Amol Phadke, Google Cloud & Day 2 Show Wrap with Danielle Royston | Cloud City Live 2021
(upbeat music) >> Okay, thanks to the studio there for the handoff. Appreciate it, we're here for breaking news and it's exciting that we have Amol Phadke who's the Managing Director, Google is breaking some hard news here, Dave, so we want to bring him in and get commentary while we end out day two. Obviously, the story here is CLOUD CITY. We are in the CLOUD CITY. Amol, thanks for coming on remotely into our physical hybrid set here. Thanks for coming on. >> Thank you, John. I'm very excited to be here, virtually at MWC 21. >> Oh we got Bon Jovi ready to play. Everyone's waiting for that concert and you're the only thing standing between Bon Jovi and all the great stuff so. >> A lot of people watching. >> Thanks for coming on. Seriously you guys got some big news first Ericsson partners with you guys on 5G, platform deal with anthesis as well as open O-ran Alliance. You guys are joining huge testament to the industry. Obviously Google with all your innovation you guys have in the big three cloud hyperscalers. Obviously you guys invented SRE, so you know, you're no stranger to large scale. What's the news? Tell us why this Ericsson news is so important. Let's start with the Ericsson announcement. >> Sure, so, John, I mean, we are very excited today to finally bring to the market, the strategic partnership that we've been building with Ericsson for the last few months, the partnership, the reason we feel this is very important to the industry is we are actually doing this in conjunction with very large CSPs. So it's not done in isolation. You in fact saw in the press release that we have already launched something together with Telecom Italia in Italy. Because you will see that also in the press. And really the partnership is on three pillars. Number one, how can CSPs monetize 5G and Edge, which is a real team at the moment using Google Clouds solutions like the Edge computing platform and Anthos and Ericsson's cutting Edge 5G components, 5G solutions. And if we can onboard this together at the CSPs, such as Telecom Italia, that creates massive time to market efficiency. So that's point 1. Speed and agility is key John. But then point 2, it also unlocks a lot of Edge use cases for a bunch of verticals, retail, manufacturing, healthcare and so on. Which we are already starting to launch together with Ericsson. And so that's the second pillar. And then the final pillar of course, is this continuous wave of Cloud Native innovation that you just highlighted, John. We are going to try and double down on it between ourselves and Ericsson to really try and create this Cloud Native Application Suite for 5G over time. >> Talk about the innovations around Cloud, because the message we're hearing this year at Mobile World Congress is that the public cloud is driving the innovation and you know, I can be a little bit over the top and say, so the Telcos are slow, they're like glaciers, they move slow, but they're just moving packets. They are there, they're moving the network around. The innovation is happening on top. So there's some hardened operations operating the networks. Now you have a build concept, Cloud Native enables that. So you've got containers. You can put that, encapsulate that older technology and integrate it in. So this is not a rip and replace, someone has to die to win. This is a partnership with the Telco's. Can you share your thoughts on that piece? >> Spot on, John, spot on. We, we believe that it's a massive partnership opportunity. There's zero conflict or tensions in this sort of ecosystem. And the reason for that is, when you talk about that containerization and write once and deploy everywhere type architecture, that we are trying to do, that's where the Cloud Native be really helps. Like when you create Ericsson 5G solutions with the operators at Telecom Italia, once you build a solution, you don't have to worry about, do I need to go create that again and again for every deployment. As long as you have Anthos and Ericsson working, you should be able to have the same experience everywhere. >> Yeah, John and I talk all the time in theCUBE about how developers are really going to drive the Edge. You're clearly doing that with your Distributor Cloud, building out a Telco Cloud. I wonder if you could talk a little bit more about how you see that evolving and a lot of the AI that's done today is done in the cloud. A lot of modeling being done. When you think about Edge, you think about AI inferencing, you think about all these monetization opportunities. How are you thinking about that? >> Sure, so I think David first of all, it's a fantastic segue into how we are looking at analytics at the Edge, right? So we, we have realized that (connection disruption) is a very, very data computing, heavy operation. So certainly the training of the models is still going to stay in cloud for the foreseeable future. But the influencing part that you mentioned, is definitely something that we can offload to the Edge? Why is that so important? In the pandemic era think of running a shop or a factory floor, completely autonomously, needing zero minimal human intervention. And if you want to look at an assembly line and look at AI influencing as a way to find out assembly line defects on products and manufacturing. That's a very difficult problem to solve unless you actually create those influencing models at the Edge. So creating that ecosystem of an Ericsson and a Google Cloud and Telecom Italia type of carrier, gives you that Edge placement of the workloads that would fit right next to a factory floor in our manufacturing example. And then on top of that, you could run the AI influencing to really put in the hands of the manufacturer, a visual inspection capability to just bring this to life. >> Great, thank you for that and now the other piece of the announcement of course is the open, Open RAN. We've been talking about that all week. And you know, you well remember when Cloud first came out, people were concerned about security. And of course, now everybody's asking the question, can we still get the reliability and the security that we're used to with the Telcos? And of course over time we learned that you guys actually are pretty good at security. So how do you see the security component? Maybe first talk about the Open RAN piece, why that's important and how security fits? >> Sure, so first of all, Open RAN is something that we have taken great interest in the last year or so as it started evolving. And the reason for that is fairly simple Dave, this aggregation of networks has been happening for some time. In the radio layer, we believe that's the final frontier of sort of unlocking and desegregating that radio layer. And why is that so important? 80% of the operators spent globally is on radio across the entire infrastructure, 80% is on radio. If you disaggregate that and if you created synergies for your CSP partners and clients, that meant you have standard purpose hardware, standard purpose software with open interfaces, number one, massive difference in PCO. Number two, the supply chain gets streamlined and becomes a really, really simple way to manage a fairly large distribution, that's about to get larger with 5G and the capillarity that 5G needs. You're thinking of tens of thousands of micro cells and radio cells going everywhere. And having that kind of standardized hardware, software with open interfaces, is an extremely important cost dimension too. And on the revenue side, the things is that, the reason we got so excited with Open RAN was, you can now run a lot of API's on the radio net itself. That then suddenly brings a whole developer community on the radio layer. That then helps you do a bunch of things like closed loop automation for network optimization, as well as potentially looking at monetization opportunities by hyper personalizing yours and mine experiences at a device level, from the cell tower. And so that really is what is driving us towards this Open RAN type announcement. >> John: Amol, we've only got a minute and a half. I want to get your thoughts real quick on, on Open Source and the innovation. Danielle Royston, who's the CEO of TelcoDr. She's a keynote today. And she mentioned that the iPhone, 14 years ago was launched, okay. And you think about Open, and you mentioned proprietary with the 5G, and having O-RAN be more commodity and industry standard. That's going to lower the costs, increase the surface area of infrastructure. Everyone wins, 'cause everyone wants more connectivity options. Software is going to be the key to success for the telco industry, and Open Source is driving that. Is Android the playbook that you guys pioneered, obviously at Google with phones was very successful. How is that a playbook or an indicator to what could happen at Telco? >> Absolutely John and the parallel analogy that you raised is spot on. We believe in the Telco world Anthos multi-cloud as a unifying software development layer and the app development platform is the way that people will start to drive this innovation. Whether it's a radio or whether it's in the core or whether it's on the IT side of house. Same software running everywhere. That really allows you that whole CICD SRE type development models that we are familiar with, but on the telecom side. And that's where we are seeing some massive innovation opportunities for start, that would be for systems to come on. >> John: That's great stuff. And I was, just heard someone in the hallway just yesterday and say, you want to be the smartphone. You don't want to be the Blackberry going forward. That's pretty much the consensus here at Mobile World Congress. Amol, thank you for coming on and sharing the hard news with Google. Congratulations on the Ericsson Anthos platform deal as well as the Open Ran Alliance. Congratulations, good to see you. And by the way, you'll be keynoting tomorrow on theCUBE featured segments. So, watch that interview. >> Thank you John. Glad to be here. >> Thanks Amol. Managing Director, Telecom Industry Solutions at Google, obviously player, he's managing that business. Big opportunities for Google because they have the technology to get the chops Dave, and we're going to now, bring on Danielle Royston, she's here, I want to bring her up on the stage. Bon Jovi's about to go on, behind us, Bon Jovi's here. And this is like a nightclub, small intimate setting here in CLOUD CITY. Dave, Bon Jovi is right there. He's going to come on stage after we close down here, but first let's bring up the CEO of TelcoDR, Danielle Royston, great to see you. She's hot off the keynote. We're going to see you have a mic. Great to see you. >> Oh, it's great to be here, awesome. >> We are going to see you tomorrow for an official unpacking of the keynote but thanks for coming by and closing, swinging by. >> I know we're closing down the show. It's been a big, it's been a big day today at MWC and in CLOUD CITY. >> And Bon Jovi by the way. >> Day two, I mean really starting to get packed. >> And I mean, everyone's coming in, the band's warming up. You can kind of hear it. I think Elon Musk is about to go on as well. So I mean, it's really happening. >> A lot of buzz about CLOUD CITY out there in the hallway. >> Yeah, yeah. No, I mean, I think everyone's talking about it. I'm really, really excited >> Awesome. >> with how it's going, so yeah. >> Well, this is awesome, while we got you here, we want to put you to work being theCUBE analyst for this segment. You just heard Google. We broke them in for a breaking news segment. Obviously, so hard news Ericsson partnership. We're in the, actually former Ericsson booth. They're not even here, it's now the TelcoDR booth. But that's and then Open RAN again, Open Source. You got 5G, you got Open Source all happening. What's your take on this, as you're seeing this? >> Yeah, I think, you know, there's two big, and I talked about in my keynote this morning, there's two big technological changes that are happening in our industry simultaneously. And I don't think we could have had it--MWC 21 I certainly wanted to make it about the Public Cloud. I think I'm sort of successful in doing that. And I think the other piece is Open RAN, right? And I think these two big shifts are happening and I'm really thrilled about it. And so, yeah, we saw these two. >> I loved your keynote, we were here live Chloe was here filling in for Dave while Dave was going to do some research and getting some breaking stories. But you are on stage and, and we were talking, Chloe's like, these there's trillions of dollars, John on the table. And I was making the point, that the money's in the middle of the table and it's changing hands. If people don't watch it. And then you onstage said there's trillions of dollars. This is a real competitive shift with dollars on the table. And you've got cultural collision. You've got operators and builders trying to figure out, it feels like Dev Ops is coming in here. >> Yeah. >> I mean, what's the, what's the holistic vibe. What's the, what do you? >> Yeah, I think my message is about, we can use the software and specifically the software, the Public Cloud, to double your ARPU without massive CapEx expenditure. And I think the CSPs has always viewed to get the increase in ARPU, I got to build out the network, I got to spend a lot of money. And with these two technologies that require might be dropped. And then in exchange for doubling our ARPU, why not? We should do that absolutely. >> You know, your message has been pretty clear that you got to get on, on the wave. Got to ride the wave or become driftwood, as John said yesterday. And I think it's pretty, it's becoming pretty clear that that's the case for the Telcos. I feel like Danielle, that they entering this decade, perhaps with a little bit more humility than they have in the past. And then, you know, maybe, especially as it relates to developers, we're just talking about building out the Edge. We always talk about how developers are really going to be a key factor in the Edge and that's not a wheelhouse necessarily. But, obviously they're going to have to partner for that to have, they're going to have to embrace Cloud Native. I mean, it's pretty clear that your premise is right on. We'll see how long it takes, but if it, if they don't move fast, you know, what's going to happen. >> Well, I think you look at it from the enterprise's perspective. And we just heard Google talking about it. We need to provide a tech stack that the enterprises can write to. Now, historically they haven't had this opportunity. Historically that CSPs have provided it. Now you're going to be able to write against Google's tech stack. And that's something that is documented, it's available. There's developers out there that know it. And so I think that's the big opportunity. And this might be the, the big use case that they've been looking for with 5G and looking forward to 6G. And so it's a huge opportunity for CSPs to do that. >> I think that's an important point because you've got to place bets. And if I'm betting on Google or Amazon, Microsoft, okay, those are pretty safe bets, right? Those guys are going to be around. >> You think, I mean, they're like, no, don't trust the hyperscalers. And like, are you guys nuts? They're safe bets. >> Safe bets in terms of your investment in technology, now you've got to move fast. >> Yeah. >> That's the other piece of it. >> Yeah. >> You got to change your business model. >> Yeah, absolutely. >> Well, you got to be in the right side of history too. I mean, I mean, what is trust actually really mean? Does Snowflake trust Amazon? It sure did to get them where they are, but now they're looking at other options. >> That is a great example, John. It really is, because there's a company that can move fast, but the same time they compete, but the same time they add incremental value. >> And so here you can see the narrative like, oh no, we're partnering, Telcos aren't bad. No one needs to die to bring in the new. Well containers do, will help them manage that operational legacy, but culturally, if they don't move, they're going to have an asset that'll get rolled up into a SPAC or some sort of private equity deal. And because the old model of building CapEx and extract rents is kind of shifting because the value's shifting. So to me, I think this is what we're watching still kind of unknown. Danielle, love to get your thoughts on this, because if the value shifts to services, which is a consumption model like cloud, >> Yeah. >> Then you can, don't have to try to extract the rents out of the CapEx or, what's your thought, I mean. >> Yeah, I don't think you need to own the entire stack to provide value. And I think that's where we are today in Telco, right. There, I mean, nuts and bolts of the stack, the servers, you know, the cabling, everything. And I'm like, stand on the shoulders of these amazing tech giants that have solved, you know, mega data centers, right? Huge data centers at scale, and just leverage their investment and for your own benefit and start to focus, and we heard Amol talking about it, starts to focus on your subscriber and driving a great experience for us, right, yeah. >> Well, you've talking about that many times that you exhibit, you're right. If the conversation has been, has to go beyond, okay, we're just connectivity. It's got to be going to be like, oh, it's $10 a month for roaming charges, ah great. >> Yeah. >> Tick that box. Right, it's those value added services that you're talking about. And it's an infinite number of those that can be developed. And that's where the partnerships come in, and creativity in the industry. It's just a blank piece of paper. >> Well, we, you know, everyone thinks Google knows everything about you, right? We've had the experience on our phone where they're serving up ads and you're like, how did it? >> Facebook does? >> Right, Facebook. But you know who knows more about us than, than Google or your mother even, your Telco. >> Yeah. >> You take your phone with you everywhere, right? And so it's time to start unlocking all of that knowledge and using it to provide a really great experience. >> And by the way, congratulations on the CEO to Totogi and the investment hundred million dollars. That's a game changer statement again, back to the billing and the there's a good, there's a whole new team, even all up and down the stack of solutions, great stuff. And I want to unpack that tomorrow. I want to hold that, we're going to meet tomorrow. I want to, I want to, leave that here. >> Stay in the data for a second, because you made the point before in your keynote as well. That, it's that it's the data that drives the value of these companies. Why is it that Apple, Amazon, Google, Facebook now trillion dollar valuations. >> Yeah. >> It's all about the data and the Telco's have the data, but they can't figure out how to turn that into valuation. >> I think there's two parts of the data problem, which is number one, the data is trapped in on-premise, siloed systems that are not open. You can't connect them, and you certainly do it without, and we talked about it, I think yesterday, you know, millions of dollars of expenditure. And I think the other piece that's really interesting is that it's not connected to a mechanism to get it out in a timely manner, right? This is data that's aging by the minute. And when it takes you weeks to get the insight , it's useless, right? And so to Totogi, we announced the launch of Totogi, I'll get a little to Totogi plug in there, right. Totogi is connecting that insight to the charger, to the engagement engine and getting it out to subscribers. I think that's the beginning of this connection. I think it's a hard problem to solve it would have been solved already. But I think the key is leveraging the Public Cloud to get your data out of on-premise and, and mashing it up against these great services that Google and Azure and Amazon provide to drive it into the hands of the subscriber, make it very actionable, very monetizeable right at the end, that's what they want. More ARPU, more revenue, right. And you know, we've heard some keynotes from GSMA yesterday, some big, big guys, you know, talking about how, you know, it's not fair that these other communication platforms are not regulated. You know, Telco is heavily regulated and they're like, it's not fair. And I'm like, yep, it's not fair. That's life, right? >> Yeah. >> Stop complaining about it and start treating your customers better. So they're happy to give you more money. >> Yeah, and I think that's the message about the assets too. But one thing I will say, this Mobile World Congress, is that we've been having a lot of fun here in CLOUD CITY. I have to ask you a personal question. Have you been having fun? You look great on the keynote. You have a spring to your step. CLOUD CITY is beautiful, spectacular here. >> Yeah. >> Give us some highlights, personal highlights from your trip so far. >> Well number one, I'm, I'm psyched that the keynote is delivered in and done. I mean, I think it takes my blood pressure down a bunch. You know, the spring in my step, I wore these fun little tennis shoes and that was really fun. But yeah, I'm having, I'm having, I think a lot of things, great conversations. Yes the attendance is reduced. You know, usually you see hundreds of people from the big group carriers, especially the European groups. And yeah the attendance is reduced, but the senior guys are here, right? The senior leadership teams are in the booth. We're having meetings, we're having amazing conversations. I think the last year we really did live a decade in one year. I think they woke up to the power of the Public Cloud. >> Yeah, the pandemic helped. >> I mean, there was no way that they got business done without cloud based tools. And I think the light bulb went off. I think I'm right in the right moment. It's Awesome. >> Do you think that, do you think that they'll think in there, like left money on the table because you look at the pandemic, there were three categories of companies, losers, people who held the line, struggled and then winners. >> Yeah. >> Big time tale wind, booming. Obviously the Zooms of the world. Telco's did well. They were up and running, business was good. You think they might've left some money on the table? They could have done more. >> Yeah, I think the ones that were, you know, people talk about digital transformation. We're digital Telco, we're digitally enabled. And I think the pandemic really tested this, right. Can you deliver a contactless SIM? Or do you need to go to a store, in person, to get to go pick it up? And I had a broken SIM during the pandemic. My provider made me go to the store and I'm like, is it even open? And so I heard other stories of Telcos that were very digitally enabled, right. They were using Uber to deliver sims, and all sorts of fun, crazy stuff and new ideas. And they were able to pivot. >> Agile. >> Right, agile. And so I think, I think that was a really big wake up call. >> Telemedicine booming. >> So If you were in a digital business during the pandemic. In general, you're out of business, maybe unless you were a Telco, but I think you're right. I think the light bulb went off. It was an aha moment. And they said, oh-oh, if we don't move. >> I mean, I am not kidding right. As an ex-CEO where I was trying to collect signatures on renewals, right. Here's a DocuSign, which for the world is like, duh. I mean, our school uses DocuSign. I had telcos that required an in-person signature, >> Facts. >> Right, in some country, once a month on Tuesday between 10 and 2. And I'm like, how are you doing business, like that? That's like the dark ages. >> Yeah, this is where the crypto guys got it right, with know your customer. >> Yeah, right. >> 'Cause they have the data. >> Well, they had to, they had to. >> Yeah. >> There's a lot of things that's going wrong on crypto, we don't want to, we could do a whole show on that. But Danielle great to have you drop by, obviously Bon Jovi's here. How did you get Bon Jovi? Huge fan, New Jersey boy, Patriot's fan. >> Yeah. >> Dave, we love him. >> Fantastic. >> Well, I mean, who doesn't love Bon Jovi, right? We knew we wanted a rocker, right. Rock and roll is all about challenging the status quo. That, I mean, since the beginning and that's what we're doing here, right. We're really challenging like the way things have been done in Telco. Kind of just shattering the glass ceiling in lots of different ways, right. Calling the old guys dinosaurs. I'm sure those guys love me, right. I mean, how much do they hate me right now? Or they're like that girl, oh, so. >> Well we are punk rock. They're rock and roll. >> Right, right. I mean, maybe we should have gotten The Clash, right. Black Flag, right. I'm a little bit older than you. >> Bon Jovi's good. >> Right, we'll go with Bon Jovi. >> We like both of them. >> Accessible, right. >> Once's more conservative rock and roll still edgy. >> Yeah, so really excited to get them here. I've met him before. And so hopefully he'll remember me. It's been a couple of years since I've seen him. So can't wait to connect with him again. I think we have Elon Musk coming up and that's going to be, it's always exciting to hear that guy talk, so yeah. >> Yeah, he's going to be inspiration he'll talk space, SpaceX, >> Oh yeah. >> And possibly Starlink. >> Talking about the edge. >> Starlink, right. >> Starlink. >> I mean, those guys are launching rockets and deploying satellites and I think that's really interesting for rural. For rural right in Telco, right. Being able to deploy very quickly in rural where the, maybe the cost, you know, per gig doesn't make sense. You know, the cost for deployment of tower, I think. I mean, that's an interesting idea right there, yeah. >> It's exciting, he's inspirational. I think a lot of people look at the younger generation coming in and saying why are we doing things? A lot of people are questioning and they see the cloud. They're saying, oh, A or B, why are we doing this? This is such an easier, better way. >> Yeah. >> I think eventually the generation shifts in time. >> It's coming. I'm so excited to be a part of it, yeah. >> Great, great leadership. And I want to say that you are real innovative, glad to have us here and presenting with you here. >> Awesome team. >> I'm excited to have you guys. We talked last night about how great this partnership is, so thank you so much, yeah. >> TheCUBE, theCUBE's rocking inside the CLOUD CITY. The streets of the CLOUD CITY are hustling and booming. >> Packed. >> Packed in here. All stuff, great stuff. Thanks for coming on. >> Yep, thanks so much. >> Bon Jovi is here, we got a shot of Bon Jovi. Do we have a screenshot of Bon Jovi? >> Yeah, there it is. >> There it is, yeah. >> Okay, he's about to come on stage and we're going to take a break here. We're going to take and send it back to Adam and the team in the studio. Thanks guys.
SUMMARY :
and it's exciting that we have Amol Phadke Thank you, John. and all the great stuff so. in the big three cloud hyperscalers. And so that's the second pillar. and say, so the Telcos are And the reason for that is, and a lot of the AI that's done today hands of the manufacturer, that and now the other piece And on the revenue side, And she mentioned that the iPhone, and the app development platform and sharing the hard news with Google. Glad to be here. We're going to see you have a mic. We are going to see you tomorrow I know we're closing down the show. I mean really starting to get packed. the band's warming up. A lot of buzz about CLOUD No, I mean, I think it's now the TelcoDR booth. And I don't think we could have had it--MWC 21 that the money's in I mean, what's the, the Public Cloud, to double your ARPU that that's the case for the Telcos. that the enterprises can write to. Those guys are going to be around. And like, are you guys nuts? Safe bets in terms of your You got to change your It sure did to get them where they are, but the same time they compete, And because the old the rents out of the CapEx the servers, you know, that you exhibit, you're right. and creativity in the industry. But you know who knows more about us than, And so it's time to start congratulations on the CEO to Totogi That, it's that it's the data and the Telco's have the data, And so to Totogi, we announced So they're happy to give you more money. I have to ask you a personal question. personal highlights from your trip so far. that the keynote is delivered in and done. And I think the light bulb went off. left money on the table because Obviously the Zooms of the world. And I think the pandemic And so I think, I think that business during the pandemic. for the world is like, duh. And I'm like, how are you with know your customer. But Danielle great to have you drop by, Kind of just shattering the glass ceiling Well we are punk rock. I mean, maybe we should have rock and roll still edgy. I think we have Elon Musk coming maybe the cost, you know, at the younger generation the generation shifts in time. I'm so excited to be a part of it, yeah. And I want to say that I'm excited to have you guys. The streets of the CLOUD CITY are Thanks for coming on. Bon Jovi is here, we and the team in the studio.
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Joni Klippert, StackHawk | theCUBE on Cloud 2021
>>from around the globe. It's the Cube presenting Cuban cloud brought to you by silicon angle. Welcome to the cubes event. Virtual event. Cuban Cloud. I'm John for your host. We're here talking to all the thought leaders getting all the stories around Cloud What's going on this year and next today, Tomorrow and the future. We gotta featured startup here. Jonah Clipper, who is the CEO and founder of Stack Hawks. Developing security software for developers to have them put security baked in from the beginning. Johnny, thanks for coming on and being featured. Start up here is part of our Cuban cloud. Thanks for joining. >>Thanks so much for having me, John. >>So one of our themes this year is obviously Cloud natives gone mainstream. The pandemic has shown that. You know, a lot of things have to be modern. Modern applications, the emerald all they talked about modern applications. Infrastructure is code. Reinvent, um is here. They're talking about the next gen enterprise. Their public cloud. Now you've got hybrid cloud. Now you've got multi cloud. But for developers, you just wanna be building security baked in and they don't care where the infrastructure is. So this is the big trend. Like to get your thoughts on that. But before we jump in, tell us about Stack Hawk What you guys do your founded in 2019. Tell us about your company and what Your mission is >>Awesome. Yeah, our mission is to put application security in the hands of software developers so that they can find and fix upset books before they deployed a production. And we do that through a dynamic application scanning capability. Uh, that's deployable via docker, so engineers can run it locally. They can run it in C I C. D. On every single PR or merge and find bugs in the process of delivering software rather than after it's been production. >>So everyone's talking about shift left, shift left for >>security. What does >>that mean? Uh, these days. And what if some of the hurdles that people are struggling with because all I hear is shift left shift left from, like I mean, what does What does that actually mean? Now, Can you take us through your >>view? Yes, and we use the phrase a lot, and I and I know it can feel a little confusing or overused. Probably. Um, When I think of shift left, I think of that Mobius that we all look at all of the time, Um, and how we deliver and, like, plan, write code, deliver software and then manage it. Monitor it right like that entire Dev ops workflow. And today, when we think about where security lives, it either is a blocker to deploying production. Or most commonly, it lives long after code has been deployed to production. And there's a security team constantly playing catch up, trying to ensure that the development team whose job is to deliver value to their customers quickly, right, deploy as fast as we can, as many great customer facing features, um there, then, looking at it months after software has been deployed and then hurrying and trying to assess where the bugs are. And, um, trying to get that information back to software developers so that they can fix those issues. Shifting left to me means software engineers are finding those bugs as their writing code or in the CIA CD pipeline long before code has been deployed to production. >>And so you guys attack that problem right there so they don't have to ship the code and then come back and fix it again. Or where we forgot what the hell is going on. That point in time some Q 18 gets it. Is that the kind of problem that that's out there? Is that the main pain point? >>Yeah, absolutely. I mean a lot of the way software, specifically software like ours and dynamic applications scanning works is a security team or a pen tester. Maybe, is assessing applications for security vulnerability these, um, veteran prod that's normally where these tools are run and they throw them back over the wall, you know, interrupting sprints and interrupting the developer workflow. So there's a ton of context switching, which is super expensive, and it's very disruptive to the business to not know about those issues before they're in prod. And they're also higher risk issues because they're in fraud s. So you have to be able to see a >>wrong flywheel. Basically, it's like you have a penetration test is okay. I want to do ship this app. Pen test comes back, okay? We gotta fix the bug, interrupts the cycle. They're not coding there in fire drill mode. And then it's a chaotic death spiral at that point, >>right? Or nothing gets done. God, how did >>you What was the vision? How did you get here? What? How did you start? The company's woke up one morning. Seven started a security company. And how did what was the journey? What got you here? >>Sure. Thanks. I've been building software for software engineers since 2010. So the first startup I worked for was very much about making it easy for software engineers to deploy and manage applications super efficiently on any cloud provider. And we did programmatic updates to those applications and could even move them from cloud to cloud. And so that was sort of cutting my teeth and technology and really understanding the developer experience. Then I was a VP of product at a company called Victor Ops. We were purchased by spunk in 2018. But that product was really about empowering software engineers to manage their own code in production. So instead of having a network operations center right who sat in front of screens and was waiting for something to go wrong and would then just end up dialing there, you know, just this middle man trying to dial to find the person who wrote the software so that they can fix it. We made that way more efficient and could just route issues to software engineers. And so that was a very dev ops focused company in terms of, um, improving meantime to know and meantime to resolve by putting up time in the hands of software engineers where it didn't used to live there before it lived in a more traditional operations type of role. But we deploy software way too quickly and way too frequently to production to assume that another human can just sit there and know how to fix it, because the problems aren't repeatable, right? So So I've been living in the space for a long time, and I would go to conferences and people would say, Well, I love for, you know, we have these digital transformation initiatives and I'm in the security team and I don't feel like I'm part of this. I don't know. I don't know how to insert myself in this process. And so I started doing a lot of research about, um, how we can shift this left. And I was actually doing some research about penetration testing at the time, Um, and found just a ton of opportunity, a ton of problems, right that exist with security and how we do it today. So I really think of this company as a Dev Ops first Company, and it just so happens to be that we're taking security, and we're making it, um, just part of the the application testing framework, right? We're testing for security bugs, just like we would test for any other kind of bucks. >>That's an awesome vision of other great great history there. And thanks for sharing that. I think one of the things that I think this ties into that we have been reporting aggressively on is the movement to Dev Stack Up, Dev, Ops Dev SEC Ops. And you know, just doing an interview with the guy who stood up space force and big space conversation and were essentially riffing on the idea that they have to get modern. It's government, but they got to do more commercial. They're using open source. But the key thing was everything. Software defined. And so, as you move into suffer defined, then they say we want security baked in from the beginning and This is the big kind of like sea level conversation. Bake it in from the beginning, but it's not that easy. And this is where I think it's interesting where you start to think, uh, Dev ops for security because security is broken. So this is a huge trend. It sounds easy to say it baked security in whether it's an i o T edge or multi cloud. There's >>a lot >>of work there. What should people understand when they hear that kind of platitude of? I just baked security and it's really easy. It's not. It's not trivial. What's your thoughts on >>that? It isn't trivial. And in my opinion, there aren't a lot of tools on the market that actually make that very easy. You know, there are some you've had sneak on this program and they're doing an excellent job, really speaking to the developer and being part of that modern software delivery workflow. Um, but because a lot of tools were built to run in production, it makes it really difficult to bake them in from the beginning. And so, you know, I think there are several goals here. One is you make the tooling work so that it works for the software engineer and their workflow. And and there's some different values that we have to consider when its foreign engineer versus when it's for a security person, right? Limit the noise, make it as easy as possible. Um, make sure that we only show the most critical things that are worth an engineer. Stopping what they're doing in terms of building business value and going back and fixing that bugs and then create a way to discuss in triage other issues later outside of the development. Workflow. So you really have to have a lot of empathy and understanding for how software is built and how software engineers behave, I think, in order to get this right. So it's not easy. Um, but we're here and other tools air here. Thio support companies in doing that. >>What's the competitive strategy for you guys going forward? Because there's a big sea change. Now I see an inflection point. Obviously, Cove it highlights. It's not the main reason, but Cloud native has proven it's now gone mainstream kubernetes. You're seeing the big movement there. You're seeing scale be a huge issue. Software defined operations are now being discussed. So I think it's It's a simple moment for this kind of solution. How are you guys going to compete? What's what's the winning strategy? How are you guys gonna compete to win? >>Yeah, so there's two pieces to that one is getting the technology right and making sure that it is a product that developers love. And we put a ton of effort into that because when a software engineer says, Hey, I'd love to use the security product, right? CSOs around the world are going to be like, Yes, please. Did a software engineer just ask me, You have the security product. Thank you, Right. We're here to make it so easy for them and get the tech right. And then the other piece, in terms of being competitive, is the business model. There were something like, I don't You would know better than me, but I think the data point I last saw was like 1300 venture backed security companies since 2012 focused on selling to see SOS and Fortune 2000 companies. It is a mess. It's so noisy, nobody can figure out what anybody actually does. What we have done is said no, we're going to take a modern business model approach to security. So you know, it's a SAS platform that makes it super easy for a software engineer or anybody on the team to try and buy the software. So 14 day trial. You don't have to talk to anybody if you don't want Thio Awesome support to make sure that people can get on boarded and with our on boarding flow, we've seen that our customers go from signing up to first successful scan of their platform or whatever app they chose to scan in a knave ridge of about 10 minutes. The fastest is eight, right? So it's about delivering value to our customers really quickly. And there aren't many companies insecurity on the market today. That do that? >>You know, you mentioned pen test earlier. I I hear that word. Nice shit. And, like, pen test penetration test, as it's called, um, Sock reports. I mean, these are things that are kind of like I got to do that again. I know these people are doing things that are gonna be automated, but one of the things that cloud native has proven as be killer app is integrations because when you build a modern app, it has to integrate with someone else. So there you need these kind of pen tests. You gotta have this kind of code review. And as code, um, is part of, say, a purpose built device where it's an I o T. Edge updates have toe happen. So you need mawr automation. You need more scale around both updating software to, ah, purpose built device or for integration. What's your thoughts in reaction to that? Because this is a riel software challenge from a customer standpoint, because there are too many tools out there and every see so that I talk to says, I just want to get rid of half the tools consolidate down around my clouds that I'm working through my environment and b'more developer oriented, not just purchasing stuff. So you have all this going on? What's your reaction to that? You got the you know, the integration and you've got the software updates on purpose built devices. >>Yeah, I mean, we I make a joke a little bit. That security land is like, you know, acronyms. Dio there are so many types of security that you could choose to implement. And they all have a home and different use cases that are certainly valuable toe organizations. Um, what we like to focus on and what we think is interesting and dynamic application scanning is because it's been hard toe automate dynamic application for especially for modern applications. I think a lot of companies have ignored theon pertuan ity Thio really invest in this capability and what's cool about dynamic. And you were mentioning pen testing. Is that because it's actively attacking your app? It when you get a successful test, it's like a It's like a successful negative test. It's that the test executed, which means that bug is present in your code. And so there's a lot less false positives than in other types of scanning or assessment technologies. Not to say there isn't a home for them. There's a lot of we could we could spend a whole hour kind of breaking down all the different types of bugs that the different tools confined. Um, but we think that if you want to get started developer first, you know there's a lot of great technologies. Pick a couple or one right pick stack hawk pick, sneak and just get started and put it in your developer workflow. So integrations are super important. Um, we have integrations with every C I C. D provider, making it easy to scan your code on every merge or release. And then we also have workflow integrations for software engineers associated with where they want to be doing work and how they want to be interrupted or told about an issue. So, you know, we're very early to market, but right out of the gate, we made sure that we had a slack integration so that scans are running. Or as we're finding new things, it's populating in a specific slack channel for those engineers who work on that part of the app and you're a integration right. If we find issues, we can quickly make tickets and route them and make sure that the right people are working on those issues. Eso That's how I think about sort of the integration piece and just getting started. It's like you can't tackle the whole like every accurate, um, at once like pick something that helps you get started and then continue to build out your program, as you have success. >>A lot of these tools can they get in the hands of developers, and then you kind of win their trust by having functionality. Uh, certainly a winning strategy we've seen. You know, Splunk, you mentioned where you worked for Data Dog and very other tools out there just get started easily. If it's good, it will be used. So I love that strategy. Question. I wanna ask you mentioned Dr earlier. Um, they got a real popular environment, but that speaks to the open source area. How do you see the role of open source playing with you guys? Is that gonna be part of your community outreach? Does the feed into the product? Could you share your vision on how stack hawks engaging and playing an open source? >>Yeah, absolutely. Um So when we started this company, my co founders and I, we sat down and said here, What are the problems? Okay, the world doesn't need a better scanner, right? If you walk the floor of, ah, security, uh, conference. It's like our tool finds a million things and someone else is. My tool finds a million and five things. Right, And that's how they're competing on value. It's really about making it easy to use and put in the pipeline. So we decided not to roll. Our own scanner were based on an open source capability called Zap the Set Attack Proxy. Uh, it is the most the world's most downloaded application scanner. And, uh, actually we just hired the founder of Zap to join the Stack Hawk team, and we're really excited to continue to invest in the open source community. There is a ton of opportunity to grow and sort of galvanize that community. And then the work that we do with our customers and the feedback that we get about the bugs we find if there, ah, false positive or this one's commonly risk accepted, we can go back to the community, which were already doing and saying, Hey, ditch this rule, Nobody likes it or we need to improve this test. Um, so it's a really nice relationship that we have, and we are looking forward to continuing to grow that >>great stuff. You guys are hot. Start of love. The software on security angle again def sec. Cox is gonna be It's gonna be really popular. Can you talk about some of the customer success is What's the What's the feedback from customers? Can you share some of the use cases that you guys are participating in where you're winning? You mentioned developers love it and try It can just give us a couple of use cases and examples. >>Yeah. Ah, few things. Um ah, lot of our customers are already selling on the notion. Like before we even went to G A right. They told all of their customers that they scan for security bugs with every single release. So in really critical, uh, industry is like fintech, right. It's really important that their customers trust that they're taking security seriously, which everybody says they dio. But they show it to their customers by saying here, every single deploy I can show you if there were any new security bugs released with that deploy. So that's really awesome. Other things We've heard our, uh, people being able to deploy really quickly thio the Salesforce marketplace, right? Like if they have toe have a scan to prove that that they can sell on Salesforce, they do that really rapidly. Eso all of that's going really well with our customers. >>How would I wanna How would I be a customer if I was interested in, um, using Stack Hawks say we have some software we wanna stand up, and, uh, it's super grade. And so Amazon Microsoft Marketplace Stairs Force They'll have requirements or say I want to do a deal with an integration they don't want. They want to make sure there's no nothing wrong with the code. This seems to be a common use case. How doe I if I was a customer, get involved or just download software? Um, what's the What's the procurement? What's the consumption side of it looked like, >>Yeah, you just go to Stockholm dot com and you create an account. If you'd like to get started that way so you can have a 14 day free trial. We have extremely extensive documentation, so it's really easy to get set up that way. You should have some familiarity. Or grab a software engineer who has familiarity with a couple of things. So one is how to use Docker, right? So Docker is, ah, deployment mechanism for the scanner. We do that so you can run it anywhere that you would like to, and we don't have to do things like pierce firewalls or other protective measures that you've instrumented on your production environment. You just run it, um, wherever you like in your system. So locally, C I c d So docker is an important thing to understand the way we configure our scanner is through a, um, a file. So if you are getting a scan today, either your security team is doing it or you have a pen tester doing it. Um, the whole like getting ready for that engagement takes a lot of time because the people who are running the tests don't know how the software was built. So the way we think about this is, just ask them. So you just fill out a Yamil file with parameters that tell the scanner what to dio tell it how to authenticate and not log out. Um, feed us an A p. I speak if you want, so weaken super efficiently, scan your app and you can be up and running really quickly, and then that's it. You can work with our team at any time if you need help, and then we have a really efficient procurement process >>in my experience some of the pen tests of firms out there, is it? It's like the house keeping seal of approval. You get it once and then you gotta go back again. Software change, new things come in. And it's like, Wait a minute, what's the new pen test? And then you to write a check or engaged to have enough meeting? I mean, this is the problem. I mean, too many meetings. Do you >>guys solve that problem? Do >>you solve that problem? >>We solve a piece of that problem. So I think you know, part of how I talk about our company is this idea that we live in a world where we deploy software every single day. Yet it seems reasonable that once a year or twice a year, we go get a pen test where human runs readily available, open source software on our product and gives us a like, quite literal. Pdf of issues on. It's like this is so intellectually dishonest, like we deploy all of the time. So here's the thing. Pen tests are important and everybody should do them. But that should not be the introduction to these issues that are also easy to automate and find in your system. So the way we think about how we work with pen testers is, um, run, stack hawk or zapped right in an automated fashion on your system, and then give that, give the configuration and give the most recent results to your pen tester and say, Go find the hard stuff. You shouldn't be cutting checks for $30,000 to a pen tester or something that you could easily meet in your flare up. Klein. You could write the checks for finding finding the hard stuff that's much more difficult to automate. >>I totally agree. Final question. Business model Once I get in, is it a service software and services? A monthly fee? How do you guys make money? >>Yep, it is software as a service, it is. A monthly fee were early to market. So I'm not going to pretend that we have perfectly cracked the pricing. Um, but the way that we think about this is this is a team product for software engineers and for, you know, informed constituents, right? You want a product person in the product. You want a security person in the product? Um, and we also want to incent you to scan your APS And the most modern fashion, which is scanning the smallest amount of http that lives in your app, like in a micro services architecture because it makes a lot easier, is easy to isolate the problems where they live and to fix those issues really quickly. So we bundle team and for a UPS and then we scale within, uh, companies as they add more team. So pen users. 10 APS is 3 99 a month. And as you add software engineers and more applications, we scale within your company that way. >>Awesome. So if you're successful, you pay more, but doesn't matter. You already succeeded, and that's the benefit of by As you go Great stuff. Final question. One more thing. Your vision of the future. What are the biggest challenges you see in the next 24 months? Plus beyond, um, that you're trying to attack? That's a preferred future that you see evolving. What's the vision? >>Yeah, you've touched on this a couple of times in this interview with uh being remote, and the way that we need to build software already has been modernizing, and I feel like every company has a digital transformation initiative, but it has toe happen faster. And along with that, we have to figure out how Thio protect and secure these Moderna Gail. The most important thing that we do the hearts and minds of our support engineers and make it really easy for them to use security capabilities and then continue to growth in the organization. And that's not an easy thing tied off. It's easy change, a different way of being security. But I think we have to get their, uh, in order to prepare the security, uh, in these rapidly deployed and developed applications that our customers expect. >>Awesome. Jodi Clippers, CEO and founder of Stack Hawk. Thank you for coming on. I really appreciate it. Thanks for spending the time featured Startup is part of our Cuban cloud. I'm Sean for your host with silicon angle to Cube. Thanks for watching
SUMMARY :
cloud brought to you by silicon angle. But before we jump in, tell us about Stack Hawk What you guys do your founded in 2019. And we do that through a dynamic application scanning capability. What does Can you take us through your look at all of the time, Um, and how we deliver and, And so you guys attack that problem right there so they don't have to ship the code and then come back I mean a lot of the way software, specifically software like ours and Basically, it's like you have a penetration test is okay. right? How did you get here? as a Dev Ops first Company, and it just so happens to be that we're taking security, And this is where I think it's interesting where you start to think, uh, Dev ops for security because What's your thoughts on And so, you know, What's the competitive strategy for you guys going forward? So you know, it's a SAS platform that You got the you know, the integration and you've got the software Um, but we think that if you want to get started developer first, A lot of these tools can they get in the hands of developers, and then you kind of win their trust by having Um, so it's a really nice relationship that we have, and we are looking forward to continuing Can you share some of the use cases that you guys are participating by saying here, every single deploy I can show you if there were any new security bugs released What's the consumption side of it looked like, So the way we think about this is, just ask them. And then you to write a check or engaged to have enough So the way we think about how we work with pen testers is, How do you guys make money? Um, and we also want to incent you to scan your APS What are the biggest challenges you see in the next 24 months? being remote, and the way that we need to build software already has been Thank you for coming on.
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Tres Vance, Red Hat | AWS re:Invent 2020 Public Sector Day
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by AWS Worldwide Public sector Welcome back to the cubes coverage. This is the Cube virtual in our coverage of AWS reinvent with special coverage of the worldwide public sector day. I'm your host, John Firrea. We are the Cube, and I'm joined by Trayvon's hyper scaler partner. Leave with Red Hat. Trey, Welcome to the Cube. >>Thank you. Great to be here, John. Very happy to be at my first virtual reinvent, but probably my third in a row reinvented itself. >>You know, it's super exciting and usually were in person, as you mentioned. But the Cube virtual your virtual. We gotta do it virtual this year, but the game is still the same. It's about learning is about getting updates on what's relevant for customers with the pandemic. A lot of things have been highlighted, and this has been the big fun of reinvent because you mentioned three years. This is our eighth year. We've been there every year since the since the except for the first year, but you just look at the growth right, but it's still the same cadence of more news, more announcements, more higher level services, you know, with with open shift We've been following that with kubernetes and containers Service meshes. You're seeing micro services. All this coming together around open source and public sector is the main benefit of that. Right now, if you look at most interviews that I've done, the mandate for change in public sector is multifold in every vertical education to military, right. So So there's a need to get off your butt and get going with cloud if you're in public sector, um, tell us more about Red hat and the partnership around public sector, because I think that's really what we want to dig into. >>Absolutely. And there definitely have been, uh, changes this year that have inspired innovation. Uh, Red hat native us have been on a path for innovation for quite a while. Red hat in working with the open source community and taking an iterative approach to what we call upstream first, which is essentially, uh, to develop, uh, in the open source communities to mature those into enterprise grade products and then thio iterative Lee, take those findings back to the open source community. So Red Hat and eight of us have had a long history of collaboration. Starting all the way back in 2007 with Red Hat Enterprise Linux being available within the AWS console continue on to things like AWS Quick starts, which are reference architectures for how to deploy products that you're managing yourself on then, More recently, recent being the last say, four years, Uh, Thio offer a open shift managed service within a W s. And now continuing that with a joint offering that's gonna be forthcoming. That's the Red had open shift service on AWS, which will be the first native offering and joint offering with a W s by A by a third party such as ourselves. So there's a history of innovation there in a history of collaboration, and I think we'll talk a little bit later on in the interview specifically about how that relates to public sector and their unique needs. >>Yeah, well, let's just get in there. What are the some of the unique needs? Because there's value in your partnership with AWS. You laid out a bunch of those services, so certainly there's customers that are in need. What specific requirements are there. Can you tell us how Red Hat and A W s work together to meet these challenges? >>Sure. So the public sector group is composed of many organizations and agencies both. When I think of public sector, I think of the federal civilian space. I think about the D. O. D uh, the state and local and education. All of those elements of public sector have different needs. But there are some standards that are very pervasive in the public sector, things like Phipps and how you articulate your compliance with particular validated cryptographic modules or with how you express a control statement using something like the uh minus 853 which is critically important for cloud service offerings. And so those are some of the things that Red Hat native us have a heritage of working together on also providing deep explanations for those organizations and their mission so that they can comfortably move into the cloud, do digital transformation by taking applications that maybe on Prem today and having the confidence to move those into the cloud with security and compliance at the forefront. So when I think about the overall mission of government and then the threats to that mission, whether they be state actors, you know, individuals there are serious. They're serious solutions that have been developed both in the open source community to provide greater visibility into security. And there are things that the government has done to kind of create frameworks for compliance. And those are things that we work with, uh, in the open. So we have, ah, process that we call Compliance is code which can be found both inside of repositories like git Hub. But also on our website, where we articulate how our products actually work with those compliance frameworks, uh, the cryptographic a while authorizations and some of the certifications for technology that the government's put forward. >>So if it's compliance, is code like infrastructure is code, which is Dev Ops. What do you call it? Gov. Dev Ops or Gove ops Compliant ops. It's kind of get a little Dev ops vibe there. I mean, this is a really real question. I mean, you're talking about making compliance, automated. This is what Dev ops is all about, right? And this is this is kind of where it's going. How do you how do you expand more on that? Take a minute to explain. >>Sure. So it's a red hat. Over the last 20 plus years has been doing things that are now called Dev Ops or Dev SEC ops any number of combinations of those words. But the reality is that we've worked in in things like small teams. We've worked to make things like micro services, where you have a very well defined and discreet service that could be scaled up and then that's been incorporated into our products. But not only that, we release those things back Thio the open source community to make the broader Linux platform, for example, the broader kubernetes platform to make those things, uh stronger onto also get more visibility to some of those security items. So that there is a level of trust that you can have in the software supply chain is being created not only with ease, but the things that the customers of building based on these solutions. >>Yeah, that's a good point. Trust and all that compliance is, too. But also when you have that trust, now you have a product you wanna actually deploy it or have customers consume it. Um, it hasn't always been easy trade and cover. You got Fed ramp. I mean, I talked to Teresa cross about this all the time at a W s. You know, there's all kinds of, you know, things. You got hoops you gotta jump through. How are you guys making that? Easier, Because again, that's another concern you got. You guys got a great channel. You got the upstream. First, you've got the open source. Um, you know, enterprises certainly do great. And now you're doing great in public sector. How you guys making it easier for partners to on Ram Pinto. All these Fed programs? >>Yeah. So what I think about the application transformation that organizations are going through we have, especially in the open shift environment. We have what we call the operator framework, which allows operational knowledge to be used as code on. That's gonna be a kind of a running theme for us, but to be able to do these things as code, uh, whether it's things like our compliance operator, which allow you to do testing of a production environment, uh, testing of operational elements of your infrastructure to be able to test them for compliance is Phipps enabled our cryptographic libraries being used, and at what levels are they being used by simply the operating system where they're being used in the kubernetes environment? Are they even being used toe access AWS services? So one of the big things that is important for redhead customers that are moving into the cloud is the depth at which we can leverage the cloud provider services such as the AWS services, but also bring new application services that the customer may be familiar with on Prem, bring those into the environment and then be able to test. So you trust. But you verify on you provide that visibility and ultimately that accountability to the customer that is interested in using your solution in the cloud. And that's what one of those success criterias is gonna bay. >>Yeah, and speed to is a big theme. We're hearing speed agility. I mean, Julie has been talked about all time with Dev ops deficit cops, and you know all these ops automation, but speed deployment. This brings up to the point about we kind of teed up a little bit of the top of the interview, but there's been a big year for disruption, pandemic uncertainty, polarized political environment. Geopolitical. You got stuff in space congestion contention. There you got the edge of the network exploding. So we all new paradigm shifting going on everywhere, right? So, you know, and all the all the turmoil pandemic specifically has been driving a lot of change. How has all this disruption accelerated the public sector cloud journey? Because we were talking earlier, You know, the public sector and didn't have a big I T budget that was never super funded. Like enterprises, they're not flush with cash on board. The motivation was to kind of go slow. Not anymore. Sure anymore, >>I think. Ah, lot of organizations have drawn inspiration from those factors, right? So you have these factors that say that you have a limited budget on that necessity brings out the innovation right, And the especially for government organizations, the the the spirit of the innovation is something that runs deep in the culture. And when faced with those kinds of things, they actually rise to the occasion. And so I think about things like the US Navy's compiled to combat 24 program which were part of and that program is leveraging things like automation, dep, SEC ops and the agile methods to create new capabilities and new software on, as the program name says, it's compiled to combat in 24 hours. So the idea is that you can have software that is created a new capability deployed and in theater, uh, within a short period of time. That's very agile, and it's also ah, very innovative thing, and that's all leveraging red hats portfolio of products. But it's also their vision that and their methodology to actually bring that toe life. So we're very fortunate and very glad to be a part of that and continue to iterating that that way. >>It's nice to be on the road map of the product requirements that are needed now. They're never because the speed is super important and the role of data and all the things that you're doing and open source drives that trade Great to have you on sharing your insight. What? Just a personal question. Hyper scale partner leaders, your title. What does that mean? It means you're going to hyper scales. You're hyper scale who your partner is. Just take a minute to explain what you do it. It's fascinating. It >>definitely means that I'm hyper scale 100% thea Other thing It means we view the cloud service providers as hyper scale er's right. They have capacity on demand pay As you go this very elastic nature to what they do, they offer infrastructure a za service that you can then use for the foundations of your solutions. So as a hyper scale partner leader, what I do is I worked very closely with the AWS team. I actually super long story short. I came from a W S after spending about three years there, so understand it pretty well on, uh, in this particular case, I am working with them to bring the whole portfolio of red hat products, uh, not only onto the cloud for customers to consume in a self directed manner, but also as we build out more of these managed services across application services A i m l A Z you mentioned with things like co vid, uh, there are discrete examples of things like business process, management decision making, that air used in hospitals and inside of, uh, places within the government. You know, uh, that are really wrestling with these decisions. So I'm very pleased with, you know, the relationship that we have with a W s. They're great partner. It's a great opportunity to talk. Especially now it reinvent So these are all really good things and really excited Thio be the hyper scale partner leader. >>That's great that you have that they had the DNA from the best. You know how to do the working backwards stuff. You know, the cultures, both technical cultures. So very customer centric. So nice fit. Thank you for sharing that. And thanks for the insight into, uh, reinvent and red hat. Thank you. >>All right, that was great to be here and look forward to learning a lot. This reinvent >>great. We'll see on the interwebs throughout the next couple of weeks. Trayvon's hyper scale partner manager Really putting in the cloud to Red Hat and customers and public sector. This is our special coverage of the public sector day here at reinvent and ongoing coverage Cube virtual throughout the next couple weeks. John, for your host. Thanks for watching. Yeah,
SUMMARY :
This is the Cube virtual in our coverage of AWS reinvent with special Very happy to be at my first virtual So So there's a need to get off your butt and get going with cloud if you're in public sector, the AWS console continue on to things like AWS What are the some of the unique needs? and having the confidence to move those into the cloud with security and compliance at How do you how do you expand more on that? of trust that you can have in the software supply chain is being created I talked to Teresa cross about this all the time at a W s. You know, there's all kinds of, you know, customers that are moving into the cloud is the depth at which we can leverage the Yeah, and speed to is a big theme. So the idea is that you can have software that is created a new capability Just take a minute to explain what you do it. you know, the relationship that we have with a W s. They're great partner. That's great that you have that they had the DNA from the best. All right, that was great to be here and look forward to learning a lot. manager Really putting in the cloud to Red Hat and customers and public sector.
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Lynn Martin, VMware | AWS re:Invent 2020 Public Sector Day
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by AWS Worldwide Public sector Welcome back to the cubes. Virtual coverage of eight of us Reinvent 2020 Virtual. This is the Cube virtual. I'm your host, John Ferrier. We are the Cube virtual. This year not only were in person but because of the pandemic. We're doing the remote interviews, doing the live coverage over the past couple weeks. We'll be covering it in depth. My next guest is Lynn Martin, vice president of government education. Health care for VM Ware Public Sector Thank you for coming on the Q. As part of the public sector day. Thanks for coming on. >>Thanks, John. It's my pleasure to be with you to that >>great to see last time you're on the Cube. We were in person and D. C is part of the Public Sector Summit, which is the reinvent for public sector is what I call it Theresa's big event. Teresa Carlson, who runs a U. S public sector. You guys a friend. You've been working together the partnership between VM where AWS has been so strong going back to 2016. I'll never forget. When I interviewed Pat and Andy, A lot of skeptics were like VM Ware E W s turned out to be great. Move at many levels. You're in the field for VM Ware driving the business. What's up? What's the update? >>So a couple exciting things. The partnership has been going great. Ah, lot of transformation work and co innovation between the two companies from the engineering side. And, as you mentioned, great a t the Pat Andy level on Ben. When you take it down to the field, support our government education, healthcare, customers. Great partnership with Theresa and her team. They've done a fabulous job, really, being at the forefront of the cloud transformation across those markets and our partnership together. No, it's pretty exciting. We have a lot of new product announced. It's coming out around our government. Go to market means jointly. So it's been a busy time with co vid and a lot of opportunity for both companies to really market differentiators for some of the challenges that are unique customers face >>when I want to ask you a little bit more on that piece because I know it's been interesting with the pandemic. You guys have had a nice overlay with 80. Invest with Teresa's organization obviously from it from a customer standpoint, Nice fit. Okay. Also, with the pandemic, we're seeing customers certainly doing more modern development. That's a big theme of reinvent also for VM World a few months ago as well. But the operator side of the I t piece is gonna be completely changed. I've been doing some reporting and stories around how not just the modern app site, but the I T portion operating these environments. It's hard in pant with the pandemic, so you start to see that operator meets software meets Cloud kind of world. Can you give your perspective of how that's impacted with the pandemic? Because it seems to have accelerated both i t operations in public sector and modern development of new APS and new surge. So, uh, interesting thoughts. I'd love to get your perspective. >>Yes. So I would say that when you kind of look back at the beginning of 2020 I don't think any of us envisioned quite what we were gonna be facing and what our customers, particularly in public and health care you know have faced. So we have customers jointly that are on the forefront of either providing civil services, national security, education to the students or commercial health care first responders right on the front line around patient care. And what I would say, the observation we had really early on in March was the acceleration of the digital transformation across all of those sectors. So lots of discussions have been taking place, and there were a lot of projects in place that would take a couple of years to probably implement. And I think what occurred with Covic is you really have to accelerate how you were gonna provide those civil services or patient care or education and parts of that digital transformation. I think we're taking for granted. So if you think of, like virtual desktop technology in the education space or, you know, SD when and network capability be of the cloud force for health care providers and things of that nature. So I think the portion played a bigger part in the country, responded to cove it in ensuring that we could do the things we needed to do virtually and quickly and out enabled, you know, speed to market and then infrastructure from companies like VM Ware teamed with an Amazon. We allow the acceleration for that journey. >>You know, the old expression. Necessity is the mother of all invention. Um, education and healthcare in particular really were impacted. They had a pressure points t do differently, things faster e education. We know what's going on there and health care with the pandemic. How how are you managing through this? Because, you know, you had a lot of business in flight prior before the pandemic. Now during and you've got maybe some visibility toe what growth looks like Post pandemic. You still got demand. So how are you managing it with from your perspective, your team? What's it like? How how are you as a leader dealing with this? But it's not like it's slowing down for you. It's increasing in >>demand. Yes, so are our segment was kind of on the forefront within bm where globally, um, we started working with different state, local governments and the federal government ahead of the close downs. You know, in one of the major large metropolitan cities, there were over a billion students that had to be able to be educated virtually and there were challenges around network capability, device capability, all kinds of things. So we've had a lot, a lot of activity and as a company. But you know, my segment, how to really work with corporate to kind of bend, how we do business business process rules as well, to be able to respond quickly and to be agile for our clients and provide different ways to support the needs of those customers. So then they could provide the kind of civil services that the country, you know, counts on them to dio. So I think from the internal perspective, in customer facing, we were able to flex, flex and move very quickly and then internally, within the organization as well. I would say, You know, February to June was almost a blur, were busy on weekend calls and things like that, dealing with all different kinds of situations and the organization as a whole. We were ableto flex and work remotely very quickly. I mean, we just used our own technology and literally upon the shutdown. The only difference is where you were working from, but all the tools, infrastructure and things we had were already in place. So anything from there and then as a leader, the third element, all out is kind of the human element. I think it's it's all an opportunity to connect our teams a little bit. Mawr. You know, you have to put more effort virtually more, all hands because more one on ones and kind of also adapt toe how they're dealing with the different personal things of educating their own Children and their family or caring with elders different types of situations as well. >>It's not business as usual, certainly, but it's, you know, challenging great leadership insight there. Thank you for sharing that. I wanna get back to the cloud impact I did. An interview is part of Amazon's Public Sector Awards program a few months ago or in late spring. Roughly, Um, there was a use case with the center and the Canada government, and the guy was kind of, uh, didn't wanna take sidewall Amazon. I'm not gonna be a spokesperson for Amazon. He ended up when the pandemic hit. He was so big fan of AWS and Cloud connectors example because he was skeptical, but he saw the benefit to speed can you give some examples of customers that you're working with that were getting immediate benefits from cloud in the pandemic. That literally made a big difference in what they did because you're seeing people highlight on, okay, just transmission. But people want to see examples. Can you share some examples where this is where cloud helped? It made a huge difference. And that's an example of what we're talking about here. >>Yes. So I would say, um, um example would be at M. D. Anderson Cancer Institute. Um, they had a need to really expand the connectivity off the facility to segregate patient care and ensure that patients that already, you know, had health issues were segregated from any other co vid patients. And very quickly we saw them scale and extend their data center in record time. I mean, things that traditionally would have taken years were done in months, you know, major accomplishments. In 30 days, a zai mentioned, you know, one of our large cities in the country had to really struggle with off 1.2 billion students in K through 12, many of which count on the school systems for, you know, their meals and things and how you deliver your virtual desktops in that environment. VMC on AWS for horizon is a great example that we saw across many state and local you know, entities in how they transform their education to those clients. Uh, and then the federal government. There's many examples, uh, you know, across some of the larger agencies as well, with BMC on AWS for both horizon and infrastructure as well. As you know, sometimes it wasn't one solution. They might have went a W s native for part vmc on AWS for part. And the combination of that really allows companies to come together in part to get things done very, very quickly. It's >>a great example of the VM Ware cloud on AWS success story. I think what's interesting and how I see you guys really doing well with Amazon. It will get to the partnership in a second. But I wanna call this out because you mentioned that earlier devices the network these air not usually associate with cloud usually clouds. You burst of the cloud clouds. Awesome. All these utility higher level services, Dev Ops Cloud native All goodness, But when you get down to what's going on the pandemic. It's the devices you're using. The desktops. It's the network working at home. How as much as that affected your team and your customers, Can you unpack that a little bit more? >>Yes. So what I would say on that is really when you look atyou out, you know the VMC on AWS offerings and you take it down to an example like the horizon platform horizon allows you with the V m c A W s power behind it to really present your virtual desktop on any device anywhere. And that allowed the education entities to be able to provide those curriculums to the students very quickly and, you know, not really have a big, disconnected downtime on how that was done. So I think you know, you're kind of taking cloud classic infrastructure that you reference and then layering in those unique use cases with the VMC on AWS offerings that then could be applied or telehealth. So you know, lots of examples across the health care industry with telehealth and deploying actually patient care via the M R solutions on BMC on aws is well, so it z really taking core. I t infrastructure layering on a software platform that then allows you to provide all those use cases, whether it be an NYPD or fire departments across the country or education entities or commercial patient care things of that nature as a second layer on top of that cloud infrastructure that you think of normally. >>Well, then I want to congratulate you and the team at VM. Where you guys doing? A great job. Like Teresa Carlson. You guys have a really good focus. Uh, you have a great understanding of how the public sector and commercial dynamics working with cybersecurity, going on all across there. And I just you guys there in space with them. You're doing stuff on the land and the ground station all across the public sector, and and they need faster solutions in the cloud. So congratulations. So I have to ask you, since we're here at reinvent, how is the relationship going? Um, where do you see it evolving? I'll see. We talked about the pressure of education, health care and other areas. I mean, case is gonna be re hall. That's gonna be a complete reinvention. Um, so a lot going on. What's supposed to give us the update. >>So I think that in general, you know the future off the public sector and healthcare space will never go backwards. And the acceleration that we've seen occur over 2020. You're gonna see that accelerate as we move forward. And I think the co innovation between Amazon and B M, where which are both innovative companies coming together to support those markets, I think we have more opportunity ahead of us then behind us. And I think when you look at just the great job Amazon has done in general, I was super excited to see Theresa pick up the health care sector. So we have a whole new space to work together on this year and really lots of exciting, innovative offerings to support both patient care and pharmaceuticals, life science and our payer community across the health care sector, as well as some of the work we've already been doing in the public sector. But given the dynamics in the future outlook of the industry, there's gonna require lots of innovation and different kinds of things to really partner together technically and, you know, aligning our go to market around primarily the customer needs. So I think what's very unique about our partnership in the public and healthcare space is we focus first on the customer needs and the mission of those customers and what they need to achieve. And both companies come to the table with, you know, incredible innovation around solutions to support that market. >>It's a great, great partnership, I gotta say, from a technology standpoint, after Raghu VM Ware when they did this, he's like It's a much deeper It's a real deal is not just the Barney deal is everyone kind of knows the old school, uh, phrases saying It's not really a deal. You guys have really integrated in the field on the customer activities. Strong final question for you You don't mind, um, here it reinvent. You know, people are remote. There's gonna be three weeks, a lot of live coverage. Cube Game day will be doing a lot of support and coverage. But for the audience watching this, what would you say is the most important story people should think about or, um, look at harder. I'm when it comes to cloud collision of public sector and what's gonna happen post pandemic because there's gonna be a new reality. There's gonna be growth strategies that will be in play. Some projects will be doubled down on some may not continue. What's your What's your advice to folks watching? What should they pay attention to this reinvent. >>So I think the number one thing is to really embrace the change going around you. And, you know, I think Amazon will be on the forefront of leading a lot of great innovation in that area. And it's really trying to be open minded about how you take advantage of the things that are coming out and be able to apply that into your infrastructure. So if you look across our customer base, you know there's lots of changes you mentioned. I don't think we'll ever go backwards. And those that will be able to move forward quicker are going to be the ones that embrace the change and really lead and drive that innovation within their organization in reinventing themselves through the kind of technology that a company like Amazon and beyond, where bring to the table >>great insight. Lynn And also there's a lot of great problems to solve and societal benefits a lot of need and you guys doing great work. Thanks for your leadership. And, uh, great conversation. Thank you. >>Thanks very much. >>Okay. Lynn Martin, head of vice president of Global public Sector Uh, government education Healthcare. Lynn Martin, the leader of VM Ware's public sector here in the Cube. I'm John Ferrier. Thanks for watching.
SUMMARY :
It's the Cube with digital coverage You're in the field for VM Ware driving When you take it down to the field, support our government education, It's hard in pant with the pandemic, so you start to see that operator meets software in the country, responded to cove it in ensuring that we could do the things we So how are you managing it with from your perspective, So then they could provide the kind of civil services that the country, you know, counts on them to dio. It's not business as usual, certainly, but it's, you know, challenging great leadership insight there. in the country had to really struggle with off 1.2 I think what's interesting and how I see you guys really doing well with Amazon. So I think you know, you're kind of taking cloud classic infrastructure And I just you guys there in space with them. So I think that in general, you know the future off the public sector and healthcare You guys have really integrated in the field on the you take advantage of the things that are coming out and be able to apply that you guys doing great work. Lynn Martin, the leader of VM Ware's public
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Power Panel with Tim Crawford & Sarbjeet Johal | AWS re:Invent 2020
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Hello and welcome back to the cubes Virtual coverage of AWS reinvent 2020. Um, John for your host with a cube virtual were not there in person, but we're gonna do it our job with the best remote we possibly can. Where? Wall to wall coverage on the AWS reinvent site as well as on demand on the Cube. Three new 3 65 platform. We got some great power panel analysts here to dig in and discuss Partner Day for a W S what it means for the customer. What it means for the enterprise, the buyer, the people trying to figure out who to buy from and possibly new partners. How can they re engineer and reinvent their company to partner better with Amazon, take advantage of the benefits, but ultimately get more sales? We got Tim Crawford, star Beat Joel and Day Volonte, Friends of the Cube. We all know him on Twitter, You guys, the posse, the Cube policy. Thanks for coming on. I'm sure it's good guys entertaining and we're >>hanging out drinking beer. Oh, my God. That'd be awesome. You guys. >>Great to have you on. I wanted to bring you on because it's unique. Cross section of perspectives. And this isn't This is from the end user perspective. And, Tim, you've been talking about the c x o s for years. You expert in this? Sorry. You're taking more from a cloud perspective. You've seen the under the hood. What's happening? Let's all put it together. If your partner Okay, first question to the group. I'm a partner. Do I win with Amazon, or do I lose with Amazon? First question. >>Yeah, I'll jump in. I'll say, you know, regardless you win, you win with Amazon. I think there's a lot of opportunity for partners with Amazon. Um, you have to pick your battles, though. You have to find the right places where you can carve out a space that isn't too congested but also isn't really kind of fettered with a number of incumbents. And so if you're looking at the enterprise space, I think that there is a ton of potential because, let's face it, >>Amazon >>doesn't have all of the services packaged in a way that the enterprise can consume. And I think that leaves a lot of fertile ground for s eyes and I SVS to jump in and be able to connect those dots so I'd say it's win, win >>start be if you're like a so cohesively onstage. Jackson's coming out talking about China, the chips and data. If you're like a vendor and I s V you're a startup or your company trying to reinvent How do you see Amazon as a partner? >>Yeah, I see Amazon as a big market for me. You know, it increased my sort of tam, if you will. Uh, the one big sort off trend is that the lines between technology providers and service providers are blurred. Actually, it's flipping. I believe it will flip at some time. We will put consume technology from service providers, and they are becoming technology providers. Actually, they're not just being pipe and power kind of cloud. They are purely software, very high sort of highly constructed machinery, if you will. Behind the scenes with software. >>That's >>what Amazon is, uh, big machine. If you are, and you can leverage that and then you can help your customers achieve their business called as a partner. I think's the women and the roll off. Actually, Assize is changing, I believe a size. Well, I thought they were getting slow, sidetracked by the service providers. But now they have to actually change their old the way they they used to get these, you know, shrink wrap software, and then install and configure and all that stuff. Now it's in a cloud >>on >>they have to focus a little more on services, and and some of the s eyes are building tools for multi cloud consumption and all that. So things are changing under under this whole big shift to go out. >>I mean, I think if you're in S I and you're lifting and shifting, you make a few bucks and helping people do that deal with the tech. But I think we're the rial. Money is the business transformation, and you find the technology is there, it's it's another tool in the bag. But if you can change your operating model, that's gonna drive telephone numbers to the bottom line. That's a boardroom discussion, and that's where the real dollars are for s eyes. That's like that's why guys like Accent you're leading leading into the cloud Big time >>e think I think you're absolutely right, David. I think that's that's one aspect that we have to kind of call out is you can be one of those partners that is focused on the transaction and you'll be successful doing that. But you're absolutely right. If you focus on the long game. I think that is just like I said, completely fertile ground. And there are a lot of opportunities because historically Amazon was ah was a Lego parts, uh, type of cloud provider, right? They provided you with the basic building blocks, which is great for Web scale and startups not so good for enterprise. And so now Amazon is starting to put together in package part, so it's more consumable by enterprises. But you still need that help. And as Sarpy just mentioned, you also have to consider that Amazon is not the only aspect that you're gonna be using. You're gonna be using other providers to. And so I think this again is where partners they pick a primary, and then they also bring in the others where appropriate. >>All right, I want to get into this whole riff. I have a cherry chin on day one. Hey, came on the special fireside chat with me and we talked about, um, cloud errors before cloud Amazon. And now I'll call postcode because we're seeing this kind of whole new, you know, in the cloud kind of generation. And so he said, OK, this pre cloud you had Amazon generation, whereas lift and shift. Ah, lot of hybrid And you have everything is in the cloud like a snowflake kind of thing. And he kind of call it the reptiles versus the amphibians you're on. See your inland, your hybrid, and then you're you're in the water. I mean, so So he kind of went on, Took that another level, meaning that. Okay, this is always gonna be hybrid. But there's a unique differentiation for being all in the cloud. You're seeing different patterns. Amazon certainly has an advantage. See, Dev Ops guru, that's just mining the data of their entire platform and saying Okay, Yeah, do this. There's advantages for being in the cloud that aren't available. Hybrid. So amphibian on land and sea hybrid. And then in the cloud. How do you guys see that if you're a partner. You wanna be on the new generation. What's the opportunity to capture value? He has hybrid certainly coexist. But in the new era, >>remember Scott McNealy used to talk about car makers and car dealers. And of course, Sun's gone. But he used to say, We want to be a carmaker. Car dealers. They got big houses and big boats, but we're gonna be a carmaker. Oh, I think it's some similarities here. I mean, there's a lot of money to be made as a as a car dealer. But you see, companies like Dell, H P E. You know, they want to be carmakers. Obviously Google Microsoft. But there are gonna be a lot of successful really big carmakers in this game. >>Yeah, I believe I believe I always call it Amazon Is the makers cloud right, So they are very developer friendly. They were very developer friendly for startups. Uh, a stem said earlier, but now they are very developer, friendly and operations friendly. Now, actually, in a way for enterprises, I believe, and that the that well, the jerry tend to sort of Are you all all in cloud are sitting just in the dry land. Right now, I think every sort off organization is in a different sort off mature, at different maturity level. But I think we're going all going towards a technology consumption as a service. Mostly, I think it will be off Prem. It can be on Prem in future because off age and all that. And on that note, I think EJ will be dominated by Tier one cloud providers like crazy people who think edge will be nominally but telcos and all that. I think they're just, uh, if >>I made Thio, if I may interject for a second for the folks watching, that might not be old enough to know who Scott McNealy is. He's the founder of Sun Microsystems, which was bought by Oracle years ago. Yeah, basically, because many computer, there's a lot of young kids out there that even though Scott McNealy's But remember, >>do your homework, Scott, you have to know who Scott Scott McNealy >>also said, because Bill Gates was dominant. Microsoft owns the tires and the gas to, and they want to own the road. So remember Microsoft was dominating at that time. So, Tim Gas data is that I mean, Amazon might have everything there. >>I was gonna go back to the to the comment. You know, McNeely came out with some really, really good analogies over his tenure. Um, it's son and you know, son had some great successes. But unfortunately, Cloud is not as simplistic as buying a car and having the dealership and the ecosystem of gas and tires. And the rest you have to think about the toll journey. And that journey is incredibly complicated, especially for the enterprise that's coming from legacy footprints, monolithic application stacks and trying to understand how to make that transition. It's almost it's almost, in a way mawr analogous to your used to riding a bike, and now you're gonna operate a semi. And so how do you start to put all of the pieces into place to be able to make that transition? And it's not trivial. You have to figure out how your culture changes, how your processes changes. There are a lot of connected parts. It's not a simple as the ecosystem of tires and gas. We have to think about how that data stream fits in with other data streams where analytics are gonna be done. What about tying back to that system of record that is going to stay on the legacy platform. Oh, and by the way, some of that has to still stay on Prem. It can't move to the cloud yet. So we have this really complicated, diverse environment that we have to manage, and it's only getting more complicated. And I think that's where the opportunity comes in for the size and s visas. Step into that. Understand that journey, understand the transitions. I don't believe that enterprises, at least in the near term, let alone short term, will be all in cloud. I think that that's more of a fantasy than reality. There is a hybrid state that that is going to be transitory for some period of time, and that's where the big opportunity is. >>I think you're right on time. I think just to double down on that point, just to bring that to another level is Dave. Remember back in the days when PCs where the boom many computers with most clients there was just getting started? There was a whole hype cycle on hard drives, right? Hard drives were the thing. Now, if you look out today, there's more. Observe, ability, startups and I could count, right? So to Tim's point, this monolithic breakdown and component izing decomposing, monolithic APs or environments with micro services is complex. So, to me, the thing that I see is that that I could relate to is when I was breaking in in the eighties, you had the mainframes. Is being the youngun I'm like, Okay, mainframes, old monolithic client server is a different paradigm thing. You had, uh, PCs and Internet working. I think all that change is happening so fast right now. It's not like over 10 years to Tim's points, like mainframes to iPhones. It's happening in like three years. Imagine crunching all that complexity and change down to a short window. I think Amazon has kind of brought that. I'm just riffing on that, But >>yeah, you're absolutely right, John. But I think there's another piece and we can use a very specific example to show this. But another piece that we have to look at is we're trying to simplify that environment, and so a good place to simplify that is when we look at server lis and specifically around databases, you know, historically, I had to pick the database architecture that the applications would ride on. Then I have to have the infrastructure underneath and manage that appropriately so that I have both the performance a swell, a security as well as architecture. Er and I have to scale that as needed. Today, you can get databases of service and not have to worry about the underpinnings. You just worry about the applications and how those data streams connect to other data streams. And so that's the direction that I think things were going is, and we see this across the enterprise we're looking for. Those packaged package might be a generalized term, but we're looking for um, or packaged scenario and opportunity for enterprises rather than just the most basic building blocks. We have to start putting together the preformed applications and then use those as larger chunks. And >>this is the opportunity for a size I was talking before about business transformation. If you take, take Tim's database example, you don't need somebody anymore. Toe, you know, set up your database to tune it. I mean, that's becoming autonomous. But if you think about the way data pipelines work in the way organizations are structured where everything because it goes into this monolithic data lake or and and And it's like generic content coming in generic data where the business owner has to get in line and beg a data scientist or quality engineered or thio ingest a new data source. And it's just like the old data warehouse days where I think there's tremendous opportunities for s eyes to go in a completely re architect. The data model. Sergeant, This is something you and I were talking about on Twitter. It's That's why I like what snowflakes doing. It's kind of a AWS is trying to do with lasted glue views, but there's a whole business transformation opportunity for s eyes, which I just think is huge. Number l >>e all talk. Go ahead. Sorry. Yeah, >>I think we >>all talk, but we know we all agree on one thing that the future is hybrid for at least for next. You know, 10 years, if not more. Uh, hybrid is hard. The data proximity is, uh, very important. That means Leighton see between different workloads, right? That's super important. And I talk about this all the time and almost in every conversation I have about about. It's just scenario, is that there three types of applications every every enterprise systems or fractured systems, systems of engagement and the systems of innovation and my theory of cloud consumption tells me that sooner or later, systems off record. We'll move into SAS SAS world. That's that's how I see it. There's no other way around, I believe, and the systems off engagement or systems off differentiation something and call it. They will leverage a lot off platforms, the service and in that context context, I have said it many times the to be a best of the breed platform. As a service, you have to be best off the breed, um, infrastructure as a service provider. And that's Amazon. And that is that's also a zero to a certain extent, and then and and Google is trying to do that, too. So the feature sort off gap between number one cloud and two and three is pretty huge. I believe I think Amazon is doing great data democratization through several less. I just love serving less for that Several things over. Unless there is >>a winning formula is no doubt about several times I totally agree. But I think one of the things that I miss it has done is they've taken server lists. They brought their putting all the I as and the chips, and they're moving all the value up to the service layer, which gives them the advantage over others. Because everyone else is trying to compete down here. They're gonna be purpose built. If you look what Apple is doing with the chips and what the Amazon is doing, they're gonna kind of have this chip to chip scenario and then the middle. Where in between is the container ization, the micro services and Lambda? So if you're a developer, you approach is it's programmable at that point that could that could be a lock spec. I think for Amazon, >>it absolutely could be John. But I think there's another aspect here that we have to touch on, especially as we think about partners and where the opportunities come in. And that is that We often talk about non cloud to cloud right, how to get from on Prem to cloud. But the piece that you also have thio bring into the conversation is Theo edge to cloud continuum and So I think if you start to look at some of the announcements this week from AWS, you start looking at some of the new instance types uh, that are very ai focused. You look at the two new form factors for outposts, which allows you to bring cloud to a smaller footprint within an on premise premises, situation, uh, different local zones. And then Thea other piece that I think is really interesting is is their announcements around PCs and eks anywhere being able to take cloud in kubernetes, you know, across the board. And so the challenge here is, as I mentioned earlier, complexity is paramount. It's concern for enterprises just moving to cloud. You start layering in the edge to cloud continuum, and it just it gets exponentially more complicated. And so Amazon is not going to be the one to help you go through that. Not because they can't, but frankly, just the scale of help that is going to be needed amongst enterprises is just not there. And so this is really where I think the opportunity lies for the s eyes and I SVS and partners. You >>heard how Jassy defined hybrid John in the article that you wrote when you did your one on one with him, Tim and the in the analyst call, you answered my question and then I want to bring in Antonio near his comment. But Jassy basically said, Look, we see the cloud bring We're gonna bring a W s to the edge and we see data centers. This is another edge node and San Antonio Neary after HP is pretty good quarter uh came out and said, Well, we heard the public cloud provider talking about hybrid welcome, you know? >>Yeah, they were going and then getting here jumped on that big time. But we'll be looking hybrid. Tim nailed The complexity is the is the evil is friction is a friction area. If the complexity could be mastered by the edge provider closest to the customer, that's gonna be valuable, um, for partners. And then we can do that. Amazon's gonna have to continue to remove the friction and putting that together, which is why I'm nervous about their channel partners. Because if I'm a partner, I asked myself, How do I make money with Amazon? Right? At the end of the day, it's money making right. So how can I be successful? Um, not gonna sell more in the marketplace. Will the customer consumer through there? Is it friction or is a complex So this notion of complexity and friction becomes a double edged sword Tim on both sides. So we have five minutes left. Let's talk about the bottom side Complexity, >>friction. So you're absolutely right, John. And you know, the other thing that that I would say is for the partner, you have to look beyond what Amazon is selling today. Look at where the customers are going. And you know, David, I think you and I were both in an analyst session with Andy Jassy several years ago where one of the analysts asked the question. So you know, what's your perspective on Hybrid Cloud? In his response, candidly was, while we have this particular service and really, what he was talking to is a service that helps you on board to Amazon's public cloud. There was there was not an acknowledgment of hybrid cloud at the time, But look at how things have changed just in a short few years, and I understand where Jassy is coming from, but this is just exemplifies the fact that if you're a partner, you have to look beyond what Amazon is saying and think toe how the customer is evolving, how the enterprise is evolving and get yourself ahead of them. That will position you best for both today. And as you're building for the future. >>That's a great point, Dave. Complexity on buying. I'm a customer. You can throw me a marketplace all you want, but if I'm not gonna be tied into my procurement, how I'm consuming technology. Tim's point. Amazon isn't the only game in town. I got other suppliers. >>Yeah, well, certainly for some technology suppliers, they're basically could bring their on prem estate if it's big enough into the cloud. Uh, you know what is big enough? That's the big question here. You know, our guys like your red hats big enough. Okay, we know that Nutanix pure. They're sort of the next layer down. Can they do? They have enough of a customer base that they could bring into the cloud, create that abstraction layer, and then you got the born in the cloud guy Snowflake, Colombia or two good examples. Eso They've got the technology partners and then they're the size and consultants. And again, I see that is the really big opportunity is 10 points out? Amazon is acknowledging that hybrid Israel in in a newly defined way, they're going out to the edge, find you wanna call data center the edge. How are they going to support those installations? How are they gonna make sure that they're running properly? That they're connected to the business process? Those air That's s I whitespace. Huge. >>Guys, we have to wrap it up right now. But I just end on, you know, we'll get everyone go A little lightning around quick soundbite on the phrase with him, which stands for what's in it from me. So if I'm a partner, I'm a customer. I look at Amazon, I think. What's in it for me? Yeah. What a za customer like what do I get out of this? >>Yeah, having done, like more than 100 data center audits, and I'm seeing what mess up messes out there and having done quite a few migrations to cloud migrations of the messy messages piece, right? And it doesn't matter if you're migrating 10% or 20 or 30 it doesn't matter that how much you're migrating? It's a messy piece, and you cannot do with our partners that work. Actually, you need that. Know how you need to infuse that that education into into your organization, how to consume cloud, how toe make sense of it, how you change your processes and how you train your people. So it touches all the products, people and processes. So on three years, you gotta have partners on your side to make it >>so Hey, I'll go quick. And, Tim, you give you the last word. Complexity is cash. Chaos is cash. Follow the complexity. You'll make cash. >>Yeah, you said it, David. I think anyway, that you can help an enterprise simplify. And if you're the enterprise, if you're the customer, look for those partners. They're gonna help you simplify the journey over time. That's where the opportunity really lies. >>Okay, guys, Expert power panel here on Cuba live program, part of AWS reinvent virtual coverage, bringing you all the analysis from the experts. Digital transformations here. What's in it for me is a partner and customer. Help me make some money, master complexity and serve my customer. Mister Cube. Thanks for watching >>que Yeah, from around the globe. It's the cute
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It's the Cube with digital coverage of You guys, the posse, the Cube policy. You guys. Great to have you on. You have to find the right places where you can carve out And I think that leaves a lot of fertile ground for s eyes and I SVS to the chips and data. Behind the scenes with software. and then you can help your customers achieve their business called they have to focus a little more on services, and and some of the s eyes are building tools for multi cloud But if you can change your operating model, that's gonna drive telephone numbers to the bottom line. And as Sarpy just mentioned, you also have to consider that Amazon is not What's the opportunity to capture value? I mean, there's a lot of money to be made as a as a car dealer. the jerry tend to sort of Are you all all in cloud are sitting I made Thio, if I may interject for a second for the folks watching, Microsoft owns the tires and the gas And the rest you have to think about the toll journey. Remember back in the days when PCs where the boom many computers with most clients there was just getting And so that's the direction that I think things were going is, And it's just like the old data warehouse e all talk. As a service, you have to be Where in between is the container ization, the micro services and Lambda? But the piece that you also have thio bring into the conversation is Theo edge to cloud continuum heard how Jassy defined hybrid John in the article that you wrote when you did your one on one If the complexity could be mastered by the edge provider closest to the customer, is for the partner, you have to look beyond what Amazon is selling today. You can throw me a marketplace all you want, but if I'm not gonna be tied into my procurement, I see that is the really big opportunity is 10 points out? But I just end on, you know, we'll get everyone go A So on three years, you gotta have partners on your side to Follow the complexity. I think anyway, that you can help an enterprise simplify. part of AWS reinvent virtual coverage, bringing you all the analysis from It's the cute
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Keynote Analysis with Jerry Chen | AWS re:Invent 2020
>>on the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Hello and welcome back to the Cubes Live coverage Cube live here in Palo Alto, California, with the Virtual Cube this year because we can't be there in person. I'm your host, John Fairy year. We're kicking off Day two of the three weeks of reinvent a lot of great leadership sessions to review, obviously still buzzing from the Andy Jassy three. Our keynote, which had so many storylines, is really hard to impact. We're gonna dig that into into into that today with Jerry Chan, who has been a Cube alumni since the beginning of our AWS coverage. Going back to 2013, Jerry was wandering the hallways as a um, in between. You were in between vm ware and V C. And then we saw you there. You've been on the Cube every year at reinvent with us. So special commentary from you. Thanks for coming on. >>Hey, John, Thanks for having me and a belated happy birthday as well. If everyone out there John's birthday was yesterday. So and hardest. Howard's working man in technology he spent his entire birthday doing live coverage of Amazon re events. Happy birthday, buddy. >>Well, I love my work. I love doing this. And reinvent is the biggest event of the year because it really is. It's become a bellwether and eso super excited to have you on. We've had great conversations by looking back at our conversations over the Thanksgiving weekend. Jerry, the stuff we were talking about it was very proposed that Jassy is leaning in with this whole messaging around change and horizontal scalability. He didn't really say that, but he was saying you could disrupt in these industries and still use machine learning. This was some of the early conversations we were having on the Cube. Now fast forward, more mainstream than ever before. So big, big part of the theme there. >>Yeah, it z you Amazon reinvent Amazon evolution to your point, right, because it's both reinventing what countries are using with the cloud. But also what Amazon's done is is they're evolving year after year with their services. So they start a simple infrastructure, you know, s three and e c. Two. And now they're building basically a lot of what Andy said you actually deconstructed crm? Ah, lot of stuff they're doing around the call centers, almost going after Salesforce with kind of a deconstructed CRM services, which is super interesting. But the day you know, Amazon announces all those technologies, not to mention the AI stuff, the seminar stuff you have slack and inquired by Salesforce for $27.7 billion. So ah, lot of stuff going on in the cloud world these days, and it's funny part of it, >>you know, it really is interesting. You look up the slack acquisition by, um, by Salesforce. It's interesting, you know, That kind of takes slack out of the play here. I mean, they were doing really well again. Message board service turns into, um, or collaboration software. They hit the mainstream. They have great revenue. Is that going to really change the landscape of the industry for Salesforce? They've got to acquire it. It opens the door up from, or innovation. And it's funny you mention the contact Center because I was pressing Jassy on my exclusive one on one with him. Like they said, Andy, my my daughter and my sons, they don't use the phone. They're not gonna call. What's this? Is it a call center deal? And he goes, No, it's the It's about the contact. So think about that notion of the contact. It's not about the call center. It's the point of contact. Okay, Linked in is with Microsoft. You got slack and Salesforce Contact driven collaboration. Interesting kind of play for Microsoft to use voice and their data. What's your take on that? >>I think it's, um you know, I have this framework. As you know, I talked my friend systems of engagement over systems intelligence and systems record. Right? And so you could argue voice email slack because we're all different systems of engagement, and they sit on top of system of record like CRM customer support ticketing HR. Something like that. Now what sells first did by buying slack is they now own a system engagement, right? Not on Lee is slack. A system engagement for CRM, but also system engagement for E. R. P Service. Now is how you interact with a bunch of applications. And so if you think about sales for strategy in the space, compete against Marcus Soft or serves now or other large AARP's now they own slack of system engagement, that super powerful way to actually compete against rival SAS companies. Because if you own the layer engagement layer, you can now just intermediate what's in the background. Likewise, the context center its own voice. Email, chat messaging, right? You can just inter mediate this stuff in the back, and so they're trying to own the system engagement. And then, likewise, Facebook just bought that company customer a week ago for a billion dollars, which also Omni Channel support because it is chat messaging voice. It's again the system engagement between End User, which could be a customer or could be employees. >>You know, this really gonna make Cit's enterprise has been so much fun over the past 10 years, I gotta say, in the past five, you know, it's been even more fun, has become or the new fun area, you know, And the impact to enterprise has been interesting because and we're talking about just engaging system of record. This is now the new challenge for the enterprise. So I wanna get your thoughts, Jerry, because how you see the Sea, X O's and CSOs and the architects out there trying to reinvent the enterprise. Jassy saying Look and find the truth. Be on the right side of history here. Certainly he's got himself service interest there, but there is a true band eight with Cove it and with digital acceleration for the enterprise to change. Um, given all these new opportunities Thio, revolutionize or disrupt or radically improve, what's the C. C X's do? What's your take on? How do you see that? >>It's increasingly messy for the CXS, and I don't I don't envy them, right? Because back in the day they kind of controlled all the I t spend and kind of they had a standard of what technologies they use in the company. And then along came Amazon in cloud all of sudden, like your developers and Dio Hey, let me swipe my credit card and I'm gonna access to a bunch of a P I s around computing stories. Likewise. Now they could swipe the credit card and you strike for billing, right? There's a whole bunch of services now, so it becomes incumbent upon CSOs. They need Thio new set of management tools, right? So not only just like, um, security tools they need, they need also observe ability, tools, understanding what services are being used by the customers, when and how. And I would say the following John like CSOs is both a challenge for them. But I think if I was a C X, so I'll be pretty excited because now I have a bunch of other weapons and other bunch of services I could offer. My end users, my developers, my employees, my customers and, you know it's exciting for them is not only could they do different things, but they also changed how their business being done. And so I think both interact with their end users. Be a chat like slack or be a phone like a contact center or instagram for your for your for your kids. It's actually a new challenge if I were sick. So it's it's time to build again, you know, I think Cove it has said it is time to build again. You can build >>to kind of take that phrase from the movie Shawshank Redemption. Get busy building or get busy dying. Kinda rephrase it there. And that's kind of the theme I'm seeing here because covert kind of forced people saying, Look, this things like work at home. Who would have thought 100% people would be working at home? Who would have thought that now the workloads gonna change differently? So it's an opportunity to deconstruct or distant intermediate these services. And I think, you know, in all the trends that I've seen over my career, it's been those inflection points where breaking the monolith or breaking the proprietary piece of it has always been an opportunity for for entrepreneur. So you know, and and for companies, whether you're CEO or startup by decomposing and you can come in and create value E I think to me, snowflake going public on the back of Amazon. Basically, this is interesting. I mean, so you don't have to be. You could kill one feature and nail it and go big. >>I think we talked to the past like it's Amazon or Google or Microsoft Gonna win. Everything is winner take all winner take most, and you could argue that it's hard to find oxygen as a start up in a broad platform play. But we think Snowflake and other companies have done and comes like mongo DB, for example, elastic have shown that if you can pick a service or a problem space and either developed like I p. That's super deep or own developer audience. You can actually fight the big guys. The Big Three cloud vendors be Amazon, Google or or market soft in different markets. And I think if you're a startup founder, you should not be afraid of competing with the big cloud vendors because there there are success patterns and how you can win and you know and create a lot of value. So I have found Investor. I'm super excited by that because, you know, I don't think you're gonna find a company takedown Amazon completely because they're just the scale and the network effects is too large. But you can create a lot of value and build Valuable comes like snowflake in and around the Amazon. Google Microsoft Ecosystem. >>Yeah, I want to get your thoughts. You have one portfolio we've covered rock rock set, which does a lot of sequel. Um, one of your investments. Interesting part of the Kino yesterday was Andy Jassy kind of going after Microsoft saying Windows sequel server um, they're targeting that with this new, uh, tool, but, you know, sucks in the database of it is called the Babel Fish for Aurora for post Chris sequel. Um, well, how was your take on that? I mean, obviously Microsoft big. Their enterprise sales tactics are looking like more like Oracle, which he was kind of hinting at and commenting on. But sequel is Lingua Franca for data >>correct. I think we went to, like, kind of a no sequel phase, which was kind of a trendy thing for a while and that no sequel still around, not only sequel like mongo DB Document TV. Kind of that interface still holds true, but your point. The world speaks sequel. All your applications be sequel, right? So if you want backwards, compatibility to your applications speaks equal. If you want your tire installed base of employees that no sequel, we gotta speak sequel. So, Rock said, when the first public conversations about what they're building was on on the key with you and Me and vent hat, the founder. And what Rock said is doing their building real time. Snowflake Thio, Lack of better term. It's a real time sequel database in the cloud that's super elastic, just like Snowflake is. But unlike snowflake, which is a data warehouse mostly for dashboards and analytics. Rock set is like millisecond queries for real time applications, and so think of them is the evolution of where cloud databases air going is not only elastic like snowflake in the cloud like Snowflake. We're talking 10 15 millisecond queries versus one or two second queries, and I think what any Jassy did and Amazon with bowel officials say, Hey, Sequels, Legal frank of the cloud. There's a large installed base of sequel server developers out there and applications, and we're gonna use Babel fish to kind of move those applications from on premise the cloud or from old workload to the new workloads. And, I think, the name of the game. For for cloud vendors across the board, big and small startups thio Google markets, often Amazon is how do you reduce friction like, How do you reduce friction to try a new service to get your data in the cloud to move your data from one place to the next? And so you know, Amazon is trying to reduce friction by using Babel fish, and I think it is a great move by them. >>Yeah, by the way. Not only is it for Aurora Post Chris equal, they're also open sourcing it. So that's gonna be something that is gonna be interesting to play out. Because once they open source it essentially, that's an escape valve for locking. I mean, if you're a Microsoft customer, I mean, it ultimately is. Could be that Gateway drug. It's like it is ultimately like, Hey, if you don't like the licensing, come here. Now there's gonna be some questions on the translations. Um, Vince, um, scuttlebutt about that. But we'll see it's open source. We'll see what goes on. Um great stuff on on rocks that great. Great. Start up next. Next, uh, talk track I wanna get with you is You know, over the years, you know, we've talked about your history. We're gonna vm Where, uh, now being a venture capitalist. Successful, wanted Greylock. You've seen the waves, and I would call it the two ways pre cloud Early days of cloud. And now, with co vid, we're kind of in the, you know, not just born in the cloud Total cloud scale cloud operations. This is kind of what jazz he was going after. E think I tweeted Cloud is eating the world and on premise and the edges. What it's hungry for. It kind of goof on mark injuries since quote a software eating the world. This is where it's going. So it's a whole another chapter coming. You saw the pre cloud you saw Cloud. Now we've got basically global I t everything else >>It's cloud only I would say, You know, we saw pre cloud right the VM ware days and before that he called like, you know, data centers. I would say Amazon lawns of what, 6 4007, the Web services. So the past 14 15 years have been what I've been calling cloud transition, right? And so you had cos technologies that were either doing on migration from on premise and cloud or hybrid on premise off premise. And now you're seeing a generation of technologies and companies. Their cloud only John to your point. And so you could argue that this 15 year transitions were like, you know, Thio use a bad metaphor like amphibians. You're half in the water, half on land, you know, And like, you know, you're not You're not purely cloud. You're not purely on premise, but you can do both ways, and that's great. That's great, because that's a that's a dominant architecture today. But come just like rock set and snowflake, your cloud only right? They're born in the cloud, they're built on the cloud And now we're seeing a generation Startups and technology companies that are cloud only. And so, you know, unlike you have this transitionary evolution of like amphibians, land and sea. Now we have ah, no mammals, whatever that are Onley in the cloud Onley on land. And because of that, you can take advantage of a whole different set of constraints that are their cloud. Only that could build different services that you can't have going backwards. And so I think for 2021 forward, we're going to see a bunch of companies or cloud only, and they're gonna look very, very different than the previous set of companies the past 15 years. And as an investor, as you covering as analysts, is gonna be super interesting to see the difference. And if anything, the cloud only companies will accelerate the move of I t spending the move of mawr developers to the cloud because the cloud only technologies are gonna be so much more compelling than than the amphibians, if you will. >>Yeah, insisting to see your point. And you saw the news announcement had a ton of news, a ton of stage making right calls, kind of the democratization layer. We'll look at some of the insights that Amazon's getting just as the monster that they are in terms of size. The scope of what? Their observation spaces. They're seeing all these workloads. They have the Dev Ops guru. They launched that Dev Ops Guru thing I found interesting. They got data acquisition, right? So when you think about these new the new data paradigm with cloud on Lee, it opens up new things. Um, new patterns. Um, S o. I think I think to me. I think that's to me. I see where this notion of agility moves to a whole nother level, where it's it's not just moving fast, it's new capabilities. So how do you How do you see that happening? Because this is where I think the new generation is gonna come in and be like servers. Lambs. I like you guys actually provisioned E c. Two instances before I was servers on data centers. Now you got ec2. What? Lambda. So you're starting to see smaller compute? Um, new learnings, All these historical data insights feeding into the development process and to the application. >>I think it's interesting. So I think if you really want to take the next evolution, how do you make the cloud programmable for everybody? Right. And I think you mentioned stage maker machine learning data scientists, the sage maker user. The data scientists, for example, does not on provisioned containers and, you know, kodama files and understand communities, right? Like just like the developed today. Don't wanna rack servers like Oh, my God, Jerry, you had Iraq servers and data center and install VM ware. The generation beyond us doesn't want to think about the underlying infrastructure. You wanna think about it? How do you just program my app and program? The cloud writ large. And so I think where you can see going forward is two things. One people who call themselves developers. That definition has expanded the past 10, 15 years. It's on Lee growing, so everyone is gonna be developed right now from your white collar knowledge worker to your hard core infrastructure developer. But the populist developers expanding especially around machine learning and kind of the sage maker audience, for sure. And then what's gonna happen is, ah, law. This audience doesn't want to care about the stuff you just mentioned, John in terms of the online plumbing. So what Amazon Google on Azure will do is make that stuff easy, right? Or a starved could make it easy. And I think that the move towards land and services that moved specifically that don't think about the underlying plumbing. We're gonna make it easy for you. Just program your app and then either a startup, well, abstract away, all the all the underlying, um, infrastructure bits or the big three cloud vendors to say, you know, all this stuff would do in a serverless fashion. So I think serverless as, ah paradigm and have, quite frankly, a battlefront for the Big Three clouds and for startups is probably one in the front lines of the next generation. Whoever owns this kind of program will cloud model programming the Internet program. The cloud will be maybe the next platform the next 10 or 15 years. I still have two up for grabs. >>Yeah, I think that is so insightful. I think that's worth calling out. I think that's gonna be a multi year, um, effort. I mean, look at just how containers now, with ks anywhere and you've got the container Service of control plane built in, you got, you know, real time analytics coming in from rock set. And Amazon. You have pinned Pandora Panorama appliance that does machine learning and computer vision with sensors. I mean, this is just a whole new level of purpose built stuff software powered software operated. So you have this notion of Dev ops going to hand in the glove software and operations? Kind of. How do you operate this stuff? So I think the whole new next question was Okay, this is all great. But Amazon's always had this problem. It's just so hard. Like there's so much good stuff. Like, who do you hired operate it? It is not yet programmable. This has been a big problem for them. Your thoughts on that, >>um e think that the data illusion around Dev ops etcetera is the solution. So also that you're gonna have information from Amazon from startups. They're gonna automate a bunch of the operations. And so, you know, I'm involved to come to Kronos Fear that we talked about the past team kind of uber the Bilson called m three. That's basically next generation data dog. Next generation of visibility platform. They're gonna collect all the data from the applications. And once they have their your data, they're gonna know how to operate and automate scaling up, scaling down and the basic remediation for you. So you're going to see a bunch of tools, take the information from running your application infrastructure and automate exactly how to scale and manager your app. And so AI and machine learning where large John is gonna be, say, make a lot of plumbing go away or maybe not completely, but lets you scale better. So you, as a single system admin are used. A single SRE site reliability engineer can scale and manage a bigger application, and it's all gonna be around automation and and to your point, you said earlier, if you have the data, that's a powerful situations. Once have the data can build models on it and can start building solutions on the data. And so I think What happens is when Bill this program of cloud for for your, you know, broad development population automating all this stuff becomes important. So that's why I say service or this, You know, automation of infrastructure is the next battleground for the cloud because whoever does that for you is gonna be your virtualized back and virtualized data center virtualized SRE. And if whoever owns that, it's gonna be a very, very strategic position. >>Yeah, it's great stuff. This is back to the theme of this notion of virtualization is now gone beyond server virtualization. It's, you know, media virtualization with the Cube. My big joke here with the Q virtual. But it's to your point. It's everything can now be replicated in software and scale the cloud scale. So it's super big opportunity for entrepreneurs and companies. Thio, pivot and differentiate. Uh, the question I have for you next is on that thread Huge edge discussion going on, right. So, you know, I think I said it two years ago or three years ago. The data center is just a edges just a big fat edge. Jassy kind of said that in his keynote Hey, looks at that is just a Nedum point with his from his standpoint. But you have data center. You have re alleges you've got five G with wavelength. This local zone concept, which is, you know, Amazon in these metro areas reminds me the old wireless point of presence kind of vibe. And then you've got just purpose built devices like cameras and factory. So huge industrial innovation, robotics, meet software. I mean, whole huge edge development exploding, Which what's your view of this? And how do you look at that from? Is an investor in industry, >>I think edges both the opportunity for start ups and companies as well as a threat to Amazon, right to the reason why they have outposts and all the stuff the edges if you think about, you know, decentralizing your application and moving into the eggs from my wearable to my home to my car to my my city block edges access Super interesting. And so a couple things. One companies like Cloudflare Fastly company I'm involved with called Kato Networks that does. SAS is secure access service edge write their names and the edges In the category definition sassy is about How do you like get compute to the edge securely for your developers, for your customers, for your workers, for end users and what you know comes like Cloudflare and Kate have done is they built out a network of pops across the world, their their own infrastructure So they're not dependent upon. You know, the big cloud providers, the telco providers, you know, they're partnering with Big Cloud, their parting with the telcos. But they have their own kind of system, our own kind of platform to get to the edge. And so companies like Kato Networks in Cloud Player that have, ah, presence on the edge and their own infrastructure more or less, I think, are gonna be in a strategic position. And so Kate was seen benefits in the past year of Of of Cove it and locked down because more remote access more developers, Um, I think edge is gonna be a super great area development going forward. I think if you're Amazon, you're pushing to the edge aggressively without post. I think you're a developer startup. You know, creating your own infrastructure and riding this edge wave could be a great way to build a moat against a big cloud guy. So I'm super excited. You think edge in this whole idea of your own infrastructure. Like what Kato has done, it is gonna be super useful going forward. And you're going to see more and more companies. Um, spend the money to try to copy kind of, ah, Cloudflare Kato presence around the world. Because once you own your own kind of, um, infrastructure instead of pops and you're less depend upon them a cloud provider, you're you're in a good position because there's the Amazon outage last week and I think like twilio and a bunch of services went down for for a few hours. If you own your own set of pops, your independent that it is actually really, really secure >>if you and if they go down to the it's on you. But that was the kinesis outage that they had, uh, they before Thanksgiving. Um, yeah, that that's a problem. So on this on. So I guess the question for you on that is that Is it better to partner with Amazon or try to get a position on the edge? Have them either by you or computer, create value or coexist? How do you see that that strategy move. Do you coexist? Do you play with them? >>E think you have to co exist? I think that the partner coexist, right? I think like all things you compete with Amazon. Amazon is so broad that will be part of Amazon and you're gonna compete with and that's that's fair game, you know, like so Snowflake competes against red shift, but they also part of Amazon's. They're running Amazon. So I think if you're a startup trying to find the edge, you have to coexist in Amazon because they're so big. Big cloud, right, The Big three cloud Amazon, Google, Azure. They're not going anywhere. So if you're a startup founder, you definitely coexist. Leverage the good things of cloud. But then you gotta invest in your own edge. Both both figure early what? Your edge and literally the edge. Right. And I think you know you complement your edge presence be it the home, the car, the city block, the zip code with, you know, using Amazon strategically because Amazon is gonna help you get two different countries, different regions. You know you can't build a company without touching Amazon in some form of fashion these days. But if you're a star found or doing strategically, how use Amazon and picking how you differentiate is gonna be key. And if the differentiation might be small, John. But it could be super valuable, right? So maybe only 10 or 15%. But that could be ah Holton of value that you're building on top of it. >>Yeah, and there's a little bit of growth hack to with Amazon if you you know how it works. If you compete directly against the core building blocks like a C two has three, you're gonna get killed, right? They're gonna kill you if the the white space is interest. In the old days in Microsoft, you had a white space. They give it to you or they would roll you over and level you out. Amazon. If you're a customer and you're in a white space and do better than them, they're cool with that. They're like, basically like, Hey, if you could innovate on behalf of the customer, they let you do that as long as you have a big bill. Yeah. Snowflakes paying a lot of money to Amazon. Sure, but they also are doing a good job. So again, Amazon has been very clear on that. If you do a better job than us for, the customer will do it. But if they want Amazon Red Shift, they want Amazon Onley. They can choose that eso kind of the playbook. >>I think it is absolutely right, John is it sets from any jassy and that the Amazon culture of the customer comes first, right? And so whatever is best for the customer that's like their their mission statement. So whatever they do, they do for the customer. And if you build value for the customer and you're on top of Amazon, they'll be happy. You might compete with some Amazon services, which, no, the GM of that business may not be happy, but overall. Net Net. Amazon's getting a share of those dollars that you're that you're charging the customer getting a share of the value you're creating. They're happy, right? Because you know what? The line rising tide floats all the boats. So the Mork cloud usage is gonna only benefit the Big Three cloud providers Amazon, particularly because they're the biggest of the three. But more and more dollars go the cloud. If you're helping move more. Absolute cloud helping build more solutions in the cloud. Amazon is gonna be happy because they know that regardless of what you're doing, you will get a fraction of those dollars. Now, the key for a startup founder and what I'm looking for is how do we get mawr than you know? A sliver of the dollars. How to get a bigger slice of the pie, if you will. So I think edge and surveillance or two areas I'm thinking about because I think there are two areas where you can actually invest, own some I p owned some surface area and capture more of the value, um, to use a startup founder and, you know, are built last t to Amazon. >>Yeah. Great. Great thesis. Jerry has always been great. You've been with the Cube since the beginning on our first reinvented 2013. Um, and so we're now on our eighth year. Great to see your success. Great investment. You make your world class investor to great firm Greylock. Um great to have you on from your perspective. Final take on this year. What's your view of Jackie's keynote? Just in general, What's the vibe. What's the quick, um, soundbite >>from you? First, I'm so impressed and you can do you feel like a three Archy? No more or less by himself. Right then, that is, that is, um, that's a one man show, and I'm All of that is I don't think I could pull that off. Number one. Number two It's, um, the ability to for for Amazon to execute at so many different levels of stack from semiconductors. Right there, there there ai chips to high level services around healthcare solutions and legit solutions. It's amazing. So I would say both. I'm impressed by Amazon's ability. Thio go so broad up and down the stack. But also, I think the theme from From From Andy Jassy is like It's just acceleration. It's, you know now that we will have things unique to the cloud, and that could be just a I chips unique to the cloud or the services that are cloud only you're going to see a tipping point. We saw acceleration in the past 15 years, John. He called like this cloud transition. But you know, I think you know, we're talking about 2021 beyond you'll see a tipping point where now you can only get certain things in the cloud. Right? And that could be the underlying inference. Instances are training instances, the Amazons giving. So all of a sudden you as a founder or developer, says, Look, I guess so much more in the cloud there's there's no reason for me to do this hybrid thing. You know, Khyber is not gonna go away on Prem is not going away. But for sure. We're going to see, uh, increasing celebration off cloud only services. Um, our edge only services or things. They're only on functions that serve like serverless. That'll be defined the next 10 years of compute. And so that for you and I was gonna be a space and watch >>Jerry Chen always pleasure. Great insight. Great to have you on the Cube again. Great to see you. Thanks for coming on. >>Congrats to you guys in the Cube. Seven years growing. It's amazing to see all the content put on. So you think it isn't? Just Last point is you see the growth of the curve growth curves of the cloud. I'd be curious Johnson, The growth curve of the cube content You know, I would say you guys are also going exponential as well. So super impressed with what you guys have dealt. Congratulations. >>Thank you so much. Cute. Virtual. We've been virtualized. Virtualization is coming here, or Cubans were not in person this year because of the pandemic. But we'll be hybrid soon as events come back. I'm John for a year. Host for AWS reinvent coverage with the Cube. Thanks for watching. Stay tuned for more coverage all day. Next three weeks. Stay with us from around the globe. It's the Cube with digital coverage of aws reinvent 2020 sponsored by Intel >>and AWS. Welcome back here to our coverage here on the Cube of AWS.
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And then we saw you there. So and hardest. It's become a bellwether and eso super excited to have you on. But the day you know, Amazon announces all those technologies, And it's funny you mention the contact I think it's, um you know, I have this framework. you know, And the impact to enterprise has been interesting because and we're talking about just engaging So it's it's time to build again, you know, I think Cove it has said it is time to build again. And I think, you know, I'm super excited by that because, you know, I don't think you're gonna find a company takedown Amazon completely because they're with this new, uh, tool, but, you know, sucks in the database of And so you know, Amazon is trying to reduce friction by using Babel fish, is You know, over the years, you know, we've talked about your history. You're half in the water, half on land, you know, And like, you know, you're not You're not purely cloud. And you saw the news announcement had a ton of news, And so I think where you can see So you have this notion of Dev ops going to hand And so, you know, I'm involved to come to Kronos Fear that we Uh, the question I have for you next is on that thread Huge the telco providers, you know, they're partnering with Big Cloud, their parting with the telcos. So I guess the question for you on that is that Is it better to partner with Amazon or try to get a position on And I think you know you complement your edge presence be it the home, Yeah, and there's a little bit of growth hack to with Amazon if you you know how it works. the pie, if you will. Um great to have you on from your perspective. And so that for you and I was gonna be a Great to have you on the Cube again. So super impressed with what you guys have dealt. It's the Cube with digital coverage of aws here on the Cube of AWS.
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Shlomi Ben Haim, JFrog | AWS re:Invent 2020
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel AWS and our community partners >>Telephone. Welcome back to the cubes. Virtual coverage of AWS reinvent 2020. We got the cube virtual because we're not in person. Got a great remote interview. Slummy Mannheim. Who's the CEO? Co founder, uh, exciting company. Drake J Frog. We went public this year. Congratulations, Cube alumni. Really a successor of White. The cloud exists in all the greatness and goodness of technology. It's not great to see you. Thanks for coming off of the special reinvent segment. >>Thank you. Thank you for having me, John. Great to see you again. >>So you guys have your mission continues. You're growing. We're here at reinvent. What's the story? Give us the quick news. Visa vee. Reinvent N A W s. >>Well, we had Ah, wonderful, uh, wonderful. Two months. Uh, since we went public on September 16, um, the company actually going past and they have UPS. Industry is going along us along. Excite us. So we're very excited about it. Um, great. Here. Great journey. You guys met us two years ago. So So you know the swamp. Well, then we're very excited being reinvent again, although virtually defined. >>You know, when you get a tailwind and you have a trend that your friend you guys had certainly had that with the developer first. That's the mantra. Everyone's talking about that now. You guys saw it early. The future of binary lifecycle management Dev Ops was the lifeblood of Dev ops. Now more is happening. You got automation. You got everything as a service which makes the developer equation even more powerful. Abstracting away complexities is even more needed. What's your vision on this? How do you guys continue the momentum in this now Highly accelerated cove it and soon to be post covert environment. >>Yeah. You know, John co vid actually accelerated what we already so years ago. And, uh, what we've seen is that the war demands a better way to update software. Look at us. Even this interview is being powered by software, right? I'm staring at the camera. I e used to sit in your studio and everything we do we all the food by by software. Our kids are at home learning with software. So obviously the demand for most software and most software updates is there, and Dev Ops is just the vehicle now. Once you understand that, you have to ask yourself, what is the primary asset that we really need to automate in order to become faster and secure and to provide a seamless software really slow? And what we identify 12 years ago is that it's the software packages, the binaries azi. We were named by the community, the binary people. >>Yeah, and and this is cool because not only it's just not a tool, it's a platform. You guys don't have a platform view. We talked about this in 2017. I remember The conversation like this is pretty compelling. This is Ah, go big or go home. You guys went big, for sure and successful. How do you take that platform approach to Dev Ops, where you have to enable success, you gotta have the enterprise features you got now hybrid multiple environment with the edge and other clouds air happening. How are you looking at this? >>Yes, So today it's it's quite clear in the in the enterprise falls zero. Everybody understand. Developers are the rainmakers. The communities is what powers innovation and what makes changes Look a talker. Look at problematic. Look at cloud native. It didn't started the enterprise. It starts with the developer. The developer mind this is, I think, the biggest democracy. And when we realized that 10 years ago, our philosophy was very, very clear, we would like the developers to have the freedom of choice. We want them to have ah, universal solution that supports all technologies, all software packages. Then we want them to have a hybrid solution. They prefer to one in the cloud also fostered. We will be, um, completely for it. And then not just in the cloud, but also multi cloud. So the full the full freedom of choice coined by the community, the Switzerland of develops. And, uh, starting as you mentioned, we started without a factory housing factories. The database of them are posting all of your software packages, all type of software packages. Then J. Fogg, X ray, our security vulnerability and license compliance tool that natively integrate without the factory. Then J Fogg distribution that push your software packages to the edge. We acquired two companies cloud much for the dashboard, did oversee all the pipeline and ship a bell, which is today, Jeff Pipelines, Our C I c d. And then we did you know, it was a long journey, but very food food for us, and we are very proud to build it together with the community. >>Well, not only did you guys succeed execution wise, the vision was phenomenal. The execution with the acquisitions, you really knocked down some great accomplishments. Eso Congratulations. You just laid that out, you know? Good call out there. I do want to ask you about this liquid software narrative. Can you take a minute toe? Unpack that a little bit? Because this is new. It seems to be something that is about the collective vision. How does this come together? Because you gotta do act to now. Act one is over. You went public. You did all the work. You built the company. You got a durable business. Got great customers. Happy community. What's this liquid software thing? >>Well, think about it. Liquid software might be our vision J. Fogg vision, but it's the world's mission. Now we want to have Netflix podcasting to our home without any software update disturbing us. We want to have our iPhone being updated automatically and seamlessly without a reboot. We want our Tesla, uh, to be updated without shutting down the model and schedule and update. And this is our mission. This is the big picture. How can we make sure that software is running smoothly from the developers Single tips all the way to the edge, no matter what the edges. Now, in order to achieve that, you have to be fast. You have to be automated, you have to be secure. And you have to be focused on the assets that moved from the developer, the hands off from the developers to the op that goes all the way to the devices, the machines or whatever edge. And these are the binaries. So the vision of flick with software is a software updates slowing, uh, into your pipe seamlessly all the way from from the creator to the consumer. >>You know, that's the Holy Grail. That's the Nirvana. That's the dream of edge. You know, if you think about the old days, I'm old enough to remember back in the eighties, when we used to build purpose, built everything full stack developer hardware, ground up everything supply chain hardware, software done. Now you got an edge that still needs to be purpose built at the same time, you have a half of a software operating model. This to me, seems to be a great liquid software moment where I need to have special is, um, at the device. But I need a root of trust. I need quality. I need to have software operations, but I can't go down, whether it's in space or in the data center. What's your reaction to that? >>I think that, you know, liquid software is already happening. Um, if I would ask you what's version off Facebook are using, I bet you don't know what both version of Zuma we currently using, uh, for this interview. We don't know because it's happening behind the scene. Liquid software is happening and and you're right. It was It was the one big back that we had to take care of everything. And now it's a different way. But still developers are taking care of all the gates, all the stages. Think about all the, um, all the gates that kind of shifted left like security. Now it's in the hands of the developers, test automation developers automation in order to be fast and to scale fast developers and the option the and the depth kind of come together. This is already a cliche, so I don't need to again talk about Deva. But if you do it right from the moment you build and secure your software, then you will be faster than your competitors and organization realized that if you are not fastened secure, you will fall behind and you will lose your competitive advantage. So what we see now is the liquid doctor already happened and there is much more responsibility and much more expectations from the development organization. >>Yeah, it's awesome. You want to security Big 10. By the way, I'm running 10 15.7 uh, Catalina And when you run your >>you have to go liquid. >>When you when you go liquid, can you just make sure that always lands on a odd number? We know the even numbers are unlucky, so don't give me the, you know, make it work for me. Keep it liquid. Um, you >>know, one. I'm sorry. One of the biggest campaign we ever had was a big sign that says, imagine there's no version. Imagine There's no version. Imagine that you don't care what the version is because actually the consumer. My mother, she doesn't want to know what zoom version she used when she picked with me. >>Hey, we got server list. I could go version list, too. I mean, who doesn't want a version of this system? Look, this is critical. I love the hands on Hands off mindset. This is about non disruptive operations. You're starting to get into that kind of liquidity. What's next? What do you guys hearing at reinvent this year? Obviously, is virtual. So there's a lot of different touch points of over this three weeks. We got a lot of cube coverage. We're hearing speed, agility, agility has been around for a while. We're hearing speed is critical right now. It's the number one thing we're hearing across environments. That's the number one feature that we're hearing. What are you hearing? >>Yeah, well, John first, you know, I'm grateful as the CEO to have ah team off almost 700 employees worldwide doing this with the community, by the community and for the community. And we are very, very honored to have, um, over 6000 customers the majority. The vast majority of the Fortune 100 already powered by J Foe, the biggest bank, the biggest retail, the biggest tech company and what we hear from them. And I think that you know, a mental that stay humbled and listen to the community learns a lot. And the wisdom of the community is telling us the following number one double down on security because we still in the process in the transition of moving the responsibility to the developers. Even the system off the organization is still freaking out from from releases seven times a day. The second thing that we hear is that if software packages are the primary asset, then we want to have the freedom of choice. We want to integrate with whatever ecosystems I want to use Docker and dotnet and Java and pipe I and N P m. At the same time in the same resource. So consolidate consolidate this all for me And the last thing we hear is we We are also best of breed, But some some packages must come together and this is where the end to end solution coming from J. Prague is vital for the organization. You get the repository, the security, the distribution and the C I c d from the same vandal. Now take this and push the pedal even more, Uh, toe to the end. And you will see that the deployment environment that also got a bit more complex requires hybrid solution and multi cloud solution. There is no Fortune 100 company. It will just go with one cloud or with one solution. And when you come with unauthentic hybrid solution, multi cloud, that's a real This is a fanatic freedom of choice and the fanatic democracy that we give to developers. >>That's a great mission. Freedom of choice. No lock in lock ins. The new the new lock in his choice. New lock in his performance and scale. Slow me. Thank you for coming on The Cube behind CEO and co founder of Jay Frog. Mad props and congratulations to you and your team and swamp for great success having the right product at the right time. Developer first. Great stuff. Congratulations. Thanks for coming. >>Thank you very much and made the frog be with us and made this pandemic Thanks. Thank you very >>much. I want to get back to real life. I miss life. Thank you for coming. I miss it. This is the Cube. Virtual. We are cute. Virtual. Thanks for watching reinvent coverage. 2020. I'm John for your host. Yeah.
SUMMARY :
It's the Cube with digital coverage We got the cube virtual because we're not in person. Great to see you again. So you guys have your mission continues. So So you know the swamp. You know, when you get a tailwind and you have a trend that your friend you guys had certainly had that with the developer the software packages, the binaries azi. Ops, where you have to enable success, you gotta have the enterprise features you got now So the full the full freedom of choice coined I do want to ask you about this the hands off from the developers to the op that goes all the way to the devices, an edge that still needs to be purpose built at the same time, you have a half of a software operating model. from the moment you build and secure your software, then you will be faster than your competitors Catalina And when you run your We know the even numbers are unlucky, so don't give me the, you know, make it work for me. One of the biggest campaign we ever I love the hands on Hands off mindset. And I think that you know, a mental that stay humbled and listen to the community learns a lot. Mad props and congratulations to you and your team and swamp for great success Thank you very much and made the frog be with us and made this pandemic Thanks. This is the Cube.
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Dion Hinchcliffe, Constellation Research | AWS re:Invent 2020
>>on >>the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Okay. Welcome back, everyone. That's the cubes. Live coverage here in Palo Alto, California. I'm John for your host with David Lantana in Boston. Massachusetts. Uh, we got a great panel here. Analysts just gonna break it down. Keynote analysis. Day one, we got Ah, longtime Web services expert analyst Diane Hinchcliffe, principal researcher at N V. P. It constantly research, but he goes way back. Dan, I remember, uh, 2000 and one time frame you and I'm >>reading Last time you and I hang out with Michael Arrington's house back in the TechCrunch days >>back when, you know you were on this was Web services. I mean, that's always, uh, serves on the architectures. They called it back then. This was the beginning. This really was the catalyst of cloud. If you think about virtualization and Web services in that era, that really spawned where we are today so great to >>have you on as an Amazon got their start saying that everyone could get whatever they want to on a P. I now right, >>all right? Well, we've been riding this wave. Certainly it's cotton now more clear for the mainstream America. And I quoted you in my story, uh, on Andy Jassy when I had my one on one with them because I saw your talk with star Bit of the weekend and in the way you kicked it off was the Pandemic four was forced upon everybody, which is true, and that caught my attention was very notable because you talked to a lot of C E. O s. Does jazz sees pitch resonate with them? In your opinion, what's your take on on that on that posture? Because we heard, hey, you know, get busy building or you're dying, right? So get busy building. That's what >>I thought that was a good message. But I mean on and certainly I saw tweets and said, Hey, he's just he's just directly talking to the CEO. But if you ask me, he's still talking to the CTO, right? The technology officer who's got a feels all this technology and bend it into the shape that it will serve the business. You talk to a CEO who wants is trying to get on the cloud their biggest challenges. I know I need armies of people who know all these brand new services. You saw the development velocity of all the things that they announced and things they re emphasized there was There was a lot of things that were bringing back again because they have so many things that they're offering to the public. But the developer skills or not, they're the partner skills are not there. So you talked to CEO, says All right, I buy in and and I have had to transform overnight because of the pandemic, my customers have moved, my workers have moved on, and I have to like, you know, redirect all my I t Overnight and Cloud is the best way to do that. Where's my where's all the skills for the training programs, the department programs that allow me to get access to large amounts of talent? Those are the types of things that the CEO is concerned about is from an operational perspective. We didn't hear anything about, like a sales force type trailhead where we're going to democratize cloud skills to the very far end of your organization. >>Yeah, they're just kind of scratching the service. They didn't mention that, you know, far Gates away to get into server list. I mean, this is ultimately the challenge Dave and Deena like, don't get your thoughts on this because I was talking Teoh a big time CTO and a big time see so and that perspectives were interesting. And here's the Here's the Here's what I want you to react Thio the sea level Say everything is gonna be a service. Otherwise we're gonna be extinct. Okay, that's true. I buy that narrative, Okay, Make it as a service. That's why not use it. And then they go to the C t. And they say, implement, They go Well, it's not that easy. So automation becomes a big thing. And then so there's this debate. Automate, automate, automate. And then everything becomes a service. Is it the cart before the horse? So is automation. It's the cart before the horse, for everything is a service. What do you guys think about that? >>We'll see. I mean, CEO is to Diane's point, are highly risk averse and they like services. And those services generally are highly customized. And I think the tell in the bevy of announcements the buffet have announces that we heard today was in the marketplace what you guys thought of this or if you caught this. But there was a discussion about curated professional services that were tied to software, and there were classic PDM services. But they were very, you know, tight eso sort of off the shelf professional services, and that's kind of how Amazon plays it. And they were designed to be either self serve. It's a Diane's point. Skill sets aren't necessarily there or third parties, not directly from Amazon. So that's a gap that Amazon's got too close. I mean, you talk about all the time without post installations, you know, going on Prem. You know who's gonna support and service those things. You know, that's a that's a white space right now. I think >>e think we're still reading the tea leaves on the announcements. But there was one announcement that was, I thought really important. And that was this VM Ware cloud for a W s. It says, Let's take your VM ware skills, which you've honed and and cultivated and built a talent base inside your organization to run VMS and let's make that work for a W s. So I thought the VM Ware cloud for a W s announcement was key. It was a sleeper. It didn't spend a lot of time on it. But the CEO ears are gonna perk up and say, Wait, I can use native born skills. I already have to go out to the cloud So I didn't think that they did have 11 announcement I thought was compelling in that >>in the spending data shows of VM Ware Cloud on AWS is really gaining momentum by the way, As you see in that open shift So you see in that hybrid zone really picking up. And we heard that from AWS today. John, you and I talked about it at the open I produces in >>Yeah, I want to double down on that point you made because I want to get your thoughts on this a Z analyst because you know, the VM ware is also tell. Sign to what I'm seeing as operating and developing Dev ops as they be called back in the day. But you gotta operate, i t. And if Jassy wants to go after this next tier of spend on premise and edge. He's gotta win the global i t posture game. He's gotta win hybrid. He's got to get there faster to your point. You gotta operate. It's not just develop on it. So you have a development environment. You have operational environment. I think the VM Ware thing that's interesting, cause it's a nice clean hand in glove. VM Ware's got operators who operate I t. And they're using Amazon to develop, but they work together. There's no real conflict like everyone predicted. So is that the tell sign is the operational side. The challenge? The Dev, How does Amazon get that global I t formula down? Is it the VM Ware partnership? >>I think part of it is there, finally learning to say that the leverage that the vast pool of operational data they have on their literally watching millions of organizations run all the different services they should know a lot and I say made that point today, he said, Well, people ask us all the time. You must have all these insights about when things were going right or wrong. Can you just tell us? And so I think the announcement around the Dev ops guru was very significant, also saying you don't necessarily have to again teach all your staff every in and out about how to monitor every aspect of all these new services that are much more powerful for your business. But you don't yet know how to manage, especially at scale. So the Dev Ops guru is gonna basically give a dashboard that says, based on everything that we've known in the past, we could give you insights, operational insights you can act on right away. And so I think that is again a tool that could be put in place on the operational side. Right. So b m where for cloud gives you migration ability, uh, of existing skills and workloads. And then the Dev Ops crew, if it turns out to be everything they say it is, could be a really panacea for unlocking the maturity curve that these operators have to climb >>on. AWS is in the business now of solving a lot of the problems that it sort of helped create. So you look at, for instance, you look at the sage maker Data Wrangler trying to simplify data workloads. The data pipeline in the cloud is very very complex and so they could get paid for helping simplify that. So that's a wonderful, virtuous circle. We've seen it before. >>Yeah. I mean, you have a lot of real time contact lens you've got, um, quick site. I mean, they have to kind of match the features. And And I want to get your guys thoughts on on hybrid because I think, you know, I'm still stuck on this, Okay? They won the as path and their innovations Great. The custom chips I buy that machine learning all awesome. So from the classic cloud I as infrastructure and platform as a service business looking good. Now, if you're thinking global, I t I just don't just not connecting the dots there. See Outpost? What's riel today for Amazon? Can you guys share E? I mean, if you were watching this keynote your head explode because you've got so many announcements. What's actually going on if you're looking at this is the CEO. >>So the challenge you have is the CEO. Is that your you have 10, 20 or 30 or more years of legacy hardware, including mainframes, right. Like so big insurance companies don't use mainframe because their claims systems have been developed in their very risk averse about changing them. Do you have to make all of this work together? Like, you know, we see IBM and Redhead are actually, you know, chasing that mainframe. Which angle, which is gonna die out where Amazon, I think is smart is saying, Look, we understand that container is gonna be the model container orchestration is gonna be how I t goes forward. The CEO is now buy into that. Last year, I was still saying, Are we gonna be able to understand? Understand? Kubernetes is the regular average i t person, which are not, you know, Google or Facebook level engineers Are there gonna be able to do do containers? And so we see the open sourcing of of the AWS is, uh, kubernetes, uh, server on. We see plenty of container options. That's how organizations could build cloud native internally. And when they're ready to go outside because we're gonna move, they're gonna move many times slower than a cloud native company to go outside. Everything is ready there. Um, I like what I'm seeing without posts. I like what I'm seeing with the hybrid options. The VM ware for cloud. They're building a pathway that says you can do real cloud. And I think the big announcement that was that. That s a really, uh, spend time on which is that PCs for everywhere. Um, a saying you're gonna be able to put Amazon services are compute services anywhere. You need it, e think that's a smart message. And that allows people to say I could eventually get toe one model to get my arms around this over time >>day. What does that mean for the numbers? I know you do a lot of research on spend customer data. Um, CEO is clearly no. This is gonna be the world's never go back to the same way it was. They certainly will accelerate cloud toe. What level depends upon where they are in their truth, as Jassy says. But >>what does >>the numbers look at? Because you're looking at the data you got Microsoft, You got Amazon. What's the customer spend look like where they're gonna be spending? >>Well, so a couple things one is that when you strip out the the SAS portion of both Google and Azure, you know, as we know, I asked him pass A W S is the leader, but there's no question that Microsoft is catching up. Says that we were talking about earlier. Uh, it's the law of large numbers Just to give you a sense Amazon this year we'll add. Q four is not done yet, but they'll add 10 billion over last year. And Jesse sort of alluded to that. They do that in 12 months. You know, uh, azure will add close to nine billion this year of incremental revenue. Google much, much smaller. And so So that's, you know, just seeing, uh, as you really catch up there for sure, you know, closing that gap. But still Amazon's got the lead. The other thing I would say is die on you and I were talking about this Is that you know Google is starting. Thio do a little bit better. People love their analytics. They love the built in machine learning things like like big query. And you know, even though they're much, much smaller there, another hedge people don't necessarily want to goto Microsoft unless they're Microsoft Shop. Google gives them that alternative, and that's been a bit of a tailwind for Google. Although I would say again, looking at the numbers. If I look back at where Azure and AWS were at this point where Google is with a few billion dollars in cloud the growth rates, I'd like to see Google growing a little faster. Maybe there's a covert factor there. >>Diane. I want to get your thoughts on this transition. Microsoft Oracle competition Um, Jesse knows he's got a deal with the elite Salesforce's out there. Oracle, Microsoft. Microsoft used to be the innovator. They had the they had the phrase embracing extend back in the day. Now Amazon's embracing and extending, but they gotta go through Oracle and Microsoft if they wanna win the enterprise on premise business and everybody else. Um, eso welcome to the party like Amazon. You What's your take on them versus Microsoft? Calling them out on sequel server licensing practices almost thrown him under the bus big time. >>Well, I think that's you know, we saw the evidence today that they're actually taking aim at Microsoft now. So Babel Fish, which allows you to run Microsoft sequel server workloads directly on Aurora. Uh, that that is what I call the escape pod that gives organizations an easy way That isn't Will parliament to redesign and re architect their applications to say, Just come over to AWS, right? We'll give you a better deal. But I think you've got to see Amazon have, um, or comprehensive sales plan to go into the C. E. O s. Go after the big deals and say, You know, we want to say the whole cloud suite, we have a stack that's unbeatable. You see our velocities, you know, best in class. Arguably against Microsoft is the big challenger, but we'll beat you on on a total cost of ownership. You know, your final bill. At the end of the day, we could we commit to being less than our competitors. Things like that will get the attention. But, you know, uh, Amazon is not known for cutting customized deals. Actually, even frankly, I'm hearing from very CEO is a very large, like Fortune 20 companies. They have very little wiggle room with Microsoft's anybody who's willing to go to the big enterprise and create custom deals. So if you build a sales team that could do that, you have a real shot and saying getting into the CEO's office and saying, You know, we want to move all the I t over and I'm seeing Microsoft getting winds like that. I'm not yet seeing Amazon and they're just gonna have to build a specialized sales team that go up against those guys and migration tools like we saw with Babel fish that says, If you want to come, we can get you over here pretty quick. >>I want to chime in on Oracle to John. I do. I think this is a blind spot somewhat for AWS, Oracle and mainframes. Jesse talks that talks like, Oh yeah, these people, they wanna get off there. And there's no question there are a number of folks that are unhappy, certainly with Oracle's licensing practices. But I talked to a lot of Oracle customers that are running the shops on Oracle database, and it's really good technology. It is world class for mission critical transaction workloads. Transaction workloads tend to be much, much smaller data set sizes, and so and Oracle's got, you know, decades built up, and so their their customers air locked in and and they're actually reasonably happy with the service levels they're getting out of Oracle. So yes, licensing is one thing, but there's more to the story and again, CEO or risk averse. To Diane's point, you're not just gonna chuck away your claim system. It's just a lot of custom code. And it's just the business case isn't there to move? >>Well, I mean, I would argue that Well, first of all, I see where you're coming from. But I would also argue that one of the things that Jesse laid out today that I thought was kind of a nuanced point was during the vertical section. I think it was under the manufacturing. He really laid out the case that I saw for startups and or innovation formula, that horizontal integration around the data. But then being vertically focused with the modern app with same machine learning. So what he was saying, and I don't think he did a good job doing it was you could disrupt horizontally in any industry. That's a that's a disruption formula, but you still could have that scale. That's cloud horizontal scalability, cloud. But the data gives you the ability to do both. I think bringing data together across multiple silos is critical, but having that machine learning in the vertical is the way you could different so horizontally. Scalable vertical specialization for the modern app, I think is a killer formula. And I think >>I think that's a I think it's a really strong point, John, and you're seeing that you're seeing in industries like, for instance, Amazon getting into grocery. And that's a data play. But I do like Thio following your point. The Contact Center solutions. I like the solutions play there and some of the stuff they're doing at the edge with i o T. The equipment optimization, the predictive maintenance, those air specialized solutions. I really like the solutions Focus, which several years ago, Amazon really didn't talk solution. So that's a positive sign, >>Diane, what do you think? The context And I think that was just such low hanging fruit for Amazon. Why not do it? You got the cloud scale. You got the Alexa knowledge, you know, got machine learning >>zone, that natural language processing maturity to allow them to actually monitor that. You know that that contact lens real time allows them a lot of supervisors to intervene them conversations before they go completely south, right? So allowing people to get inside decision windows they couldn't before. I think that's a really important capability. And that's a challenge with analytics in general. Is that generates form or insights than people know how to deal with? And it solutions like contact lens Real time? This is Let's make these insights actionable before it's broken. Let's give you the data to go and fix it before it even finishes breaking. And this is the whole predictive model is very powerful. >>Alright, guys, we got four minutes left. I wanted Segway and finish up with what was said in the keynote. That was a tell sign that gives us some direction of where the dots will connect in the future. There's a lot of stuff that was talked about that was, you know, follow on. That was meat on the bone from previous announcements. Where did Jassy layout? What? I would call the directional shift. Did you see anything particular that you said? Okay, that is solid. I mean, the zones was one I could see. What clearly is an edge piece. Where did you guys see? Um, some really good directional signaling from Jassy in terms of where they really go. Deal with start >>e I felt like Jassy basically said, Hey, we invented cloud. Even use these words we invented cloud and we're gonna define what hybrid looks like We're gonna bring our cloud model to the edge. And the data center just happens to be another edge point. And hey, I thought he laid down the gauntlet. E think it's a very powerful message. >>What do you think Jesse has been saying? That he laid out here, That's >>you laid out a very clear path to the edge that the Amazons marching to the edge. That's the next big frontier in the cloud. It isn't well defined. And that just like they defined cloud in the early days that they don't get out there and be the definitive leader in that space. Then they're gonna be the follower. I think so. We saw announcement after announcement around that you know, from the zones Thio the different options for outpost um, the five g announcement wavelength. All of those things says we're gonna go out to the very tippy edge is what I heard right out to your mobile devices. Right after the most obscure field applications imaginable. We're gonna have an appliance So we're gonna have a service that lets you put Amazon everywhere. And so I think the overarching message was This is a W s everywhere it z gonna go after 100% of I t. Eventually on DSO you can move to that. You know, this one stop shop? Um and you know, we saw him or more discussions about multi cloud, but it was interesting how they stand away from that. And this is what I think One area that they're going to continue to avoid. So it was interesting, >>John, I think I think the edges one by developers. And that's good news for Amazon. And good news for Microsoft. >>We'll see the facilities is gonna be good for me. I think guys, the big take away You guys nailed two of them there, but I think the other one was I think he's trying to speak to this new generation in a very professorial way. Talk about Clay Christensen was a professor at his business school at Harvard. We all know the book. Um, but there was this There was this a posture of speaking to the younger generation like hey, the old guy, the old that was running the mainframe. Wherever the old guys there, you could take over and run this. So it's kind of like more of a leadership preach of preaching like, Hey, it's okay to be cool and innovative, right now is the time to get in cloud. And the people who are blocking you are either holding on to what they built or too afraid to shift. Eso I think a Z we've seen through waves of innovation. You always have those people you know who are gonna stop that innovation. So I was very interesting. You mentioned that would service to the next generation. Um, compute. So he had that kind of posture. Interesting point. Yeah, just very, very preachy. >>E think he's talking to a group of people who also went through the through 2020 and they might be very risk averse and not bold anymore. And so, you know, I think that may have helped address that as well. >>All right, gentlemen, great stuff. Final word in the nutshell. Kena, What do you think about it in general? Will take away. >>Yeah, I I think we saw the continued product development intensity that Amazon is going to use to try and thrash the competition? Uh, the big vision. Um, you know, the real focus on developers first? Um and I think I t and C e O's second, I think before you could say they didn't really think about them too much at all. But now it's a close second. You know, I really liked what I saw, and I think it's It's the right move. I'd like to Seymour on on hybrid cloud migration than that, even when we saw them. >>All right, leave it there. Don. Thanks for coming on from this guest analyst segment. Appreciate you jumping in Cuba. Live. Thank you. >>Thanks. Alright. >>With acute virtual. I'm your host John per day Volonte here covering A W s live covering the keynote in real time State more for more coverage after the break
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uh, 2000 and one time frame you and I'm back when, you know you were on this was Web services. have you on as an Amazon got their start saying that everyone could get whatever they want to on a P. And I quoted you in my story, uh, on Andy Jassy when I had my one on one with them So you talked to CEO, says All right, I buy in and and I have had to transform overnight because of the And here's the Here's the Here's what I want you to react Thio the I mean, you talk about all the time without post installations, you know, going on Prem. I already have to go out to the cloud So I didn't think that they did have 11 announcement I thought was compelling As you see in that open shift So you see in that hybrid zone really picking up. So is that the tell sign is the operational side. And so I think the announcement around the Dev ops guru was very significant, also saying you don't So you look at, for instance, you look at the sage maker Data Wrangler trying to simplify data workloads. I mean, if you were watching this keynote Kubernetes is the regular average i t person, which are not, you know, Google or Facebook level engineers Are I know you do a lot of research on spend customer data. What's the customer spend look like where they're gonna be spending? Uh, it's the law of large numbers Just to give you a sense Amazon I want to get your thoughts on this transition. Well, I think that's you know, we saw the evidence today that they're actually taking aim at Microsoft now. And it's just the business case isn't there to move? but having that machine learning in the vertical is the way you could different so horizontally. I like the solutions play there and some of the stuff they're doing at You got the Alexa knowledge, you know, got machine learning You know that that contact lens real time allows them a lot of supervisors to intervene There's a lot of stuff that was talked about that was, you know, follow on. And the data center just happens to be another edge point. We saw announcement after announcement around that you know, from the zones Thio the different options And that's good news for Amazon. And the people who are blocking you are either And so, you know, I think that may have helped Kena, What do you think about it in I think before you could say they didn't really think about them too much at all. Appreciate you jumping in Cuba. the keynote in real time State more for more coverage after the break
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Glyn Martin, BT Group | DevOps Virtual Forum
>>from around the globe. It's >>the Cube with digital coverage of Dev >>Ops Virtual Forum Brought to You by Broadcom. Welcome to Broadcom, Step Ups, Virtual Forum I and Lisa Martin and I'm joined by another Martin very socially. Distance from me all the way. Coming from Birmingham, England, is Glynn Martin, head of Q. A transformation at BT Glenn. It's great to have you on the program. >>Thank you, Lisa. I'm looking forward, Toa. >>As we said before, we went live to Martin's for the price of one in one segment. So this is gonna be an interesting segment, Guesses. What we're gonna do is Glen's gonna give us a really kind of deep inside out view of Dev ops. From an evolution perspective, Soglo's Let's start transformation is at the heart of what you dio. It's obviously been a very transformative year. How have the events of this year affected the transformation that you are so responsible for driving? >>Yeah. Thank you, Leigh. So I mean, yeah, it has been a difficult year Bond, although working for BT, which is ah, global telecommunications company. Relatively resilient, I suppose, as an industry through covert, it obviously still has been affected and has got its challenges on bond. If anything is actually caused us to accelerate of our transformation journey, you know, we had to do some great things during this time around. You know, in the UK for our emergency and health workers give them unlimited data and for vulnerable people to support them and that spent that we've had to deliver changes quickly. Um, but what? We want to be able to do it, deliver those kind of changes quickly, but sustainably for everything that we do, not just because there's an emergency eso we were already on the kind of journey to by John, but ever so ever more important now that we are what we're able to do, those that kind of work, do it more quickly on. But it works because the implications of it not working is could be terrible in terms of, you know, we've been supporting testing centers, new hospitals to treat covert patients, so we need to get it right and therefore the coverage of what we do, the quality of what we do and how quickly we do. It really has taken on a new scowling what was already a very competitive market within the telco industry within the UK. Um, you know, what I would say is that you know, we are under pressure to deliver more value, but we have small cost challenges. We have to obviously deal with the fact that you know, Cove in 19 has hit most industries kind of revenues and profits. So we've got this kind of paradox between having less cost, but they're having to deliver more value quicker on bond, you know, to higher quality. So, yeah, certainly the finances is on our minds. And that's why we need flexible models, cost models that allow us to kind of do growth. But we get that growth by showing that we're delivering value, especially in, you know, these times when there are financial challenges on companies. >>So one of the things that I want to ask you about again looking at, develops from the inside out on the evolution that you've seen you talked about the speed of things really accelerating in this last nine months or so. When we think Dev ops, we think speed. But one of the things I love to get your perspective on we've talked about in a number of the segments that we've done for this event is cultural change. What are some of the things that scene there as as needing to get, as you said, get things right but done so quickly to support essential businesses, essential workers? How have you seen that cultural shift? >>Yeah, I think you know, before, you know, test test team saw themselves of this part of the software delivery cycle. Andi, actually, now, really, our customers were expecting their quality and to deliver for our customers what they want. Quality has to be ingrained throughout the life cycle. Obviously that you know, there's lots of buzzwords like shift left. How do you do? Shift left testing. But for me, that's really instilling quality and given capabilities shared capabilities throughout the life cycle. That Dr you know, Dr Automation drive improvements. I always say that you know, you're only as good as your lowest common denominator on one thing that we're finding on our Dev Ops Journey Waas that we were you know, we would be trying thio do certain things quicker and had automated build automated tests. But if we were taking weeks to create test scripts or we were taking weeks to manly craft data, and even then when we had taken so long to do it that the coverage was quite poor and that led to lots of defects later in the lifecycle or even in in our production environment, we just couldn't afford to do that. And actually, you know, focusing on continuous testing over the last 9 to 12 months has really given us the ability Thio delivered quickly across the the whole life cycle and therefore actually go from doing a kind of semi agile kind of thing where we did you use the stories we did a few of the kind of, you know, as our ceremonies. But we weren't really deploying any quicker into production because, you know, our stakeholders were scared that we didn't have the same control that we had when we had more water for releases. And, you know, when way didn't think ourselves. So we've done a lot of work on every aspect, especially from a testing point of view, every aspect of every activity, rather than just looking at automated test, you know, whether it is actually creating the test in the first place, Whether it's doing security testing earlier in the light and performance testing. Learn the life cycle, etcetera. So, yeah, it Z It's been a riel key thing that for for C T for us to drive, develops, >>talk to me a little bit about your team. What are some of the shifts in terms of expectations that you're experiencing and how your team interacts with the internal folks from pipeline through life cycle? >>Yeah, we've done a lot of work on this, you know, there's a thing. I think people were pretty quiet. Customer experience. Gap. It reminds me of a cart, a Gilbert cartoon where, you know, we start with the requirements here on Do you know, we almost like a Chinese whisper effects and what we deliver eyes completely, completely different. So we think the testing team or the the delivery team, you know, you know, you think they've done a great job. This is what it said in the acceptance criteria, but then our customers the same Well, actually, that's not working. This isn't working, you know, on there's this kind of gap Way had a great launched this year of actual Requirement Society, one of the board common tools Onda that for the first time in in since I remember actually working within B. T, I had customers saying to may, Wow, you know, we want more of this. We want more projects, um, to have a actual requirements design on it because it allowed us to actually work with the business collaboratively. I mean, we talk about collaboration, but how do you actually, you know, do that have something that both the business on technical people can understand? And we've actually been working with the business using at our requirement. Designer Thio, you know, really look about what the requirements are. Tease out requirements to the hadn't even thought off and making sure that we've got high levels of test coverage. And so what we actually deliver at the end of it, not only have you been able Thio generate test more quickly, but we've got much higher test coverage and also can more smartly, you're using the kind of AI within the tour and with some of the other kind of pipeline tools actually deliver to choose the right tests on the bar, still actually doing a risk based testing approach. So that's been a great launched this year, but just the start of many kind of things that we're >>doing. But what I hear in that Glenn is a lot of positives that have come out of a very challenging situation. Uh, talk to me about it and I like that perspective. This is a very challenging time for everybody in the world, but it sounds like from a collaboration, perspective is you're right. We talk about that a lot critical with Dev Ops. But those challenges there you guys were able to overcome those pretty quickly. What other challenges did you face and figure out quickly enough to be able to pit it so fast? >>I mean, you talked about culture. I mean, you know, Bt is like most come countries companies. So, um, is very siloed. You know, we're still trying to work to become closer as a company. So I think there's a lot of challenges around. How do you integrate with other tools? How do you integrate with you know, the various different technologies and bt we have 58 different whitey stacks? That's not systems that stacks all of those stacks of can have, you know, hundreds of systems on we're trying to. We're gonna drive at the moment a simplified program where we're trying Thio, you know, reduce that number 2 14 stacks. And even then they'll be complexity behind the scenes that that we will be challenged. Maurin Mawr As we go forward, how do you actually hired that to our users on as an I T organization? How do we make ourselves Lena so that even when we you know, we've still got some of that legacy and we'll never fully get rid of it on that's the kind of trade off that we have to make. How do we actually deal with that and and hide that for my users a say and and and drive those programs so we can actually accelerate change. So we take, you know, reduce that kind of waste, and that kind of legacy costs out of our business. You know, the other thing is, well, beating. And I'm sure you know telecoms probably no difference to insurance or finance we've got You know, when you take the number of products that we do and then you combine them, the permutations are tens and hundreds of thousands of products. So we as a business to trying to simplify. We are trying Thio do that in a natural way and haven't trying to do agile in the proper way, you know, and really actually work it paste really deliver value. So I think what we're looking Maura, Maura, at the moment is actually, um is more value focus? Before we used to deliver changes, sometimes into production, someone had a great idea or it was a great idea nine months ago or 12 months ago. But actually, then we end up deploying it. And then we look at the the the users, you know, the usage of that product of that application or whatever it is on. It's not being used for six months, so we're getting much we haven't got, you know, because of the last 12 months, we certainly haven't got room for that kind of waste and you know, the for not really understanding the value of changes that we we are doing. So I think that's the most important thing at the moment is really taken that waste out. You know, there's lots of focus on things like flow management. What bits of the our process are actually taking too long, and we've We've started on that journey, but we've got a hell of a long way to go, you know, But that that involves looking every aspect off the kind of software delivery cycle. >>What are some? Because that that going from, what, 58 i t stocks down to 14 or whatever it's going to be go simplifying is sounds magical. Took everybody. It's a big challenge. What are some of the core technology capabilities that you see really as kind of essential for enabling that with this new way that you're working? >>Yeah. I mean, I think we've started on a continuous testing journey, and I think that's just the start. I mean, that's really, as I say, looking at every aspect off, you know, from a Q, a point of view. It's every aspect of what we dio. But it's also looking at, you know, we're starting to branch into more like a AI ops and, you know, really, the full life cycle on. But, you know, that's just a stepping stone onto, you know, I think oughta Nomics is the way forward, right? You know all of this kind of stuff that happens um, you know, monitoring, you know, monitoring systems, what's happening in production had to be feed that back. How do you get to a point where actually we think about a change on then suddenly it's in production safely. Or if it's not going to safety, it's automatically backing out. So, you know, it's a very, very long journey. But if we want Thio, you know, in a world where the pace is ever increasing the demands of the team and you know, with the pressures on at the moment where with we're being asked to do things, you know more efficiently Ondas leaving as possible. We need to be, you know, thinking about every part of the process. And how do we put the kind of stepping stones in players to lead us to a more automated kind of, you know, their future? >>Do you feel that that plant outcomes are starting to align with what's delivered? Given this massive shift that you're experiencing, >>I think it's starting to, and I think you know, Azzawi. Look at more of a value based approach on. Do you know a Zeiss? A princess was a kind of flight management. I think that's that will become ever evermore important. So I think it's starting to people. Certainly realized that, you know, people teams need to work together. You know, the kind of the cousin between business and ICT, especially as we go Teoh Mawr kind of sad space solutions, low cold solutions. You know there's not such a gap anymore. Actually, some of our business partners expects to be much more tech savvy. Eso I think you know, this is what we have to kind of appreciate. What is I ts role? How do we give the capabilities become more for centers of excellence rather than actually doing Mount amount of work And for May and from a testing point of view, you know, amount, amount of testing, actually, how do we automate that? How do we actually generate that instead of created? I think that's the kind of challenge going forward. >>What are some? As we look forward, what are some of the things that you would like to see implemented or deployed in the next say, 6 to 12 months as we hopefully round a corner with this pandemic? >>Yeah, I think you know, certainly for for where we are as a company from a Q A perspective. We are. Yeah, there's certain bits that we do Well, you know, we've started creating continuous delivery. A day evokes pipelines. Um, there's still manual aspects of that. So, you know, certainly for May I I've challenged my team with saying, How do we do an automated journey? So if I, you know, I put a requirement injera or value whoever it is, that's why. Then click a button on bond, you know, with either zero touch of one touch, then put that into production and have confidence that that has been done safely on that it works. And what happens if it doesn't work? So you know, that's that's the next in the next few months, that's what our concentration is about. But it's also about decision making, you know, how do we actually understand those value judgements? And I think there's lots of the things Dev ops, ai ops, kind of always that aspects of business operations. I think it's about having the information in one place to make those kind of decisions. How does it all tied together, as I say, even still with kind of Dev ops, we've still got elements within my company where we've got lots of different organizations doing some doing similar kind of things but the walking of working in silos Still. So I think, having a eye ops Aziz becomes more and more to the fore as we go to the cloud. And that's what we need to. You know, we're still very early on in our cloud journey, you know. So we need to make sure the technologies work with Cloud as well as you kind of legacy systems. But it's about bringing that all together and having a full visible pipeline. Everybody can see and make decisions against >>you said the word confidence, which jumped out at me right away. Because absolutely, you've gotta have be able to have confidence in what your team is delivering and how it's impacting the business and those customers. Last question for you is how would you advise your peers in a similar situation to leverage technology automation, for example, dev ops to be able to gain the confidence that they're making the right decisions for their business? >>Yeah, I mean, I think the the approach that we've taken actually is not started with technology we've actually taken human centered design a za core principle of what we dio within the i t part of BT. So by using humans tend to design. That means we talked to our customers. We understand their pain points, we map out their current processes on. But when we mapped out, those processes also understand their aspirations as well, you know, Where do they want to be in six months? You know, Do they want to be more agile and you know, or do they want Teoh? Is this apart their business that they want thio run better? We have to Then look at why that's not running well and then see what solutions are out there. We've been lucky that, you know, with our partnership with Broadcom within the P l. A. A lot of the tortures and the P l. A have directly answered some of the businesses problems. But I think by having those conversations and actually engaging with the business, um, you know, especially if the business hold the purse strings, which is you know, in some companies, including as they do there is that kind of, you know, almost by understanding their their pain points and then saying This is how we can solve your problem We've tended to be much more successful than trying Thio impose something and say We're here to technology that they don't quite understand doesn't really understand how it could have resonate with their problems. So I think that's the heart of it is really about, you know, getting looking at the data, looking at the processes, looking at where the kind of waste is on. Then actually then looking at the right solutions. And as I say, continuous testing is a massive for us. We've also got a good relationship with capitals looking at visual ai on. Actually, there's a common theme through that, and I mean, AI is becoming more and more prevalent, and I know yeah, sometimes what is A I and people have kind of the semantics of it. Is it true, ai or not? But yes, certainly, you know, AI and machine learning is becoming more and more prevalent in the way that we work, and it's allowing us to be much more effective, the quicker and what we do on being more accurate. You know, whether it's finding defects, running the right tests or, you know, being able to anticipate problems before they're happening in a production environment. >>Welcome. Thank you so much for giving us this sort of insight. Outlook at Dev Ops, sharing the successes that you're having taking those challenges, converting them toe opportunities and forgiving folks who might be in your shoes or maybe slightly behind advice. I'm sure they appreciate it. We appreciate your time. >>It's been an absolute pleasure, Really. Thank you for inviting me of Extremely enjoyed it. So thank you ever so much. >>Excellent. Me too. I've learned a lot for Glynn Martin and Lisa Martin. You're watching the Cube?
SUMMARY :
from around the globe. It's great to have you on the program. How have the events of this year affected the transformation that you are so We have to obviously deal with the fact that you know, What are some of the things that scene there as as needing to get, as you said, get things right but done so quickly Waas that we were you know, we would be trying thio do certain What are some of the shifts in terms of expectations So we think the testing team or the the delivery team, you know, But those challenges there you guys were able And then we look at the the the users, you know, the usage of that product of that application What are some of the core technology capabilities that you see really But if we want Thio, you know, in a world where the pace is ever increasing May and from a testing point of view, you know, amount, amount of testing, actually, how do we automate that? So you know, that's that's the next in the next few months, that's what our concentration is Last question for you is how would you advise your peers in a similar situation So I think that's the heart of it is really about, you know, getting looking at the data, Thank you so much for giving us this sort of insight. So thank you ever so much.
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DevOps Virtual Forum 2020 | Broadcom
>>From around the globe. It's the queue with digital coverage of dev ops virtual forum brought to you by Broadcom. >>Hi, Lisa Martin here covering the Broadcom dev ops virtual forum. I'm very pleased to be joined today by a cube alumni, Jeffrey Hammond, the vice president and principal analyst serving CIO is at Forester. Jeffrey. Nice to talk with you today. >>Good morning. It's good to be here. Yeah. >>So a virtual forum, great opportunity to engage with our audiences so much has changed in the last it's an understatement, right? Or it's an overstated thing, but it's an obvious, so much has changed when we think of dev ops. One of the things that we think of is speed, you know, enabling organizations to be able to better serve customers or adapt to changing markets like we're in now, speaking of the need to adapt, talk to us about what you're seeing with respect to dev ops and agile in the age of COVID, what are things looking like? >>Yeah, I think that, um, for most organizations, we're in a, uh, a period of adjustment, uh, when we initially started, it was essentially a sprint, you know, you run as hard as you can for as fast as you can for as long as you can and you just kind of power through it. And, and that's actually what, um, the folks that get hub saw in may when they ran an analysis of how developers, uh, commit times and a level of work that they were committing and how they were working, uh, in the first couple of months of COVID was, was progressing. They found that developers, at least in the Pacific time zone were actually increasing their work volume, maybe because they didn't have two hour commutes or maybe because they were stuck away in their homes, but for whatever reason, they were doing more work. >>And it's almost like, you know, if you've ever run a marathon the first mile or two in the marathon, you feel great and you just want to run and you want to power through it and you want to go hard. And if you do that by the time you get to mile 18 or 19, you're going to be gassed. It's sucking for wind. Uh, and, and that's, I think where we're starting to hit. So as we start to, um, gear our development chops out for the reality that most of us won't be returning into an office until 2021 at the earliest and many organizations will, will be fundamentally changing, uh, their remote workforce, uh, policies. We have to make sure that the agile processes that we use and the dev ops processes and tools that we use to support these teams are essentially aligned to help developers run that marathon instead of just kind of power through. >>So, um, let me give you a couple of specifics for many organizations, they have been in an environment where they will, um, tolerate Rover remote work and what I would call remote work around the edges like developers can be remote, but product managers and, um, you know, essentially scrum masters and all the administrators that are running the, uh, uh, the SCM repositories and, and the dev ops pipelines are all in the office. And it's essentially centralized work. That's not, we are anymore. We're moving from remote workers at the edge to remote workers at the center of what we do. And so one of the implications of that is that, um, we have to think about all the activities that you need to do from a dev ops perspective or from an agile perspective, they have to be remote people. One of the things I found with some of the organizations I talked to early on was there were things that administrators had to do that required them to go into the office to reboot the SCM server as an example, or to make sure that the final approvals for production, uh, were made. >>And so the code could be moved into the production environment. And so it actually was a little bit difficult because they had to get specific approval from the HR organizations to actually be allowed to go into the office in some States. And so one of the, the results of that is that while we've traditionally said, you know, tools are important, but they're not as important as culture as structure as organization as process. I think we have to rethink that a little bit because to the extent that tools enable us to be more digitally organized and to hiring, you know, achieve higher levels of digitization in our processes and be able to support the idea of remote workers in the center. They're now on an equal footing with so many of the other levers, uh, that, that, um, uh, that organizations have at their disposal. Um, I'll give you another example for years. >>We've said that the key to success with agile at the team level is cross-functional co located teams that are working together physically co located. It's the easiest way to show agile success. We can't do that anymore. We can't be physically located at least for the foreseeable future. So, you know, how do you take the low hanging fruits of an agile transformation and apply it in, in, in, in the time of COVID? Well, I think what you have to do is that you have to look at what physical co-location has enabled in the past and understand that it's not so much the fact that we're together looking at each other across the table. It's the fact that we're able to get into a shared mindspace, uh, from, um, uh, from a measurement perspective, we can have shared purpose. We can engage in high bandwidth communications. It's the spiritual aspect of that physical co-location that is actually important. So one of the biggest things that organizations need to start to ask themselves is how do we achieve spiritual colocation with our agile teams? Because we don't have the, the ease of physical co-location available to us anymore? >>Well, the spiritual co-location is such an interesting kind of provocative phrase there, but something that probably was a challenge here, we are seven, eight months in for many organizations, as you say, going from, you know, physical workspaces, co-location being able to collaborate face to face to a, a light switch flip overnight. And this undefined period of time where all we were living with with was uncertainty, how does spiritual, what do you, when you talk about spiritual co-location in terms of collaboration and processes and technology help us unpack that, and how are you seeing organizations adopted? >>Yeah, it's, it's, um, it's a great question. And, and I think it goes to the very root of how organizations are trying to transform themselves to be more agile and to embrace dev ops. Um, if you go all the way back to the, to the original, uh, agile manifesto, you know, there were four principles that were espoused individuals and interactions over processes and tools. That's still important. Individuals and interactions are at the core of software development, processes and tools that support those individual and interact. Uh, those individuals in those interactions are more important than ever working software over comprehensive documentation. Working software is still more important, but when you are trying to onboard employees and they can't come into the office and they can't do the two day training session and kind of understand how things work and they can't just holler over the cube, uh, to ask a question, you may need to invest a little bit more in documentation to help that onboarding process be successful in a remote context, uh, customer collaboration over contract negotiation. >>Absolutely still important, but employee collaboration is equally as important if you want to be spiritually, spiritually co-located. And if you want to have a shared purpose and then, um, responding to change over following a plan. I think one of the things that's happened in a lot of organizations is we have focused so much of our dev ops effort around velocity getting faster. We need to run as fast as we can like that sprinter. Okay. You know, trying to just power through it as quickly as possible. But as we shift to, to the, to the marathon way of thinking, um, velocity is still important, but agility becomes even more important. So when you have to create an application in three weeks to do track and trace for your employees, agility is more important. Um, and then just flat out velocity. Um, and so changing some of the ways that we think about dev ops practices, um, is, is important to make sure that that agility is there for one thing, you have to defer decisions as far down the chain to the team level as possible. >>So those teams have to be empowered to make decisions because you can't have a program level meeting of six or seven teams and one large hall and say, here's the lay of the land. Here's what we're going to do here are our processes. And here are our guardrails. Those teams have to make decisions much more quickly that developers are actually developing code in smaller chunks of flow. They have to be able to take two hours here or 50 minutes there and do something useful. And so the tools that support us have to become tolerant of the reality of, of, of, of how we're working. So if they work in a way that it allows the team together to take as much autonomy as they can handle, um, to, uh, allow them to communicate in a way that, that, that delivers shared purpose and allows them to adapt and master new technologies, then they're in the zone in their spiritual, they'll get spiritually connected. I hope that makes sense. >>It does. I think we all could use some of that, but, you know, you talked about in the beginning and I've, I've talked to numerous companies during the pandemic on the cube about the productivity, or rather the number of hours of work has gone way up for many roles, you know, and, and, and times that they normally late at night on the weekends. So, but it's a cultural, it's a mind shift to your point about dev ops focused on velocity, sprints, sprints, sprints, and now we have to, so that cultural shift is not an easy one for developers. And even at this folks to flip so quickly, what have you seen in terms of the velocity at which businesses are able to get more of that balance between the velocity, the sprint and the agility? >>I think, I think at the core, this really comes down to management sensitivity. Um, when everybody was in the office, you could kind of see the mental health of development teams by, by watching how they work. You know, you call it management by walking around, right. We can't do that. Managers have to, um, to, to be more aware of what their teams are doing, because they're not going to see that, that developer doing a check-in at 9:00 PM on a Friday, uh, because that's what they had to do, uh, to meet the objectives. And, um, and, and they're going to have to, to, um, to find new ways to measure engagement and also potential burnout. Um, friend of mine once had, uh, had a great metric that he called the parking lot metric. It was helpful as the parking lot at nine. And how full was it at five? >>And that gives you an indication of how engaged your developers are. Um, what's the digital equivalent equivalent to the parking lot metric in the time of COVID it's commit stats, it's commit rates. It's, um, you know, the, uh, the turn rate, uh, that we have in our code. So we have this information, we may not be collecting it, but then the next question becomes, how do we use that information? Do we use that information to say, well, this team isn't delivering as at the same level of productivity as another team, do we weaponize that data or do we use that data to identify impedances in the process? Um, why isn't a team working effectively? Is it because they have higher levels of family obligations and they've got kids that, that are at home? Um, is it because they're working with, um, you know, hardware technology, and guess what, they, it's not easy to get the hardware technology into their home office because it's in the lab at the, uh, at the corporate office, uh, or they're trying to communicate, uh, you know, halfway around the world. >>And, uh, they're communicating with a, with an office lab that is also shut down and, and, and the bandwidth just doesn't enable the, the level of high bandwidth communications. So from a dev ops perspective, managers have to get much more sensitive to the, the exhaust that the dev ops tools are throwing off, but also how they're going to use that in a constructive way to, to prevent burnout. And then they also need to, if they're not already managing or monitoring or measuring the level of developer engagement, they have, they really need to start whether that's surveys around developer satisfaction, um, whether it's, you know, more regular social events, uh, where developers can kind of just get together and drink a beer and talk about what's going on in the project, uh, and monitoring who checks in and who doesn't, uh, they have to, to, um, work harder, I think, than they ever have before. >>Well, and you mentioned burnout, and that's something that I think we've all faced in this time at varying levels and it changes. And it's a real, there's a tension in the air, regardless of where you are. There's a challenge, as you mentioned, people having, you know, coworker, their kids as coworkers and fighting for bandwidth, because everyone is forced in this situation. I'd love to get your perspective on some businesses that are, that have done this well, this adaptation, what can you share in terms of some real-world examples that might inspire the audience? >>Yeah. Uh, I'll start with, uh, stack overflow. Uh, they recently published a piece in the journal of the ACM around some of the things that they had discovered. Um, you know, first of all, just a cultural philosophy. If one person is remote, everybody is remote. And you just think that way from an executive level, um, social spaces. One of the things that they talk about doing is leaving a video conference room open at a team level all day long, and the team members, you know, we'll go on mute, you know, so that they don't have to, that they don't necessarily have to be there with somebody else listening to them. But if they have a question, they can just pop off mute really quickly and ask the question. And if anybody else knows the answer, it's kind of like being in that virtual pod. Uh, if you, uh, if you will, um, even here at Forrester, one of the things that we've done is we've invested in social ceremonies. >>We've actually moved our to our team meetings on, on my analyst team from, from once every two weeks to weekly. And we have built more time in for social Ajay socialization, just so we can see, uh, how, how, how we're doing. Um, I think Microsoft has really made some good, uh, information available in how they've managed things like the onboarding process. I think I'm Amanda silver over there mentioned that a couple of weeks ago when, uh, uh, a presentation they did that, uh, uh, Microsoft onboarded over 150,000 people since the start of COVID, if you don't have good remote onboarding processes, that's going to be a disaster. Now they're not all developers, but if you think about it, um, everything from how you do the interviewing process, uh, to how you get people, their badges, to how they get their equipment. Um, security is a, is another issue that they called out typically, uh, it security, um, the security of, of developers machines ends at, at, at the corporate desktop. >>But, you know, since we're increasingly using our own machines, our own hardware, um, security organizations kind of have to extend their security policies to cover, uh, employee devices, and that's caused them to scramble a little bit. Uh, so, so the examples are out there. It's not a lot of, like, we have to do everything completely differently, but it's a lot of subtle changes that, that have to be made. Um, I'll give you another example. Um, one of the things that, that we are seeing is that, um, more and more organizations to deal with the challenges around agility, with respect to delivering software, embracing low-code tools. In fact, uh, we see about 50% of firms are using low-code tools right now. We predict it's going to be 75% by the end of next year. So figuring out how your dev ops processes support an organization that might be using Mendix or OutSystems, or, you know, the power platform building the front end of an application, like a track and trace application really, really quickly, but then hooking it up to your backend infrastructure. Does that happen completely outside the dev ops investments that you're making and the agile processes that you're making, or do you adapt your organization? Um, our hybrid teams now teams that not just have professional developers, but also have business users that are doing some development with a low-code tool. Those are the kinds of things that we have to be, um, willing to, um, to entertain in order to shift the focus a little bit more toward the agility side, I think >>Lot of obstacles, but also a lot of opportunities for businesses to really learn, pay attention here, pivot and grow, and hopefully some good opportunities for the developers and the business folks to just get better at what they're doing and learning to embrace spiritual co-location Jeffrey, thank you so much for joining us on the program today. Very insightful conversation. >>My pleasure. It's it's, it's an important thing. Just remember if you're going to run that marathon, break it into 26, 10 minute runs, take a walk break in between each and you'll find that you'll get there. >>Digestible components, wise advice. Jeffery Hammond. Thank you so much for joining for Jeffrey I'm Lisa Martin, you're watching Broadcom's dev ops virtual forum >>From around the globe. It's the queue with digital coverage of dev ops virtual forum brought to you by Broadcom, >>Continuing our conversations here at Broadcom's dev ops virtual forum. Lisa Martin here, please. To welcome back to the program, Serge Lucio, the general manager of the enterprise software division at Broadcom. Hey, Serge. Welcome. Thank you. Good to be here. So I know you were just, uh, participating with the biz ops manifesto that just happened recently. I just had the chance to talk with Jeffrey Hammond and he unlocked this really interesting concept, but I wanted to get your thoughts on spiritual co-location as really a necessity for biz ops to succeed in this unusual time in which we're living. What are your thoughts on spiritual colocation in terms of cultural change versus adoption of technologies? >>Yeah, it's a, it's, it's quite interesting, right? When we, when we think about the major impediments for, uh, for dev ops implementation, it's all about culture, right? And swore over the last 20 years, we've been talking about silos. We'd be talking about the paradox for these teams to when it went to align in many ways, it's not so much about these teams aligning, but about being in the same car in the same books, right? It's really about fusing those teams around kind of the common purpose, a common objective. So to me, the, this, this is really about kind of changing this culture where people start to look at a kind of OKR is instead of the key objective, um, that, that drives the entire team. Now, what it means in practice is really that's, uh, we need to change a lot of behaviors, right? It's not about the Yarki, it's not about roles. It's about, you know, who can do what and when, and, uh, you know, driving a bias towards action. It also means that we need, I mean, especially in this school times, it becomes very difficult, right? To drive kind of a kind of collaboration between these teams. And so I think there there's a significant role that especially tools can play in terms of providing this complex feedback from teams to, uh, to be in that preface spiritual qualification. >>Well, and it talked about culture being, it's something that, you know, we're so used to talking about dev ops with respect to velocity, all about speed here. But of course this time everything changed so quickly, but going from the physical spaces to everybody being remote really does take it. It's very different than you can't replicate it digitally, but there are collaboration tools that can kind of really be essential to help that cultural shift. Right? >>Yeah. So 2020, we, we touch to talk about collaboration in a very mundane way. Like, of course we can use zoom. We can all get into, into the same room. But the point when I think when Jeff says spiritual, co-location, it's really about, we all share the same objective. Do we, do we have a niece who, for instance, our pipeline, right? When you talk about dev ops, probably we all started thinking about this continuous delivery pipeline that basically drives the automation, the orchestration across the team, but just thinking about a pipeline, right, at the end of the day, it's all about what is the meantime to beat back to these teams. If I'm a developer and a commit code, I don't, does it take where, you know, that code to be processed through pipeline pushy? Can I get feedback if I am a finance person who is funding a product or a project, what is my meantime to beat back? >>And so a lot of, kind of a, when we think about the pipeline, I think what's been really inspiring to me in the last year or so is that there is much more of an adoption of the Dora metrics. There is way more of a focus around value stream management. And to me, this is really when we talk about collaboration, it's really a balance. How do you provide the feedback to the different stakeholders across the life cycle in a very timely matter? And that's what we would need to get to in terms of kind of this, this notion of collaboration. It's not so much about people being in the same physical space. It's about, you know, when I checked in code, you know, to do I guess the system to automatically identify what I'm going to break. If I'm about to release some allegation, how can the system help me reduce my change pillar rates? Because it's, it's able to predict that some issue was introduced in the outpatient or work product. Um, so I think there's, there's a great role of technology and AI candidate Lynch to, to actually provide that new level of collaboration. >>So we'll get to AI in a second, but I'm curious, what are some of the, of the metrics you think that really matter right now is organizations are still in some form of transformation to this new almost 100% remote workforce. >>So I'll just say first, I'm not a big fan of metrics. Um, and the reason being that, you know, you can look at a change killer rate, right, or a lead time or cycle time. And those are, those are interesting metrics, right? The trend on metric is absolutely critical, but what's more important is you get to the root cause what is taught to you lean to that metric to degrade or improve or time. And so I'm much more interested and we, you know, fruit for Broadcom. Are we more interested in understanding what are the patterns that contribute to this? So I'll give you a very mundane example. You know, we know that cycle time is heavily influenced by, um, organizational boundaries. So, you know, we talk a lot about silos, but, uh, we we've worked with many of our customers doing value stream mapping. And oftentimes what you see is that really the boundaries of your organization creates a lot of idle time, right? So to me, it's less about the metrics. I think the door metrics are a pretty, you know, valid set metrics, but what's way more important is to understand what are the antiperspirants, what are the things that we can detect through the data that actually are affecting those metrics. And, uh, I mean, over the last 10, 20 years, we've learned a lot about kind of what are, what are the antiperspirants within our large enterprise customers. And there are plenty of them. >>What are some of the things that you're seeing now with respect to patterns that have developed over the last seven to eight months? >>So I think the two areas which clearly are evolving very quickly are on kind of the front end of the life cycle, where DevOps is more and more embracing value stream management value stream mapping. Um, and I think what's interesting is that in many ways the product is becoming the new silo. Uh, the notion of a product is very difficult by itself to actually define people are starting to recognize that a value stream is not its own little kind of Island. That in reality, when I define a product, this product, oftentimes as dependencies on our products and that in fact, you're looking at kind of a network of value streams, if you will. So, so even on that, and there is clearly kind of a new sets, if you will, of anti-patterns where products are being defined as a set of OTRs, they have interdependencies and you have have a new set of silos on the operands, uh, the Abra key movement to Israel and the SRE space where, um, I think there is a cultural clash while the dev ops side is very much embracing this notion of OTRs and value stream mapping and Belgium management. >>On the other end, you have the it operations teams. We still think business services, right? For them, they think about configure items, think about infrastructure. And so, you know, it's not uncommon to see, you know, teams where, you know, the operations team is still thinking about hundreds of thousands, tens of thousands of business services. And so the, the, there is there's this boundary where, um, I think, well, SRE is being put in place. And there's lots of thinking about what kind of metrics can be fined. I think, you know, going back to culture, I think there's a lot of cultural evolution that's still required for true operations team. >>And that's a hard thing. Cultural transformation in any industry pandemic or not is a challenging thing. You talked about, uh, AI and automation of minutes ago. How do you think those technologies can be leveraged by DevOps leaders to influence their successes and their ability to collaborate, maybe see eye to eye with the SRS? >>Yeah. Um, so th you're kind of too. So even for myself, as a leader of a, you know, 1500 people organization, there's a number of things I don't see right. On a daily basis. And, um, I think the, the, the, the technologies that we have at our disposal today from the AI are able to mind a lot of data and expose a lot of, uh, issues that's as leaders we may not be aware of. And some of the, some of these are pretty kind of easy to understand, right? We all think we're agile. And yet when you, when you start to understand, for instance, uh, what is the, what is the working progress right to during the sprint? Um, when you start to analyze the data you can detect, for instance, that maybe the teams are over committed, that there is too much work in progress. >>You can start to identify kind of, interdepencies either from a technology, from a people point of view, which were hidden, uh, you can start to understand maybe the change filler rates he's he is dragging. So I believe that there is a, there's a fundamental role to be played by the tools to, to expose again, these anti parents, to, to make these things visible to the teams, to be able to even compare teams. Right. One of the things that's, that's, uh, that's amazing is now we have access to tons of data, not just from a given customer, but across a large number of customers. And so we start to compare all of these teams kind of operate, and what's working, what's not working >>Thoughts on AI and automation as, as a facilitator of spiritual co-location. >>Yeah, absolutely. Absolutely. It's um, you know, th there's, uh, the problem we all face is the unknown, right? The, the law city, but volume variety of the data, uh, everyday we don't really necessarily completely appreciate what is the impact of our actions, right? And so, um, AI can really act as a safety net that enables us to, to understand what is the impact of our actions. Um, and so, yeah, in many ways, the ability to be informed in a timely matter to be able to interact with people on the basis of data, um, and collaborate on the data. And the actual matter, I think is, is a, is a very powerful enabler, uh, on, in that respect. I mean, I, I've seen, um, I've seen countless of times that, uh, for instance, at the SRE boundary, um, to basically show that we'll turn the quality attributes, so an incoming release, right. And exposing that to, uh, an operations person and a sorry person, and enabling that collaboration dialogue through data is a very, very powerful tool. >>Do you have any recommendations for how teams can use, you know, the SRE folks, the dev ops says can use AI and automation in the right ways to be successful rather than some ways that aren't going to be nonproductive. >>Yeah. So to me, the th there, there's a part of the question really is when, when we talk about data, there are there different ways you can use data, right? Um, so you can, you can do a lot of an analytics, predictive analytics. So I think there is a, there's a tendency, uh, to look at, let's say a, um, a specific KPI, like a, an availability KPI, or change filler rate, and to basically do a regression analysis and projecting all these things, going to happen in the future. To me, that that's, that's a, that's a bad approach. The reason why I fundamentally think it's a better approach is because we are systems. The way we develop software is, is a, is a non-leader kind of system, right? Software development is not linear nature. And so I think there's a D this is probably the worst approach is to actually focus on metrics on the other end. >>Um, if you, if you start to actually understand at a more granular level, what har, uh, which are the things which are contributing to this, right? So if you start to understand, for instance, that whenever maybe, you know, you affect a specific part of the application that translates into production issues. So we, we have, I've actually, uh, a customer who, uh, identified that, uh, over 50% of their unplanned outages were related to specific components in your architecture. And whenever these components were changed, this resulted in these plant outages. So if you start to be able to basically establish causality, right, cause an effect between kind of data across the last cycle. I think, I think this is the right way to, uh, to, to use AI. And so pharma to be, I think it's way more God could have a classification problem. What are the classes of problems that do exist and affect things as opposed to analytics, predictive, which I don't think is as powerful. >>So I mentioned in the beginning of our conversation, that just came off the biz ops manifesto. You're one of the authors of that. I want to get your thoughts on dev ops and biz ops overlapping, complimenting each other, what, from a, the biz ops perspective, what does it mean to the future of dev ops? >>Yeah, so, so it's interesting, right? If you think about DevOps, um, there's no felony document, right? Can we, we can refer to the Phoenix project. I mean, there are a set of documents which have been written, but in many ways, there's no clear definition of what dev ops is. Uh, if you go to the dev ops Institute today, you'll see that they are specific, um, trainings for instance, on value management on SRE. And so in many ways, the problem we have as an industry is that, um, there are set practices between agile dev ops, SRE Valley should management. I told, right. And we all basically talk about the same things, right. We all talk about essentially, um, accelerating in the meantime fee to feedback, but yet we don't have the common framework to talk about that. The other key thing is that we add to wait, uh, for, uh, for jeans, Jean Kim's Lascaux, um, to, uh, to really start to get into the business aspect, right? >>And for value stream mapping to start to emerge for us to start as an industry, right. It, to start to think about what is our connection with the business aspect, what's our purpose, right? And ultimately it's all about driving these business outcomes. And so to me, these ops is really about kind of, uh, putting a lens on this critical element that it's not business and it, that we in fact need to fuse business 19 that I need needs to transform itself to recognize that it's, it's this value generator, right. It's not a cost center. And so the relationship to me, it's more than BizOps provides kind of this Oliver or kind of framework, if you will. That set the context for what is the reason, uh, for it to exist. What's part of the core values and principles that it needs to embrace to, again, change from a cost center to a value center. And then we need to start to use this as a way to start to unify some of the, again, the core practices, whether it's agile, DevOps value, stream mapping SRE. Um, so, so I think over time, my hope is that we start to optimize a lot of our practices, language, um, and, uh, and cultural elements. >>Last question surgeon, the last few seconds we have here talking about this, the relation between biz ops and dev ops, um, what do you think as DevOps evolves? And as you talked to circle some of your insights, what should our audience keep their eyes on in the next six to 12 months? >>So to me, the key, the key, um, challenge for, for the industry is really around. So we were seeing a very rapid shift towards kind of, uh, product to product, right. Which we don't want to do is to recreate kind of these new silos, these hard silos. Um, so that, that's one of the big changes, uh, that I think we need to be, uh, to be really careful about, um, because it is ultimately, it is about culture. It's not about, uh, it's not about, um, kind of how we segment the work, right. And, uh, any true culture that we can overcome kind of silos. So back to, I guess, with Jeffrey's concept of, um, kind of the spiritual co-location, I think it's, it's really about that too. It's really about kind of, uh, uh, focusing on the business outcomes on kind of aligning on driving engagement across the teams, but, but not for create a, kind of a new set of silos, which instead of being vertical are going to be these horizontal products >>Crazy by surge that looking at culture as kind of a way of really, uh, uh, addressing and helping to, uh, re re reduce, replace challenges. We thank you so much for sharing your insights and your time at today's DevOps virtual forum. >>Thank you. Thanks for your time. >>I'll be right back >>From around the globe it's the cube with digital coverage of devops virtual forum brought to you by Broadcom. >>Welcome to Broadcom's DevOps virtual forum, I'm Lisa Martin, and I'm joined by another Martin, very socially distanced from me all the way coming from Birmingham, England is Glynn Martin, the head of QA transformation at BT. Glynn, it's great to have you on the program. Thank you, Lisa. I'm looking forward to it. As we said before, we went live to Martins for the person one in one segment. So this is going to be an interesting segment guys, what we're going to do is Glynn's going to give us a really kind of deep inside out view of devops from an evolution perspective. So Glynn, let's start. Transformation is at the heart of what you do. It's obviously been a very transformative year. How have the events of this year affected the >> transformation that you are still responsible for driving? Yeah. Thank you, Lisa. I mean, yeah, it has been a difficult year. >>Um, and although working for BT, which is a global telecommunications company, um, I'm relatively resilient, I suppose, as a, an industry, um, through COVID obviously still has been affected and has got its challenges. And if anything, it's actually caused us to accelerate our transformation journey. Um, you know, we had to do some great things during this time around, um, you know, in the UK for our emergency and, um, health workers give them unlimited data and for vulnerable people to support them. And that's spent that we've had to deliver changes quickly. Um, but what we want to be able to do is deliver those kinds of changes quickly, but sustainably for everything that we do, not just because there's an emergency. Um, so we were already on the kind of journey to agile, but ever more important now that we are, we are able to do those, that kind of work, do it more quickly. >>Um, and that it works because the, the implications of it not working is, can be terrible in terms of you know, we've been supporting testing centers,  new hospitals to treat COVID patients. So we need to get it right. And then therefore the coverage of what we do, the quality of what we do and how quickly we do it really has taken on a new scale and what was already a very competitive market within the telco industry within the UK. Um, you know, what I would say is that, you know, we are under pressure to deliver more value, but we have small cost challenges. We have to obviously, um, deal with the fact that, you know, COVID 19 has hit most industries kind of revenues and profits. So we've got this kind of paradox between having less costs, but having to deliver more value quicker and  to higher quality. So yeah, certainly the finances is, um, on our minds and that's why we need flexible models, cost models that allow us to kind of do growth, but we get that growth by showing that we're delivering value. Um, especially in these times when there are financial challenges on companies. So one of the things that I want to ask you about, I'm again, looking at DevOps from the inside >>Out and the evolution that you've seen, you talked about the speed of things really accelerating in this last nine months or so. When we think dev ops, we think speed. But one of the things I'd love to get your perspective on is we've talked about in a number of the segments that we've done for this event is cultural change. What are some of the things that you've seen there as, as needing to get, as you said, get things right, but done so quickly to support essential businesses, essential workers. How have you seen that cultural shift? >>Yeah, I think, you know, before test teams for themselves at this part of the software delivery cycle, um, and actually now really our customers are expecting that quality and to deliver for our customers what they want, quality has to be ingrained throughout the life cycle. Obviously, you know, there's lots of buzzwords like shift left. Um, how do we do shift left testing? Um, but for me, that's really instilling quality and given capabilities shared capabilities throughout the life cycle that drive automation, drive improvements. I always say that, you know, you're only as good as your lowest common denominator. And one thing that we were finding on our dev ops journey was that we  would be trying to do certain things quick, we had automated build, automated tests. But if we were taking a weeks to create test scripts, or we were taking weeks to manually craft data, and even then when we had taken so long to do it, that the coverage was quite poor and that led to lots of defects later on in the life cycle, or even in our production environment, we just couldn't afford to do that. >>And actually, focusing on continuous testing over the last nine to 12 months has really given us the ability to deliver quickly across the whole life cycle. And therefore actually go from doing a kind of semi agile kind of thing, where we did the user stories, we did a few of the kind of agile ceremonies, but we weren't really deploying any quicker into production because our stakeholders were scared that we didn't have the same control that we had when we had more waterfall releases. And, you know, when we didn't think of ourselves. So we've done a lot of work on every aspect, um, especially from a testing point of view, every aspect of every activity, rather than just looking at automated tests, you know, whether it is actually creating the test in the first place, whether it's doing security testing earlier in the lot and performance testing in the life cycle, et cetera. So, yeah, it's been a real key thing that for CT, for us to drive DevOps, >>Talk to me a little bit about your team. What are some of the shifts in terms of expectations that you're experiencing and how your team interacts with the internal folks from pipeline through life cycle? >>Yeah, we've done a lot of work on this. Um, you know, there's a thing that I think people will probably call it a customer experience gap, and it reminds me of a Gilbert cartoon, where we start with the requirements here and you're almost like a Chinese whisper effects and what we deliver is completely different. So we think the testing team or the delivery teams, um, know in our teeth has done a great job. This is what it said in the acceptance criteria, but then our customers are saying, well, actually that's not working this isn't working and there's this kind of gap. Um, we had a great launch this year of agile requirements, it's one of the Broadcom tools. And that was the first time in, ever since I remember actually working within BT, I had customers saying to me, wow, you know, we want more of this. >>We want more projects to have extra requirements design on it because it allowed us to actually work with the business collaboratively. I mean, we talk about collaboration, but how do we actually, you know, do that and have something that both the business and technical people can understand. And we've actually been working with the business , using agile requirements designer to really look at what the requirements are, tease out requirements we hadn't even thought of and making sure that we've got high levels of test coverage. And what we actually deliver at the end of it, not only have we been able to generate tests more quickly, but we've got much higher test coverage and also can more smartly, using the kind of AI within the tool and then some of the other kinds of pipeline tools, actually deliver to choose the right tasks, and actually doing a risk based testing approach. So that's been a great launch this year, but just the start of many kinds of things that we're doing >>Well, what I hear in that, Glynn is a lot of positives that have come out of a very challenging situation. Talk to me about it. And I liked that perspective. This is a very challenging time for everybody in the world, but it sounds like from a collaboration perspective you're right, we talk about that a lot critical with devops. But those challenges there, you guys were able to overcome those pretty quickly. What other challenges did you face and figure out quickly enough to be able to pivot so fast? >>I mean, you talked about culture. You know, BT is like most companies  So it's very siloed. You know we're still trying to work to become closer as a company. So I think there's a lot of challenges around how would you integrate with other tools? How would you integrate with the various different technologies. And BT, we have 58 different IT stacks. That's not systems, that's stacks, all of those stacks can have hundreds of systems. And we're trying to, we've got a drive at the moment, a simplified program where we're trying to you know, reduce that number to 14 stacks. And even then there'll be complexity behind the scenes that we will be challenged more and more as we go forward. How do we actually highlight that to our users? And as an it organization, how do we make ourselves leaner, so that even when we've still got some of that legacy, and we'll never fully get rid of it and that's the kind of trade off that we have to make, how do we actually deal with that and hide that from our users and drive those programs, so we can, as I say, accelerate change,  reduce that kind of waste and that kind of legacy costs out of our business. You know, the other thing as well, I'm sure telecoms is probably no different to insurance or finance. When you take the number of products that we do, and then you combine them, the permutations are tens and hundreds of thousands of products. So we, as a business are trying to simplify, we are trying to do that in an agile way. >>And haven't tried to do agile in the proper way and really actually work at pace, really deliver value. So I think what we're looking more and more at the moment is actually  more value focused. Before we used to deliver changes sometimes into production. Someone had a great idea, or it was a great idea nine months ago or 12 months ago, but actually then we ended up deploying it and then we'd look at the users, the usage of that product or that application or whatever it is, and it's not being used for six months. So we haven't got, you know, the cost of the last 12 months. We certainly haven't gotten room for that kind of waste and, you know, for not really understanding the value of changes that we are doing. So I think that's the most important thing of the moment, it's really taking that waste out. You know, there's lots of focus on things like flow management, what bits of our process are actually taking too long. And we've started on that journey, but we've got a hell of a long way to go. But that involves looking at every aspect of the software delivery cycle. >> Going from, what 58 IT stacks down to 14 or whatever it's going to be, simplifying sounds magical to everybody. It's a big challenge. What are some of the core technology capabilities that you see really as kind of essential for enabling that with this new way that you're working? >>Yeah. I mean, I think we were started on a continuous testing journey, and I think that's just the start. I mean as I say, looking at every aspect of, you know, from a QA point of view is every aspect of what we do. And it's also looking at, you know, we've started to branch into more like AI, uh, AI ops and, you know, really the full life cycle. Um, and you know, that's just a stepping stone to, you know, I think autonomics is the way forward, right. You know, all of this kind of stuff that happens, um, you know, monitoring, uh, you know, watching the systems what's happening in production, how do we feed that back? How'd you get to a point where actually we think about change and then suddenly it's in production safely, or if it's not going to safety, it's automatically backing out. So, you know, it's a very, very long journey, but if we want to, you know, in a world where the pace is in ever-increasing and the demands for the team, and, you know, with the pressures on, at the moment where we're being asked to do things, uh, you know, more efficiently and as lean as possible, we need to be thinking about every part of the process and how we put the kind of stepping stones in place to lead us to a more automated kind of, um, you know, um, the future. >>Do you feel that that planned outcomes are starting to align with what's delivered, given this massive shift that you're experiencing? >>I think it's starting to, and I think, you know, as I say, as we look at more of a value based approach, um, and, um, you know, as I say, print, this was a kind of flow management. I think that that will become ever, uh, ever more important. So, um, I think it starting to people certainly realize that, you know, teams need to work together, you know, the kind of the cousin between business and it, especially as we go to more kind of SAS based solutions, low code solutions, you know, there's not such a gap anymore, actually, some of our business partners that expense to be much more tech savvy. Um, so I think, you know, this is what we have to kind of appreciate what is its role, how do we give the capabilities, um, become more of a centers of excellence rather than actually doing mounds amounts of work. And for me, and from a testing point of view, you know, mounds and mounds of testing, actually, how do we automate that? How do we actually generate that instead of, um, create it? I think that's the kind of challenge going forward. >>What are some, as we look forward, what are some of the things that you would like to see implemented or deployed in the next, say six to 12 months as we hopefully round a corner with this pandemic? >>Yeah, I think, um, you know, certainly for, for where we are as a company from a QA perspective, we are, um, you let's start in bits that we do well, you know, we've started creating, um, continuous delivery and DevOps pipelines. Um, there's still manual aspects of that. So, you know, certainly for me, I I've challenged my team with saying how do we do an automated journey? So if I put a requirement in JIRA or rally or wherever it is and why then click a button and, you know, with either zero touch for one such, then put that into production and have confidence that, that has been done safely and that it works and what happens if it doesn't work. So, you know, that's, that's the next, um, the next few months, that's what our concentration, um, is, is about. But it's also about decision-making, you know, how do you actually understand those value judgments? >>And I think there's lots of the things dev ops, AI ops, kind of that always ask aspects of business operations. I think it's about having the information in one place to make those kinds of decisions. How does it all try and tie it together? As I say, even still with kind of dev ops, we've still got elements within my company where we've got lots of different organizations doing some, doing similar kinds of things, but they're all kind of working in silos. So I think having AI ops as it comes more and more to the fore as we go to cloud, and that's what we need to, you know, we're still very early on in our cloud journey, you know, so we need to make sure the technologies work with cloud as well as you can have, um, legacy systems, but it's about bringing that all together and having a full, visible pipeline, um, that everybody can see and make decisions. >>You said the word confidence, which jumped out at me right away, because absolutely you've got to have be able to have confidence in what your team is delivering and how it's impacting the business and those customers. Last question then for you is how would you advise your peers in a similar situation to leverage technology automation, for example, dev ops, to be able to gain the confidence that they're making the right decisions for their business? >>I think the, the, the, the, the approach that we've taken actually is not started with technology. Um, we've actually taken a human centered design, uh, as a core principle of what we do, um, within the it part of BT. So by using human centered design, that means we talk to our customers, we understand their pain points, we map out their current processes. Um, and then when we mapped out what this process does, it also understand their aspirations as well, you know? Um, and where do they want to be in six months? You know, do they want it to be, um, more agile and, you know, or do they want to, you know, is, is this a part of their business that they want to do one better? We actually then looked at why that's not running well, and then see what, what solutions are out there. >>We've been lucky that, you know, with our partnership, with Broadcom within the payer line, lots of the tools and the PLA have directly answered some of the business's problems. But I think by having those conversations and actually engaging with the business, um, you know, especially if the business hold the purse strings, which in, in, uh, you know, in some companies include not as they do there is that kind of, you know, almost by understanding their, their pain points and then starting, this is how we can solve your problem. Um, is we've, we've tended to be much more successful than trying to impose something and say, well, here's the technology that they don't quite understand. It doesn't really understand how it kind of resonates with their problems. So I think that's the heart of it. It's really about, you know, getting, looking at the data, looking at the processes, looking at where the kind of waste is. >>And then actually then looking at the right solutions. Then, as I say, continuous testing is massive for us. We've also got a good relationship with Apple towards looking at visual AI. And actually there's a common theme through that. And I mean, AI is becoming more and more prevalent. And I know, you know, sometimes what is AI and people have kind of this semantics of, is it true AI or not, but it's certainly, you know, AI machine learning is becoming more and more prevalent in the way that we work. And it's allowing us to be much more effective, be quicker in what we do and be more accurate. And, you know, whether it's finding defects running the right tests or, um, you know, being able to anticipate problems before they're happening in a production environment. >>Well, thank you so much for giving us this sort of insight outlook at dev ops sharing the successes that you're having, taking those challenges, converting them to opportunities and forgiving folks who might be in your shoes, or maybe slightly behind advice enter. They appreciate it. We appreciate your time. >>Well, it's been an absolute pleasure, really. Thank you for inviting me. I have a extremely enjoyed it. So thank you ever so much. >>Excellent. Me too. I've learned a lot for Glenn Martin. I'm Lisa Martin. You're watching the cube >>Driving revenue today means getting better, more valuable software features into the hands of your customers. If you don't do it quickly, your competitors as well, but going faster without quality creates risks that can damage your brand destroy customer loyalty and cost millions to fix dev ops from Broadcom is a complete solution for balancing speed and risk, allowing you to accelerate the flow of value while minimizing the risk and severity of critical issues with Broadcom quality becomes integrated across the entire DevOps pipeline from planning to production, actionable insights, including our unique readiness score, provide a three 60 degree view of software quality giving you visibility into potential issues before they become disasters. Dev ops leaders can manage these risks with tools like Canary deployments tested on a small subset of users, or immediately roll back to limit the impact of defects for subsequent cycles. Dev ops from Broadcom makes innovation improvement easier with integrated planning and continuous testing tools that accelerate the flow of value product requirements are used to automatically generate tests to ensure complete quality coverage and tests are easily updated. >>As requirements change developers can perform unit testing without ever leaving their preferred environment, improving efficiency and productivity for the ultimate in shift left testing the platform also integrates virtual services and test data on demand. Eliminating two common roadblocks to fast and complete continuous testing. When software is ready for the CIC CD pipeline, only DevOps from Broadcom uses AI to prioritize the most critical and relevant tests dramatically improving feedback speed with no decrease in quality. This release is ready to go wherever you are in your DevOps journey. Broadcom helps maximize innovation velocity while managing risk. So you can deploy ideas into production faster and release with more confidence from around the globe. It's the queue with digital coverage of dev ops virtual forum brought to you by Broadcom. >>Hi guys. Welcome back. So we have discussed the current state and the near future state of dev ops and how it's going to evolve from three unique perspectives. In this last segment, we're going to open up the floor and see if we can come to a shared understanding of where dev ops needs to go in order to be successful next year. So our guests today are, you've seen them all before Jeffrey Hammond is here. The VP and principal analyst serving CIO is at Forester. We've also Serge Lucio, the GM of Broadcom's enterprise software division and Glenn Martin, the head of QA transformation at BT guys. Welcome back. Great to have you all three together >>To be here. >>All right. So we're very, we're all very socially distanced as we've talked about before. Great to have this conversation. So let's, let's start with one of the topics that we kicked off the forum with Jeff. We're going to start with you spiritual co-location that's a really interesting topic that we've we've uncovered, but how much of the challenge is truly cultural and what can we solve through technology? Jeff, we'll start with you then search then Glen Jeff, take it away. >>Yeah, I think fundamentally you can have all the technology in the world and if you don't make the right investments in the cultural practices in your development organization, you still won't be effective. Um, almost 10 years ago, I wrote a piece, um, where I did a bunch of research around what made high-performance teams, software delivery teams, high performance. And one of the things that came out as part of that was that these teams have a high level of autonomy. And that's one of the things that you see coming out of the agile manifesto. Let's take that to today where developers are on their own in their own offices. If you've got teams where the team itself had a high level of autonomy, um, and they know how to work, they can make decisions. They can move forward. They're not waiting for management to tell them what to do. >>And so what we have seen is that organizations that embraced autonomy, uh, and got their teams in the right place and their teams had the information that they needed to make the right decisions have actually been able to operate pretty well, even as they've been remote. And it's turned out to be things like, well, how do we actually push the software that we've created into production that would become the challenge is not, are we writing the right software? And that's why I think the term spiritual co-location is so important because even though we may be physically distant, we're on the same plane, we're connected from a, from, from a, a shared purpose. Um, you know, surgeon, I worked together a long, long time ago. So it's been what almost 15, 16 years since we were at the same place. And yet I would say there's probably still a certain level of spiritual co-location between us, uh, because of the shared purposes that we've had in the past and what we've seen in the industry. And that's a really powerful tool, uh, to build on. So what do tools play as part of that, to the extent that tools make information available, to build shared purpose on to the extent that they enable communication so that we can build that spiritual co-location to the extent that they reinforce the culture that we want to put in place, they can be incredibly valuable, especially when, when we don't have the luxury of physical locate physical co-location. Okay. That makes sense. >>It does. I shouldn't have introduced us. This last segment is we're all spiritually co-located or it's a surge, clearly you're still spiritually co located with jump. Talk to me about what your thoughts are about spiritual of co-location the cultural impact and how technology can move it forward. >>Yeah. So I think, well, I'm going to sound very similar to Jeff in that respect. I think, you know, it starts with kind of a shared purpose and the other understanding, Oh, individuals teams, uh, contributed to kind of a business outcome, what is our shared goal or shared vision? What's what is it we're trying to achieve collectively and keeping it kind of aligned to that? Um, and so, so it's really starts with that now, now the big challenge, always these over the last 20 years, especially in large organization, there's been specialization of roles and functions. And so we, we all that started to basically measure which we do, uh, on a daily basis using metrics, which oftentimes are completely disconnected from kind of a business outcome or purpose. We, we kind of reverted back to, okay, what is my database all the time? What is my cycle time? >>Right. And, and I think, you know, which we can do or where we really should be focused as an industry is to start to basically provide a lens or these different stakeholders to look at what they're doing in the context of kind of these business outcomes. So, um, you know, probably one of my, um, favorites experience was to actually weakness at one of a large financial institution. Um, you know, Tuesday Golder's unquote development and operations staring at the same data, right. Which was related to, you know, in calming changes, um, test execution results, you know, Coverity coverage, um, official liabilities and all the all ran. It could have a direction level links. And that's when you start to put these things in context and represent that to you in a way that these different stakeholders can, can look at from their different lens. And, uh, and it can start to basically communicate and, and understand have they joined our company to, uh, to, to that kind of common view or objective. >>And Glen, we talked a lot about transformation with you last time. What are your thoughts on spiritual colocation and the cultural part, the technology impact? >>Yeah, I mean, I agree with Jeffrey that, you know, um, the people and culture, the most important thing, actually, that's why it's really important when you're transforming to have partners who have the same vision as you, um, who, who you can work with, have the same end goal in mind. And w I've certainly found that with our, um, you know, continuing relationship with Broadcom, what it also does though, is although, you know, tools can accelerate what you're doing and can join consistency. You know, we've seen within simplify, which is BTS flagship transformation program, where we're trying to, as it can, it says simplify the number of systems stacks that we have, the number of products that we have actually at the moment, we've got different value streams within that program who have got organizational silos. We were trying to rewrite, rewrite the wheel, um, who are still doing things manually. >>So in order to try and bring that consistency, we need the right tools that actually are at an enterprise grade, which can be flexible to work with in BT, which is such a complex and very dev, uh, different environments, depending on what area of BT you're in, whether it's a consumer, whether it's a mobile area, whether it's large global or government organizations, you know, we found that we need tools that can, um, drive that consistency, but also flex to Greenfield brownfield kind of technologies as well. So it's really important that as I say, for a number of different aspects, that you have the right partner, um, to drive the right culture, I've got the same vision, but also who have the tool sets to help you accelerate. They can't do that on their own, but they can help accelerate what it is you're trying to do in it. >>And a really good example of that is we're trying to shift left, which is probably a, quite a bit of a buzz phrase in their kind of testing world at the moment. But, you know, I could talk about things like continuous delivery direct to when a ball comes tools and it has many different features to it, but very simply on its own, it allows us to give the visibility of what the teams are doing. And once we have that visibility, then we can talk to the teams, um, around, you know, could they be doing better component testing? Could they be using some virtualized services here or there? And that's not even the main purpose of continuous delivery director, but it's just a reason that tools themselves can just give greater visibility of have much more intuitive and insightful conversations with other teams and reduce those organizational silos. >>Thanks, Ben. So we'd kind of sum it up, autonomy collaboration tools that facilitate that. So let's talk now about metrics from your perspectives. What are the metrics that matter? Jeff, >>I'm going to go right back to what Glenn said about data that provides visibility that enables us to, to make decisions, um, with shared purpose. And so business value has to be one of the first things that we look at. Um, how do we assess whether we have built something that is valuable, you know, that could be sales revenue, it could be net promoter score. Uh, if you're not selling what you've built, it could even be what the level of reuse is within your organization or other teams picking up the services, uh, that you've created. Um, one of the things that I've begun to see organizations do is to align value streams with customer journeys and then to align teams with those value streams. So that's one of the ways that you get to a shared purpose, cause we're all trying to deliver around that customer journey, the value with it. >>And we're all measured on that. Um, there are flow metrics which are really important. How long does it take us to get a new feature out from the time that we conceive it to the time that we can run our first experiments with it? There are quality metrics, um, you know, some of the classics or maybe things like defect, density, or meantime to response. Um, one of my favorites came from a, um, a company called ultimate software where they looked at the ratio of defects found in production to defects found in pre production and their developers were in fact measured on that ratio. It told them that guess what quality is your job to not just the test, uh, departments, a group, the fourth level that I think is really important, uh, in, in the current, uh, situation that we're in is the level of engagement in your development organization. >>We used to joke that we measured this with the parking lot metric helpful was the parking lot at nine. And how full was it at five o'clock. I can't do that anymore since we're not physically co-located, but what you can do is you can look at how folks are delivering. You can look at your metrics in your SCM environment. You can look at, uh, the relative rates of churn. Uh, you can look at things like, well, are our developers delivering, uh, during longer periods earlier in the morning, later in the evening, are they delivering, uh, you know, on the weekends as well? Are those signs that we might be heading toward a burnout because folks are still running at sprint levels instead of marathon levels. Uh, so all of those in combination, uh, business value, uh, flow engagement in quality, I think form the backbone of any sort of, of metrics, uh, a program. >>The second thing that I think you need to look at is what are we going to do with the data and the philosophy behind the data is critical. Um, unfortunately I see organizations where they weaponize the data and that's completely the wrong way to look at it. What you need to do is you need to say, you need to say, how is this data helping us to identify the blockers? The things that aren't allowing us to provide the right context for people to do the right thing. And then what do we do to remove those blockers, uh, to make sure that we're giving these autonomous teams the context that they need to do their job, uh, in a way that creates the most value for the customers. >>Great advice stuff, Glenn, over to your metrics that matter to you that really make a big impact. And, and, and also how do you measure quality kind of following onto the advice that Jeff provided? >>That's some great advice. Actually, he talks about value. He talks about flow. Both of those things are very much on my mind at the moment. Um, but there was this, I listened to a speaker, uh, called me Kirsten a couple of months ago. It taught very much around how important flow management is and removing, you know, and using that to remove waste, to understand in terms of, you know, making software changes, um, what is it that's causing us to do it longer than we need to. So where are those areas where it takes long? So I think that's a very important thing for us. It's even more basic than that at the moment, we're on a journey from moving from kind of a waterfall to agile. Um, and the problem with moving from waterfall to agile is with waterfall, the, the business had a kind of comfort that, you know, everything was tested together and therefore it's safer. >>Um, and with agile, there's that kind of, you know, how do we make sure that, you know, if we're doing things quick and we're getting stuff out the door that we give that confidence, um, that that's ready to go, or if there's a risk that we're able to truly articulate what that risk is. So there's a bit about release confidence, um, and some of the metrics around that and how, how healthy those releases are, and actually saying, you know, we spend a lot of money, um, um, an investment setting up our teams, training our teams, are we actually seeing them deliver more quickly and are we actually seeing them deliver more value quickly? So yeah, those are the two main things for me at the moment, but I think it's also about, you know, generally bringing it all together, the dev ops, you know, we've got the kind of value ops AI ops, how do we actually bring that together to so we can make quick decisions and making sure that we are, um, delivering the biggest bang for our buck, absolutely biggest bang for the buck, surge, your thoughts. >>Yeah. So I think we all agree, right? It starts with business metrics, flow metrics. Um, these are kind of the most important metrics. And ultimately, I mean, one of the things that's very common across a highly functional teams is engagements, right? When, when you see a team that's highly functioning, that's agile, that practices DevOps every day, they are highly engaged. Um, that that's, that's definitely true. Now the, you know, back to, I think, uh, Jeff's point on weaponization of metrics. One of the key challenges we see is that, um, organizations traditionally have been kind of, uh, you know, setting up benchmarks, right? So what is a good cycle time? What is a good lead time? What is a good meantime to repair? The, the problem is that this is very contextual, right? It varies. It's going to vary quite a bit, depending on the nature of application and system. >>And so one of the things that we really need to evolve, um, as an industry is to understand that it's not so much about those flow metrics is about our, these four metrics ultimately contribute to the business metric to the business outcome. So that's one thing. The second aspect, I think that's oftentimes misunderstood is that, you know, when you have a bad cycle time or, or, or what you perceive as being a buy cycle time or better quality, the problem is oftentimes like all, do you go and explore why, right. What is the root cause of this? And I think one of the key challenges is that we tend to focus a lot of time on metrics and not on the eye type patterns, which are pretty common across the industry. Um, you know, if you look at, for instance, things like lead time, for instance, it's very common that, uh, organizational boundaries are going to be a key contributor to badly time. >>And so I think that there is, you know, the only the metrics there is, I think a lot of work that we need to do in terms of classifying, descend type patterns, um, you know, back to you, Jeff, I think you're one of the cool offers of waterscrumfall as a, as, as a key pattern, the industry or anti-spatter. Um, but waterscrumfall right is a key one, right? And you will detect that through kind of a defect arrival rates. That's where that looks like an S-curve. And so I think it's beyond kind of the, the metrics is what do you do with those metrics? >>Right? I'll tell you a search. One of the things that is really interesting to me in that space is I think those of us had been in industry for a long time. We know the anti-patterns cause we've seen them in our career maybe in multiple times. And one of the things that I think you could see tooling do is perhaps provide some notification of anti-patterns based on the telemetry that comes in. I think it would be a really interesting place to apply, uh, machine learning and reinforcement learning techniques. Um, so hopefully something that we'd see in the future with dev ops tools, because, you know, as a manager that, that, you know, may be only a 10 year veteran or 15 year veteran, you may be seeing these anti-patterns for the first time. And it would sure be nice to know what to do, uh, when they start to pop up, >>That would right. Insight, always helpful. All right, guys, I would like to get your final thoughts on this. The one thing that you believe our audience really needs to be on the lookout for and to put on our agendas for the next 12 months, Jeff will go back to you. Okay. >>I would say look for the opportunities that this disruption presents. And there are a couple that I see, first of all, uh, as we shift to remote central working, uh, we're unlocking new pools of talent, uh, we're, it's possible to implement, uh, more geographic diversity. So, so look to that as part of your strategy. Number two, look for new types of tools. We've seen a lot of interest in usage of low-code tools to very quickly develop applications. That's potentially part of a mainstream strategy as we go into 2021. Finally, make sure that you embrace this idea that you are supporting creative workers that agile and dev ops are the peanut butter and chocolate to support creative, uh, workers with algorithmic capabilities, >>Peanut butter and chocolate Glen, where do we go from there? What are, what's the one silver bullet that you think folks to be on the lookout for now? I, I certainly agree that, um, low, low code is, uh, next year. We'll see much more low code we'd already started going, moving towards a more of a SAS based world, but low code also. Um, I think as well for me, um, we've still got one foot in the kind of cow camp. Um, you know, we'll be fully trying to explore what that means going into the next year and exploiting the capabilities of cloud. But I think the last, um, the last thing for me is how do you really instill quality throughout the kind of, um, the, the life cycle, um, where, when I heard the word scrum fall, it kind of made me shut it because I know that's a problem. That's where we're at with some of our things at the moment we need to get beyond that. We need >>To be releasing, um, changes more frequently into production and actually being a bit more brave and having the confidence to actually do more testing in production and go straight to production itself. So expect to see much more of that next year. Um, yeah. Thank you. I haven't got any food analogies. Unfortunately we all need some peanut butter and chocolate. All right. It starts to take us home. That's what's that nugget you think everyone needs to have on their agendas? >>That's interesting. Right. So a couple of days ago we had kind of a latest state of the DevOps report, right? And if you read through the report, it's all about the lost city, but it's all about sweet. We still are receiving DevOps as being all about speed. And so to me, the key advice is in order to create kind of a spiritual collocation in order to foster engagement, we have to go back to what is it we're trying to do collectively. We have to go back to tie everything to the business outcome. And so for me, it's absolutely imperative for organizations to start to plot their value streams, to understand how they're delivering value into aligning everything they do from a metrics to deliver it, to flow to those metrics. And only with that, I think, are we going to be able to actually start to really start to align kind of all these roles across the organizations and drive, not just speed, but business outcomes, >>All about business outcomes. I think you guys, the three of you could write a book together. So I'll give you that as food for thought. Thank you all so much for joining me today and our guests. I think this was an incredibly valuable fruitful conversation, and we appreciate all of you taking the time to spiritually co-located with us today, guys. Thank you. Thank you, Lisa. Thank you. Thank you for Jeff Hammond serves Lucio and Glen Martin. I'm Lisa Martin. Thank you for watching the broad cops Broadcom dev ops virtual forum.
SUMMARY :
of dev ops virtual forum brought to you by Broadcom. Nice to talk with you today. It's good to be here. One of the things that we think of is speed, it was essentially a sprint, you know, you run as hard as you can for as fast as you can And it's almost like, you know, if you've ever run a marathon the first mile or two in the marathon, um, we have to think about all the activities that you need to do from a dev ops perspective and to hiring, you know, achieve higher levels of digitization in our processes and We've said that the key to success with agile at the team level is cross-functional organizations, as you say, going from, you know, physical workspaces, uh, agile manifesto, you know, there were four principles that were espoused individuals and interactions is important to make sure that that agility is there for one thing, you have to defer decisions So those teams have to be empowered to make decisions because you can't have a I think we all could use some of that, but, you know, you talked about in the beginning and I've, Um, when everybody was in the office, you could kind of see the And that gives you an indication of how engaged your developers are. um, whether it's, you know, more regular social events, that have done this well, this adaptation, what can you share in terms of some real-world examples that might Um, you know, first of all, since the start of COVID, if you don't have good remote onboarding processes, Those are the kinds of things that we have to be, um, willing to, um, and the business folks to just get better at what they're doing and learning to embrace It's it's, it's an important thing. Thank you so much for joining for Jeffrey I'm Lisa Martin, of dev ops virtual forum brought to you by Broadcom, I just had the chance to talk with Jeffrey Hammond and he unlocked this really interesting concept, uh, you know, driving a bias towards action. Well, and it talked about culture being, it's something that, you know, we're so used to talking about dev ops with respect does it take where, you know, that code to be processed through pipeline pushy? you know, when I checked in code, you know, to do I guess the system to automatically identify what So we'll get to AI in a second, but I'm curious, what are some of the, of the metrics you think that really matter right And so I'm much more interested and we, you know, fruit for Broadcom. are being defined as a set of OTRs, they have interdependencies and you have have a new set And so, you know, it's not uncommon to see, you know, teams where, you know, How do you think those technologies can be leveraged by DevOps leaders to influence as a leader of a, you know, 1500 people organization, there's a number of from a people point of view, which were hidden, uh, you can start to understand maybe It's um, you know, you know, the SRE folks, the dev ops says can use AI and automation in the right ways Um, so you can, you can do a lot of an analytics, predictive analytics. So if you start to understand, for instance, that whenever maybe, you know, So I mentioned in the beginning of our conversation, that just came off the biz ops manifesto. the problem we have as an industry is that, um, there are set practices between And so to me, these ops is really about kind of, uh, putting a lens on So to me, the key, the key, um, challenge for, We thank you so much for sharing your insights and your time at today's DevOps Thanks for your time. of devops virtual forum brought to you by Broadcom. Transformation is at the heart of what you do. transformation that you are still responsible for driving? you know, we had to do some great things during this time around, um, you know, in the UK for one of the things that I want to ask you about, I'm again, looking at DevOps from the inside But one of the things I'd love to get your perspective I always say that, you know, you're only as good as your lowest And, you know, What are some of the shifts in terms of expectations Um, you know, there's a thing that I think people I mean, we talk about collaboration, but how do we actually, you know, do that and have something that did you face and figure out quickly enough to be able to pivot so fast? and that's the kind of trade off that we have to make, how do we actually deal with that and hide that from So we haven't got, you know, the cost of the last 12 months. What are some of the core technology capabilities that you see really as kind demands for the team, and, you know, with the pressures on, at the moment where we're being asked to do things, And for me, and from a testing point of view, you know, mounds and mounds of testing, we are, um, you let's start in bits that we do well, you know, we've started creating, ops as it comes more and more to the fore as we go to cloud, and that's what we need to, Last question then for you is how would you advise your peers in a similar situation to You know, do they want it to be, um, more agile and, you know, or do they want to, especially if the business hold the purse strings, which in, in, uh, you know, in some companies include not as they And I know, you know, sometimes what is AI Well, thank you so much for giving us this sort of insight outlook at dev ops sharing the So thank you ever so much. I'm Lisa Martin. the entire DevOps pipeline from planning to production, actionable This release is ready to go wherever you are in your DevOps journey. Great to have you all three together We're going to start with you spiritual co-location that's a really interesting topic that we've we've And that's one of the things that you see coming out of the agile Um, you know, surgeon, I worked together a long, long time ago. Talk to me about what your thoughts are about spiritual of co-location I think, you know, it starts with kind of a shared purpose and the other understanding, that to you in a way that these different stakeholders can, can look at from their different lens. And Glen, we talked a lot about transformation with you last time. And w I've certainly found that with our, um, you know, continuing relationship with Broadcom, So it's really important that as I say, for a number of different aspects, that you have the right partner, then we can talk to the teams, um, around, you know, could they be doing better component testing? What are the metrics So that's one of the ways that you get to a shared purpose, cause we're all trying to deliver around that um, you know, some of the classics or maybe things like defect, density, or meantime to response. later in the evening, are they delivering, uh, you know, on the weekends as well? teams the context that they need to do their job, uh, in a way that creates the most value for the customers. And, and, and also how do you measure quality kind of following the business had a kind of comfort that, you know, everything was tested together and therefore it's safer. Um, and with agile, there's that kind of, you know, how do we make sure that, you know, if we're doing things quick and we're getting stuff out the door that of, uh, you know, setting up benchmarks, right? And so one of the things that we really need to evolve, um, as an industry is to understand that we need to do in terms of classifying, descend type patterns, um, you know, And one of the things that I think you could see tooling do is The one thing that you believe our audience really needs to be on the lookout for and to put and dev ops are the peanut butter and chocolate to support creative, uh, But I think the last, um, the last thing for me is how do you really instill and having the confidence to actually do more testing in production and go straight to production itself. And if you read through the report, it's all about the I think this was an incredibly valuable fruitful conversation, and we appreciate all of you
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Jeffrey Hammond, Forrester | DevOps Virtual Forum Promo
>>Yeah. Hey, welcome back. Friday, Jeffrey here with the Cube, come to you from our Palo Alto studios today, talking about event that we're gonna have in November. It's pretty exciting. And to talk about it and give us a little bit of a preview, we're joined in the segment by Jeffrey Hammond. He's the vice president and principal analyst at Forrester. Jeffrey, great to see you. >>It's good to be here, Jeff. Thanks for having me. >>Absolutely so lot of social media memes about. You know, what's driving your digital transformation is the CEO, the CEO or CO of it, and I think we all know what the answer is. But what's what's happened is, as we've, you know, accelerated digital transformation, and we had the lights light switch moment, everybody working from home. We're now six months, eight months into this, and this is gonna be going on for a while. So specifically in the context of Dev Ops, where such a foundation of that is us getting together every morning in a room and having a quick stand up and talking about what our challenges isn't going out to develop. We have been able to do that for six months, and we're probably not gonna be able to do it for a little while longer. So how is Dev? Ops in 2021? The Age of Covert and even Post Cove? It's gonna be different from what we had say 2019. >>Yeah, Jeff. A couple years ago I wrote a piece called Designing Developer Spaces, and it was all about creating physical spaces for agile teams. Toe work in because as creative teams, they needed to have an environment that supported them. And the idea of remote working was kind of like unaudited e. You know, there was a list up on git hub of companies. It's a or did remote developers. And it was maybe 100 companies long at that point. And, you know, now you know, in in 2020 every company is a remote development company. And so all those investments in physical spaces to support cross functional co located teams aren't something that we're able to take advantage of today, and as a result, it's forcing companies Thio become even more disciplined with respect to the things that they do to help development teams work together. It's enforcing them to to, you know, focus on what I would call spiritual co location, because physical co location is no longer an option. And you can't do that without having and even higher attention toe automation on Dev ops practices that enable it, but also an increased focus on enabling digital collaboration, moving from things like the physical con bond wall that you put index cards on onto tools that help you replicate that sort of capability. But do it in a digital world when you have 100% remote developers, right, >>right, so so just begs a lot of questions. You know? What should people be measuring? How should they be measuring? I mean, we have all kinds of measurement tools, and obviously the devolves process is continuous thing that's happening every day, pushing out new releases every day. How dio the managers kind of rethink about how they're measuring outcomes. I don't wanna say success because it's really outcomes and not activity. >>Yeah, it's a really timely question, Jeff. You know, I've been getting a lot of questions from from large enterprise development shops about Well, how doe I make sure that my employees are still productive now that I can't see them. Should I be measuring individual productivity? You know my answers. You know, I don't think so. You really want to be able Thio? You really want to be able Thio measure the team level, But you may want to allow individuals to begin toe look at their own productivity metrics and benchmarks themselves because they can't see the person next to them in the other desk or have that conversation and know that they're doing a good job. So the way that managers works changes significantly. Andi. That's one of the things that we'll talk about in November, >>right? And I'm just curious. How much stuff can we pull from? Generic leadership is well, because it's the same situation. I love your I love your concept of spiritual alignment that's also got to come not only from the Dev Ops team, but from all the senior leadership now who don't necessarily have the opportunity to reinforce those messages in the hallway or whatever the kind of the normal communication channels that they used before. But this this is well beyond Dev ops, but really, you know, leadership in general, I would say, >>Yeah, it comes down to data collaboration and shared vision. You know, those principles are not unique to software development, but they're extremely important for any type of creative work. And and that's what software development is. So we can learn a lot from from from from the businesses, the whole. But then we need to apply it specifically in the process and context of developing software. And that's where Dev Ops creates the link to enable that happened. >>Yeah, really? An interesting kind of fork in the road, if you will. Dev Ops has been around for 20 some odd years. Fundamental change in the way software respect and built and delivered. But as you said, I mean, even by definition, um, cross functional co located teams simply aren't enabled today and probably won't be for a little while longer. So I think this is probably, ah, lot of information that people are really excited to hear. >>Yeah, especially because we're now out of the sprint phase. We're moving into a marathon. We're gonna have to deal with this for probably at least the next 8 to 12 months. So we've got to start thinking differently for the long term and and and how we keep our employees productive. But we also keep them happy and make sure that they aren't burning out so that they're developing great software. That really matters. >>Yeah, that's great. Well, thanks for the little tease we look forward to getting. Ah, a lot more meat in this topic and diving in in November. So, Jeffrey, Thanks for stopping by and again. His Dev Ops Virtual Form, November 18th, 11 a.m. Eastern 80 and Pacific. Jeffrey, we'll see you there. >>Can't wait. It'll be a lot of, um >>Alright. He's Jeffrey. I'm Jeff. You're watching the Cube, So get ready. Mark your calendars for November. It's the Dev Ops Virtual Forum. Um, November 18 11 a.m. Eastern eight, Pacific Sea There. Thanks for watching.
SUMMARY :
come to you from our Palo Alto studios today, talking about event that we're gonna have in November. It's good to be here, Jeff. CEO, the CEO or CO of it, and I think we all know what the answer is. It's enforcing them to to, you know, focus on what I would call How dio the managers kind of rethink about how they're measuring You really want to be able Thio measure the team level, But you may want to allow individuals But this this is well beyond Dev ops, but really, you know, leadership in general, Yeah, it comes down to data collaboration and shared vision. An interesting kind of fork in the road, if you will. We're gonna have to deal with this for probably at least the next 8 to 12 months. Well, thanks for the little tease we look forward to getting. It'll be a lot of, um It's the Dev Ops Virtual Forum.
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Jeffrey Hammond, Forrester | DevOps Virtual Forum
>>Hey, welcome back Friday, Jeffrey here with the Cube coming to you from our Palo Alto studios today, talking about event that we're gonna have in November. It's pretty exciting. And to talk about it and give us a little bit of a preview, we're joined in the segment by Jeffrey Hammond. He's the vice president and principal analyst at Forrester. Jeffrey, great to see you. >>It's good to be here, Jeff. Thanks for having me. >>Absolutely so lot of social media memes about. You know, what's driving your digital transformation is the CEO, the CEO or CO of it, and I think we all know what the answer is. But what's what's happened is, as we've, you know, accelerated digital transformation, and we had the lights light switch moment, everybody working from home. We're now six months, eight months into this, and this is gonna be going on for a while. So specifically in the context of Dev Ops, where such a foundation of that is us getting together every morning in a room and having a quick stand up and talking about what our challenges isn't going out to develop. We have been able to do that for six months, and we're probably not gonna be able to do it for a little while longer. So how is Dev? Ops in 2021? The Age of Covert and even Post Cove is gonna be different from what we had say, 2019. >>Yeah, Jeff. A couple years ago I wrote a piece called Designing Developer Spaces. And it was all about creating physical spaces for agile teams. Toe work in because as creative teams, they needed to have an environment that supported them. And the idea of remote working was kind of like unaudited e. You know, there was a list up on git hub of of companies that supported remote developers. And it was maybe 100 companies long at that point. And, you know, now you know, in 2020 every company is a remote development company. And so all those investments in physical spaces, too, for cross functional co located teams aren't something that we're able to take advantage of today, and as a result, it's forcing companies Thio become even more disciplined with respect to the things that they do to help development teams work together. It's enforcing them to to, you know, focus on what I would call spiritual co location because physical co location is no longer an option. And you can't do that without having and even higher attention toe automation on Dev ops practices that enable it, but also an increased focus on enabling digital collaboration. Moving from things like the physical con bond wall that you put index cards on onto tools that help you replicate that sort of capability. But do it in a digital world when you have 100% remote developers, right? >>Right, so so just begs a lot of questions. You know? What should people be measuring? How should they be measuring? I mean, we have all kinds of measurement tools, and obviously the devolves process is continuous thing that's happening every day, pushing out new releases every day. How dio the managers kind of rethink about how they're measuring outcomes. I don't wanna say success because it's really outcomes and not activity. >>Yeah, it's a really timely question, Jeff. You know, I've been getting a lot of questions from from large enterprise development shops about Well, how doe I make sure that my employees are still productive now that I can't see them. Should I be measuring individual productivity? You know my answers. You know, I don't think so. You really want to be able Thio? You really want to be able Thio measure the team level, But you may want to allow individuals to begin toe look at their own productivity metrics and benchmarks themselves because they can't see the person next to them in the other desk or have that conversation and know that they're doing a good job. So the way that managers works changes significantly. Andi. That's one of the things that we'll talk about in November, >>right? And I'm just curious. How much stuff can we pull from? Generic leadership is well, because it's the same situation. I love your I love your concept of spiritual alignment that's also got to come not only from the Dev Ops team, but from all the senior leadership now who don't necessarily have the opportunity to reinforce those messages in the hallway or whatever the kind of the normal communication channels that they used before. But this this is well beyond Dev ops, but really, you know, leadership in general, I would say >>Yeah, it comes down to data collaboration and shared vision. You know, those principles were not unique to software development, but they're extremely important for any type of creative work. And and that's what software development is. So we can learn a lot from from from from the businesses, the whole. But then we need to apply it specifically in the process and context of developing software. And that's where Dev Ops creates the link to enable that happen. >>Yeah, really? An interesting kind of fork in the road, if you will. Dev Ops has been around for 20 some odd years. Fundamental change in the way software respect and built and delivered. But as you said, I mean, even by definition, um, cross functional co located teams simply aren't enabled today and probably won't be for a little while longer. So I think this is probably, ah, lot of information that people are really excited to hear. >>Yeah, especially because we're now out of the sprint phase. We're moving into a marathon. We're gonna have to deal with this for probably at least the next 8 to 12 months. So we've got to start thinking differently for the long term and and and how we keep our employees productive, but we also keep them happy and make sure that they aren't burning out so that they're developing great software. That really matters. >>Yeah, that's great. Well, thanks for the little tease we look forward to getting. Ah, a lot more meat in this topic and diving in in November. So, Jeffrey, Thanks for stopping by and again. His Dev Ops Virtual Form, November 18th, 11 a.m. Eastern 80 and Pacific. Jeffrey, we'll see you there. >>Can't wait. It'll be a lot of, um >>Alright. He's Jeffrey. I'm Jeff. You're watching the Cube, so get ready. Mark your calendars for November. It's the Dev Ops Virtual Forum. Um, November 18. 11 a.m. Eastern eight, Pacific Sea There. Thanks for watching. Yeah.
SUMMARY :
And to talk about it and give us a little bit of a preview, It's good to be here, Jeff. CEO, the CEO or CO of it, and I think we all know what the answer is. It's enforcing them to to, you know, focus on what I would call How dio the managers kind of rethink about how they're measuring You really want to be able Thio measure the team level, But you may want to allow individuals But this this is well beyond Dev ops, but really, you know, Yeah, it comes down to data collaboration and shared vision. An interesting kind of fork in the road, if you will. We're gonna have to deal with this for probably at least the next 8 to 12 months. Well, thanks for the little tease we look forward to getting. It'll be a lot of, um It's the Dev Ops Virtual Forum.
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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.
SUMMARY :
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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ON DEMAND SWARM ON K8S FINAL NEEDS CTA SLIDE
>>welcome to the session. Long live swarm with containers and kubernetes everywhere we have this increasing cloud complexity at the same time that we're facing economic uncertainty and, of course, to navigate this. For most companies, it's a matter of focusing on speed and on shipping and iterating their code faster. Now. For many, Marantz is customers. That means using docker swarm rather than kubernetes to handle container orchestration. We really believe that the best way to increase your speed to production is choice, simplicity and security. So we wanted to bring you a couple of experts to talk about the state of swarm and Docker enterprise and how you can make best use of both of you. So let's get to it. Well, good afternoon or good morning, depending on where you are on and welcome to today's session. Long live swarm. I am Nick Chase. I'm head of content here at Mantis and I would like to introduce you to our two Panelists today eight of Manzini. Why don't you introduce yourself? >>I am a van CNI. I'm a solutions architect here at Moran Tous on work primarily with Docker Enterprise System. I have a long history of working with support team. Um, at what used to be Ah Docker Enterprise, part of Docker Inc. >>Yeah, Okay. Great. And Don Power. >>I, um Yeah, I'm Don Power on the docker. Captain Docker, community leader. Right now I run our Dev Ops team for Citizens Bank out of Nashville, Tennessee, and happy to be here. >>All right, Excellent. So All right, so thank you both for coming. Now, before we say anything else, I want to go ahead and kind of name the elephant in the room. There's been a lot of talk about the >>future. Yeah, that's right. Um, swarm as it stands right now, um, we have, ah, very vested interest in keeping our customers on who want to continue using swarm, functional and keeping swarm a viable alternative or complement to kubernetes. However you see the orchestration war playing out as it were. >>Okay? It's hardly a war at this point, but they do work together, and so that's >>absolutely Yeah, I I definitely consider them more of like, complimentary services, um, using the right tool for the job. Sort of sense. They both have different design goals when they were originally created and set out so I definitely don't see it as a completely one or the other kind of decision and that they could both be used in the same environment and similar clusters to run whatever workload that you have. >>Excellent. And we'll get into the details of all that as we go along. So that's terrific. So I have not really been involved in in the sort of swarm area. So set the stage for us where we kind of start out with all of this. Don I know that you were involved and so guys said, set the stage for us. >>Sure, Um I mean so I've been a heavy user of swarm in my past few roles. Professionally, we've been running containers in production with Swarm for coming up on about four years. Now, Um, in our case, we you know, we looked at what was available at the time, and of course you had. Kubernetes is your biggest contender out there, but like I just mentioned, the one of the things that really led us to swarm is it's design goals were very different than kubernetes. So Kubernetes tries to have an answer for absolutely every scenario where swarm tries to have an answer for, like, the 80% of problems or challenges will say that you might come across 80% of the workloads. Um, I had a better way of saying that, but I think I got my point across >>E Yeah, I think I think you hit the nail on the head. Um, Kubernetes in particular with the way that kubernetes itself is an a P I I believe that kubernetes was, um, you know, written as a toolkit. It wasn't really intended to be used by end users directly. It was really a way to build platforms that run containers. And because it's this really, really extensible ap I you can extend it to manage all sorts of resource is swarm doesn't have that X sensibility aspect, but what it was designed to do, it does very, very well and very easily in a very, very simple sort of way. Um, it's highly opinionated about the way that you should use the product, but it works very effectively. It's very easy to use. It's very low. Um, not low effort, but low. Ah, low barrier to entry. >>Yes. Yes. Absolutely. I was gonna touch on the same thing. It's very easy for someone to come in. Pick up swarm. You know they don't They don't have to know anything about the orchestrator on day one. Most people that are getting into this space are very familiar with Docker. Compose um, and entering from Docker compose into swarm is changing one command that you would run on the command line. >>Yeah, very, very trivial to if you are already used to building docker files using composed, organize your deployment into stacks of related components. It's trivial to turn on swarm mode and then deploy your container set to a cluster. >>Well, excellent. So answer this question for me. Is the swarm of today the same as the swarm of, you know, the original swarm. So, like when swim first started is that the same is what we have now >>it's kind of ah, complicated story with the storm project because it's changed names and forms a few times. Originally in is really somewhere around 2014 in the first version, and it was a component that you really had to configure and set up separately from Docker Ah, the way that it was structured. Ah, you would just have docker installed on a number of servers are machines in your cluster. And then you would organize them into a swarm by bringing your own database and some of the tooling to get those nodes talking to each other and to organize your containers across all of your docker engines. Ah, few years later, the swarm project was retooled and baked into the docker engine. And, um, this is where we sort of get the name change from. So originally it was a feature that we called swarm. Ah. Then the Swarm Kit project was released on Get Hub and baked directly into the engine, where they renamed it as swarm mode. Because now it is a motile option that you just turn on as a button in the docker engine and because it's already there the, um, the tuning knobs that you haven't swarm kit with regard to how what my time outs are and some of these other sort of performance settings there locked there, they're there. It's part of the opinionated set of components that builds up the docker engine is that we bring in the Swarm Kit project with a certain set of defaults and settings. And that is how it operates in today's version of Docker engine. >>Uh, okay for that, that makes sense. That makes sense. So ah, so don, I know you have pretty strong feelings about this topic, but it is swarm still viable in a world that's sort of increasingly dominated by Kubernetes. >>Absolutely. And you were right. I'm very passionate about this topic where I work. We're we're doing almost all of our production work lives on swarm we only have out of Ah, we've got something like 600 different services between three and 4000 containers. At any given point in time. Out of all of those projects, all of those services we've only run into two or three that don't kind of fit into the opinionated model of swarm. So we are running those on KUBERNETES in the same cluster using Moranis is Docker enterprise offering. But, um, no, that's a very, very small percentage of services that we didn't have an answer for in swarm with one. The one case that really gets us just about every time is scaling state full services. But you're gonna have very few staple services in most environments for things like micro service architecture, which is predominantly what we build out. Swarm is perfect. It's simple. It's easy to use you, don't you? Don't end up going for miles of yamma files trying to figure out the one setting that you didn't get exactly right? Um yeah, the other Thea the other big piece of it that way really led us to adopting it so heavily in the beginning is, you know, the overlay network. So your networks don't have to span the whole cluster like they do with kubernetes. So we could we could set up a network isolation between service A and service B, just by use using the built in overlay networks. That was a huge component that, like I said, let us Teoh adopting it so heavily when we first got started. >>Excellent. You look like you're about to say something in a >>Yeah, I think that speaks to the design goals for each piece of software. On the way that I've heard this described before is with regard to the networking piece the ah, the docker networking under the hood, um, feels like it was written by a network engineer. The way that the docker engine overlay networks communicate uses ah, VX lan under the hood, which creates pseudo V lands for your containers. And if two containers aren't on the same Dylan, there's no way they can communicate with each other as opposed to the design of kubernetes networking, which is really left to the C and I implementation but still has the design philosophy of one big, flat sub net where every I p could reach every other i p and you control what is allowed to access, what by policy. So it's more of an application focused Ah design. Whereas in Docker swarm on the overlay networking side, it's really of a network engineering sort of focus. Right? >>Okay, got it. Well, so now how does all this fit in with Docker enterprise now? So I understand there's been some changes on how swarm is handled within Docker Enterprise. Coming with this new release, >>Docker s O swarm Inside Docker Enterprise is represented as both the swarm classic legacy system that we shift way back in 2014 on and then also the swarm mode that is curly used in the docker engine. Um, the Swarm Classic back end gives us legacy support for being able to run unmanaged plane containers onto a cluster. If you were to take Docker ce right now, you would find that you wouldn't be able to just do a very basic docker run against a whole cluster of machines. You can create services using the swarms services, a p I but, um, that that legacy plane container support is something that you have to set up external swarm in order to provide. So right now, the architecture of Docker Enterprise UCP is based on some of that legacy code from about five or six years ago. Okay. Ah, that gives us ability to deploy plane containers for use cases that require it as well as swarm services for those kinds of workloads that might be better served by the built in load balancing and h A and scaling features that swarm provides. >>Okay, so now I know that at one point kubernetes was deployed within Docker Enterprise as you create a swarm cluster and then deploy kubernetes on top of swarm. >>Correct? That is how the current architecture works. >>Okay. All right. And then, um what is what is where we're going with this like, Are we supposed to? Are we going to running Swarm on top of kubernetes? What's >>the the design goals for the future of swarm within branches? Stocker Enterprise are that we will start the employing Ah, like kubernetes cluster features as the base and a swarm kit on top of kubernetes. So it is like you mentioned just a reversal of the roles. I think we're finding that, um, the ability to extend kubernetes a p I to manage resource is is valuable at an infrastructure and platform level in a way that we can't do with swarm. We still want to be able to run swarm workloads. So we're going to keep the swarm kit code the swarm kit orchestration features to run swarm services as a part of the platform to keep the >>got it. Okay, so, uh, if I'm a developer and I want to run swarm, but my company's running kubernetes what? What are my one of my options there? Well, I think >>eight touched on it pretty well already where you know, it depends on your design goals, and you know, one of the other things that's come up a few times is Thea. The level of entry for for swarm is much, much simpler than kubernetes. So I mean, it's it's kind of hard to introduce anything new. So I mean, a company, a company that's got most of their stuff in kubernetes and production is gonna have a hard time maybe looking at a swarm. I mean, this is gonna be, you know, higher, higher up, not the boots on the ground. But, um, you know, the the upper management, that's at some point, you have to pay for all their support, all of it. What we did in our approach. Because there was one team already using kubernetes. We went ahead and stood up a small cluster ah, small swarm cluster and taught the developers how to use it and how to deploy code to it. And they loved it. They thought it was super simple. A time went on, the other teams took notice and saw how fast these guys were getting getting code deployed, getting services up, getting things usable, and they would look over at what the innovation team was doing and say, Hey, I I want to do that to, uh, you know, so there's there's a bunch of different approaches. That's the approach we took and it worked out very well. It looks like you wanted to say something too. >>Yeah, I think that if you if you're if you're having to make this kind of decision, there isn't There isn't a wrong choice. Ah, it's never a swarm of its role and your organization, right? Right. If you're if you're an individual and you're using docker on your workstation on your laptop but your organization wants to standardize on kubernetes there, there are still some two rules that Mike over Ah, pose. And he's manifest if you need to deploy. Coop resource is, um if you are running Docker Enterprise Swarm kit code will still be there. And you can run swarm services as regular swarm workloads on that component. So I I don't want to I don't want people to think that they're going to be like, locked into one or the other orchestration system. Ah, there the way we want to enable developer choice so that however the developer wants to do their work, they can get it done. Um Docker desktop. Ah, ships with that kubernetes distribution bundled in it. So if you're using a Mac or Windows and that's your development, uh, system, you can run docker debt, turn on your mode and run the kubernetes bits. So you have the choices. You have the tools to deploy to either system. >>And that's one of the things that we were super excited about when they introduced Q. Burnett ease into the Docker Enterprise offering. So we were able to run both, so we didn't have to have that. I don't want to call it a battle or argument, but we didn't have to make anybody choose one or the other. We, you know, we gave them both options just by having Docker enterprise so >>excellent. So speaking of having both options, let's just say for developers who need to make a decision while should I go swarm, or should I go kubernetes when it sort of some of the things that they should think about? >>So I think that certain certain elements of, um, certain elements of containers are going to be agnostic right now. So the the the designing a docker file and building a container image, you're going to need to know that skill for either system that you choose to operate on. Ah, the swarm value. Some of the storm advantage comes in that you don't have to know anything beyond that. So you don't have to learn a whole new A p I a whole new domain specific language using Gamel to define your deployment. Um, chances are that if you've been using docker for any length of time, you probably have a whole stack of composed files that are related to things that you've worked on. And, um, again, the barrier to entry to getting those running on swarm is very low. You just turn it on docker stack, deploy, and you're good to go. So I think that if you're trying to make that choice, if you I have a use case that doesn't require you to manage new resource is if you don't need the Extensible researchers part, Ah, swarm is a great great, great viable option. >>Absolutely. Yeah, the the recommendation I've always made to people that are just getting started is start with swarm and then move into kubernetes and going through the the two of them, you're gonna figure out what fits your design principles. What fits your goals. Which one? You know which ones gonna work best for you. And there's no harm in choosing one or the other using both each one of you know, very tailor fit for very various types of use cases. And like I said, kubernetes is great at some things, but for a lot of other stuff, I still want to use swarm and vice versa. So >>on my home lab, for all my personal like services that I run in my, uh, my home network, I used storm, um, for things that I might deploy onto, you know, a bit this environment, a lot of the ones that I'm using right now are mainly tailored for kubernetes eso. I think especially some of the tools that are out there in the open source community as well as in docker Enterprise helped to bridge that gap like there's a translator that can take your compose file, turn it into kubernetes. Yeah, Mel's, um, if if you're trying to decide, like on the business side, should we standardize on former kubernetes? I think like your what? What functionality are you looking at? Out of getting out of your system? If you need things like tight integration into a ah infrastructure vendor such as AWS Azure or VM ware that might have, like plug ins for kubernetes. You're now you're getting into that area where you're managing Resource is of the infrastructure with your orchestration. AP I with kube so things like persistent volumes can talk to your storage device and carve off chunks of storage and assign those two pods if you don't have that need or that use case. Um, you know, KUBERNETES is bringing in a lot of these features that you maybe you're just not taking advantage of. Um, similarly, if you want to take advantage of things like auto scaling to scale horizontally, let's say you have a message queue system and then a number of workers, and you want to start scaling up on your workers. When your CPU hits a certain a metric. That is something that Kubernetes has built right into it. And so, if you want that, I would probably suggest that you look at kubernetes if you don't need that, or if you want to write some of that tooling yourself. Swarm doesn't have an object built into it that will do automatic horizontal scaling based on some kind of metric. So I always consider this decision as a what features are the most I available to you and your business that you need to Yep. >>All right. Excellent. Well, and, ah, fortunately, of course, they're both available on Docker Enterprise. So aren't we lucky? All right, so I am going to wrap this up. I want to thank Don Bauer Docker captain, for coming here and spending some time with us and eight of Manzini. I would like to thank you. I know that the the, uh, circumstances are less than ideal here for your recording today, but we appreciate you joining us. Um and ah, both of you. Thank you very much. And I want to invite all of you. First of all, thank you for joining us. We know your time is valuable and I want to invite you all Teoh to take a look at Docker Enterprise. Ah, follow the link that's on your screen and we'll see you in the next session. Thank you all so much. Thank you. >>Thank you, Nick.
SUMMARY :
So we wanted to bring you a couple of experts to talk about the state of swarm I have a long history of working with support Tennessee, and happy to be here. kind of name the elephant in the room. However you see the orchestration to run whatever workload that you have. Don I know that you were involved Um, in our case, we you know, we looked at what was Um, it's highly opinionated about the way that you should use is changing one command that you would run on the command line. Yeah, very, very trivial to if you are already used to building docker of, you know, the original swarm. in the first version, and it was a component that you really had to configure and set up separately So ah, so don, I know you have pretty strong to figure out the one setting that you didn't get exactly right? You look like you're about to say something in a On the way that I've heard this described before is with regard to the networking piece Well, so now how does all this fit in with Docker you have to set up external swarm in order to provide. was deployed within Docker Enterprise as you create a swarm cluster That is how the current architecture works. is what is where we're going with this like, Are we supposed to? a part of the platform to keep the I think I mean, this is gonna be, you know, higher, So you have the choices. And that's one of the things that we were super excited about when they introduced Q. So speaking of having both options, let's just say Some of the storm advantage comes in that you don't have to know anything beyond the two of them, you're gonna figure out what fits your design principles. available to you and your business that you need to Yep. I know that the the, uh, circumstances are less than
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Sanjay Mirchandani, Commvault | Commvault FutureReady
>>from around the globe. It's the Cube with digital coverage of CONMEBOL. Future Ready 2020. Brought to you by combo. Hi, I'm Stew Minuteman. And this is the Cube's coverage of Con Volt Future ready event Welcoming back to the program. Fresh off the keynote stage. Sanjay Mirchandani. He's the CEO of Con Volt. Sanjay. Nice job on the keynote. And thanks so much for joining us. >>Thanks to Good to see you again. >>Nice to see you too. So, Sanjay, about a year and 1/2 into your journey with Conn Volt, you took over. And you know what it looks like? You've almost completely refreshed the portfolio there. Start a little bit, you know, future. Ready. Tell us how you're getting Conn Volt and its customers ready to be prepared for what happened today as well as the >>right. So, you know, we've we've given visit The past 18 months, have flown by in the past four or five. Even faster. Um, the change. You know, the change that we've had all deal with us as organizations has been tremendous. We've been hard at work. When I came on board, I should have talked about how we were setting out to simplify, innovate and execute all three of those pillars and, ah, future ready, which I love as a term completely embodies what I think the work we've been up to and what the world needs today, which is really getting it ready for whatever's next. And, you know, and it's coming together of innovation, simplification and and hopefully you'll agree some good execution to bring it all together. Yeah, so we've been busy. >>Sanjay, you talked a bit about just the moment in time that we're in. Wonder if you could bring us inside. You know your customers. So there's certain things that we saw for a couple of months. People put a pause on. Other things absolutely have been accelerated. We talk to customers about their adoption of cloud, you know, digital transformation. It's one of those things. That boy, I hope I'm through some of those or you know, can be as agile as possible. But, you know, what do you hearing specifically from our customer base and how they're dealing with things? >>You know, Cto, I touched a little bit on that during my keynote. And you know this this this this time that we're in has really caused, I think a couple of shifts. The first structural shift was Oh, hey, this thing is here to stay and let's get our employees Working and productive and keep the business is running and keeping them safe and everything else. That first shift happened right on. Honest about What was it that March, April and businesses small and big had to figure out how to take go from their their their operating model into, ah, remote. With the remote model, you re prioritize and you thought through what was important at the time and what it was was really getting laptops into the hands of your employees, getting them safe into their working environment, making sure your business processes leaning in that direction. You could take care of your customers. And so that was sort of the first structural faith, the second structural failures. Okay, how do we really drive productivity? One of the new priorities. What do we need to do, what you want to invest in? What do you want to pull back from? And from our vantage point from A from a technology and data point of view, what we're hearing is the themes that if I had a paraphrase of conversations I have with CIOs, it's NGOs. It's really around a simplification. This is a This is a great time to really simplify and, you know, and make sure that you're working with the tried and tested. This is not the time to experiment. This is not the time for esoteric. This is really about simplifying and working with the tried and tested. The second is really about focusing on skills, you know, this is you need you need to be able to leverage, and you need to be able to bring productivity from the from the people that you have an I t. And really focus around that that's, you know, that sometimes for gotten, you know that I like to call them. The unsung heroes of technology has just been pushed into their homes. They're now doing their jobs, longer hours, tougher scenarios. They have no access to their data centers. So it's over. So let's think about skills and the third, you know, the third thing, really that has been propelled into this conversation is cloud. So if you were on a journey, you're off the journey you need to get there quickly, okay? And you need to really newly leverage a light touch, low touch, remote sort of capability. A So fast is you can't call a digital transformation. Call it whatever you'd like to say. But it is about truly leveraging the cloud in a way that that was no longer, you know, a one year, two year three applying. You just have to bring it right to those kinds of things we're hearing and dealing with. >>Yeah, it's so important, Sanjay. Especially that simplicity piece. You know, I remember a few years ago there were certain customers that were adopting cloud, and it was the reminder. Oh, hey, your data protection in your security, you need to make sure you take care of that when you go to the cloud. And unfortunately, you know, some of the people that are now accelerating things you have to quickly say Oh, wait. I can't work this in a few months. I need to take care of this upfront, so help us understand a little bit. You know, the announcements that you've made. How are you making sure that you're ready for customers? The simplicity that they need to take advantage of the innovation and opportunity that the cloud on solutions provider >>absolutely and and make a mistake for me to. Simplification is not just the technology is easy to use, even though that is a big part of what we're working on and working and delivering through these announcements. But we've also got to make sure that the partnerships that we that we that we have lend themselves to what customers need, you know, engineered better its source not in the field, you know, and then and then the ecosystem to make the technology available and consumed commercially in the way that customers would like to keep that simple to. But today, if I just focus on the portfolio, you know, we've we've you could say we've completely rebuilt this incredible stack of technology that we've built this company out and, you know, and we weave in a nutshell. What we've done is announced A. We've taken our backup and recovery suite and be saying we've got a new company, backup and recovery product. We've got a brand new con Volt disaster recovery product. You can get them together as a unit Azaz the complete backup and recovery suite, if you would. So that's one big set of offerings. The second and you know the second is is we bought Hedvig sort of next generation software defined storage technology company last year, and we've been feverishly work quietly at work, integrating Hedvig into calm bolt not just as a company, but in the technology and our new hyper scale technology. Hyper scale. ECs is the embodiment of those two things coming together, the best of data protection from Con Volt and the best storage subsystem to drive that from Hedvig, also from console. So the two come together on all of this technology, whether it's the suite that I mentioned or the hyper scaler, all of it you can. You can mix and match any way you want with it with a world class user interface or user interfaces if you want command lines. If you want AP ICE will keep it open, all of it to you. In addition, we've got announcements or under Activate Suite on. Recently, we talked about our partnership with Microsoft with the metallic azure sort of combination for customers. So it's ah, it's a left to right set of announcement with simplification threatened right through it. >>Sanjay, you mentioned partnerships. Ah, a little bit before the show, you had, of course, the extended partnership with Microsoft with metallic. Maybe give us just a little bit more color about you know how, Con Volt make sure their position and working closely with those hyper scale >>hours. Yeah, you know, and we work with all the hyper scaler. So, you know, there we are probably the most prevalent data protection technology, if you would in the public cloud. And most of the way we talk about over an exabyte that we've helped customers, right, that the cloud is just one data point we've we've been, you know, seen is from the outside in as being the transport capability across across hybrid cloud scenarios. The partnership, the partnership with Microsoft and Microsoft Azure in particular, is the coming together of these things because customers, when we talk to customers and Microsoft office of customers be here from them, they want the ability to be, if you know, as they get more prevalent in the cloud as their workloads get more more pervasive in the cloud, they want to make sure that the same industrial strength data protection cloud in that they had well while they were on prayer for primarily on Prem. Our solutions are completely hybrid. And so the partnership really brings together again. You know, technology that's engineered better together, our data protection and their their cloud best in class our channels working, working together and making sure that it's easy for customers to work work with us. And we're available on the azure marketplace and our field forces also aligned around it. So it's again a 3 60 kind of conversation that we have with customers as much as much of today's announcements. >>Yeah, Sanjay, you talked about the hyper scale er's. You mentioned that the integration of the Hedwig Solution work with Dev Ops and really the cloud native type solutions. Of course, one of the things everybody's looking at when you were hired to this job is you've got background in the automation in developer world. So you know, how is that scene in the update? The portfolio really that embracing of cloud native and develop our environments? >>Cloud without automation is not a cloud, right? It's just it's just it's just infrastructure that's put somewhere else. It's deep, deep degrees of it off automation that really bring cloud to life. Right? And I was fortunate that have been in the Dev ops world for a while in a market leading with marketing product. And I was very pleasantly surprised when I when I came to convert and sell the deep degrees of automation and work flows that are core technology had, with Hedvig acquisition being a platform layer being the storage layer that is multi protocol and appeals incredibly to Dev Ops engineers because everything in the product you know is call a bill through an A p I for a set of AP eyes. It's it's Richard's got work flows and and it's multi critical. So whether you're using VMC or you're building the next generation container applications or you're just using object storage, it doesn't matter. We can mix and match it across, you know, private and public cloud environments, and it's all culpable and it's all programmable. It's all automated on as much as you want >>it. All right, So, Sanjay, I know we can't talk too much about Financial Piece is where we are in the quarter. But one of the things Dave Volante and I were discussing and looking at Kahn Volt. You know, there's some good data, you know, especially if you look at win rates against some of the some of the newer players in this space that the data that we have from ET R was showing, you know, increased win rates for Con Volt. Just could you give us a little bit of your competitive landscape view you talked about? Customers don't want to take too much risk, you know? How do you balance between being, you know, a company with a large install base? But you want to be, you know, more modern? >>Oh, yeah. And you know, the use cases we're talking about. The cloud that we're seeing those leaders are today's use cases, not yesterday's use cases, and we're winning in the base is the fact that we respect that customers are coming from Okay, There's a lot of stuff that runs that business that is still good. That isn't in the cloud that they're they're working their plants journey from that to something else as well. That's where we're leading in areas where they have it in the public cloud, and we always like to stay 1 to 2 steps ahead of the hard problems our customers going to encounter. So our portfolio is is absolutely cloud ready. Our portfolio is rich in that in that capability, and we're not slowing down. You know, we're winning because we have the breath of technology that we support. Both, You know, source source data that customers want o protect and target scenarios where maybe the hyper scaler or anything else where customers want to take it. And the flexibility, the second thing. And if you heard the interview I did with Run from from Johns Hopkins, it's the optimization off our technology around each of those cloud scenarios that gives our customer's true, you know, true value around the compute and storage decisions they have to make. And we helped them make through deep through deep degrees of AI and ML built in. So so it's not just about moving bits. It's about optimizing all of that on the entire life cycle of that data, from the point it's created to the point. >>Excellent. Well, Sunday. Want to let you have the final word? Give us what you want customers to have as the take away from today's future. Ready event? >>Sure. So, first of all, I wanted to, you know, I want to thank all our our audience here, our customers for being with us. It's being with us as a customer, being looking at us as a prospect for technology. We are investing like, you know, we've invested over a $1,000,000,000 over over a period of time as a company in data protection, and we're taking that to a whole new level with the innovations that we're bringing to the table. So, you know, we truly believe that the journey with as it pertains to data the journey to the cloud requires you to be able to think through the life cycle from storing, protecting, optimizing and using that data all the way through. And our solutions can be used independently. Best of class across each of them or together better together. And, you know, we I I urge you to take a few minutes and look at some of the some of the great innovations we've brought to table and rest assured that everything we're doing eyes with hybrid cloud in mind and is it is completely cloud optimized. >>All right. Well, Sanjay Mirchandani. Thank you so much for joining us. Congratulations to you and the team on the work on the updates. Definitely. Look forward to hearing more in the future. >>Thanks. Too good to be here. >>Alright, stay tuned. We've got more from Con vault Future ready on student a man. And thank you for watching the Cube. Yeah, yeah.
SUMMARY :
Brought to you by combo. Start a little bit, you know, future. So, you know, we've we've given visit The past 18 months, We talk to customers about their adoption of cloud, you know, digital transformation. and the third, you know, the third thing, really that has been propelled into this conversation is you know, some of the people that are now accelerating things you have to quickly say not in the field, you know, and then and then the ecosystem to make the technology available and consumed you had, of course, the extended partnership with Microsoft with metallic. Yeah, you know, and we work with all the hyper scaler. Of course, one of the things everybody's looking at when you were hired We can mix and match it across, you know, You know, there's some good data, you know, especially if you look at win rates against some of the And you know, the use cases we're talking about. Want to let you have the final word? And, you know, we I I urge you to take a few minutes and look at Congratulations to you and the team on Too good to be here. And thank you for watching the Cube.
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Joep Piscaer, TLA Tech | Cloud Native Insights
>>from the >>Cube Studios in Palo Alto in Boston, connecting with thought leaders around the globe. >>These are cloud native insights. Hi, I'm stupid, man. And welcome to Episode one of Cloud Native Insights. So this is a new program brought to you by Silicon Angle Media's The Cube. I am your host stew minimum, and we're going to be digging in to cloud native and, of course, cloud native like cloud before kind of a generic term. If you look at it online, there's a lot of buzzwords. There's a lot of jargon out there, and so we want to help. Understand what? This is what This isn't on And really happy to welcome back to the program to help me kick it off you piss car. He is an industry analyst. His company is T l A Tech. You. Thanks so much for joining us. >>Thanks, Dave. Glad we're >>all right. And one of the reasons I wanted you to help me kick this off. Not only have you been on the Cube, you know your background. I met you when you were the cto of a service provider over there in Europe, where you're Netherlands based. You were did strategy for a very large ah, supermarket chain also. And you've been on the program that shows like docker con in the past. You work in the cloud native space you've done consulting for. Some of the companies will be talking about today. But you help me kick this off a little bit. When you heard here the term cloud native. Does that mean anything to you? Did that mean anything back in your previous roles? You know, help us tee that up. >>So, you know, it kind of gives off a certain direction and where people are going. Right. Um so to me, Cloud native is more about the way you use cloud, not necessarily about the cloud services themselves. So, you know, for instance, I'll take the example of the supermarket. They had a big e commerce presence. And so we were come getting them to a place where they could, in smaller teams, deploy software in a faster, more often and in a safer way so that teams could work independently of each other, work on, you know, adding business value, whatever that may be for any kind of different company. That's a cloud native to me, Connie means using that to the fullest extent, using those services available to you in a way organizationally and culturally. That makes sense to you, you know, Go wherever you need to go. Be that release every hour or, you know, transform your s AP environment to something that is more nimble, more flexible, literally more agile. So what cloud native means so many things to so many people? Because it's immediately is not directly about the technology, but how you actually use it. >>Um, and u Pua and I are in, you know, strong agreement on this thing. One is you've noticed we haven't said kubernetes yet. We haven't talked about containers because cloud native is not about the tooling. We're, you know, strong participants in you know, the CN CF activities. The Cloud Native Computing Foundation, cube con and cloud native is a huge show. Great momentum one. We're big fans of too often people would conflate and they'd say, Oh, cloud native equals. I'm doing containers and I've, you know, deployed kubernetes one of the challenges out there. You talk about companies, you know? Well, you know, I had a cloud first initiative and I'm using multi cloud and all this stuff. It's like, Well, are you actually leveraging these capabilities, or did I shove things in something I'd railed about for the last couple of years? You talk about repatriation, and repatriation is often I went to go do cloud. I didn't really understand what I was doing. I didn't understand how to leverage that stuff. And I crawled back to what I was doing before because I knew how to do that. Well, so, you know, I think you said it really well. Cloud native means I'm taking advantage of the services. I'm doing things in a much more modern way. The thing I've loved talking to practitioners and one of things I want to do on this program absolutely is talk to practitioners is how have you gone through things organizationally, there are lots of things right now. Talk about like, thin ops. And, of course, all the spin off from Dev Ops and Dev SEC ops. And, like, how are we breaking through silos? How we're modernizing our environments, how we're taking advantage of new ways of doing things and new services. So yeah, I guess you You know, there are some really cool tools out there. Those are awesome things. But, you know, I love your viewpoint. Your perspective on often people in tech are like, Hey, I have this really cool new tool that I can use, you know? Can I take advantage of that? You know, do I do things in a new way, or do I just kind of take my old way and just make things maybe a little incrementally better? Hopefully with some new tooling. >>Oh, yeah. I mean, I totally agree. Um, you know, tooling is cool. Let me let me start by saying that I You know, I'm an engineer by heart, so I love tinkering with new new stuff. So I love communities I love. Um, you know that a new terra form released, for instance, I love seeing competition in the container orchestration space. I love driving into K native server lists. You know, all those technologies I like, But it is a matter of, you know, what can you do with them, right. So, for instance, has she corporate line of mine? I work on their hashtag off. Even they offer kind of Ah, not necessarily an alternative, but kind of adjacent approach to you what the CNC F is doing, and even in those cases, and I'm up specifically calling out Hashi Corp. But I'm kind of giving. The broader overview is, um, it doesn't actually matter what to use, Even though it'll help me. It'll make me happy just to play around with them. But those new tools have to mean something. They have to solve a particular problem. You have either in speed of delivery or consistency of delivery or quality of service, the thing you are building for your customers. So it has to mean something. So back in the day when I started out in engineering 15 years ago, a lot of the engineering loss for the sake of engineering just because, you know you could create a piece of infrastructure a little faster, but there was no actual business value to be out there. That's a lot of the engineering kind of was stuck inside of its own realm, or as what you see now is, if you can use terraform and actually get all of you know the potential out of you, it allow you to release offer more quickly because you're able to stand up infrastructure for that software more quickly. And so you know, we've kind of shifted from back in the in the attic or in the basement doing I t. Stuff that no one really understands. The one kind of perceives the business value of it into the realm of okay, If we can deploy this faster or we don't even need to use a server, we can use server lists. Then we have an advantage in the marketplace. You know, whatever marketplace that is, whatever application we're talking about. And so that's the difference to me. And that was that. You know, that's what CN CF is doing to me. That is what has she Corpus is helping build. That is what you know. A lot of companies that built, for instance, a managed kubernetes service. But from nine spectral crowd, all those kinds of companies, they will help, you know, a given customer to speed up their delivery, to not care about the underlying infrastructure anymore. And that's what this is all about to me. And that is what cloud native means use it in a way that I don't actually have to do the toil off the engineering anymore. There's loads of smart people working for, you know, the Big Three cloud vendors. There's loads of people working for those manage service providers, but he's used them so that you can speed up your delivery, create better software created faster, make customers happy. >>Yeah, it's a lot to unpack there. I want to talk a little bit about that landscape, right When you talk about, you know, cloud native, maybe a little compare contrast I think about, you know, the wave of Dev ops and for often people like, you know, Dev Ops. You know, that's a cultural movement. But there's also tooling that I could buy to help me along that weighs automation, you know, going agile methodology. See, I CD are all things that you're like. Well, is this part of Dev Ops, isn't it? There's lots of companies out there that we saw rows rode that wave of Dev ops. And if you talk about cloud native, you know the first thing you know, you start with the cloud providers. So when I hear you talking about, how do we get rid of things that we don't need to worry about? Well, for years, we heard Amazon Web services talk about getting rid of undifferentiated heavy lifting. And it's something that we're huge fans off you talk about. What is the business outcome? It's not. Hey, I went from, you know, a stand alone server to I did virtualized environments. And now I'm looking container ization or serverless. What can I get rid of? How do I take advantage of native services and all of those cloud platforms? One of the huge values there is, it isn't Hey, I deployed this and maybe it's a little bit cheaper and maybe a little better. But there's that that is really the center of where innovation is happening not only from the platform providers they're setting themselves, but from that ecosystem. And I guess I'll put it out there. One of the things I would like to see from Cloud Native should be that I should be able to take care of take advantage of innovation wherever it is. So Cloud Native does not mean it must live in the public cloud. It does not necessarily mean that I'm going, you know, full bore, multi cloud everywhere. I've had some great debates with Corey Quinn, on the Cube Online and the like, because if you look at customer environments today, you know, yes, they absolutely have their data centers. They're leveraging, typically more than one public cloud. SAS is a big part of the picture and then edge computing and pulls everything away into a much more distributed architecture. So, you know, I'm glad you brought up. You know, Hashi, a company you're working with really interesting. And if you talk about cloud native, it's there. They're not trying to get people to, oh, use multiple clouds because it's good for us. It's they. Hey, the reality is that you're probably using multiple clouds, and whether it's one cloud or many clouds or even in your data center, we have a set of tools that we can offer you. So you know, Hashi, you mentioned, you know, terra form vault. You know, the various tooling is that they have open source, you know, big play in this environment, both under the CN CF umbrella and beyond. Give us a little bit as to, you know, where are the interesting places where you see either vendors and technology today, or opportunity to make these solutions better for users. >>So that's an interesting question, because I literally don't know where to begin. The spectrum is so so broad, it's all start off with a joke on this, right? You cannot buy that helps. But the vendors were sure try and sell it to you. So it's kind of where you know, the battle is is raging on its getting foothold into an organization. Um, and you see that? You know, you see companies like, how is she doing that? Um, they started out with open source tooling that kind of move into the enterprise realm. Um, you solve the issues that enterprises usually have, and that's what the club defenders will trying to you as although you know, the kind of kick start you with a free service and then move you up into their their stack. And that's you know, that's where Cloud native is kind of risky because the landscape is so fragmented, it is really hard to figure out. Okay, this tool, it actually solves my use case versus this one doesn't. But again, it's in the ecosystem in this ecosystem already, so let's let's still use it just because it's easier. Um, but it does boil the disk a lot of the discussion down into. Basically, it's a friction. How much effort does it take to start using something? Because that's where and that's basically the issues enterprises are trying to solve. It's around friction, and it used to be friction around, you know, buying servers and then kind of being stuck with him for 4 to 5 years. But now it is the vendor lock in where people in organizations have to make tough decisions. You know, what ecosystems am I going to buy into it? It's It's also where a lot of the multi cloud marketing comes from on the way down to get you into a specific ecosystem on your end companies kind of filling that gap, helping you manage that complexity and how she corpus is one of those examples in my book that help you manage that multi cloud ah challenge. So but yeah, But it is all part of that discussion around friction. >>Yeah, and I guess I would start if you say, as you said, it is such a broad spectrum out there. If you look in the developer tooling marketplace is, there's lots of people that have, you know, landscapes out there. So CN cf even has a great landscape. And you know, things like Security, you no matter wherever I am and everywhere that I am. And there's a lot of effort to try to make sure that I can have something that spans across the environment. Of course, Security, you know, huge issue in general. And right now, Cohen, 19. The global pandemic coming on has been, you know, putting a spotlight on it even more. We know shared responsibility models where security needs to be. Data is at the center of what we're talking about when we've been talking for years about companies going through their transformation, I hadn't talked about, you know, digital transformation. What that means is, at the end of the day, you need to be data driven. So there's lots of companies, you know, big movement and things like ml ops. How can I actually harness my data? I said one of the things I think we got out of the whole big data wave. It was that bit flip from, Oh my God, their data everywhere. And maybe that's a challenge for me. It now becomes an opportunity and often times somewhere that I can have new value or even new business models that we can create around data. So, you know, data security on and everyone is modernizing. So, you know, worry a bit that there is sometimes, you know, cloud native washing. You know, just like everything else. It's, you know, cloud enabled. You know, ai ready from an infrastructure standpoint, you know, how much are you actually leveraging Cloud native? The bar, we always said, is, you know, if you're putting something in your data center, how does that compare against what I could get if I'm doing aws azure or Google type of environment? So I have seen good progress over the last couple of years in what we used to call it Private Cloud. And now it's more Ah, hybrid environment or multi cloud. And it looks and acts and is managed much more like the public cloud at a lot of that. Is that driver for developers? So you know Palmer, you know, developers, developers, developers, you know, absolutely. He was right as to how important that is. And one of the things I've been a little bit hardened at is it used to be. You talked about the enterprise and while the developers were off in the corner and, you know, we need to think about them and help enable them. But now, like the Dev Ops movement, we're trying to break down those silos. You know, developers are much more in the workflow. When I look at tools out there not only get hub, you know, you talked about Hashi, you know, get lab answerable and others. Often they have ways to have nothing to developers. The product owners and others all get visibility into it. Because if you can get, you know, people in the organization all accessing the same work stream the way that they need to have it there. There's goodness there. So I guess final question I have for you is you know, what advice do we have for practitioners themselves? Often, the question is, how do I get from where I've been? So where I'm going, This whole discussion of Cloud native is you know, we spent more than a decade talking about cloud, and it was often the kind of where in the movement and the like So what? I want to tee up with cloud native is discussion, really for the next decade. And you know, if I'm, you know, a c i o If I'm in, i t how do I make sure that I'm ready for these next opportunities while still managing? You know what I have in my own environment. >>So that kind of circles back to where we started this discussion, right? Cloud native and Dev ops and a couple of those methodologies they're not actually about the tooling. They are about what to do with them. Can you leverage them to achieve a goal? And so my biggest advice is Look for that goal. First, have something toward towards because if you have a problem, the solution will present itself. Um, and I'm not saying go look for a problem. The problems, they're already It's a matter of, um, you know, articulating that problem in a way that your developers will actually understand what to do. And then they will go and find the tools that are needed to solve that particular problem. And so we turn this around in a sense that so finally, we are at a point where we can have business problems. Actually, solved by I t in a way that doesn't require, you know, millions of upfront investment or, you know, consultants from an outside company. Your developers are now able to start solving those problems, and it will maybe take a while. They may need some outside help Teoh to figure some stuff out, But the point is, we can now use you know, these cloud resource is these cloud native services in such a small, practical way that we can actually start solving these business problems in a real way. >>Yeah, you actually, earlier this year I've done a series of interviews getting ready for this type of environment. You know, one of the areas I spent a bunch of time trying to dig in. And to be frank, understand has been server lists. So, you know, people very excited about server lists. You know, one of the dynamics always is, You know, everything we're talking about with containers and kubernetes driving them to think about that. I always looked as container ization was kind of moving up the stack in making infrastructure easier. The work for applications, but something like serverless it comes, top down. It's it's more of not the tooling, but how do I build those applications in those environments and not need to think at least as much about the infrastructure? So server lists Absolutely something we will cover, you know, containers, kubernetes what I'm looking for. Always love practitioners love to somebody. You you've been, you know, in that end, user it before startups. Absolutely. We'll be talking to as well as other people you know, in the ecosystem that you want to help, have discussions, have debates. You know, we don't have, you know, a strong. You know, this is the agenda that we have for cloud native, but I really want to help facilitate the dialogue. So I'll give you a final word here. Anything You know, what's exciting you these days when you talk to your peers out there, you know, in general, you know, it can be some tools, even though we understand tools are only a piece of it or any other final tips that you have in this market >>space. Well, I want to kind of go go forward on on your statement earlier about server lists without calling, You know, any specific serverless technology out there specifically, but you're looking at those technologies you'll see, But we're now able to solve those business problems. Um, without actually even needing I t right. So no code low code platforms are very adjacent to you to do serverless movement. Um, and that's where you know, that's what really excites me of this at this point, simply because, you know, we no longer need actual hardcore engineering as a trait Teoh use i t to move the needle forward. And that's what I love about the cloud native movement that it used to be hard. And it's getting simpler in a way also more complex in a way. What we're paying someone else Teoh to solve those issues. So I'm excited to see where you know, no code low code survivalism those the kinds of technologies will take us in the next decade. >>Absolutely wonderful. When you have technology that makes it more globally accessible There, obviously, you know, large generational shifts happening in the workforce. You Thank you so much for joining us, >>actually, Sue. >>All right. And I guess the final call to action really is We are looking for those guests out there, so, you know, practitioners, startups people that have a strong viewpoint. You can reach out to me. My emails just stew Stu at silicon angle dot com where you can hit me up on the twitters. I'm just at stew on there. Also. Eso thank you so much for joining us. Planning to do these in General Weekly cadence. You'll find the articles that go along with these on silicon angle dot com. Of course. All the video on the cube dot net I'm stew minimum in and love to hear more about your cloud Native insights >>Yeah, yeah, yeah, yeah, yeah
SUMMARY :
on And really happy to welcome back to the program to help me kick it off you piss And one of the reasons I wanted you to help me kick this off. of each other, work on, you know, adding business value, whatever that may be for any kind Well, so, you know, I think you said it really well. That's a lot of the engineering kind of was stuck inside of its own realm, or as what you see You know, the various tooling is that they have open source, you know, So it's kind of where you know, the battle is is raging on its And you know, if I'm, you know, a c i o If I'm But the point is, we can now use you know, these cloud resource is these cloud native services You know, we don't have, you know, a strong. So I'm excited to see where you know, no code low code survivalism those the obviously, you know, large generational shifts happening in the workforce. so, you know, practitioners, startups people that have a strong viewpoint.
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Ajay Vohora, Io Tahoe | Enterprise Data Automation
>>from around the globe. It's the Cube with digital coverage of enterprise data automation an event Siri's brought to you by Iot. Tahoe. >>Okay, we're back. Welcome back to data Automated. A J ahora is CEO of I o Ta ho, JJ. Good to see you. How have things in London? >>Big thing. Well, thinking well, where we're making progress, I could see you hope you're doing well and pleasure being back here on the Cube. >>Yeah, it's always great to talk to. You were talking enterprise data automation. As you know, with within our community, we've been pounding the whole data ops conversation. Little different, though. We're gonna We're gonna dig into that a little bit. But let's start with a J how you've seen the response to Covert and I'm especially interested in the role that data has played in this pandemic. >>Yeah, absolutely. I think everyone's adapting both essentially, um, and and in business, the customers that I speak to on day in, day out that we partner with, um they're busy adapting their businesses to serve their customers. It's very much a game of and showing the week and serve our customers to help their customers um, you know, the adaptation that's happening here is, um, trying to be more agile, kind of the most flexible. Um, a lot of pressure on data. A lot of demand on data and to deliver more value to the business, too. Serve that customer. >>Yeah. I mean, data machine intelligence and cloud, or really three huge factors that have helped organizations in this pandemic. And, you know, the machine intelligence or AI piece? That's what automation is all about. How do you see automation helping organizations evolve maybe faster than they thought they might have to >>Sure. I think the necessity of these times, um, there's there's a says a lot of demand doing something with data data. Uh huh. A lot of a lot of businesses talk about being data driven. Um, so interesting. I sort of look behind that when we work with our customers, and it's all about the customer. You know, the mic is cios invested shareholders. The common theme here is the customer. That customer experience starts and ends with data being able to move from a point that is reacting. So what the customer is expecting and taking it to that step forward where you can be proactive to serve what that customer's expectation to and that's definitely come alive now with they, um, the current time. >>Yes. So, as I said, we've been talking about data ops a lot. The idea being Dev Ops applied to the data pipeline. But talk about enterprise data automation. What is it to you and how is it different from data off? >>Yeah, Great question. Thank you. I am. I think we're all familiar with felt more more awareness around. So as it's applied, Teoh, uh, processes methodologies that have become more mature of the past five years around devil that managing change, managing an application, life cycles, managing software development data about, you know, has been great. But breaking down those silos between different roles functions and bringing people together to collaborate. Andi, you know, we definitely see that those tools, those methodologies, those processes, that kind of thinking, um, landing itself to data with data is exciting. We're excited about that, Andi shifting the focus from being I t versus business users to you know who are the data producers. And here the data consumers in a lot of cases, it concert in many different lines of business. So in data role, those methods those tools and processes well we look to do is build on top of that with data automation. It's the is the nuts and bolts of the the algorithms, the models behind machine learning that the functions. That's where we investors our R and D and bringing that in to build on top of the the methods, the ways of thinking that break down those silos on injecting that automation into the business processes that are going to drive a business to serve its customers. It's, um, a layer beyond Dev ops data ops. They can get to that point where well, I think about it is, Is the automation behind the automation we can take? I'll give you an example. Okay, a bank where we did a lot of work to do make move them into accelerating that digital transformation. And what we're finding is that as we're able to automate the jobs related to data a managing that data and serving that data that's going into them as a business automating their processes for their customer. Um, so it's it's definitely having a compound effect. >>Yeah, I mean I think that you did. Data ops for a lot of people is somewhat new to the whole Dev Ops. The data ops thing is is good and it's a nice framework. Good methodology. There is obviously a level of automation in there and collaboration across different roles. But it sounds like you're talking about so supercharging it, if you will, the automation behind the automation. You know, I think organizations talk about being data driven. You hear that? They have thrown around a lot of times. People sit back and say, We don't make decisions without data. Okay? But really, being data driven is there's a lot of aspects there. There's cultural, but it's also putting data at the core of your organization, understanding how it effects monetization. And, as you know, well, silos have been built up, whether it's through M and a, you know, data sprawl outside data sources. So I'm interested in your thoughts on what data driven means and specifically Hi, how Iot Tahoe plays >>there. Yeah, I'm sure we'll be happy. That look that three David, we've We've come a long way in the last four years. We started out with automating some of those simple, um, to codify. Um, I have a high impact on organization across the data, a data warehouse. There's data related tasks that classify data on and a lot of our original pattern. Senai people value that were built up is is very much around. They're automating, classifying data across different sources and then going out to so that for some purpose originally, you know, some of those simpler I'm challenges that we have. Ah, custom itself, um, around data privacy. You know, I've got a huge data lake here. I'm a telecoms business. I've got millions of six subscribers. Um, quite often the chief data office challenges. How do I cover the operational risk? Where, um, I got so much data I need to simplify my approach to automating, classifying that data. Recent is you can't do that manually. We can for people at it. And the the scale of that is is prohibitive, right? Often, if you had to do it manually by the time you got a good picture of it, it's already out of date. Then, starting with those those simple challenges that we've been able to address, we're then going on and build on that to say, What else do we serve? What else do we serve? The chief data officer, Chief marketing officer on the CFO. Within these times, um, where those decision makers are looking for having a lot of choices in the platform options that they say that the tooling they're very much looking for We're that Swiss army. Not being able to do one thing really well is is great, but more more. Where that cost pressure challenge is coming in is about how do we, um, offer more across the organization, bring in those business lines of business activities that depend on data to not just with a T. Okay, >>so we like the cube. Sometimes we like to talk about Okay, what is it? And then how does it work? And what's the business impact? We kind of covered what it is but love to get into the tech a little bit in terms of how it works. And I think we have a graphic here that gets into that a little bit. So, guys, if you bring that up, I wonder if you could tell us and what is the secret sauce behind Iot Tahoe? And if you could take us through this slot. >>Sure. I mean, right there in the middle that the heart of what we do It is the intellectual property. Yeah, that was built up over time. That takes from Petra genius data sources Your Oracle relational database, your your mainframe. If they lay in increasingly AP eyes and devices that produce data and that creates the ability to automatically discover that data, classify that data after it's classified them have the ability to form relationships across those different, uh, source systems, silos, different lines of business. And once we've automated that that we can start to do some cool things that just puts a contact and meaning around that data. So it's moving it now from bringing data driven on increasingly well. We have really smile, right people in our customer organizations you want do some of those advanced knowledge tasks, data scientists and, uh, quants in some of the banks that we work with. The the onus is on, then, putting everything we've done there with automation, pacifying it, relationship, understanding that equality policies that you apply to that data. I'm putting it in context once you've got the ability to power. A a professional is using data, um, to be able to put that data and contacts and search across the entire enterprise estate. Then then they can start to do some exciting things and piece together the tapestry that fabric across that different systems could be crm air P system such as s AP on some of the newer cloud databases that we work with. Snowflake is a great Well, >>yes. So this is you're describing sort of one of the one of the reasons why there's so many stove pipes and organizations because data is gonna locked in the silos of applications. I also want to point out, you know, previously to do discovery to do that classification that you talked about form those relationship to glean context from data. A lot of that, if not most of that in some cases all that would have been manual. And of course, it's out of date so quickly. Nobody wants to do it because it's so hard. So this again is where automation comes into the the the to the idea of really becoming data driven. >>Sure. I mean the the efforts. If we if I look back, maybe five years ago, we had a prevalence of daily technologies at the cutting edge. Those have said converging me to some of these cloud platforms. So we work with Google and AWS, and I think very much is, as you said it, those manual attempts to try and grasp. But it is such a complex challenge at scale. I quickly runs out of steam because once, um, once you've got your hat, once you've got your fingers on the details Oh, um, what's what's in your data estate? It's changed, you know, you've onboard a new customer. You signed up a new partner, Um, customer has no adopted a new product that you just Lawrence and there that that slew of data it's keeps coming. So it's keeping pace with that. The only answer really is is some form of automation. And what we found is if we can tie automation with what I said before the expertise the, um, the subject matter expertise that sometimes goes back many years within an organization's people that augmentation between machine learning ai on and on that knowledge that sits within inside the organization really tends to involve a lot of value in data? >>Yes, So you know Well, a J you can't be is a smaller company, all things to all people. So your ecosystem is critical. You working with AWS? You're working with Google. You got red hat. IBM is as partners. What is attracting those folks to your ecosystem and give us your thoughts on the importance of ecosystem? >>Yeah, that's that's fundamental. So I mean, when I caimans, we tell her here is the CEO of one of the, um, trends that I wanted us to to be part of was being open, having an open architecture that allowed one thing that was nice to my heart, which is as a CEO, um, a C I O where you've got a budget vision and you've already made investments into your organization, and some of those are pretty long term bets. They should be going out 5 10 years, sometimes with CRM system training up your people, getting everybody working together around a common business platform. What I wanted to ensure is that we could openly like it using ap eyes that were available, the love that some investment on the cost that has already gone into managing in organizations I t. But business users to before So part of the reason why we've been able to be successful with, um, the partners like Google AWS and increasingly, a number of technology players. That red hat mongo DB is another one where we're doing a lot of good work with, um, and snowflake here is, um it's those investments have been made by the organizations that are our customers, and we want to make sure we're adding to that, and they're leveraging the value that they've already committed to. >>Okay, so we've talked about kind of what it is and how it works, and I want to get into the business impact. I would say what I would be looking for from from this would be Can you help me lower my operational risk? I've got I've got tasks that I do many year sequential, some who are in parallel. But can you reduce my time to task? And can you help me reduce the labor intensity and ultimately, my labor costs? And I put those resources elsewhere, and ultimately, I want to reduce the end and cycle time because that is going to drive Telephone number R. A. Y So, um, I missing anything? Can you do those things? And maybe you could give us some examples of the tiara y and the business impact. >>Yeah. I mean, the r a y David is is built upon on three things that I mentioned is a combination off leveraging the existing investment with the existing state, whether that's home, Microsoft, Azure or AWS or Google IBM. And I'm putting that to work because, yeah, the customers that we work with have had made those choices. On top of that, it's, um, is ensuring that we have you got the automation that is working right down to the level off data, a column level or the file level so we don't do with meta data. It is being very specific to be at the most granular level. So as we've grown our processes and on the automation, gasification tagging, applying policies from across different compliance and regulatory needs, that an organization has to the data, everything that then happens downstream from that is ready to serve a business outcome. It could be a customer who wants that experience on a mobile device. A tablet oh, face to face within, within the store. I mean game. Would you provision the right data and enable our customers do that? But their customers, with the right data that they can trust at the right time, just in that real time moment where decision or an action is being expected? That's, um, that's driving the r a y two b in some cases, 20 x but and that's that's really satisfying to see that that kind of impact it is taking years down to months and in many cases, months of work down to days. In some cases, our is the time to value. I'm I'm impressed with how quickly out of the box with very little training a customer and think about, too. And you speak just such a search. They discovery knowledge graph on DM. I don't find duplicates. Onda Redundant data right off the bat within hours. >>Well, it's why investors are interested in this space. I mean, they're looking for a big, total available market. They're looking for a significant return. 10 X is you gotta have 10 x 20 x is better. So so that's exciting and obviously strong management and a strong team. I want to ask you about people and culture. So you got people process technology we've seen with this pandemic that processes you know are really unpredictable. And the technology has to be able to adapt to any process, not the reverse. You can't force your process into some static software, so that's very, very important. But the end of the day you got to get people on board. So I wonder if you could talk about this notion of culture and a data driven culture. >>Yeah, that's that's so important. I mean, current times is forcing the necessity of the moment to adapt. But as we start to work their way through these changes on adapt ah, what with our customers, But that is changing economic times. What? What we're saying here is the ability >>to I >>have, um, the technology Cartman, in a really smart way, what those business uses an I T knowledge workers are looking to achieve together. So I'll give you an example. We have quite often with the data operations teams in the companies that we, um, partnering with, um, I have a lot of inbound enquiries on the day to day level. I really need this set of data they think it can help my data scientists run a particular model? Or that what would happen if we combine these two different silence of data and gets the Richmond going now, those requests you can, sometimes weeks to to realize what we've been able to do with the power is to get those answers being addressed by the business users themselves. And now, without without customers, they're coming to the data. And I t folks saying, Hey, I've now built something in the development environment. Why don't we see how that can scale up with these sets of data? I don't need terabytes of it. I know exactly the columns and the feet in the data that I'm going to use on that gets seller wasted in time, um, angle to innovate. >>Well, that's huge. I mean, the whole notion of self service and the lines of business actually feeling like they have ownership of the data as opposed to, you know, I t or some technology group owning the data because then you've got data quality issues or if it doesn't line up there their agenda, you're gonna get a lot of finger pointing. So so that is a really important. You know a piece of it. I'll give you last word A J. Your final thoughts, if you would. >>Yeah, we're excited to be the only path. And I think we've built great customer examples here where we're having a real impact in in a really fast pace, whether it helping them migrate to the cloud, helping the bean up their legacy, Data lake on and write off there. Now the conversation is around data quality as more of the applications that we enable to a more efficiently could be data are be a very robotic process automation along the AP, eyes that are now available in the cloud platforms. A lot of those they're dependent on data quality on and being able to automate. So business users, um, to take accountability off being able to so look at the trend of their data quality over time and get the signals is is really driving trust. And that trust in data is helping in time. Um, the I T teams, the data operations team, with do more and more quickly that comes back to culture being out, supply this technology in such a way that it's visual insensitive. Andi. How being? Just like Dev Ops tests with with a tty Dave drops putting intelligence in at the data level to drive that collaboration. We're excited, >>you know? You remind me of something. I lied. I don't want to go yet. It's OK, so I know we're tight on time, but you mentioned migration to the cloud. And I'm thinking about conversation with Paula from Webster Webster. Bank migrations. Migrations are, you know, they're they're a nasty word for for organizations. So our and we saw this with Webster. How are you able to help minimize the migration pain and and why is that something that you guys are good at? >>Yeah. I mean, there were many large, successful companies that we've worked with. What's There's a great example where, you know, I'd like to give you the analogy where, um, you've got a lot of people in your teams if you're running a business as a CEO on this bit like a living living grade. But imagine if those different parts of your brain we're not connected, that with, um, so diminish how you're able to perform. So what we're seeing, particularly with migration, is where banks retailers. Manufacturers have grown over the last 10 years through acquisition on through different initiatives, too. Um, drive customer value that sprawl in their data estate hasn't been fully dealt with. It sometimes been a good thing, too. Leave whatever you're fired off the agent incent you a side by side with that legacy mainframe on your oracle, happy and what we're able to do very quickly with that migration challenges shine a light on all the different parts. Oh, data application at the column level or higher level if it's a day late and show an enterprise architect a CDO how everything's connected, where they may not be any documentation. The bright people that created some of those systems long since moved on or retired or been promoted into so in the rose on within days, being out to automatically generate Anke refreshed the states of that data across that man's game on and put it into context, then allows you to look at a migration from a confidence that you did it with the back rather than what we've often seen in the past is teams of consultant and business analysts. Data around this spend months getting an approximation and and a good idea of what it could be in the current state and try their very best to map that to the future Target state. Now, without all hoping out, run those processes within hours of getting started on, um well, that picture visualize that picture and bring it to life. You know, the Yarra. Why, that's off the bat with finding data that should have been deleted data that was copies off on and being able to allow the architect whether it's we're working on gcb or migration to any other clouds such as AWS or a multi cloud landscape right now with yeah, >>that visibility is key. Teoh sort of reducing operational risks, giving people confidence that they can move forward and being able to do that and update that on an ongoing basis, that means you can scale a J. Thanks so much for coming on the Cube and sharing your insights and your experience is great to have >>you. Thank you, David. Look towards smoking in. >>Alright, keep it right there, everybody. We're here with data automated on the Cube. This is Dave Volante and we'll be right back. Short break. >>Yeah, yeah, yeah, yeah
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enterprise data automation an event Siri's brought to you by Iot. Good to see you. Well, thinking well, where we're making progress, I could see you hope As you know, with within A lot of demand on data and to deliver more value And, you know, the machine intelligence I sort of look behind that What is it to you that automation into the business processes that are going to drive at the core of your organization, understanding how it effects monetization. that for some purpose originally, you know, some of those simpler I'm challenges And if you could take us through this slot. produce data and that creates the ability to that you talked about form those relationship to glean context from data. customer has no adopted a new product that you just Lawrence those folks to your ecosystem and give us your thoughts on the importance of ecosystem? that are our customers, and we want to make sure we're adding to that, that is going to drive Telephone number R. A. Y So, um, And I'm putting that to work because, yeah, the customers that we work But the end of the day you got to get people on board. necessity of the moment to adapt. I have a lot of inbound enquiries on the day to day level. of the data as opposed to, you know, I t or some technology group owning the data intelligence in at the data level to drive that collaboration. is that something that you guys are good at? I'd like to give you the analogy where, um, you've got a lot of people giving people confidence that they can move forward and being able to do that and update We're here with data automated on the Cube.
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Enterprise Data Automation | Crowdchat
>>from around the globe. It's the Cube with digital coverage of enterprise data automation, an event Siri's brought to you by Iot. Tahoe Welcome everybody to Enterprise Data Automation. Ah co created digital program on the Cube with support from my hotel. So my name is Dave Volante. And today we're using the hashtag data automated. You know, organizations. They really struggle to get more value out of their data, time to data driven insights that drive cost savings or new revenue opportunities. They simply take too long. So today we're gonna talk about how organizations can streamline their data operations through automation, machine intelligence and really simplifying data migrations to the cloud. We'll be talking to technologists, visionaries, hands on practitioners and experts that are not just talking about streamlining their data pipelines. They're actually doing it. So keep it right there. We'll be back shortly with a J ahora who's the CEO of Iot Tahoe to kick off the program. You're watching the Cube, the leader in digital global coverage. We're right back right after this short break. Innovation impact influence. Welcome to the Cube disruptors. Developers and practitioners learn from the voices of leaders who share their personal insights from the hottest digital events around the globe. Enjoy the best this community has to offer on the Cube, your global leader. High tech digital coverage from around the globe. It's the Cube with digital coverage of enterprise, data, automation and event. Siri's brought to you by Iot. Tahoe. Okay, we're back. Welcome back to Data Automated. A J ahora is CEO of I O ta ho, JJ. Good to see how things in London >>Thanks doing well. Things in, well, customers that I speak to on day in, day out that we partner with, um, they're busy adapting their businesses to serve their customers. It's very much a game of ensuring the week and serve our customers to help their customers. Um, you know, the adaptation that's happening here is, um, trying to be more agile. Got to be more flexible. Um, a lot of pressure on data, a lot of demand on data and to deliver more value to the business, too. So that customers, >>as I said, we've been talking about data ops a lot. The idea being Dev Ops applied to the data pipeline, But talk about enterprise data automation. What is it to you. And how is it different from data off >>Dev Ops, you know, has been great for breaking down those silos between different roles functions and bring people together to collaborate. Andi, you know, we definitely see that those tools, those methodologies, those processes, that kind of thinking, um, lending itself to data with data is exciting. We look to do is build on top of that when data automation, it's the it's the nuts and bolts of the the algorithms, the models behind machine learning that the functions. That's where we investors, our r and d on bringing that in to build on top of the the methods, the ways of thinking that break down those silos on injecting that automation into the business processes that are going to drive a business to serve its customers. It's, um, a layer beyond Dev ops data ops. They can get to that point where well, I think about it is is the automation behind new dimension. We've come a long way in the last few years. Boy is, we started out with automating some of those simple, um, to codify, um, I have a high impact on organization across the data a cost effective way house. There's data related tasks that classify data on and a lot of our original pattern certain people value that were built up is is very much around that >>love to get into the tech a little bit in terms of how it works. And I think we have a graphic here that gets into that a little bit. So, guys, if you bring that up, >>sure. I mean right there in the middle that the heart of what we do it is, you know, the intellectual property now that we've built up over time that takes from Hacha genius data sources. Your Oracle Relational database. Short your mainframe. It's a lay and increasingly AP eyes and devices that produce data and that creates the ability to automatically discover that data. Classify that data after it's classified. Them have the ability to form relationships across those different source systems, silos, different lines of business. And once we've automated that that we can start to do some cool things that just puts of contact and meaning around that data. So it's moving it now from bringing data driven on increasingly where we have really smile, right people in our customer organizations you want I do some of those advanced knowledge tasks data scientists and ah, yeah, quants in some of the banks that we work with, the the onus is on, then, putting everything we've done there with automation, pacifying it, relationship, understanding that equality, the policies that you can apply to that data. I'm putting it in context once you've got the ability to power. Okay, a professional is using data, um, to be able to put that data and contacts and search across the entire enterprise estate. Then then they can start to do some exciting things and piece together the the tapestry that fabric across that different system could be crm air P system such as s AP and some of the newer brown databases that we work with. Snowflake is a great well, if I look back maybe five years ago, we had prevalence of daily technologies at the cutting edge. Those are converging to some of the cloud platforms that we work with Google and AWS and I think very much is, as you said it, those manual attempts to try and grasp. But it is such a complex challenges scale quickly runs out of steam because once, once you've got your hat, once you've got your fingers on the details Oh, um, what's what's in your data state? It's changed, You know, you've onboard a new customer. You signed up a new partner. Um, customer has, you know, adopted a new product that you just Lawrence and there that that slew of data keeps coming. So it's keeping pace with that. The only answer really is is some form of automation >>you're working with AWS. You're working with Google, You got red hat. IBM is as partners. What is attracting those folks to your ecosystem and give us your thoughts on the importance of ecosystem? >>That's fundamental. So, I mean, when I caimans where you tell here is the CEO of one of the, um, trends that I wanted us CIO to be part of was being open, having an open architecture allowed one thing that was close to my heart, which is as a CEO, um, a c i o where you go, a budget vision on and you've already made investments into your organization, and some of those are pretty long term bets. They should be going out 5 10 years, sometimes with the CRM system training up your people, getting everybody working together around a common business platform. What I wanted to ensure is that we could openly like it using AP eyes that were available, the love that some investment on the cost that has already gone into managing in organizations I t. But business users to before. So part of the reason why we've been able to be successful with, um, the partners like Google AWS and increasingly, a number of technology players. That red hat mongo DB is another one where we're doing a lot of good work with, um and snowflake here is, um Is those investments have been made by the organizations that are our customers, and we want to make sure we're adding to that. And they're leveraging the value that they've already committed to. >>Yeah, and maybe you could give us some examples of the r A y and the business impact. >>Yeah, I mean, the r a y David is is built upon on three things that I mentioned is a combination off. You're leveraging the existing investment with the existing estate, whether that's on Microsoft Azure or AWS or Google, IBM, and I'm putting that to work because, yeah, the customers that we work with have had made those choices. On top of that, it's, um, is ensuring that we have got the automation that is working right down to the level off data, a column level or the file level we don't do with meta data. It is being very specific to be at the most granular level. So as we've grown our processes and on the automation, gasification tagging, applying policies from across different compliance and regulatory needs that an organization has to the data, everything that then happens downstream from that is ready to serve a business outcome now without hoping out which run those processes within hours of getting started And, um, Bill that picture, visualize that picture and bring it to life. You know, the PR Oh, I that's off the bat with finding data that should have been deleted data that was copies off on and being able to allow the architect whether it's we're working on GCB or a migration to any other clouds such as AWS or a multi cloud landscape right off the map. >>A. J. Thanks so much for coming on the Cube and sharing your insights and your experience is great to have you. >>Thank you, David. Look who is smoking in >>now. We want to bring in the customer perspective. We have a great conversation with Paul Damico, senior vice president data architecture, Webster Bank. So keep it right there. >>Utah Data automated Improve efficiency, Drive down costs and make your enterprise data work for you. Yeah, we're on a mission to enable our customers to automate the management of data to realise maximum strategic and operational benefits. We envisage a world where data users consume accurate, up to date unified data distilled from many silos to deliver transformational outcomes, activate your data and avoid manual processing. Accelerate data projects by enabling non I t resources and data experts to consolidate categorize and master data. Automate your data operations Power digital transformations by automating a significant portion of data management through human guided machine learning. Yeah, get value from the start. Increase the velocity of business outcomes with complete accurate data curated automatically for data, visualization tours and analytic insights. Improve the security and quality of your data. Data automation improves security by reducing the number of individuals who have access to sensitive data, and it can improve quality. Many companies report double digit era reduction in data entry and other repetitive tasks. Trust the way data works for you. Data automation by our Tahoe learns as it works and can ornament business user behavior. It learns from exception handling and scales up or down is needed to prevent system or application overloads or crashes. It also allows for innate knowledge to be socialized rather than individualized. No longer will your companies struggle when the employee who knows how this report is done, retires or takes another job, the work continues on without the need for detailed information transfer. Continue supporting the digital shift. Perhaps most importantly, data automation allows companies to begin making moves towards a broader, more aspirational transformation, but on a small scale but is easy to implement and manage and delivers quick wins. Digital is the buzzword of the day, but many companies recognized that it is a complex strategy requires time and investment. Once you get started with data automation, the digital transformation initiated and leaders and employees alike become more eager to invest time and effort in a broader digital transformational agenda. Yeah, >>everybody, we're back. And this is Dave Volante, and we're covering the whole notion of automating data in the Enterprise. And I'm really excited to have Paul Damico here. She's a senior vice president of enterprise Data Architecture at Webster Bank. Good to see you. Thanks for coming on. >>Nice to see you too. Yes. >>So let's let's start with Let's start with Webster Bank. You guys are kind of a regional. I think New York, New England, uh, leave headquartered out of Connecticut, but tell us a little bit about the >>bank. Yeah, Webster Bank is regional, Boston. And that again in New York, Um, very focused on in Westchester and Fairfield County. Um, they're a really highly rated bank regional bank for this area. They, um, hold, um, quite a few awards for the area for being supportive for the community. And, um, are really moving forward. Technology lives. Currently, today we have, ah, a small group that is just working toward moving into a more futuristic, more data driven data warehouse. That's our first item. And then the other item is to drive new revenue by anticipating what customers do when they go to the bank or when they log into there to be able to give them the best offer. The only way to do that is you have timely, accurate, complete data on the customer and what's really a great value on off something to offer that >>at the top level, what were some of what are some of the key business drivers there catalyzing your desire for change >>the ability to give the customer what they need at the time when they need it? And what I mean by that is that we have, um, customer interactions and multiple weights, right? And I want to be able for the customer, too. Walk into a bank, um, or online and see the same the same format and being able to have the same feel, the same look and also to be able to offer them the next best offer for them. >>Part of it is really the cycle time, the end end cycle, time that you're pressing. And then there's if I understand it, residual benefits that are pretty substantial from a revenue opportunity >>exactly. It's drive new customers, Teoh new opportunities. It's enhanced the risk, and it's to optimize the banking process and then obviously, to create new business. Um, and the only way we're going to be able to do that is that we have the ability to look at the data right when the customer walks in the door or right when they open up their app. >>Do you see the potential to increase the data sources and hence the quality of the data? Or is that sort of premature? >>Oh, no. Um, exactly. Right. So right now we ingest a lot of flat files and from our mainframe type of runnin system that we've had for quite a few years. But now that we're moving to the cloud and off Prem and on France, you know, moving off Prem into, like, an s three bucket Where that data king, we can process that data and get that data faster by using real time tools to move that data into a place where, like, snowflake Good, um, utilize that data or we can give it out to our market. The data scientists are out in the lines of business right now, which is great, cause I think that's where data science belongs. We should give them on, and that's what we're working towards now is giving them more self service, giving them the ability to access the data in a more robust way. And it's a single source of truth. So they're not pulling the data down into their own like tableau dashboards and then pushing the data back out. I have eight engineers, data architects, they database administrators, right, um, and then data traditional data forwarding people, Um, and because some customers that I have that our business customers lines of business, they want to just subscribe to a report. They don't want to go out and do any data science work. Um, and we still have to provide that. So we still want to provide them some kind of read regiment that they wake up in the morning and they open up their email. And there's the report that they just drive, um, which is great. And it works out really well. And one of the things. This is why we purchase I o waas. I would have the ability to give the lines of business the ability to do search within the data, and we read the data flows and data redundancy and things like that and help me cleanup the data and also, um, to give it to the data. Analysts who say All right, they just asked me. They want this certain report and it used to take Okay, well, we're gonna four weeks, we're going to go. We're gonna look at the data, and then we'll come back and tell you what we dio. But now with Iot Tahoe, they're able to look at the data and then, in one or two days of being able to go back and say, Yes, we have data. This is where it is. This is where we found that this is the data flows that we've found also, which is what I call it is the birth of a column. It's where the calm was created and where it went live as a teenager. And then it went to, you know, die very archive. >>In researching Iot Tahoe, it seems like one of the strengths of their platform is the ability to visualize data the data structure, and actually dig into it. But also see it, um, and that speeds things up and gives everybody additional confidence. And then the other pieces essentially infusing ai or machine intelligence into the data pipeline is really how you're attacking automation, right? >>Exactly. So you're able to let's say that I have I have seven cause lines of business that are asking me questions. And one of the questions I'll ask me is, um, we want to know if this customer is okay to contact, right? And you know, there's different avenues so you can go online to go. Do not contact me. You can go to the bank And you could say, I don't want, um, email, but I'll take tests and I want, you know, phone calls. Um, all that information. So seven different lines of business asked me that question in different ways once said Okay to contact the other one says, You know, just for one to pray all these, you know, um, and each project before I got there used to be siloed. So one customer would be 100 hours for them to do that and analytical work, and then another cut. Another of analysts would do another 100 hours on the other project. Well, now I can do that all at once, and I can do those type of searches and say yes we already have that documentation. Here it is. And this is where you can find where the customer has said, You know, you don't want I don't want to get access from you by email, or I've subscribed to get emails from you. I'm using Iot typos eight automation right now to bring in the data and to start analyzing the data close to make sure that I'm not missing anything and that I'm not bringing over redundant data. Um, the data warehouse that I'm working off is not, um a It's an on prem. It's an oracle database. Um, and it's 15 years old, so it has extra data in it. It has, um, things that we don't need anymore. And Iot. Tahoe's helping me shake out that, um, extra data that does not need to be moved into my S three. So it's saving me money when I'm moving from offering on Prem. >>What's your vision or your your data driven organization? >>Um, I want for the bankers to be able to walk around with on iPad in their hands and be able to access data for that customer really fast and be able to give them the best deal that they can get. I want Webster to be right there on top, with being able to add new customers and to be able to serve our existing customers who had bank accounts. Since you were 12 years old there and now our, you know, multi. Whatever. Um, I want them to be able to have the best experience with our our bankers. >>That's really what I want is a banking customer. I want my bank to know who I am, anticipate my needs and create a great experience for me. And then let me go on with my life. And so that's a great story. Love your experience, your background and your knowledge. Can't thank you enough for coming on the Cube. >>No, thank you very much. And you guys have a great day. >>Next, we'll talk with Lester Waters, who's the CTO of Iot Toe cluster takes us through the key considerations of moving to the cloud. >>Yeah, right. The entire platform Automated data Discovery data Discovery is the first step to knowing your data auto discover data across any application on any infrastructure and identify all unknown data relationships across the entire siloed data landscape. smart data catalog. Know how everything is connected? Understand everything in context, regained ownership and trust in your data and maintain a single source of truth across cloud platforms, SAS applications, reference data and legacy systems and power business users to quickly discover and understand the data that matters to them with a smart data catalog continuously updated ensuring business teams always have access to the most trusted data available. Automated data mapping and linking automate the identification of unknown relationships within and across data silos throughout the organization. Build your business glossary automatically using in house common business terms, vocabulary and definitions. Discovered relationships appears connections or dependencies between data entities such as customer account, address invoice and these data entities have many discovery properties. At a granular level, data signals dashboards. Get up to date feeds on the health of your data for faster improved data management. See trends, view for history. Compare versions and get accurate and timely visual insights from across the organization. Automated data flows automatically captured every data flow to locate all the dependencies across systems. Visualize how they work together collectively and know who within your organization has access to data. Understand the source and destination for all your business data with comprehensive data lineage constructed automatically during with data discovery phase and continuously load results into the smart Data catalog. Active, geeky automated data quality assessments Powered by active geek You ensure data is fit for consumption that meets the needs of enterprise data users. Keep information about the current data quality state readily available faster Improved decision making Data policy. Governor Automate data governance End to end over the entire data lifecycle with automation, instant transparency and control Automate data policy assessments with glossaries, metadata and policies for sensitive data discovery that automatically tag link and annotate with metadata to provide enterprise wide search for all lines of business self service knowledge graph Digitize and search your enterprise knowledge. Turn multiple siloed data sources into machine Understandable knowledge from a single data canvas searching Explore data content across systems including GRP CRM billing systems, social media to fuel data pipelines >>Yeah, yeah, focusing on enterprise data automation. We're gonna talk about the journey to the cloud Remember, the hashtag is data automate and we're here with Leicester Waters. Who's the CTO of Iot Tahoe? Give us a little background CTO, You've got a deep, deep expertise in a lot of different areas. But what do we need to know? >>Well, David, I started my career basically at Microsoft, uh, where I started the information Security Cryptography group. They're the very 1st 1 that the company had, and that led to a career in information, security. And and, of course, as easy as you go along with information security data is the key element to be protected. Eso I always had my hands and data not naturally progressed into a roll out Iot talk was their CTO. >>What's the prescription for that automation journey and simplifying that migration to the cloud? >>Well, I think the first thing is understanding what you've got. So discover and cataloging your data and your applications. You know, I don't know what I have. I can't move it. I can't. I can't improve it. I can't build upon it. And I have to understand there's dependence. And so building that data catalog is the very first step What I got. Okay, >>so So we've done the audit. We know we've got what's what's next? Where do we go >>next? So the next thing is remediating that data you know, where do I have duplicate data? I may have often times in an organization. Uh, data will get duplicated. So somebody will take a snapshot of the data, you know, and then end up building a new application, which suddenly becomes dependent on that data. So it's not uncommon for an organization of 20 master instances of a customer, and you can see where that will go. And trying to keep all that stuff in sync becomes a nightmare all by itself. So you want to sort of understand where all your redundant data is? So when you go to the cloud, maybe you have an opportunity here to do you consolidate that that data, >>then what? You figure out what to get rid of our actually get rid of it. What's what's next? >>Yes, yes, that would be the next step. So figure out what you need. What, you don't need you Often times I've found that there's obsolete columns of data in your databases that you just don't need. Or maybe it's been superseded by another. You've got tables have been superseded by other tables in your database, so you got to kind of understand what's being used and what's not. And then from that, you can decide. I'm gonna leave this stuff behind or I'm gonna I'm gonna archive this stuff because I might need it for data retention where I'm just gonna delete it. You don't need it. All were >>plowing through your steps here. What's next on the >>journey? The next one is is in a nutshell. Preserve your data format. Don't. Don't, Don't. Don't boil the ocean here at music Cliche. You know, you you want to do a certain degree of lift and shift because you've got application dependencies on that data and the data format, the tables in which they sent the columns and the way they're named. So some degree, you are gonna be doing a lift and ship, but it's an intelligent lift and ship. The >>data lives in silos. So how do you kind of deal with that? Problem? Is that is that part of the journey? >>That's that's great pointed because you're right that the data silos happen because, you know, this business unit is start chartered with this task. Another business unit has this task and that's how you get those in stance creations of the same data occurring in multiple places. So you really want to is part of your cloud migration. You really want a plan where there's an opportunity to consolidate your data because that means it will be less to manage. Would be less data to secure, and it will be. It will have a smaller footprint, which means reduce costs. >>But maybe you could address data quality. Where does that fit in on the >>journey? That's that's a very important point, you know. First of all, you don't want to bring your legacy issues with U. S. As the point I made earlier. If you've got data quality issues, this is a good time to find those and and identify and remediate them. But that could be a laborious task, and you could probably accomplish. It will take a lot of work. So the opportunity used tools you and automate that process is really will help you find those outliers that >>what's next? I think we're through. I think I've counted six. What's the What's the lucky seven >>Lucky seven involved your business users. Really, When you think about it, you're your data is in silos, part of part of this migration to cloud as an opportunity to break down the silos. These silence that naturally occurs are the business. You, uh, you've got to break these cultural barriers that sometimes exists between business and say so. For example, I always advise there's an opportunity year to consolidate your sensitive data. Your P I. I personally identifiable information and and three different business units have the same source of truth From that, there's an opportunity to consolidate that into one. >>Well, great advice, Lester. Thanks so much. I mean, it's clear that the Cap Ex investments on data centers they're generally not a good investment for most companies. Lester really appreciate Lester Water CTO of Iot Tahoe. Let's watch this short video and we'll come right back. >>Use cases. Data migration. Accelerate digitization of business by providing automated data migration work flows that save time in achieving project milestones. Eradicate operational risk and minimize labor intensive manual processes that demand costly overhead data quality. You know the data swamp and re establish trust in the data to enable data signs and Data analytics data governance. Ensure that business and technology understand critical data elements and have control over the enterprise data landscape Data Analytics ENABLEMENT Data Discovery to enable data scientists and Data Analytics teams to identify the right data set through self service for business demands or analytical reporting that advanced too complex regulatory compliance. Government mandated data privacy requirements. GDP Our CCP, A, e, p, R HIPPA and Data Lake Management. Identify late contents cleanup manage ongoing activity. Data mapping and knowledge graph Creates BKG models on business enterprise data with automated mapping to a specific ontology enabling semantic search across all sources in the data estate data ops scale as a foundation to automate data management presences. >>Are you interested in test driving the i o ta ho platform Kickstart the benefits of data automation for your business through the Iot Labs program? Ah, flexible, scalable sandbox environment on the cloud of your choice with set up service and support provided by Iot. Top Click on the link and connect with the data engineer to learn more and see Iot Tahoe in action. Everybody, we're back. We're talking about enterprise data automation. The hashtag is data automated and we're going to really dig into data migrations, data migrations. They're risky, they're time consuming and they're expensive. Yousef con is here. He's the head of partnerships and alliances at I o ta ho coming again from London. Hey, good to see you, Seth. Thanks very much. >>Thank you. >>So let's set up the problem a little bit. And then I want to get into some of the data said that migration is a risky, time consuming, expensive. They're they're often times a blocker for organizations to really get value out of data. Why is that? >>I think I mean, all migrations have to start with knowing the facts about your data. Uh, and you can try and do this manually. But when you have an organization that may have been going for decades or longer, they will probably have a pretty large legacy data estate so that I have everything from on premise mainframes. They may have stuff which is probably in the cloud, but they probably have hundreds, if not thousands of applications and potentially hundreds of different data stores. >>So I want to dig into this migration and let's let's pull up graphic. It will talk about We'll talk about what a typical migration project looks like. So what you see, here it is. It's very detailed. I know it's a bit of an eye test, but let me call your attention to some of the key aspects of this, uh and then use if I want you to chime in. So at the top here, you see that area graph that's operational risk for a typical migration project, and you can see the timeline and the the milestones That Blue Bar is the time to test so you can see the second step. Data analysis. It's 24 weeks so very time consuming, and then let's not get dig into the stuff in the middle of the fine print. But there's some real good detail there, but go down the bottom. That's labor intensity in the in the bottom, and you can see hi is that sort of brown and and you could see a number of data analysis data staging data prep, the trial, the implementation post implementation fixtures, the transition to be a Blu, which I think is business as usual. >>The key thing is, when you don't understand your data upfront, it's very difficult to scope to set up a project because you go to business stakeholders and decision makers, and you say Okay, we want to migrate these data stores. We want to put them in the cloud most often, but actually, you probably don't know how much data is there. You don't necessarily know how many applications that relates to, you know, the relationships between the data. You don't know the flow of the basis of the direction in which the data is going between different data stores and tables. So you start from a position where you have pretty high risk and probably the area that risk you could be. Stack your project team of lots and lots of people to do the next phase, which is analysis. And so you set up a project which has got a pretty high cost. The big projects, more people, the heavy of governance, obviously on then there, then in the phase where they're trying to do lots and lots of manual analysis, um, manual processes, as we all know, on the layer of trying to relate data that's in different grocery stores relating individual tables and columns, very time consuming, expensive. If you're hiring in resource from consultants or systems integrators externally, you might need to buy or to use party tools. Aziz said earlier the people who understand some of those systems may have left a while ago. CEO even higher risks quite cost situation from the off on the same things that have developed through the project. Um, what are you doing with Ayatollah? Who is that? We're able to automate a lot of this process from the very beginning because we can do the initial data. Discovery run, for example, automatically you very quickly have an automated validator. A data met on the data flow has been generated automatically, much less time and effort and much less cars stopped. >>Yeah. And now let's bring up the the the same chart. But with a set of an automation injection in here and now. So you now see the sort of Cisco said accelerated by Iot, Tom. Okay, great. And we're gonna talk about this, but look, what happens to the operational risk. A dramatic reduction in that, That that graph and then look at the bars, the bars, those blue bars. You know, data analysis went from 24 weeks down to four weeks and then look at the labor intensity. The it was all these were high data analysis, data staging data prep trialling post implementation fixtures in transition to be a you all those went from high labor intensity. So we've now attacked that and gone to low labor intensity. Explain how that magic happened. >>I think that the example off a data catalog. So every large enterprise wants to have some kind of repository where they put all their understanding about their data in its price States catalog. If you like, imagine trying to do that manually, you need to go into every individual data store. You need a DB, a business analyst, reach data store. They need to do an extract of the data. But it on the table was individually they need to cross reference that with other data school, it stores and schemers and tables you probably with the mother of all Lock Excel spreadsheets. It would be a very, very difficult exercise to do. I mean, in fact, one of our reflections as we automate lots of data lots of these things is, um it accelerates the ability to water may, But in some cases, it also makes it possible for enterprise customers with legacy systems take banks, for example. There quite often end up staying on mainframe systems that they've had in place for decades. I'm not migrating away from them because they're not able to actually do the work of understanding the data, duplicating the data, deleting data isn't relevant and then confidently going forward to migrate. So they stay where they are with all the attendant problems assistance systems that are out of support. You know, you know, the biggest frustration for lots of them and the thing that they spend far too much time doing is trying to work out what the right data is on cleaning data, which really you don't want a highly paid thanks to scientists doing with their time. But if you sort out your data in the first place, get rid of duplication that sounds migrate to cloud store where things are really accessible. It's easy to build connections and to use native machine learning tools. You well, on the way up to the maturity card, you can start to use some of the more advanced applications >>massive opportunities not only for technology companies, but for those organizations that can apply technology for business. Advantage yourself, count. Thanks so much for coming on the Cube. Much appreciated. Yeah, yeah, yeah, yeah
SUMMARY :
of enterprise data automation, an event Siri's brought to you by Iot. a lot of pressure on data, a lot of demand on data and to deliver more value What is it to you. into the business processes that are going to drive a business to love to get into the tech a little bit in terms of how it works. the ability to automatically discover that data. What is attracting those folks to your ecosystem and give us your thoughts on the So part of the reason why we've IBM, and I'm putting that to work because, yeah, the A. J. Thanks so much for coming on the Cube and sharing your insights and your experience is great to have Look who is smoking in We have a great conversation with Paul Increase the velocity of business outcomes with complete accurate data curated automatically And I'm really excited to have Paul Damico here. Nice to see you too. So let's let's start with Let's start with Webster Bank. complete data on the customer and what's really a great value the ability to give the customer what they need at the Part of it is really the cycle time, the end end cycle, time that you're pressing. It's enhanced the risk, and it's to optimize the banking process and to the cloud and off Prem and on France, you know, moving off Prem into, In researching Iot Tahoe, it seems like one of the strengths of their platform is the ability to visualize data the You know, just for one to pray all these, you know, um, and each project before data for that customer really fast and be able to give them the best deal that they Can't thank you enough for coming on the Cube. And you guys have a great day. Next, we'll talk with Lester Waters, who's the CTO of Iot Toe cluster takes Automated data Discovery data Discovery is the first step to knowing your We're gonna talk about the journey to the cloud Remember, the hashtag is data automate and we're here with Leicester Waters. data is the key element to be protected. And so building that data catalog is the very first step What I got. Where do we go So the next thing is remediating that data you know, You figure out what to get rid of our actually get rid of it. And then from that, you can decide. What's next on the You know, you you want to do a certain degree of lift and shift Is that is that part of the journey? So you really want to is part of your cloud migration. Where does that fit in on the So the opportunity used tools you and automate that process What's the What's the lucky seven there's an opportunity to consolidate that into one. I mean, it's clear that the Cap Ex investments You know the data swamp and re establish trust in the data to enable Top Click on the link and connect with the data for organizations to really get value out of data. Uh, and you can try and milestones That Blue Bar is the time to test so you can see the second step. have pretty high risk and probably the area that risk you could be. to be a you all those went from high labor intensity. But it on the table was individually they need to cross reference that with other data school, Thanks so much for coming on the Cube.
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Dave Russell & Jason Buffington, Veeam | VeeamON 2020
>>from around the globe. It's the Cube with digital coverage of VM on 2020. Brought to you by IBM. >>Welcome back. I'm Stew Minimum. And and this is the Cube's coverage of VM on 2020 online this year. We've done the event for many years and being able to reach the team executives, some of their partners and the like where they are around the globe really excited to be able to dig in. And we're gonna talk some numbers, the analysis and to help me do that. I've got to VM Cube alumni. We've had them on the Cube before. They were being always excited to get the talk of them and dig into the numbers with them now that they are at VM. Dave Russell is the vice president of enterprise strategy, and Jason Buffington is the vice president of solution strategy. Both with beam. Gentlemen, thanks so much for joining us. >>Thank you. Thank you. >>All right. First, I guess you know, let me ask how you guys doing? You know, we're having a little bit of ah, discussion before we came on here. As Do you know, everyone is now inundated with data and numbers and the like with this global pandemic. You know, Dave, how things doing in your neck of the woods, and, uh, and then we'll go to Jason. >>Yeah, well, you know, literally cannot complain. Personally, VM itself is doing incredibly well as an organization will double click on that here. But, you know, in terms of data, particularly as it relates to this space that we're in backup and recovery availability Cloud data management. The recent data for first half 2020 is actually fascinating. We're gonna double click on that a little bit more, right, Jason, >>we are now as far as how we're doing. You know, I've been at every team on that. We've had the 1st 3 is an analyst. Last two is a VP. I've never gotten to do one in my pajama bottoms, though, so that's kind of a nice changes to kind of mix it up a little bit. Um, but yeah, the other thing, which has been kind of fun is is that because we haven't been traveling, it really gave Dave and I had a chance to kind of get back to our roots a little bit and really dig into research. And how do you apply research to product direction and go to market? And so it's been a fun project that were culminating with was the motto >>Yeah, Jason, please don't be given out secrets. I'm not saying if you look up Dave Volante, Twitter, handle that. You'll find the suit on the top shorts on the bottom. Look, what I refer to is cube casual for some of these remote events. But, you know, you do have a breakout that you're doing really looking at digital transformation and I t. Modernization, you know, digital transformation. I'm sure you know you, both of you, from the analyst standpoint. For a while, it was a bit of a buzz word. You know, today, when you just with the backdrop of the global pandemic, it's like, Well, if you have had the the chance to go through the digital transformation, hopefully, you know, you get things put to the test, you're relying on data, you should be more agile, and those are all things that I think the remote workforce and what they're doing. But if you hadn't finish that or either started or in the middle of that journey, you know, big question is, you know, what are you doing? Will this accelerate it? Will it slow it down? So excited to dig into your CEO research? Why don't you give us a little bit of the background? How long is this going on? Who you're talking to is as part of this. This research. >>Sure. Well, as far as the research itself goes. So the team went to an outside panel and said, Hey, don't tell anybody who is from when you interview these kinds of personas in these kinds of folks. We did 1550 enterprises and by that definition, meaning 1000 users or not across 18 different countries around the world. And then we even ask some questions around. Not only what country are you in, but in what countries do you influence? Data protection, strategy and architecture? Everyone from I T architects all the way through csos were part of that survey. And we've got some great data back not only from an executive perspective of what are the expectations of i t, but also from the i t implementer anti architect's perspective on what are their real world challenges today and That's some of things that we were at being really keen to understand more, to make sure that we're building the right things and saying the right things for our customers and our prospects. >>Excellent. And maybe give us a little bit of a backdrop. You know, when I think about enterprise is, you know, we always talk about these mega waves. You know, The things that I talked about is you know, when I talk to the CSO suite, it's not that they have Well, you know, I've got a multi cloud strategy, you know, I'm figuring out how cloud changes what I'm doing. Digital transformation is one of those things that brings together, you know, the business and the I t. And hopefully you know something I know we've all been talking about for quite a long time. I t just can't be a separate thing. Or so you know, a cost center but needs to really respond to the business. What's that Backdrop of digital transformation and, you know, bring us inside a little bit what your learnings >>were. Yeah, to me. I think I like the notion of digital transformation because it's very specific to every business, maybe even every business unit, meaning it's not a case of a vendor saying, Here's what your project should be. Rather, it's more of a notion of whatever initiative you have to try to increase customer intimacy, to be able to contain costs, expand your reach. That's really what digital transformations here to support. >>Excellent. And Jason give us a little bit of color as you know, some of the finding. >>Yeah, so I mean, I think the big ones that we looked at were, you know, what were the major I t challenges you had overall, and maybe not so much of a surprise, but staffing and legacy infrastructure. We're still some of the biggest things that we're holding back i t organizations, which I think is especially interesting in the landscape, the world right now, right, Because your staff can't be in the places where they used to be and from a legacy perspectives to I know you love data as much as we do. Um, the you know, if if organizations are spending between 68 82% of their money and their dollars on the status quo, that doesn't leave a whole lot left for the things that you'd like to do, like improving customer experience like accelerating the employees of your business. So things like digital transformation tend to get hindered by the same stuff that tenders I t. Modernization and just hear the buzz words just trying to do better in I t. For the sake of the business. But really, those have been kind of big gaps. >>Yeah, I think Jason hit a key point. There's two of you know the issue right now is a lot of us are just trying to run the business like, literally keep the lights on. You and Jason mentioned the stats of high sixties low seventies just trying to keep status quo. The digital transformation, in my mind is about obviously trying to run the business while you're seeking to grow the business and aspirational, hoping to transform your business to really improve customer intimacy and success of end customers as well as partners. So if done right, pursuing digital transformation can help you with tactical needs as well. A strategic outcome? >>Yeah, you know, it's it's it's a little sad, I think, from an industry standpoint, you talk about how much money in time is spent on keeping the lights on. I feel like 10. 15 years ago, it was, you know, the 80 85%. If you're saying, you know, we've whittled away a little bit now in the low seventies, some really good companies, it's getting, but we haven't things yet. Um, I'm curious. You know, you have this position, they don't know that it was sponsored by VM. So how do cloud as a general technology and then, you know, data protection and availability specifically, you know, fit into the overall priorities for that that I t modernization. >>So there were There were two questions that we really focused on that they're my two favorite slides in the in the whole deck. The 1st 1 that I thought was really interesting is when we asked organizations, What does modern data protection look like? Or innovative? And I think we use a few different buzzwords along the way, and we asked them, check all of these capabilities that might apply, and then which one is the most definitive? And we actually got two different sets of answers depending on how you pivot that data. If you ask, uh, most common responses, Modern data protection looks cloudy, and what I mean by that is the top choices scored were the ability to do D. R as a service. The ability to integrate on premise and cloud based is part of your data protection architecture. And then the ability to move data from one cloud to another would certainly reinforces the fact that we are not only in a hybrid world but in a multi hybrid world as well. So if you're looking for most common answers, modern data protection looks cloudy. But if you flip it over and you say what is the most definitive feature, you actually get something very different. You find out that the ability to leverage orchestration and workflow, the ability to manage via AP eyes and systems management the ability to be part of a cyber security strategy. So what you see is that modern data protection in general has to be cloudy. But more importantly, backup should not sit on an island of its own. It should be a cohesive part of a broader I T experience that's managed by something broader that's part of provisioning a systems framework. So those two answers kind of Tell us what should we not only making sure that we continue to build on, but also making sure that we're communicating as far as you know, does being meet the bar for what organizations are looking for in a modern or innovative data protection strategy? >>Yeah, that's really interesting. You know, I guess one of the big things I've seen over the last 12 to 18 months is maturation of things like, you know, a really hybrid strategy. So if I look at the team, you know the most critical partnerships, of course, our VM ware from a historical standpoint and things like Microsoft going Ford in both of them have made big strides over the last couple of years as you not just, you know, on premises versus Public Cloud. But how do all these things work together? The discussions that we've been having about cloud is not necessarily a destination, but it's more of an operating model. And as people build out their architectures, the all the things you mentioned there, it's not a place or a destination, But it's more of that architect view and can live across lots of different environment. Does that make sense. Yeah, >>yeah, it's across. It's a horizontal play, really, It's not moving from Point A to point B. It's really embracing expanded choices. So you know what we found when we did? This survey is directionally where organizations are at the day with on Prem physical virtual going towards cloud and then how they responded their intention two years later. There weren't major surprises there, meaning the shift was increasingly more towards cloud. But it also wasn't a case that on Prem physical goes to zero. So any more than it's a case of an organization goes 100% all in on one hyper scaler, all the cloud provider. So it's really about supporting a mixed, and it's about offering choice because every business or maybe more specifically, every workload within a business might have their own natural migration associated with what they need to do what's appropriate, given their business realities and their desires. So if we double click on what's really important from backup, the number one thing that came back from our global survey which a little incriminating on the state of the industry was the number one thing that would make us want to change our backup provider so that application would back up. That is an amazing, the shocking statement. That's like saying so. If you change cars, automobiles, what would you look for? First and foremost, and your response is an automobile that started. >>It was really scary right in 2020. So Dave and I have each been in backup almost exclusively for 30 years each, right and still you using label spell backup for almost the same length of time. And we've been doing this for a really long time. And in 2020 when I T pros were asked what would get them to change, it's they'd like it to work the way they thought it would when they bought it. I mean, that's just a really damning statement. And then beyond that, when the next drivers certainly economics came into play. So the number two answers were reducing hardware and software costs and improving. TCO nor I were two and three and then capabilities around, improving our P o rto SL A's and then ease of use. That kind of rounds out the top five with cloud coming in right behind that. So not a whole lot of surprise there, but what a terrible statement for the industry that we just like it to work. >>All right, how about some good news? What? What recommendations or guidance? Is there anything that you got out of it that you know, best practices or leaders in the space or what peers would recommend team to each other. >>So I think the two things that I took away that I thought was really interesting from a best practices and moving forward data reuse scored really, really high. So the interest in leveraging and the survey actually asked several different scenarios for what folks were either doing or aspiring to do around data use. And you can call it copy data management. You can call it secondary storage use cases. You whatever marketing buzz where you want. But the bottom line is, don't just put your data in the backup repository and wait for bad things happen. Do something with that data. Dev Ops Acceleration patch testing risk mitigation, quarantine for forensics for cyber. But there was a lot of of yes, we're starting to do. And also yes, we're aspiring. Over the next 12 months, I think data reuse was a really big thing that I was so glad that folks were getting along the way and then also the recognition that with the intolerance of downtime and the intolerance of data loss that was measured in the survey, it was really obvious that a lot more organizations understand they have to be combining not only backups but also snapshots and replication in a consistent way. Because you can't meet the SL is that most organizations have today. If the only thing you're doing is just nightly backup now the team, we would say, Great, you got to do snapshots you out of the replication. You ought to do backup. Please don't use three different tools times each one of those times, each workload. It's not economically or operationally viable. So certainly in that's good news for us, because we manage all three. But those were kind of two big drivers I was most excited about. >>And if I take what we got from the data protection report and then couple that with recent industry analysis reports from like I, D. C. And Gartner, I merge that together, I think one of the reasons why IBM has been very successful you know, literally knock on wood, but VM is up as a company 10% year over year, October 2 October arm Sorry, April. April and that's been true for all 12 years. That being has been shipping back of product, so in a tough time, actually doing extremely well. Still, hiring still expanding Gartner has beam for calendar year 2019 moving from number four in market globally. Toe number three i. D. C. Maintains beam is number one and market in Europe, one of the top five vendors. Three of the five, where negative year over year VM was the highest sequentially positive year over year positive. And I think the reasons why not going back to the survey in my mind was due to the software defined nature of the solution and what I mean by that in particular, why that has customer value, especially now in a current pandemic. Situation is you can leverage the existing infrastructure that you've got. We we've been around and remember the macroeconomic issue of 2000 and eight organizations held on to their assets much, much longer. Refresh cycles slowed down, so the ability to leverage the infrastructure that you have to scale out horizontally to be able to ingest more data to have a horizontal management playing. To be able to have a service repository that could include cloud and object storage just allows you to better leverage the investments you've made but deflects appropriately for workloads and to be able to expand into things like public cloud and object storage as you see fit. >>Well, David Jason, thank you so much for the update. Real pleasure to catch up with you Always. Always great big data with both. >>Thank you. So you could just be >>alright. Stay tuned for more coverage from VM on 2020 Online on stew minimum. And thank you for watching the Cube. >>Yeah, yeah, yeah.
SUMMARY :
Brought to you by IBM. Dave Russell is the vice president of enterprise Thank you. First, I guess you know, let me ask how you guys doing? Yeah, well, you know, literally cannot complain. And how do you apply research to product direction and go to market? the middle of that journey, you know, big question is, you know, what are you doing? to an outside panel and said, Hey, don't tell anybody who is from when you interview these kinds of personas is one of those things that brings together, you know, the business and the I t. And hopefully you know something Rather, it's more of a notion of whatever initiative you have to try to some of the finding. Um, the you know, if if organizations are spending between There's two of you know the issue right now is a I feel like 10. 15 years ago, it was, you know, the 80 85%. So what you see is that modern data protection in general has to be cloudy. So if I look at the team, you know the most critical partnerships, So you know what we found when we did? So the number two answers were reducing hardware and software costs Is there anything that you got out of it that you know, best practices or leaders in the space or what peers And you can call it copy data management. so the ability to leverage the infrastructure that you have to scale out horizontally Real pleasure to catch up with you Always. So you could just be And thank you for watching the Cube.
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Sidney Rabsatt, F5 Networks | DockerCon 2020
>>from around the globe. It's the queue with digital coverage of Docker Con Live 2020 brought to you by Docker and its ecosystem partners. Everyone welcome back to Docker Con 2020 Docker Con 20. I'm John Furrier, host of the Cube. We're here for virtual event docker con docker, con dot com, and check out all the great footage. And also great guests were talking to all the major thought leaders and people in the industry making it happen as we have this new reality, a great guest and a great segment here from Engine. It's now part of F five, Robb said. Who's the vice president? Product management Sydney, thanks for coming on this segment. Appreciate you taking the time to chat with us. >>No problem. Happy to be here >>so and UNIX Everyone that does development knows about you. Guys have been very popular product with developers. Number one in the Docker hub will get to that later on this segment. So it's known really in the industry is really easy, easy to use and very reliable component of cloud native and cloud, if you will Anything that working So So I got I got to ask you with the new reality we're living with Covert 19 we now see the new reality that's now apparent to everyone in the world that with new work style, working at home VPNs are under provision now. People working from home, more service area with security. The at scale problems are surface for the executives and business, saying, We need to figure this new reality out because this is not going to change. It's going to move to hybrid when it comes back. But ultimately it exposes and highlights the opportunities around cloud native and kind of shows the operating model of how applications are going to be using. So I think this is going to be mainstream trend for what used to be an inside baseball kind of industry. Conversation around micro services, containers, docker containers, kubernetes. This is all now a tailwind for what will be a massive surge in new APS. I want to get your thoughts and reaction to that as you guys are in the middle of it with your product and the developers would have to build new value on top of it. What's your reaction? >>Yeah, I think you're absolutely right. We're also dealing with our own version of this new way of working right. We're also working from home and working remotely and seeing how that impacts us. But as we think about our customers and the folks that leverage in genetics, we started with scaling applications. We have 10 X solution that made it easier to deploy an application, have it scale in a very efficient way. And so it's folks are moving online more and more, relying more on staying connected, no matter where they're working from. Providing that capability is something that's going to continue to be core and will increase in importance. And these folks are looking to build more modern applications or modernize what they already have. Leveraging our technologies is just a natural extension. It's the technology they're already familiar with. They've been relying on it for many years and, you know, as they look to the future, has the capabilities they need to continue to rely on it going forward. >>What are some of the new things that you're working on? You can share with the audience because you're known for tried and true, very reliable. Okay, now you got micro services, which is emerging and very dynamic, literally, figuratively. So what's the new stuff? What do you guys focused on? Can you share some insights into how you're thinking about it and some things that you're doing? >>Yeah, a big part of what we're focusing on is really taking with headaches that come with scaling up applications, especially in the modern world. Now, those headaches are all about understanding the complexity of these new applications, being in the confidence needed to be able to deploy them at scale and understand not only what they're doing, but make sure that if something were to go wrong, they could figure out what was happening. And so, as we think about the investments we're making at the help folks modernize versus just making it easier to employ at modern applications of scale, which is one category of things, second is making sure that you have a really strong understanding of how the application is really working, so that, you know, with if it breaks, it could be fixed quickly. But there opportunities to improve it. We can quickly see the impact of it, and, you know, there's a lot of capabilities we're building in on those two dimensions. And in the third dimension, I would say is around security. I think there's a lot of new surface area. It's being exposed as folks start to build more micro services based applications. And you know, with the technology we have way allow people to buy both rich security capabilities as well as very surgical capabilities, depending on where they need the right functionality. >>And the container business has been really great ride to watch the rise of containers that really someone who has been in software engineering since I was 17. You know, the old way of systems thinking is modernized with containers, and you saw that the beginning of a surge of a sea change Now, actually, with micro services, you just pointed out it's gonna create a whole nother level level of head room. But containers really brought in this notion of making systems work better together, and I think that's really been a great boon for developers. So I got to ask you, you know, Docker containers and now kubernetes on this trend, you guys have been very popular, if not the most popular downloaded container in the hub, and so you've been super popular developers. So what happens next? First? Well, why is that the case and talk to the developers? Why will you continue to be popular? What do you guys have got to keep that that satisfaction going. Why so popular? And how are you going to keep that rolling? >>Yeah, I think. Why so popular? I think we've been fortunate to ride the wave of trusted solutions, right? So folks were already leveraging us for their critical applications. I've been very critical location. It's natural to look to that same text technology as you move to new environments. And, yeah, we've been very fortunate. Teoh have folks continue to trust us with their applications as they move to new environments as a containerized things. And we appreciate that. And we continue to invest in making sure that our feature set is just as capable in those environments as it is anywhere else. And in addition to that, we do invest heavily in making sure that our capabilities and those in the container, space and micro services space specifically, are you staying ahead of where there's a lot of work we're doing to support the next generation capabilities that folks want to be able to leverage but aren't necessarily yet. And that scales from kind of near term things like like G rpc all the way out to HDP three. That's on the horizon. So as we look at the space, we're privileged to have the footprint already. But at the same time, we're not resting on our laurels. We're absolutely investing and making sure that we allow folks to continue to deliver that high quality, high performance application experience no matter what environment they choose to use. >>You know, you know, this whole covert crisis brings up the glass is half full or half empty, depending on your view is you know that due to the two worlds are certainly getting more collision oriented when it come together. The CSO level size of sides of the business and the developer side. We've always said for years other developers on the front lines and it's true, have been cloud native and cloud has been great for developers, but now more than ever, the conversation having on the business side would CSO CIO, CIO, CSO, or whatever have been Hey, my house is on fire after I don't have worry about I don't need to worry about the appliances and what's going on in my kitchen. I need to save my business. And so they're then gonna call the developers to the table. And you're seeing this this kind of formation of critical path thinking around OK, we need to come out of this crisis on a reinvention growth trajectory, which brings the developers into the mix even faster. So I want to get your thoughts on that because, you know, what does that actually mean? Are they gonna be called in for projects? I mean, what's the media's look like? Because you have a zoom meeting or whatever this is going to be now a new dynamic, A new psychology of the business models of these companies with developers are going to be very active leaders in that new role. Because the virtualized world, now that we live in, is going to be different. The applications have more demands and more more needs more capabilities. So take us through your thinking on this and what what should developers expect when they get called to those meetings? >>Yeah, I think you know the trend that we're seeing that's going to accelerate. I believe as a result of this is the internal transformation. So there's a lot of technologies that developers already leverage be able to deliver that absent. There's technologies that they'd like to be able to leverage more and more, especially if they're using more modern environments. And that tends to come into sharp relief against the legacy infrastructure that exists in the legend legacy tooling that oftentimes exists in large organizations. And so, as organizations start to see, not only about the in the world has changed prior to code, and they need to modernize and transform. I think you know this. This crisis will also spur folks toe really put more thought into how they operate. We're already looking at from the remote work perspective, but also the agility that businesses really want to be able to have but traditionally have been prevented from having. And so I think that the developers are really gonna have an opportunity here to really drive that agile change they want to see in an organization so they can get the capabilities they want help to market quickly. That's going to require new tools, new processes within the organization and those types of things that we're fully supported about. We work in legacy environments, work in modern environments. We allow companies to be as agile as they like to be. I think developers have a really good opportunity here to really be leaders of that change. >>That's awesome. Great insight. So let's talk about the developer side. I'll put my developer hat on for a second here. Sydney. OK, The business guys came to me. We're gonna We're gonna do more cool stuff. I get that. That's totally relevant. Very good insight there. But now in the developer and I have been working with engineers, and I know of Engine X. What's in it for me? What's in it for me? The developer? What do I need to know about Engine X now for me, as a developer, going forward? >>Look, I mean, way come from a really strong, open source tradition. And you know the main reason folks use our solutions. Because if we take headaches away right, I mean, we're a tool that allows folks to deliver their applications, deploy their applications without having to worry about the mechanics. And so for the developers, you know what's in it for you is you build, the application will take care of. The rest will make sure it gets delivered with the controls that are required with security and authentication is required. We operate as an extension of your application. We provide a lot of nice things in the front door. All the way back to you know, into the bedroom is technically a spark, as the application infrastructure is concerned. But, you know, we take care of that common infrastructure. They keep infrastructure set of capabilities needed. That application. Developers can simply focus on building the best applications they can, and we'll make sure that they were >>awesome. Now let's get into the F five acquisition combination with Engine X. What does that do for you guys? As a change of capabilities as it increased more head room for solutions? Is there a new joint tech take us through some of the impacts of that combination? >>Yeah, so it's been a good right. It's been just over a year since the deal closed, and we've been aggressively investing in scaling up the vision that we had previously have. We really want to bring applications to life. You make it so that your application not only scalable and highly available, but it's able to adapt over time. And that, of course, would require input from operations teams, of course, but you know, we're trying to make sure that folks have the ability to operate their applications under any circumstances, whether they're being attacked, whether they're under high demand, whether people are moving all over the place, and we're really trying to make it so that the application is essentially bullet proof. So with that five, we have the ability to invest more in that road map in that vision, in addition to bringing on some pretty cool, complimentary capabilities. One of the things that we're really happy to see is the rich security capabilities that five have has that we're now able todo leverage with the Internet solutions side by side, providing no again new ways to get really advanced security capabilities into the right places in your application greeting. Yeah, >>great insights. I really appreciate that That commentary love to get your thoughts on just something that's always been near and dear to my heart, being cloud world since the early days and trying stuff. Now it's fully enterprise ready and doing all sorts of new things that multi cloud hybrid. But remember the days back when Dev Ops was kind of debated? All that is the day of is it ops? And it always had that Dev ops kind of. I'm an operations person or a devil developer. That's kind of generally been resolved in the sense that infrastructure is code is kind of resolve that. But now, with the Covad crisis, you're seeing operations clearly front and center again, right? So you got security ops now coming online, networking up. So I think the new reality and the edge exploding people are home. That's technically an edge. Perimeter security is now the edge point. More and more edge is more and more network traffic is getting more and more complicated. This >>is >>put bring up a lot of conversation around. What is the new formula As you navigate this, how do you attack the problem? Space is how do you create solutions? Is there a playbook? Is there anything that you could share in terms of this new thinking? Because it's gonna be a new trajectory. I think this is an inflection point came from explosions coming of APS. I believe we've been reporting on that. But the thinking has to change. It's going to be pretty crazy. What's your what's your thoughts on this? >>Yeah, I think folks are getting more and more experience with this new way of working on infrastructure of code is absolutely here. Um, automation is absolutely your orchestrations. Absolutely here. And so I see no more and more of these capabilities will get stitched together. And as I said earlier, you know this this organizational transformation It's all about taking the human more and more out of the loop for certain things to be ableto benefit or to the benefit of being able to move more quickly, but in a predictable way. So you're living failures that come with moving quickly. But you're getting that elasticity that you really want. And so, yeah, I think there's more, more adoption of practices. It's not gonna be overnight for folks. But I do think again, this this crisis is gonna give folks an opportunity to really take a deeper look at how they've been operating and where they want to get to, and it's gonna provide an opportunity to accelerate that move, >>you know, from a developer's perspective. The tried and true form of making something complex, easy with us through abstractions making highly performing and highly available. Always a good formula, right? I mean, as the world gets more complex, you still got to move packets around. You still got to run applications. It's just gonna be that tried and true formula of reduce the complexity, make things easier but makes things run faster, make things runs higher scale. This seems to be the play book. What's your thoughts? >>Yeah, absolutely. You know, things that once were hard to becoming easy. And I think we look back three years. Five years from now, we'll see a world that's that's even more automated, moving much more quickly. And some of the things that look difficult now are gonna become commoditized, right? So, you know, as I talked about bringing applications of life and making applications more resilience, more able to protect themselves more ableto, he'll defend all that kind of stuff. The things that the advanced things that we're doing now that folks are playing with will become the easy things, and we'll have new challenges to focus on, especially as we look at things like Ai. We're really starting to get a sense for some of the capabilities we can apply Teoh impact application behaviors and performance. But once you get to the point where you build up a good library of capabilities now, you really have a nice playbook that can become a foundation for even more advanced things. >>Yeah, build that foundation. Scale it up. It's beautiful scales and new competitive Advantage. Lovett Final question. Just take a minute to give the plug for Engine X. Really appreciate your insights here in this segment on this new reality, this new new developer environments going to be huge. Give the plug for engines. What are you guys working on? What should people know about share? What's happened? >>Yeah, so Internet spent, you know, the last decade plus making applications work at scale. I'm really focused now on making applications easy and bringing them to life. And so, you know, the laser focus we have is on taking away the headaches that folks might have, you know, as they try to scale up on their applications. So we're focused on that space we're focused on taking with headaches that folks have is they're trying to make sure that the applications more secure we're taking away the headaches of folks have is they're dealing with complexity of applications. Um, and 80 eyes. You know, that's that's the hottest thing. Right now, people are talking about applications, but they're actually talking about AP eyes that needs to be leveraged, to be able to make their applications really saying so, you know, in all of those spaces, our focus is on making modernization much easier And taking where the headaches associated with doing so. >>Sidney, wrap side with VP of product management at engine X now part of F five. Great conversation. Um, him up on Twitter. He's out there. Great conversation with the community. Really appreciate you taking the time. Thank you. >>Thank you. >>Okay. Him up on Twitter? If any questions jump into the event, this is Docker con 2020. I'm John Furrier here in the Palo Alto studios. Getting all the moat interviews as fast as we can get them to you. Here is Docker con segment. Thanks for watching. Yeah, yeah, yeah, yeah, yeah
SUMMARY :
of Docker Con Live 2020 brought to you by Docker and its ecosystem Happy to be here So it's known really in the industry is really easy, easy to use and very reliable And these folks are looking to build more What are some of the new things that you're working on? We can quickly see the impact of it, and, you know, You know, the old way of systems thinking is modernized with containers, and you saw that the beginning of a surge of a sea change It's natural to look to that same text technology as you move to gonna call the developers to the table. And so I think that the developers are really gonna have an opportunity here to really drive that agile change But now in the developer and I have been working with engineers, All the way back to you know, Now let's get into the F five acquisition combination with Engine X. One of the things that we're really happy I really appreciate that That commentary love to get your thoughts on just something that's always been near But the thinking has to change. taking the human more and more out of the loop for certain things to be ableto This seems to be the play book. And some of the things that look difficult now are gonna become commoditized, Just take a minute to give the plug for Engine X. Really appreciate your insights here in this segment on this And so, you know, the laser focus we have is on taking away the headaches that Really appreciate you taking the time. Getting all the moat interviews as fast as we can get
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Julie Lockner, IBM | IBM DataOps 2020
>>from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a cube conversation. >>Hi, everybody. This is Dave Volante with Cuban. Welcome to the special digital presentation. We're really digging into how IBM is operational izing and automating the AI and data pipeline not only for its clients, but also for itself. And with me is Julie Lockner, who looks after offering management and IBM Data and AI portfolio really great to see you again. >>Great, great to be here. Thank you. Talk a >>little bit about the role you have here at IBM. >>Sure, so my responsibility in offering >>management and the data and AI organization is >>really twofold. One is I lead a team that implements all of the back end processes, really the operations behind any time we deliver a product from the Data and AI team to the market. So think about all of the release cycle management are seeing product management discipline, etcetera. The other role that I play is really making sure that I'm We are working with our customers and making sure they have the best customer experience and a big part of that is developing the data ops methodology. It's something that I needed internally >>from my own line of business execution. But it's now something that our customers are looking for to implement in their shops as well. >>Well, good. I really want to get into that. So let's let's start with data ops. I mean, I think you know, a lot of people are familiar with Dev Ops. Not maybe not everybody's familiar with data ops. What do we need to know about data? >>Well, I mean, you bring up the point that everyone knows Dev ops. And in fact, I think you know what data ops really >>does is bring a lot of the benefits that Dev Ops did for application >>development to the data management organizations. So when we look at what is data ops, it's a data management. Uh, it is a data management set of principles that helps organizations bring business ready data to their consumers. Quickly. It takes it borrows from Dev ops. Similarly, where you have a data pipeline that associates a business value requirement. I have this business initiative. It's >>going to drive this much revenue or this must cost >>savings. This is the data that I need to be able to deliver it. How do I develop that pipeline and map to the data sources Know what data it is? Know that I can trust it. So ensuring >>that it has the right quality that I'm actually using, the data that it was meant >>for and then put it to use. So in in history, most data management practices deployed a waterfall like methodology. Our implementation methodology and what that meant is all the data pipeline >>projects were implemented serially, and it was done based on potentially a first in first out program management office >>with a Dev Ops mental model and the idea of being able to slice through all of the different silos that's required to collect the data, to organize it, to integrate it, the validate its quality to create those data integration >>pipelines and then present it to the dashboard like if it's a Cognos dashboard >>or a operational process or even a data science team, that whole end to end process >>gets streamlined through what we're pulling data ops methodology. >>So I mean, as you well know, we've been following this market since the early days of Hadoop people struggle with their data pipelines. It's complicated for them, there's a a raft of tools and and and they spend most of their time wrangling data preparing data moving data quality, different roles within the organization. So it sounds like, you know, to borrow from from Dev Ops Data offices is all about streamlining that data pipeline, helping people really understand and communicate across. End the end, as you're saying, But but what's the ultimate business outcome that you're trying to drive? >>So when you think about projects that require data to again cut costs Teoh Artemia >>business process or drive new revenue initiatives, >>how long does it take to get from having access to the data to making it available? That duration for every time delay that is spent wasted trying to connect to data sources, trying to find subject matter experts that understand what the data means and can verify? It's quality, like all of those steps along those different teams and different disciplines introduces delay in delivering high quality data fat, though the business value of data ops is always associated with something that the business is trying to achieve but with a time element so if it's for every day, we don't have this data to make a decision where either making money or losing money, that's the value proposition of data ops. So it's about taking things that people are already doing today and figuring out the quickest way to do it through automation or work flows and just cutting through all the political barriers >>that often happens when these data's cross different organizational boundaries. >>Yes, sir, speed, Time to insights is critical. But in, you know, with Dev Ops, you really bringing together of the skill sets into, sort of, you know, one Super Dev or one Super ops. It sounds with data ops. It's really more about everybody understanding their role and having communication and line of sight across the entire organization. It's not trying to make everybody else, Ah, superhuman data person. It's the whole It's the group. It's the team effort, Really. It's really a team game here, isn't it? >>Well, that's a big part of it. So just like any type of practice, there's people, aspects, process, aspects and technology, right? So people process technology, and while you're you're describing it, like having that super team that knows everything about the data. The only way that's possible is if you have a common foundation of metadata. So we've seen a surgeons in the data catalog market in the last, you know, 67 years. And what what the what? That the innovation in the data catalog market has actually enabled us to be able >>to drive more data ops pipelines. >>Meaning as you identify data assets you captured the metadata capture its meaning. You capture information that can be shared, whether they're stakeholders, it really then becomes more of a essential repository for people don't really quickly know what data they have really quickly understand what it means in its quality and very quickly with the right proper authority, like privacy rules included. Put it to use >>for models, um, dashboards, operational processes. >>Okay. And we're gonna talk about some examples. And one of them, of course, is IBM's own internal example. But help us understand where you advise clients to start. I want to get into it. Where do I get started? >>Yeah, I mean, so traditionally, what we've seen with these large data management data governance programs is that sometimes our customers feel like this is a big pill to swallow. And what we've said is, Look, there's an operator. There's an opportunity here to quickly define a small project, align into high value business initiative, target something that you can quickly gain access to the data, map out these pipelines and create a squad of skills. So it includes a person with Dev ops type programming skills to automate an instrument. A lot of the technology. A subject matter expert who understands the data sources in it's meeting the line of business executive who translate bringing that information to the business project and associating with business value. So when we say How do you get started? We've developed A I would call it a pretty basic maturity model to help organizations figure out. Where are they in terms of the technology, where are they in terms of organizationally knowing who the right people should be involved in these projects? And then, from a process perspective, we've developed some pretty prescriptive project plans. They help you nail down. What are the data elements that are critical for this business business initiative? And then we have for each role what their jobs are to consolidate the data sets map them together and present them to the consumer. We find that six week projects, typically three sprints, are perfect times to be able to a timeline to create one of these very short, quick win projects. Take that as an opportunity to figure out where your bottlenecks are in your own organization, where your skill shortages are, and then use the outcome of that six week sprint to then focus on billing and gaps. Kick off the next project and iterating celebrate the success and promote the success because >>it's typically tied to a business value to help them create momentum for the next one. >>That's awesome. I want to get into some examples, I mean, or we're both Massachusetts based. Normally you'd be in our studio and we'd be sitting here for face to face of obviously with Kobe. 19. In this crisis world sheltering in place, you're up somewhere in New England. I happened to be in my studio, but I'm the only one here, so relate this to cove it. How would data ops, or maybe you have a, ah, a concrete example in terms of how it's helped, inform or actually anticipate and keep up to date with what's happening with both. >>Yeah, well, I mean, we're all experiencing it. I don't think there's a person >>on the planet who hasn't been impacted by what's been going on with this Cupid pandemic prices. >>So we started. We started down this data obscurity a year ago. I mean, this isn't something that we just decided to implement a few weeks ago. We've been working on developing the methodology, getting our own organization in place so that we could respond the next time we needed to be able todo act upon a data driven decision. So part of the step one of our journey has really been working with our global chief data officer, Interpol, who I believe you have had an opportunity to meet with an interview. So part of this year Journey has been working with with our corporate organization. I'm in a line of business organization where we've established the roles and responsibilities we've established the technology >>stack based on our cloud pack for data and Watson knowledge padlock. >>So I use that as the context. For now, we're faced with a pandemic prices, and I'm being asked in my business unit to respond very quickly. How can we prioritize the offerings that are going to help those in critical need so that we can get those products out to market? We can offer a 90 day free use for governments and hospital agencies. So in order for me to do that as a operations lead or our team, I needed to be able to have access to our financial data. I needed to have access to our product portfolio information. I needed to understand our cloud capacity. So in order for me to be able to respond with the offers that we recently announced and you'll you can take a look at some of the examples with our Watson Citizen Assistant program, where I was able to provide the financial information required for >>us to make those products available from governments, hospitals, state agencies, etcetera, >>that's a That's a perfect example. Now, to set the stage back to the corporate global, uh, the chief data office organization, they implemented some technology that allowed us to, in just data, automatically classify it, automatically assign metadata, automatically associate data quality so that when my team started using that data, we knew what the status of that information >>was when we started to build our own predictive models. >>And so that's a great example of how we've been partnered with a corporate central organization and took advantage of the automated, uh, set of capabilities without having to invest in any additional resources or head count and be able to release >>products within a matter of a couple of weeks. >>And in that automation is a function of machine intelligence. Is that right? And obviously, some experience. But you couldn't you and I when we were consultants doing this by hand, we couldn't have done this. We could have done it at scale anyway. It is it is it Machine intelligence and AI that allows us to do this. >>That's exactly right. And you know, our organization is data and AI, so we happen to have the research and innovation teams that are building a lot of this technology, so we have somewhat of an advantage there, but you're right. The alternative to what I've described is manual spreadsheets. It's querying databases. It's sending emails to subject matter experts asking them what this data means if they're out sick or on vacation. You have to wait for them to come back, and all of this was a manual process. And in the last five years, we've seen this data catalog market really become this augmented data catalog, and the augmentation means it's automation through AI. So with years of experience and natural language understanding, we can home through a lot of the metadata that's available electronically. We can calm for unstructured data, but we can categorize it. And if you have a set of business terms that have industry standard definitions through machine learning, we can automate what you and I did as a consultant manually in a matter of seconds. That's the impact that AI is have in our organization, and now we're bringing this to the market, and >>it's a It's a big >>part of where I'm investing. My time, both internally and externally, is bringing these types >>of concepts and ideas to the market. >>So I'm hearing. First of all, one of the things that strikes me is you've got multiple data, sources and data that lives everywhere. You might have your supply chain data in your er p. Maybe that sits on Prem. You might have some sales data that's sitting in a sas in a cloud somewhere. Um, you might have, you know, weather data that you want to bring in in theory. Anyway, the more data that you have, the better insights that you could gather assuming you've got the right data quality. But so let me start with, like, where the data is, right? So So it's it's anywhere you don't know where it's going to be, but you know you need it. So that's part of this right? Is being able >>to get >>to the data quickly. >>Yeah, it's funny. You bring it up that way. I actually look a little differently. It's when you start these projects. The data was in one place, and then by the time you get through the end of a project, you >>find out that it's moved to the cloud, >>so the data location actually changes. While we're in the middle of projects, we have many or even during this this pandemic crisis. We have many organizations that are using this is an opportunity to move to SAS. So what was on Prem is now cloud. But that shouldn't change the definition of the data. It shouldn't change. It's meaning it might change how you connect to it. It might also change your security policies or privacy laws. Now, all of a sudden, you have to worry about where is that data physically located? And am I allowed to share it across national boundaries right before we knew physically where it waas. So when you think about data ops, data ops is a process that sits on top of where the data physically resides. And because we're mapping metadata and we're looking at these data pipelines and automated work flows, part of the design principles are to set it up so that it's independent of where it resides. However, you have to have placeholders in your metadata and in your tool chain, where we're automating these work flows so that you can accommodate when the data decides to move. Because the corporate policy change >>from on prem to cloud. >>And that's a big part of what Data ops offers is the same thing. By the way, for Dev ops, they've had to accommodate building in, you know, platforms as a service versus on from the development environments. It's the same for data ops, >>and you know, the other part that strikes me and listening to you is scale, and it's not just about, you know, scale with the cloud operating model. It's also about what you were talking about is you know, the auto classification, the automated metadata. You can't do that manually. You've got to be able to do that. Um, in order to scale with automation, That's another key part of data office, is it not? >>It's a well, it's a big part of >>the value proposition and a lot of the part of the business case. >>Right then you and I started in this business, you know, and big data became the thing. People just move all sorts of data sets to these Hadoop clusters without capturing the metadata. And so as a result, you know, in the last 10 years, this information is out there. But nobody knows what it means anymore. So you can't go back with the army of people and have them were these data sets because a lot of the contact was lost. But you can use automated technology. You can use automated machine learning with natural, understand natural language, understanding to do a lot of the heavy lifting for you and a big part of data ops, work flows and building these pipelines is to do what we call management by exception. So if your algorithms say 80% confident that this is a phone number and your organization has a low risk tolerance, that probably will go to an exception. But if you have a you know, a match algorithm that comes back and says it's 99% sure this is an email address, right, and you have a threshold that's 98%. It will automate much of the work that we used to have to do manually. So that's an example of how you can automate, eliminate manual work and have some human interaction based on your risk threshold. >>That's awesome. I mean, you're right, the no schema on write said. I throw it into a data lake. Data Lake becomes a data swamp. We all know that joke. Okay, I want to understand a little bit, and maybe you have some other examples of some of the use cases here, but there's some of the maturity of where customers are. It seems like you've got to start by just understanding what data you have, cataloging it. You're getting your metadata act in order. But then you've got you've got a data quality component before you can actually implement and get yet to insight. So, you know, where are customers on the maturity model? Do you have any other examples that you can share? >>Yeah. So when we look at our data ops maturity model, we tried to simplify, and I mentioned this earlier that we try to simplify it so that really anybody can get started. They don't have to have a full governance framework implemented to to take advantage of the benefits data ops delivers. So what we did is we said if you can categorize your data ops programs into really three things one is how well do you know your data? Do you even know what data you have? The 2nd 1 is, and you trust it like, can you trust it's quality? Can you trust it's meeting? And the 3rd 1 is Can you put it to use? So if you really think about it when you begin with what data do you know, write? The first step is you know, how are you determining what data? You know? The first step is if you are using spreadsheets. Replace it with a data catalog. If you have a department line of business catalog and you need to start sharing information with the department's, then start expanding to an enterprise level data catalog. Now you mentioned data quality. So the first step is do you even have a data quality program, right. Have you even established what your criteria are for high quality data? Have you considered what your data quality score is comprised of? Have you mapped out what your critical data elements are to run your business? Most companies have done that for there. They're governed processes. But for these new initiatives And when you identify, I'm in my example with the covert prices, what products are we gonna help bring to market quickly? I need to be able to >>find out what the critical data elements are. And can I trust it? >>Have I even done a quality scan and have teams commented on it's trustworthiness to be used in this case, If you haven't done anything like that in your organization, that might be the first place to start. Pick the critical data elements for this initiative, assess its quality, and then start to implement the work flows to re mediate. And then when you get to putting it to use, there's several methods for making data available. One is simply making a gate, um, are available to a small set of users. That's what most people do Well, first, they make us spreadsheet of the data available, But then, if they need to have multiple people access it, that's when, like a Data Mart might make sense. Technology like data virtualization eliminates the need for you to move data as you're in this prototyping phase, and that's a great way to get started. It doesn't cost a lot of money to get a virtual query set up to see if this is the right join or the right combination of fields that are required for this use case. Eventually, you'll get to the need to use a high performance CTL tool for data integration. But Nirvana is when you really get to that self service data prep, where users can weary a catalog and say these are the data sets I need. It presents you a list of data assets that are available. I can point and click at these columns I want as part of my data pipeline and I hit go and automatically generates that output or data science use cases for it. Bad news, Dashboard. Right? That's the most mature model and being able to iterate on that so quickly that as soon as you get feedback that that data elements are wrong or you need to add something, you can do it. Push button. And that's where data obscurity should should bring organizations too. >>Well, Julie, I think there's no question that this covert crisis is accentuated the importance of digital. You know, we talk about digital transformation a lot, and it's it's certainly riel, although I would say a lot of people that we talk to we'll say, Well, you know, not on my watch. Er, I'll be retired before that all happens. Well, this crisis is accelerating. That transformation and data is at the heart of it. You know, digital means data. And if you don't have data, you know, story together and your act together, then you're gonna you're not gonna be able to compete. And data ops really is a key aspect of that. So give us a parting word. >>Yeah, I think This is a great opportunity for us to really assess how well we're leveraging data to make strategic decisions. And if there hasn't been a more pressing time to do it, it's when our entire engagement becomes virtual like. This interview is virtual right. Everything now creates a digital footprint that we can leverage to understand where our customers are having problems where they're having successes. You know, let's use the data that's available and use data ops to make sure that we can generate access. That data? No, it trust it, Put it to use so that we can respond to >>those in need when they need it. >>Julie Lockner, your incredible practitioner. Really? Hands on really appreciate you coming on the Cube and sharing your knowledge with us. Thank you. >>Thank you very much. It was a pleasure to be here. >>Alright? And thank you for watching everybody. This is Dave Volante for the Cube. And we will see you next time. >>Yeah, yeah, yeah, yeah, yeah
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from the Cube Studios in Palo Alto and Boston connecting with thought leaders all around the world. portfolio really great to see you again. Great, great to be here. from the Data and AI team to the market. But it's now something that our customers are looking for to implement I mean, I think you know, I think you know what data ops really Similarly, where you have a data pipeline that associates a This is the data that I need to be able to deliver it. for and then put it to use. So it sounds like, you know, that the business is trying to achieve but with a time element so if it's for every you know, with Dev Ops, you really bringing together of the skill sets into, sort of, in the data catalog market in the last, you know, 67 years. Meaning as you identify data assets you captured the metadata capture its meaning. But help us understand where you advise clients to start. So when we say How do you get started? it's typically tied to a business value to help them create momentum for the next or maybe you have a, ah, a concrete example in terms of how it's helped, I don't think there's a person on the planet who hasn't been impacted by what's been going on with this Cupid pandemic Interpol, who I believe you have had an opportunity to meet with an interview. So in order for me to Now, to set the stage back to the corporate But you couldn't you and I when we were consultants doing this by hand, And if you have a set of business terms that have industry part of where I'm investing. Anyway, the more data that you have, the better insights that you could The data was in one place, and then by the time you get through the end of a flows, part of the design principles are to set it up so that it's independent of where it for Dev ops, they've had to accommodate building in, you know, and you know, the other part that strikes me and listening to you is scale, and it's not just about, So you can't go back with the army of people and have them were these data I want to understand a little bit, and maybe you have some other examples of some of the use cases So the first step is do you even have a data quality program, right. And can I trust it? able to iterate on that so quickly that as soon as you get feedback that that data elements are wrong And if you don't have data, you know, Put it to use so that we can respond to Hands on really appreciate you coming on the Cube and sharing Thank you very much. And we will see you next time.
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Ritika Gunnar, IBM | IBM Think 2020
>>Yeah, >>from the Cube Studios in Palo Alto and Boston. It's the Cube covering IBM. Think brought to you by IBM. >>Everybody, this is Dave Vellante of the Cube. Welcome back. The continuous coverage that we're running here of the IBM Think Digital 2020 Experience. I'm with Radica Gunnar, who is a longtime Cube alum. She's the vice president for Data and AI. Expert labs and learning Radica. Always a pleasure. I wish we were seeing each other face to face in San Francisco. But, you know, we have to make the best. >>Always a pleasure to be with you, Dave. >>So, listen, um, we last saw each other in Miami Attain IBM data event. You hear a lot of firsts in the industry. You hear about Cloud? First, you hear about data. First hear about AI first. I'm really interested in how you see AI first coming customers. They want to operationalize ai. They want to be data first. They see cloud, you know, is basic infrastructure to get there, but ultimately they want insights out of data. And that's where AI comes in. What's your point of view on this? >>I think any client that's really trying to establish how to be able to develop a AI factory in their organization so that they're embedding AI across the most pervasive problems that they have in their order. They need to be able to start first with the data. That's why we have the AI ladder, where we really think the foundation is about how clients organized there to collect their data, organize their data, analyze it, infuse it in the most important applications and, of course, use that whole capability to be able to modernize what they're doing. So we all know to be able to have good ai, you need a good foundational information, architecture and the US A lot of the first steps we have with our clients is really starting with data doing an analysis of where are you with the data maturity? Once you have that, it becomes easier to start applying AI and then to scale AI across the business. >>So unpack that a little bit and talk about some of the critical factors and the ingredients that are really necessary to be successful. What are you seeing with customers? >>Well, to be successful with, a lot of these AI projects have mentioned. It starts with the data, and when we come to those kind of characteristics, you would often think that the most important thing is the technology. It's not that is a myth. It's not the reality. What we found is some of the most important things start with really understanding and having a sponsor who understands the importance of the AI capabilities that you're trying to be able to drive through business. So do you have the right hunger and curiosity of across your organization from top to bottom to really embark on a lot of these AI project? So that's cultural element. I would say that you have to be able to have that in beds within it, like the skills capabilities that you need to be able to have, not just by having the right data scientists or the right data engineers, but by having every person who is going to be able to touch these new applications and to use these new applications, understand how AI is going to impact them, and then it's really about the process. You know, I always talk about AI is not a thing. It's an ingredient that makes everything else better, and that means that you have to be able to change your processes. Those same applications that had Dev ops process is to be able to put it in production. Need to really consider what it means to have something that's ever changing, like AI as part of that which is also really critical. So I think about it as it is a foundation in the data, the cultural changes that you need to have from top to bottom of the organization, which includes the skills and then the process components that need to be able to change. >>Do you really talking about like Dev ops for AI data ops, I think is a term that's gonna gaining popularity of you guys have applied some of that in internally. Is that right? >>Yeah, it's about the operations of the AI life cycle in, and how you can automate as much of that is possible by AI. They're as much as possible, and that's where a lot of our investments in the Data and AI space are going into. How do you use AI for AI to be able to automate that whole AI life site that you need to be able to have in it? Absolutely >>So I've been talking a lot of C. XO CEO CEOs. We've held some C so and CEO roundtables with our data partner ET are. And one of the things that's that's clear is they're accelerating certain things as a result of code 19. There's certainly much more receptive to cloud. Of course, the first thing you heard from them was a pivot to work from home infrastructure. Many folks weren't ready, so okay, but the other thing that they've said is even in some hard hit industries, we've essentially shut down all spending, with the exception of very, very critical things, including, interestingly, our digital transformation. And so they're still on that journey. They realized the strategic imperative. Uh, and they don't want to lose out. In fact, they want to come out of this stronger AI is a critical part of that. So I'm wondering what you've seen specifically with respect to the pandemic and customers, how they're approaching ai, whether or not you see it accelerating or sort of on the same track. What are you seeing out there with clients? >>You know, this is where, um in pandemics In areas where, you know, we face a lot of uncertainty. I am so proud to be an IBM. Er, um, we actually put out offer when the pandemic started in a March timeframe. Teoh Many of our organizations and communities out there to be able to use our AI technologies to be able to help citizens really understand how Kobe 19 was gonna affect them. What are the symptoms? Where can I get tested? Will there be school tomorrow? We've helped hundreds of organizations, and not only in the public sector in the healthcare sector, across every sector be able to use AI capabilities. Like what we have with Watson assistant to be able to understand how code in 19 is impacting their constituents. As I mentioned, we have hundreds of them. So one example was Children's health care of Atlanta, where they wanted to be able to create an assistant to be able to help parents really understand what symptoms are and how to handle diagnosis is so. We have been leveraging a lot of AI technologies, especially right now, to be able to help, um, not just citizens and other organizations in the public and healthcare sector, but even in the consumer sector, really understand how they can use AI to be able to engage with their constituents a lot more closely. That's one of the areas where we have done quite a bit of work, and we're seeing AI actually being used at a much more rapid rate than ever >>before. Well, I'm excited about this because, you know, we were talking about the recovery, What there's a recovery look like is it v shaped? Nobody really expects that anymore. But maybe a U shaped. But the big concern people have, you know, this w shape recovery. And I'm hopeful that machine intelligence and data can be used to just help us really understand the risks. Uh, and then also getting out good quality information. I think it's critical. Different parts of the country in the world are gonna open at different rates. We're gonna learn from those experiences, and we need to do this in near real time. I mean, things change. Certainly there for a while they were changing daily. They kind of still are. You know, maybe we're on a slower. Maybe it's three or four times a week now, but that pace of change is critical and, you know, machine machines and the only way to keep up with that wonder if you could comment. >>Well, machines are the only way to keep, and not only that, but you want to be able to have the most up to date relevant information that's able to be communicated to the masses and ways that they can actually consume that data. And that's one of the things that AI and one of the assistant technologies that we have right now are able to do. You can continually update and train them such that they can continually engage with that end consumer and that end user and be able to give them the answers they want. And you're absolutely right, Dave. In this world, the answers change every single day and that kind of workload, um, and and the man you can't leave that alone to human laborers. Even human human labors need an assistant to be able to help them answer, because it's hard for them to keep up with what the latest information is. So using AI to be able to do that, it's absolutely critical, >>and I want to stress that I said machines you can't do without machines. And I believe that, but machines or a tool for humans to ultimately make the decisions in a crisis like this because, you see, I mean, I know we have a global audience, but here in the United States, you got you have 50 different governors making decisions about when and how certainly the federal government putting down guidelines. But the governor of Georgia is going to come back differently than the governor of New York, Different from the governor of California. They're gonna make different decisions, and they need data. And AI and Machine intelligence will inform that ultimately their public policy is going to be dictated by a combination of things which obviously includes, you know, machine intelligence. >>Absolutely. I think we're seeing that, by the way, I think many of those governors have made different decisions at different points, and therefore their constituents need to really have a place to be able to understand that as well. >>You know, you're right. I mean, the citizens ultimately have to make the decision while the governor said sick, safe to go out. You know, I'm gonna do some of my own research and you know, just like if you're if you're investing in the stock market, you got to do your own research. It's your health and you have to decide. And to the extent that firms like IBM can provide that data, I think it's critical. Where does the cloud fit in all this? I mentioned the cloud before. I mean, it seems to be critical infrastructure to get information that will talk about >>all of the capabilities that we have. They run on the IBM cloud, and I think this is where you know, when you have data that needs to be secured and needs to be trusted. And you need these AI capabilities. A lot of the solutions that I talked about, the hundreds of implementations that we have done over the past just six weeks. If you kind of take a look at 6 to 8 weeks, all of that on the IBM Public cloud, and so cloud is the thing that facilitates that it facilitates it in a way where it is secure. It is trusted, and it has the AI capabilities that augmented >>critical. There's learning in your title. Where do people go toe? Learn more How can you help them learn about AI And I think it started or keep going? >>Well, you know, we think about a lot of these technologies as it isn't just about the technology. It is about the expertise and the methodologies that we bring to bear. You know, when you talk about data and AI, you want to be able to blend the technology with expertise. Which is why are my title is expert labs that come directly from the labs and we take our learnings through thousands of different clients that we have interacted with, working with the technologies in the lab, understanding those outcomes and use cases and helping our clients be successful with their data and AI projects. So we that's what we do That's our mission. Love doing that every day. >>Well, I think this is important, because I mean, ah company, an organization the size of IBM, a lot of different parts of that organization. So I would I would advise our audience the challenge IBM and say, Okay, you've got that expertise. How are you applying that expertise internally? I mean, I've talked into public Sorry about how you know the data. Science is being applied within IBM. How that's then being brought out to the customers. So you've actually you've got a Petri dish inside this massive organization and it sounds like, you know, through the, you know, the expert labs. And so the Learning Center's you're sort of more than willing to and aggressively actually sharing that with clients. >>Yeah, I think it's important for us to not only eat our own dog food, so you're right. Interpol, The CDO Office Depot office we absolutely use our own technology is to be able to drive the insights we need for our large organization and through the learnings that we have, not only from ourselves but from other clients. We should help clients, our clients and our communities and organizations progress their use of their data and their AI. We really firmly believe this is the only way. Not only these organizations will progress that society as a whole breast, that we feel like it's part of our mission, part of our duty to make sure that it isn't just a discussion on the technology. It is about helping our clients and the community get to the outcomes that they need to using ai. >>Well, guy, I'm glad you invoke the dog food ing because, you know, we use that terminology a lot. A lot of people marketing people stepped back and said, No, no, it's sipping our champagne. Well, to get the champagne takes a lot of work, and the grapes at the early stages don't taste that pain I have to go through. And so that's why I think it's a sort of an honest metaphor, but critical your you've been a friend of the Cube, but we've been on this data journey together for many, many years. Really appreciate you coming on back on the Cube and sharing with the think audience. Great to see you stay safe. And hopefully we'll see you face to face soon. >>All right. Thank you. >>Alright. Take care, my friend. And thank you for watching everybody. This is Dave Volante for the Cube. You're watching IBM think 2020. The digital version of think we'll be right back after this short break. >>Yeah, yeah, yeah.
SUMMARY :
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Ashesh Badani, Red Hat | Red Hat Summit 2020
>>from around the globe. It's the Cube with digital coverage of Red Hat. Summit 2020 Brought to you by Red Hat. >>Yeah. Hi. And welcome back to the Cube's coverage of Red Hat Summit 2020 on stew. Minimum in this year's event, of course, happened globally. Which means we're talking to Red Hat executives, customers and partners where they are around the globe on and happy to welcome back to the program. One of our cube alumni, Badani, who is the senior vice president. Cloud platforms at Red Hat is great to see you. >>Yeah, thanks a lot for having me back on. >>Yeah, absolutely. So you know, the usual wall to wall coverage that we do in San Francisco? Well, it's now the global digital, a little bit of a dispersed architecture to do these environments. Which reminds me a little bit of your world. So, you know, the main keynote stage. You know, Paul's up There is the, you know, new CEO talking about open hybrid cloud. And of course, the big piece of that is, you know, open shift and the various products, you know, in the portfolio there, So ah, personal. We know there's not, you know, big announcements of, you know, launches and the like, But your team and the product portfolio has been going through a lot of changes. A lot of growth since last time we connected. So bring us up to speed as to what we should know about. >>Sure. Thanks s Oh, yes, not not a huge focus around announcements, this summit, especially given everything going on in the world around us today. Ah, but you know, that being said, we continue our open shift journey. We started that well, you know, many years ago. But in 2015 and we had our first release both the stone kubernetes in a container focused platform. Ever since then, you know, we continue to groan to evolve Atlassian count now over 2000 customers globally. I trusted the platform in industries that literally every industry and also obviously every job around around the globe. So that's been great to see you. And last summit, we actually announced a fairly significant enhancement of a platform with a large fortune before big focus around created manageability ability to use operators which is, you know, kubernetes concept to make applications much more manageable. um, you know, when they're being run natively within within the platform, we continue to invest. There s so there's a new release off the platform. Open shift 4.4 based on kubernetes 1.17 big made available to our customers globally. And then really, sort of this this notion of over the air updates right to create a platform that is almost autonomous in nature, you know, acts more like your your your mobile phone in the way you can manage and and update and upgrade. I think that's a key value proposition that, you know, we're providing to our customers. So we're excited to see that and then be able to share that with you. >>Yeah, so a chef won't want to dig into that a little bit. So one of the discussions we've had in the industry for many years is how much consistency there needs to be across my various environments. We know you know Kubernetes is great, but it is not a silver bullet. You know, customers will have clusters. They will have different environments. I have what I do in my data centers or close. I'm using things in the public clouds and might be using different communities offering. So you know, as you said, there's things that Red Hat is doing. But give us a little insight into your customers as to how should they be thinking about it? How do they manage it? One of the new pieces that we're building it into a little bit, of course, from a management sand point is ACM, which I know open shift today, but going toe support some of the other kubernetes options you know down the road. So how should customers be thinking about this? How does Red Hat think about managing? Did this ever complex world >>Yes, So Student should have been talking about this for several years now, right with regard to just the kind of the customers are doing. And let's start with customers for us, because it's all about you know, the value for them so that this year's summit we're announcing some innovation award winners, right? So a couple of interesting ones BMW and Ford, um, you know BMW, you know, building It's next generation autonomous driving platform using containers. And then, you know, police Massive data platform an open ship for doing a lot of interesting work with regard to, uh, bringing together. It's a development team taking advantage of existing investments in hardware and so on, You know, the in place, you know, with the platform. But also, increasingly, companies that are you know, for example, in all accept. All right, so we've got the Argentine Ministry of Health. We've got a large electricity distribution company adopting containers, adopting middleware technology, for example, on open shift until great value. Right. So network alerts when there's electricity outrage going from three minutes to 10 seconds. And so, as you now see more and more customers doing, you know, more and more if you will mission critical activities on these platforms to your points to your question is a really good one is not got clusters running in multiple markets, right? Perhaps in their own data center, across multiple clouds and managing these clusters at scale, it becomes, you know, more, more critical up. And so, you know, we've been doing a bunch of work with regard to the team, and I actually joined us from IBM has been working on this. Let's remember technology for a while, and it's part of Red Hat. We're now releasing in technology preview. Advanced cluster management trying to solve address questions around. What does it mean to manage the lifecycle of the application process? Clusters. How do I monitor and imbue cluster help? You know, regardless of you know, where they run. How do I have consistent security and compliance for my policies across the different clusters. So really excited, right? It is a really interesting technology. It's probably most advanced placement. That's our market. What? IBM working on it. We know. Well, before you know, the team from from there, you know, joined us. And now we're making it much more >>widely available. Yeah, actually, I just want one of things that really impressed some of those customers. First off. Congratulations. 2000 you know, great milestone there. And yeah, we've had We're gonna have some of the opportunity to talk on the cube. Some of those essential services you talk Ministry of Health. Obviously, with a global pandemic on critically environment, energy companies need to keep up and running. I've got Vodafone idea also from India, talking about how communication service is so essential. Pieces and definitely open shift. You know, big piece of this story asst to how they're working and managing and scaling. Um, you know, everybody talks about scale for years, but the current situation around the globe scale something that you know. It's definitely being stressed and strained and understood. What? What? What's really important? Um, another piece. Really interesting. Like to dig in a little bit here. Talk about open shift is you know, we talk kubernetes and we're talking container. But there's still a lot of virtualization out there. And then from an application development standpoint, there's You know what? Let's throw everything away and go all serverless on there. So I understand. Open shift. Io is embracing the full world and all of the options out there. So help us walk through how Red Hat maybe is doing things a little bit differently. And of course, we know anything right Does is based on open source. So let's talk about those pieces >>Yes, to super interesting areas for us. Um, one is the work we're doing based on open source project called Kube Vert, and that's part of the CN CF incubating projects. And that that is the notion off bringing virtualization into containers. And what does that mean? Obviously There are huge numbers of workloads running in which machines globally and more more customers want, you know, one control plane, one environment, one abstraction to manage workloads, whether they're running in containers or in IBM, I believe you sort of say, Can we take workloads that are running in these, uh, give, um, based which machines or, uh, VMS running in a VM based environment and then bring them natively on, run them as containers and managed by kubernetes orchestrate across this distributed cluster that we've talked about? I've been extremely powerful, and it's a very modern approach to modernizing existing applications as well as thinking about building new services. And so that's a technology that we're introducing into the platform and trying to see some early customer interest. Um, around. So, >>you know, I've got ah, no, I'm gonna have a breakout with Joe Fernandez toe talk about this a little bit, but you know what a note is you're working on. That is, you're bringing a VM into the container world and what red hat does Well, because you know your background and what red hat does is, you know, from an operating system you're really close to the application. So one of my concerns, you know, from early days of virtualization was well, let's shut things in a VM and leave it there and not make any changes as opposed to What you're describing is let's help modernize things. You know, I saw one of the announcements talking about How do I take job of workloads and bring them into the cloud? There's a project called Marcus. So once again, do I hear you right? You're bringing V M's into the container world with help to move towards that journey, to modernize everything so that we were doing a modern platform, not just saying, Hey, I can manage it with the tool that I was doing before. But that application, that's the important piece of it. >>Yeah, and it's a really good point, you know, We've you know, so much to govern, probably too little time to do it right, because the one that you touched on is really interesting. Project called caucuses right again. As you rightly pointed out, everything that is open source up, and so that's a way for us to say, Look, if we were to think about Java and be able to run that in a cloud native way, right? And be able to run, um, that natively within a container and be orchestrated again by kubernetes. What would that look like? Right, How much could be reduced density? How much could be improved performance around those existing job applications taking advantage off all the investments that companies have made but make that available in kubernetes and cloud native world. Right? And so that's what the corpus project is about. I'm seeing a lot of interest, you know, and again, because the open source model right, You don't really have companies that are adopting this, right? So there's I think there's a telecom company based out of Europe that's talking about the work that they're already doing with this. And I already blogged about it, talking about, you know, the value from a performance and use of usability perspective that they're getting with that. And then you got So you couple this idea off. How do I take BMC? Bring them into contempt? Right? Right. Existing workloads. Move that in. Run that native check. Right? Uh, the next one. How do I take existing java workloads and bring them into this modern cloud native Kubernetes space world, you know, making progress with that orchestra check. And then the third area is this notion off several lists, right? Which is, you know, I've got new applications, new services. I want to make sure that they're taking advantage, appropriate resources, but only the exact number of resources that require We do that in a way that's native to kubernetes. Right? So we're been working on implementing a K native based technologies as the foundation as the building blocks, um, off the work we're doing around serving and eventing towards leading. Ah, more confortable several institution, regardless of where you run it across any off your platform prints up. And that will also bring the ability to have functions that made available by really any provider in that same platform. So So if you haven't already to put all the pieces together right that we were thinking about this is the center of gravity is a community space platform that we make fully automated, that we make it very operational, make it easy for different. You know, third party pieces to plug in, writes to sort of make sure that it's in trouble in modular and at the same time that start layering on additional Kim. >>Yeah, I'm a lot of topics. As you said, it's Siachin. I'm glad on the serverless piece we're teasing out because it is complicated. You know, there are some that were just like, Well, from my application developer standpoint, I don't >>need to >>think about all that kubernetes and containers pieces because that's why I love it. Serverless. I just developed to it, and the platform takes care of it. And we would look at this year to go and say, Well, underneath that What is it? Is it containers? And the enter was Well, it could be containers. It depends what the platform is doing. So, you know, from from Red Hat's standpoint, you're saying open shift server lists, you know? Yes, it's kubernetes underneath there. But then I heard you talk about, you know, live aware of it is so, um, I saw there's, you know, a partner of Red Hat. It's in the open source community trigger mesh, which was entering one of the questions I had. You know, when I talk to people about serverless most of the time, it's AWS based stuff, not just lambda lots of other services. You know, I didn't interview with Andy Jassy a few years ago, and he said if I was to rebuild AWS today, everything would be built on serverless. So might some of those have containers and kubernetes under it? Maybe, but Amazon might do their own thing, so they're doing really a connection between that. So how does that plug in with what you're doing? Open shift out. All these various open sourced pieces go together. >>Yes, I would expect for us to have partnerships with several startups, right? You know you name, you know, one in our ecosystem. You know, you can imagine as your functions, you know, running on our serverless platform as well as functions provided by any third party, including those that are built and by red hat itself, Uh, you know, for the portal within this platform. Because ultimately, you know, we're building the platform to be operational, to be managed at scale to create greater productively for developments. Right? So for example, one of things we've been working on we are in the area of developer tools. Give the customers ability. Do you have you know, the product that we have is called cordon Ready workspaces. But essentially this notion off, you know, how can we take containers and give work spaces that are easy for remote developers to work with? Great example. Off customer, actually, in India that's been able to rapidly cut down time to go from Dev Productions weeks, you know, introduced because they're using, you know, things like these remote workspaces running in containers. You know, this is based on the eclipse. Ah, Apache, the the CI Project, You know, for this. So this this notion that you know, we're building a platform that can be used by ops teams? Absolutely true, but the same time the idea is, how can we now start thinking about making sure these abstractions are providing are extremely productive for development teams. >>Yeah, it's such an important piece. Last year I got the chance to go to Answerable Fest for the first time, and it was that kind of discussion that was really important, you know, can tools actually help me? Bridge between was traditionally some of those silos that they talked about, You know, the product developer that the Infrastructure and Ops team and the AB Dev teams all get things in their terminology and where they need but common platforms that cut between them. So sounds like similar methodology. We're seeing other piece of the platforms Any other, you know, guidance. You talked about all your customers there. How are they working through? You know, all of these modernizations adopting so many new technologies. Boy, you talked about like Dev ops tooling it still makes my heads. Then when I look at it, some of these charts is all the various tools and pieces that organizations are supposed to help choose and pick. Ah, out of there, they have. So how how is your team helping customers on kind of the organizational side? >>Yes. So we'll do this glass picture. So one is How do you make sure that the platform is working to help these teams? You know, by that? What I mean is, you know, we are introducing this idea and working very closely with our partners globally and on this notion of operators, right, which is every time I want to run data bases. And you know, there's so many different databases. There are, you know, up there, right? No sequel, no sequel. and in a variety of different ones for different use cases. How can you make sure that we make it easy for customers trial and then be able to to deploy them and manage them? Right? So this notion of an operator lifecycle because application much more manageable when they run with data s O. So you make you make it easier for folks to be able to use them. And then the question is, Well, what other? If you will advise to help me get that right So off late, you probably heard, you know, be hired a bunch of industry experts and brought them into red hat around this notion of a global transformation and be able to bring that expertise to know whether you know, it's the So you know, Our Deep in Dev Ops and the Dev Ops Handbook are you know, some of the things that industry is a lot like the Phoenix project and, you know, just just in various different you know what's your business and be able to start saying looking at these are told, music and share ideas with you on a couple that with things like open innovation labs that come from red hat as well as you know, similar kinds of offerings from our various partners around the world to help, you know, ease their transition into the >>All right. So final question I have for you, let's go a little bit high level. You know, as you've mentioned you and I have been having this conversation for a number of years last year or so, I've been hearing some of the really big players out there, ones that are, of course, partners of Red Hat. But they say similar things. So you know, whether it's, you know, Microsoft Azure releasing arc. If it's, you know, VM ware, which much of your open ship customers sit on top of it. But now they have, you know, the Project Pacific piece and and do so many of them talk about this, you know, heterogeneous, multi cloud environment. So how should customers be thinking about red hat? Of course. You partner with everyone, but you know, you do tend to do things a little bit different than everybody else. >>Uh, yeah. I hope we do things differently than everyone else. You know, to deliver value to customers, right? So, for example, all the things that we talk about open ship or really is about industry leading. And I think there's a bit of a transformation that's going on a swell right within the way. How Red Hat approaches things. So Sam customers have known Red Hat in the past in many ways for saying, Look, they're giving me an operating system that's, you know, democratizing, if you will. You know what the provider provides, Why I've been given me for all these years. They provided me an application server, right that, you know, uh, it's giving me a better value than what proprietary price. Increasingly, what we're doing with, you know, the work they're doing around, Let's say whether it's open shift or, you know, the next generation which ization that we talked about so on is about how can we help customers fundamentally transform how it is that they were building deploy applications, both in a new cloud native way. That's one of the existing once and what I really want to 0.2 is now. We've got it least a five year history on the open shift platform to look back at you will point out and say here are customers that are running directly on bare metal shears. Why they find, you know, this virtualization solution that you know that we're providing so interesting Here we have customers running in multiple different environments running on open stack running in these multiple private clouds are sorry public clouds on why they want distribute cluster management across all of them. You know, here's the examples that you know we could provide right? You know, here's the work we've done with, you know, whether it's these, you know, government agencies with private enterprises that we've talked to write, you know, receiving innovation awards for the world been doing together. And so I think our approach really has been more about, you know, we want to work on innovation that is fundamentally impacting customers, transforming them, meeting them where they are moving the four into the world we're going into. But they're also ensuring that we're taking advantage of all the existing investments that they've made in their skills. Right? So the advantage of, for example, the years off limits expertise that they have and saying How can we use that? Don't move you forward. >>Well, a chef's Thank you so much Absolutely. I know the customers I've talked to at Red Hat talking about not only how they're ready for today, but feel confident that they're ready to tackle the challenges of tomorrow. So thanks so much. Congratulations on all the progress and definitely look forward to seeing you again in the future. >>Likewise. Thanks, Ian Stewart. >>All right, I'm still Minuteman. And much more coverage from Red Hat Summit 2020 as always. Thanks for watching the Cube. >>Yeah, Yeah, yeah, yeah, yeah, yeah.
SUMMARY :
Summit 2020 Brought to you by Red Hat. Cloud platforms at Red Hat is great to see you. And of course, the big piece of that is, you know, I think that's a key value proposition that, you know, we're providing to our customers. So you know, as you said, the in place, you know, with the platform. Talk about open shift is you know, we talk kubernetes and we're talking container. you know, one control plane, one environment, one abstraction to manage workloads, So one of my concerns, you know, from early days of virtualization was well, let's shut things in a VM Yeah, and it's a really good point, you know, We've you know, so much to govern, probably too little time to do As you said, it's Siachin. um, I saw there's, you know, a partner of Red Hat. So this this notion that you know, and it was that kind of discussion that was really important, you know, can tools actually help it's the So you know, Our Deep in Dev Ops and the Dev Ops Handbook are you So you know, whether it's, you know, Microsoft Azure releasing arc. You know, here's the work we've done with, you know, whether it's these, you know, government agencies you again in the future. And much more coverage from Red Hat Summit 2020 as Yeah, Yeah, yeah,
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Alejandro Lopez Osornio, Argentine Ministry of Health | Red Hat Summit 2020
>>from around the globe. It's the Cube with digital coverage of Red Hat. Summit 2020 Brought to you by Red Hat. >>Hi. And welcome back to the Cube's coverage of Red Hat Summit 2020. I'm stew Minuteman. And while this year's event is being held virtually, which means we're talking to all of the guests where they're coming from, one of the things that we always love about the user conference is talking to the practitioners themselves And Red Hat Summit. Of course, we love talking to customers and really happy to welcome to the program. Uh, Alejandro Lopez Asano, who's the director of e health with the Argentine Ministry of Health, Coming to us from Buenos Iris, Argentina. Alessandro, thank you so much for joining us. Thank you for having me. All right, So Ah, you know, look, healthcare obviously is, You know, normally, you know, challenging in the midst of what is happening globally. There are strange and pressures on. What? What is happening? So really appreciate. You think with us? Um, tell us a little bit about you know, the organization, and you know your role in Nike's role in supporting the company's mission. >>I'm part of the minister of girls in Argentina, Argentina Federal country. That's a national military girls, according it's Felker Healthcare System. All around the country with different provinces work, we work with the with the Ministry of Culture, which problems with the governor of problems trying to maintain and coordination the healthcare system. And we create the national policies that tried everybody. Show them to apply on the assistance that we create national incentive. This is much more. It's similar to the US, with the national government. Create incentives the province since the states adopt new new new practices and the best quality >>Excellent. So, yeah, the anytime we talk about healthcare, you know, uh, you know, medical records, of course, critically important. It's usually a key piece of, I d you know, governance, compliance in general. So what are some of the challenges that the ministry basis when it comes to you know, this piece >>of overall health care? My role in the midst of cops is exactly that. Coordinate health information systems around the country and having and access to the single sorts of medical records around the country. It's a great thing that we're trying to achieve We don't want to have a central repository, but they're going to have some kind of have that allows you to access information for all around the country. So the fragmentation of the seat between different provinces and also having public providers and private providers. It's a challenge because the information for one patient is this. Turn a lot of different places. I need to have some kind off have or enterprise services. But you're allows you to gather this information at the point of care and to provide the best quality of care for the patient having the full road regardless of work. It was taking her before. >>Yeah, pretty Universal Challenger talking about their distributed architecture, obviously security of Paramount performance, but still has to have the scale and performance that customers need to bring us in a little bit. This this project, you know, how long has this national health information system? How long has it been to put that together, Bring us through a little bit as to you know, how you choose how to architect these pieces, >>except that we've been working on for the last three years and then be able to create an architecture that was not invasive, that anyone can collaborate and contribute to this information network, but still having the on the rights and other responsibility for Monday in their own data. And we didn't want to have a central that the rates that it's acceptable security issues or privacy issues. We wanted information to remain distributed. But to be able to collect that a 10 point so they're able to create a set off AP Eyes Bay seven Healthcare interoperability standards that allow developers off critical systems all around the country to adopt this new way of changing information to your and privately provided to the practitioners so they can access information. Another side, >>Excellent. And so three years. You know, that's a rather big project. You've got quite a lot of constituents, and obviously, you know, healthcare is, you know, completely essential and critical service. There, underneath the pieces obviously were part of Red Hat Summit covering this so help us understand a little bit, you know, Red Hat and any other partners. You know what technologies they're using to deliver this? >>That's the big challenge was to have this kind of distributed organization with a central how that needs to provide services around the country at any time today. And we really think people need to be confident that they can use this network, that we're treating patients. We don't want them to try to do it and fail from the lost confidence in that you're not going to have the greater adoption from system developers. We need to have a very strong and company in the world, and this can grow really exponentially cause data. I mean, any chess is constructing, like one billion right work on math or something like that. But we know we can grow exponentially, but we need to have some kind of infrastructure that was reliable, but it was easy to deploy the first time. But the house and growth road map that will allow us to incorporate all the extra capacity around Argentina, Mr Safeway Way, need to be confident that we can grow a dog's level. So basically we were working already. We're Kalina and all the basic things. We wanted to go to open shift. It was really important to be able to have the container station system that allows us to found according to the needs and the adoption, right? That was really unpredictable because we need to create incentives for election. But you never know how fast the adoption would be. We need to have some flexibility of attracted by open ship, but also, we need to use a P. I like the scale in order to provide this way to communicate ap eyes to give people secure form to access the FBI's to learn about them and to try. So we're using different parts off the off the stack we have in order to do that. >>Okay, great. Tell us the adoption of this solution. How was the how is the learning curve? But, you know, moving to containerized architectures. You talking about all the AP eyes in there? How much was there a retraining of your group? Were there any new people that came in? You know what was what was Red Hat's role in really the organizational pieces of getting everybody on this on this new skill set? >>Well, the role of record was central because we didn't have the capability to go on research all these open source tools and find the proper combination between the container administrated orchestrator, the continuous integration part it was really difficult for us to start from scratch. I mean, this is something that this violent wanting to have a huge team, a lot of time, special skills and when you, because there are teams were used to work in monolithic applications with a very long development cycles that every time you need to change, we need, like, three months another. See, the change lives in the application for the end user, but we need to make a radical change there. So we saw in Red Hat Opportunity. We have a robot on the container adoption program sandcastle the steps that we need to work true. So what's really good to have our 16 team to retrain and to go through the container adoption program to use the combination of tools that breath already provides, like a stock that's the really compatible with each other. Then you need to know that that is easy to update when there are changes in their security things that they need to take to get the notification. So this and you have the daily support also because we have to create a new brand developers and the Dev Ops team was negative and you have developers and very technical person that didn't know anything about the application. We helped to create the tools that this, these new roles that combined these activities on the day to day work record expert was really key to that because they give us the roadmap. But what we need to do with timeframe with thing, that sort of statement we need to do in order on give us the daily support, the retraining, and they were really excited to work. Yeah, attempting that also was really good news for them because they were using old versions of job on old versions, off deployment systems, that they were everything by heart and the common life. And now, when they learn to do that with sensible and with the continuous integration system, a lot of menial tasks that they were doing everything you know there are automated. But that's a really great impact on the quality of life for them. >>Well, it's interesting that you talk about that, you know. Automation, of course, has been something we've been talking about for decades, but critically important today, you know, 100. I'm curious with kind of the situation happening with the pandemic. You know, people are having to work from home. There needs to be social, distancing the automation. And you know some of this new tooling. You know, what impact has that had on being able to deal with today's work >>environment? That kind of very good impact also, because not only for the automation, because that was that. It's really people have a secure way to work from home to the place ever. You don't need to access directly. Each one of the servers with logging or things like that is much more secure, much safer, much easier to work from home and maintaining the city. But also the dynamic has put a strain on the system because we are maintaining in open shift the whole family objects and violence system for Argentina, and that has much more information going through all the decision making. Politicians are getting information from the violence system and make predictions the style policies and they did. That information is to be available all the time, and previously, when a new strain came like the officially system went down, what was old workings globally So but now, with open shift, we were able to dial up more resources. The system, I maintain the quality, the world, the perimeter Signet work until the decision making person that needs information just in there. >>All right, so So all 100. We've talked about kind of a transformation that you've had. There's the government impact. There's the practice, the other providers of services. If you talk about you know, the ultimate end patient, you know what is the impact on them or you know what? What you have implemented here, >>what they did, that the patients now would be able to move between different parts of this complex system we have before. It was very common that the patient arrived hospital with about full of studies in paper, like somebody from a previous hospital finishes reported lab reports. And they have to bring about Dr and don't have to go to all the way from the foundation or a basic both from a province to the capital to get terrible, especially when they go back. And the Dr in the province don't have any information about what happened on one side that said no. They will care if you but no information. I get it through the patient. But now I think the system will integrate the older caregiver around Argentina in a much more simpler where you will be able to collaborate with doctors, another throwing, sitting, other CPIs on the patient will be able to vote from private to public. We have different kind of procedures, and every information will follow him on. Everyone will be able to take care of him with the best information. >>I'll under that. That's really powerful pieces there. So I guess the last piece is a little bit about kind of where you are with the overall project. What future goals do you have for this initiative? >>You've been really happy with the way we're starting to have adoption. We have more than 37 knows not already working in this network. And so this is really good. We have a good adoption right on. The implementation of open shift is going really well. The developers are really happy. We see the impact. That there are no downtime is really good. We need to continue transforming old legacy applications, monolithic applications to transform that into micro services. This work to do in deconstructing these big applications into more scalable micro services, and we need to take more advantage off. Sorry. Scale, Because really excellent feature for Developer portal. So, like that, everything will be about the adoption of the FBI. That information much simpler when we give all those tools developed. >>That's that. Once again, Andre, thank you so much. This has been, ah, really important work that your team is doing. Congratulations on the progress that you've made and, you know, definitely hope in the future. We will get to see you at one of the Red hat summits in person. So thank you so much for joining us. Thank you very much. All right, Lots more coverage from the cube at Red Hat Summit 2020. I'm stew minimum. And thank you. As always for watching the Cube. >>Yeah, yeah, yeah, yeah.
SUMMARY :
Summit 2020 Brought to you by Red Hat. You know, normally, you know, challenging in the midst of what is happening globally. It's similar to the US, with the national government. that the ministry basis when it comes to you know, this piece but they're going to have some kind of have that allows you to access information for all around How long has it been to put that together, Bring us through a little bit as to you know, systems all around the country to adopt this new way of changing a little bit, you know, Red Hat and any other partners. I like the scale in order to provide this way to communicate ap eyes to give You talking about all the AP eyes in there? the continuous integration system, a lot of menial tasks that they were doing everything you know You know, people are having to work from home. on the system because we are maintaining in open shift the whole family objects and violence There's the practice, the other providers of services. And the Dr in the province a little bit about kind of where you are with the overall project. We see the impact. We will get to see you at one of the Red
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