the back of that of course is our move from the traditional world of virtual desktops, which was a very on-premise concept into desktop as a service. So really the key around desktop as a service, it's a simplification, some cost optimization and the things that it are looking at in terms of how they can really bring things to the party for their organizations going forward. >>And of course, as we move into that world of everything being delivered as a service know, things like network services, security services, they almost follow. So some of the things that you'll hear about that is really around our application, delivering security and also our move from VDI to DAS. And, you know, you'll hear a lot about what we're doing with the world's leading cloud providers to really add more Citrix value or build on what we've already done with them, but lots, lots more, uh, and really support the, the, the notion of the, every customer is on a journey to cloud one way or the other. And of course, districts will be ready to help at any stage of that journey. >>Every customer is on the journey to cloud. And we've seen that accelerate so much in the last 18 months. Talk to me a little bit about if we, if we think of desktop as a service, as an evolution of VDI, is that what you're saying? >>Yeah. You know, you think about sort of the traditional VDI scenario was that your virtual desktops, where we were using instead of physical desktops, you know, in inside the usual office location, but during the pandemic, you know, we saw so many customers rely on moving to VDI, to cloud, for reasons of scalability and reasons of security, but then also needing to still in many cases, provide access to those sort of traditional physical PCs. And of course, Citrix has had solutions for that for fundamentally many, many years. Um, but what we're also seeing is that organizations are striving for simplicity. You know, the kind of the value of the desktop is being able to deliver it on demand to the end user securely from wherever they are in the world on whatever device they're on. And as we see this sort of establishment of these new working norms, and I'm not a great fan of the phrase, the new normal, I think we have a new now and that now will evolve. You know, they almost daily as we come through the other side of the pandemic. So the real key drivers for us there obviously flexibility, reliability, security, and also cost optimization, which of course is the bread and butter of most conversations we have with CIO and CTO is around the world. >>That's critical. And I'm going to borrow that, um, the new, now, if you don't mind, I'll cite you credit. But I like that. I agree that I hope this is not the new normal, but one of the things that we've seen in the new now on the security front is we've seen this massive increase in ransomware. Everybody went to work from home almost overnight. Suddenly you have millions of devices, IOT devices connecting to corporate networks. Security became the acceleration of security, became a huge challenge for customers in any organization globally. Let's talk about now the second announcement. This is going to be Tuesday, October 5th, empowering a secure distributed workforce. >>Yeah. And I, and I think you you've hit the nail on the head there. I think the one thing that was perhaps completely staggering to everybody was the speed in which organizations were forced to lock their employees out of the physical office locations and by force. I mean, for all the right reasons that are around the health and wellbeing. I mean, if I think back to my earlier career, you know, before I joined Citrix, I was in a large organization and we would, you know, perform these fire drills every so often where we would go through our disaster recovery business continuity plans and really play scenarios out. Like the office in London was unavailable or the office in LA was unavailable, but never once do I remember is doing every office. And every location is offline from tomorrow. And there's no negotiability. If you have a device at home, please use it. >>You know, we can't provide laptops quick enough, especially with the global chip shortage now as well. So whatever device you have, we'll do our best to, to make that secure. And I think there was, uh, an expectation that the employees would sort of play nicely in that scenario. But of course, you know, if you have your home device, you probably don't update it as much as a work device. So it really does require a new set of thinking. And of course, Citrix has been at the forefront of the zero trust evolution. Now the technologies that we have in place do permit remote work and have them for many years. But I think what we're seeing now is a slightly different type of remote work, you know, with different types of, of applications and devices, as you said, different locations, you know, needing to knit all of that together in a sort of a more contextual way so that we can understand, you know, combinations of the end user, their location, the types of applications that they're using the state of their devices, and sort of bring it all that together to really understand, you know, just exactly how much security needs to be applied. >>I think the traditional challenges are still there, you know, too much security and end users will find a way around it because it's not a good user experience. And, you know, perhaps too much user experience without the security leaves, big holes and big problems for organizations. So, yeah, I think this balancing act is really key. And of course, uh, as we go through the launch funnel security, we'll talk about some of the great innovations and solutions that are coming from central. >>You're right with the fact that, uh, you know, this rapid pivot security, the changes, the things that people are saying, the workforce needs to be empowered. You know, we saw this sudden dependence on all these SAS applications to communicate and to collaborate. We also saw with that rapid PennDOT to work from home ransomware, I was doing some research recently, Christian, and that's it, it's up almost 11 X just in the first half of 2021 DDoSs is massively up. People are, are working from home in environments that are just suddenly a bit chaotic. And it's challenging from a security perspective when you have so many distractions to be able to make sure that you're following all the right steps as an employee, um, that you're not clicking on nefarious links and that you're really doing your own due diligence. So having that zero trust and help from folks like Citrix is really key to this new. Now, as you say, >>It is, you know, the unfortunate thing is that wildlife, uh, no end user, or certainly I would hope that no one user would willingly cause a problem from a security perspective. I think just by the very nature of the way that end users thing, can they interact with links in emails or the, uh, you know, interact with attachments in emails? Unfortunately, relying on the human is always going to be the weakest link in the chain. And I think that's why we have to have new approaches to how we address the use of behavior. You know, can we actually, uh, you know, guide people in different ways. There are plenty of technologies that are out there now. And then many, many from Citrix that actually allow us to what we've lovingly said is, is to save the users from themselves. You know, we can't simply rely on every user to be diligent for every single email or every single link that they see. So, you know, being able to actually understand, you know, where the threats are as it relates to the end user and the likely interaction they have, and then being able to combat those threats in the technology at a seamless way is really part of the excited evolution of, of what we're doing with Citrix. And again, lots of great things to come as we go through the security. >>And the third announcement is around worker boosting worker productivity. That's been a challenge that we've all faced in the last 18 months of having, like I said, a minute ago, you know, people that have suddenly kids learning from home spouses, working people competing for bandwidth. Talk to me about some of the things that Citrix is doing to help those workers be more engaged, be plugged in and really be able to get their jobs done from anywhere. >>Yeah, well, you know, I mean, I can give you the benefit of my experience, you know, being, uh, in a, in a home office for, for, for almost 20 months has been completely the antithesis of the opposite of the rest of my career. You know, I've, I've always been very mobile, um, you know, kind of picking up different devices and using them for different things, just purely from a, you know, the perspective of what's most convenient to me. And I think, you know, if you take that and extrapolate it to, to every employee and every organization around the world who has had to invite work into their home, you know, and another soundbite that I use quite often now is that, you know, for the last 20 months, we really haven't been working from home. We've been living at work, you know, and, and, and it's, it's a fact, you know, we've probably done more hours than ever before. >>We've run the risk of burnout more than ever before. And, you know, prior to the pandemic, I know, talked to you and I talked about this very thing, uh, at synergy, you know, w we talked about the notion of needing to focus on employee experience and employee productivity. You know, we saw plenty of examples in customers with huge initiatives around employee experience and employee productivity. You know, CIO is partnering with HR leads and really trying to figure out a map, the employee journey, you know, what is it that they do every day? You know, how can we make their life easier? And perhaps interestingly, how can we reduce some of the mundane overhead, you know, approvals or requests or things that we see in our everyday life, but actually give the employees more time to be valuable and, and do great cognitive work, which is of course, what, what humans do best. >>And so, you know, you remember, we talked about the micro apps back then. We, we we'd completed the acquisition of Sappho, uh, as you and I talked last time when we unveiled micro apps and micro workflows, as a way to really help end users interact within Citrix workspace. So the systems that they use every day, but provide a new way to do that. And just earlier this year, we completed the acquisition and integration of Reich, which was a fantastic addition to the Citrix portfolio. And so we've really begun to think about, you know, how can we actually help employees to do their best work? You know, w w what are the new capabilities that we need within Citrix workspace? What are the new capabilities that we need in Reich? How do we bring all that together with some of the other solutions that we have Citrix Podio is a really interesting suite of productivity applications that we have really aimed at that number one problem, which is how can I get people to be productive, to stay engaged, to lower the burnout and help them do their best work. And I'm really, really excited because there's some fantastic things. So we announced that the work version of the launch pod, which is on October 12th, >>All of those are so critical. You know, I I've always said employee productivity employee is directly related to the customer experience. I've used Wrike myself before, um, for different projects and being able to have productivity tools that allow the employee to engage, to be able to empower them to move projects forward, especially in a time that is still somewhat chaotic is, is critical as is to your point, ensuring that there are the proper tools to facilitate folks so that they get what they need when they need it to help reduce burnout. That's been a big challenge. You're right. That the living at work thing is real, it's persisting, and we're going to be in this hybrid environment for some TBD amount of time longer. So having the ability to be empowered and productive in a secure way, leveraging cloud capabilities is really key. And it's exciting to hear what Citrix launchpad is going to announce over those three days and deliver. >>Yeah. You know, I, I would just say, you know, in, in, in sort of summary where we're, we're really excited about the three areas now, and they really do sort of all come together in some of those challenges that we talked about, you know, specifically around how we can help organizations to address that accelerated it modernization to drive secure, flexible work in the new now, and also to really reach that goal of having extremely productive, distributed teams as we come out the other side of the pandemic. So, you know, lots going on a fantastic time to, to be here and to talk to you and to be at Citrix, of course, with so many, you know, huge customer issues that we, that we have to solve. And we're really excited for the challenge. >>Excellent. And we all are looking forward to that, the Citrix launchpad series, Christian, where can folks go to register for these different programs? >>Yeah, sure. So it's pretty simple. So if we just go to HTTP bit dot Lee, bit dot L Y forward slash Citrix launchpad, and we can sign up through that. >>Excellent. I've already signed up. I'm looking forward to these series, this series, to learn more about what you guys are doing and kind of dig in double click on some of the things that you spoke about Christian. Thank you for joining me today, talking about the launch pad series and letting folks know where they can go to register. >>Thank you. Great to be on the great to see you again. >>Likewise, for Christian Riley, I'm Lisa Martin, you're watching a cube conversation.
SUMMARY :
One of our cube alumni, Christian rowdy, the VP of technology strategy at Citrix Christian. Great to see you again, and we'll be virtually at this time. Great to see you too. And one of the things that we wanted to do was, the rapid pivot to work from home. So maybe I think just to set a little bit of context, you know, we, we were working on some pretty And then also to and now all moving to cloud services, the security that you alluded to in terms of how complicated And one of the things that this has proved is that work from home can be productive, you know, he's leaving the building. the notion of the, every customer is on a journey to cloud one way or the other. Every customer is on the journey to cloud. but during the pandemic, you know, we saw so many customers rely on moving And I'm going to borrow that, um, the new, now, if you don't mind, I mean, if I think back to my earlier career, you know, before I joined Citrix, But I think what we're seeing now is a slightly different type of remote work, you know, I think the traditional challenges are still there, you know, too much security and end users will find You're right with the fact that, uh, you know, this rapid pivot security, And again, lots of great things to come as we go through the security. like I said, a minute ago, you know, people that have suddenly kids learning from home spouses, And I think, you know, if you take that and extrapolate it And perhaps interestingly, how can we reduce some of the mundane overhead, you know, And so we've really begun to think about, you know, how can we actually help employees to do And it's exciting to hear what Citrix launchpad is going to announce over those three now, and they really do sort of all come together in some of those challenges that we talked about, you know, And we all are looking forward to that, the Citrix launchpad series, Christian, where can folks go to So if we just go to HTTP bit dot Lee, bit dot L Y to learn more about what you guys are doing and kind of dig in double click on some of the things that you spoke about Christian. Great to be on the great to see you again.
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James Wynia, Dell Technologies | CUBE Conversation, July 2021
(smooth music) >> Hi, welcome to this CUBE Conversation. I'm Lisa Martin. We've got James Wynia here with me, the Director of Product Management at Dell. We're going to be talking about modern data center networks. Jim, welcome to the program. >> Thank you, Lisa. Great to be here. >> So let's talk about this. We've had so many dynamics going on in the last 15, 16 months, I've lost count. A lot of dynamics in play that are contributing to IT complexity. There's new sources of data. We had this massive shift to work from home, work from anywhere, that's now kind of this hybrid environment. Talk to me about some of the core requirements of a modern network infrastructure that organizations need to deploy. >> Absolutely, and thanks for teeing that up. The modern networking requirements these days, so many people have moved home, and so as a result, then the infrastructure back on the farm, back in the data center have to be beefier. You have to have more capacity. You have to be able to handle more scaling operations. And so things like the ability to radically increase your backbone just by swapping in some different transceivers, possibly some different switches to support those faster transceivers, allow for us to multiply that bandwidth very quickly. So that's been a big result of what we have seen coming out of all this, the COVID madness. >> Yeah. (chuckles) Madness is a great description for it, and there's going to be that hybrid as we go forward. There's going to be that need to, for any industry, I imagine, to enable work from anywhere. But talk to me about where customers are from a speed perspective. 100 Gig, that's really mature at this point. Is that where most businesses are? And then what's the next step from there? >> Another great question. (chuckles) I mean, 100 Gig is pretty much the de facto standard at this point. It has really become very cost-competitive and very stable. I mean, we've really been shipping QSFP28 at the latest 100 Gig for five years, and it has become the de facto standard for many, many different scenarios. As we move forward, though of course, we just need to move more data is what it comes down to, and so the next logical jump from 100 is 400. And so 400 started rolling out about the time that COVID came on, a couple months before that. And so honestly, there was a slight kind of delay in the industry as COVID kind of made everybody take a step back and say, "Whoa, hold on." But now it's really come back in full force. >> So what does an organization, and we'll kind of just leave this as any industry, need to do to be able to prepare to go from 100 to 400, because as you mentioned, the data sources aren't diminishing. It's only going to continue to increase. >> Absolutely. And so one of the things is to make sure that the backbone infrastructure can handle 400 Gig. Ironically enough, the actual optical cable trunks, those are pretty much the same. And so if you were running single-mode fiber to go a long distance, you would use that same cable. So you don't have to rip out all your cable infrastructure. What you have to look at closely is when you plug that transceiver into a switch, what is it capable of running at? In olden days, that was probably 100 Gig. Now you have a 400 Gig, so you have to make sure that you have just the right hardware to go with that. And then as you go down the chain, down the stack, rather, from those, the switch from the cord, or the switch all the way to your server, on the servers we see a lot of interest in 100 Gig, even up to 200 Gig today. And so it's the same discussion. You're taking a close look at your NIC or your adapter. What is it rated at? Is it going to be able to handle a faster speed? >> So it's not a rip and replace. Can you give us an idea of the migration path that a customer would take, and how Dell would facilitate that? >> Absolutely. And so we have some great customers who have really stepped out in different ways. You have the Greenfield customers who, they're building out a whole additional data center, say. And so they would just, from the ground up, replace it with the latest and greatest equipment that's just already ready to go. Other customers that are just extending, maybe they're tapping a couple data centers together and replacing those 100 Gig links to aggregate them with 400 Gig links. And then they would maybe migrate, adding in an additional 400 Gig links down through the stack as it makes sense. So ethernet is ethernet, right? Whether you have 100 Gig on one link, 400 Gig on another link, it all plugs and plays nicely. And so you don't have to have this big step where you have to forklift everything out and then move all new equipment in. It's as it makes sense. >> As organizations have pivoted multiple times in the last 15, 16 months, as we've all seen, and there will continue to be that I mentioned, there's this sort of work from anywhere hybrid model, what are some of the benefits that a business could expect going from 100 Gig to 400 besides just quadrupling the speed? Talk to me about some of the business impact that can be made here. >> So business impact as is can be tremendous. Certainly, the capacity is the biggest one that jumps out at us here, as we can just combine, add on more services. Another area where we see this impact, and which, again, boils down to capacity, is IoT and edge. We have these new edge devices coming left and right. I mean, every time you turn around in the consumer world, there's some new thing that we never thought was possible, or we thought was 20 years down the road, and well, there it is. All of those cute little gadgets are just creating these streams of data, okay? So you just have so much more data that has to be processed. And so some of that gets processed at the edge, and that's kind of a cool new thing, but you still have more data that has to come back to the home base, either for storage, or for analytics, or for number-crunching, and so you have to be able to manage that. Bigger, fatter pipes going long distances, going short distances, going just in the same rank. >> Have you noticed, Jim, in the last year or so any industries in particular that are really prime candidates for this upgrade? As you mentioned, IoT, the explosion at the edge, sensors, sensors everywhere. Any industries that you saw that really are benefiting from doing this migration? >> Well, certainly the hyperscalers. The big companies that we all use social networking on. They're just moving around just piles of data, and everyone's working from home, and so they just have a little extra time to do the clicking and searching and stuff. And so that, and as well as entertainment. From home, people are just... They're just using up more bandwidth, and so the tier one, tier two providers certainly... We've seen just tremendous interest and growth as they have stepped out and adopted. >> Jim, can we do a double-click now on some deployment options and capabilities, maybe helping us understand it by industry segment? >> Yes, absolutely. And so some of the segments that we've been working closely with over the last 18 months here is like cloud service providers. Also large enterprise companies who have the large data centers. And then thirdly, federal is moving along very quickly. Federal's got all the security stuff that's been in the news of late. They have more calculation and just data transfer needs than ever, and so those are a couple of good ones. >> Got it, yeah. Ransomware is now, unfortunately, one of those common household words, as is pandemic and Pfizer, right? Talk to me about where automation comes into play as organizations look to migrate to become faster, to be able to manage more data coming in faster from more sources, where does automation factor in the mix? >> One of my favorite questions, actually, because in the networking industry, it has changed so much in the last five years. It used to be that when you were talking about large data centers, and just massive amounts of data, that the entire discussion revolved around these large modular chassis. And the reality is that nowadays, yeah, large modular chassis still exist, and they have a place, but they're not mandatory in all circumstances. And one of the big changes is that you can get building blocks that push out tremendous amounts of data within a single box. And you can use like a claw structure that allows you to do more data safer because you have higher availability than these really expensive modular chassis. And so when you come with kind of more switches, the reality is that now you have a bigger automation requirement. And so the tools to be able to automatically set that up, automatically maintain, and automatically monitor it, those are critical. And especially when we're talking about high capacity environments where you have millions of people watching the video being on the screen right now. It better be there no matter what blip happens on the backend. >> Yep. There's always that demanding consumer, (chuckles) no matter what you do. What about automating day one and day two operations? How does it play into managing this infrastructure, this modern data network infrastructure, with on-prem and in the cloud? >> Yes. So I work for Dell, and I forgot to mention upfront, I apologize, I'm a Dell employee, but I'm actually speaking from my opinion. I'm not representing Dell in terms of their viewpoint of all of these things we're talking about today. But one of the big things is that, as we have gone from those modular chassis to more individual units to get this cleaner deployment, the day one has to do with how do you design that. How do you, when you have more fiber cables connecting things up, how do you make sure that you don't oops, plug one into the wrong place? And so tools such as in Dell, we have tools like the Fabric Design Center that automatically generate all of those wiring diagrams for you, all of the testing. When you plug it in for the first time, it actually verifies that everything's clean. And then day two is monitoring what's happening. Are you getting issues, subtle issues that are maybe not noticed but are building up? And so things like the Smart Fabric Director can allow us to monitor those types of things and make recommendations for, "Hey, there's something happening we need to be aware of and watch it," or "Here's some corrective action." And so those kinds of tools really are the lifeblood to make sure that the team doesn't just get overwhelmed. And the reality is we all know as time goes on, we need, or we're given the opportunity to have fewer people working on maintaining stuff. And so you need more equipment that's more complex, but you have less number of eyes on what's going on, and so the tools just have to be locked in. >> So tools you mentioned. What about operating systems? Anything that you would recommend that customers looking into? >> That's another great question. So operating systems have changed. If you look back on the server world, you go back 20, 25 years ago, every server company, they made their own CPU, they made their own operating system, and then it evolved so that there was, now you buy a CPU from either maybe Intel, maybe AMD. But it's not like Dell goes out and makes its own CPU. We buy from other established leaders. When it comes to operating systems on the server side, the same thing happened. Well, the networking world has been catching up for quite a while, and so four years ago, we started talking about open networking, and the fact that there are options. You're not locked into just what is our primary operating system. And so there are opensource operating systems that you can run. There are things like SONiC, which has just really been taking the networking world by storm. And so we certainly support Dell Enterprise SONiC on our platforms. And that is another fantastic option. >> Excellent. Last question, Jim, for you. If you had a crystal ball, given the dynamics of the world today and how quickly things are changing, and how organizations need to be competitive, what are some of the things that you think we're going to see in the networking world in the next 12 to 18 months? >> Well, it doesn't take a whole lot of a crystal ball. We just follow the standards, bodies. We see that 400 Gig has really come on strong. And honestly, we played catch up in that industry, having all of the optics that we needed. We needed all the breakout optics to go from 400 to four by 100. Those took a good, well, six to eight months before those really came on board. And so now we're finally at the place where we're in a good place, but the next thing clearly is everything doubles. And so now we'll jump to 800 Gig over the same infrastructure, and so that's, again, everything doubles. And then there's a lot of talk about, "Well, what happens after that?" Well, then you go everything from 800 to 1.6T over that same infrastructure, and so it's just kind of mind-boggling capacity, but it's coming at us like a freight train. >> It is like a freight train. We'll say a good freight train. Jim, thank you so much for joining me on theCUBE today, talking to me about modern data center networks, what's going on there, the opportunities for businesses in any industry to take advantage of the latest and greatest. We appreciate your time. >> You bet. Thank you for inviting me. >> For Jim Wynia, I'm Lisa Martin. You're watching this CUBE Conversation. (smooth music)
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Omer Asad & Sandeep Singh, HPE | HPE Discover 2021
>>Welcome back to HPD discovered 2021. The virtual edition. My name is Dave a lot and you're watching the cube. We're here with Omar assad is the vice president, GM of H P S H C I and primary storage and data management business. And Sandeep Singh was the vice president of marketing for HP storage division. Welcome gents. Great to see you. >>Great to be here. Dave, >>it's a pleasure to be here today. >>Hey, so uh, last month you guys, you made a big announcement and and now you're, you know, shining the spotlight on that here at discover Cindy. Maybe you can give us a quick recap, what do we need to know? >>Yeah, Dave. We announced that we're expanding HB Green Lake by transforming HB storage to a cloud native software defined data services business. We unveiled a new vision for data that accelerates data dream of transformation for our customers. Uh and it introduced a and we introduced the data services platform that consists of two game changing innovations are first announcement was data services cloud console. It's a SAS based console that delivers the cut operational agility and it's designed to unify data operations through a suite of cloud data services. Our second announcement is H P E electra. It's cloud native data infrastructure to power your data edge to cloud. And it's managed natively with data services cloud console to bring that cloud operational model to our customers wherever their data lives. Together with the data services >>platform. >>Hp Green Green Lake brings that cloud experience to our customers data across edge and on premises environment and lays the foundation for our customers to shift from managing storage to managing data. >>Well, I think it lays the foundation for the next decade. You know, when we entered this past decade, we we we we keep we use terms like software led that that sort of morphed into. So the software defined data center containers with kubernetes, let's zoom out for a minute. If we can homer, maybe you could describe the problems that you're trying to address with this announcement. >>Thanks dave. It's always a pleasure talking to you on these topics. So in my role as general manager for primary storage, I speak with the hundreds of customers across the board and I consistently hear that data is at the heart of what our customers are doing and they're looking for a data driven transformative approach to their business. But as they engage on these things, there are two challenges that they consistently faced. The first one is that managing storage at scale Is rife with complexity. So while storage has gotten faster in the last 20 years, managing a single array or maybe two or three arrays has gotten simpler over time. But managing storage at scale when you deploy fleet, so storage as customers continue to gather, store and life cycle of that data. This process is extremely frustrating for customers. Still I. T. Administrators are firefighting, they're unable to innovate for their business because now data spans all the way from edge to corridor cloud. And then with the advent of public cloud there's another dimension of multi cloud that has been added to their data sprawl. And then secondly what what we what we consistently hear is that idea administrators need to shift from managing storage to managing data. What this basically means is that I. T. Has a desire to mobilize, protect and provision data seamlessly across its lifecycle and across the locations that it is stored at. This ensures that I. D. Leaders uh and also people within the organization understand the context of the data that they store and they operate upon. Yet data management is an extremely big challenge and it is a web of fragmented data silos across processes across infrastructure all the way from test and dev to administration uh to production uh to back up to lifecycle data advantage. Uh And so up till now data management was tied up with storage management and this needs to change for our customers especially with the diversity of the application workloads as they're growing and as customers are expanding their footprint across a multi cloud environment, >>just had to almost um response there. We recently conducted a survey that was actually done by E. S. She. Um and that was a survey of IT. decision makers. And it's interesting what it showcased, 93% of the respondents indicated that storage and data management complexity is impeding their digital transformation. 95% of the respondents indicated that solving storage and data management complexity is a top 10 business initiative for them And 94% want to bring the cloud experience on premises. >>You know, I'll chime in. I think as you guys move to the sort of software world and container world affinity to developers homer. You talked about, you know, things like data protection and we talk about security being bolted on all the time. Now. It's designed in it's it's done at sort of the point of creation, not as an afterthought and that's a big change that we see coming. Uh Let's talk about, you know what also needs to change as customers make the move from this idea of managing storage to to managing data or maybe you can take that one. >>That's a that's a very interesting problem. Right. What are the things that have to be true in order for us to move into this new data management model? So, dave one of the things that the public cloud got right is the cloud operational model which sets the standard for agility and a fast pace for our customers in a classic I. T. On prime model. If you ever wanted to stand up an application or if you were thinking about standing up a particular workload, uh you're going to file a series of I. T. Tickets uh And then you are at the mercy of whatever complex processes exist within organization and and depending on what the level of approvals are within a particular organization, standing up a workload can take days, weeks or even months in certain cases. So what cloud did was a rock that level of simplicity for someone that wanted to instead she ate an app. This means that the provision of underlying infrastructure that makes that workload possible needs to be reduced to minutes from days and weeks. But so what we are intending to do over here is to bring the best of both worlds together so that the cloud experience can be experienced everywhere with ease and simplicity and the customers don't need to change their operating model. So it's blending the two together. And that's what we are trying to usher in into this new era where we start to differentiate between data management and storage management as two independent. Yes, >>Great. Thank you for that. Omer. So deep. I wonder if you could share with the audience, you know, the vision that you guys unveiled, What does it look like? How are you making it actually substantive and and real? >>Yeah. David, That's also great question. Um across the board it's time to reimagine data management. Everything that homer shared. Those challenges are leading to customers needing to break down the silos and complexity that plagues these distributed data environments. And our vision is to deliver a new data experience that helps customers unleash the power of data. We call this vision unified data obs Unified Data Ops integrates data centric policies to streamline data management cloud native control to bring the cloud operational model to where customers data labs and a I driven insights to make the infrastructure invisible. It delivers a new data experience to simplify and bring that agility of cloud to data infrastructure. Streamline data management and help customers innovate faster than ever before. We're making the promise of unified Data Ops Real by transforming H P E storage to a cloud native software defined data services business and introducing a data services platform that expands Hve Green Lake. >>I mean, you know, you talk about the complexity, I see, I look at it as you kind of almost embracing the complexity saying, look, it's gonna keep getting more complex as the cloud expands to the edge on prem Cross cloud, it gets more complex underneath. What you're doing is you're almost embracing that complexity, putting a layer over it and hiding that complexity from from the end customer that and so they can spend their time doing other things over. I wonder if you can maybe talk a little bit more about the data services console, is it sort of another, you know, software layer to manage infrastructure? What exactly is it? >>It's a lot more than that dave and you're you're 100% right. It's basically we're attempting in this release to attack that complexity. Head on. So simply put data services. Cloud console is a SAS based console that delivers cloud operational model and cloud operational agility uh to our customers, it unifies data operations through a series of cloud data services that are delivered on top of this console to our customers in a continuous innovation stream. Uh And what we have done is going back to the point that I made earlier separating storage and data management and putting the strong suites of each of those together into the SAS delivered console for our customers. So what we have done is we have separated data and infrastructure management away from physical hardware to provide a comprehensive and a unified approach to managing data and infrastructure wherever it lives from a customer's perspective, it could be at the edge, it could be in a coal. Oh, it could be in their data center or it could be a bunch of data services that are deployed within the public cloud. So now our customers with data services, cloud console can manage the entire life cycle of their data from all the way from deployment, upgrading and optimizing it uh from a single console from anywhere in the world. Uh This console is designed to streamline data management with cloud data services that enable access to data, It allows for policy-based data protection, it allows for an organizational wide search on top of your storage assets. And we deliver basically a 360° visibility to all your data from a single console that the customer can experience from anywhere. So, so if you look at the journey, the way we're deciding to deliver this. So the first in its first incarnation, uh data services, cloud console gives you infrastructure and cloud data services to start to do data management along with that. But this is that foundation that we are placing in front of our customers, the SAS console through which we get touch our customers on a daily basis. And now as our customers get access to the SAAS platform on the back end, we will continue to roll in additional services throughout the years on a true SAS based innovation base for our customers. And and these services can will be will be ranging all the way from data protection to multiple out data management, all the way to visibility all the way to understanding the context of your data as it's stored across your enterprise. And in addition to that, we're offering a consistent, revised, unified API which allows for our customers to build automation against their storage infrastructure without ever worrying about that. As infrastructure changes. Uh the A P I proof points are going to break for them. That is never going to happen because they are going to be programming to a single SAS based aPI interface from now on. >>Right. And that brings in this idea of infrastructures coding because you talk about as a service to talk about Green Lake and and my question is always okay. Tell me what's behind that. And if and if and if and if you're talking about boxes and and widgets, that's a it's a problem. And you're not you're talking about services and A P. I. S and microservices and that's really the future model. And infrastructure is code and ultimately data as code is really part of that. So, All right. So you guys, I know some of your branding folks, you guys give deep thought uh, to this. So the second part of the announcement is the new product brands and deep maybe you can talk about that a little bit. >>Sure. Ultimately delivering the cloud operational model requires cognitive data infrastructure and that has been engineered to be natively managed from the cloud. And that's why we have also introduced H. P. E. Electra. Omar. Can you perhaps described HB electro even more? >>Absolutely. Thank you. Sandy. Uh, so with with HB Electoral we're launching a new brand of cloud native hardware infrastructure to power our customers data all the way from edge to the core to the cloud. The releases are smaller models for the edge then at the same time having models for the data center and then expanding those services into the public cloud as well. Right. All these hardware devices, Electoral hardware devices are cloud native. Empowered by our Data services. Cloud Council. We're announcing two models with this launch H. P. E. Electra 9000. Uh, this is for our mission critical workloads. It has its history and bases in H P E primera. It comes with 100% availability guarantee. Uh It's the first of its type in the industry. It comes with standard support contract, No special verb is required. And then we're also launching HB electoral 6000. Uh These are based in our history of uh nimble storage systems. Uh These these are for business critical applications, especially for that mid range of the storage market, optimizing price, performance and efficiency. Both of these systems are full envy, any storage powered by our timeless capabilities with data in place upgrades. And then they both deliver a unified infrastructure and data management experience through the data services, cloud console. Uh and and and at the back end, unified ai Ops experience with H P E info site is seamlessly blended in along with the offering for our customers. >>So this is what I was talking about before. It's sort of not your grandfather's storage business anymore. Is this is this is this is something that is part of that, that unified vision, that layer that I talked about. The AP is the program ability. So you're you're reaching into new territory here. Maybe you can give us an example of how the customers experience what that looks like. >>Excellent, loved her Dave. So essentially what we're doing is we're changing the storage experience to a true cloud operational model for our customers. These recent announcements that we just went through along with, indeed they expand the cloud experience that our customers get with storage as a service with HPD Green Lake. So a couple of examples to make this real. So the first of all is simplified deployment. Uh, so I t no longer has to go through complex startup and deployment processes. Now, all you need to do is these systems shipped and delivered to the customer's data center. Operational staff just need to rack and stack and then leave, connect the power cable, connect the network cable. And the job is done from that point onwards, data services console takes over where you can onboard these systems, you can provision these systems if you have a pre existing organization wide security as well as standard profile setup in data services console, we can automatically apply those on your behalf and bring these systems online. From a customer's perspective, they can be anywhere in the world to onboard these systems, they could be driving in a car, they could be sitting on a beach uh And and you know, these systems are automatically on boarded through this cloud operational model which is delivered through the SAAS application for our customers. Another big example. All that I'd like to shed light on is intent based provisioning. Uh So Dave typically provisioning a workload within a data center is an extremely spreadsheet driven trial and error kind of a task. Which system do I land it on? Uh Is my existing sl is going to be affected which systems that loaded, which systems are loaded enough that I put this additional workload on it and the performance doesn't take. All of these decisions are trial and error on a constant basis with cloud data services console along with the electron new systems that are constantly in a loop back information feeding uh Typical analytics to the console. All you need to do is to describe the type of the workload and the intent of the workload in terms of block size S. L. A. That you would like to experience at that point. Data services console consults with intra site at the back end. We run through thousands of data points that are constantly being given to us by your fleet and we come back with a few recommendations. You can accept the recommendation and at that time we go ahead and fully deploy this workload on your behalf or you can specify a particular system and then we will try to enforce the S. L. A. On that system. So it completely eliminates the guesswork and the planning that you have to do in this regard. Uh And last but not the least. Uh you know, one of the most important things is, you know, upgrades has been a huge problem for our customers. Uh And typically oftentimes when you're not in this constant, you know, loop back communication with your customers. It often is a big challenge to identify which release or which bug fix or which update goes on to which particular machine. All of that has been completely taken away from our customers and fully automated. Uh we run thousands of signatures across are installed base. We identify which upgrades need to be curated for which machines in a fleet for a particular customer. And then if it applies to that customer we presented, and if the customer accepts it, we automatically go ahead and upgrade the system and and and last, but not the least from a global management perspective. Now, a customer has an independent data view of their data estate, independent from a storage estate. And data services. Council can blend the two to give a consistent view or you can just look at the fleet view or the data view. >>It's kind of the Holy Grail. I mean I've been in this business a long time and I think I t. People have dreamt about you know this kind of capability for for a long long time. I wonder if we could sort of stay on the customers for a moment here and and talk about what's enabled. Now everybody's talking digital transformation that I joke about the joke. Not funny. The force marched to digital with Covid uh and we really wasn't planned for but the customers really want to drive now that digital transfer some of them are on the back burner and now they're moving to the front burner. What are the outcomes that are that are enabled here? Omar. >>Excellent. So so on on a typical basis for a traditional I. T. Customer, this cloud operational model means that you know information technology staff can move a lot faster and they can be a lot more productive on the things that are directly relevant to their business. They can get up to 99% of the savings back to spend more time on strategic projects or best of all spend time with their families rather than managing and upgrading infrastructure and fleets of infrastructure. Right. For line of business owners, the new experience means that their data infrastructure can be presented can be provision where the self service on demand type of capability. Uh They necessarily don't have to be in the data center to be able to make those decisions. Capacity management, performance management, all of that is died in and presented to them wherever they are easy to consume SAS based models and especially for data innovators, whether it's D B A s, uh whether it's data analysts, they can start to consume infrastructure and ultimately data as a code to speed up their app development because again, the context that we're bringing forward is the context of data decoupling it from. Actually, storage management, storage management and data management are now two separate domains that can be presented through a single console to tie the end to end picture for a customer. But at the end of the day, what we have felt is that customers really really want to rely and move forward with the data management and leave infrastructure management to machine oriented task, which we have completely automated on their behalf. >>So I'm sure you've heard you got the memo about, you know, H H P going all in on as a service. Uh it's clear that the companies all in. How does this announcement fit in to that overall mission, Sandeep >>Dave. We believe the future is edge to cloud and our mission is to be the edge to cloud platform as a service company and as as HB transforms HP Green Lake is our unified cloud platform. Hp Green Link is how we deliver cloud services and agile cloud experiences to customers, applications and data across the edge to cloud. With the storage announcement that we made recently, we announced that we're expanding HB Green Lake with as a service transformation of the HPV storage business to a cloud native software defined data services business. And this expands storage as a service delivering full cloud experience to our customers data across edge and on prem environment across the board were committed to being a strategic partner for every one of our customers and helping them accelerate their digital transformation. >>Yeah, that's where the puck is going guys. Hey as always great conversation with with our friends from HP storage. Thanks so much for the collaboration and congratulations on the announcements and I know you're not done yet. >>Thanks. Dave. Thanks. Dave. All right. Dave. It's a pleasure to be here. >>You're very welcome. And thank you for being with us for hp. You discovered 2021. You're watching the cube, the leader digital check coverage. Keep it right there, but right back. >>Mhm. Mhm.
SUMMARY :
Great to see you. Great to be here. Hey, so uh, last month you guys, you made a big announcement and and now that delivers the cut operational agility and it's designed to unify data operations Hp Green Green Lake brings that cloud experience to our customers So the software defined data center containers with kubernetes, let's zoom and this needs to change for our customers especially with the diversity of the application 95% of the respondents indicated that solving storage to managing data or maybe you can take that one. What are the things that have to be true the vision that you guys unveiled, What does it look like? Um across the board it's time to reimagine saying, look, it's gonna keep getting more complex as the cloud expands to the edge on prem Cross cloud, Uh the A P I proof points are going to break for So the second part of the announcement is the new product brands and deep maybe you can talk about that data infrastructure and that has been engineered to be natively managed from Uh and and and at the back end, unified ai Ops experience with H of how the customers experience what that looks like. Council can blend the two to give a consistent view or you can just look at the fleet view on the back burner and now they're moving to the front burner. Uh They necessarily don't have to be in the data center to be able to make those decisions. Uh it's clear that the companies all in. customers, applications and data across the edge to cloud. on the announcements and I know you're not done yet. It's a pleasure to be here. the leader digital check coverage.
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Omer Asad & Sandeep Singh | HPE Discover 2021
>>Welcome back to HPD discovered 2021. The virtual edition. My name is Dave Volonte and you're watching the cube. We're here with Omar assad is the vice president GM of H P S H C I and primary storage and data management business. And Sandeep Singh was the vice president of marketing for HP storage division. Welcome gents. Great to see you. >>Great to be here. Dave, >>It's a pleasure to be here today. >>Hey, so uh, last month you guys, you made a big announcement and and now you're, you know, shining the spotlight on that here at discover Cindy. Maybe you can give us a quick recap, what do we need to know? >>Yeah, Dave. We announced that we're expanding HB Green Lake by transforming HB storage to a cloud native software defined data services business. We unveiled a new vision for data that accelerates data, dream of transformation for our customers. Uh and it introduced a and we introduced the data services platform that consists of two game changing innovations are first announcement was Data services cloud console. It's a SAS based console that delivers the cut operational agility and it's designed to unify data operations through a suite of cloud data services. Our 2nd announcement is HPE. Electra. It's cloud native data infrastructure to power your data edge to cloud. And it's managed natively with data services cloud console to bring that cloud operational model to our customers wherever their data lives together with the data services platform. Hp Green Green Lake brings that cloud experience to our customers data across edge and on premises environment and lays the foundation for our customers to shift from managing storage to managing data. >>Well, I think it lays the foundation for the next decade. You know, when we entered this past decade, we we were Ricky bobby's terms like software led that that sort of morphed into. So the software defined data center containers with kubernetes, Let's zoom out for a minute. If we can homer maybe you could describe the problems that you're trying to address with this announcement. >>Thanks dave. It's always a pleasure talking to you on these topics. So in my role as general manager for primary storage, I speak with the hundreds of customers across the board and I consistently hear that data is at the heart of what our customers are doing and they're looking for a data driven transformative approach to their business. But as they engage on these things, there are two challenges that they consistently faced. The first one is that managing storage at scale Is rife with complexity. So while storage has gotten faster in the last 20 years, managing a single array or maybe two or three arrays has gotten simpler over time. But managing storage at scale when you deploy fleet. So storage as customers continue to gather, store and lifecycle that data. This process is extremely frustrating for customers. Still I. T. Administrators are firefighting, they're unable to innovate for their business because now data spans all the way from edge to corridor cloud. And then with the advent of public cloud there's another dimension of multi cloud that has been added to their data sprawl. And then secondly what what we what we consistently hear is that idea administrators need to shift from managing storage to managing data. What this basically means is that I. D. Has a desire to mobilize, protect and provision data seamlessly across its lifecycle and across the locations that it is stored at. Uh This ensures that I. D. Leaders uh and also people within the organization understand the context of the data that they store and they operate upon. Yet data management is an extremely big challenge and it is a web of fragmented data silos across processes across infrastructure all the way from test and dev to administration uh to production uh to back up to lifecycle data management. Uh And so up till now data management was tied up with storage management and this needs to change for our customers especially with the diversity of the application workloads as they're growing and as customers are expanding their footprint across a multi cloud environment >>just to add to almost uh response there. We recently conducted a survey that was actually done by E. S. She. Um and that was a survey of IT. decision makers. And it's interesting what it showcased, 93% of the respondents indicated that storage and data management complexity is impeding their digital transformation. 95% of the respondents indicated that solving storage and data management complexity is a top 10 business initiative for them and 94% want to bring the cloud experience on premises, >>you know, al china. And I think as you guys move to the sort of software world and container world affinity to developers homer, you talked about, you know, things like data protection and we talk about security being bolted on all the time. Now. It's designed in it's it's done at sort of the point of creation, not as an afterthought. And that's a big change that we see coming. Uh But let's talk about, you know, what also needs to change as customers make the move from this idea of managing storage to to managing data or maybe you can take that one. >>That's a that's a that's a very interesting problem. Right. What are the things that have to be true in order for us to move into this new data management model? So, dave one of the things that the public cloud got right is the cloud operational model uh which sets the standard for agility and a fast pace for our customers in a classic I. T. On prime model, if you ever wanted to stand up an application or if you were thinking about standing up a particular workload, uh you're going to file a series of I. T. Tickets and then you're at the mercy of whatever complex processes exist within organization and and depending on what the level of approvals are within a particular organization, standing up a workload can take days, weeks or even months in certain cases. So what cloud did was they brought that level of simplicity for someone that wanted to instead she ate an app. This means that the provisioning of underlying infrastructure that makes that workload possible needs to be reduced to minutes from days and weeks. But so what we are intending to do over here is to bring the best of both worlds together so that the cloud experience can be experienced everywhere with ease and simplicity and the customers don't need to change their operating model. So it's blending the two together. And that's what we are trying to usher in into this new era where we start to differentiate between data management and storage management as two independent things. >>Great, thank you for that. Omer sometimes I wonder if you could share with the audience, you know, the vision that you guys unveiled, What does it look like? How are you making it actually substantive and and real? >>Yeah. Dave. That's also great question. Um across the board it's time to reimagine data management. Everything that homer shared. Those challenges are leading to customers needing to break down the silos and complexity that plagues these distributed data environments. And our vision is to deliver a new data experience that helps customers unleash the power of data. We call this vision unified data jobs, Unified Data Ops integrates data centric policies to streamline data management, cloud native control to bring the cloud operational model to where customers data labs and a I driven insights to make the infrastructure invisible. It delivers a new data experience to simplify and bring that agility of cloud to data infrastructure. Streamline data management and help customers innovate faster than ever before. We're making the promise of Unified Data Ops Real by transforming Hve storage to a cloud native software defined data services business and introducing a data services platform that expands Hve Green Lake. >>I mean, you know, you talk about the complexity, I see, I look at it as you kind of almost embracing the complexity saying, look, it's gonna keep getting more complex as the cloud expands to the edge on prem Cross cloud, it gets more complex underneath. What you're doing is you're almost embracing that complexity and putting a layer over it and hiding that complexity from from the end customer that and so they can spend their time doing other things over. I wonder if you can maybe talk a little bit more about the data services console, Is it sort of another software layer to manage infrastructure? What exactly is it? >>It's a lot more than that, Dave and you're you're 100% right. It's basically we're attempting in this release to attack that complexity head on. So simply put data services. Cloud console is a SAS based console that delivers cloud operational model and cloud operational agility uh to our customers. It unifies data operations through a series of cloud data services that are delivered on top of this console to our customers in a continuous innovation stream. Uh And what we have done is going back to the point that I made earlier separating storage and data management and putting the strong suites of each of those together into the SAS delivered console for our customers. So what we have done is we have separated data and infrastructure management away from physical hardware to provide a comprehensive and a unified approach to managing data and infrastructure wherever it lives. From a customer's perspective, it could be at the edge, it could be in a coal. Oh, it could be in their data center or it could be a bunch of data services that are deployed within the public cloud. So now our customers with data services. Cloud console can manage the entire life cycle of their data from all the way from deployment, upgrading and optimizing it uh from a single console from anywhere in the world. Uh This console is designed to streamline data management with cloud data services that enable access to data. It allows for policy-based data protection, it allows for an organizational wide search on top of your storage assets. And we deliver basically a 360° visibility to all your data from a single console that the customer can experience from anywhere. So, so if you look at the journey the way we're deciding to deliver this. So the first, in its first incarnation, uh Data services, Cloud console gives you infrastructure and cloud data services to start to do data management along with that. But this is that foundation that we are placing in front of our customers, the SAS console, through which we get touch our customers on a daily basis. And now as our customers get access to the SAAS platform on the back end, we will continue to roll in additional services throughout the years on a true SAS based innovation base for our customers. And and these services can will be will be ranging all the way from data protection to multiple out data management, all the way to visibility all the way to understanding the context of your data as it's stored across your enterprise. And in addition to that, we're offering a consistent revised unified Api which allows for our customers to build automation against their storage infrastructure. Without ever worrying about that. As infrastructure changes, uh, the A. P I proof points are going to break for them. That is never going to happen because they are going to be programming to a single SAS based aPI interface from now on. >>Right. And that brings in this idea of infrastructure as code because you talk about as a service to talk about Green Lake and and my question is always okay. Tell me what's behind that. And if and if and if and if you're talking about boxes and and widgets, that's a it's a problem. And you're not, you're talking about services and A P. I. S and microservices and that's really the future model and infrastructure is code and ultimately data as code is really part of that. So, All right. So you guys, I know some of your branding folks, you guys give deep thought to this. So the second part of the announcement is the new product brands and deep maybe you can talk about that a little bit. >>Sure. Ultimately delivering the cloud operational model requires cognitive data infrastructure and that has been engineered to be natively managed from the cloud. And that's why we have also introduced H. P. E. Electra. Omar, Can you perhaps described HB electro even more. >>Absolutely. Thank you. Sandy. Uh, so with with HB Electoral we're launching a new brand of cloud native hardware infrastructure to power our customers data all the way from edge to the core to the cloud. The releases are smaller models for the edge then at the same time having models for the data center and then expanding those services into the public cloud as well. Right. All these hardware devices, Electoral hardware devices are cloud native and powered by our data services. Cloud Council, we're announcing two models with this launch H. P. E Electoral 9000. Uh, this is for our mission critical workloads. It has its history and bases in H P E. Primera. It comes with 100% availability guarantee. Uh It's the first of its type in the industry. It comes with standard support contract, no special verb is required. And then we're also launching HB Electoral 6000. Uh These are based in our history of uh nimble storage systems. Uh These these are for business critical applications, especially for that mid range of the storage market, optimizing price, performance and efficiency. Both of these systems are full envy any storage powered by our timeless capabilities with data in place upgrades. And then they both deliver a unified infrastructure and data management experience through the data services, cloud console. Uh And and and at the back end unified Ai Ops experience with H P. E. Info site is seamlessly blended in along with the offering for our >>customers. So this is what I was talking about before. It's sort of not your grandfather's storage business anymore. This is this is this is something that is part of that, that unified vision, that layer that I talked about, the A. P. I. Is the program ability. So you're you're reaching into new territory here. Maybe you can give us an example of how the customers experience what that looks like. >>Excellent. Love to Dave. So essentially what we're doing is we're changing the storage experience to a true cloud operational model for our customers. These recent announcements that we just went through along with, indeed they expand the cloud experience that our customers get with storage as a service with HP Green Lake. So a couple of examples to make this real. So the first of all is simplified deployment. Uh So I t no longer has to go through complex startup and deployment processes. Now all you need to do is these systems shipped and delivered to the customer's data center. Operational staff just need to rack and stack and then leave connect the power cable, connect the network cable. And the job is done. From that point onwards, data services console takes over where you can onboard these systems, you can provision these systems if you have a pre existing organization wide security as well as standard profile setup in data services console, we can automatically apply those on your behalf and bring these systems online. From a customer's perspective, they can be anywhere in the world to onboard these systems, they could be driving in a car, they could be sitting on a beach. Uh And and you know, these systems are automatically on boarded through this cloud operational model which is delivered through the SAAS application for our customers. Another big example. All that I'd like to shed light on is intent based provisioning. Uh So Dave typically provisioning a workload within a data center is an extremely spreadsheet driven trial and error kind of a task. Which system do I land it on? Uh Is my existing sl is going to be affected which systems that loaded which systems are loaded enough that I put this additional workload on it and the performance doesn't take. All of these decisions are trial and error on a constant basis with cloud Data services console along with the electron new systems that are constantly in a loop back information feeding uh Typical analytics to the console. All you need to do is to describe the type of the workload and the intent of the workload in terms of block size S. L. A. That you would like to experience at that point. Data services console consults with intra site at the back end. We run through thousands of data points that are constantly being given to us by your fleet and we come back with a few recommendations. You can accept the recommendation and at that time we go ahead and fully deploy this workload on your behalf or you can specify a particular system and then people try to enforce the S. L. A. On that system. So it completely eliminates the guesswork and the planning that you have to do in this regard. Uh And last but not the least. Uh You know, one of the most important things is, you know, upgrades has been a huge problem for our customers. Uh And typically oftentimes when you're not in this constant, you know, loop back communication with your customers. It often is a big challenge to identify which release or which bug fix or which update goes on to which particular machine, all of that has been completely taken away from our customers and fully automated. Uh We run thousands of signatures across are installed base. We identify which upgrades need to be curated for which machines in a fleet for a particular customer. And then if it applies to that customer we presented, and if the customer accepts it, we automatically go ahead and upgrade the system and and and last, but not the least from a global management perspective. Now, a customer has an independent data view of their data estate, independent from a storage estate and data services. Council can blend the two to give a consistent view or you can just look at the fleet view or the data view. >>It's kind of the holy Grail. I mean I've been in this business a long time and I think I. T. People have dreamt about you know this kind of capability for for a long long time. I wonder if we could sort of stay on the customers for a moment here and and talk about what's enabled. Now. Everybody's talking digital transformation. I joke about the joke. Not funny. The force marched to digital with Covid. Uh and we really wasn't planned for but the customers really want to drive now that digital transfer some of them are on the back burner and now they're moving to the front burner. What are the outcomes that are that are enabled here? Omar. >>Excellent. So so on on a typical basis for a traditional I. T. Customer this cloud operational model means that you know information technology staff can move a lot faster and they can be a lot more productive on the things that are directly relevant to their business. They can get up to 99% of the savings back to spend more time on strategic projects or best of all spend time with their families rather than managing and upgrading infrastructure and fleets of infrastructure. Right for line of business owners, the new experience means that their data infrastructure can be presented can be provision where the self service on demand type of capability. Uh They necessarily don't have to be in the data center to be able to make those decisions. Capacity management, performance management, all of that is died in and presented to them wherever they are easy to consume. SaS based models and especially for data innovators, whether it's D B A s, whether it's data analysts, they can start to consume infrastructure and ultimately data as a code to speed up their app development because again, the context that we're bringing forward is the context of data decoupling it from. Actually, storage management, storage management and data management are now two separate domains that can be presented through a single console to tie the end to end picture for a customer. But at the end of the day, what we have felt is that customers really, really want to rely and move forward with the data management and leave infrastructure management to machine oriented task, which we have completely automated on their behalf. >>So I'm sure you've heard you got the memo about, you know, H H p going all in on as a service. Uh it is clear that the companies all in. How does this announcement fit in to that overall mission? Cindy >>dave We believe the future is edge to cloud and our mission is to be the edge to cloud platform as a service company and as as HB transforms HP Green Lake is our unified cloud platform. Hp Green Link is how we deliver cloud services and agile cloud experiences to customers applications and data across the edge to cloud. With the storage announcement that we made recently, we announced that we're expanding HB Green Lake with as a service transformation of the HPV storage business to a cloud native software defined data services business. And this expands storage as a service, delivering full cloud experience to our customers data across edge and on prem environment across the board were committed to being a strategic partner for every one of our customers and helping them accelerate their digital transformation. >>Yeah, that's where the puck is going guys. Hey as always great conversation with with our friends from HP storage. Thanks so much for the collaboration and congratulations on the announcements and and I know you're not done yet. >>Thanks. Dave. Thanks. Dave. >>Thanks. Dave. It's a pleasure to be here. >>You're very welcome. And thank you for being with us for hp. You discovered 2021 you're watching the cube, the leader digital check coverage. Keep it right there, but right back. >>Yeah. Yeah.
SUMMARY :
Great to see you. Great to be here. Hey, so uh, last month you guys, you made a big announcement and and now you're, that delivers the cut operational agility and it's designed to unify data operations So the software defined data center containers with kubernetes, Let's zoom and this needs to change for our customers especially with the diversity of the application 95% of the respondents indicated that solving storage to managing data or maybe you can take that one. What are the things that have to be true you know, the vision that you guys unveiled, What does it look like? Um across the board it's time to reimagine saying, look, it's gonna keep getting more complex as the cloud expands to the edge on prem Cross cloud, Uh This console is designed to streamline data management with cloud So the second part of the announcement is the new product brands and deep maybe you can talk about that a little bit. data infrastructure and that has been engineered to be natively managed from Uh And and and at the back end unified Ai Ops experience with H that layer that I talked about, the A. P. I. Is the program ability. Uh You know, one of the most important things is, you know, upgrades has been a huge problem The force marched to digital with Covid. Uh They necessarily don't have to be in the data center to be able to make those decisions. Uh it is clear that the companies all in. dave We believe the future is edge to cloud and our mission is to be on the announcements and and I know you're not done yet. Dave. the leader digital check coverage.
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Toby Weiss & Scott Buchanan
>>the idea of cloud is changing from a set of remote services somewhere out there in the cloud to an operating model that supports workloads on prem across clouds and increasingly at the near and far edge moreover, workloads are evolving from a predominance of general purpose systems to increasingly data intensive applications, developers are a new breed of innovators and kubernetes is a linchpin of creating new cloud native workloads that are in the cloud but also modernizing existing application portfolios to connect them to cloud native apps. Hello, we want to welcome back to HPD discovered 2021 the cubes ongoing coverage. This is Dave Volonte and with me are scott. Buchanan is the vice president of marketing at VM ware and Toby Weiss, who is the vice president of global hybrid cloud practice at HP gents. Welcome to the Q. Great to see you. Thanks for coming on. >>Thank you. Day agreed to be here. >>Okay, thanks for having >>us. So you heard my little narrative upfront. Um and so let's get into it. I want to start with with some of the key trends that you guys see in the marketplace and maybe scott you could kick us off from VM ware's perspective. What are you seeing that's really driving? Uh I. T. Today. >>Well, Dave you started with a conversation around cloud, right, and you can't really have a conversation around cloud without also talking about applications. And so much of the interaction that we're having with customers these days is about how we bring apps and clouds together and modernize across those two dimensions at the same time. And that's a pretty complex discussion to have and it's a complex journey to navigate. And so we're here to talk to customers and to work with h Pe to help our customers across those two dimensions. >>Great, so Toby I mean, it's always been about applications, as scott said, but but the application, the nature of applications is changing how we develop applications. The mentioned it sort of data intensive applications were injecting ai uh into virtually everything the apps, the process, the people even um uh from a from the perspective of really a company that supports applications with infrastructure, what are you seeing in the marketplace? What can you add to that discussion? >>Yes. Great point. Dave you know, with the scent with applications becoming more central, think about what that means uh and has been for developer communities and developers becoming uh more important customers for I. T. Uh We have to make it easier for these developers uh to speed their innovations to market. Right? The business demands newer and faster capabilities of these applications. So our job in the infrastructure and uh it was called the platform layer is to help we need to build these kinds of platforms that allow developers to innovate more quickly. >>So we talked earlier about sort of modernizing apps. I mean, it seems to me that the starting point there is you want to containerized and obviously kubernetes is the, is the key there, but so okay, so if that's the starting point, where's the journey, what does that look like? Maybe scott you could chime in there >>Sure. A couple of quick thoughts there, dave and Toby to build on first, is if you look at the Cloud Native Computing Foundation Landscape today, which you can do at landscape dot c n c f dot io Holy Smokes, is that a jungle? So a lot of organizations need a guide through that CN cf landscape, they need a partner that they can trust to show them the way through that landscape. And then secondly, there needs to be ways to make these technologies easier to adopt and to use in practice kubernetes being the ultimate example of that. And so we've been hard at work to try and make it easy and natural to make kubernetes Part of 1's existing infrastructure. So that building with and working with containers can be done on the same platform that you're using for virtual machines. >>So let's let's talk a little bit about cloud and how you guys are thinking about cloud. Remember told me that Back in VM World 2010, it was the very first vm world for the Cube. All we talked about was a cloud, but it was a private cloud was really what we were talking about, which at the time largely met the virtualized data center. Um it was kind of before the software defined data center and today we're still talking about cloud, but it's it's hybrid cloud, it's kind of the narrative that I set up front data center. It's become for the most part software to find. And so how do you see this changing the I. T. Operating model? >>I think it's a great question. And and look today you will see us talk a lot about this notion of cloud everywhere. So less differentiation about private and public and more about the experience of cloud. Right public. Cloud brought great innovations and what better than to bring those innovations to on premise workloads that we've chosen to operate and work there. So as we think about cloud more as an experience we want for our developers and our end users and our I. T. Organizations. We begin to think about how can we replicate that experience in an on premise environment. And so part of that is having the technologies that enable you to do that. The other part is um We most of us have evolved alrighty organization operating models to operate our cloud infrastructures off premises. Well now expanding that more holistically across our organization so we don't have to operating models but a single operating model that bridges both and brings the ability of both those together to get the most benefit as we really become to integrate and become truly hybrid in our organization. So I think the operating model is critical and um the kinds of experiences we deliver to the users of that I. T. Uh infrastructure and operating model is critical as well. >>Are you guys are both basically in the infrastructure business scott? Maybe we can start with you there's a lot of changes that we're talking about in it. Generally the data center specifically especially big changes in workloads with a lot more data intensive apps ai being injected into everything Kubernetes, making things more facile. And in many ways it simplifies things, but it also puts stress on the system because you've got to protect this, they're no longer stateless apps right there, state full and you gotta protect them and and so they've got to be compliant. Um Now you've got the edge coming in. Uh So my question is, what does infrastructure have to do to keep pace with all this application innovation? >>Uh One of the conversations that we are having increasingly with our customers is how can they embrace a dev sec ops mindset in their organization and adopt some of these more modern patterns and practices and make sure that security is embedded in the life cycle of the container. And and so, you know, I think that this is part of, the answer is equipping the operator through infrastructure to set guard rails in place so that the development organization can work with freedom inside of those guard rails that it can draw on a catalogs of curated container images, catalogs of apps start from templates. Those are the building blocks that allow developers to work faster and that allow an operator to ensure the integrity and compliance of the containers and the applications that the organizations building. >>Yeah, So, so that's kind of uh when I hear scott talking about that Toby I think infrastructure as code designing security and governance in we always we always said I was an afterthought, we kind of bolted it on second. The security team had to take care of that. This is always the same thing with backup. Right? So we got an app. It's all ready to go. How do we back it up? And so that's changing that whole notion of infrastructure as code. Um, I want to talk about Green lake in a minute, but, but before we get there, I wonder if you could talk about how HP E thinks about VM ware and how you guys are partnering. I'm specifically interested and where each of you sees the value that you bring to the table for your joint customers. >>Yeah, great question. You know, and, and starting to think about history like you did 2010 being the start of a cube journey. I, I remember in 2003 when we first partnered with VM ware in the very first data center consolidations and we built practices around this. It's been quite a long partnership with VM ware and I'm excited to see this. This partnership evolved today, especially into this cloud, native space and direction. Uh, it's critical we need you know uh you know customers have choices and we need great partners like VM ware uh to help satisfy the many different use cases and choices that our customers have. So while we bring you know good depth when it comes to building these infrastructures that become highly automated um and managed in some cases and consume consumable like on a consumption basis and automated like we help clients automate their ci Cd pipeline. We depend on technologies and partners like them where to make these outcomes real for our customers. >>Yeah I think there's a way to connect a couple of the points that we've been talking about today. Got some data from a state of kubernetes study that we just ran and this is 350 I. T. Decision makers who said uh that they're running kubernetes on premise, 55% of respondents are running kubernetes on premise today and so VM ware and HP get to work together to bring kubernetes to those enterprises, 96% of them said that they're having a challenge selecting the right kubernetes distribution, 60 of them in that C. N. C. F. Landscape and the number one criteria that they're going to use to choose the right distribution, you know set them on a path forward is that it's easy to deploy and to operate and to maintain in production. And so I think that this is where the m wear and HP get to come together to help try and keep things as simple as possible for customers as they navigate. A fairly complex world. >>That's interesting scott. So who are those um those on prem users of containers and kubernetes? Is it the is it the head of you know the the application team and an insurance company whose kind of maintaining the claims about? Is it is a guy's building new cloud native apps to help companies get digital first. Who are those? What's the persona look like >>in our conversations? You know, this is the infrastructure and operations team seen that there's energy around kubernetes and maybe there's some use in test and development and parts of the organization. And by centralizing over ownership of that kubernetes footprint, they can ensure that it's compliant if policy is set properly to your point earlier that it's meets the security standards for the organization. And so it's increasingly that SRE or site reliability engineer or platform operator who's taking ownership of that kubernetes footprint for the organization to ensure that consistency of management and experience for the development teams across the larger order Toby, is that what you're seeing? Two, >>yeah, we see uh we see quite a few, we engage with quite a few developer teams in business leads that have ambitions to speed their application development processes And uh you know, they want help and often as I stated, the intro, they might be coming off of a much older deployment uh maybe from 2015 where there there were an early adopter of a container platform methodology and wanting to get to some newer platform or they they may be in charge of getting a mobile banking application and its features to market much more quickly. So, and often when we get a quote maybe from a client, it might come from, you know, the VP of a business unit. But often as we engage, it's, you know, the developers are pretty much our customers and their developer leaders and teams, >>so you're running into container technical debt already. You're seeing that out there. It sounds like your legacy >>container. It takes some expertise to, to come off those older. You know, the first instance creations of these container platforms were pretty much open source. And yeah, you want to bring it to something that's more modern and has the kinds of features, enterprise grade features you might need. >>So is it not so problematic for for customers? Because as I said before, a lot of those apps were sort of disposable and stateless. And, and, and now they're saying, hey, we can actually use kubernetes to build, you know, mission critical apps. And so there, that's when they sort of decide to pivot to a new modern platform or is there a more complex migration involved? What are you seeing? >>Okay, I'll give my hot, take your Toby and then uh, ask you for yours. But I guess I feel like the conversations that I'm involved in with customers is, you know, always begins with their broader application portfolio. These enterprises have hundreds thousands of applications and job one is to figure out how to categorize them into those which need to be re hosted or platforms or re factored or reimagined entirely. And so they're looking for help figuring out how to categorize those applications and ultimately how to attack each category of application. Some should be re platforms on environments that make best use of kubernetes, some need to be re factored, some need to be reimagined. And so they are again looking for that expert guide to show them the way >>right. And when we engage in those early discussions, we call it right Mix advisory. Um, you know, you're trying to take a full of broad scope as he said, scott down to a few and uh you know, determine kind of the first movers if you will also, you know, clients will engage you know, for very specific applications that are or suite of applications. Again like mobile applications for banking I think are a good example because you know they have an ambition. I mean the leader of that kind of application may very well think that is the mission critical application for the company, right? But of course finance, they have a different point of view. So you know that that application to them is the center of their business getting, you know, their customer access to the core banking features that they have and you know, they want to zero in on the kind of ecosystem. It takes in in the speed at which they can push new features through. So we see both as well um you know, the broader scope application, weaning down to the few discovery application, uh and then of course a very focused effort to help a particular business unit speed development on their mobile app, for example, >>it's interesting scott you were talking about sort of the conversation starts with the application portfolio and there have been there have been these sort of milestones around, you know, major application portfolio, I'll call him rationalizations, I mean there's always an ongoing but y two K was one of those, this is sort of the big move to SAS was another one, obviously cloud and it feels like kubernetes, I mean it's like the cloud to Dato coming on Prem is another one of those opportunities to rationalize applications. We all know the stats right, we always see 85% of the spend is to keep the lights on and the other the only small portions innovation and you know, there's always a promise we can change that. It reminds me of the every year I would go to the boston marathon, it was this guy would run and he had a hat on with the extension and it was a can of Budweiser way out there and he couldn't reach it and so he would run, it was almost the same thing here is they never get there because they have so many projects coming online and the project portfolio and and then and then the C I O has got to maintain those in the application heads and so it's this, this ongoing thing but you do see spikes in rationalization initiatives and it feels like with this push to modernization and digitization maybe the pandemic accelerated that too. Is that a reasonable premise? You seeing sort of a milestone or a marker in terms of increased effort around rationalization and modernization today because of kubernetes? >>Yeah, I definitely think that there are a couple of kubernetes is a catalyzing technology and the challenges of the pandemic or a catalyzing moment. Right. And I feel like uh Organisations have seen over the past 18 months now that those enterprises that have a way to get innovation to market to customers faster, not once a quarter, but many times a day are the ones that are separating themselves in competitive marketplaces and ultimately delivering superior customer experiences. So it comes back to some of the ideas full circle that Toby started with around delivering a superior developer experience so that those developers can get code to production and into the hands of customers on a much more rapid basis. Like that's the outcome that enterprises really care about at the end of the day. And kubernetes is part of the way to get there. But it's the outcome that's key. Great, thank >>you. And one of our practices dave there was uh you know, that's been our bread and butter for so many years. This, you know, this broad based discovery, narrowing down to a strategy and a plan for migrating and moving certain workloads. We see a slight twist today in that clients and organizations want to move quicker too. The apps, they know that, you know, they want to focus on, they want to prove it by through the broad based discovery and kind of a strategic analysis, but they want to get quicker right away to the workloads. They are quite sure that need re factoring or leverage the benefit of a modern developer environment >>and they don't want to be messing around with provisioning lungs and servers and all that stuff. They want that to be simplified. So we're gonna end on Green Lake and I want to understand how you guys are thinking about Green Lake in terms of your partnership and how you're working together, you know, maybe Toby you could sort of give us the update from your perspective, you can't have a conversation with HP today without talking about Green Lake. So give us the kool aid injection. And then I really interested in how VM ware thinks about participating in that. >>Absolutely. And, and thank you for uh, yeah, for helping us out here. You know, I see more and more of our engagements with clients that ask for and, and, and want to sign a Green Life based contract, >>but, >>and that is one very important foundational element. Uh and there's there's so much more because remember we talked about the cloud experience in cloud everywhere and Green Lake brings us an opportunity to bring dimensions to that, especially on the consumption model because that's that's an important element if we begin adding partners such as VM ware to this equation, especially for clients that have huge investments in VM where there's an opportunity here to really bring a lot of value with this cloud experience to our customers through this partnership. >>All right scott, we're gonna give you the last word. What's your take on this? >>Hey listen hard for me to to to add much to what Toby said, he nailed that you see a ton of energy in this space. I think we've covered a bunch of key topics today. Their ongoing conversations with our customers in Green Link is a way to take that conversation to the next level. >>Guys really appreciate you coming on and give us your perspectives on kubernetes and and and and thank you scott for that data. 55% of I. T. Decision makers out of 350 said they're doing on prem kubernetes. That's a new stat. I hadn't I would have expected to be that high but I guess I'm not surprised it's the rage the developers want the latest and greatest guys. Thanks so much for sharing your knowledge and I appreciate you coming on the cube. >>Thank you. Dave. >>Thanks Dave. >>Thank you for watching the cubes ongoing coverage. Hp es discover 2021. The virtual version will be right back. >>Mm.
SUMMARY :
and increasingly at the near and far edge moreover, workloads are evolving Day agreed to be here. I want to start with with some of the key trends that you guys see in the marketplace and And so much of the interaction as scott said, but but the application, the nature of applications is changing how we develop of platforms that allow developers to innovate more quickly. I mean, it seems to me that the starting point there is you want to containerized is if you look at the Cloud Native Computing Foundation Landscape today, It's become for the most part software to find. And so part of that is having the technologies that enable you to do that. Maybe we can start with you there's a lot of changes that we're talking about in it. Uh One of the conversations that we are having increasingly with our customers is how but before we get there, I wonder if you could talk about how HP E thinks Uh, it's critical we need you know uh you know customers have choices and we need to choose the right distribution, you know set them on a path Is it the is it the head of you know the the application earlier that it's meets the security standards for the organization. But often as we engage, it's, you know, the developers are seeing that out there. that's more modern and has the kinds of features, enterprise grade features you might need. to build, you know, mission critical apps. And so they are again looking for that expert guide to show them the way and uh you know, determine kind of the first movers if you will also, and the other the only small portions innovation and you know, there's always a promise we can change that. So it comes back to some of the ideas full circle that Toby started with around delivering And one of our practices dave there was uh you know, that's been our bread and butter for So we're gonna end on Green Lake and I want to understand how you guys are And, and thank you for uh, yeah, for helping us out here. especially on the consumption model because that's that's an important element if we begin All right scott, we're gonna give you the last word. he nailed that you see a ton of energy in this space. Guys really appreciate you coming on and give us your perspectives on kubernetes and and and and thank you scott for that data. Thank you. Thank you for watching the cubes ongoing coverage.
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Ecosystems Powering the Next Generation of Innovation in the Cloud
>> We're here at the Data Cloud Summit 2020, tracking the rise of the data cloud. And we're talking about the ecosystem powering the next generation of innovation in cloud, you know, for decades, the technology industry has been powered by great products. Well, the cloud introduced a new type of platform that transcended point products and the next generation of cloud platforms is unlocking data-centric ecosystems where access to data is at the core of innovation, tapping the resources of many versus the capabilities of one. Casey McGee is here. He's the vice president of global ISV sales at Microsoft, and he's joined by Colleen Kapase, who is the VP of partnerships and global alliances at Snowflake. Folks, welcome to theCUBE. It's great to see you. >> Thanks Dave, good to see you. Thank you. >> Thanks for having us here. >> You're very welcome. So, Casey, let me start with you please. You know, Microsoft's got a long heritage, of course, working with partners, you're renowned in that regard, built a unbelievable ecosystem, the envy of many in the industry. So if you think about as enterprises, they're speeding up their cloud adoption, what are you seeing as the role and the importance of ecosystem, the ISV ecosystem specifically, in helping make customers' outcomes successful? >> Yeah, let me start by saying we have a 45 year history of partnership, so from our very beginning as a company, we invested to build these partnerships. And so let me start by saying from day one, we looked at a diverse ecosystem as one of the most important strategies for us, both to bring innovation to customers and also to drive growth. And so we're looking to build that environment even today. So 45 years later, focused on how do we zero in on the business outcomes that matter most to customers, usually identified by the industry that they're serving. So really building an ecosystem that helps us serve both the customers and the business outcomes they're looking to drive. And so we're building that ecosystem of ISVs on the Microsoft cloud and focused on bringing that innovation as a platform provider through those companies. >> So Casey, let's stay on that for a moment, if we can. I mean, you work with a lot of ISVs and you got a big portfolio of your own solutions. Now, sometimes they overlap with the ISV offerings of your partners. How do you balance the focus on first party solutions and third-party ISV partner solutions? >> Yeah, first and foremost, we're a platform company. So our whole intent is to bring value to that partner ecosystem. Well, sometimes that means we may have offers in market that may compliment one another. Our focus is really on serving the customer. So anytime we see that, we're looking at what is the most desired outcome for our customer, driving innovation into that specific business requirement. So for us, it's always focusing on the customer, and really zeroing in on making sure that we're solving their business problems. Sometimes we do that together with partners like Snowflake. Sometimes that means we do that on our own, but the key for us is really deeply understanding what's important to the customer and then bringing the best of the Microsoft and Snowflake scenarios to bear. >> You know, Casey, I appreciate that. A lot times people say "Dave, don't ask me that question. It's kind of uncomfortable." So Colleen, I want to bring you into the discussion. How does Snowflake view this dynamic, where you're simultaneously partnering and competing sometimes with some of the big cloud companies on the planet? >> Yeah, Dave, I think it's a great question, and really in this era of innovation, so many large companies like Microsoft are so diverse in their product set, it's almost impossible for them to not have some overlap with most of their ecosystem. But I think Casey said it really well, as long as we stay laser focused on the customer, and there are a lot of very happy Snowflake customers and happy Azure customers, we really win together. And I think we're finding ways in which we're working better and better together, from a technology standpoint, and from a field standpoint. And customers want to see us come together and bring best of breed solutions. So I think we're doing a lot better, and I'm looking forward to our future, too. >> So Casey, Snowflake, you know, they're really growing, they've got a pretty large footprint on Azure. You're talking hundreds of customers here that are active on that platform. I wonder if you could talk about the product integration points that you kind of completed initially, and then kind of what's on the horizon that you see as particularly important for your joint customers? >> You have to say, so one of the things that I love about this partnership is that, well, we start with what the customer wants. We bring that back into the engineering-level relationship that we have between the two companies. And so that's produced some pretty incredibly rich functionality together. So let me start by saying, you know, we've got eight Azure regions today with nine coming on soon. And so we have a geographic diversity that is important for many of our customers. We've also got a series of engineering-level integrations that we've already built. So that's functionality for Azure Private Link, as well as integration between Power BI, Azure Data Factory, and Azure Data Lake, all of this back again to serve the business outcomes that are required for our customers. So it's this level of integration that I think really speaks to the power of the partnership. So we are intently focused on the democratization of data. So we know that Snowflake is the premier partner to help us do that. So getting that right is key to enabling high concurrency use cases with large numbers of businesses, users coming together, and getting the performance they expect. >> Yeah, I appreciate that Casey, because a lot of times I'll, you know, I'll look at the press release. Sometimes we laugh, we call them Barney deals. You know, "I love you. You love me." But I listen for the word engineering and integration. Those are sort of important triggers. Colleen, or Casey too, but I want to start with Colleen. I mean, anything you would add to that, are there things that you guys have worked on together that you're particularly proud of, or maybe that have pushed the envelope and enabled new capabilities for customers where they've given you great feedback? Any examples you can share? >> Great question. And we're definitely focusing on making sure stability is a core value for both of us, so that what we offer, that our customers can trust, is going to work well and be dependable, so that's a key focus for us. We're also looking at how can we advance into the future, what can we do around machine learning, it's an area that's really exciting for a lot of the CXO-level leadership at our customers, so we're certainly focused on that. And also looking at Power BI and the visualization of how do we bring these solutions together as well. I'd also say at the same time, we're trying to make the buying experience frictionless for our customers, so we're also leveraging and innovating with Azure's Marketplace, so that our customers can easily acquire Snowflake together with Azure. And even that is being helpful for our customers. Casey, what are your thoughts, too? >> Yeah, let me add to that. I think the work that we've done with Power BI is pretty, pretty powerful. I mean, ultimately, we've got customers out there that are looking to better visualize the data, better inform decisions that they're making. So as much as AI and ML and the inherent power of the data that's being stored within Snowflake is important in and of itself, Power BI really unlocks that and helps drive better decisions, better visualization, and help drive to decision outcomes that are important to the customer. So I love the work that we're doing on Power BI and Snowflake. >> Yeah, and you guys both mentioned, you know, machine learning. I mean, they really are an ecosystem of tools. And the thing to me about Azure, it's all about optionality. You mentioned earlier, Casey, you guys are a platform. So, you know, customer A may want to use Power BI. Another customer might want to use another visualization tool, fine, from a platform perspective, you really don't care, do you? So I wonder Colleen, if we could, and again, maybe Casey can chime in afterwards. You guys, obviously everybody these days, but you in particular, you're focused on customer outcomes. That's the sort of starting point, and Snowflake for sure has built pretty significant experience working with large enterprises and working alongside of Microsoft to get other partners. In your experience, what are customers really looking for out of the two joint companies when they engage with Snowflake and Microsoft, so that one plus one is, you know, much bigger than two. Maybe Colleen, you could start. >> Yeah, I definitely think that what our customers are looking for is both trust and seamlessness. They just want the technology to work. The beauty of Snowflake is our ease of use. So many customers have questions about their business, more so now in this pandemic world than ever before. So the seamlessness, the ease of use, the frictionless, all of these things really matter to our joint customers, and seeing our teams come together, too, in the field, to show here's how Snowflake and Azure are better together, in your local area, and having examples of customers where we've had win-wins, which I'd say Casey, we're getting more and more of those every day, frankly, so it's pretty exciting times. And having our sales teams work as a partnership, even though we compete, we know where we play well together, and I see us doing that over and over again, more and more, around the world, too, which is really important as Snowflake pushes forward, beyond the North America geographies into stronger and stronger in the global regions, where frankly, Microsoft's had a long, storied history at. That's very exciting, especially in Europe and Asia. >> Casey, anything you'd add to that? >> Yeah. Colleen, it's well said. I think ultimately, what customers are looking for is that when our two companies come together, we bring new innovation, new ideas, new ways to solve old problems. And so I think what I love about this partnership is ultimately when we come together, whether it's engineering teams coming together to build new product, whether it's our sales and marketing teams out in front of the customers, across that spectrum, I think customers are looking for us to help bring new ideas. And I love the fact that we've engineered this partnership to do just that. And ultimately we're focused on how do we come together and build something new and different. And I think we can solve some of the most challenging problems with the power of the data and the innovation that we're bringing to the table. >> I mean, you know, Casey, I mean, everybody's really quite in awe and amazed at Microsoft's transformation, and really openness and willingness to really, change and lean into some of the big waves. I wonder if you could talk about your multi-platform strategy and what problems that you're solving in conjunction with Snowflake. >> Yeah, let me start by saying, you know, I think as much as we appreciate that feedback on the progress that we've been striving for, I mean, we're still learning every day, looking for new opportunities to learn from customers, from partners, and so a lot of what you see on the outside is the result of a really focused culture, really focusing on what's important to our customers, focusing on how do we build diversity and inclusion to everything we do, whether that's within Microsoft, with our partners, our customers, and ultimately, how do we show up as one Microsoft, I call one Microsoft kind of the partner's gift. It's ultimately how do our companies show up together? So I think if you look multi-platform, we have the same concept, right? We have the Microsoft cloud that we're offering out in the marketplace. The Microsoft cloud consists of what we're serving up as far as the platform, consists of what we're serving up for data and AI, modern workplace and business applications. And so this multi-cloud strategy for us is really focused on how do we bring innovation across each of the solution areas that matter most to customers. And so I see really the power of the Snowflake partnership playing in there. >> Awesome. Colleen, are there any examples you can share where, maybe this partnership has unlocked the customer opportunity or unique value? >> Yeah, I can't speak about the customer-specific, but what I can do and say is, Casey and I play very corporate roles in terms of we're thinking about the long-term partnership, we're driving the strategy. But hey, look, we'll get called in, we're working a deal right now, it's almost close of the quarter for us, we're literally working on an opportunity right now, how can we win together, how can we be competitive, the customers, the CIO has asked us to come together, to work on that solution. Very large, well-known brand. And we're able to get up to the very senior levels of our companies very quickly to make decisions on what do we need to do to be better and stronger together. And that's really what a partnership is about, you can do the long-term plans and the strategics and you can have great products, but when your executives can pick up the phone and call each other to work on a particular deal, for a particular customer's need, I think that's where the power of the partnership really comes together, and that's where we're at. And that's been a growth opportunity for us this year, is, wasn't necessarily where we were at, and I really have to thank Casey for that. He's done a ton, getting us the right glue between our executives, making sure the relationships are there, and making sure the trust is there, so when our customers need us to come together, that dialogue and that shared diction of putting customers first is there between both companies. So thank you, Casey. >> Oh, thanks, Colleen, the feeling's mutual. >> Well, I think this is key because as I said up front, we've gone from sort of very product-focused to platform-focused. And now we're tapping the power of the ecosystem. That's not always easy to get all the parts moving together, but we live in this API economy. You could say "Hey, I'm a company, everything's going to be homogeneous. Everything is going to be my stack." And maybe that's one way to solve the problem, but really that's not how customers want to solve the problem. Casey, I'll give you the last word. >> Yeah, let me just end by saying, you know, first off the cultures between our two companies couldn't be more well aligned. So I think ultimately when you ask yourself the question, "What do we do to best show up in front of our customers?" It is, focus on their business outcomes, focus on the things that matter most to them. And this partnership will show up well. And I think ultimately our greatest opportunity is to tap into that need, to that interest. And I couldn't be happier about the partnership and the fact that we are so well aligned. So thank you for that. >> Well guys, thanks very much for coming on theCUBE and unpacking some of the really critical aspects of the ecosystem. It was really a pleasure having you. >> Thank you so much for having us. >> Okay, and thank you for watching. Keep it right there. We've got more great content coming your way at the Data Cloud Summit.
SUMMARY :
and the next generation of cloud platforms Thanks Dave, good to see you. of ecosystem, the ISV and focused on bringing that innovation and you got a big portfolio focusing on the customer, cloud companies on the planet? focused on the customer, the horizon that you see and getting the performance they expect. or maybe that have pushed the envelope BI and the visualization So I love the work that And the thing to me about Azure, So the seamlessness, the ease of use, And I love the fact that we've some of the big waves. And so I see really the power examples you can share where, and making sure the trust is there, the feeling's mutual. all the parts moving together, and the fact that we are so well aligned. of the ecosystem. Okay, and thank you for watching.
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Patrick Tickle V2
>>from around the globe. It's the Cube with digital coverage of biz ops Manifesto unveiled. Brought to you by Biz Ops Coalition >>Hey, welcome back Variety. Jeff Freak here with the Cube were Palo Alto studios. And we like to welcome you back to our continuing coverage of biz. Opps manifesto. Unveil. Exciting day to really, uh, kind of bring this out into public. There's been a little bit of conversation, but today is really the official unveiling, and we're excited to have our next guest to share a little bit more information on it. He's Patrick Tickle. He's a chief product officer for plan view. Patrick, great to see you. Yeah, it's great to be here. Thanks for the invite. So why the biz? Opps manifesto? Why the bizarre coalition? Now, when you guys have been added, it's relatively mature marketplace. Business is good. What was missing? Why? Why this? Why this coalition? >>Yeah, so you know, again, Why? Why is bizarre is important. And why is this something I'm you know, I'm so excited about, but I think companies as well, right? Well, no. In some ways or another, this is a topic that I've been talking to you know the market in our customers about for a long time. And it's, you know, I really applaud, you know, this whole movement, right? And, um, it resonates with me because I think one of the fundamental flaws, frankly, of the way we have talked about technology and business literally for decades has been this idea of alignment. Those who know me, I occasionally get off on this little rant about the word alignment. Right? But to me, the word alignment is actually indicative of the of the of the flaw in a lot of our organizations. And biz ops is really, I think, now, trying to catalyze and expose that flaw, right? Because, you know, I I always say that, you know, you know, alignment implies silos right the instantaneously with soon as you say, there's alignment. There's there's obviously somebody who's got a direction and other people that have tow line up and that that kind of siloed, uh, nature of organizations. And then, frankly, the passive nature of I think so many technology organizations like look, the business has the strategy. You guys need to align right and and, you know, is a product leader right that's what I've been my whole career, right? I can tell you that I never sit around. I almost never used the word alignment, right. I mean, whether you know, I never sit down and say, you know, the product management team has to get aligned with death, right? Or the Dev team has to get aligned with the delivery and ops teams. I mean, what I say is, are we on strategy? Right? Like we have a strategy, a zey full end to end value stream, right, and that there's no silos, and I mean, look, every on any given day, we got to get better, right? But the context, the context we operate is not about alignment, right? It's about being on strategy. And I think I've talked to customers a lot about that. But when I first read the manifesto, I was like, Oh, you know, this is exactly this. Is breaking down maybe trying to eliminate the word alignment, you know, from a lot of our organizations, because we literally start thinking about one strategy and how we go from strategy to delivery and have it be our strategy, not someone else's, that we're all aligning to it. And it's a great way to catalyze. You know, that conversation that I've It's been in my mind for years, to be honest, >>right? So, so much to unpack there. One of the things, obviously, uh, stealing a lot from from Dev Ops and the Dev Ops manifesto from 20 years ago. And and as I looked through some of the principles and I looked through some of the values which are, you know, really nicely laid out here, you know, satisfied customers do continues delivery, uh, measure output against riel results. Um, the ones that that jumps out that was really about, you know, change change, right requirements should change frequently. They do change frequently, but I'm curious to get your take from A from a software development point. It's easy to kind of understand, right? We're making this widget, and our competitors made a widget plus X, and now we need to change our plans and make sure that the plus X gets added to the plan. Maybe it wasn't in the plan. You talked a lot about product strategy. So in this kind of continuous delivery world, how does that meld with? I'm actually trying to set a strategy which implies a direction for a little bit further out on the horizon. And to stay on that while at the same time you're kind of doing this real time, continual adjustments because you're not working off a giant PRD or M R d anymore. Yeah, >>totally. Yeah. You know, one of the terms you know, that we use internally a lot on even with my customers, our customers is we talked about this idea rewiring right, and I think you know. So it's kind of an analogy for transformation, and I think a lot of us have to rewire the way we think about things right. And I think it planned view where we have a lot of customers who live in that you know who operationalized that traditional ppm world right and are shifting toe agile and transforming that rewire super important and and to your point right, it's You've just you've got to embrace this idea of, you know, just iterative getting better every day and iterating iterating iterating as opposed to building annual plans. Or, you know, I get customers occasionally. Who asked me for two or three year roadmap right and I literally looked at them and I go There is No There is no scenario where I could build a two or three year roadmap. Right? You you think you want that? But that's not That's not the way we run, right. And I will tell you the biggest thing that for us, you know, that I think is matched the planning. You know, impedance is a word I like to use a lot. So the thing that we've like that we've done from a planning perspective, I think is matched impedance to continuous delivery is instituting the whole program. Implement the program in current planning capabilities and methodologies. Um, in the scaled, agile world, right. And over the last 18 months to two years, we really have now, you know, instrumented our company across three value streams. You know, we do Corley p I program increment 10 week planning, you know, And that becomes that becomes the terra firma of how we plan, right? And it's what are we doing for the next 10 weeks? And we iterated within those 10 weeks. But we also know that 10 weeks from now we're gonna we're gonna just generate again, right and that shifting of that planning model, you know, to being is cross functional. Is that as that big room planning kind of model is, um and also, you know, on that shorter increments. Um, when you get those two things in place also, the impedance really starts to match up with continuous delivery, and it changes. It changes the way you plan. And it changes the way you work, right? >>The other thing. Right. So obviously a lot of these things are kind of process driven both within the values as well as the principles. But there's a whole lot really about culture, and I just wanna highlight a couple of the values, right? We already talked about business outcomes, um, trust and collaboration, a data driven decisions and then learned responded Pivot, right. A lot of those air cultural as much as they are processed. So again, is that the Is that the need to really kind of just put them down on paper? And you know, e can't help but think of, you know, the hammer and up the thing in the Lutheran church with it with their manifesto. Is it just good to get it down? on paper, because when you read these things, you're like, Well, of course we should trust people. And, of course, we need an environment of collaboration. And, of course, we want data driven decisions. But as we all know, saying it and living it are two very, very different things. >>Yeah, good question. I mean, I think there's a lot of ways to bring that to life. You're right. And just hanging up. You know, I think we've all been through the hanging up posters around your office, which these days, right, Unless you're gonna hang a poster and everybody's home office, right, you can't even you can't even fake it that you think that might work, right? So, um, you know, you really, I think we have attacked that in a variety of ways, right? And you definitely have to, you know, you've got to make the shift to a team centric culture, right? Empowered teams. You know, that's a big deal, right? You know, a lot of a lot of the people that you know, we lived in a world of unquote where we lived in a deep resource management world for a long, long time and write a lot of our customers still do that, but, you know, kind of moving to that team centric world is eyes really important and court of the trust. I think training is super important, right? We've, you know, we've internally, right. We've trained hundreds employees over the last year and a half on the fundamentals. Really of safe, right? Not necessarily. You know, we've had we've had teams delivering and scrum and continuous delivery for, you know, for years. But this scaling aspect of it eyes where we've done a lot of training investment on Ben. You know, I think leadership has to be bought in, right, you know? And so we p I plan, you know, myself and camera and the other members are leadership, you know, we're in p I planning, you know, for for four days, right? I mean, you've gotta walk the walk, you know, from top to bottom. And you've got a train on the context, right? And then you and then and then once you get through a few cycles where you've done a pivot, right or you brought a new team in and it just works, it becomes kind of this virtuous circle where people go. Man, this really works so much better than what we used to dio, >>right? Right. Theater Really key principle to this whole thing is is aligning the business leaders and the business prioritization s so that you can get to good outcomes with the development and and the delivery, right? And we know again and kind of classic dev ops to get the Dev and the production people together so they can, you know, quickly ship code that works. Um, but adding the business person on there really puts puts a little extra responsibility that they they understand the value of a particular feature, a particular priority. Uh, they can make the trade offs and that they kind of understand the effort involved too. So, you know, bringing them into this continuous again kind of this continuous development process, Um, to make sure that things were better aligned and really better Prioritize, because ultimately, you know, we don't live in an infinite resource is situation and and people got to make tradeoffs. They gotta make decisions, is toe what goes and what doesn't go on for everything that goes right. I always say you pick one thing Okay, that's 99 other things that couldn't go. So it's really important to have you know, this you said alignment of the business priorities as well as you know, the execution within. Within the development. >>Yeah, I think that, you know, You know, I think it was probably close to two years ago, Forrester started talking about the age of the customer, right? That was like their big theme at the time, right? And I think to me what that the age of the customer actually translates to. And Mick, Mick and I are both big fans of this whole idea of the project. The product shift mixed book, you know, is a great piece on your talking assed part of the manifesto is one of the authors as well. But this shift from project to product, right? Like the age of the customer, in my opinion, the mhm, the embodiment that is the shift to a product mentality, right? And? And the product mentality, in my opinion, is what brings the business and technology teams together, right? Once, once you're focused on a customer experience is delivered through a product or service. That's when I That's when I start to go. The alignment problem goes away. Right? Because if you look at software companies, right, I mean, we run product management models with software development teams, customer success teams, right? That, you know, the software component of these products that people are building is obviously becoming bigger and bigger, you know, and in many ways, right. More more organizations, air trying to model themselves over as operationally like software companies, Right? They obviously have lots of other components in their business than just software. But I think that whole model of customer experience equaling product and then the software component of product the product is the essence of what changes that alignment equation and brings business and teams together. Because also, everyone knows what the customers experiencing, right, And that that that makes a lot of things very clear very quick, >>right? I'm just curious how far along this was as a process before, before Cove, it hit right, because serendipitous. Whatever. Right? But the sudden, you know, light switch moment. Everybody had to go work from home in March 15th. Compared to now, we're in October on. This is gonna be going on for a while and it is a new normal and whatever that whatever is gonna look like a year from now or two years from now is T v D. You know, had you guys already started on this journey because again, to sit down and actually declare this coalition and declare this manifesto is a lot different than just trying to do better within your own organization. Yeah, >>So we had started, you know, we definitely had started independently. You know, some some. You know, I think people in the community know that we we came together with a company called Link It Handful years ago. And I give John Terry, actually one of the founders link it immense credit for, you know, kind of spearheading our cultural change. And not and not because of we're just gonna be, you know, bringing agile solutions to our customers. But because, you know, he believed that it was gonna be a fundamentally better way for us to work, right. And we kind of, you know, and we started with John and built, you know, centric circles, momentum. And we've gotten to the place where now it's just part of who we are, but but I do think that you know, Cove it has. You know, I think pre Cove in a lot of companies, you know, would would adopt, you know, the would adopt digital slash agile transformation. Um, traditional industries may have done it as a reaction to disruption. Right, You know, And in many cases, though, the disruption to these traditional industries was, I would say, a product oriented company, right that probably had a larger software component, and that disruption caused a competitive issue or a customer issue that cause companies to try to respond by transforming. I think co vid, you know, all sudden flatten that out, right? We literally all got disrupted, right? And and so all of a sudden, every one of us is dealing with some degree of market uncertainty customer uncertainty on doll. So none of us are insulated from the need to be able to pivot faster, deliver incrementally, you know, and operating a different, completely more agile way. Uh, you know, Post Cove it right? >>Yeah, that's great. So again, very, very, very timely. You know, a little bit of serendipity, a little bit of planning and, you know, a zoo with all important things There's always a little bit of locking a a lot of hard work involved. So really interesting. Thank you for for your leadership, Patrick. And, you know, it really makes a statement. I think when you have a bunch of leaderships across an industry coming together and putting their name on a piece of paper, that's a line around us, um, principles and some values, which again, if you read them, who wouldn't want to get behind these? But if it takes, you know, something a little bit more formal, uh, to kind of move the ball down the field, and then I totally get it. And, uh, really great work. Thanks for Thanks for doing it. >>Oh, absolutely. No. Like I said, the first time I read it, I was like, Yeah, like you said, this is all this all makes complete sense, but just documenting it and saying it and talking about it moves the needle. I'll tell you, as a company, we were pushing really hard on, uh, you know, on our own internal strategy on diversity inclusion, right. And and like once we wrote the words down About what? You know what we aspire to be from a diversity and inclusion perspective. It's the same thing. Everybody reads the words and goes, Why wouldn't we do this right? But until you write it down and kind of have again, you know, a manifesto or a terra firma of what you're trying to accomplish, you know, Then you can rally behind right, as opposed to it being, you know, something that's everybody's got their own version of the flavor, right? And I think it's a very analogous, you know, kind of initiative. And, uh, it's happening. Both of those things right are happening across the industry these days, >>right and measure it to write and measure it. Measure, measure, get a baseline even if you don't like the measure, even if you don't like what the Even if you can argue against the math behind the measurement, measure it, and at least you could measure it again. And you've got some type of a compound that is really the only way toe to move it forward with. Patrick really enjoyed the conversation. Thanks for for taking a few minutes out of your day. It's great to >>be here. It's an awesome movement, and we're glad to be part of it. All >>right. Thanks. And if you want to check out the biz ops manifesto goto biz Opps manifesto dot org's read it. You might want to sign it there for you. And thanks for tuning in on this segment. We'll continuing coverage of the bizarre manifesto unveiled here on the Cube. I'm Jeff. Thanks for watching.
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Brought to you by Biz Ops Coalition And we like to welcome you back to And it's, you know, I really applaud, you know, this whole movement, And and as I looked through some of the principles and I looked through some of the values which are, you know, And it changes the way you work, right? And you know, e can't help but think of, you know, the hammer and up the thing in the Lutheran church with You know, I think leadership has to be bought in, right, you know? Dev and the production people together so they can, you know, quickly ship code that works. Yeah, I think that, you know, You know, I think it was probably close to two years ago, But the sudden, you know, light switch moment. So we had started, you know, we definitely had started independently. But if it takes, you know, something a little bit more formal, uh, to kind of move the ball down the field, and kind of have again, you know, a manifesto or a terra firma of what you're like the measure, even if you don't like what the Even if you can argue against the math behind the measurement, It's an awesome movement, and we're glad to be part of it. And if you want to check out the biz ops manifesto goto biz Opps manifesto
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Patrick Tickle V1
>>from around the globe. It's the Cube with digital coverage of biz ops Manifesto unveiled Brought to you by Biz Ops Coalition >>Hey, welcome back Variety. Jeff Freak here with the Cube were Palo Alto Studios, and we like to welcome you back to our continuing coverage of biz. Opps manifesto Unveil. Exciting day to really, uh, kind of bring this out into public. There's been a little bit of conversation, but today is really the official unveiling, and we're excited to have our next guest to share a little bit. More information on it. He's Patrick Tickle. He's a chief product officer for plan view. Patrick, great to see you. Yeah, >>it's great to be here. Thanks for the invite. And it's Yeah, exciting day. It's fund a great topic to talk about, right? So before we >>jump into the manifesto, let's for people that aren't as familiar with plan view. Give us kind of the quick overview of what you guys are all about. Yeah, >>so plan, view. You know, we've We've been around for 30 years. The company on we've traditionally lived. We live in the strategy to delivery space. You know, people eso all about planning and connecting that all the way to delivery. You know, historically, a lot of people know us as having lived is the best breed leader in the world of ppm or project portfolio management. But you know, what's interesting about this conversation, in some ways is over The last couple of years, we've been through a massive transformation of our own and really, you know, added the whole world of agile transformation not just to who we are internally, but to the products and solutions we offer. So we now really spanned the world of the world of strategy and work, whether it's agile, traditional, uh, in ways that we never have before. And it's a super exciting time, right? >>And it's really interesting with Cove. It obviously a lot of challenges and and still tough times and dark some dark days ahead. But there's certain businesses, certain industries that are getting a little bit of a tailwind. So I assume that's really helping you guys. As you know now, you've got remote and distributed teams that need more organization and better tooling toe actually get stuff done. So I assume you guys businesses probably little bit on an uptake over the last several months. Yeah, >>that's that is absolutely true, right? I have that conversation all the time, right? I mean, these days, you know, strategy and delivery are pretty dynamic environments, right? And not just in terms of not just in terms of setting strategy and, you know, determining how to deliver. But, I mean, with teams being completely distributed, you know, uh, it's created a whole, as we all know, right? A whole new way of working. But our tool set really is kind of built. Turns out it was kind of built for purpose, you know, for this kind of environment. And it's created, like, very, very interesting time for playing you in for all of our customers. >>Right? And I think your upper right corner in the Gartner Magic Quadrant all that good, positive stuff. And >>you've been at this for a while. >>So why the biz? Opps manifesto? Why the bizarre coalition? Now, when you guys have been at it, it's relatively mature marketplace. Business is good. What was missing? Why? Why this? Why this coalition? >>Yeah, So you know, again, Why? Why is bizarre is important. And why is this something I'm you know I'm so excited about, but I think companies as well, right? Well, no. In some ways or another, this is a topic that I've been talking to, you know, the market in our customers about for a long time. And it's, you know, I really applaud, you know, this whole movement, right? And, um, it resonates with me because I think one of the fundamental flaws, frankly, of the way we have talked about technology and business literally for decades has been this idea of alignment. Those who know me, I occasionally get off on this little rant about the word alignment. Right? But to me, the word alignment is actually indicative of the of the of the flaw in a lot of our organizations. And biz ops is really, I think, now, trying to catalyze and expose that flaw, right, because, you know, I I always say that, you know, you know, alignment implies silos right the instantaneously with soon as you say, there's alignment. There's there's obviously somebody who's got a direction and other people that have tow line up and that that kind of siloed, uh, nature of organizations and then, frankly, the passive nature of right? I think so. Many technology organizations, like look, the business has the strategy. You guys need to align, right and and, you know, as a product leader, right? That's what I've been my whole career. Right? I can tell you that I never sit around. I almost never use the word alignment, right? I mean, whether you know, I never sit down and say, you know, the product management team has to get aligned with death, right? Or the Dev team has to get aligned with the, you know, delivery and ops teams. I mean, what I say is, are we on strategy? Right? Like we we have a strategy as a as a full end to end value stream, right, and that there's no silos, and I mean, look, every on any given day, we got to get better, right? But the context, the context we operate is not about alignment, right? It's about being on strategy. And I think I've talked to customers a lot about that. But when I first read the manifesto, I was like, Oh, you know, this is exactly this is breaking down maybe trying to eliminate the word alignment, you know, from a lot of our organizations because we literally start thinking about one strategy and how we go from strategy to delivery and have it be our strategy, not someone else's, that we're all aligning to it. And it's a great way to catalyze. You know, that conversation that I've has been in my mind for years be honest, >>right? So, So much to unpack there. One of the things, obviously, uh, stealing a lot from from Dev Ops in the Dev Ops Manifesto from 20 years ago. And as I looked through some of the principles and I looked through some of the values which are, you know, really nicely laid out here, you know, satisfied customer do continues delivery measure output against riel results. Um, the the ones that that jumps out, though, is really about, you know, change change. Right requirements should change frequently. They do change frequently, but I'm curious to get your take from a from a software development point. It's easy to kind of understand, right? We're making this widget, and our competitors made a widget plus X, and now we need to change our plans and make sure that the the plus X gets added to the plan. Maybe it wasn't in the plan. You talked a lot about product strategy. So in this kind of continuous delivery world, how does that meld with? I'm actually trying to set a strategy which implies a direction for a little bit further out on the horizon. And to stay on that while at the same time you're kind of doing this real time, continual adjustments because you're not working off a giant PRD or M R D anymore? Yeah, >>totally. Yeah. You know, one of the terms you know, that we use internally a lot on even with my customers, our customers is we talked about this idea of rewiring, right, and I think you know. So it's kind of an analogy for transformation, and I think a lot of us have to rewire the way we think about things right. And I think it plan view where we have a lot of customers who live in that you know who operationalized that traditional ppm world right and are shifting toe agile and transforming that rewire super important and to your point, right, it's you've just you've got to embrace this idea of, you know, just iterative getting better every day. And Iterating Iterating Iterating as opposed to building annual plans. Or, you know, I get customers occasionally. Who asked me for two or three year roadmap? Right? And I literally looked at them and I go, There's no, there's no scenario where I could build a two or three year roadmap, right? You you think you want that? But that's not That's not the way we run, right. And I will tell you the biggest thing that for us, you know, that I think is matched the planning. You know, impedance is a word I like to use a lot. So the thing that we've like that we've done from a planning perspective, I think is matched impedance to continuous delivery is instituting the whole program. Implement the program increments, planning capabilities and methodologies. Um, in the scaled, agile world, right. And over the last 18 months to two years, we really have now, you know, instrumented our company across three value streams. You know, we do quarterly p I program increment 10 week planning, you know, And that becomes that becomes the terra firma of how we plan, right? And it's what are we doing for the next 10 weeks, and we iterated within those 10 weeks. But we also know that 10 weeks from now we're gonna we're gonna just reiterate again, right? And that shifting of that planning model, you know, to being is cross functional. Is that as that big room planning kind of model is, um And also, you know, on that shorter increments when you get those two things in place. Also, the impedance really starts to match up with continuous delivery, and it changes. It changes the way you plan, and it changes the way you work, right? Thea? Other >>thing. Right. So obviously a lot of these things, that kind of process driven both within the values as well as the principles. But there's a whole lot really about culture, and I just want to highlight a couple of the values, right? We already talked about business outcomes, um, trust and collaboration, a data driven decisions and then learned responded pivot, right. A lot of those air cultural as much as they are processed. So again, is that Is that the need to really kind of just put them down on paper? And you know e can't help but think of you know, the hammering up the thing in the Lutheran church with it with their manifesto. Is it just good to get it down on paper? Because when you read these things, you're like, Well, of course we should trust people. And, of course, we need an environment of collaboration. And, of course, we want data driven decisions. But as we all know, saying it and living it are two very, very different things. >>Yeah, good question. I mean, I think there's a lot of ways to bring that to life. You're right. And just hanging up. You know, I think we've all been through the hanging up posters around your office, which these days, right, Unless you're gonna hang a poster and everybody's home office, right, you can't even you can't even fake it that you think that might work, right? So, um, you know, you really, I think we have attacked that in a variety of ways, right? And you definitely have to, you know, you've got to make the shift to a team centric culture, right? Empowered teams. You know, that's a big deal, right? You know, a lot of a lot of the people that, you know, we lived in a world of quote unquote, where we lived in a deep resource management world for a long, long time and write a lot of our customers still do that. But, you know, kind of moving to that team centric world is eyes really important and court of the trust. I think training is super important, right? We've, you know, we've internally, right. We've trained hundreds employees over the last year and a half on the fundamentals. Really of safe, right? Not necessarily. You know, we've had we've had teams delivering and scrum and continuous delivery for, you know, for years. But this scaling aspect of it eyes where we've done a lot of training investment on Ben. You know, I think leadership has to be bought in, right, you know? And so we p I plan, you know, myself and camera and the other members are leadership, you know, we're in p I planning, you know, for for four days, right? I mean, you've gotta walk the walk, you know, from top to bottom. And you've got a train on the context, right? And then you and then and then once you get through a few cycles where you've done a pivot, right? Or you brought a new team in and it just works. It becomes kind of this virtuous circle where he will go. Man, this really works so much better than what we used to dio, >>right? Right. Theater, Really key principle to this whole thing is is aligning the business leaders and the business prioritization s so that you can get to good outcomes with the development and and the delivery right? And we know again and kind of classic dev ops to get the Dev and the production people together so they can, you know, quickly ship code that works. Um, but adding the business person on there really puts puts a little extra responsibility that they they understand the value of a particular feature, a particular priority. Uh, they can make the trade offs and that they kind of understand the effort involved too. So, you know, bringing them into this continuous again kind of this continuous development process, Um, to make sure that things were better aligned and really better Prioritize, because ultimately, you know, we don't live in an infinite resource. Is situation and and people got to make tradeoffs. They gotta make decisions, is toe what goes and what doesn't go on for everything that goes right, I would say you pick one thing. Okay, That's 99 other things that couldn't go. So it's really important to have you know, this you said alignment of the business priorities as well as you know, the execution within, Within the development. >>Yeah, I think that, you know, You know, I think it was probably close to two years ago, Forrester started talking about the age of the customer, right? That was like their big theme at the time, right? And I think to me what that the age of the customer actually translates to. And Mick, Mick and I are both big fans of this whole idea of the project. The product shift mixed book, you know, is a great piece on your talking. A za part of the manifesto is one of the authors as well. But this shift from project to product, right? Like the age of the customer, in my opinion that that the embodiment of that is the shift to a product mentality, right? And the product mentality, in my opinion, is what brings the business and technology teams together. Right once, once you're focused on a customer experience that's delivered through a product or a service, that's when I that's when I start to go. The alignment problem goes away right? Because if you look at software companies, right, I mean, we run product management models with software development teams, customer success teams, right that, you know, the software component of these products that people are building is obviously becoming bigger and bigger, you know, and in many ways, right, more, more organizations are trying to model themselves over as operationally like software companies, right? They obviously have lots of other components in their business than just software. But I think that whole model of customer experience equaling product and then the software component of product the product is the essence of what changes that alignment equation and brings business and teams together because all sudden, everyone knows what the customers experiencing right, and and that that that makes a lot of things very clear very quickly, right? >>I'm just curious how far along this waas as a process before, before Cove it hit right because serendipitous, whatever right, but the sudden, you know, light switch moment. Everybody had to go work from home in March 15th. Compared to now, we're in October on. This is gonna be going on for a while, and it is a new normal and whatever that whatever is gonna look like a year from now or two years from now is T B d. You know, had you guys already started on this journey because again, to sit down and actually declare this coalition and declare this manifesto is a lot different than just trying to do better within your own organization. Yeah, >>So we had started, you know, we definitely had started independently. You know, some some. You know, I think people in the community know that we we came together with a company called Link It Handful years ago. And I give John Terry, actually one of the founders link it immense credit for, you know, kind of spearheading our cultural change. And not and not because of, we're just gonna be, you know, bringing agile solutions to our customers. But because, you know, he believed that it was gonna be a fundamentally better way for us to work, right? And we kind of, you know, And we started with John and built, you know, centric circles momentum. And we've gotten to the place where now it's just part of who we are. But But I do think that you know, Cove it has. You know, I think pre Cove in a lot of companies, you know, would would adopt, you know, the would adopt digital slash agile transformation. Um, traditional industries may have done it as a reaction to disruption. Right, You know, and in many cases, the disruption to these traditional industries was, I would say, a product oriented company, right that probably had a larger software component, and that disruption caused a competitive issue or a customer issue that cause companies to try to respond by transforming. I think co vid, you know, all sudden flatten that out, right? We literally all got disrupted, right? And and so all of a sudden, every one of us is dealing with some degree of market uncertainty. Customer uncertainty on also, none of us are insulated from the need to be able to pivot faster, deliver incrementally, you know, and operating a different, completely more agile way. Uh, you know, Post Cove it, right? >>Yeah, that's great. So again, very, very, very timely. You know, a little bit of serendipity, a little bit of planning and, you know, a zoo with all important things. There's always a little bit of luck and a and a lot of hard work involved. So really interesting. Thank you for for your leadership, Patrick. And, you know, it really makes a statement. I think when you have a bunch of leaderships across an industry coming together and putting their name on a piece of paper, that's a line around us, um, principles and some values, Which again, if you read them, who wouldn't want to get behind these? But if it takes, you know, something a little bit more formal, uh, to kind of move the ball down the field, and then I totally get it. And, uh, really great work. Thanks for Thanks for doing it. >>No, absolutely. No. Like I said, the first time I read it, I was like, Yeah, like you said, this is all this all makes complete sense, but just documenting it and saying it and talking about it moves the needle. I'll tell you, as a company, we were pushing really hard on, uh, you know, on our own internal strategy on diversity inclusion, right? And and like once we wrote the words down About what? You know what we aspire to be from a diversity and inclusion perspective. It's the same thing. Everybody reads the words and goes, Why wouldn't we do this right? But until you write it down and kind of have again, you know, a manifesto or a terra firma of what you're trying to accomplish, you know, Then you can rally behind right, as opposed to it being, you know, something that's everybody's got their own version of the flavor, right? And I think it's a very analogous, you know, kind of initiative. And, uh, it's happening. Both of those things right are happening across the industry these days, >>right? And measure it to write and measure it. Measure, measure, get a baseline even if you don't like the measure, even if you don't like what the Even if you can argue against the math behind the measurement, measure it, and at least you could measure it again. And you've got some type of a compound that is really the only way toe to move it forward with Patrick really enjoyed the conversation. Thanks for for taking a few minutes out of your day. It's great to >>be here. It's an awesome movement, and we're glad to be part of it. All >>right, Thanks. And if you want to check out the biz ops manifesto goto biz ops manifesto dot org's read it. You might want to sign it there for you. And thanks for tuning in on this segment. We'll continuing coverage of the bizarre manifesto unveiled here on the Cube. I'm Jeff. Thanks for watching.
SUMMARY :
coverage of biz ops Manifesto unveiled Brought to you by Biz Ops Coalition Jeff Freak here with the Cube were Palo Alto Studios, and we like to welcome you back to Thanks for the invite. Give us kind of the quick overview of what you guys we've been through a massive transformation of our own and really, you know, added the whole world of So I assume that's really helping you guys. But, I mean, with teams being completely distributed, you know, And I think your upper right corner in the Gartner Magic Quadrant all that good, Now, when you guys have been at it, it's relatively mature marketplace. Or the Dev team has to get aligned with the, you know, delivery and ops teams. And as I looked through some of the principles and I looked through some of the values which are, you know, And over the last 18 months to two years, we really have now, you know, And you know e can't help but think of you know, the hammering up the thing in the Lutheran church with you know, myself and camera and the other members are leadership, you know, we're in p I planning, Dev and the production people together so they can, you know, quickly ship code that works. Yeah, I think that, you know, You know, I think it was probably close to two years ago, but the sudden, you know, light switch moment. And we kind of, you know, And we started with John and built, you know, centric circles momentum. But if it takes, you know, something a little bit more formal, uh, to kind of move the ball down the field, and kind of have again, you know, a manifesto or a terra firma of what you're like the measure, even if you don't like what the Even if you can argue against the math behind the measurement, It's an awesome movement, and we're glad to be part of it. And if you want to check out the biz ops manifesto goto biz ops manifesto
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Dave Brown, Amazon | AWS Summit Online 2020
>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is theCUBE conversation. >> Everyone, welcome to the Cube special coverage of the AWS Summit San Francisco, North America all over the world, and most of the parts Asia, Pacific Amazon Summit is the hashtag. This is part of theCUBE Virtual Program, where we're going to be covering Amazon Summits throughout the year. I'm John Furrier, host of theCUBE. And of course, we're not at the events. We're here in the Palo Alto Studios, with our COVID-19 quarantine crew. And we got a great guest here from AWS, Dave Brown, Vice President of EC2, leads the team on elastic compute, and its business where it's evolving and most importantly, what it means for the customers in the industry. Dave, thanks for spending the time to come on theCUBE virtual program. >> Hey John, it's really great to be here, thanks for having me. >> So we got the summit going down. It's new format because of the shelter in place. They're going virtual or digital, virtualization of events. And I want to have a session with you on EC2, and some of the new things they're going on. And I think the story is important, because certainly around the pandemic, and certainly on the large scale, SaaS business models, which are turning out to be quite the impact from a positive standpoint, with people sheltering in place, what is the role of data in all this, okay? And also, there's a lot of pressure financially. We've had the payroll loan programs from the government, and to companies really looking at their bottom lines. So two major highlights going on in the world that's directly impacted. And you have some products, and news around this, I want to do a deep dive on that. One is AppFlow, which is a new integration service by AWS, that really talks about taking the scale and value of AWS services, and integrating that with SaaS Applications. And the migration acceleration program for Windows, which has a storied history of database. For many, many years, you guys have been powering most of the Windows workloads, ironic that you guys are not Microsoft, but certainly had success there. Let's start with the AppFlow. Okay, this was recently announced on the 22nd of April. This is a new service. Can you take us through why this is important? What is the service? Why now, what was the main driver behind AppFlow? >> Yeah, absolutely. So with the launcher AppFlow, what we're really trying to do is make it easy for organizations and enterprises to really control the flow of their data, between the number of different applications that they use on premise, and AWS. And so the problem we started to see was, enterprises just had this data all over the place, and they wanted to do something useful with it. Right, we see many organizations running Data Lakes, large scale analytics, Big Machine Learning on AWS, but before you can do all of that, you have to have access to the data. And if that data is sitting in an application, either on-premise or elsewhere in AWS, it's very difficult to get out of that application, and into S3, or Redshift, or one of those services, before you can manipulate it, that was the challenge. And so the journey kind of started a few years ago, we actually launched a service on the EC2 network, inside Private Link. And it was really, it provided organizations with a very secure way to transfer network data, both between VPCs, and also between VPC, and on-prem networks. And what this highlighted to us, is organizations say that's great, but I actually don't have the technical ability, or the team, to actually do the work that's required to transform the data from, whether it's Salesforce, or SAP, and actually move it over Private Link to AWS. And so we realized, while private link was useful, we needed another layer of service that actually provided this, and one of the key requirements was an organization must be able to do this with no code at all. So basically, no developer required. And I want to be able to transfer data from Salesforce, my Salesforce database, and put that in Redshift together with some other data, and then perform some function on that. And so that's what AppFlow is all about. And so we came up with the idea about a little bit more than a year ago, that was the first time I sat down, and actually reviewed the content for what this was going to be. And the team's been hard at work, and launched on the 22nd of April. And we actually launched with 14 partners as well, that provide what we call connectors, which allow us to access these various services, and companies like Salesforce and ServiceNow, Slack, Snowflake, to name a few. >> Well, certainly you guys have a great ecosystem of SaaS partners, and that's you know well documented in the industry that you guys are not going to be competing directly with a lot of these big SaaS players, although you do have a few services for customers who want end to end, Jassy continues to pound that home on my Cube interviews. But I think this, >> Absolutely. is notable, and I want to get your thoughts on this, because this seems to be the key unlocking of the value of SaaS and Cloud, because data traversal, data transfer, there's costs involved, also moving traffic over the internet is unsecure, and unreliable. So a couple questions I wanted to just ask you directly. One is did the AppFlow come out of the AWS Private Link piece of it? And two, is it one directional or bi-directional? How is that working? Because I'm guessing that you had Private Link became successful, because no one wants to move on the internet. They wanted direct connects. Was there something inadequate about that service? Was there more headroom there? And is it bi-directional for the customer? >> So let me take the second one, it's absolutely bi-directional. So you can transfer that data between an on-premise application and AWS, or AWS and the on-premise application. Really, anything that has a connector can support the data flow in both directions. And with transformations, and so data in one data source, may need to be transformed, before it's actually useful in a second data source. And so AppFlow takes care of all that transformation as well, in both directions, And again, with no requirement for any code, on behalf of the customer. Which really unlocks it for a lot of the more business focused parts of an organization, who maybe don't have immediate access to developers. They can use it immediately, just literally with a few transformations via the console, and it's working for you. In terms of, you mentioned sort of the flow of data over the internet, and the need for security of data. It's critically important, and as we look at just what had happened as a company does. We have very, very strict requirements around the flow of data, and what services we can use internally. And where's any of our data going to be going? And I think it's a good example of how many enterprises are thinking about data today. They don't even want to trust even HTTPS, and encryption of data on the internet. I'd rather just be in a world where my data never ever traverses the internet, and I just never have to deal with that. And so, the journey all started with Private Link there, and probably was an interesting feature, 'cause it really was changing the way that we asked our customers to think about networking. Nothing like Private Link has ever existed, in the sort of standard networking that an enterprise would normally have. It's kind of only possible because of what VPC allows you to do, and what the software defined network on AWS gives you. And so we built Private Link, and as I said, customers started to adopt it. They loved the idea of being able to transfer data, either between VPCs, or between on-premise. Or between their own VPC, and maybe a third party provider, like Snowflake, has been a very big adopter of Private Link, and they have many customers using it to get access to Snowflake databases in a very secure way. And so that's where it all started, and in those discussions with customers, we started to see that they wanted us to up level a little bit. They said, "We can use Private Link, it's great, "but one of the problems we have is just the flow of data." And how do we move data in a very secure, in a highly available way, with no sort of bottlenecks in the system. And so we thought Private Link was a great sort of underlying technology, that empowered all of this, but we had to build the system on top of that, which is AppFlow. That says we're going to take care of all the complexity. And then we had to go to the ecosystem, and say to all these providers, "Can you guys build connectors?" 'Cause everybody realized it's super important that data can be shared, and so that organizations can really extract the value from that data. And so the 14 of them at launch, we have many, many more down the road, have come to the party with with connectors, and full support of what AppFlow provides. >> Yeah us DevOps purists always are pounding the fist on the table, now virtual table, API's and connectors. This is the model, so people are integrating. And I want to get your thoughts on this. I think you said low code, or no code on the developer simplicity side. Is it no code, or low code? Can you just explain quickly and clarify that point? >> It's no code for getting started literally, for the kind of, it's basic to medium complexity use case. It's not code, and a lot of customers we spoke to, that was a bottleneck. Right, they needed something from data. It might have been the finance organization, or it could have been human resources, somebody else in organization needed that. They don't have a developer that helps them typically. And so we find that they would wait many, many months, or maybe even never get the project done, just because they never ever had access to that data, or to the developer to actually do the work that was required for the transformation. And so it's no code for almost all use cases. Where it literally is, select your data source, select the connector, and then select the transformations. And some basic transformations, renaming of fields, transformation of data in simple ways. That's more than sufficient for the vast majority of use cases. And then obviously through to the destination, with the connector on the other side, to do the final transformation, to the final data source that you want to migrate the data to. >> You know, you have an interesting background, was looking at your history, and you've essentially been a web services kind of guy all your life. From a code standpoint software environment, and now I'll say EC2 is the crown jewel of AWS, and doing more and more with S3. But what's interesting, as you build more of these layers services in there, there's more flexibility. So right now, in most of the customer environments, is a debate around, do I build something monolithic, and or decoupled, okay? And I think there's a world where there's a mutually, not mutually exclusive, I mean, you have a mainframe, you have a big monolithic thing, if it does something. But generally people would agree that a decoupled environment is more flexible, and more agile. So I want to kind of get to the customer use case, 'cause I can really see this being really powerful, AppFlow with Private Link, where you mentioned Snowflake. I mean, Snowflake is built on AWS, they're doing extremely, extremely well, like any other company that builds on AWS. Whether it's theCUBE Cloud, or it's Snowflake. As we tap those services, customers, we might have people who want to build on our platform on top of AWS. So I know a bunch of startups that are building within the Snowflake ecosystem, a customer of yours. >> Yeah. >> So they're technically a customer of Amazon, but they're also in the ecosystem of say, Snowflake. >> Yes. >> So this brings up an interesting kind of computer science problem, which is architecturally, how do I think about that? Is this something where AppFlow could help me? Because I certainly want to enable people to build on a platform, that I build if I'm doing that, if I'm not going to be a pure SaaS turnkey application. But if I'm going to bring partners in, and do integration, use the benefits of the goodness of an API or Connector driven architecture, I need that. So explain to me how this helps me, or doesn't help me. Is this something that makes sense to you? Does this question make sense? How do you react to that? >> I think so, I think the question is pretty broad. But I think there's an element in which I can help. So firstly, you talk about sort of decoupled applications, right? And I think that is certainly the way that we've gone at Amazon, and been very, very successful for us. I think we started that journey back in 2003, when we decoupled the monolithic application that was amazon.com. And that's when our service journey started. And a lot of that sort of inspired AWS, and how we built what we built today. And we see a lot of our customers doing that, moving to smaller applications. It just works better, it's easier to debug, there's ownership at a very controlled level. So you can get all your engineering teams to have very clear and crisp ownership. And it just drives innovation, right? 'Cause each little component can innovate without the burden of the rest of the ecosystem. And so that's what we really enjoy. I think the other thing that's important when you think about design, is to see how much of the ecosystem you can leverage. And so whether you're building on Snowflake, or you're building directly on top of AWS, or you're building on top of one of our other customers and partners. If you can use something that solves the problem for you, versus building it yourself. Well that just leaves you with more time to actually go and focus on the stuff that you need to be solving, right? The product you need to be building. And so in the case of AppFlow, I think if there's a need for transfer of data, between, for example, Snowflake and some data warehouse, that you as an organisation are trying to build on a Snowflake infrastructure. AppFlow is something you could potentially look at. It's certainly not something that you could just use for, it's very specific and focused to the flow of data between services from a data analytics point of view. It's not really something you could use from an API point of view, or messaging between services. It's more really just facilitating that flow of data, and the transformation of data, to get it into a place that you can do something useful with it. >> And you said-- >> But like any of our services-- (speakers talk over each other) Couldn't be using any layer in the stack. >> Yes, it's a level of integration, right? There's no code to code, depending on how you look at it, cool. Customer use cases, you mentioned, large scale analytics, I thought I heard you say, machine learning, Data Lakes. I mean, basically, anyone who's using data is going to want to tap some sort of data repository, and figure out how to scale data when appropriate. There's also contextual, relevant data that might be specific to say, an industry vertical, or a database. And obviously, AI becomes the application for all this. >> Exactly. >> If I'm a customer, how does AppFlow relate to that? How does that help me, and what's the bottom line? >> So I think there's two parts to that journey. And depending on where customers are, and so there's, we do have millions of customers today that are running applications on AWS. Over the last few years, we've seen the emergence of Data Lakes, really just the storage of a large amount of data, typically in S3. But then companies want to extract value out of, and use in certain ways. Obviously, we have many, many tools today, from Redshift, Athena, that allow you to utilize these Data Lakes, and be able to run queries against this information. Things like EMR, and one of our oldest services in the space. And so doing some sort of large scale analytics, and more recently, services like SageMaker, are allowing us to do machine learning. And so being able to run machine learning across an enormous amount of data that we have stored in AWS. And there's some stuff in the IoT, workload use space as well, that's emerging. And many customers are using it. There's obviously many customers today that aren't using it on AWS, potential customers for us, that are looking to do something useful with data. And so the one part of the journey is taking up all of that infrastructure, and we have a lot of services that make it really easy to do machine learning, and do analytics, and that sort of thing. And then the other problem, the other side of the problem, which is what AppFlow is addressing is, how do I get that data to S3, or to Redshift, to actually go and run that machine learning workload? And that's what it's really unlocking for customers. And it's not just the one time transfer of data, the other thing that AppFlow actually supports, is the continuous updating of data. And so if you decide that you want to have that view of your data in S3, for example, and Data Lake, that's kept up to date, within a few minutes, within an hour, you can actually configure AppFlow to do that. And so the data source could be Salesforce, it could be Slack, it could be whatever data source you want to blend. And you continuously have that flow of data between those systems. And so when you go to run your machine learning workload, or your analytics, it's all continuously up to date. And you don't have this problem of, let me get the data, right? And when I think about some of the data jobs that I've run, in my time, back in the day as an engineer, on early EC2, a small part of it was actually running the job on the data. A large part of it was how do I actually get that data, and is it up to date? >> Up to date data is critical, I think that's the big feature there is that, this idea of having the data connectors, really makes the data fresh, because we go through the modeling, and you realize why I missed a big patch of data, the machine learnings not effective. >> Exactly. >> I mean, it's only-- >> Exactly, and the other thing is, it's very easy to bring in new data sources, right? You think about how many companies today have an enormous amount of data just stored in silos, and they haven't done anything with it. Often it'll be a conversation somewhere, right? Around the coffee machine, "Hey, we could do this, and we can do this." But they haven't had the developers to help them, and haven't had access to the data, and haven't been able to move the data, and to put it in a useful place. And so, I think what we're seeing here, with AppFlow, really unlocking of that. Because going from that initial conversation, to actually having something running, literally requires no code. Log into the AWS console, configure a few connectors, and it's up and running, and you're ready to go. And you can do the same thing with SageMaker, or any of the other services we have on the other side that make it really simple to run some of these ideas, that just historically have been just too complicated. >> Alright, so take me through that console piece. Just walk me through, I'm in, you sold me on this. I just came out of meeting with my company, and I said, "Hey, you know what? "We're blowing up this siloed approach. "We want to kind of create this horizontal data model, "where we can mix "and match connectors based upon our needs." >> Yeah. >> So what do I do? I'm using SageMaker, using some data, I got S3, I got an application. What do I do? I'm connecting what, S3? >> Yeah, well-- >> To the app? >> So the simplest thing is, and the simplest place to find this actually, is on Jeff Bezos blog, that he did for the release, right? Jeff always does a great job in demonstrating how to use our various products. But it literally is going into the standard AWS console, which is the console that we use for all of our services. I think we have 200 of them, so it is getting kind of challenging to find the ball in that console, as we continue to grow. And find AppFlow. AppFlow is a top level service, and so you'll see it in the console. And the first thing you got to do, is you got to configure your Source-Connect. And so it's a connector that, where's the data coming from? And as I said, we had 14 partners, you'll be able to see those connectors there, and see what's supported. And obviously, there's the connectivity. Do you have access to that data, or where is the data running? AppFlow runs within AWS, and so you need to have either VPN, or direct connect back to the organization, if the data source is on-premise. If the data source happens to be in AWS, and obviously be in a VPC, and you just need to configure some of that connectivity functionality. >> So no code if the connectors are there, but what if I want to build my own connector? >> So building your own connector, that is something that we working with third parties with right now. I could be corrected, but not 100% sure whether that's available. It's certainly something I think we would allow customers to do, is to extend sort of either the existing connectors, or to add additional transformations as well. And so you'd be able to do that. But the transformations that the vast majority of our customers are using are literally just in the console, with the basic transformations. >> It comes bigger apps that people have, and just building those connectors. How does a partner get involved? You got 14 partners now, how do you extend the partner base contact in Amazon Partner Manager, or you send an email to someone? How does someone get involved? What are you recommending? >> So there are a couple of ways, right? We have an extensive partner ecosystem that the vast majority of these ISVs are already integrated with. And so, we have the 14 we launched with, we also pre announced SAP, which is going to be a very critical one for the vast majority of our customers. Having deep integration with SAP data, and being able to bring that seamlessly into AWS. That'll be launching soon. And then there's a long list of other ones, that we're currently working on. And they're currently working on them themselves. And then the other one is going to be, like with most things that Amazon, feedback from customers. And so what we hear from customers, and very often you'll hear from third party partners as well, who'll come and say, "Hey, my customers are asking me "to integrate with the AppFlow, what do I need to do?" And so, you know, just reaching out to AWS, and letting them know that you'd be interested in integrating, that you're not part of the partner program. The team would be happy to engage, and bring you on board, so-- >> (mumbles) on playbook, get the top use cases nailed down, listen to customers, and figure it out. >> Exactly. >> Great stuff Dave, we really appreciate it. I'm looking forward to digging in AppFlow, and I'll check on Jeff Bezos blog. Sure, it's April 22, was the launch day, probably had up there. One of the things that want to just jump into, now moving into the next topic, is the cost structure. A lot of pressure on costs. This is where I think this Migration Acceleration Program for Windows is interesting. Andy Jassy always likes to boast on stage at Reinvent, about the number of workloads of Windows running on Amazon Web Services. This has been a big part of the customers, I think, for over 10 years, that I can think of him talking about this. What is this about? Are you still seeing uptake on Windows workloads, or, I mean,-- >> Absolutely. >> Azure has got some market share, >> Absolutely. >> but now you, doesn't really kind of square in my mind, what's going on here. Tell us about this migration service. >> Yeah, absolutely, on the migration side. So Windows is absolutely, we still believe AWS is the best place to run a Windows workload. And we have many, many happy Windows customers today. And it's a very big, very large, growing point of our business today, it used to be. I was part of the original team back in 2008, that launched, I think it was Windows 2008, back then on EC2. And I remember sort of working out all the details, of how to do all the virtualization with Windows, obviously back then we'd done Linux. And getting Windows up and running, and working through some of the challenges that Windows had as an operating system in the early days. And it was October 2008 that we actually launched Windows as an operating system. And it's just been, we've had many, many happy Windows customers since then. >> Why is Amazon so peak to run workloads from Windows so effectively? >> Well, I think, sorry what did you say peaked? >> Why is Amazon so in well positioned to run the Windows workloads? >> Well, firstly, I mean, I think Windows is really just the operating system, right? And so if you think about that as the very last little bit of your sort of virtualization stack, and then being able to support your applications. What you really have to think about is, everything below that, both in terms of the compute, so performance you're going to get, the price performance you're going to get. With our Nitro Hypervisor, and the Nitro System that we developed back in 2018, or launched in 2018. We really are able to provide you with the best price performance, and have the very least overhead from a hypervisor point of view. And then what that means is you're getting more out of your machine, for the price that you pay. And then you think about the rest of the ecosystem, right? Think about all the other services, and all the features, and just the breadth, and the extensiveness of AWS. And that's critically important for all of our Windows customers as well. And so you're going to have things like Active Directory, and these sort of things that are very Windows specific, and we can absolutely support all of those, natively. And in the Windows operating system as well. We have things like various agents that you can run inside the Windows box to do more maintenance and management. And so I think we've done a really good job in bringing Windows into the larger, and broader ecosystem of AWS. And it really is just a case of making sure that Windows runs smoothly. And that's just the last little bit on top of that, and so many customers enterprises run Windows today. When I started out my career, I was developing software in the banking industry, and it was a very much a Windows environment. They were running critical applications. And so we see it's critically important for customers who run Windows today, to be able to bring those Windows workloads to AWS. >> Yeah, and that's certainly-- >> We are seeing a trend. Yeah, sorry, go ahead. >> Well, they're certainly out there from a market share standpoint, but this is a cost driver, you guys are saying, and I want you to just give an example, or just illustrate why it costs less. How is it a cost savings? Is it just services, cycle times on EC2? I mean what's the cost savings? I'm a customer like, "Okay, so I'm going to go to Amazon with my workloads." Why is it a cost saving? >> I think there are a few things. The one I was referring to in my previous comment was the price performance, right? And so if I'm running on a system, where the hypervisor is using a significant portion of the physical CPU that I want to use as well. Well there's an overhead to that. And so from a price performance point of view, I look at, if I go and benchmark a CPU, and I look at how much I pay for that per unit of that benchmark, it's better on AWS. Because with our natural system, we're able to give you 100% of the floor. And so you get a performance then. So that's the first thing is price performance, which is different from this price. But there's a saving there as well. The other one is a large part, and getting into the migration program as well. A large part of what we do with our customers, when they come to AWS, is supposed to be, we take a long look at their license strategy. What licenses do they have? And a key part of bringing in Windows workloads AWS, is license optimization. What can we do to help you optimize the licenses that you're using today for Windows, for SQL Server, and really try and find efficiencies in that. And so we're able to secure significant savings for many of our customers by doing that. And we have a number of tools that they use as part of the migration program to do that. And so that helps save there. And then finally, we have a lot of customers doing what we call modernization of their applications. And so it really embraced Cloud, and some of the benefits that you get from Cloud. Especially elasticities, so being able to scale for demand. It's very difficult to do that when you bound by license for your operating system, because every box you run, you have to have a license for it. And so tuning auto scaling on, you've got to make sure you have enough licenses for all these Windows boxes you've seen. And so the push the Cloud's bringing, we've seen a lot of customers move Windows applications from Windows to Linux, or even move SQL Server, from SQL server to SQL Server on Linux, or another database platform. And do a modernization there, that already allows them to benefit from the elasticity that Cloud provides, without having to constantly worry about licenses. >> So final question on this point, migration service implies migration from somewhere else. How do they get involved? What's the onboarding process? Can you give a quick detail on that? >> Absolutely, so we've been helping customers with migrations for years. We've launched a migration program, or Migration Acceleration Program, MAP. We launched it, I think about 2016, 2017 was the first part of that. It was really just a bringing together of the various, the things we'd learned, the tools we built, the best strategies to do a migration. And we said, "How do we help customers looking "to migrate to the Cloud." And so that's what MAP's all about, is just a three phase, we'll help you assess the migration, we'll help you do a lot of planning. And then ultimately, we help you actually do the migration. We partner with a number of external partners, and ISVs, and GSIs, who also worked very closely with us to help customers do migrations. And so what we launched in April of this year, with the Windows migration program, is really just more support for Windows workload, as part of the broader Migration Acceleration Program. And there's benefits to customers, it's a smoother migration, it's a faster migration in almost all cases, we're doing license assessments, and so there's cost reduction in that as well. And ultimately, there's there's other benefits as well that we offer them, if they partner with us in bringing the workload to AWS. And so getting involved is really just reaching out to one of our AWS sales folks, or one of your account managers, if you have an account manager, and talk to them about workloads that you'd like to bring in. And we even go as far as helping you identify which applications are easiest to migrate. And so that you can kind of get going with some of the easier ones, while we help you with some of the more difficult ones. And strategies' about removing those roadblocks to bring your services to AWS. >> Takes the blockers away, Dave Brown, Vice President of EC2, the crown jewel of AWS, breaking down AppFlow, and the migration to Windows services. Great insights, appreciate the time. >> Thanks. >> We're here with Dave Brown, VP of EC2, as part of the virtual Cube coverage. Dave, I want to get your thoughts on an industry topic. Given what you've done with EC2, and the success, and with COVID-19, you're seeing that scale problem play out on the world stage for the entire population of the global world. This is now turning non-believers into believers of DevOps, web services, real time. I mean, this is now a moment in history, with the challenges that we have, even when we come out of this, whether it's six months or 12 months, the world won't be the same. And I believe that there's going to be a Cambrian explosion of applications. And an architecture that's going to look a lot like Cloud, Cloud-native. You've been doing this for many, many years, key architect of EC2 with your team. How do you see this playing out? Because a lot of people are going to be squirreling in rooms, when this comes back. They're going to be video conferencing now, but when they have meetings, they're going to look at the window of the future, and they're going to be exposed to what's failed. And saying, "We need to double down on that, "we have to fix this." So there's going to be winners and losers coming out of this pandemic, really quickly. And I think this is going to be a major opportunity for everyone to rally around this moment, to reset. And I think it's going to look a lot like this decoupled, this distributed computing environment, leveraging all the things that we've talked about in the past. So what's your advice, and how do you see this evolving? >> Yeah, I completely agree. I mean, I think, just the speed at which it happened as well. And the way in which organizations, both internally and externally, had to reinvent themselves very, very quickly, right? We've been very fortunate within Amazon, moving to working from home was relatively simple for the vast majority of us. Obviously, we have a number of our employees that work in data centers, and performance centers that have been on the front lines, and be doing a great job. But for the rest of us, it's been virtual video conferencing, right? All about meetings, and being able to use all of our networking tools securely, either over the VPN, or the no VPN infrastructure that we have. And many organizations had to do that. And so I think there are a number of different things that have impacted us right now. Obviously, virtual desktops has been a significant sort of growth point, right? Folks don't have access to the physical machine anymore, they're now all having to work remote, and so service like Workspaces, which runs on EC2, as well, has being a critical service data to support many of our largest customers. Our client VPN service, so we have within EC2 on the networking side, has also been critical for many large organizations, as they see more of their staff working everyday remotely. It has also seen, been able to support a lot of customers there. Just more broadly, what we've seen with COVID-19, is we've seen some industries really struggle, obviously travel industry, people just aren't traveling anymore. And so there's been immediate impact to some of those industries. They've been other industries that support functions like the video conferencing, or entertainment side of the house, has seen a bit of growth, over the last couple of months. And education has been an interesting one for us as well, where schools have been moving online. And behind the scenes in AWS, and on EC2, we've been working really hard to make sure that our supply chains are not interrupted in any way. The last thing we want to do is have any of our customers not be able to get EC2 capacity, when they desperately need it. And so we've made sure that capacity is fully available, even all the way through the pandemic. And we've even been able to support customers with, I remember one customer who told me the next day, they're going to have more than hundred thousand students coming online. And they suddenly had to grow their business, by some crazy number. And we were able to support them, and give them the capacity, which is way outside of any sort of demand--. >> I think this is the Cambrain explosion that I was referring to, because a whole new set of new things have emerged. New gaps in businesses have been exposed, new opportunities are emerging. This is about agility. It's real time now. It's actually happening for everybody, not just the folks on the inside of the industry. This is going to create a reinvention. So it's ironic, I've heard the word reinvent mentioned more times now, over the past three months, than I've heard it representing to Amazon. 'Cause that's your annual conference, Reinvent, but people are resetting and reinventing. It's actually a tactic, this is going on. So they're going to need some Clouds. So what do you say to that? >> So, I mean, the first thing is making sure that we can continue to be highly available, continue to have the capacity. The worst scenario is not being able to have the capacity for our customers, right? We did see that with some providers, and that honesty on outside is just years and years of experience of being able to manage supply chain. And the second thing is obviously, making sure that we remain available, that we don't have issues. And so, you know, with all of our stuff going remote and working from home, all my teams are working from home. Being able to support AWS in this environment, we haven't missed a beat there, which has been really good. We were well set up to be able to absorb this. And then obviously, remaining secure, which was our highest priority. And then innovating with our customers, and being able to, and that's both products that we're going to launch over time. But in many cases, like that education scenario I was talking about, that's been able to find that capacity, in multiple regions around the world, literally on a Sunday night, because they found out literally that afternoon, that Monday morning, all schools were virtual, and they were going to use their platform. And so they've been able to respond to that demand. We've seen a lot more machine learning workloads, we've seen an increase there as well as organizations are running more models, both within the health sciences area, but also in the financial areas. And also in just general business, (mumbles), yes, wherever it might be. Everybody's trying to respond to, what is the impact of this? And better understand it. And so machine learning is helping there, and so we've been able to support all those workloads. And so there's been an explosion. >> I was joking with my son, I said, "This world is interesting." Amazon really wins, that stuff's getting delivered to my house, and I want to play video games and Twitch, and I want to build applications, and write software. Now I could do that all in my home. So you went all around. But all kidding aside, this is an opportunity to define agility, so I want to get your thoughts, because I'm a bit a big fan of Amazon. As everyone knows, I'm kind of a pro Amazon person, and as other Clouds kind of try to level up, they're moving in the same direction, which is good for everybody, good competition and all. But S3 and EC2 have been the crown jewels. And building more services around those, and creating these abstraction layers, and new sets of service to make it easier, I know has been a top priority for AWS. So can you share your vision on how you're going to make EC2, and all these services easier for me? So if I'm a coder, I want literally no code, low code, infrastructure as code. I need to make Amazon more programmable and easier. Can you just share your vision on, as we talk about the virtual summits, as we cover the show, what's your take on making Amazon easier to consume and use? >> It's been something we thought a lot over the years, right? When we started out, we were very simple. The early days of EC2, it wasn't that rich feature set. And it's been an interesting journey for us. We've obviously become a lot more, we've written, launched local features, which narrative brings some more complexity to the platform. We have launched things like Lightsail over the years. Lightsail is a hosting environment that gives you that EC2 like experience, but it's a lot simpler. And it's also integrated with a number of other services like RDS and ELB as well, basic load balancing functionality. And we've seen some really good growth there. But what we've also learned is customers enjoy the richness of what ECU provides, and what the full ecosystem provides, and being able to use the pieces that they really need to build their application. From an S3 point of view, from a board ecosystem point of view. It's providing customers with the features and functionality that they really need to be successful. From the compute side of the house, we've done some things. Obviously, Containers have really taken off. And there's a lot of frameworks, whether it's EKS, or community service, or a Docker-based ECS, has made that a lot simpler for developers. And then obviously, in the serverless space, Landers, a great way of consuming EC2, right? I know it's serverless, but there's still an EC2 instance under the hood. And being able to bring a basic function and run those functions in serverless is, a lot of customers are enjoying that. The other complexity we're going after is on the networking side of the house, I find that a lot of developers out there, they're more than happy to write the code, they're more than happy to bring their reputation to AWS. But they struggle a little bit more on the networking side, they really do not want to have to worry about whether they have a route to an internet gateway, and if their subnets defined correctly to actually make the application work. And so, we have services like App Mesh, and the whole mesh server space is developing a lot. To really make that a lot simpler, where you can just bring your application, and call it on an application that just uses service discovery. And so those higher level services are definitely helping. In terms of no code, I think that App Mesh, sorry not App Mesh, AppFlow is one of the examples for already given organizations something at that level, that says I can do something with no code. I'm sure there's a lot of work happening in other areas. It's not something I'm actively thinking on right now , in my role in leading EC2, but I'm sure as the use cases come from customers, I'm sure you'll see more from us in those areas. They'll likely be more specific, though. 'Cause as soon as you take code out of the picture, you're going to have to get pretty specific in the use case. You already get the depth, the functionality the customers will need. >> Well, it's been super awesome to have your valuable time here on the virtual Cube for covering Amazon Summit, Virtual Digital Event that's going on. And we'll be going on throughout the year. Really appreciate the insight. And I think, it's right on the money. I think the world is going to have in six to 12 months, surge in reset, reinventing, and growing. So I think a lot of companies who are smart, are going to reset, reinvent, and set a new growth trajectory. Because it's a Cloud-native world, it's Cloud-computing, this is now a reality, and I think there's proof points now. So the whole world's experiencing it, not just the insiders, and the industry, and it's going to be an interesting time. So really appreciate that, they appreciate it. >> Great, >> Them coming on. >> Thank you very much for having me. It's been good. >> I'm John Furrier, here inside theCUBE Virtual, our virtual Cube coverage of AWS Summit 2020. We're going to have ongoing Amazon Summit Virtual Cube. We can't be on the show floor, so we'll be on the virtual show floor, covering and talking to the people behind the stories, and of course, the most important stories in silicon angle, and thecube.net. Thanks for watching. (upbeat music)
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leaders all around the world, and most of the parts Hey John, it's really great to be here, and certainly on the large And so the problem we started to see was, in the industry that you guys And is it bi-directional for the customer? and encryption of data on the internet. And I want to get your thoughts on this. and a lot of customers we spoke to, And I think there's a world in the ecosystem of say, Snowflake. benefits of the goodness And so in the case of AppFlow, of our services-- and figure out how to scale And so the one part of the really makes the data fresh, Exactly, and the other thing is, and I said, "Hey, you know what? So what do I do? And the first thing you got to do, that the vast majority and just building those connectors. And then the other one is going to be, the top use cases nailed down, One of the things that doesn't really kind of square in my mind, of how to do all the And in the Windows We are seeing a trend. and I want you to just give an example, And so the push the Cloud's bringing, What's the onboarding process? And so that you can kind of get going and the migration to Windows services. And I believe that there's going to And the way in which organizations, inside of the industry. And the second thing is obviously, But S3 and EC2 have been the crown jewels. and the whole mesh server and it's going to be an interesting time. Thank you very much for having me. and of course, the most important stories
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Philippe Courtot, Qualys | Qualys Security Conference 2019
>>From Las Vegas. It's the cube covering Qualis security conference 2019 you buy quality. >>Hey, welcome back. You're ready. Jeff Frick here with the cube. We're in Las Vegas at the Bellagio, at the quality security conference. It's the 19th year they've been doing this. It's our first year here and we're excited to be here and it's great to have a veteran who's been in this space for so long, to give a little bit more of a historical perspective as to what happened in the past and where we are now and what can we look forward to in the future. So coming right off his keynote is Felipe korto, the chairman and CEO of Qualys. Phillip, great to see you. Thank you. Same, same, same for me. Absolutely. So you touched on so many great, um, topics in your conversation about kind of the shifts of, of, of modern computing from the mainframe to the mini. We've heard it over and over and over, but the key message was really about architecture. If you don't have the right architecture, you can't have the right solution. So how has the evolution of architects of architectures impacted your ability to deliver security solutions for your clients? >>So now that's a very good question. And in fact, you know, what happened is that we started in 1999 with a vision that we could use exactly like a salesforce.com this nascent internet technologies and apply that to security. And uh, so, and mod when you have applied that to essentially changing the way CRM was essentially used and deployed in enterprises and with a fantastic success as we know. So for us, the, I can say today that 19 years later the vision was right. It took a significant longer because the security people are not really, uh, warm at the idea of silently, uh, having the data in their view, which was in place that they could not control. And the it people, they didn't really like at all the fact that suddenly they were not in control anymore of the infrastructure. So we had a lot of resistance. >>I, wherever we always, I always believe, absolutely believe that the, the cloud will be the cloud architecture to go back. A lot of people make the confusion. That was part of the confusion that for people it was a cloud, that kind of magical things someplace would you don't know where. And when I were trying to explain, and I've been saying that so many times that well you need to look at the cloud like compute that can architecture which distribute the competing power far more efficiently than the previous one, which was client server, which was distributing the convening power far better than of course the mainframes and the mini computers. And so if you look at their architectures, so the mainframe were essentially big data centers in uh, in Fort Knox, like settings, uh, private lines of communication to a dump terminal. And of course security was not really issue then because it's security was built in by the IBM's and company. >>Same thing with the mini computer, which then was instead of just providing the computing power to the large, very large company, you could afford it. Nelson and the minicomputer through the advanced in semiconductor technology could reduce a foot Frank. And then they'll bring that computing power to the labs and to the departments. And was then the new era of the digital equipment, the prime, the data general, et cetera. Uh, and then kind of server came in. So what client server did, again, if you look at the architecture, different architecture now silently servers, the land or the internal network and the PC, and that was now allowing to distribute the computing power to the people in the company. And so, but then you needed to, so everybody, nobody paid attention to security because then you were inside of the enterprise. So it started inside the walls of the castle if you prefer. >>So nobody paid attention to that. It was more complex because now you have multiple actors. Instead of having one IBM or one digital equipment, et cetera, suddenly you have the people in manufacturing and the servers, the software, the database, the PCs, and on announcer, suddenly there was the complexity, increasing efficiency, but nobody paid attention to security because it wasn't a needed until suddenly we realized that viruses could come in through the front door being installed innocently. You were absolutely, absolutely compromised. And of course that's the era of the antivirus which came in. And then because of the need to communicate more and more now, Senator, you could not stay only in your castle. You needed to go and communicate to your customers, to your suppliers, et cetera, et cetera. And now he was starting to open up your, your castle to the world and hello so now so that the, the bad guy could come in and start to steal your information. >>And that was the new era of the forward. Now you make sure that those who come in, but of course that was a little bit naive because there were so many other doors and windows, uh, that people could come in, you know, create tunnels and create these and all of that trying to ensure your customers because the data was becoming more and more rich and more, more important or more value. So whenever there is a value, of course the bad guys are coming in to try to sell it. And that was that new era of a willing to pay attention to security. The problem has been is because you have so many different actors, there was nothing really central there that was just selling more and more solutions and no, absolutely like 800 vendors bolting on security, right? And boating on anything is short-lived at the end of the day because you put more and more weight and then you also increase the complexity and all these different solutions you need. >>They need to talk together so you have a better context. Uh, but they want the design to talk together. So now you need to put other system where they could communicate that information. So you complicated and complicated and complicated the solution. And that's the problem of today. So now cloud computing comes in and again, if you look at the architecture of cloud computing, it's again data centers, which is not today I've become thanks to the technology having infinite, almost competing power and storage capabilities. And like the previous that I sent her, the are much more fractured because you just one scale and they become essentially a little bit easier to secure. And by the way, it's your fewer vendors now doing that. And then of course the access can be controlled better. Uh, and then of course the second component is not the land and the one, it's now the internet. >>And the internet of course is the web communications extremely cheap and it brings you an every place on the planet and soon in Morris, why not? So and so. Now the issue today is that still the internet needs to be secure. And today, how are we going to secure the internet? Which is very important thing today because you see today that you can spoof your email, you can spoof your website, uh, you can attack the DNS who, yes, there's a lot of things that the bad guys still do. And in fact, they've said that leverage the internet of course, to access everywhere so they take advantage of it. So now this is obviously, you know, I created the, the trustworthy movement many years ago to try to really address that. Unfortunately, the quality's was too small and it was not really our place today. There's all the Google, the Facebook, the big guys, which in fact their business depend on the internet. >>Now need to do that. And I upload or be diabetic, criticized very much so. Google was the first one to essentially have a big initiative, was trying to push SSL, which everybody understand is secret encryption if you prefer. And to everybody. So they did a fantastic job. They really push it. So now today's society is becoming like, okay, as I said, you want to have, as I said it all in your communication, but that's not enough. And now they are pushing and some people criticize them and I absolutely applaud them to say we need to change the internet protocols which were created at a time when security, you were transferring information from universities and so forth. This was the hay days, you know, of everything was fine. There was no bad guys, you know, the, he'd be days, if you like, of the internet. Everybody was free, everybody was up and fantastic. >>Okay. And now of course, today this protocol needs to be upgraded, which is a lot of work. But today I really believe that if you put Google, Amazon, Facebook altogether, and they can fix these internet protocols. So we could forget about the spoofing and who forgot about all these phishing and all these things. But this is their responsibility. So, and then you have now on the other side, you have now very intelligent devices from in a very simple sensors and you know, to sophisticated devices, the phone, that cetera and not more and more and more devices interconnected and for people to understand what is going. So this is the new environment and whether we always believe is that if you adopt an architecture, which is exactly which fits, which is similar, then we could instead of bolting security in, we can now say that the build security in a voting security on, we could build security in. >>And we have been very proud of the work that we've done with Microsoft, which we announced in fact relatively recently, very recently, that in fact our agent technologies now is bundled in Microsoft. So we have built security with Microsoft in. So from a security perspective today, if you go to the Microsoft as your secretly center, you click on the link and now you have the view of your entire Azure environment. Crazier for quality Sagent. You click on a second link and now you have the view of your significant loss posture, crazy of that same quality. Say Sagent and then you click on the third name with us. Nothing to do with quality. It's all Microsoft. You create your playbook and you remediate. So security in this environment has become click, click, click, nothing to install, nothing to update. And the only thing you bring are your policies saying, I don't want to have this kind of measured machine expose on the internet. >>I want, this is what I want. And you can continuously audit in essentially in real time, right? So as you can see, totally different than putting boxes and boxes and so many things and then having to for you. So very big game changer. So the analogy that I want you that I give to people, it's so people don't understand that paradigm shift is already happening in the way we secure our homes. You put sensors everywhere, you have cameras, you have detection for proximity detection. Essentially when somebody tried to enter your home, all that data is continuously pumped up into an incidence restaurant system. And then from your phone, again across the internet, you can change the temperature of your rooms. You can do what you can see the person who knocks on the door. You can see its face, you can open the door, close the door, the garage door, you can do all of that remotely, another medically. >>And then if there's a burglar then in your house to try to raking immediately the incidents or some system called the cops or the far Marsha difficult fire. And that's the new paradigm. So security has to follow that paradigm. And then you have interesting of the problem today that we see with all the current secretly uh, systems, uh, incidents, response system. They have a lot of false positive, false positive and false negative are the enemy really of security. Because if you are forced visited, you cannot automate the response because then you are going to try to respond to something that is not true. So you are, you could create a lot of damage. And the example I give you that today in the, if you leave your dog in your house and if you don't have the ability, the dog will bark, would move. And then the sensors would say intruder alert. >>So that's becomes a false positive. So how do you eliminate that? By having more context, you can eliminate automatically again, this false positives. Like now you take a fingerprint of your dog and of these voice and now the camera and this and the sensors and the voice can pick up and say, Oh, this is my dog. So then of course you eliminate that for solar, right? Right. Now even if another dog managed to enter your home through a window which was open or whatever for soul, you will know her window was up and but you know you cannot necessarily fix it and the dog opens. Then you will know it's a, it's a, it's not sure about, right? So that's what security is evolving such a huge sea of change, which is happening because of all that internet and today companies today, after leveraging new cloud technology, which are coming, there's so much new technology. >>What people understand is where's that technology coming from? How come silently we have, you know, Dockers netics all these solutions today, which are available at almost no cost because it's all open source. So what happened is that, which is unlike the enterprise software, which were more the Oracle et cetera, the manufacturer of that software today is in fact the cloud public cloud vendors, the Amazon, the Google, the Facebook, the Microsoft. We suddenly needed to have to develop new technology so they could scale at the size of the planet. And then very shrewdly realized that effective that technology for me, I'm essentially going to imprison that technology is not going to evolve. And then I need other technologies that are not developing. So they realized that they totally changed that open source movement, which in the early days of opensource was more controlled by people who had more purity. >>If you prefer no commercial interests, it was all for the good of the civilization and humankind. And they say their licensing model was very complex. So they simplified all of that. And then nothing until you had all this technology coming at you extremely fast. And we have leverage that technology, which was not existing in the early days when when socials.com started with the Linux lamp pour called what's called Linux Apache. My SQL and PHP, a little bit limiting, but now suddenly all this technology, that classic search was coming, we today in our backend, 3 trillion data points on elastic search clusters and we return inflammation in a hundred milliseconds. And then onto the calf cabin, which is again something at open source. We, we, we, and now today 5 million messages a day and on and on and on. So the world is changing and of course, if that's what it's called now, the digital transformation. >>So now enterprises to be essentially agile, to reach out to the customers better and more, they need to embrace the cloud as the way they do, retool their entire it infrastructure. And essentially it's a huge sea of change. And that's what we see even the market of security just to finish, uh, now evolving in a totally different ways than the way it has been, which in the past, the market of security was essentially the market for the enterprise. And I'm bringing you my, my board, my board town solutions that you have to go and install and make work, right? And then you had the, the antivirus essentially, uh, for all the consumers and so forth. So today when we see the marketplace, which is fragmenting in four different segments, which is one is the large enterprise which are going to essentially consolidate those stock, move into the digital transformation, leveraging absolutely dev ops, which isn't becoming the new buyer and of course a soak or they could improve, uh, their it for, to reach out to more customers and more effectively than the cloud providers as I mentioned earlier, which are building security in the, no few use them. >>You don't have to worry about infrastructure, about our mini servers. You need, I mean it is, it's all done for you. And same thing about security, right? The third market is going to be an emergence of a new generation of managed security service providers, which are going to take to all these companies. We don't have enough resources. Okay, don't worry, I'm going to help you, you know, do all that digital transformation. And that if you build a security and then there's a totally new market of all these devices, including the phone, et cetera, which connects and that you essentially want to all these like OT and IOT devices that are all now connected, which of course presents security risk. So you need to also secure them, but you also need to be able to also not only check their edits to make sure that, okay, because you cannot send people anymore. >>So you need to automate the same thing on security. If you find that that phone is compromised, you need to make, to be able to make immediate decisions about should I kill that phone, right? Destroyed everything in it. Should I know don't let that phone connect anymore to my networks. What should I do? Should I, by the way detected that they've downloaded the application, which are not allowed? Because what we see is more and more companies now are giving tablets, do the users. And in doing so now today's the company property. So they could say, okay, you use these tablets and uh, you're not allowed to do this app. So you could check all of that and then automatically remote. But that again requires a full visibility on what you are. And that's why just to finish, we make a big decision about a few, three months ago that we have, we build the ability for any company on the planet to automatically build their entire global HSE inventory, which nobody knows what they have in that old networking environment. >>You don't know what connects to have the view of the known and the unknown, totally free of charge, uh, across on premise and pawn cloud containers, uh, uh, uh, whether vacations, uh, OT and IOT devices to come. So now there's the cornerstone of security. So with that totally free. So, and then of course we have all these additional solutions and we're build a very scalable, uh, up in platform where we can take data in, pass out data as well. So we really need to be and want to be good citizen here because security at the end of the day, it's almost like we used to say like the doctors, you have to have that kind of apricot oath that you cannot do no arm. So if you keep, if you try to take the data that you have, keep it with you, that's absolutely not right because it's the data of your customers, right? >>So, and you have to make sure that it's there. So you have to be a good warning of the data, but you have to make sure that the customer can absolutely take that data to whatever he wants with it, whatever he needs to do. So that's the kind of totally new field as a fee. And finally today there is a new Ash culture change, which is, which is happening now in the companies, is that security has become fronted centers, is becoming now because of GDPR, which has a huge of financial could over you challenge an impact on a company. A data breach can have a huge financial impact. Security has become a board level. More and more social security is changing and now it's almost like companies, if they want to be successful in the future, they need to embrace a culture of security. And now what I used to say, and that was the, the conclusion of my talk is that now, today it DevOps, uh, security compliance, people need to unite. Not anymore. The silos. I do that. This is my, my turf, my servers. You do that, you do this. Everybody in the company can work. I have to work together towards that goal. And the vendors need to also start to inter operate as well and working with our customers. So it's a tall, new mindset, which is happening, but the safes are big. That's what I'm very confident that we're now into that. Finally, we thought, I thought it would have happened 10 years ago, quite frankly. And uh, but now today's already happening. >>She touched on a lot, a lot there. And I'll speak for another two hours if we could. We could go for Tara, but I want to, I want to unpack a couple of things. We've had James Hamilton on you to at AWS. Um, CTO, super smart guy and it was, it was at one of his talks where it really was kind of a splash, a wet water in the face when he talked about the amount of resources Amazon could deploy to just networking or the amount of PhD power he could put on, you know, any little tiny sub segment of their infrastructure platform where you just realize that you just can't, you can't compete, you cannot put those kinds of resources as an individual company in any bucket. So the inevitability of the cloud model is just, it's, it's the only way to leverage those resources. But because of that, how has, how has that helped you guys change your market? How nice is it for you to be able to leverage infrastructure partners? Like is your bill for go to market as well as feature sets? And also, you know, because the other piece they didn't talk about is the integration of all these things. Now they all work together. Most apps are collection of API APIs. That's also changed. So when you look at the cloud provider GCP as well, how does that help you deliver value to your customers? >>Yeah, but the, the, the, the club, they, they don't do everything. You know, today what is interesting is that the clubs would start to specialize themselves more and more. So for example, if you look at Amazon, the, the core value of Amazon since the beginning has been elastic computing. Uh, now today we should look at Microsoft. They leverage their position and they really have come up with a more enterprise friendly solution. And now Google is trying to find also their way today. And so then you have Addy Baba, et cetera. So these are the public cloud, but life is not uniform like is by nature. Divers life wants to leave lunch to find better ways. We see that that's what we have so many different species and it just ended up. So I've also the other phenomena of companies also building their own cloud as well. >>So the word is entering into a more hybrid cloud. And the technology is evolving very fast as well. And again, I was selling you all these open source software. There's a bigger phenomenon at play, which I used to say that people don't really understand that much wood, but it's so obvious is if you look at the printing price, that's another example that gives the printing price essentially allowed, as we all know, to distribute the gospel, which has some advantage of, you know, creating more morality, et cetera. But then what people don't know for the most part, it distributed the treaties of the Arabs on technology, the scientif treaties, because the archives, which were very thriving civilization at the time, I'd collected all the, all the, all the information from India, from many other places and from China and from etc. And essentially at the time all of Europe was pretty in the age they really came up and it now certainty that scientific knowledge was distributed and that was in fact the seeds of the industrial revolution, which then you're up cat coats and use that and creating all these different technologies. >>So that confidence of this dimension of electricity and all of that created the industrial revolution seeded by now, today what is happening is that the internet is the new printing press, which now is distributing the knowledge that not to a few millions of people to billions of people. So the rate today of advancing technology is accelerating and it's very difficult. I was mentioning today, we know today that work and working against some quantum computing which are going to totally change things. Of course we don't know exactly how and you have also it's clear that today we could use genetic, uh, the, the, the, if you look at DNA, which stores so much information, so little place that we could have significant more, you know, uh, memory capabilities that lower costs. So we have embarked into absolutely a new world where things are changing. I've got a little girl, which is 12 years old and fundamentally that new generation, especially of girls, not boys, because the boys are still on, you know, at that age. >>Uh, they are very studious. They absorb so much information via YouTube. They are things like a security stream. They are so knowledgeable. And when you look back at history 2000 years plus ago in Greece, you at 95 plus percent of the population slaves. So a few percent could start to think now, today it's totally changed. And the amount of information they can, they learn. And this absolutely amazing. And you know, she, she's, I would tell you the story which has nothing to do with computing, but as a button, the knowledge of, she came to me the few, few weeks ago and she said, Oh daddy, I would like to make my mother more productive. Okay. So I said, Oh, that's her name is Avia, which is the, which is the, the, the either Greece or Zeus weathered here. And so I say, Evie, I, so that's a good idea. >>So how are you going to do it? I mean, our answer, I was flawed, but that is very simple. Just like with, for me, I'm going to ask her to go to YouTube to learn what she needs to learn. Exactly. And she learns, she draws very well. She learns how to draw in YouTube and it's not a gifted, she's a nice, very nice little girl and very small, but all her friends are like that. Right? So we're entering in a word, which thing are changing very, very fast. So the key is adaptation, education and democracy and democratization. Getting more people access to more. Absolutely. It's very, very important. And then kind of this whole dev ops continuous improve that. Not big. That's a very good point that you make because that's exactly today the new buyer today in security and in it is becoming the DevOps shipper. >>Because what? What are these people? There are engineers which suddenly create good code and then they want to of course ship their code and then all these old silos or you need to do these, Oh no, we need to put the new server, we don't have the capacity, et cetera. How is that going to take three months or a month? And then finally they find a way through, again, you know, all the need for scale, which was coming from the Google, from the Facebook and so forth. And by the way, we can shortcut all of that and we can create and we can run out to auto-ship, our code. Guess what are they doing today? They are learning how to secure all of that, right? So again, it's that ability to really learn and move. And today, uh, one of the problem that you alluded to is that, which the Amazon was saying is that their pick there, they have taken a lot of the talent resources in the U S today because of course they pay them extra to me, what? >>Of course they'll attract that talent. And of course there's now people send security. There's not enough people that even in, but guess what? We realized that few years ago in 2007, we'll make a big decision who say, well, never going to be able to attract the right people in the Silicon Valley. And we've started to go to India and we have now 750 people. And Jack Welch used to say, we went to India for the cost and discover the talent. We went to India for the talent and we discover the cost. And there is a huge pool of tenants. So it's like a life wants to continue to leave and now to, there are all these tools to learn, are there, look at the can Academy, which today if you want to go in nuclear physics, you can do that through your phone. So that ability to learn is there. So I think we need just more and more people are coming. So I'm a very optimistic in a way because I think the more we improve our technologies that we look at the progress we're making genetics and so everywhere and that confidence of technology is really creating a new way. >>You know, there's a lot of conversations about a dystopian future and a utopian future with all these technologies and the machines. And you know what? Hollywood has shown us with AI, you're very utopian side, very optimistic on that equation. What gives you, what gives you, you know, kind of that positive feeling insecurity, which traditionally a lot of people would say is just whack a mole. And we're always trying to chase the bad guys. Generally >>speaking, if I'm a topian in in a way. But on the other end, you'd need to realize that unfortunately when you have to technological changes and so forth, it's also create factors. And when you look at this story in Manatee, the same technological advancement that some countries to take to try to take advantage of fathers is not that the word is everything fine and everything peaceful. In fact, Richard Clark was really their kid always saying that, Hey, you know that there is a sinister side to all the internet and so forth. But that's the human evolution. So I believe that we are getting longterm. It's going to. So in the meantime there's a lot of changes and humans don't adapt well to change. And so that's in a way, uh, the big challenge we have. But I think over time we can create a culture of change and that will really help. And I also believe that probably at some point in time we will re-engineer the human race. >>All right, cool. We'll leave it there. That's going to launch a whole nother couple hours. They leave. Congratulations on the event and a great job on your keynote. Thanks for taking a few minutes with us. Alrighty. It's relief. I'm Jeff. You're watching the cube where the Qualice security conference at the Bellagio in Las Vegas. Thanks for watching. We'll see you next time.
SUMMARY :
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>>from Las >>Vegas. It's the cues covering quality security Conference 2019 by quality. Hey, welcome back already, Jefe Rick here with the Cube were in Las Vegas at the Bellagio at the Kuala Security Conference. It's the 19th year they've been doing this. It's our first year here, and we're excited to be here. And it's great to have a veteran who's been in this space for so long to give a little bit more of historical perspective as to what happened in the past. Where we are now, what can we look forward to in the future? So coming right off its keynote is Felipe Quarto, the chairman and CEO of Qualities felt great. See, >>Thank you. Same. Same same for me. >>Absolutely. So you touched on so many great topics in your conversation about kind of the shifts of of modern computing, from the mainframe to the mini. We've heard it over and over and over. But the key message was really about architecture. If you don't have the right architecture, you can't have the right solution. How is the evolution of architects of architectures impacted your ability to deliver security solutions for your clients >>So no That's a very good question. And in fact, you know what happened is that we started in 1999 with the vision that we could use exactly like Salesforce. They'll come this nascent Internet technologies and apply that to security. And s and Marc Benioff applied that essentially changing the way serum was essentially used and deployed in enterprises and with a fantastic success as we know. So for us, the I can't say today that 19 years later the vision was right. It took a significant longer because the security people are not really, uh, warm at the idea of Senate Lee, uh, having the data interview which was in place that they could not control. And the i t people, they didn't really like a toll. The fact that certainly they were not in control anymore of the infrastructure. So whether a lot of resistance, I wever, we always I always believe, absolutely believe that the cloud will be the architecture to go back. A lot of people make the confusion That was part of the confusion that for people it was a cloud, that kind of magical things someplace would you don't know where and when I was trying to explain, and I've been saying that so many times that well, you need to look at the club like a computer that can architecture which distribute the computing power for more efficiently than the previous one, which was Clyde Server, which was distributing the computing power for better then, of course, the mainframes and minicomputers. And so if you look at their architecture's so the mainframe were essentially big data centers in in Fort Knox, like setting private lines of communication to damn terminal. And of course, security was not really an issue then, because it's a gritty was building by the IBM said company simply with the minicomputer, which then was, instead of just providing the computing power to the large, very large company could afford it. Now 70 the minicomputer through the advance and say, My conductor technology could reduce the food frank. And then I'll bring the company power to the labs and to the departments. And that was then the new era of the dish, your equipment, the primes, that General et cetera, Uh, and then conservative. So what client service did again? If you look at the architecture, different architectures now, incidently servers LAN or the Internet network and the PC, and that was now allowing to distribute the computing power to the people in the company. And so, but then you needed to so everybody. Nobody paid attention to security because then you were inside of the enterprise. So it starts inside the wars of the castle if you prefer. So nobody paid attention to that. It was more complex because now you have multiple actors instead of having one IBM or one desert equipped. But its center said, You have the people manufacturing the servers. The software that that obeys the PC is an unannounced excellently there was the complexity increased significantly, but nobody paid attention to security because it was not needed. Until suddenly we realized that viruses could come in through the front door being installed innocent. You were absolutely, absolutely compromised. And of course, that's the era of the anti VARS, which came in and then because of the need to communicate more more. Now, Senator, you could not stay only in your castle. You need to go and communicate your customers to your suppliers, et cetera, et cetera. And now you were starting to up and up your your castle to the word and a low now so that the bad guy could come in and start to steal your information. And that's what the new era of the far wall. Now you make sure that those who come in But of course, that was a bit naive because there were so many other doors and windows that people could come in, you know, create tunnels and these and over that transfer, insure your custard. Because the day I was becoming more, more rich and more more important, more value. So whatever this value, of course, the bad guys are coming in to try to sell it. And that was that new era off a win. Each of attention to security. The problem is being is because you have so many different actors. There was nothing really central there. Now. I just suddenly had Maura and more solutions, and now absolutely like 800 vendors. Boarding on security and boating on anything is shortly at the end of the day because you put more more weight, and then you also increasing complexity in all these different solutions. Didn't they need to talk together? So you have a better context, but they weren't designed to talk together. So now you need to put other system where they could communicate that information. So you complicated, complicated, complicated the solution. And that's the problem of today. So now cloud computing comes in and again. If you look at the architecture of cloud computing, it's again Data centers, which not today, have become, thanks to the technology, having infinite, almost company power and storage capabilities. And like the previous data center, there are much more fracture because you just once gave and they become essentially a bit easier to secure. And by the way, it's your fewer vendors now doing that. And then, of course, the access can be controlled better on then. Of course, the second component is that the land and the one it's now the Internet and the Internet, of course, eyes the Web communications extremely cheap, and it brings you in every place on the planet and soon in Morse. Why no so and so now. The issue today is that still the Internet needs to be secure, and today how are you going to secure the Internet? Which is very important thing today because you see today that you can spoof your image, you can spoof your website. You could attack the Deanna's who? Yes, there's a lot of things that the bad guy still do in fact, themselves that ever is the Internet, of course, to access everywhere, so they take advantage of it. So now this is obviously, you know, I created the trustworthy movement many years ago to try to really address that. Unfortunately, qualities was too small, and it was not really our place. Today there's all the Google, the Facebook, the big guys which contract their business, depend on the Internet. Now need to do that and I upload will be been criticised very much so. Google was the 1st 1 to essentially have a big initiative. I was trying to Bush SSL, which everybody understands secret encryption, if you prefer and to everybody. So they did a fantastic job, really push it. So now today's society is becoming like okay, it's a said. You want to have this a settle on your communication, but that's not enough. And now they're pushing and some people criticize them, and I absolutely applaud them to say we need to change the Internet protocols which were created at the time when security you were transferring information from universities. And so for these was a hay days, you know, if everything was fine, there's no bad guys. No, The heebie day is if you like arranging that everybody was free, Everybody was up in fantastic. Okay. And now, of course, today, these poor cold this to be a graded, which is a lot of work. But today I really believe that if you put Google Amazon Facebook altogether and they can fix these internet for records so we could forget about the spoofing and we forget about all these fishing and all this thing this is there responsibility. So and then you have now on the other side, you have now a very intelligent devices from in a very simple sensors and, you know, too sophisticated devices the phone, et cetera, and Maura and more Maur devices interconnected and for people to understand what is being so This is the new environment. And whether we always believe is that if you adopt an architecture which is exactly which fits which is similar, then we could instead of bolting security in, we can also have the build security in voting signal on. We could be in security in. And we have been very proud of the work that went down with my car itself, which we announce, in fact, reluctantly recently, very recently, that, in fact, our agent technologies now it's banned erred in Microsoft. So we have been security with Microsoft in So from a security perspective today, if you go to the Microsoft as your security center, you click on a link, and now you have the view. If you're in tar, is your environment courtesy of record? It's agent. You click on a second link, and now you have the view of your secret cameras. First year, crazy of the same qualities agent. And then you click on the third inning with us. Nothing to do with quite it's It's old Mike ourself you create your playbook and Yuri mediates The security in this environment has become quickly, quick, nothing to in store, nothing to update, and the only thing you bring. All your policies saying I don't want to have this kind of machine exposed on the Internet on what this is what I want and you can continuously owed it essentially in real time, right? So, as you can see, totally different than putting boxes and boxes and so many things. And then I think for you, so very big game changer. So the analogy that I want you that I give to people it's so people understand that paradigm shift. It's already happening in the way we secure our homes. You put sensors everywhere, your cameras of detection, approximately detection. Essentially, when somebody tried to enter your home all that day, that's continuously pumped up into an incident response system. And then from your phone again across the Internet, you can change the temperature of your rooms. You can do it. You can see the person who knocks on the door. You can see its face. You can open the door, close the door, the garage door. You can do all of that remotely and automatically. And then, if there's a burglar, then in your house, who's raking immediately that the incidence response system called the cops or the farmer shirt? If good far. And that's the new paradigm. So security has to follow that product, and then you have interesting of the problem today that we see with all the current security systems incidents Original system developed for a positive force. Positive and negative are the enemy reedy off security? Because if you have forced positive, you cannot automate the response because then you're going to try to respond to something that is that true? So you are. You could create a lot of damage. And the example. I give you that today in the if you leave your dog in your house and if you don't have the ability the dog would bark would move, and then the senses will say intruder alert. So that's become the force. Pretty. So how do you eliminate that? By having more context, you can eliminate automatically again this false positives, like now you, I think a fingerprint of fuel dog and of his voice. And now the camera and this and the sensors on the voice can pick up and say, Oh, this is my dog. So then, of course, you eliminate that forces right now, if if another dog managed to return your home through a window which was open or whatever for so what do we know? A window was open, but you know you can't necessarily fix it on the dog weapons, then you will know it. Sze, not yours. So that's what securities avoiding such a huge sea of change which is happening because of all that injured that end today Companies today after leverages nuclear technology which are coming, there's so much new to college. What people understand is where's that technology coming from? How come silently we have doctors cybernetics a ll these solutions today which are available at almost no cost because it's all open source So what happened is that which is unlike the enterprise software which were Maur the oracle, et cetera, the manufacturer of that software today is in fact the cloud bubbly club Sanders, the Amazon, the Google, the Facebook, the macro self which shouldn't be needed to have to develop new technology so they could scale at the size of the planet. And that very shrewdly realized that if I keep the technology for me, I'm essentially going to imprison. The technology is not going to evolve. And then I need other technologies that I'm not developing. So they realize that they totally changed that open source movement, which in the early days of happens offers more controlled by people who had more purity. If you prefer no commercial interests, it was all for the good, off the civilization and humankind. And they say they're licensing Modern was very complex or the simplified all of that. And then Nelson and you had all this technology coming at you extremely fast. And we have leverage that technology, which was not existing in the early days when when such was not come started with the eunuchs, the lamb, pork or what's called leaks. Apache mice Fewer than Petri limiting Announcer Tiel This technology, like elasticsearch, was coming. We index today now back and three trillion points or less excerpts, clusters, and we return information in 100 minutes seconds and then on the calf campus, which is again something that open source way Baker Now today, five million messages a day and on and on and on. So the word is changing. And of course, if that's what it's called now, the dish transformation now enterprises to be essentially a joy to reach out to the customers better and Maur, they need to embrace the cloud as well, >>right? I >>do retool their entire right infrastructure, and it's such A. It's a huge sea of change, and that's what we see even the market of security just to finish now, evolving in a totally different ways than the way it has Bean, which in the positive market of security was essentially the market for the enterprise. And I'm bringing you might my board, my board, towns, traditions that you have to go in installed and make work. And then you had the the anti virus, essentially for all the consumers and so forth. So today, when we see the marketplace, which is fragmenting in four different segments, which is one is the large enterprise which are going to essentially constantly data start moving to the transformation. Leveraging absolutely develops, which isn't becoming the new buyer. And, of course, so they could improve their I t. For to reach out to more customers and more effectively than the current providers. As I mentioned earlier, which are building security in the knife, you use them. You don't have to worry about infrastructure about how many servers you need, amenities. It's all done for you and something about security. The third market is going to be in an emergence of a new generation of managed Grannie service providers which are going to take all these companies. We don't have enough resources. Okay, Don't worry. I'm going to help you, you know, duel that digital transformation and help you build the security. And then there's a totally new market of all these devices, including the phone, et cetera, which connects and that you essentially I want to all these i, o t and I ot devices that are or now connected, which, of course, present security risk. So I need to also secure them. But you also need to be able to also not only check their health to make sure that okay, because you cannot send people read anymore. So you tournament simply on security. If you find that that phone is compromised, you need to make to be able to make immediate decisions about Should I kill that phone? Destroyed everything in it. Should I Now don't let that phone connect any more to my networks. What should I do? Should I, by the way, detected that they've done with the application which another loud Because what we see is more and more companies are giving tablets to their users and in doing so now, today's the company property so they could say, OK, you use these tablets and you're not allowed to do that so you could check all of that and then automatically. But that again requires full visibility in what you are. And that's why just to finish, we make a big decision about the few three months ago that were We build the ability for any company on the planet to automatically build their targetable itis it eventually, which nobody knows what they have. That old networking environment. You don't know what connects to have the view of the known and the unknown totally free of charge across on premise and pawned crowd continues Web obligations or to united devices to come. So now that's the cornerstone of securities with that totally free. So and then, of course, you have all these additional solutions, and we're being very scalable up in platform where we can take data, a passel data as well. So we really need to be and want to be good citizen here because security at the end of it, it's almost like we used to say, like the doctors, you have to have that kind of feeble court oath that you can do no arms. So if you keep if you try to take the data that you have, keep it with you, that's all.
SUMMARY :
So coming right off its keynote is Felipe Quarto, the chairman and CEO of Qualities So you touched on so many great topics in your conversation So the analogy that I want you that I give to people it's so people understand because security at the end of it, it's almost like we used to say, like the doctors, you have to have that kind of
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Michael Woodacre, HPE | Micron Insight 2019
>>live from San Francisco. It's the Q covering Micron Insight 2019. Brought to you by Micron. >>Welcome back to Pier 27 sentences. You're beautiful day here. You're watching the Cube, the leader in live tech coverage recovering micron inside 2019 hashtag micron in sight. My co host, David Floy er and I are pleased to welcome Michael Wood, Acre Cube alum and a fellow at Hewlett Packard Enterprise. Michael, good to see you again. Thanks. Coming on. >>Thanks for having me. >>So you're welcome? So you're talking about HBC on a panel today? But of course, your role inside of HP is is a wider scope. Talk about that a little bit. >>She also I'm the lead technologists in our Compute Solutions business unit that pack out Enterprise. So I've come from the group that worked on in memory computing the Superdome flex platform around things like traditional enterprise computing s it, Hannah. But I'm now responsible not only for that mission critical solutions platform, but also looking at our blades and edge line businesses. Well said broader technology. >>Okay. And then, of course, today we're talking a lot about data, the growth of data and As you say, you're sitting on a panel talking about high performance computing and the impact on science. What are you seeing? One of the big trends in terms of the intersection between data in the collision with H. P. C and science. >>So what we're seeing is just this explosion of data and this really move from traditionally science of space around how you put equations into supercomputers. Run simulations. You test your theories out, look at results. >>Come back in a couple weeks, >>exactly a potential years. Now. We're seeing a lot of work around collecting data from instruments or whether it's genomic analysis, satellite observations of the planner or of the universe. These aerial generating data in vast quantities, very high rates. And so we need to rethink how we're doing our science to gain insights from this massive data increase with seeing, >>you know, when we first started covering the 10th year, the Cuban So in 2010 if you could look at the high performance computing market as sort of an indicator of some of the things that were gonna happen in so called big data, and some of those things have played out on I think it probably still is a harbinger. I wonder, how are you seeing machine intelligence applied to all this data? And what can we learn from that? In your opinion, in terms of its commercial applications. >>So a CZ we'll know this massive data explosion is how do we gain insights from this data? And so, as I mentioned, we serve equations of things like computational fluid dynamics. But now things are progressing, so we need to use other techniques to gain understanding. And so we're using artificial intelligence and particularly today, deep learning techniques to basically gain insights from the state of Wei. Don't have equations that we can use to mind this information. So we're using these aye aye techniques to effectively generate the algorithms that can. Then you bring patterns of interest to our you know, focused of them, really understand what is the scientific phenomenon that's driving the things particular pattern we're seeing within the data? So it's just beyond the ability of the number of HPC programmers, we have the sort of traditional equation based methodologies algorithms to gain insight. We're moving into this world where way just have outstripped knowledge and capabilities to gain insight. >>So So how does that? How is that being made possible? What are the differences in the architecture that you've had to put in, for example, to make this sort of thing possible? >>Yeah, it's it's really interesting time, actually, a few years ago seemed like computing was starting to get boring because wears. Now we've got this explosion of new hardware devices being built, basically moving into the more of a hetero genius. Well, because we have this expo exponential growth of data. But traditional computing techniques are slowing down, so people are looking at exaggerate er's to close that gap and all sorts of hatred genius devices. So we've really been thinking. How do we change that? The whole computing infrastructure to move from a compute centric world to a memory centric world? And how can we use memory driven computing techniques to close that gap to gain insight, so kind of rethinking the whole architectural direction basically merge, sort of collapsing down the traditional hierarchy you have, from storage to memory to the CPU to get rid of the legacy bottlenecks in converting protocols from process of memory storage down to just a simple basically memory driven architecture where you have access to the entire data set you're looking at, which could be many terabytes to pad of eyes to exabytes that you can do simple programming. Just directly load store to that huge data set to gain insights. So that's that's really changed. >>Fascinating, isn't it? So it's the Gen Z. The hope of Gen Z is actually taking place now. >>Yes, so Gen Z is an industry led consulting around a memory fabric and the, you know, Hewlett Packard Enterprise Onda whole host of industry partners, a part of the ecosystem looking at building a memory fabric where people can bring different innovations to operate, whether it's processing types, memory types, that having that common infrastructure. I mean, there's other work to in the industry the Compute Express Link Consortium. So there's a lot of interest now in getting memory semantics out of the process, er into a common fabric for people to innovate. >>Do you have some examples of where this is making a difference now, from from the work in the H B and your commercial work? >>Certainly. Yeah, we're working with customers in areas like precision medicine, genomex basically exaggerating the ability to gain insights into you know what medical pathway to go on for a particular disease were working in cybersecurity. Looking at how you know, we're worried about security of our data and things like network intrusion. So we're looking at How can you gain insights not only into known attacking patterns on a network that the unknown patents that just appearing? So we're actually a flying machine learning techniques on sort of graft data to understand those things. So there's there's really a very broad spectrum where you can apply these techniques to Data Analytics >>are all scientists now, data scientists. And what's the relationship between sort of a classic data scientist, where you think of somebody with stats and math and maybe a little bit of voting expertise and a scientist that has much more domain expertise you're seeing? You see, data scientists sort of traversed domains. How are those two worlds coming together? >>It's funny you mentioned I had that exact conversation with one of the members of the Cosmos Group in Cambridge is the Stephen Hawking's cosmology team, and he said, actually, he realized a couple of years ago, maybe he should call himself a day two scientists not cosmologist, because it seemed like what he was doing was exactly what you said. It's all about understanding their case. They're taking their theoretical ideas about the early universe, taking the day to measurements from from surveys of the sky, the background, the cosmic background radiation and trying to pair these together. So I think your data science is tremendously important. Right now. Thio exhilarate you as they are insights into data. But it's not without you can't really do in isolation because a day two scientists in isolation is just pointing out peaks or troughs trends. But how do you relate that to the underlying scientific phenomenon? So you you need experts in whatever the area you're looking at data to work with, data scientists to really reach that gap. >>Well, with all this data and all this performance, computing capacity and almost all its members will be fascinating to see what kind of insights come out in the next 10 years. Michael, thanks so much for coming on. The Cube is great to have you. >>Thank you very much. >>You're welcome. And thank you for watching. Everybody will be right back at Micron Insight 2019 from San Francisco. You're watching the Cube
SUMMARY :
Brought to you by Micron. Michael, good to see you again. So you're talking about HBC on a panel today? So I've come from the As you say, you're sitting on a panel talking about high performance computing and the impact on science. traditionally science of space around how you put equations into supercomputers. to gain insights from this massive data increase with seeing, you know, when we first started covering the 10th year, the Cuban So in 2010 if So it's just beyond the ability of the number merge, sort of collapsing down the traditional hierarchy you have, from storage to memory So it's the Gen Z. The hope of Gen Z is actually a memory fabric and the, you know, to gain insights into you know what medical pathway to go on for a where you think of somebody with stats and math and maybe a little bit of voting expertise and So you you need experts in whatever to see what kind of insights come out in the next 10 years. And thank you for watching.
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Shaji Kumar, Infosys & Chris Currier, CenturyLink | UiPath FORWARD III 2019
>>Live from Las Vegas. It's the cube covering UI path forward Americas 2019 brought to you by UI path. Welcome >>back everyone to the cubes live coverage of UI path forward. I'm your host, Rebecca Knight, coasting alongside of Dave Volante. We have two guests for the segment. We have Chris career. He is the senior director of service delivery at century link. Thanks so much for coming on the show. And Kumar, he is the client partner at Infosys. Thank you so much for joining us. So show G I'm going to start with you. We're hearing so much about this automation first era and when you are partnering with a company, we hear that automation first requires this real mindset shift. So I'm wondering if you could walk us through the process of when you are partnering with a company and you are saying we will help you add more automation to your work processes. How do you do it? How do you get the company to sort of adopt that mindset shift? >>So it is basically changing the mindset of the individual contributor. So the first thing is how do we make them adapt? Those changes into the organization and making sure that the learning experience and the Cuban experience are getting tased, are adapting by the individual contributor. That is more important for Infosys as a client partner to Centrelink. We are always striving for. >>So Chris, maybe talk a little about your role. Your title is, has service delivery in it. What does that, what does that mean? So we're, we're of course we're a telecommunications providers, so of course we sell our products, we have an extensive product portfolio. Uh, once it's sold, we have to fulfill those products. And that's what our service delivery comes in. Uh, everything from order entry all the way through to activation and delivery to the customer of the final solution of whatever it is they purchase from us. All right, let's get into it. So we just had Gardner on, they were saying, Hey, you know, there's a, there's a lot of things that can be cleaned up, cleaned up in there, >> a lot of things in there. Um, if you think about technology today, telecommunications, especially as a, as a industry, um, it's an industry of aggregation at this point. >>And it has been for a number of years. So with aggregation you, you end up with is um, I use kind of a phrase where we have an aim over the front door and that's the name of how we do business. Uh, that's, that's becomes a brand behind the front door. We're still operating as many of those individual companies still. So we're trying to stitch together in the background, the various networks, delivery options, products, et cetera, in a seamless way for our customers. So to do that, of course using automation becomes a very powerful tool for us right now to do everything that we would have to stitch together with human glue. Um, that's something that we have to deal with on a day in and day out basis. An area of the I focus on is ordering. I'm ordering in our space is highly manual. You're doing a lot of transcription, so to give sales the right tools so they can sell a, you give them a very elegant front end of the house. >>And many of the discussions we've had today, uh, have centered around the front of the house, looks very elegant and very smooth. And the back of the house is where a lot of the stitch together work happens. And that's where that automation comes into play. So partnering with somebody like a shadier, uh, trying to get onto the front end of how do we smooth those things out internally. Um, we're an operations organization. What we are always challenged with is how do we provide the service and product to our customers at an efficient price point. Um, people is a, is a margin drag at the end of the day. Um, but also we want our folks to be doing things that are more interesting. Uh, which is what automation is really about is that digital transformation and how do you transform your employees with you. Uh, and I'm definitely in an area where I have an opportunity there. >>And so that is, that is, that is what you, I've had this really selling, it's this idea that here are your, your employees who are doing these mundane tasks, these dreariness, this Drudge drudgery. And we are giving them an opportunity to do more of the creative work to use their brains. And more interesting and compelling ways. Shoji I mean is, is that the value props, I mean, how much are customers buying into that? I mean, is that, and is that immediate? Is it immediately clear to them, Oh, since I don't have to do that type of data entry anymore, I can now do this. I mean, is it obvious how you'll spend your, the rest of your time? >>So it is more about the analyzing the, what is happened in the history and making sure that how their data can be used and put it into the AI and making sure that how the automations can be revealed through that. That is a way to, you know, out of power we are making as a journey in central link as well, like in, along with the, the other telco organizations we are doing here. So specifically that is what, yea and automation we are specifically into making sure that how the customers can take advantage of the practice using the tools, like a UI path. >>So where's your expertise? automation, RPA, telecommunications, ordering, all of the above. So my ex >>is telecommunication. I have been with the telecommunication companies for about 25 years now. I'm majorly going through the raw from >>push button telephones to the era now it is standing up to fighting. So that's my, uh, expedience. You sound like an old man. Yeah. So Chris, when you do a business case for doing in RPA, I mean, I know a lot of CFOs and where's the hard dollars? You know, where are we going to save money? Well, we're going to, we're going to shift people from here to here and they going to do more productive work. Where's my hard dollars? Did you go through that or is it so blatantly where the potential >>is? Talk about the business case. It's not always a blatantly obvious, right? So when I'm building a business case, there's a number of things as an operations leader that I have to focus on, right? I own budget for my organization. So at the end of the day, I own making sure that I hit my budget targets for the business businesses. Always you're finding those, um, based on our opportunities in the marketplace, so forth. But I also have a lot of people that work for me. So part of the bigger area for me, and it's an area that I've spent a lot of time with consultants like shot to you on, is how do I transform my workforce? How do I bring them with me? How do I make it less scary for my employees? Because the first reaction, human reaction to employees who have been doing a function for so long, we heard it today about the cognitive changes, opening up your brain path, so on and so forth. >>Um, and the first reaction to them is going to be that shortest path to, Oh my God, I'm gonna lose my job and I have to then become a salesperson in addition to operations leader in addition to a budget manager to say, no, this is an opportunity for you to do something more interesting. You have that 20 years of experience in the industry. I want to use that knowledge in a different way. I want to open up some doors and career paths for you. Uh, so for me it's interesting and trying to break a sedentary workforce into a more dynamic workforce to initiate them into the digital age. When I write a business case, mostly what I'm looking at is very some of the it classical things. How do I save those dollars? What's my payback? What's my return on investment? More and more in the automation space, we're thinking much more customer first employee experience first. >>How do I provide the customer a better experience? How do I provide an employee a better experience? So the business cases have become a little bit more challenging, uh, cause you're also have offering some soft benefits, which is our employee experiences is a really big deal. Our customer's experience is going to be how we differentiate ourselves, uh, could be in the difference between the next sale and not making the next sale. So those have to get factored into the business cases and it becomes a bit, uh, art and science on how to quantify that. So there's a lot to unpack there. I want to start with kind of the, the, the sentiment of, Hey, I'm gonna lose my job. How did you deal with that, uh, with your team? Is it carrot stick combination so they can try it. I think a lot of it is first listening. >>Um, at least my style as a leader is to listen to what my people are saying first and then address it with as many facts as I possibly can. Right. Um, most folks think emotion first. Um, and, and you can end up in an adversarial type of situation there where you really don't want to be in an adversarial situation with your employees. You want your employees to support the change, the transformation that, that shift into a digital space. So for me, I have to listen to a lot first. And depending on who I'm listening to, I'm getting a very different story. I have employees from millennials to baby boomers. So as a result, each one of them were coming from a very different place, a carrot versus stick. Interesting concept because from a carrot perspective, the companies getting the care that the employee may not necessarily see that at first where we're saying, Hey, we want you to do more interesting work. >>But to them, they feel it. It's more of a stick at first. Uh, so it's interesting. Um, in my space it's been a, I've consulted with, with other folks, I've talked to a lot of my peer leaders, um, seeking a lot of advice on how do we navigate this cause we're cutting a new path as leaders. Um, I'm more akin to a baby boomer and a Jenner in, you know, a gen X type of a person. That's who I came up under an industry. So I have to temper my own thinking. Um, so it's interesting because for instance, I looked at my people managers and maybe it's a little bit more stick with my people managers where it's very much of a, gives me ideas. How do we crowdsource that, that information, our employees are going to be the best source of our, of our ideas for automating. >>What do we automate? How do we automate the things that they really disliked doing first? Right? So you're kind of giving them a carrot with, you're giving them a little bit of quick wins. We've heard about that today as well. Um, but then it becomes a matter of what about the individual contributor developer, right? How do I take somebody today who hasn't maybe been retooled from a career perspective in many, many years and give them the ability to say, no, you're not a programmer but you can automate things and UI path gives us some of those tools to do that with the purveyors of RPA would ha would tell you that people actually love it because it's taking away that undifferentiated heavy lifting. Once they get a taste for it and they can do other things, frees up time. Having said that, they may be really good at entering data into a form. >>They may not be good at doing other strategic things, so there's gotta be some kind of retraining exercise to. My question is, are you seeing either specifically at century link or broadly in the industry some kind of notion of gain share? In other words, if you're going to save this much time slash money and your business case, we'll give you back a portion, I don't know, 30% 50% whatever, so that you can retrain people. You can actually advance their careers. So you see you having conversations like that or is it actually where I think we're having conversations akin to that. Not necessarily have that conversation. Um, conversations that I'm having are more of the nature of, you know, chicken and the egg kind of a thing. When it comes automation, you're under budgetary pressures. How do you take out your employee, retool them and train them on how to automate something using UI pads, tool suite, um, and then re-invest that same knowledge, right? >>Because if you automate something, you free up somebody else you can train to do more automation. Um, a lot of our, our employees who are first adopters, if you will, the willing hands that are going up. Some are millennials, some are many other generations. Um, but it's, it's been there very interesting because it's very powerful for those who have learned the tools and is very powerful and a peer to peer solicitation of, look what I can do for you. We've been complaining about this manual step for 20 years. How come it, we're still having to do it. So it the becomes a bit of a self fulfilling prophecy, right? You get those who evangelize it based on learning the new technology and then they train into their peers. Um, retooling employees is something that you brought up or at least that's what a little bit of what I heard. >>Um, you know, many areas, Hey, I've been doing data entry for a long time. What else am I good at? And a lot of that just becomes creativity. Who else? Who do you interact with the most? Who are the employees or who are the customers, who are the sales organizations, et cetera, where you end up, they know your name, they're going to call you because you know that answer. Well guess what? You're a knowledge base for them. And that often becomes where I ended up retooling and re shifting employees. They see new opportunities that they never seen before. One of the most interesting things I think I hear constantly is I never expected to be in sales, uh, from an operations type of person. They always think of a salesman as that salesperson kind of personality. And they don't see themselves in it, but they never think of themselves as sales support, which is that, that's what they end up becoming. Um, and they always were to begin with. They just never thought of themselves that way. So we're moving a lot more of my customers or my employees, if you will, closer to the customer than they ever saw in themselves. And RPA is enabling that. So that's, that's kind of a, a knowledge revolution. It's a self actualization change. It becomes a skill add that they never thought they had. Um, they're all interesting concepts, but they all, you know, I'm learning something new every day as a leader. >>Well, and you're bringing up so many interesting points that, that what this revolution actually means for people's careers. I mean, the really the re rebooting of work and really changing how we spend our time at the office and changing what we do during the course of our day is shadier. I mean he, he, Chris has been talking about how people are now closer to the customer and therefore the human, the soft skills are becoming increasingly important. So how are you helping companies think through those challenges to make sure that their people do have the appropriate skills? And as Chris said, it can be the difference of not making a sale versus making a sale. >>So it is about, uh, it's about learning. Learning can make, uh, the people transform as well as the company's transformed. So while we are adopting technology, we needed to ensure that how do we ensure the learning platforms are brought in to ensure the, that is part of their curriculum. Like what we have done in four school or colleges in the organization, make it live enterprise for the every organization to move into a live organization. It is always about learning. So what emphasis does is about, it's about the knowledge, what we carry. So we have created platforms like legs for internal to our organization. And wingspan is an AR is an external customized version for all of our external customers that is plugging into all the transformation programs. What we do to ensure that the learning is Paladin for the transformation, why you are path, you look it up. >>There's um, um, we have looked at, looked at others and I think in my career you're always going to have multiple partners. Um, so when it comes to the UI path, it's one of those UI path invested very early. You know, they wanted to be that partner. I think today part of the message we heard, uh, from some of the UI path executives were that, uh, we want to be humble. Um, and therefore it's not always about, Hey, how do I win this dollar so much as I, how do I educate on technology? Um, and how do we help you transform and pull you forward to a certain degree. Um, so I think UI path has a lot of, um, very human possibilities and human traits and how it, it educates its clients. >>Judge generally just a question as a, as a buyer and a practitioner, if you have a choice between best of breed, um, and you know, a suite, right? Let's say, I don't know if you're an ERP customer, but some ERP vendor all of a sudden bolts, you know, RPA on to their solution. How do you decide the convenience of Oh yeah. All in one versus the best of breed? >>Um, I think it depends on the size of your firm because throughout my career I've seen many different answers to the same question. Um, shadier is probably had a relationship with me for a number of years, uh, in various forms if you will, as a consultant and a partner. Um, what he often hears from me is both I'm gonna do both. Um, because some way I'm going to learn something from each of those engagements. So more often than not, the answer is you do a lot. You do both. You don't just pick a single partner. Um, the smaller you are, the more likely you are to do a single partner. The larger you are, the less likely you are to do a single partner. Diversity is a good thing. And so was competition >>where it's still live by Chris shot. Thank you so much for coming on the Kiva. Great conversation. That's going. Sorry. I'm Rebecca Knight for Dave Volante. Stay tuned for more of the cubes live coverage of UI path forward.
SUMMARY :
forward Americas 2019 brought to you by UI path. So show G I'm going to start with you. So it is basically changing the mindset of the individual contributor. So we just had Gardner on, they were saying, Hey, you know, there's a, Um, if you think about technology today, telecommunications, especially as a, so to give sales the right tools so they can sell a, you give them a very elegant front end of the house. And the back of the house is where a lot of the stitch together work is, is that the value props, I mean, how much are customers buying into that? So it is more about the analyzing the, what is happened in the history and So where's your expertise? I have been with the telecommunication companies for about 25 years So Chris, when you do a business case for doing in RPA, So at the end of the day, I own making sure that I hit my budget targets for the business businesses. Um, and the first reaction to them is going to be that shortest path to, Oh my God, I'm gonna lose my job and So the business cases have become a little bit more challenging, uh, cause you're also have offering Um, at least my style as a leader is to listen to what my people are saying first and So I have to temper my own thinking. of those tools to do that with the purveyors of RPA would ha would tell you that people Um, conversations that I'm having are more of the nature of, Um, a lot of our, our employees who are first adopters, if you will, So we're moving a lot more of my customers or my employees, if you will, closer to the customer So how are you helping companies think through those challenges to make sure that learning is Paladin for the transformation, why you are path, you look it up. Um, and how do we help you transform and pull you forward to a certain degree. How do you decide the So more often than not, the answer is you do a lot. Thank you so much for coming on the Kiva.
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Julie Johnson, Armored Things | MIT CDOIQ 2019
>> From Cambridge Massachusetts, it's The Cube covering MIT Chief Data Officer, and Information Quality Symposium 2019. Brought to you by SiliconANGLE Media. (electronic music) >> Welcome back to MIT in Cambridge, Massachusets everybody. You're watching The Cube, the leader in live tech coverage. My name is Dave Vellante I'm here with Paul Gillin. Day two of the of the MIT Chief Data Officer Information Quality Conference. One of the things we like to do, at these shows, we love to profile Boston area start-ups that are focused on data, and in particular we love to focus on start-ups that are founded by women. Julie Johnson is here, She's the Co-founder and CEO of Armored Things. Julie, great to see you again. Thanks for coming on. >> Great to see you. >> So why did you start Armored Things? >> You know, Armored Things was created around a mission to keep people safe. Early in the time where were looking at starting this company, incidents like Las Vegas happened, Parkland happened, and we realized that the world of security and operations was really stuck in the past right? It's a manual solutions generally driven by a human instinct, anecdotal evidence, and tools like Walkie-Talkies and video cameras. We knew there had to be a better way right? In the world of Data that we live in today, I would ask if either of you got in your car this morning without turning on Google Maps to see where you were going, and the best route with traffic. We want to help universities, ball parks, corporate campuses do that for people. How do we keep our people safe? By understanding how they live. >> Yeah, and stay away from Lambert Street in Cambridge by the way. >> (laughing) >> Okay so, you know in people, when they think about security they think about cyber, they think about virtual security, et cetera et cetera, but there's also the physical security aspect. Can you talk about the balance of those two? >> Yeah, and I think both are very important. We actually tend to mimic some of the revolutions that have happened on the cyber security side over the last 10 years with what we're trying to do in the world of physical security. So, folks watching this who are familiar with cyber security might understand concepts like anomaly detection, SIEM and SOAR for orchestrated response. We very much believe that similar concepts can be applied to the physical world, but the unique thing about the physical world, is that it has defined boundaries, right? People behave in accordance with their environment. So, how do we take the lessons learned in cyber security over 10 to 15 years, and apply them to that physical world? I also believe that physical and cyber security are converging. So, are there things that we know in the physical world because of how we approach the problem? That can be a leading indicator of a threat in either the physical world or the digital world. What many people don't understand is that for some of these cyber security hacks, the first weak link is physical access to your network, to your data, to your systems. How do we actually help you get an eye on that, so you already have some context when you notice it in the digital realm. >> So, go back to the two examples you sited earlier, the two shooting examples. Could those have been prevented or mitigated in some way using the type of technology you're building? >> Yeah, I hate to say that you could ever prevent an incident like that. Everyone wants us to do better. Our goal is to get a better sense predicatively of the leading indicators that tell you you have a problem. So, because we're fundamentally looking at patterns of people and flow, I want to know when a normal random environment starts to disperse in a certain way, or if I have a bottle neck in my environment. Because if then I have that type of incident occur, I already know where my hotspots are, where my pockets of risk are. So, I can address it that much more efficiently from a response perspective. >> So if people are moving quickly away from a venue, it might be and indication that there's something wrong- >> It could be, Yeah. That demands attention. >> Yeah, when you go to a baseball game, or when you go to work I would imagine that you generally have a certain pattern of behavior. People know conceptually what those patterns are. But, we're the first effort to bring them data to prove what those patterns are so that they can actually use that data to consistently re-examine their operations, re-examine their security from a staffing perspective, from a management perspective, to make sure that they're using all the data that's at their disposal. >> Seems like there would be many other applications beyond security of this type of analysis. Are you committed to the security space, or do you have broader ambitions? >> Are we committed to the security space is a hundred percent. I would say the number one reason why people join our team, and the number one reason why people call us to be customers is for security. There's a better way to do things. We fundamentally believe that every ball park, every university, every corporate campus, needs a better way. I think what we've seen though is exactly what you're saying. As we built our software, for security in these venues, and started with an understanding of people and flow, there's a lot that falls out of that right? How do I open gates that are more effective based on patterns of entry and exit. How do I make sure that my staffing's appropriate for the number of people I have in my environment. There's lots of other contextual information that can ultimately drive a bottom line or top line revenue. So, you take a pro sports venue for example. If we know that on a 10 degree colder day people tend to eagres more early in the game, how do we adjust our food and beverage strategy to save money on hourly workers, so that we're not over staffing in a period of time that doesn't need those resources. >> She's talking about the physical and the logical security worlds coming together, and security of course has always been about data, but 10 years ago it was staring at logs increasing the machines are helping us do that, and software is helping us do that. So can you add some color to at least the trends in the market generally, and then maybe specifically what you're doing bringing machine intelligence to the data to make us more secure. >> Sure, and I hate to break it to you, but logs are still a pretty big part of what people are watching on a daily basis, as are video cameras. We've seen a lot of great technology evolve in the video management system realm. Very advanced technology great at object recognition and detecting certain behaviors with a video only solution, right? How do we help pinpoint certain behaviors on a specific frame or specific camera. The only problem with that is, if you have people watching those cameras, you're still relying on humans in the loop to catch a malicious behavior, to respond in the event that they're notified about something unusual. That still becomes a manual process. What we do, is we use data to watch not only cameras, but we are watching your cameras, your Wi-Fi, access control. Contextual data from public transit, or weather. How do we get this greater understanding of your environment that helps us watch everything so that we can surface the things that you want the humans in the loop to pay attention to, right? So, we're not trying to remove the human, we're trying to help them focus their time and make decisions that are backed by data in the most efficient way possible. >> How about the concerns about The Surveillance Society? In some countries, it's just taken for granted now that you're on camera all the time. In the US that's a little bit more controversial. Is what your doing, do you have to be sensitive to that in designing the tools you're building? >> Yeah, and I think to Dave's question, there are solutions like facial recognition which are very much working on identifying the individual. We have a philosophy as a company, that security doesn't necessarily start with the individual, it starts with the aggregate. How do we understand at an aggregate macro level, the patterns in an environment. Which means I don't have to identify Paul, or I don't have to identify Dave. I want to look for what's usual and unusual, and use that as the basis of my response. There's certain instances where you want to know who people are. Do I want to know who my security personnel are so I can dispatch them more efficiently? Absolutely. Let's opt those people in and allow them to share the information they need to share to be better resources for our environment. But, that's the exception not the norm. If we make the norm privacy first, I think we'll be really successful in this emerging GDPR data centric world. >> But I could see somebody down the road saying hey can you help us find this bad guy? And my kids at camp this week, This is his 7th year of camp, and this year was the first year my wife, she was able to sign up for a facial recognition thing. So, we used to have to scroll through hundreds and hundreds of pictures to see oh, there he is! And so Deb signs up for this thing, and then it pings you when your son has a picture taken. >> Yeah. And I was like, That's awesome. Oh. (laughing) >> That's great until you think about it. >> But there aren't really any clear privacy laws today. And so you guys are saying, look it, we're looking at the big picture. >> That's right. >> But that day is coming isn't it? >> There's certain environments that care more than others. If you think about universities, which is where we first started building our technology, they cared greatly about the privacy of their students. Health care is a great example. We want to make sure that we're protecting peoples personal data at a different level. Not only because that's the right thing to do, but also from a regulatory perspective. So, how do we give them the same security without compromising the privacy. >> Talk about Bottom line. You mentioned to us earlier that you just signed a contract with a sports franchise, you're actually going to help them, help save them money by deploying their resources more efficiently. How does your technology help the bottom line? >> Sure, you're average sporting venue, is getting great information at the point a ticket is scanned or a ticket is purchased, they have very little visibility beyond that into the customer journey during an event at their venue. So, if you think about again, patterns of people and flow from a security perspective, at our core we're helping them staff the right gates, or figure out where people need to be based on hot spots in their environment. But, what that also results in is an ability to drive other operational benefits. Do we have a zone that's very low utilization that we could use as maybe even a benefit to our avid fans. Send them to that area, get traffic in that area, and now give them a better concession experience because of it, right? Where they're going to end up spending more money because they're not waiting in line in the different zone. So, how do we give them a dashboard in real time, but also alerts or reports that they can use on an ongoing basis to change their decision making going forward. >> So, give us the company overview. Where are you guys at with funding, head count, all that good stuff. >> So, we raised a seed round with some great Boston and Silicon Valley investors a year ago. So, that was Glasswing is a Boston AI focused fund, has been a great partner for us, and Inovia which is Canada's largest VC fund recently opened a Silicon Valley office. We just started raising a series A about a week ago. I'm excited to say those conversation have been going really well so far. We have some potential strategic partners who we're excited about who know data better then anyone else that we think would help us accelerate our business. We also have a few folks who are very familiar with the large venue space. You know, the distributed campuses, the sporting and entertainment venues. So, we're out looking for the right partner to lead our series A round, and take our business to the next level, but where we are today with five really great branded customers, I think we'll have 20 by the end of next year, and we won't stop fighting 'till we're at every ball park, every football stadium, every convention center, school. >> The big question, at some point will you be able to eliminate security lines? (laughing) >> I don't think that's my core mission. (laughing) But, optimistically I'd love to help you. Right, I think there's some very talented people working on that challenge, so I'll defer that one to them. >> And rough head count today? >> We have 23 people. >> You're 23 people so- >> Yeah, I headquartered in Boston Post Office Square. >> Awesome, great location. So, and you say you've got five customers, so you're generating revenue? >> Yes >> Okay, good. Well, thank you for coming in The Cube >> Yeah, thank you. >> And best of luck with the series A- >> I appreciate it and going forward >> Yeah, great. >> All right, and thank you for watching. Paul Gillin and I will be back right after this short break. This is The Cube from MIT Chief Data Officer Information Quality Conference in Cambridge. We'll be right back. (electronic music)
SUMMARY :
Brought to you by SiliconANGLE Media. Julie, great to see you again. to see where you were going, in Cambridge by the way. Okay so, you know in people, How do we actually help you get an eye on that, So, go back to the two examples you sited earlier, Yeah, I hate to say that you could ever prevent That demands attention. data to prove what those patterns are or do you have broader ambitions? and the number one reason why people bringing machine intelligence to the data Sure, and I hate to break it to you, sensitive to that in designing the tools you're building? Yeah, and I think to Dave's question, and then it pings you when your son And I was like, That's awesome. And so you guys are saying, Not only because that's the right thing to do, You mentioned to us earlier that you So, if you think about again, Where are you guys at with funding, head count, and take our business to the next level, so I'll defer that one to them. So, and you say you've got five customers, Well, thank you for coming in The Cube All right, and thank you for watching.
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David Chang, HelloSign, a Dropbox Company | Coupa Insp!re19
>> from the Cosmopolitan Hotel in Las Vegas, Nevada. It's the Cube covering Cooper inspired. 2019. Brought to you by Cooper. >> Welcome to the Cube. Lisa Martin on the ground at Cooper Inspire 19 at the Cosmopolitan, the chic Cosmopolitan in Las Vegas. Very pleased to be joined by my friend David Chang, the VP of business from Hello. Sign a drop box company. David, Welcome to the Cube. >> Thank you for having me on. >> Great to have you here. It is a lot of fun. You could really geek out talking technology all day >> too much. So, >> yeah, there's that >> play that you gotta gamble. It'll keep it real. >> You know, I have no skills in that whatsoever, but maybe I'll try it. I'll take your advice. Give her audience an overview of Hello. Sign. Sure. Drop box Company. What? You guys are what you do. All that good stuff. >> Great. Great. So hello. Sign is today one of the fastest growing, if not the fastest growing electronic signature company in market place today and today we host, I think, over 100,000 paying businesses that use one of our products and over 150 different countries. today we actually were acquired by Dropbox. Sure, everybody's familiar Dropbox or one of the biggest brands in the Internet industry today by the leader in consumer and business files Thinking chair. So John Box actually purchased this, you know, for a number of reasons. First of all, even amazing product and cultural fit with them. But also, Electronic Signature Day is an enormous market. It is one piece of the overall digital transformation, but Elektronik, six year alone, analysts view, is probably a $25,000,000,000 industry, which we've only barely scratched the surface. So it's a huge opportunity, absolutely, and it's that big. That's exactly the you know. That's actually what's shocking about how big it is, because if you think about almost in every business, there are not just one, but probably dozens of different use cases where you need to sign documents. So electronic signature honestly is relevant for everything from all your sales agreements to all of your HR and offer letter and on boarding agreement. It's relevant specifically for all of your procurement and buying agreements, all your vendors contracts that need to be signed, your supply agreements that needs to be signed and D A s o purchase orders. All these documents need to be signed. And today you know, only a few of these use cases have been brought into the digital arena. So there's a whole huge area to grow. And with Dropbox being a leader and content management, where you normally store your documents, >> right, it's >> a natural workflow extension two haven't signed by. Hello, son. >> Excellent. Well, one of the things that we've been talking a lot about we talk about this in every show is the effects of consumer is Asian. And we talked about this yesterday with Rob Bernstein, Cooper's CEO in a number of gas yesterday and today is that we're consumers every day, even when we're at work. Oh, I forgot. I gotta buy this when we go on Amazon, we know we could get it in a day, but now we have the same expectations whether we're buying business, you know, software or what not? And we also want to be able to do things from our mobile phone, including sign. Hey, I got this new job offer or whatever happens to be without having out. Oh my God, there's a pdf. I have to go home, get to my desktop, talk to me about PDS because I can imagine when people either fill them out manually, then they scanning back in and somebody's gotta print it out or fax it. That date is stuck in Pdf. How does hello sign work to free dot data in a Pierre? >> Sure, our design philosophy really is about, you know, make making a superior user experience both for the person who needs to get a document, a document side, but also somebody who's actually gonna be signing it. So when we designed our products, you might as easy as possible for user's to sign that and recognizing some of the difficulties with P D EFS and signing on your mobile phone. We've made our products specifically Mobley responsive, so they don't have to pension, screen, pension, pension scan and all that kind of stuff and typing data. We make it very easy walking through the data entry process to streamline the whole process. We just want to make user customer satisfaction first and foremost >> moving the friction, probably getting documents signed much faster. >> Absolutely. I mean the base, you know, benefits associated the signature. Overall you know, our honestly getting your documents signed significantly faster and more efficiently. We have customers that used to take up to two weeks to get a contract signed. And, you know, as a salesperson, that gets your real nervous, right? So we've seen those contracts now get signed in less than a day. Also, Elektronik senator provides a tonic transparency. So throughout the process, we can actually provide notifications that let the sales people know that somebody's opened up the the >> end. Lt >> looked at the document, reviewed it, signed it, completed it. And even if the document has been signed, the consent of reminders to make sure to sign it. And the third thing is, you know you can't can't emphasize this enough. The value associate with productivity increases. Come on. Everyone's gone out. Printed out the document, walked it over to the scanning machine, you know, then uploading it back in your computer, you know that that whole step, you know, should be completely digital and automated as >> much as >> possible. So we see productivity increases to some of our customers between two x three x for X right in the number in reducing the number of man hours people have to spend to get >> documents only. Is that a cost savings? But all of the you can think of all the other benefits like we're talking about, even for the procurement officers were talking about it at Kuba inspires. It's not just saving money. It's all of the other ripple effects that cost savings, resource, reallocations, speed. All enable this digital transformation, which then enables the business Thio capture new customers. Increased customer, lifetime value, shareholder value. There's a lot of upside to this, >> especially for a company like Cooper. First of all, it's an incredible fit for what we do. Procurement documents. That whole host, um, they need to be signed but by, you know, utilizing Hello, son. We really facilitate that whole experience, and we're very excited to expand our partnership today. We're Cooper Advantage partner. >> Tell me about the Cooper Advantage program benefits. Who wins your >> coop? Advantage is this very unique marketplace that Cooper's brought together. They're pulling together both their customers, some of their lead customers and their matching them with some of the suppliers selected suppliers that provide their customers. Ah, whole host of service is that they need so it could be everything from goods and office supplies. All the way to service is like travel service is, and staffing service is all the way to software key software that their customers would utilize in conjunction with their procurement business. Spend management So companies like close on. So by matchmaking it for the suppliers, they get some pre negotiated discounts that offer them immediate savings off of buying direct from retail and then from ah, supplier side. We get huge benefits because we get to meet some of the most targeted companies that we want. So Cooper effectively is one of our favorite matchmakers. >> Nice. So, yeah, there's a tremendous amount of suppliers in their program. I forget the number and I don't want to misquote it. But I can imagine Cooper customer that's using them for procurement and expenses and invoices and payments. I talked a lot about Cooper pains of new things today. Well, then have the opportunity through the Cooper Advantage program to do prick human contract Scorpios with Hello sign as the e signature. >> Exactly, really, exactly. And that that is, like I said, a great match for what their customers need and by being virtue of a coupe advantage part. Sorry. Keep advantage Supplier. We've been pre vetted by Cooper have also worked out some special pre negotiated discounts with Cooper to make sure we passed that value on to their customers. >> So some of the things that came out today regarding yesterday as well with the Amazon extension you and I talked about the consumer ization affect a few minutes ago. What opportunities is that? Open up to Hello, sign for Cooper paid to be able to enable I t folks to have this visibility for the entire software from search to management. With this consume arised approach, open up doors for Hello Sign. >> Well, I think you know, if you look at the total life cycle of any purchase right from from beginning to end from everything from identifying the products that you want to being able to, you know, negotiate and secure a price that is good for you, you know that whole process. There's always tradition, but a lot of friction there. So the same way that there's friction on the e commerce side, we'll check out and purchase right and getting lining up your payment and Internet payment information Cooper. Streamlining that whole thing for the customer so long without sod is if there's documents they're associated with that with that workflow than by using companies like Hello Sign and our products were able to continue that process of digital izing the end and purchase cycle. >> And I imagine, from an information security perspective, everything >> Come on the old >> days usedto signed >> a contract and I thought, Oh, my boss's desk, Anybody could come by and pick that up So nowadays we you know nowadays we keep it stored securely in the cloud. We have some of the highest security requirements of any signature company out there, and that really matches Cupid's philosophy as well. They go overboard on security, which we really appreciate. That mission is completely lard with each other. >> Awesome. So last few seconds here. I know that you guys are early in the acquisition with Dropbox. What's exciting You for the rest of the calendar. 19. Since all these fiscal years are different. And what's next with you guys in Cuba? Yeah, >> So first of all, with Dropbox, we're just excited to be part of an enormous community of over 500,000,000 users globally So it's It's It's the reach is insane. >> I know >> my mom. Yeah, I think everybody has a DROPBOX account on >> eso getting introduced to their segments, whether it's a consumer segment, SMB and increasingly, the business segment offers huge brand recognition and the potential for new customers with Dropbox. So there's a great synergy from a go to market perspective, and with Cooper, we're very excited about the next stage of our partnership is entering the Cooper Link program. So, uh, you know said Now Cooper customers will be able to sign and send for signature from within the Cooper clr module. Eso any of their contracts vendor agreements that are stored within Cooper without ever having to leave Cooper. You consent for signature and seek the document back. And for a company like Cooper, this is a great strategic value. A because of the benefit it brings its customers, but also with all the great features that Cooper's coming out with leading edge. They want to keep a cz much of that procurement experience from within Cooper. They want Cooper to be that system of record per se and system of transaction for all your business. Ben Management So now you don't have to leave Cooper to perform to get your contract signed. You can do it from all within one place within Cooper, and we enable that. >> That's awesome. That's that's what we want. Keep him. In the experience of that, they actually adopted. They get it done. They're more efficient and and and well, David, it's been such a pleasure to >> have you on >> the Cube. Thank you for joining me today. >> Thanks, Lisa. >> All right, we'll see you next. Time for David Chang. I'm Lisa Martin. You're watching the Cube from Cooper Inspired 19. Thanks for watching.
SUMMARY :
Brought to you by Cooper. the chic Cosmopolitan in Las Vegas. Great to have you here. So, play that you gotta gamble. You guys are what you do. That's exactly the you know. a natural workflow extension two haven't signed by. Well, one of the things that we've been talking a lot about we talk about this in every show is Sure, our design philosophy really is about, you know, make making a superior user experience I mean the base, you know, benefits associated the signature. And the third thing is, you know you can't can't emphasize right in the number in reducing the number of man hours people have to spend to get But all of the you can think of all the other benefits like we're you know, utilizing Hello, son. Tell me about the Cooper Advantage program benefits. and staffing service is all the way to software key software that their customers would utilize in I forget the number and I don't want And that that is, like I said, a great match for what their customers So some of the things that came out today regarding yesterday end from everything from identifying the products that you want to being able to, We have some of the highest security And what's next with you guys in Cuba? So first of all, with Dropbox, we're just excited to be part of an enormous community of over Yeah, I think everybody has a DROPBOX account on A because of the benefit it brings its customers, but also with all the great features that Cooper's coming In the experience of that, they actually adopted. All right, we'll see you next.
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Kent Christensen, Insight | Cisco Live US 2019
(upbeat music) >> Male Voiceover: Live, from San Diego, California it's theCUBE covering Cisco Live US 2019 brought to you by Cisco and its ecosystem partners. >> Hey welcome back to theCUBE Lisa Martin with Stu Miniman. We are day one of our coverage of Cisco Live from San Diego. We're going to be here for three days of coverage but a great day so far and we're pleased to welcome back one of our CUBE alumni Kent Christensen the Practice Director from Insight with the Cloud & Data Center at Transformation Group. Kent, welcome back! >> Thank you. It's been a little while. >> It has been a little while. So give our audience a little overview of Insight your partnership with Cisco and some of the history of how you got to Insight. >> Yeah so you remember us as Data Link we were a smaller company than we are now. Focusing on Cloud and data center transformation. We've talked at Dell events, CFC events things like that. But we were a Cisco partner for about 10 years and recently we were acquired and we did what the name sounds like, Cloud and data center transformation. We've talked about Cloud on the channel and all these other things. Insight acquired us. Insight has kind of four major service solution sets if you would. Some people look at them as a supply chain company and it's a great, large supply chain company. Microsoft's largest global partner. Some people understand it for the device and use the devices that's called Connective Workforce. Each of these are pretty big businesses you know, compared to where we are. What was Data Link is now what's called Cloud and Data Center Transformation. So we're helping people with the journey to the Cloud and the Hybrid Cloud and all that other stuff. And Cisco is right dead center in the middle of that and then the fourth one is really exciting. It's called Data and Digital Innovation and that's a couple of companies. Blue Metal, Cardinal etc. Again, a thousand people. Microsoft ILT and AI partner of the year. So all of that is a pretty large channel organization if you would. >> That's great stuff Kent. We love to talk to the channel as the folks in Wall Street do. It like you know, we do a channel check. Okay, You know, Cisco's got a few areas that have you know, stronger growth in the market over all. Security's doing well, a few other spaces on that are you know growing faster over all than the market and helping >> Kent: Absolutely >> grow where Cisco's going, so give us the reality. What's happening with your customers? What's driving you know the most growth in your business and you know, where is Cisco kind of leading the pack? >> So we're doing really well with Cisco and I don't know if it's because we're helping clients build solutions that truly lead to business outcomes. We're not order takers. So we're actually moving up we're now Cisco's fourth largest partner. We're growing well high single digits growth which is pretty phenomenal on such a big number. We're talking a billion dollars now in growing that level and there's a number of reasons. You know, some of it is there's a lot of great technology we can get into some of those. We see the economy as being pretty good not bad yet. You know everybody's worried about what might happen. You mentioned security, we can get into a little bit of that. That's driving a lot of network refresh and stuff like that. You know and a little bit of intra-company you know that word getting our stuff together so this large company with 15000 customers acquires a company with 2000 customers and now we're getting introduced into the 15000 with less friction. So that's helping us and that's helping our Cisco Business. >> Lisa: See here we are at Cisco Live. The thirtieth time that they had done a customer partner event. The network has not only changed dramatically since their first event in '89 which was called Networkers I believe. >> KENT: Yeah. >> But networking technology has also massively changed you mentioned security. And now in this multi-cloud world no longer can you just put a firewall around a data center right? Obviously that doesn't work. We have this core Cloud edge very amorphous environments. Proliferation of mobile, of mobile data traversing the networks. Talk to us about when you're talking with customers who need to transform their data centers where do you start from a networking conversation perspective? Where automation comes in, where security comes in? >> You know, a lot of the Cloud native transformation tends to be the edge of the network. You know conversion, infrastructure, stuff like that that's on the edge. The network security guys which I'm not, you know, I work with them very closely but we almost separate ourselves out from a data center networking and security. But security's end to end to your point, right? I've got software to find access. I've got mobile access points. I've got you know, Tetration. I've got all of these products that are helping people that in the past they were just patching holes in the dyke. You know, hey this happened let's put this software product in. This happened, let's put this in. We actually built a security practice like the last 3 or 4 years ago, it's growing. You know the number of people that are, whether it's regulation, compliance, you know. "I got some real problem. I think I've got a problem and I don't know what it is." Our ability to come back and sit down and say let's evaluate what your situation is. So I was talking to the networking guys and said wow. Enterprise networking's up, way up. What's driving that, the need to transform or is that, you know what is it? And they're like a lot of times it's something along security that's making them step back and re-evaluate and then sometimes that translates into an entire network refresh. >> Stu: So Kent you mentioned Cisco Tetration and that's one I've heard a number of times having some growth. What else, what are some of the you know hot products out there in your customer base? >> ISE, Software to Find, SD Wan, SD Access. >> Stu: Yeah, so one of the things I just want to understand Cisco actually has a few solutions in some of those areas. Any specific products that you call out or you know or that'd be mentioned? >> Kent: In the enterprise networking I wouldn't go through each and every individual one. I think, this is my view as the laymen right? 'Cause I'm the data center guy and here's the security guy and here's the networking guy. I think when Cisco started acquiring all these security companies 3 years ago and you know watched it and it looked like a patchwork quilt and said this stuff doesn't fit together? Now it fits together that story is really solid. And so we've got clients that had the luxury of either saying I'm going to do a refresh because I don't want to keep plugging holes and maybe my technology was ready for it anyway. And there's a lot of reasons to refresh right? My technology's due. Digital transformation, I need to get my network ready for IoT etc. But I keep hearing security over and over right? I've got compliance and regulations and all of this other stuff. >> Yeah but in your core space the data center world and any products that are kind of leading the charge right now? >> You know one of the things that's happening in data center from a Cisco perspective 'cause they're babies right? Ten years old in data center. They didn't really have data center before that. And we were there at the beginning and that's really how CDCT built our data center practice so you know when you talk multi-cloud at the end of the day even if I'm Cloud first I'm going to end up with some of these mission-critical workloads. They might be boring but they're running the company. They're not the innovative Dev-Ops, IoT, AI thing that seems cool. They're running the company and that's still a converged or a hyper-converged play. And some of those you know there's a lot of opportunities we've been talking about all day with the Cisco BU's. Some of those are ready for refresh right so there's a great opportunity to just to go in and say okay what's next? You know, we've added you know the latest server technology. We've added all these things in the server technology. Obviously all flash and the storage technologies and all of that so that's huge. And then you know Cisco continues to innovate in data center solutions with things like HyperFlex which we've talked a little bit about. And it started off a little slow because again just like they were in servers why are they here? Why are they in hyper-converge? So I get it. And now that product is fully improved and improved and improved and we're seeing tremendous growth there and I think the luxury they have on a data center solution is that some of the other guys have to do a or. "Hey, I'm the leading hyper-converge technology but it's me or everybody else." Right? And then Cisco's an end that I can connect those things together. >> So let's talk about some customer examples you can feel free to anonymize these. I'm seeing a smile on your face. When you come into an organization whether it's a 100 year old bank or it's a born of the Cloud or maybe a smaller more nimble organization that needs to undergo transformation data center transformation. What is the conversation like with respect to helping them take all of these disparate presumably disparate solutions? Whether they're 10-15 different security solutions. How does Insight come in and help them I don't want to say integrate but almost plug these things in together to extract value and help them make sure that what they're implementing from a technology perspective is necessary and also an accelerator of their business? >> Yeah, there's a lot there. So we have this... A year ago everybody wanted to talk about Cloud and then you had the security guys but now you have a lot of change agents with transformation in their title right? And so we have this belief. You're not going to digitally transform. Now there are people that are born digital but companies that were buying Cisco 10 years ago need to go through a digital transformation and you can't go through a digital transformation until you have a data center transformation or an IT transformation. So we've done studies. What slows people down? What makes these fail? Legacy stuff, security concerns I mean these are the top 3 things right. Budget. I was just running the company. And so we start there. Where do you want to get to? And then most of it is let's understand what you have. What your objectives are as an organization. "I want to get to this. I want to get to that." Well before we start talking about technologies. It's very, it's very services oriented. I can't just go in there and throw you a bomb and say this is going to fix your problem 'cause everybody's different. So it is very custom and very services oriented. >> Lisa: But you're saying... >> Stu: I was just going to say it's a pattern I've seen quite a bit for the last couple of years. Step 1 is modernize the platform and then step 2 you can worry about your data and application story on top of that in that multi-cloud world that you live in. >> And step 1 admit you have a problem. >> Yeah. >> (Lisa laughs) >> So we actually did a study you know we do this and we're like. Why does everybody keep stalling why have we been stuck in this nobody's refreshing things and stuff like that? Well there's a lot of new technology they don't get it. But you know do you want to digitally transform? Understand what you need to do. But we ask questions like rate your IT infrastructure just rate it B-minus. Across a lot of large companies that was the grade they gave themselves. So there's a lot of opportunity to say: Okay where do you want to be and where do we start? >> Yeah, 90 percent of people think they are above average drivers. So... >> Drivers? But they think they have a B-Minus in IT infrastructure and it's like Do you consider that a problem? >> Yeah. >> So once you as we wrap here in the next minute or so. Once you get them to admit yeah there's problems here that Insight and other partners come in and improve. Data center transformation, modernizing that infrastructure but it's got to be concurrent with starting to modernize and transform other areas right? >> Absolutely. So you know there's so many places you could start. Sometimes you just go and say well what's your appetite? Every once in a while you get somebody who's ready to go through an entire transformational process. You know 20 million dollars or more of whatever and we get those opportunities those are awesome. Now we get to start back and figure out where you want to be and how to get there most efficiently. A lot of people have to pick and choose. You know, what's your concern right now? And so we'll help them figure that out and again it could be security it could be you know how many people... We have over a thousand enterprise customers running Sequel 2008. That's a problem right? Because that's end of support within a year. That's a problem that's an opportunity. You know so they are still trying to figure out these things. And then a picture of where I want to get to. Which we've kind of always said and that's where that Digital Innovation Group they've got all these AI projects and as we sit here and talk about those things that are kind of born in the Cloud but they're coming towards the infrastructure. It was easy to get a GPU in the Cloud but I'm going to have to start... And so we have actually have all the latest Cisco technology and storage technology of AI stuff in our labs and stuff like that so there's a lot going on. Our CEO would say "It's a really exciting time to be in this business." >> It sounds like it! I wish we had more time to start digging through that but you'll have to come back Kent. >> Okay. >> Alright thanks for joining us. >> Yeah. Thank you. >> With Stu Miniman, I'm Lisa Martin. You're watching theCUBE live. Day 1 of our coverage of Cisco Live from San Diego. Thanks for watching.
SUMMARY :
brought to you by Cisco and its ecosystem partners. the Practice Director from Insight with It's been a little while. history of how you got to Insight. you know, compared to where we are. you know growing faster over all than the market and helping What's driving you know the most growth in your business you know that word getting our stuff together so Lisa: See here we are at Cisco Live. where do you start from a You know, a lot of the Cloud native transformation What else, what are some of the you know hot products Any specific products that you call out or you know security companies 3 years ago and you know watched it And some of those you know there's a lot of opportunities you can feel free to anonymize these. And then most of it is let's understand what you have. that you live in. So we actually did a study you know we do this Yeah, 90 percent of people think they are So once you as we wrap here in the next minute or so. So you know there's so many places you could start. I wish we had more time to start digging through that but Day 1 of our coverage of Cisco Live from San Diego.
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Stephanie Cox & Matthew Link, University of Indiana | Citrix Synergy 2019
>> live from Atlanta, Georgia. It's the two you covering. Citric Synergy. Atlanta 2019. Brought to You by Citrix >> Welcome back to the Cubes. Continuing coverage of Citrix Energy, 2019 from Atlanta, Georgia. I'm Lisa Martin. My co host for the event is Keith Townsend and Keith and I are excited to talk. Teo, one of the Citrix Innovation Award nominees, Indiana University, with a couple of folks from Indiana University joining us. Stephanie Cox, manager, a Virtual Platform Services and Mat Link, associate vice president of research Technologies Guys, thanks so much for joining Keith and me, Thank you. And congratulations on Indiana University being nominated for an innovation award. I was talking with Tim in hand there CMO yesterday, saying there was over a thousands nomination. So to even get down to being in the top three is pretty exciting stuff. Talk to us a little bit about Indiana University. Us. This is a a big, big organization. Lots of folks accessing the network through lots of devices. Matt, let's start with you. Give us that picture of what's going on there. Yes, so I >> u is about 130,000 students across seven campuses. We've got about 20,000 faculty and staff across those seven campuses. One of the things that makes us a little unique is were consolidated shop. So there are 1,200 of us and I you that support the entire university and all the campuses and anyone point in time, there could be 200,000 devices touching the network and using those services. >> That's a Big 70 talk. Talk to us about your virtual a footprint. How How big is the location? Data centers? What's the footprint? >> Well, we have two data centers. One of them is in Indianapolis, which is my home. It's one of our larger campus is calling Indiana University Purdue University affectionately, I U P y. There is a data center there, but our large danna center is at the flagship campus, which is in Bloomington, Indiana, >> and to support 100,000 plus people and to hundreds of any given the 2nd 200,000 devices. How have you designed that virtual infrastructure to enable access to students, faculty, etcetera and employees. >> So from the network perspective, we have several network master plans that have rolled, and we're in our 2nd 10 year next network master plan, and the network master plan is designed to continually upgrade the network. Both the physical network, the infrastructure and the wireless network in our last 10 year budget, for that was around $170,000,000 of investment just to support the network infrastructure. And then Stephanie rides on top of that as the virtual platform with Citrix to deliver the images anywhere on campus. Whether it's wirelessly or whether it's connected via network connection >> kill seven campuses is already a bit. If you ever look at a map, Indiana sits Christ map damp in the middle of the country. It's a big space. Right before we hit record, we were just talking about that. Drive off I 65 from Indianapolis to Chicago is just a lot of rules area, and I'm sure part of your mission is to make sure technology and education is the sensible thing. Everyone in Indiana talk to us about the challenges of getting connective ity and getting material virtual classrooms to those remote areas. >> Yeah, it's really one of the major strengths of our partnership with Citrix. They are really at the premiere Remote solution connectivity offering at Indiana University. So we built our citrix environment. Teo encompass everyone. We wanted to make sure we could have enough licenses and capacity for all of our 130,000 faculty, staff and students to use the service. Do they all show up at the same time? No, thank goodness. But we do offer it to everyone, which is I found in the education. You're in a very unique tin Indiana University. Another another thing to have consolidated I t. And then to be able to offer a service like ours to everyone and not just restricted to specific pockets of the university. With that, we've been able to them extend offering of any application or something that you might need for a class to any of our other remote location. So if you're a student who is working in or go, you know, lives in rule Indiana and you want Teo get in Indiana University degree, you can do that without having to travel to one of our campus sites or locations. We I have a very nice of online program, just a lot of other options that that we've really tried Teo offer for remote access. >> So Citrix has really enabled this. I think you call it the eye. You anywhere. Indiana University anywhere Program. Tell us about opening up this access to everyone over the time that you've been ascetics Customer, how many more people can you estimate have access now, that didn't hurt not too long ago. >> Yeah, I think initially, and Matt was probably no more before me before I Even before I even came on the scene, I believe that the original youth case was really just trying. Teo, extend what we were already doing on premise in what we call just our Indiana University lab supported areas. Right? So just your small, like the old days you would goto your college campus and you go into your computer lab with it. We just really wanted Teo the virtual Isar expand the access to just those specific types of APS and computers. And that was an early design. Since then, over the years, we've really kind of, you know, just really expanded. Really. We used the Citrix platform to redesign and distribute how we deliver the applications and the virtual desktops. So now not only do we service those students who would who would normally come onto the campus just to use your traditional computer lab. Wait do a lot, especially programs for other schools. Like we, we deliver a virtual desktop for our dentistry. Students may actually use that whole platform in the dental clinic to see real patients are third tier. Third year doctors do that way. Also replicated that same thing and do it in our speech and hearing sciences for our future audiologist. We have certain professors that have wanted to take a particular course that they're teaching and extended to different pockets all over the world. So we might host a class from Budapest or Africa somewhere else. You know, wherever that faculty and staff has three sources that they know they need to get to in their content already virtualized. We worked to make that happen all the time. >> That's a lot of what you just said is first of all, initially, maybe before Citrix being able to provide support in the computer labs for your maybe seven core campuses. Now you get your giving 130,000 plus individuals anywhere, anytime. Access that is the ex multiplier on that is massive, but you're also gone global It's not just online, it's you're able to enable professors to teach in other parts of the world where it was before. It was just people that were in Indiana, but master and and >> you're just limited by the network. So that's the only draw back. When you go to the rule areas way out, you're just limited by the network. You know, the initial program was really you really thought of as a cost saving measure way we're goingto put thin clients out. We wouldn't have to do life cycle replacements for desktop machines that were getting more expensive and more expensive, you know, 10 years ago, and now the way that we look at it is I you wants to provide services across the breath of the organization and make those services at no additional cost and open to everybody open access to everybody. The desktop, for example, is one of you know Stephanie is, is the brainchild behind the desktop, took three years of dedicated hard work to create an environment to support the visually impaired. >> Talk to us more about that because that was part of the video and that captured my intention immediately. What is 80 accessibility, technology, accessibility technology is inaccessible to get that. So I'm just, you know, hundreds thousands, and not just those that are sight and hearing. >> So one of the things then I think it's just a wonderful thing about working at a university. We're able to buy software licenses in a big quantity, large quantity, right? Because we have that kind of buying power software that I normally never would see or get access to, even in my private sector. Administer tricks engineer for a long time. But when you come to a university and then you're selling or you're getting licenses for 50 60 70 80,000 you get to see some of these products that you don't normally as a regular consumer. You'd like it, but you know you can't really afford it. So with that, when we started looking at all of the different applications that they could buy in a large quantity site licence, you know, the way we thought, Oh my goodness, let's virtualized these and make sure everybody gets access to them and the ones that were really attractive to us, where the ones for the visually impaired, sure they're in niche and They're very, very expensive, but we but let's just try it. We'll see how well they perform in a virtual environment. And with that, our Citrix infrastructure underneath they performed quite well. Plus, the apse have evolved a great deal over just the last four years. So we're really proud to offer our virtual desktop to our blind students. We had to work really hard to make sure that the speech recognition software was fast enough for them. It turns out that blind people listen to speech really, really, really, really, really fast, and so we had to make sure that we kept our platform while we're working on it to keep it sped an updated so that it's usable to them right since functional to me. But they really need it to be like, 10 times faster. I found that out after even shooting the award video and spending even more time with them, I thought, Why don't you guys tell me it was slow to you? But yeah, it's, uh, it's been an honor, really, Teo to be up for that award. But tow work with those students to learn more about their needs to learn more about the city different applications that people write for people with old disabilities. I hope we can do more in that space. >> So the young man in it and why I don't remember his name. >> Priscilla, Bela, Chris. So >> share just quickly about Chris's story. >> Yeah, and he watches the Cube. I hope he's listening because I >> think I think this whole >> kind of >> really put a little bit icing on the cake because you're taking an environment and urine empowering a student to do what they want to do versus what they are able or not able to do. So Christmas story is pretty cool of where he wants to go with his college career. >> Yeah, I won't say he's a big, you know, proponent, user of the virtual desktop, because he's just so advanced. He's like, way beyond everything We're learning from him. But he is Indiana University's believe. I'm saying this right, very first biomedical chemical engineer who is blind and fourth completely blind, Yes, wow and is quite a brilliant young man, and we were lucky to have him be r. He will test anything for me and and Mary Stores, who was featured in the video Chris Meyer. And he's also featured in the video. Gonna remember their names? I mean, it's a hole. I'm lucky to have a whole community of people that will Yeah, they know where we want to be there for them. We don't always get it right. What? We're gonna listen and keep trying to move forward. So >> But if you kind of think of even what a year or two ago not being able to give any of this virtualized desktop access to this visually impaired and how many people are now using it? >> Um, well, we open it up to everyone. We have hundreds and hundreds of users, but we know not everyone who uses it is blind. People like you can use it if you want it or not way. Don't really understand why some people prefer to use that one over there. The other But it does have some advantages. I mean, there there are different levels of sight impairment, too, as I've just been educated right. There are some people who are just at the very beginning of that journey of just losing their site. So we if if that happens to be, you know, someone that we can extend our environment to. It's probably better t use it now and get really familiar with that issue. Transition to losing your sight later in life. I've been told so >> So you ask a little bit about the scope of of the desktop, so I'll layer on a little bit of the scope of eye you anywhere. Last year, around 65,000 individual unique users over well over 1,000,000 Loggins and 8,000,000 and the average session time was around 41 minutes. That's so our instructors teach with it. Are clinicians treat people with it? We've built it in two. How's Elektronik protected health data? Er hit. The client's gonna be critical, writes the hip a standard because you can't say compliance anymore because you can't be compliant with a standard change. That wording several times way are very familiar with meeting hip. A standard we've been doing that for about 12 years now with where I came from was the high performance computing area of the university. So that's my background, and I >> so one thing we didn't get a chance to talk, uh, touch 12 100,000 devices were a citrus citrus is a Microsoft partner. Typically, when those companies think of 200,000 users, they think for profit. There's, you know, this is a niche use case for 200,000 users. Obviously, you guys have gotten some great pricing as part of being a educational environment. What I love to hear is kind of the research stories, because the ability to shrink the world, so to speak, you know, hi HPC you're giving access to specialized equipment to people who can't get their normally. You know, you don't have to be physically in front of GPU CPUC century. What other cool things have been coming out of the research side of the house because of the situation able? >> So this is cool. I mean, >> I get it. So >> So one of our group's research software solutions stole the idea from Stephanie to provide a research desktop. Barr >> imitation. Highest form of flattery, Stephanie. Absolutely. So what we've >> done is is is we always continually to try to reduce the barriers of entry and access? Uh, you know, supercomputing. Before you had to be this tall to ride this ride. Well, now we're down to here and with the hopes that will get down even farther. So what we've done is we've taken virtualized desktop, put it in front of the supercomputers, and now you can be wherever you want to be and have access to HPC. Untie you and that's all the systems. So we have four super computers and we have 40 petabytes of spinning disc ah, 160 petabytes of archival tape library. So we're we're a large shop and, you know, we couldn't have done it without looking at what Stephanie has done and and really looking in that model differently. Right? Because to use HPC before, you'd have to use a terminal and shell in and now, looking at you anywhere that gives you just the different opportunity to catch a different and more broad customer base. And I call on customers because we try to treat him as customers and and helps the diversity of what you're doing. So last year alone, our group research technologies supported a 151 different departments way were on 937 different grants, and we support over 330 different disciplines. Uh, it I you and so it's It's deep, but it's also very broad. First, larger campus we are. And as a large organization as we are, you know, we're fairly nimble. Even a 1,200 people. >> Wow! From what I've heard, it's no wonder that what you've done at Indiana University has garnered you the Innovation Award nominee. I can't imagine what is next. All that you have accomplished. Stephanie. Matt, thank you so much for joining Key to me. We wish you the best of luck and good a citric scott dot com Search Innovation Awards where you can vote for the three finalists. We wish you the very best of luck will be waiting with bated breath tomorrow to see who wins. >> So thank you very much. Thank you. Thank you. Keep >> our pleasure for Keith Townsend. I'm Lisa Martin. You're watching the Cube live from Citrix. Synergy 2019. Thanks for watching
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It's the two you covering. So to even get down to being in the top three So there are 1,200 of us and I you that support Talk to us about your virtual a footprint. at the flagship campus, which is in Bloomington, Indiana, and to support 100,000 plus people and to So from the network perspective, we have several network master Everyone in Indiana talk to us about the challenges of getting connective of any application or something that you might need for a class to any of I think you call it the eye. sources that they know they need to get to in their content already virtualized. That's a lot of what you just said is first of all, initially, So that's the only draw back. So I'm just, you know, hundreds thousands, and not just those that are sight and hearing. the award video and spending even more time with them, I thought, Why don't you guys tell me it was slow to So Yeah, and he watches the Cube. really put a little bit icing on the cake because you're taking an environment Yeah, I won't say he's a big, you know, proponent, user of the virtual desktop, because he's just so advanced. you know, someone that we can extend our environment to. so I'll layer on a little bit of the scope of eye you anywhere. the world, so to speak, you know, hi HPC you're giving access to So this is cool. So the idea from Stephanie to provide a research desktop. So what we've that gives you just the different opportunity to catch a different and more broad customer We wish you the very best of luck will be So thank you very much. our pleasure for Keith Townsend.
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Ranga Rao, Cisco & Dave Link, ScienceLogic | CUBEConversation, May 2019
from our studios in the heart of Silicon Valley Palo Alto California this is a cute conversation hello everyone welcome to this cube conversation here in Palo Alto California I'm John Fourier host of the cube we are in the cube studios we're here with Ranga Rao's Senior Director of Product Management Cisco Networking group and David link the CEO of science logic tell what their part is guys great to see you thanks I come in it glad to be here so you guys had a great event by the way symposium in DC thanks a lot of momentum yeah it was fun to watch he was there eight videos up on YouTube but you guys are classic partnership here with Cisco talk about the relationship you guys are meeting in the channel got a lot of joint customers a lot of innovation talk about the relationship between science logic and Cisco Cisco and science logic have been working together because our customers demand us to work together right so across more for more than 10 years science logic has been a strong part of for Cisco working across various different business units when we started working on ACI which is application centric infrastructure which is the product that my group works on we thought science logic was a perfect partner to work with and in fact some of our joint customers including Cisco IT which is a customer of science logic two came to the table and said we needed an integration with science logic so customers are a huge part of the genesis of the partnership and that's what keeps us going together and the fact that we have such strong synergies from a technology perspective makes it really easy for us to collaborate and the fact that we have both open platforms with strong api's makes it really easy for us to collaborate and this is the real haveá-- we're here to the chalk tracks around you know these API so this abstraction software layer zci has kind of gone the next level we covered that at Cisco live Dave we talked before about your value proposition you're on the front lines Cisco obviously has this new programmability model where their goal is to leverage the value the network abstract away the complexities and allow people to get more value out of it how is that working in what and how do you guys tie into Cisco it's really an ecosystem of technologies and partnerships that deliver outcomes for customers Cisco's advancing technology so fast we've seen an innovation sprint from Cisco it's actually causing us to sprint with them on behalf of their customers but ultimately we've had to introduce deep integrated monitoring across all the fabrics that they support for software-defined and that includes visibility into the ACCAC eye fabrics but it also goes through into the virtual machines the storage layers the operating systems the application layer so when you pull all of that together that's a day to challenge for the enterprise to make sure they're delivering outcomes to the customer that are above expectations recently we supported support for multi-site and multi pod ACI fabric we're working on a CI anywhere in the cloud we're really Cisco's extending the datacenter hyper-converged solutions to deliver value propositions no matter where the applications live so that's a huge step forward and then it causes operational initiatives to say how are we going to solve that problem for our customers no matter where the application lives so that's really where we're focused helping solve problems on that day to side of make all these technologies come to collect together to deliver a great outcome for the end-user and so they're enabling you with the with the ACI if a hyper converges to go out and do your thing yes so we instrument all those different really abstracted components because what we have with container management with Software Defined it's abstraction on top of core routes which and server and hypervisor technologies that bring it together in an intuitive way ultimately what we've seen from the enterprise and service providers is they really want infrastructure delivered as a service and that's really where Cisco's headed helping make that a reality with these products we just helped bring them together with the instrumentation analytics to operate them as one system you know ranking this is a great example of what we're seeing in this modern era with the data center on premises modernization growth of the cloud the advent of you know real hybrid cloud and private cloud as well as public cloud you guys are in a good position so I want to kind of dig into some talk tracks one you mentioned day two operates I've heard that term kicked around before cuz this is kind of speaks to this modernization in IT operations you know enabling an environment for you know Network compute storage to work seamlessly this is this is the real deal what is day to operations can you like define what that is yeah so our customers essentially go through the journey of building and network for some purpose to deliver an application or a service to their end users so the we think of the process of them building the network is day zero configuring the network for the particular operator a particular service as day one and everything that they deal with which is a lot of complexity which is they where they spend 80% of their time 90% of their budget has data operations which is a very complex domain so this is the area that we have been focusing within our business unit to make our customers lives easier with products that essentially solve some of these problems and collaborating with partners like science logic to make the operations of our customers much easier a important part of data operations is making sure that we provide the light right kind of abstractions for our customers initially customers used to configure switches on a switch by switch basis using command line interfaces with obscure commands what we have done within the data center as of like 2014 is brought in the application centric abstraction so customers can configure the network in the language of the application which is the intent interesting you know I'm old enough to remember those days of standing those networks up day one day zero on day one but I think day two has become really the new environment because day 2 operates was simply you know make sure the lights are on provision the switches top of racks all that stuff that went on and then you managed it you had your storage administrator all these things we're kind of static perimeter based security all that now is kind of thrown away so I think day two is almost like the reality of the situation because you now have micro services you've got apps and DevOps manding to have the agility and programmability the network so I got to ask is if that's true and you got cloud over the top happening this means that the software has to be really rock-solid because it's not getting less complex it's getting more complex so it's what is science logic fit in today too we've been focused on all these different technologies you bring together so from an intent based perspective Cisco's been really focused on intent based solutions but that lines up to a business service the business service is made up of a lot of different technologies that can come from many different locations to deliver you an application to you where you're super satisfied with an outcome its delivering productivity to you all the great things that you're hoping to experience when you interact with an application but behind the scenes there's a whole myriad of technologies that we instrument from a fault configuration performance analytics and really an analysis perspective to see all these multivariate data streams coming together in a hub where we can analyze them and understand the relationships the context of how all of those data feeds come together to enable a service so if we know that service view again no matter where the service is coming from in Cisco is now supporting ECI anywhere so that service could be sitting in a lot of different places today and we're seeing more and more hybrid applications and I think that's around for a long time to stay for good reasons security compliance and other reasons you've got to bring all that together and understand real time the real time operational viewpoint of how is it now and more so that proactive insight to know if you have an anomaly across any one of these performance variants how that may impact the service so is it going to be impacting the service and really help operations stay proactive I think that's where the DevOps and focuses right now look at evolution of DevOps gene King was on the cube said 3% of enterprises have adopted Ewa certainly there's the early adopters we all know who they are they're there DevOps cloud native from day one but really the adoption of DevOps is not yet there on mainstream is getting there but you're speaking to day two operations as kind of like operations you mentioned developers the apps that needs to be built to require all this infrastructure program ability this is where I think a CIS can I guess you need intrument ation so you need IT ops and you got to have program ability of the network but everyone's talking about automation so to me it sounds like there's an automation story in here if you got an instrument everything you got to have move beyond command line and configuring is that how does that fit it how's the automation finish yeah absolutely first of all within the ACI fabric we have we have a controller based approach so there's a single place of managing the entire infrastructure today we have customers who use two hundred-plus physicals which is being managed by a single point that's a huge amount of automation for provisioning the network from the perspective of managing the network the controller continuously looks at what's going on and essentially we have a product core network assurance engine which look which are which is a second pair of eyes which will tell you proactively if there are problems in the network right but a broader automation is needed where you can actually look at information from various different silos because network as important as we as cisco think is one part of the whole puzzle rate information comes from many different places so there's a platform that's needed where people can funnel in pieces of information from various different places and analyze that pieces of information figure out trends find the things that are of interest to them and operate in a data-driven fashion they want to get your thoughts on this next talk track around the impact of the cloud because if this happens the automations is pretty much agreed upon the industry therefore we've gotta automate things that are repetitive mundane tasks and certainly the network's a lot of command line stuff that can be automated away value will shift to other places but with the impact of cloud operation the operational side of the data center is looking more and more cloud like so in a way whether the debate of moving to the private cloud versus on-premises goes away and it becomes more of a cloud operation story on-premises multi-cloud on public clouds is kind of a new system this is the operational shift this is where all the action is talk about your perspective on this because this is kind of like you know it's not a simple saying lift and shift and moving into the cloud it's I want cloud like economics I want cloud like elasticity I want all that benefit on premises that's day two in my opinion would you agree I do and I think that's sometimes lost on the industry that we have a lot of clouds that we have to serve and for good purpose they're gonna live in different places but back to the earlier comment you've got to then pull information into a data hub I'll just call it in an architecture of data where you've got it from multiple sources whether it's clouds or private hyper-converged the wireless to the end-user all these different layers often that are being abstracted we've got to really understand how that relates to a user experience so when we think about what are the end results we're trying to achieve we're trying to be proactive so among the things that we're working on from a vision perspective instead of thinking about waiting for a system across any one of these tiers to have a fault where it tells you I've got a problem here's a trap here's a log I've experienced this problem we really want to do a lot more on the front end that performance analytics the anomaly detection to get across multivariate all these very 'it's mean this kind of performance health and in a performance score cisco has been investing heavily here we have as well jointly for some of our customers what I'd like to see in the future our vision is that you rely less on fault management and more on the proactive analytics side so that you understand anomalous behavior and how that could impact your experience as an end-user and fix it through automation before there is a problem so that's a very different thought I'd love to say our industry should in the future worry less about event correlation and more about predictive behavior so that's where we're spending a lot I don't like so wherever the false look for the goodness to I mean where's the zag lesion but you have to have all these data streams and you have to understand how they can textually relate to one another to make those important decisions and recommendations well you know I've always said this on the cube you can you know in this world of digital you can instrument everything so you soon it's going to be a matter of time for seeing what everything's happening but knowing what to look at it's kind of like what you're getting at yes hey Rach I talked about your your perspective because again and one of the things that Dave Volante and I just do many we talk about all the time on the cube is we debate this cloud conversation because I think my opinion is it's one big distributed architecture second operating system the cliff it's all the cloud they're all edges nodes and arcs on a distributed a dissenter certainly isn't going away but if everything is a network connection well that's the edge your data center you got this is you're in the business of networking right what's your take on all this because you know if it's a cloud operations it's a shift from the old IT to the new IT what's your perspective on this so the moniker that we have been using this year is that there's nothing centered about the data centers like you said there are workloads that reside in many different environments including the cloud so customers are demanding consistent operations and consistent management capabilities across this many different environments right so you're right the data center itself is turning out more to be like a cloud and we have even seen large cloud providers like offer solutions that sit within a customer's data center right so that's one area in which the words evolving another area is in terms of all the tools that are coming together to solve some of the operational problems to be more predictive and more proactive yeah you know I like to draw horns sometimes too many minute we keep on coin the term private cloud years ago and everyone was throwing hate at them you know on the way I don't know what's this private cloud nonsense if that's what's happening there's a private cloud it's a hybrid cloud multiple clouds you have public cloud and again you're gonna have multi purpose pick the right cloud for the workload kind of environment going on kind of like the way the tools business would but it's still platform so so guys thanks for coming in and sharing your insights I really appreciate that before we go take a minute to get the plug in for what you guys are working on give the company update what's going on you're hiring revenues up what's happening give us a state of the science logic what's going on so we had a great first quarter the best first quarter in the history of the company the health of the business is good I think the underlying theme is the transform of infrastructure is causing a lot of people to rethink the monitoring tooling as to how do we need to manage in this new operating environment you mentioned DevOps I think the real key there is the developer really wants to have the application be infrastructure aware and he needs good information coming from not 50 places but from a trusted place where he can make sure the application knows about how all the infrastructure that's supporting it no matter where it is is behaving and that's really the wind behind the sales driving our business we grew quarter-over-quarter sequentially with our subscription over a hundred percent in q1 so we're really thrilled with where the business is headed excited about the momentum and this is a really important partnership for us because everybody uses Cisco all of our enterprise customer service provider government customers Cisco is embedded in virtually every customer that we work with so we have to have the best support kind of that thought leadership of support for our customers for them to entrust management of those core applications through our platform right it gives a quick plug for the data center networking group what's happening there what's the the hot items what's the with give the plug quickly so very quickly I think the journey that we have been on is a CI any where to take a CI and its management and operations paradigm to many different environments we introduced support for AWS earlier in this year we are working on support for Azure and soon we'll have support for Google public clouds in all these environments we want our customers to have consistent experience and the way we get that is through solutions working with partners where we offer consistent solutions across all these environments for our customers and working with science logic as a very important partner to solve problems for our joint customers and you guys have always had a great Channel great ecosystem now you have not new for you to partner yeah we have like open API is open platform 65 plus partners that we work with so all customer focus well let me put you on the spot one last question got you here because your guru and networking and you know you've been around the block you've seen the different waves what's the biggest wake-up call that customers are having with respect to the old way of doing networking and the new way cuz clearly everyone has come to the realization that the perimeter based security model and static networking has to be more dynamic what's the big wake-up call that you think customers are seeing now with this new modern era I think customers are realizing more and more how important technologies part of it as part of their business sometimes it even drives the techni drives the business and helps customers make ditions on what's the right path to take for their business so what this applications become really important and the nerve center which is the network that supports the application becomes really important so customers are demanding us to build the best network possible to support this modern world that's continuously evolving so did you think a stab at that customer wake-up call what's your perspective on this what's the big R from your experience over the years you can't use tools that were built 20 years ago to continue operating global networks so we see a lot of the industry it's about a ten billion dollar total addressable market changing over because the market fit of the old tools that people have relied upon for many years aren't solving modern problems Oh guys thanks for the insight appreciating and good to see the partnership doing well thanks for coming into the cube studio we have Ranga Rao senior director of product management Cisco Networking group and David Lynch CEO of science logic here for cube conversation I'm Sean Fourier thanks for watching you [Music] you
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Stephanie Cox & Matthew Link, Indiana University | Citrix Synergy 2019
>> Live from Atlanta, Georgia. It's theCUBE covering Citrix Synergy Atlanta 2019. Brought to you by Citrix. >> Welcome back to theCUBE's continuing coverage of Citrix Synergy 2019 from Atlanta, Georgia. I'm Lisa Martin, my co-host for the event is Keith Townsend and Keith and I are excited to talk to one of the Citrix Innovation Award nominees, Indiana University. We have a couple of folks from Indiana University joining us, Stephanie Cox, Manager of Virtual Platform Services and Matt Link, Associate Vice President of Research Technologies. Guys, thanks so much for joining Keith and me. >> Thank you Lisa. >> Thank you. >> And thank you Keith. >> It's an honor to be here, yeah. >> And congratulations on Indiana University being nominated for an innovation award. I was talking with Tim Minahan, their CMO yesterday saying there was over a thousand nominations, so to even get down to being in the top three is pretty exciting stuff. >> Yeah. >> Awesome. >> So talk to us a little bit about Indiana University. You guys, this is a big, big big organization lots of folks accessing the network through lots of devices. Matt, let's start with you, give us that picture of what's going on there. >> Yeah, so IU is about 130,000 students across seven campuses. We got about 20,000 faculty and staff across those seven campuses. One of the things that makes us a little unique is, we're a consolidated IT shop. So, there are 1200 of us at IU that support the entire university and all the campuses. And at any one point in time, there could be 200,000 devices touching the network and using those services. >> Big, that's big. >> Big. >> Wow, that is big. Stephanie talk, talk to us about your virtual imp, footprint and how big is the location. How many data centers? What's the footprint? >> Well we have two data centers, one of them is in Indianapolis which is my home. It's one of our larger campuses, we call it Indiana University Purdue University, affectionately IUPUI. There is a data center there but our larger data center is at the flagship campus which is in, Bloomington, Indiana. >> And, to support 100,000 plus people and, you said at any given second, 200,000 devices. How have you designed that Virtual Integral Structure to enable access to students, faculty, et cetera and employees? >> So from the network perspective we have several network master plans that have rolled and we're in our second 10 year network master plan. And, the network master plan is designed to continually upgrade the network, both the physical network, the infrastructure, and the wireless network. In our last 10 year budget for that was around $170 million of investment just to support the network infrastructure. And then, Stephanie rides on top of that as the Virtual Platform with Citrix to deliver the images anywhere on campus, whether it's wirelessly or whether it's connected via network connection. >> Yep. >> So seven campuses is already a bit. If you ever look at a map, Indiana sits right smack dab in the middle of the country. It's a big space, right before we hit record, we were just talking about that drive up I-65 from Indianapolis to Chicago is just, a lot of rural area and, I'm sure part of your mission is to make sure technology and education is accessible to everyone in Indiana. Talk to us about the challenges of getting connectivity and getting material, virtual classrooms to those remote areas. >> Yeah, that's really one of the major strengths of our partnership with Citrix. They are really the premier remote solution connectivity offering at Indiana University. So, we built our Citrix environment to encompass everyone. We wanted to make sure we could have enough licenses and capacity for all of our 130,000 faculty, staff, and students to use the service. Now do they all show up at the same time? No, thank goodness. >> Thankfully. >> But we do offer it to everyone which is, I found, in the education arena, very unique to Indiana University. Another thing to have the consolidated IT and then to be able to offer a service like ours to everyone and not just restrict it to separate pockets of the university. With that, we've been able to then extend, offering of any application or something that you might need for a class to any of our other remote locations. So, if you're a student who is working in or lives in rural Indiana and you want to get an Indiana University degree, you can do that without having to travel to one of our campus sites or locations. We have a very nice online program and just a lot of other options that we've really tried to offer for remote access. >> So Citrix has really enabled this, I think you call it the IUanyWare, Indiana University Anywhere Program. >> Yeah. >> Tell us about opening up this access to everyone over the time that you've been a Citrix customer how many more people can you guesstimate have access now that didn't not too long ago? >> Yeah, I think initially, and Matt would probably know more before me, before I even came on the scene, I believe that the original use case was really just trying to extend what we were already doing on premise in what we call just our Indiana University lab supported areas. Right, so just your small, like the old days when you would go to your college campus and you go into your computer lab, we just really wanted to virtualize, or expand, the access to just those specific types of apps and computers. And that was an early design, since then over the years we've really kind of, just really expanded. Really use the Citrix platform to redesign and distribute how we deliver the applications and the virtual desktops. So, now not only do we service those students who would normally come onto the campus just to use your traditional computer lab, we do a lot of specialty programs for other schools. Like we deliver a virtual desktop for our dentistry students, they actually use that whole platform in the dental clinic to see real patients our, third tier, third year doctors do that. We also replicated that same thing and do it in our speech and hearing sciences for our future audiologists. We have certain professors that have wanted to take the particular course that they're teaching and extend it to different pockets all over the world so we might host a class from Budapest or Africa somewhere else, wherever that faculty and staff has resources that they know they need to get to and their content already virtualized. We work to make that happen all the time. >> That's, a lot of what you just said is first of all, initially, maybe before Citrix being able to provide support in the computer labs for your maybe seven core campuses, now you're giving 130,000 plus individuals anywhere, anytime access. That is, the X multiplier on that is massive. But you're also gone global, it's not just online, you're able to enable professors to teach in other parts of the world, where it was before it was just people that were in Indiana. >> Right. >> That's massive. >> And you're just limited by the network. So that's the only drawback when you go to the rural areas way out, you're just limited by the network. The initial program was really, really thought of as a cost saving measure. We were going to put thin clients out, we wouldn't have to do life cycle replacements for desktop machines that were getting more expensive and more expensive 10 years ago, and now the way that we look at it is IU wants to provide services across the breadth of the organization, and make those services at no additional cost. And open to everybody. Open access to everybody, the AT desktop, for example is one of, Stephanie is, the brainchild behind the AT desktop. Took three years of dedicated hard work to create an environment to support the visually impaired. >> Talk to us more about that, because that was part of the video and that captured my attention immediately. What is AT? >> Accessibility. >> Technology. >> Technology. >> Accessibility Technology. >> Accessible, is it Accessible Technology? >> Accessible Technology. >> Yeah, I always get that wrong. (laughs) >> So, hundreds, thousands, and not just those that are sight and hearing. >> Right. >> Yeah, so one of the things that I think was, it's just a wonderful thing about working at a university, we're able to buy software licenses in a big quantity, large quantity right, because we have that kind of buying power. Software that I normally never would see or get access to even in my private sector, I've been a Citrix engineer for a long time, but when you come to a university and then you're selling or you're getting licenses for 50, 60, 70, 80,000, you get to see some of these products that you don't normally, as a regular consumer, (laughs) you like it but you know you can't really afford it. So, with that when we started looking at all of the different applications that they could buy in a large quantity site license way we thought oh my goodness, let's virtualize these and make sure everybody gets access to them. And the ones that were really attractive to us were the ones for the visually impaired. Sure they're a niche and they're very, very expensive but we thought let's just try it. We'll see how well they perform in a virtual environment and with our Citrix infrastructure underneath they performed quite well, plus the apps have evolved a great deal over just the last four years. So, we were really proud to offer our virtual desktop to our blind students. We had to work really hard to make sure that the speech recognition software was fast enough for them. It turns out that blind people listen to speech really, really, really, really, really, fast and so we had to make sure that we kept our platformer working on it, to keep it sped and updated so that it's usable to them, right. Seems functional to me, but they, it really needed to be like, 10 times faster. After I found that out, after even shooting the award video and spending even more time with them I thought, why did you guys tell me it was slow to you? But yeah it's been an honor, really, to be up for that award but to work with those students, to learn more about their needs, to learn more about the different applications that people write for people with all disabilities. I hope we can do more in that space. >> So the young man, in, at IUPUI. >> Yes. >> I don't remember his name. >> Chris Lavilla. >> Chris. >> Yes. >> So share, just quickly about Chris' story. >> If, he watches theCUBE I hope he's listening 'cause I think he's kind of remarkable. >> I think this'll really put some, a little bit of icing on that cake because you're taking an environment and you're empowering a student to do what they want to do, versus what they are able or not able to do, so Chris' story is pretty cool of where he wants to go with his college career. >> Yeah, now I won't say he a big proponent user of the virtual desktop because he's just so advanced, he's like way beyond everything. We're learning from him, but he is Indiana University's I believe I'm saying this right, very first biomedical chemical engineer who is blind since birth, completely blind, yes. >> Wow. >> He is, and he's quite a brilliant young man and we're lucky to have him be our, he will test anything for me, and Mary Stores, who's featured in the video Chris Mire, he's also featured in the video I got to remember their names, I mean, it's a whole, I'm lucky to have a whole community of people that will. Yeah, they know, we want to be there for them, we don't always get it right, but we're going to listen and keep trying to move forward, so. >> But, if you kind of think of, even a what, a year or two ago, not being able to give any of this virtualized desktop access to the visually impaired and how many people are now using it? >> Well we open it up to everyone. We have hundreds and hundreds of users but we know not everyone who uses it is blind. People can, you can use it if you want it or not. We don't really understand why some people prefer to use that one over any other but it does have some advantages, there are different levels of sight impairment too, as I've just been educated right. There are some people who are just at the very beginning of that journey of just losing their sight so, if that happens to be someone that we can extend our environment to it's probably better to use it now and get really familiar with that as you transition to losing your sight later in life, I've been told so. >> So you asked a little bit about the scope of the AT desktop, so I'll layer on a little bit of the scope of IUanyWare. Last year around 65,000 individual unique users over, well over a million logins and-- >> 1.4 million. >> 1.4 million. And the average session time was around 41 minutes. >> That's long. >> So. >> Yeah. >> Our instructors teach with it, our clinicians treat people with it, we've built it to house electronic protected health data. >> So HIPA compliance, got to be critical, right? >> It meets the HIPA standard. >> Right. >> Because you can't say compliance anymore because you can't be compliant with a standard. (Stephanie laughing) They've changed that wording several times in the course of the year. >> We know this. >> So, and we are very familiar with meeting the HIPA standard, we've been doing that for about 12 years now, with, where I came from was the high performance computing area of the university so that's my background that I. >> So, one thing we didn't get a chance touch on, 200,000 devices. We're at Citrix, Citrix is a Microsoft partner. Typically when those companies think of 200,000 users they think for profit, this is a niche use case for 200,000 users. Obviously you guys have gotten some great pricing as part of being an education environment. What I would love to hear is, kind of the research stories because the ability to shrink the world, so to speak high HPC, you're giving access to specialized equipment to people who can't get there normally, you have to be physically in front of GPUs, CPUs, et cetera. What other cool things have been coming out of the research side of the house because of the Citrix enablement? >> So, this is cool I mean. >> You got to, got to. (laughs) >> Right, so one of our groups, Researched Software and Solutions stole the idea from Stephanie to provide a research desktop. >> Borrowed. >> Borrowed. >> Imitation, highest form of flattery, Stephanie. >> That's right, absolutely. So what we've done is we always continually to try to reduce the barriers of entry and access. Supercomputing before, you had to be this tall to ride this ride, well now we're down to here. And, with the hopes that we'll go down even farther. So what we've done is we've taken a virtualized desktop, put it in front of the supercomputers, and now you can be wherever you want to be, and have access to HPC at IU. And that's all the systems, so we have four supercomputers And we have 40 petabytes of spinning disc, 160 petabytes of archival tape library so, we're a large shop. And, we couldn't have done it without looking at what Stephanie has done and really looking at that model differently, right? Because to use HPC before you'd have to use a terminal and shell in. And now, looking at IUanyWare, that gives you just the different opportunity to catch a different and more broad customer base. And I call them customers because we try treat them as customers >> Right. >> And it helps the diversity of what you're doing so last year alone our group, Research Technologies supported 151 different departments. We were on 937 different grants. And we support over 330 different disciplines at IU and so it's deep, but it's also very broad, for as large a campus we are and as large an organization as we are, we're fairly nimble even at 1200 people. >> Wow, from what I've heard it's no wonder that what you've done at Indiana University has garnered you the Innovation Award nominee. I can't imagine what is next with all that you have accomplished. Stephanie, Matt, thank you so much for joining Keith and me, we wish you the best of luck. You can go to Citrix.com, search Innovation Awards where you can vote for the three finalists. We wish you the very best of luck. We'll be waiting with bated breath tomorrow to see who wins. >> So will we, thank you very much. >> Thank you. >> Thank you Lisa. Thank you Keith. >> Our pleasure. For Keith Townsend, I'm Lisa Martin. You're watching theCUBE live from Citrix Synergy 2019. Thanks for watching. (upbeat techno music)
SUMMARY :
Brought to you by Citrix. and Keith and I are excited to talk to one of the Citrix a thousand nominations, so to even get down to being So talk to us a little bit about Indiana University. One of the things that makes us a little unique is, Stephanie talk, talk to us about your virtual imp, but our larger data center is at the flagship campus And, to support 100,000 plus people and, So from the network perspective we have Talk to us about the challenges of getting 130,000 faculty, staff, and students to use the service. and then to be able to offer a service like ours to everyone I think you call it the IUanyWare, in the dental clinic to see real patients our, third tier, That's, a lot of what you just said is and now the way that we look at it is Talk to us more about that, Yeah, I always get that wrong. that are sight and hearing. After I found that out, after even shooting the award I think he's kind of remarkable. to do what they want to do, versus what they are able of the virtual desktop because he's just so advanced, I got to remember their names, I mean, it's a whole, if that happens to be someone a little bit of the scope of IUanyWare. And the average session time was around 41 minutes. to house electronic protected health data. in the course of the year. So, and we are very familiar with meeting because the ability to shrink the world, so to speak You got to, got to. to provide a research desktop. just the different opportunity to catch a different And it helps the diversity of what you're doing we wish you the best of luck. Thank you Lisa. Thanks for watching.
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Dave Link, ScienceLogic | ScienceLogic Symposium 2019
>> From Washington DC, it's theCUBE. Covering ScienceLogic Symposium 2019. Brought to you by ScienceLogic. >> I'm Stu Miniman and this is theCUBE's coverage of ScienceLogic Symposium 2019 here at The Ritz-Carlton in Washington DC. Really excited to welcome back to the program. It's the co-founder CEO and the Headmaster of Wizarding school, >> Wizarding school, yes. >> Dave Link, thank you so much for joining us. Great to be here Steve. >> All right, so Dave first of all congratulations, really been enjoying the event you know you you kicked it off in the keynote this morning great energy, really I think capturing you know where we are in you know IT in business today. We understand how things are changing so much and it's a complex world and ScienceLogic is trying to do Its part to help simplify and make it easier for IT to you know run at the speed of business and machines. >> That's exactly right. What's happening in the world right now is you've got a confluence of cloud apps, traditional legacy apps and they're colliding together and as they collide together you need new tools to manage that in a way that's different than what we've seen in the past. You're looking at lots of sources coming together to contextualize, not just seeing what's happening, understanding how systems relate to one another but acting upon them. Machine at machine speed means that automation is king and the wizard hat actually relates to a storyline we had earlier today when we think about how to educate the marketplace and the customers we realized that we needed a very new way of communicating. So videos E-Learning The Wizard of learning has been a theme of the show to help our customers to get up to speed and actually take full advantage of the application that we provide to help them deliver great service quality. >> Yeah well and we appreciate you bringing theCUBE to help with that video education of the community overall. >> That's right >> Yeah so you know look Dave you know wanted... let's step back for a second and you know we want to going to get to the business update but first you know the company is founded in 2003. You know cloud wasn't a term, some of the underlying foundations of what became cloud, you know existed back there. Those of us in the industry understand some of the waves that have happened there but you know to talk about cloud and micro services and all of these changes that have... So give us a little bit about that evolution about the original premise of the company, as we move now to you know the world of today and how you manage to keep the company moving and relevant >> I love telling this story Stu because it never gets old >> Yeah >> A lot of the original feces that we had about where service business service analysis was going, the application analysis connected to the infrastructure. Our belief was we were going to move to a world where it wasn't based on devices or nodes or systems. It was really based on this service and what we're seeing with cloud has accentuated that tenfold because services now are made up of compound things, technologies, service delivery mechanisms as a service platforms and they all have to work with one another The platform we built had an architecture that was very open that could take data streams from lots of different sources, create a common information model contextualize that and then act upon it. So now more than ever before, we really built the right platform with multi-tenancy, with role based access control with all the things that were really hard problems to solve code day one and now the thesis that we had that it was more about the service view is as important as it as it's ever been with ephemeral systems that are coming and going, with really containerized systems on top of virtual machines on top of their metal. All these abstraction layers require a different mindset but an open architecture is really at the heart of pulling lots of data streams together contextualizing it and then acting upon it >> Yeah, so I'm a sucker for Venn diagrams. so you heard that the analyst in the keynote this morning talked about AI ops and he said to the inner structure intersection of IT operations data science and machine learning >> Yes >> Data at the center of everything, it's something we've had a couple of waves of trying on intelligence and automation, are things we've been talking about for decades in IT. Give us a little bit as why some of those waves are coming together so that now and what you're doing is the right moment to really help accelerate. You've been having great growth for a number of years and project out some really strong growth for the next few. >> We have over the last five years the company has grown over five hundred and forty percent from a revenue perspective and I think that's the underpinnings of that relates to do we have the right market fit. Are we solving a problem that's material to customers that it's hard for them to solve without our product. But I really envision a future we've been working on this for a couple decades, right? The future is one I hope where from a artificial intelligence at machine speed where we're getting so predictive and understanding, through really smart scalable algorithms the future faults that may occur for you know we've both been at this for a long time. we've been talking about event correlation for many years. I envision a world where you're not doing event correlation when you've had an event, it's actually too late. Usually that's caused by a system telling you that there is a problem. So what we're really working on what we've talked a lot about here at the show is not just predictive analytics but really understanding what's abnormal and getting in front of a problem before there is a problem with the system with really super smart algorithms that help customers understand, many different data sets converge together and what they really mean so that you can get ahead of a service outage rather than have the fault that you're then working on correlating to infrastructure to application layers. >> You know the other thing that's been interesting for me to watch is, the core of where you started was really working with the service Fighters. I've had a chance to talk to a number of your service fighters >> Yes and Hughes has been with you since the early days up to you know one that just bought a couple of weeks ago and you know they're happy very. Talked about kind of the compare/contrast of the service riders and the enterprise because you know cloud is impacting you know the big hybrid hyper scale clouds are impacting both of those and the rate of change is affecting both of those in a lot of ways. So I'm curious as you see you know what what what's similar and what's different between going into those markets. >> When we thought about the problem for service providers there were two axes that we were looking at. Number one was from one instance of our platform you had to serve many customers that all had their own tenancy. But on top of that, you had to layer in a role based access control who could see what the customer had their view, the internal ops teams had their view. So building out a really complicated foundational model and an architecture that would support tenancy on steroids with one instance of our product was a really important linchpin of what's now, incredibly important to enterprises, because enterprises are getting into a moment where they're having to really act as service bureau's, service brokers and that means that all the different teams that support different technology silos, really have to work together as one and... but yet they still need their own views.So a lot of the foundational highly differentiated capabilities we built for service providers, for large scale globally distributed enterprises, actually meets a need profile that is very hard to find solutions that fit that profile and can give them that consolidated view but yet the deep dive view for the practitioner and we're finding that more and more enterprises, have follow-the-sun operations, follow-the-sun architecture teams, follow-the-sun engineering teams that need different views that is really hard to get most products that were built in this space were built for a single tenant enterprise view and that never gives you the granularity for each consumer and each persona to get the view that they need. So it's interesting that although we kind of over engineered those capabilities for the service provider needs it's becoming involved with the enterprises as they're looking at how do they need to do things as really a converged team, working as one team across many silo disciplines and that requires a very different way of thinking, a different tool space a different solution to the problem that we built kind of from the ground up. It's now really appropriate for the DevOps teams the teams that are really having to break down the silos and work as one team. >> Yeah the, the the the term that often gets misused and misunderstood is scale. But if you truly can build something that's distributed architecture for scale, It really opens up a lot of opportunities. One of the things you highlight it also is that, ScienceLogic puts a lot of investment into you know R&D and keep working on things big announcement of Big Ben, seemed I've had a chance to hear what everybody likes and the best. Talk a little bit about you know how you keep the development efforts going how you put that strong and effort on it and you know boy you know you said you worked on the UI for three years and now it sounds you know it's a bold statement to be like okay and everybody you're using this, you know you can't have the safety blanket of old away in new way for a while, >> You're constantly reinventing and refactoring code base to get to new outcomes for customers. we're spending between 35 and 40 percent of revenues on R&D. That's generally almost twice as much as many of our competitors and we're doing that because there is so much still to do. At times we have really thought carefully, could we scale back should we scale back our R&D spend but fortunately we've had a very supportive board of directors that believes in our vision. Believes in the vision that this is a unique moment in time the whole market is transitioning to a new tool set, because of all of the crosswinds of public cloud refactoring of applications containerization abstraction of the network, a storage, compute. All of these things combining together require a very different way of solving this problem We've, we've actually seen this play out in the past which again is why we're over investing in engineering. When you look at the mainframes and the compute architecture of mainframes and then we went to client-server, the tools that managed the mainframe really didn't manage the client-server. we've now gone from client-server to cloud the same things happening again. Because the needs are so different and we're going to see a very different generation of tools rule this next gen of requirements the customers have when they have a multitude of clouds that all work together to deliver an outcome to an application that you as a user are benefiting from. >> Alright so talked about the growth, talked about the investment, it's a strong industry validation today also. Gartner up on stage talked about the definition of AI ops they might not be fully in sync as to how mature the market is but it's still important that they are you know this is a trend and something to watch and it's on their hype cycle and Forrester released the wave which had congratulations ScienceLogic as the the top scorer up in the leaders category. So congratulations on that and what does that mean. >> Well we're thrilled about that because that external validation is what customers look at. It helps them with their analysis and that the talk tracks that everybody's on in our industry sometimes it's hard to discern who does what and how well each company does it to some degree from a marketing perspective many people use the same words so the good words are already used up. So sometimes it's hard to understand how each product is differentiated in the marketplace the Forrester wave report was so thorough so comprehensive, put us through over 30 use case scenarios where we had to demonstrate to get the qualifications for that ranking. So it wasn't just us responding in writing and waving our arms and throwing out a few powerpoints to get to that result we had to prove it and it feels the satisfaction of actually proving it for our team for our engineering team for everybody here at the company I'm so proud of everybody because that's really from a product perspective. We love those product recognition awards are actually sometimes more enjoyable than the growth recognition awards because that means you're really delivering a value to the customer where they're going to when they deploy the product they're going to have a good outcome. So that's what we're focused on and having Forrester put us at the top of the wave report is a special moment in the history of the company. >> Alright so Dave this is your user conference, so what I want to end on... Let's talk about the customers and here's here's my observation as you know, my first time coming to your event and I've talked to a number of seen some of the interactions there. There are certain products that customers love the relationship is an interesting and I would say a really good one the customers are really engaged and enjoying and liking it and it's almost like that friend that you can be like I really like you and your friends in their car I can be like this is how I want you to get better in ScienceLogic this is what you've done and I'm excited once on the roadmap and this is where I want you to go even more. So it's it's like you know that that friend that you can kind of hang out with and joke with and I've seen some of those relationships it's a good robust relationship and strong partnerships. It seems that you build with your customers am I getting the right vibe how do you look at your relationships with your customers. >> From a simple business perspective, I look at a couple things this is just as a run the business metric. On average our customers buy about twenty four, twenty five percent more capacity each year. On average our customers stay with us for 7-10 years. On average our customers pay us within 59 days. So I look at are we getting paid on time, do our customers buy more capacity each and every year and do we retain our customers. We retain about ninety five percent of our customers. So those metrics are really best-in-class, net subscription retention, DSO. All of those things are really good foundational indicators of we're doing a great job for our customers but what I love is this interaction that we have with them where they're they're never ending pressure on us to do better to strive for something that makes a day in their life a better day. I love that pressure it's uncomfortable many days of the week as I mentioned in my opening presentation but it makes us a better company and everybody in the company embodies this sense of how do we capture that synthesize it and then deliver against their needs and wants as quick as we can. So our innovation rates now are as high as they've ever been the throughput our of our development team this last quarter was the best we've ever seen in the history of the company, not just because we have more people but we're getting more done in the same amount of time. So all the KPIs that I look at are pointing in a really positive direction of great momentum for the business and really good alignment with customer needs and wants. We have probably the best market fit I've ever seen with the needs and wants of a net new customer and how our product fits against that. The Forrester wave report was yet another independent validation of how good our market fit in our strategy is right now to solve real problems that are very painful for customers to solve without our product >> Alright, Dave I can't let the head wizard gone without looking a little bit into the future. So as you look down the road what should we be looking as industry watchers to seem from ScienceLogic, seen from the industry you know I asked customers if they had a magic wand you know what would they do to make things better. You had a magic wand up on stage what will you be doing to make the industry better for all of us. >> There's so many things that when we think about making the industry better, it's a community and that means that among the key things that everybody's focused on right now for AI OPS is automation. So sharing those lessons learned cauterizing, validating the automation opportunities whether it's with provisioning systems, with end devices for capacity planning. All the things that we're doing we're starting to work with our customers to publish that broadly so that they can benefit from one another as quick as possible to take those best practices and throughout our community put them into production. If we do that each and every day and really focus on delivering that value across the customer base even for competitive customers. They compete with one another what we've seen is the spirit of cooperation and that to me is among the most satisfying parts of our customer and user community that it's a community that wants to help each other get better every day of the week and that's really hard mission as well. So from a trend line for the entire industry, I think we're all moving towards a moment in time where we have this autonomic capability where we know the applications are infrastructure, we're the tools that help us keep those applications running are getting smarter and smarter by the day and basically move us away from a fault and event correlation storyline to a predictive automation storyline >> Alright well Dave actually I said it on theCUBE a couple of years ago data holds the potential be that flywheel of growth for many years to come. Really appreciate you sharing the story and thanks again for having theCUBE at the event. >> Thanks too great to be here with you. Alright we'll be back with more coverage here from ScienceLogic Symposium 2019, I'm Stu Miniman and thank you for watching theCUBE.
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Brought to you by ScienceLogic. It's the co-founder CEO and the Headmaster Dave Link, thank you so much for joining us. the event you know you you kicked it off in of the show to help our customers to get up to speed to help with that video education of the community overall. to you know the world of today and how you manage and now the thesis that we had that it was more about and he said to the inner structure intersection is the right moment to really help accelerate. of a service outage rather than have the fault the core of where you started was really working with the service riders and the enterprise because you know cloud and that means that all the different teams One of the things you highlight it also is that, because of all of the crosswinds of public cloud refactoring but it's still important that they are you know and it feels the satisfaction of actually proving it the right vibe how do you look of great momentum for the business seen from the industry you know I asked customers and that means that among the key things Really appreciate you sharing the story I'm Stu Miniman and thank you for watching theCUBE.
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Maheswaran Surendra, IBM GTS & Dave Link, ScienceLogic | ScienceLogic Symposium 2019
>> From Washington D.C. it's theCUBE covering ScienceLogic Symposium 2019. Brought to you by ScienceLogic. >> Hi, I'm Stu Miniman and this is theCUBE's coverage of ScienceLogic Symposium 2019 here at The Ritz-Carlton in Washington D.C. About 460 people here, the events' grown about 50%, been digging in with a lot of the practitioners, the technical people as well as some of the partners. And for this session I'm happy to welcome to the program for the first time guest, Surendra who is the vice president and CTO for automation in IBM's global technology services. And joining us also is Dave Link who is the co-founder and CEO of ScienceLogic. Gentlemen, thank you so much for joining us. >> Thank you for having us. >> Thanks for having us. >> Alright, so Surendra let's start with you. Anybody that knows IBM services at the core of your business, primary driver, large number of the presented to the employees at IBM are there. You've got automation in your title so, let's flush out a little bit for us, your part of the organization and your role there. >> Alright, so as you pointed out, IBM, a big part of IBM is services; it's a large component. And that two major parts of that and though we come together as one in terms of IBM services, one is much more focused on infrastructure services and the other one on business services. So, the automation I'm dealing with primarily is in the infrastructure services area which means all the way from resources you have in a persons data center going into now much more of course in a hybrid environment, hybrid multi-cloud, with different clouds out there including our own and providing the automation around that. And when we mean automation we mean the things that we have to do to keep our clients' environments healthy from a availability and performance standpoint; making sure that our environment then we respond to the changes that they need to the environment because it obviously evolves over time, we do that effectively and correctly and certainly another very important part is to make sure that they're secure and compliant. So, if you think of Maslow's hierarchy of the things that IT operations has to do that in a nutshell sums it up. That's what we do for our clients. >> Yeah, so Dave luckily we've got a one on one with you today to dig out lots of nuggets from the kino and talk a bit about the company but, you talk about IT operations and one of the pieces I've got infrastructure, I've got applications, ScienceLogic sits at an interesting place in this heterogeneous ever-changing world that we live in today. >> It does and the world's changing quickly because the clouds transforming the way people build applications. And that is causing a lot of applications to be refactored to take advantage of some of these technologies. The especially focused global scale we've seen them, we've used them, applications that we use on our phone. They require a different footprint and that requires then a different set of tools to manage an application that lives in the cloud and it also might live in a multi-cloud environment with some data coming from private clouds that populate information on public clouds. What we found is the tools industry is at a bit of a crossroads because the applications now need to be infrastructure aware, but the infrastructure could be served from a lot of different places, meaning they've got lots of data sources to sort together and contextualize to understand how they relate to one another real time. And that's the challenge that we've been focused on solving for our customers. >> Alright, Surendra I want to know if we can get a little bit more to automation and we talk automation, >> There's also IBM use for a number of years, the cognitive and there was the analyst that spoke in the kino this morning. He put cognitive as this overarching umbrella and underneath that you had the AI and underneath that you had that machine learning and deep learning pieces there. Can you help tease out a little bit for IBM global services in your customers? How do they think of the relationship between the MLAI cognitive piece in automation? >> So I think the way you laid it out, the way it was talked about this morning absolutely makes sense, so cognitive is a broad definition and then within that of course AI and the different techniques within AI, machine learning being one, natural language processing, national languages understanding which not as much statistically driven as being another type of AI. And we use all of these techniques to make our automation smarter. So, often times when we're trying to automate something, there can be very prescriptive type of automation, say a particular event comes in and then you take a response to it. But then often times you have situations where you have events especially what Dave was talking about; when an application is distributed not just a classic of distributed application, but now distributed of infrastructure you may have. Some of it may be running on the main frame, some of it actually running in different clouds. And all of this comes together, you have events and signals coming from all of this and trying to reason over where a problem may be originating from because now you have a slow performance. What's the reason for the slow performance? Trying to do some degree of root cause determination, problem determination; that's where some of the smarts comes in in terms of how we actually want to be able to diagnose a problem and then actually kick off maybe more diagnostics and eventually kick off actions to automatically fix that or give the practitioner the ability to fix that in a effective fashion. So that's one place. The other areas that one type of machine learning I shouldn't say one type, but deadly machine learning techniques lend themselves to that. There's another arena of causes a lot of knowledge and information buried in tickets and knowledge documents and things like that. And to be able to extract from that, the things that are most meaningful and that's where the natural language understanding comes in and now you marry that with the information that's coming from machines, which is far more contextualized. And to be able to reason over these two together and be able to make decisions, so that's where the automation. >> Wonder if we can actually, let's some of those terms I want to up level a little bit. I hear knowledge I hear information; the core of everything that people are doing these today, it's data. And what I heard, and was really illuminated to me listening to what I've seen of ScienceLogic is that data collection and leveraging and unlocking value of data is such an important piece of what they're doing. From an IBM standpoint and your customers, where does data fit into that whole discussion? How do things like ScienceLogic fit in the overall portfolio of solutions that you're helping customers through either manager, deploying and services? >> So definitely in the IT Ops arena, a big part of IT Ops, at the heart of it really is monitoring and keeping track of systems. So, all sets of systems throw off a lot of data whether it's log data, real time performance data, events that are happening, monitoring of the performance of the application and that's tons and tons of data. And that's where a platform like ScienceLogic comes in, as a monitoring system with capabilities to do what we call also event management. And in the old days, actually probably would have thought about monitoring event management and logs as somewhat different things; these worlds are collapsing together a bit more. And so this is where ScienceLogic has a platform that lends itself to a marriage of these faces in that sense. And then that would feed a downstream automation system of informing it what actions to take. Dave, thoughts on that? >> Dave, if you want to comment on that I've got some follow ups too, but. >> Yeah, there's many areas of automation. There's layers of automation and I think Surendra's worked with customers over a story career to help them through the different layered cakes of automation. You have automation related to provisioning systems, the provision and in some case provision based on capacity analytics. There's automation based on analysis of a root cause and then once you know it, conducting other layers of automation to augment the root cause with other insights so that when you send up a case or a ticket, it's not just the event but other information that somebody would have to go and do, after they get the event to figure out what's going on. So you do that at time of event that's another automation layer and then the final automation layer, is if you know predictively about how to solve the problem just going ahead if you have 99% confidence that you can solve it based on these use case conditions just solve it. So when you look at the different layers of automation, ScienceLogic is in some cases a data engine, to get accurate clean data to make the right decisions. In other cases, we'll kick off automations in other tools. In some cases we'll automate into ecosystem platforms whether it's a ticketing system, a service desk system, a notifications systems, that augment our platform. So, all those layers really have to work together real time to create service assurance that IBM's customers expect. They expect perfection they expect that excellence the brand that IBM presents means it just works. And so you got to have the right tooling in place and the right automation layers to deliver that kind of service quality. >> Yeah, Dave I actually been, one of the things that really impressed me is that the balance between on the one hand, we've talked to customers that take many many tools and replace it with ScienceLogic. But, we understand that there is no one single pane of glass or one tool to rule them all, the theme of the shows; you get the superheros together because it takes a team. You give a little bit of a history lesson which resonated me. I remember SNMP was going to solve everything for us, right? But, the lot of focus on all the integrations that works, so if you've got your APM tools, your ITSM tools or things you're doing in the cloud. It's the API economy today, so balancing that you want to provide the solutions for your customers, but you're going to work with many of the things that they have; it's been an interesting balance to watch. >> Yeah, I think that's the one thing we've realized over the years; you can't rip and replace years and years of work that's been done for good reason. I did hear today that one of our new customers is replacing a record 51 tools with our product. But a lot of these might be shadow IT tools that they've built on top of special instrumentation they might have for a specific use cases or applications or a reason that a subject matter expert would apply another tool, another automation. So, the thing that we've realized is that you've got to pull data from so many sources today to get machine learning, artificial intelligence is only as good as the data that it's making those decisions upon. >> Absolutely. >> So you've got to pull data from many different sources, understand how they relate to one another and then make the right recommendations so that you get that smooth service assurance that everybody's shooting for. And in a time where systems are ephemeral where they're coming and going and moving around a lot, that's compounding the challenge that operations has not just in all the different technologies that make up the service; where those technologies are being delivered from, but the data sources that need to be mashed together in a common format to make intelligent decisions and that's really the problem we've been tackling. >> Alright, Surendra I wonder if you can bring us inside your, you talked to a lot of enterprise customers and it helped share their voices to in this space, not sure if they're probably not calling it AI ops there, but some of the big challenges that they're facing where you're helping them to meet those challenges and where ScienceLogic fits in. >> So certainly the, yes, they probably don't want to talk about it that. They want to make sure that their applications are always up and performing the way they expect them to be and at the same time, being responsive to changes because they need to respond to their business demands where the applications and what they have out there continually has to evolve, but at the same time be very available. So, all the way from even if you think about something that is traditional and is batch jobs which they have large processing of batch jobs; sometimes those things slow down and because now they're running through multiple systems and trying to understand the precedence and actions you take when a batch job is not running properly; as just one example, right? Then what actions we want, first diagnosing why it's not working well. Is it because some upstream system is not providing it the data it needs? Is it clogged up because it's waiting on instructions from some downstream system? And then how do you recover from this? Do you stop the thing? Just kill it or do you have to then understand what downstream further subsequent batch jobs needs to or other jobs will be impacted because you killed this one? And all of that planning needs to be done in some fashion and the actions taken such that if we have to take an action because something has failed, we take the right kind of action. So that's one type of thing where it matters for clients. Certainly, performance is one that matters a lot and even on the most modern of applications because it may be an application that's entirely sitting on the cloud, but it's using five or 10 different SAS providers. Understanding which of those interactions may be causing a performance issue is a challenge because you need to be able to diagnose that and take some actions against that. Maybe it's a log in or the IDN management service that you getting from somewhere else and understanding if they have any issues and whether that provider is providing the right kind of monitoring or information about their system such that you can reason over it and understand; okay my service which is dependent on this other service is actually being impacted. And all these kind of things, it's a lot of data and these need to come together. That's where the platform something like ScienceLogic would come into play. And then taking actions on top of that is now where a platform also starts to matter because you start to develop different types of what we call content. So we distinguish the space between an automation platform or a framework plus and the content you need to have that. And ScienceLogic they talk about power packs and these things you need to have that essentially call out the work flows of the kind of actions you need to take when you have the falling signature of a certain bundle of events that have come together. Can you reason over it to say okay, this is what I need to do? And that's where a lot of our focus is to make sure that we have the right content to make sure that our clients applications stay healthy. Did that get to, I think build on what you were talking about a bit? >> Absolutely. Yes, you've got, it's this confluence of a know how an intelligence from working with customers, solving problems for them and being proactive against the applications that really run their business; and that means you're constantly adjusting. These networks I think Surendra's said it before, they're like living organisms. Based on load, based on so many factors; they're not stagnant, they're changing all the time, unless you need the right tools to understand not just anomaly's what's different, but the new technologies that come in to augmenting solutions and enhancing them and how that effects the whole service delivery cadence. >> Mr. Surendra, I want to give you the final word. One of the things I found heartening when I look at this big wave of AI that's been coming is, there's been good focus on what kind of business outcomes customers are having. >> Okay. >> Because back in the big data wave I remember we did the survey's and it was like what was the most common use case? And it was custom. And what you don't want to have is a science project, right? >> Right. >> Yes. >> You actually want to get things done. So any kinds you can give as to, I know you understand we're still early in a lot of these deployments and rollouts but what do you seeing out there? What are some of the lighthouse use cases? >> So, certainly for us, right? We've been at using data for a while now to improve the service assurance for our clients and I'll be talking about this tomorrow, but one of the things we have done is we found that now in terms of the events and incidents that we deal with, we can automatically respond with essentially no human interference or involvement I should say about 55% of them. And a lot of this is because we have an engine behind it where we get data from multiple different sources. So, monitoring event data, configuration data of the systems that matter, tickets; not just incident tickets but change tickets and all of these things and a lot of that's unstructured information and you essentially make decisions over this and say okay, I know I have seen this kind of event before in these other situations and I can identify an automation whether it's a power pack, an automotor, an Ansible module, playbook. that has worked in the situation before in another client and these two situations are similar enough such that I can now say with these kind of events coming in, or group events I can respond to it in this particular fashion; that's how we keep pushing the envelope in terms of driving more and more automation and automated response such that the I would say certainly the easy or the trivial kinds of I shouldn't say trivial, but the easy kinds of events and monitoring things we see in monitoring are being taken care of even the more somewhat moderate ones where file systems are filling out for some unknown reasons we know how to act on them. Some services are going down in some strange ways we know how to act on them to getting to even more complex things like the batch job type of thing. Example I gave you because those can be some really pernicious things can be happening in a broad network and we have to be able to diagnose that problem, hopefully with smarts to be able to fix that. And into this we bring in lots of different techniques. When you have the incident tickets, change tickets and all of that, that's unstructured information; we need to reason over that using natural language understanding to pick out the right I'm getting a bit technical here, verp no pas that matter that say okay this probably led to these kind of incidents downstream from typical changes. In another client in a similar environment. Can we see that? And can we then do something proactively in this case. So those are all the different places that we're bringing in AI, call it whatever you want, AIML into a very practical environment of improving certainly how we respond to the incidents that we have in our clients environments. Understanding when I talked about the next level changes when people are making changes to systems, understanding the risks associated with that change; based on all the learning that we have because we are very large service provider with essentially, approximately 1,000 clients. We get learning over a very diverse and heterogeneous experience and we reason over that to understand okay, how risky is this change? And all the way into the compliance arena, understanding how much risk there is in the environment that our clients facing because they're not keeping up with patches or configurations for security parameters that are not as optimal as they could be. >> Alright, well Surendra we really appreciate you sharing a glimpse into some of your customers and the opportunities that they're facing. >> Thank you. >> Thanks so much for joining us. Alright and Dave, we'll be talking to you a little bit more later. >> Great, thanks for having me. >> All right. >> Thank you. >> And thank you as always for watching. I'm Stu Miniman and thanks for watching theCUBE. >> Thank you Dave. >> Thank you. (upbeat techno music)
SUMMARY :
Brought to you by ScienceLogic. And for this session I'm happy to welcome to the program of the presented to the employees at IBM are there. And that two major parts of that and though we come together Yeah, so Dave luckily we've got a one on one with you And that's the challenge that we've been focused on solving that you had the AI and underneath that you had that machine give the practitioner the ability to fix that in a effective the core of everything And in the old days, actually probably would have thought Dave, if you want to comment on that I've got some And so you got to have the right tooling in place and the It's the API economy today, so balancing that you want to the years; you can't rip and replace but the data sources that need to be mashed together in but some of the big challenges that they're facing where flows of the kind of actions you need to take when you have different, but the new technologies that come in to One of the things I found heartening when I look at this big Because back in the big data wave I remember we did the but what do you seeing out there? found that now in terms of the events and incidents that we Alright, well Surendra we really appreciate you sharing to you a little bit more later. And thank you as always for watching. Thank you.
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