Mohit Aron & Sanjay Poonen, Cohesity | Supercloud22
>>Hello. Welcome back to our super cloud 22 event. I'm John F host the cue with my co-host Dave ante. Extracting the signal from noise. We're proud to have two amazing cube alumnis here. We got Sanja Putin. Who's now the CEO of cohesive the emo Aaron who's the CTO. Co-founder also former CEO Cub alumni. The father of hyper-converged welcome back to the cube I endorsed the >>Cloud. Absolutely. Is the father. Great >>To see you guys. Thank thanks for coming on and perfect timing. The new job taking over that. The helm Mo it at cohesive big news, but part of super cloud, we wanna dig into it. Thanks for coming on. >>Thank you for having >>Us here. So first of all, we'll get into super before we get into the Supercloud. I want to just get the thoughts on the move Sanjay. We've been following your career since 2010. You've been a cube alumni from that point, we followed that your career. Why cohesive? Why now? >>Yeah, John David, thank you first and all for having us here, and it's great to be at your event. You know, when I left VMware last year, I took some time off just really primarily. I hadn't had a sabbatical in probably 18 years. I joined two boards, Phillips and sneak, and then, you know, started just invest and help entrepreneurs. Most of them were, you know, Indian Americans like me who were had great tech, were looking for the kind of go to market connections. And it was just a wonderful year to just de to unwind a bit. And along the, the way came CEO calls. And I'd asked myself, the question is the tech the best in the industry? Could you see value creation that was signi significant and you know, three, four months ago, Mohit and Carl Eschenbach and a few of the board members of cohesive called me and walk me through Mo's decision, which he'll talk about in a second. And we spent the last few months getting to know him, and he's everything you describe. He's not just the father of hyperconverge. And he wrote the Google file system, wicked smart, built a tech platform better than that second time. But we had to really kind of walk through the chemistry between us, which we did in long walks in, in, you know, discrete places so that people wouldn't find us in a Starbucks and start gossiping. So >>Why Sanjay? There you go. >>Actually, I should say it's a combination of two different decisions. The first one was to, for me to take a different role and I run the company as a CEO for, for nine years. And, you know, as a, as a technologist, I always like, you know, going deep into technology at the same time, the CEO duties require a lot of breadth, right? You're talking to customers, you're talking to partners, you're doing so much. And with the way we've been growing the with, you know, we've been fortunate, it was becoming hard to balance both. It's really also not fair to the company. Yeah. So I opted to do the depth job, you know, be the visionary, be the technologist. And that was the first decision to bring a CEO, a great CEO from outside. >>And I saw your video on the site. You said it was your decision. Yes. Go ahead. I have to ask you, cuz this is a real big transition for founders and you know, I have founder artists cuz everyone, you know, calls me that. But being the founder of a company, it's always hard to let go. I mean nine years as CEO, it's not like you had a, you had a great run. So this was it timing for you? Was it, was it a structural shift, like at super cloud, we're talking about a major shift that's happening right now in the industry. Was it a balance issue? Was it more if you wanted to get back in and in the tech >>Look, I, I also wanna answer, you know, why Sanja, but, but I'll address your question first. I always put the company first what's right for the company. Is it for me to start get stuck the co seat and try to juggle this depth and Brad simultaneously. I mean, I can stroke my ego a little bit there, but it's not good for the company. What's best for the company. You know, I'm a technologist. How about I oversee the technology part in partnership with so many great people I have in the company and I bring someone kick ass to be the CEO. And so then that was the second decision. Why Sanja when Sanjay, you know, is a very well known figure. He's managed billions of dollars of business in VMware. You know, been there, done that has, you know, some of the biggest, you know, people in the industry on his speed dial, you know, we were really fortunate to have someone like that, come in and accept the role of the CEO of cohesive. I think we can take the company to new Heights and I'm looking forward to my partnership with, with Sanja on this. >>It it's we, we called it the splash brothers and >>The, >>In the vernacular. It doesn't matter who gets the ball, whether it's step clay, we shoot. And I think if you look at some of the great partnerships, whether it was gates bomber, there, plenty of history of this, where a founder and a someone who was, it has to be complimentary skills. If I was a technologist myself and wanted to code we'd clash. Yeah. But I think this was really a match me in heaven because he, he can, I want him to keep innovating and building the best platform for today in the future. And our customers tell one customer told me, this is the best tech they've seen since VMware, 20 years ago, AWS, 10 years ago. And most recently this was a global 100 big customers. So I feel like this combination, now we have to show that it works. It's, you know, it's been three, four months. My getting to know him, you know, I'm day eight on the job, but I'm loving it. >>Well, it's a sluman model too. It's more modern example. You saw, he did it with Fred Ludy at service now. Yes. And, and of course at, at snowflake, yeah. And his book, you read his book. I dunno if you've read his book, amp it up, but app it up. And he says, I always you'll love this. Give great deference to the founder. Always show great respect. Right. And for good reason. So >>In fact, I mean you could talk to him, you actually met to >>Frank. I actually, you know, a month or so back, I actually had dinner with him in his ranch in Moana. And I posed the question. There was a number of CEOs that went there and I posed him the question. So Frank, you know, many of us, we grow being deaf guys, you know? And eventually when we take on the home of our CEO, we have to do breadth. How do you do it? And he's like, well, let me tell you, I was never a death guy. I'm a breath guy. >>I'm like, >>That's my answer. Yeah. >>So, so I >>Want the short story. So the day I got the job, I, I got a text from Frank and I said, what's your advice the first time CEO, three words, amp it up, >>Amp it up. Right? Yeah. >>And so you're always on brand, man. >>So you're an amazing operator. You've proven that time and time again at SAP, VMware, et cetera, you feel like now you, you, you wanna do both of those skills. You got the board and you got the operations cuz you look, you know, look at sloop when he's got Scarelli wherever he goes, he brings Scarelli with him as sort of the operator. How, how do you, how are you thinking >>About that? I mean it's early days, but yeah. Yeah. Small. I mean I've, you know, when I was, you know, it was 35,000 people at VMware, 80, 90,000 people at SAP, a really good run. The SAP run was 10 to 20 billion innovative products, especially in analytics and VMware six to 12 end user computing cloud. So I learned a lot. I think the company, you know, being about 2000 employees plus not to mayor tomorrow, but over the course next year I can meet everybody. Right? So first off the executive team, 10 of us, we're, we're building more and more cohesiveness if I could use that word between us, which is great, the next, you know, layers of VPs and every manager, I think that's possible. So I I'm a people person and a customer person. So I think when you take that sort of extroverted mindset, we'll bring energy to the workforce to, to retain the best and then recruit the best. >>And you know, even just the week we, we were announced that this announcement happened. Our website traffic went through the roof, the highest it's ever been, lots of resumes coming in. So, and then lots of customer engagement. So I think we'll take this, but I, I feel very good about the possibilities, because see, for me, I didn't wanna walk into the company to a company where the technology risk was high. Okay. I feel like that I can go to bed at night and the technology risk is low. This guy's gonna run a machine at the current and the future. And I'm hearing that from customers. Now, what I gotta do is get the, the amp it up part on the go to market. I know a little thing or too about >>That. You've got that down. I think the partnership is really key here. And again, nine use the CEO and then Sanja points to our super cloud trend that we've been looking at, which is there's another wave happening. There's a structural change in real time happening now, cloud one was done. We saw that transition, AWS cloud native now cloud native with an kind of operating system kind of vibe going on with on-premise hybrid edge. People say multi-cloud, but we're looking at this as an opportunity for companies like cohesive to go to the next level. So I gotta ask you guys, what do you see as structural change right now in the industry? That's disruptive. People are using cloud and scale and data to refactor their business models, change modern cases with cloud native. How are you guys looking at this next structural change that's happening right now? Yeah, >>I'll take that. So, so I'll start by saying that. Number one, data is the new oil and number two data is exploding, right? Every year data just grows like crazy managing data is becoming harder and harder. You mentioned some of those, right? There's so many cloud options available. Cloud one different vendors have different clouds. There is still on-prem there's edge infrastructure. And the number one problem that happens is our data is getting fragmented all over the place and managing so many fragments of data is getting harder and harder even within a cloud or within on-prem or within edge data is fragmented. Right? Number two, I think the hackers out there have realized that, you know, to make money, it's no longer necessary to Rob banks. They can actually see steal the data. So ransomware attacks on the rise it's become a boardroom level discussion. They say there's a ransomware attack happening every 11 seconds or so. Right? So protecting your data has become very important security data. Security has become very important. Compliance is important, right? So people are looking for data management solutions, the next gen data management platform that can really provide all this stuff. And that's what cohesive is about. >>What's the difference between data management and backup. Explain that >>Backup is just an entry point. That's one use case. I wanna draw an analogy. Let's draw an analogy to my former company, Google right? Google started by doing Google search, but is Google really just a search engine. They've built a platform that can do multiple things. You know, they might have started with search, but then they went down to roll out Google maps and Gmail and YouTube and so many other things on that platform. So similarly backups might be just the first use case, but it's really about that platform on which you can do more with the data that's next gen data management. >>But, but you am, I correct. You don't consider yourself a security company. One of your competitors is actually pivoting and in positioning themselves as a security company, I've always felt like data management, backup and recovery data protection is an adjacency to security, but those two worlds are coming together. How do you see >>It? Yeah. The way I see it is that security is part of data management. You start maybe by backing with data, but then you secure it and then you do more with that data. If you're only doing security, then you're just securing the data. You, you gotta do more with the data. So data management is much bigger. So >>It's a security is a subset of data. I mean, there you go. Big TA Sanjay. >>Well, I mean I've, and I, I, I I'd agree. And I actually, we don't get into that debate. You know, I've told the company, listen, we'll figure that out. Cuz who cares about the positioning at the bottom? My email, I say we are data management and data security company. Okay. Now what's the best word that describes three nouns, which I think we're gonna do management security and analytics. Okay. He showed me a beautiful diagram, went to his home in the course of one of these, you know, discrete conversations. And this was, I mean, he's done this before. Many, if you watch on YouTube, he showed me a picture of an ice big iceberg. And he said, listen, you know, if you look at companies like snowflake and data bricks, they're doing the management security and mostly analytics of data. That's the top of the iceberg, the stuff you see. >>But a lot of the stuff that's get backed archive is the bottom of the iceberg that you don't see. And you try to, if you try to ask a question on age data, the it guy will say, get a ticket. I'll come back with three days. I'll UNIV the data rehydrate and then you'll put it into a database. And you can think now imagine that you could do live searches analytics on, on age data that's analytics. So I think the management, the security, the analytics of, you know, if you wanna call it secondary data or backed up data or data, that's not hot and live warm, colder is a huge opportunity. Now, what do you wanna call one phrase that describes all of it. Do you call that superpower management security? Okay, whatever you wanna call it. I view it as saying, listen, let's build a platform. >>Some people call Google, a search company. People, some people call Google and information company and we just have to go and pursue every CIO and every CSO that has a management and a security and do course analytics problem. And that's what we're doing. And when I talk to the, you know, I didn't talk to all the 3000 customers, but the biggest customers and I was doing diligence. They're like this thing has got enormous potential. Okay. And we just have to now go focus, get every fortune 1000 company to pick us because this problem, even the first use case you talk back up is a little bit like, you know, razor blades and soap you've needed. You needed it 30 years ago and you'll need it for 30 years. It's just that the tools that were built in the last generation that were companies formed in 1990s, one of them I worked for years ago are aids are not built for the cloud. So I think this is a tremendous opportunity where many of those, those, those nos management security analytics will become part of what we do. And we'll come up with the right phrase for what the companies and do course >>Sanjay. So ma and Sanja. So given that given that's this Google transition, I like that example search was a data problem. They got sequenced to a broader market opportunity. What super cloud we trying to tease out is what does that change over from a data standpoint, cuz now the operating environments change has become more complex and the enterprises are savvy. Developers are savvy. Now they want, they want SAS solutions. They want freemium and expanding. They're gonna drive the operations agenda with DevOps. So what is the complexity that needs to be abstracted away? How do you see that moment? Because this is what people are talking about. They're saying security's built in, driven by developers. Developers are driving operations behavior. So what is the shift? Where do you guys see this new? Yeah. Expansive for cohesive. How do you fit into super cloud? >>So let me build up from that entry point. Maybe back up to what you're saying is the super cloud, right? Let me draw that journey. So let's say the legacy players are just doing backups. How, how sad is it that you have one silo sitting there just for peace of mind as an insurance policy and you do nothing with the data. If you have to do something with the data, you have to build another silo, you have to build another copy. You have to manage it separately. Right. So clearly that's a little bit brain damaged. Right. So, okay. So now you take a little bit of, you know, newer vendors who may take that backup platform and do a little bit more with that. Maybe they provide security, but your problem still remains. How do you do more with the data? How do you do some analytics? >>Like he's saying, right. How do you test development on that? How do you migrate the data to the cloud? How do you manage it? The data at scale? How do you do you provide a unified experience across, across multiple cloud, which you're calling the super cloud. That's where cohesive goes. So what we do, we provide a platform, right? We have tentacles in on-prem in each of the clouds. And on top of that, it looks like one platform that you manage. We have a single control plane, a UI. If you may, a single pin of glass, if, if you may, that our customers can use to manage all of it. And now it looks, starts looking like one platform. You mentioned Google, do you, when you go to, you know, kind Google search or a URL, do you really care? What happens behind the scenes mean behind the scenes? Google's built a platform that spans the whole world. No, >>But it's interesting. What's behind the scenes. It's a beautiful now. And I would say, listen, one other thing to pull on Dave, on the security part, I saw a lot of vendors this day in this space, white washing a security message on top of backup. Okay. And CSO, see through that, they'll offer warranties and guarantees or whatever, have you of X million dollars with a lot of caveats, which will never paid because it's like escape clause here. We won't pay it. Yeah. And, and what people really want is a scalable solution that works. And you know, we can match every warranty that's easy. And what I heard was this was the most scalable solution at scale. And that's why you have to approach this with a Google type mindset. I love the fact that every time you listen to sun pitch, I would, what, what I like about him, the most common word to use is scale. >>We do things at scale. So I found that him and AUR and some of the early Google people who come into the company had thought about scale. And, and even me it's like day eight. I found even the non-tech pieces of it. The processes that, you know, these guys are built for simple things in some cases were better than some of the things I saw are bigger companies I'd been used to. So we just have to continue, you know, building a scale platform with the enterprise. And then our cloud product is gonna be the simple solution for the masses. And my view of the world is there's 5,000 big companies and 5 million small companies we'll push the 5 million small companies as the cloud. Okay. Amazon's an investor in the company. AWS is a big partner. We'll talk about I'm sure knowing John's interest in that area, but that's a cloud play and that's gonna go to the cloud really fast. You not build you're in the marketplace, you're in the marketplace. I mean, maybe talk about the history of the Amazon relationship investing and all that. >>Yeah, absolutely. So in two years back late 2020, we, you know, in collaboration with AWS who also by the way is an investor now. And in cohesive, we rolled out what we call data management as a service. It's our SaaS service where we run our software in the cloud. And literally all customers have to do is just go there and sign on, right? They don't have to manage any infrastructure and stuff. What's nice is they can then combine that with, you know, software that they might have bought from cohesive. And it still looks like one platform. So what I'm trying to say is that they get a choice of the, of the way they wanna consume our software. They can consume it as a SAS service in the cloud. They can buy our software, manage it themselves, offload it to a partner on premises or what have you. But it still looks like that one platform, what you're calling a Supercloud >>Yeah. And developers are saying, they want the bag of Legos to compose their solutions. That's the Nirvana they want to get there. So that's, it has to look the same. >>Well, what is it? What we're calling a Superlo can we, can we test that for a second? So data management and service could span AWS and on-prem with the identical experience. So I guess I would call that a Supercloud I presume it's not gonna through AWS span multiple clouds, but, but >>Why not? >>Well, well interesting cuz we had this, I mean, so, okay. So we could in the future, it doesn't today. Well, >>David enough kind of pause for a second. Everything that we do there, if we do it will be customer driven. So there might be some customers I'll give you one Walmart that may want to store the data in a non AWS cloud risk cuz they're competitors. Right. So, but the control plane could still be in, in, in the way we built it, but the data might be stored somewhere else. >>What about, what about a on-prem customer? Who says, Hey, I, I like cohesive. I've now got multiple clouds. I want the identical experience across clouds. Yeah. Okay. So, so can you do that today? How do you do that today? Can we talk >>About that? Yeah. So basically think roughly about the split between the data plane and the control plane, the data plane is, you know, our cohesive clusters that could be sitting on premises that could be sitting in multiple data centers or you can run an instance of that cluster in the cloud, whichever cloud you choose. Right. That's what he was referring to as the data plane. So collectively all these clusters from the data plane, right? They stored the data, but it can all be managed using the control plane. So you still get that single image, the single experience across all clouds. And by the way, the, the, the, the cloud vendor does actually benefit because here's a customer. He mentioned a customer that may not wanna go to AWS, but when they get the data plane on a different cloud, whether it's Azure, whether it's the Google cloud, they then get data management services. Maybe they're able to replicate the data over to AWS. So AWS also gains. >>And your deployment model is you instantiate the cohesive stack on each of the regions and clouds, is that correct? And you building essentially, >>It all happens behind the scenes. That's right. You know, just like Google probably has their tentacles all over the world. We will instantiate and then make it all look like one platform. >>I mean, you should really think it's like a human body, right? The control planes, the head. Okay. And that controls everything. The data plane is large because it's a lot of the data, right? It's the rest of the body, that data plane could be wherever you want it to be. Traditionally, the part the old days was tape. Then you got disk. Now you got multiple clouds. So that's the way we think about it. And there on that piece of it will be neutral, right? We should be multi-cloud to the data plane being every single place. Cause it's customer demand. Where do you want your store data? Air gapped. On-prem no problem. We'll work with Dell. Okay. You wanna be in a particular cloud, AWS we'll work then optimized with S3 and glacier. So this is where I think the, the path to a multi-cloud or Supercloud is to be customer driven, but the control plane sits in Amazon. So >>We're blessed to have a number of, you know, technical geniuses in here. So earlier we were speaking to Ben wa deja VI, and what they do is different. They don't instantiate an individual, you know, regions. What they do is of a single global. Is there a, is there an advantage of doing it the way the cohesive does it in terms of simplicity or how do you see that? Is that a future direction for you from a technology standpoint? What are the trade offs there? >>So you want to be where the data is when you said single global, I take it that they run somewhere and the data has to go there. And in this day age, correct >>Said that. He said, you gotta move that in this >>Day and >>Age query that's, you know, across regions, look >>In this day and age with the way the data is growing, the way it is, it's hard to move around the data. It's much easier to move around the competition. And in these instances, what have you, so let the data be where it is and you manage it right there. >>So that's the advantage of instantiating in multiple regions. As you don't have to move the >>Data cost, we have the philosophy we call it. Let's bring the, the computation to the data rather than the data to >>The competition and the same security model, same governance model, same. How do you, how do you federate that? >>So it's all based on policies. You know, this overarching platform controlled by, by the control plane, you just, our customers just put in the policies and then the underlying nuts and bolts just take care >>Of, you know, it's when I first heard and start, I started watching some of his old videos, ACE really like hyperconverged brought to secondary storage. In fact, he said, oh yeah, that's great. You got it. Because I first called this idea, hyperconverged secondary storage, because the idea of him inventing hyperconverge was bringing compute to storage. It had never been done. I mean, you had the kind of big VC stuff, but these guys were the first to bring that hyperconverge at, at Nutanix. So I think this is that same idea of bringing computer storage, but now applied not to the warm data, but to the rest of the data, including a >>Lot of, what about developers? What's, what's your relationship with developers? >>Maybe you talk about the marketplace and everything >>He's yeah. And I'm, I'm curious as to do you have a PAs layer, what we call super PAs layer to create an identical developer experience across your Supercloud. I'm gonna my >>Term. So we want our customers not just to benefit from the software that we write. We also want them to benefit from, you know, software that's written by developers by third party people and so on and so forth. So we also support a marketplace on the platform where you can download apps from third party developers and run them on this platform. There's a, a number of successful apps. There's one, you know, look like I said, our entry point might be backups, but even when backups, we don't do everything. Look, for instance, we don't backup mainframes. There is a, a company we partner with, you know, and their software can run in our marketplace. And it's actually used by many, many of our financial customers. So our customers don't get, just get the benefit of what we build, but they also get the benefit of what third parties build. Another analogy I like to draw. You can tell. And front of analogy is I drew an analogy to hyperscale is like Google. Yeah. The second analogy I like to draw is that to a simple smartphone, right? A smartphone starts off by being a great phone. But beyond that, it's also a GPS player. It's a, it's a, it's a music player. It's a camera, it's a flashlight. And it also has a marketplace from where you can download apps and extend the power of that platform. >>Is that a, can we think of that as a PAs layer or no? Is it really not? You can, okay. You can say, is it purpose built for what you're the problem that you're trying to solve? >>So we, we just built APIs. Yeah. Right. We have an SDK that developers can use. And through those APIs, they get to leverage the underlying services that exist on the platform. And now developers can use that to take advantage of all that stuff. >>And it was, that was a key factor for me too. Cause I, what I, you know, I've studied all the six, seven players that sort of so-called leaders. Nobody had a developer ecosystem, nobody. Right? The old folks were built for the hardware era, but anyones were built for the cloud to it didn't have any partners were building on their platform. So I felt for me listen, and that the example of, you know, model nine rights, the name of the company that does back up. So there's, there's companies that are built on and there's a number of others. So our goal is to have a big tent, David, to everybody in the ecosystem to partner with us, to build on this platform. And, and that may take over time, but that's the way we're build >>It. And you have a metadata layer too, that has the intelligence >>To correct. It's all abstract. That that's right. So it's a combination of data and metadata. We have lots of metadata that keeps track of where the data is. You know, it allows you to index the data you can do quick searches. You can actually, you, we talking about the control plan from that >>Tracing, >>You can inject a search that'll through search throughout your multi-cloud environment, right? The super cloud that you call it. We have all that, all that goodness sounds >>Like a Supercloud John. >>Yeah. I mean, data tracing involved can trace the data lineage. >>You, you can trace the data lineage. So we, you know, provide, you know, compliance and stuff. So you can, >>All right. So my final question to wrap up, we guys, first of all, thanks for coming on. I know you're super busy, San Jose. We, we know what you're gonna do. You're gonna amp it up and, you know, knock all your numbers out. Think you always do. But what I'm interested in, what you're gonna jump into, cuz now you're gonna have the creative license to jump in to the product, the platform there has to be the next level in your mind. Can you share your thoughts on where this goes next? Love the control plane, separate out from the data plane. I think that plays well for super. How >>Much time do you have John? This guy's got, he's got a wealth. Ditis keep >>Going. Mark. Give us the most important thing you're gonna focus on. That kind of brings the super cloud and vision together. >>Yeah. Right away. I'm gonna, perhaps I, I can ion into two things. The first one is I like to call it building the, the machine, the system, right. Just to draw an analogy. Look, I draw an analogy to the us traffic system. People from all walks of life, rich, poor Democrats, Republicans, you know, different states. They all work in the, the traffic system and we drive well, right. It's a system that just works. Whereas in some other countries, you know, the system doesn't work. >>We know, >>We know a few of those. >>It's not about works. It's not about the people. It's the same people who would go from here to those countries and, and not dry. Well, so it's all about the system. So the first thing I, I have my sights on is to really strengthen the system that we have in our research development to make it a machine. I mean, it functions quite well even today, but wanna take it to the next level. Right. So that I wanna get to a point where innovation just happens in the grassroots. And it just, just like >>We automations scale optic brings all, >>Just happens without anyone overseeing it. Anyone there's no single point of bottleneck. I don't have to go take any diving catches or have you, there are people just working, you know, in a decentralized fashion and innovation just happens. Yeah. The second thing I work on of course is, you know, my heart and soul is in, you know, driving the vision, you know, the next level. And that of course is part of it. So those are the two things >>We heard from all day in our super cloud event that there's a need for an, an operating system. Yeah. Whether that's defacto standard or open. Correct. Do you see a consortium around the corner potentially to bring people together so that things could work together? Cuz there really isn't no stand there. Isn't a standards bodies. Now we have great hyperscale growth. We have on-prem we got the super cloud thing happening >>And it's a, it's kind of like what is an operating system? Operating system exposes some APIs that the applications can then use. And if you think about what we've been trying to do with the marketplace, right, we've built a huge platform and that platform is exposed through APIs. That third party developers can use. Right? And even we, when we, you know, built more and more services on top, you know, we rolled our D as we rolled out, backup as a service and a ready for thing security as a service governance, as a service, they're using those APIs. So we are building a distributor, putting systems of sorts. >>Well, congratulations on a great journey. Sanja. Congratulations on taking the hem. Thank you've got ball control. Now you're gonna be calling the ball cohesive as they say, it's, >>It's a team. It's, you know, I think I like that African phrase. If you want to go fast, you go alone. If you wanna go far, you go together. So I've always operated with the best deal. I'm so fortunate. This is to me like a dream come true because I always thought I wanted to work with a technologist that frees me up to do what I like. I mean, I started as an engineer, but that's not what I am today. Right? Yeah. So I do understand the product and this category I think is right for disruption. So I feel excited, you know, it's changing growing. Yeah. No. And it's a, it requires innovation with a cloud scale mindset and you guys have been great friends through the years. >>We'll be, we'll be watching you. >>I think it's not only disruption. It's creation. Yeah. There's a lot of white space that just hasn't been created yet. >>You're gonna have to, and you know, the proof, isn't the pudding. Yeah. You already have five of the biggest 10 financial institutions in the us and our customers. 25% of the fortune 500 users, us two of the biggest five pharmaceutical companies in the world use us. Probably, you know, some of the biggest companies, you know, the cars you have, you know, out there probably are customers. So it's already happening. >>I know you got an IPO filed confidentially. I know you can't talk numbers, but I can tell by your confidence, you're feeling good right now we are >>Feeling >>Good. Yeah. One day, one week, one month at a time. I mean, you just, you know, I like the, you know, Jeff Bezos, Andy jazzy expression, which is, it's always day one, you know, just because you've had success, even, you know, if, if a and when an IPO O makes sense, you just have to stay humble and hungry because you realize, okay, we've had a lot of success in the fortune 1000, but there's a lot of white space that hasn't picked USS yet. So let's go, yeah, there's lots of midmarket account >>Product opportunities are still, >>You know, I just stay humble and hungry and if you've got the team and then, you know, I'm really gonna be working also in the ecosystem. I think there's a lot of very good partners. So lots of ideas brew through >>The head. Okay. Well, thank you so much for coming on our super cloud event and, and, and also doubling up on the news of the new appointment and congratulations on the success guys. Coverage super cloud 22, I'm sure. Dave ante, thanks for watching. Stay tuned for more segments after this break.
SUMMARY :
Who's now the CEO of cohesive the emo Aaron who's the CTO. Is the father. To see you guys. So first of all, we'll get into super before we get into the Supercloud. Most of them were, you know, There you go. So I opted to do the depth job, you know, be the visionary, cuz this is a real big transition for founders and you know, I have founder artists cuz everyone, some of the biggest, you know, people in the industry on his speed dial, you And I think if you look at And his book, you read his book. So Frank, you know, many of us, we grow being Yeah. So the day I got the job, I, I got a text from Frank and I said, Yeah. You got the board and you got the operations cuz you look, you know, look at sloop when he's got Scarelli wherever he goes, I think the company, you know, being about 2000 employees And you know, even just the week we, we were announced that this announcement happened. So I gotta ask you guys, what do you see as structural change right now in the industry? Number two, I think the hackers out there have realized that, you know, What's the difference between data management and backup. just the first use case, but it's really about that platform on which you can How do you see You start maybe by backing with data, but then you secure it and then you do more with that data. I mean, there you go. And he said, listen, you know, if you look at companies like snowflake and data bricks, the analytics of, you know, if you wanna call it secondary data or backed up data or data, you know, I didn't talk to all the 3000 customers, but the biggest customers and I was doing diligence. How do you see that moment? So now you take a little bit of, And on top of that, it looks like one platform that you I love the fact that every time you have to continue, you know, building a scale platform with the enterprise. we, you know, in collaboration with AWS who also by the way is an investor So that's, it has to look the same. So I guess I would call that a Supercloud So we could in the future, So there might be some customers I'll give you one Walmart that may want to store the data in a non How do you do that today? the data plane is, you know, our cohesive clusters that could be sitting on premises that could be sitting It all happens behind the scenes. So that's the way we think about it. We're blessed to have a number of, you know, technical geniuses in here. So you want to be where the data is when you said single global, He said, you gotta move that in this so let the data be where it is and you manage it right there. So that's the advantage of instantiating in multiple regions. to the data rather than the data to The competition and the same security model, same governance model, same. by the control plane, you just, our customers just put in the policies and then the underlying nuts and bolts just I mean, you had the kind of big VC stuff, but these guys were the first to bring layer to create an identical developer experience across your Supercloud. So we also support a marketplace on the platform where you can download apps from Is that a, can we think of that as a PAs layer or no? And through those APIs, they get to leverage the underlying services that So I felt for me listen, and that the example of, you know, model nine rights, You know, it allows you to index the data you can do quick searches. The super cloud that you call it. So we, you know, provide, you know, compliance and stuff. You're gonna amp it up and, you know, knock all your numbers out. Much time do you have John? That kind of brings the super cloud and vision together. you know, the system doesn't work. I have my sights on is to really strengthen the system that we have in our research you know, driving the vision, you know, the next level. Do you see a consortium around the corner potentially to bring people together so that things could work together? And even we, when we, you know, built more and more services on top, you know, Congratulations on taking the hem. So I feel excited, you know, it's changing growing. I think it's not only disruption. Probably, you know, some of the biggest companies, you know, the cars you have, you know, I know you can't talk numbers, but I can tell by your confidence, I mean, you just, you know, I like the, you know, you know, I'm really gonna be working also in the ecosystem. the news of the new appointment and congratulations on the success guys.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Frank | PERSON | 0.99+ |
Sanjay | PERSON | 0.99+ |
David | PERSON | 0.99+ |
Jeff Bezos | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
John David | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
10 | QUANTITY | 0.99+ |
Aaron | PERSON | 0.99+ |
Dell | ORGANIZATION | 0.99+ |
Sanjay Poonen | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
six | QUANTITY | 0.99+ |
Sanja Putin | PERSON | 0.99+ |
John | PERSON | 0.99+ |
1990s | DATE | 0.99+ |
Carl Eschenbach | PERSON | 0.99+ |
Brad | PERSON | 0.99+ |
nine years | QUANTITY | 0.99+ |
five | QUANTITY | 0.99+ |
Walmart | ORGANIZATION | 0.99+ |
Scarelli | PERSON | 0.99+ |
Moana | LOCATION | 0.99+ |
one month | QUANTITY | 0.99+ |
San Jose | LOCATION | 0.99+ |
25% | QUANTITY | 0.99+ |
John F | PERSON | 0.99+ |
Mohit | PERSON | 0.99+ |
Sanja | ORGANIZATION | 0.99+ |
Sanja | PERSON | 0.99+ |
today | DATE | 0.99+ |
Fred Ludy | PERSON | 0.99+ |
three days | QUANTITY | 0.99+ |
next year | DATE | 0.99+ |
Nutanix | ORGANIZATION | 0.99+ |
one week | QUANTITY | 0.99+ |
3000 customers | QUANTITY | 0.99+ |
three | QUANTITY | 0.99+ |
35,000 people | QUANTITY | 0.99+ |
2010 | DATE | 0.99+ |
Starbucks | ORGANIZATION | 0.99+ |
AUR | ORGANIZATION | 0.99+ |
18 years | QUANTITY | 0.99+ |
30 years | QUANTITY | 0.99+ |
Mohit Aron | PERSON | 0.99+ |
last year | DATE | 0.99+ |
four months | QUANTITY | 0.99+ |
Dave | PERSON | 0.99+ |
both | QUANTITY | 0.99+ |
tomorrow | DATE | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
10 years ago | DATE | 0.99+ |
three | DATE | 0.99+ |
one platform | QUANTITY | 0.99+ |
second time | QUANTITY | 0.98+ |
30 years ago | DATE | 0.98+ |
Mo | PERSON | 0.98+ |
Mark | PERSON | 0.98+ |
One day | QUANTITY | 0.98+ |
second analogy | QUANTITY | 0.98+ |
first thing | QUANTITY | 0.98+ |
two things | QUANTITY | 0.98+ |
Cub | ORGANIZATION | 0.98+ |
Dirk Didascalou, AWS | AWS re:Invent 2019
>>LA from Las Vegas. It's the cube covering AWS. Reinvent 20 nineteens brought to you by Amazon web services and they don't care along with its ecosystem partners. >>Hey, welcome back. Everyone is the cubes live covers in Las Vegas for AWS. Reinvent 2019 it's our seventh year covering Amazon reinvent. They've only had the conference for eight years. We've been documenting history. I'm John Farrow, stupid man. Dave Alante, John Walls, Jeff, Rick, they're all on the other step two sets sponsored by Intel. Want to thank their support without their generous support to our mission. We wouldn't be able to bring this great content. Our next guest to talk about the IOT edge jerk DDoSs column. Perfect. Welcome back. VP of IOT. Well the Greek names. Yeah, I'm half Greek, half German so I can expect, okay. Is smart. Good. So Derek, I gotta ask you, so IOT is hot. Explain quickly your role at AWS because you're not an I-Team specifically define your scope. So my scope is owning all or my team's sculpt is owning old software services and tools that deal with non it equipment. >>So when you go to AWS and look for IOT, all the service that you'll find, that's the scope of my teams and this it group which have all the it stuff and just feels like cars, manufacturing sensors, all of the axioms for the NFL, all that good stuff. So women, you're going to see Edelweiss so I go AWS, amazon.com and then you're fine either. means all of our compute, all of our databases, all of our storage and there's also all of our and Melanie and I and then there's an IOT section and there you find all of the goodness that we do for IOT. You know, it's exciting. Stu and I talking about all week here, the whole cloud native, you take the T out of cloud native, it's cloud naive. You've got the general commercial business and public sector barely getting their act together. They're transforming, they're doing it now. >>He's $1 trillion on a vouch. Trillions of dollars of of change coming. Good up business opportunity. But if they're having trouble transforming, you get this whole new world of industrial edge which requires computing cars manufactured. This is a hot area. So a lot of change happening. What is the most important story people should pay attention to in your area that that's notable for this collision of all this transformation? I think maybe the most notable story that we currently have is a corporation that they do with the VW, which is the largest a car manufacturer. And you were just lucky that via their CIO mountain Huffman being part of Verona for good's keynote, our CTO. So if you haven't seen that, just go and review the keynote of Verner and then as the larger part then he was talking about all of that, what he calls industrial 4.0, this digitization fourth revolution. And Martin did an awesome job explaining what are we doing together with them to build their industrial cloud. Yeah. >>Uh, well, one of the things we've been really watching is the, the extent that Amazon services are starting to push out. Uh, I've been super excited, really looking at some of the growth of there. Your team did a bunch of announcements ahead of the show including the one that caught my eye the most was the IOT green grass sport for Lambda and Docker. Maybe start there and walk us through some of the new pieces that in your org. Okay. >>Maybe for us to understand the offer three type of offerings for our customers. One is device software, which might sound strange that a cloud company actually gives you a software that it's not running on the cloud, but then you're talking about IOT. You need software running on your devices in order to be able to be controlled and communicate with the cloud and we have an offering in that area which is called IOT Greenglass, which is a software runtime that you can install on edge devices like gateways for example, and via announced junior additions to our IOT Greenglass. One is Docker supports, which was very important because up till now green were supporting machine learning at the edge and Lambda, which is our service offering, but many companies now more established enterprises said, you know what, I have legacy applications which I can package. Can I deploy them as well? >>Now you can deploy Docker containers, Lambda functions, and a melody edge all with one goal with green glass at the edge. So that was one of the announcements we did for our device >> software. They're, I want to get your thoughts on an area that we're reporting on and doing a lot of investigation, collecting a lot of data, talking to a lot of people and that's around the industrial IOT or IOT, industrial IOT. And one of our big concerns, I want to get your reaction to this and thoughts is security is of paramount importance because it's not just a DDoS attack or some malware which is causing credit card data or these kinds of theft. You could actually take over machines. People could die this and serious issues around the guarantee. This is the number one conversation. What is the state of the art security posture in your area around software and the edge? >>So at AWS, whether it's IOT or any other workloads, we always say if you have two primary zeros, one is security and one is operations. Because if any company puts their faith in us, if we are down, their business is down and if there would be any security issues, of course all the trust would be broken and we do the exact same approach. Now with IOT, so we built our services with security in mind. For example, when you connect to AWS IOT core, every single individual device needs to have certificates to be identified. If you require that you can encrypt your data, it doesn't even lo you to connect to the cloud without encryption. We have software, as I said, at the edge with Amazon free artists and Greengrass where we support all of the hardware TM modules that you have security postures there. If you have secrets managers, they even have an award winning clout. >>If you're like security tool, which is called IOT device management, but at any given point in time audits but the you configured correctly and does something like detection. If something's going wrong, like when you get your credit card and said, Hey, by the way, have you been in this country? Candy making any purchase? If you figure out if something's going wrong with your device >> and you feel good that it's built in from zero, I mean you've got DNS tax going on. What? I mean you feel comfortable that it's, I mean we believe whatever we build, you can never be 100% sure and security is always evolving. But we believe that we are at the forefront of being, you're always the latest and greatest technology at the hands of our customers. >>Jerks. That's really powerful. Cause I saw one of the other announcements was really taking the Alexa voice service integration, but if I understand it rightly, it pulls that core along. So you know part of me was like, it's like okay Alexa enabled everywhere. That's great. I don't need 700 devices in my house that all have that. But the security piece is going to be needed everywhere. So help us tease that out. >>Maybe, maybe don't understand what we did you ask about the other launches. We also launched something called AVS integration for IUT and AVS stands for Alexa voice services. So if you know Alexa, that's our digital assistant that runs for example an equity devices, but if you want to build a device as a third party, which you can directly talk to media, there's microphones and speakers that is called AVS or Alexa built in devices and if you wanted to build one today you needed to put quite some resources onto this device because it needs to understand you. It needs to have a lot of audio processing. That means there's a lot of memory involved and quite some processing. Now I'm using some technical terms. You need something like a cortex, a CPU which makes this device expensive. So the bill of material is quite elevated and we were working with our Alexa team saying is how can we make this really, really affordable? >>If you found a trick where we said let's offload all of this audio processing to the cloud that you an eSense can build very dumb devices. The only thing that these devices don't need to do is have microphones, have our speaker and what we call a week work detection. They need to wake up and you say, Alexa, echo computer, everything else gets streamed to the cloud. Ptosis sits there and comes back so that you can reduce cost for those devices by at least a factor of half. And we had a great customer on stage as well because if you can make so cheap Alexa built in devices, you can put this into a light switch and iDevices now believe it or not, non-sales light switch. Yup. Which you can now directly talk to, reach, talks back and place your music. They're talking about your role. Again, I want to understand that you are not technical side, your development teams. What are you, what do you do on a daily basis? What's your job? So officially I'm a VP of engineering, so I'm a tech guy, so I love the hoodie. By the way. This is tech. That's because I'm on video. Okay. >>It looks great. So I'm an engineer by Heights and at Amazon we don't have a separation between businesses and product management and engineering. They call it a single thread of leaders that we believe the teams have to own it all. So that means my teams on everything from the conception of their services, the development operations that what be called dev ops and also the business behind. So that means all of the services, whether it's free outro, screen grabs at the edge, but it's IOT core device management and defender or our data services like IOT analytics or your talked about industrial site wise, their health or being conceived by my teams. They have all been developed and they are all operated today so that all customers can use that as it make. What should people >>totally does. Thanks for clarifying. That's awesome. Uh, what should people pay attention to? What should we be reporting on in your area? What are some of the key things that people watching this should pay attention to in this, in your IOT area? What are the most important items and products and services that you're doing? I think >>one of the most important things to understand is be talk just before the interview about this, that a lot of the technical hurdles actually solve that because we have the software on devices, we have the connectivity controlled services, and we have all the analytic services to make sense of the data that you can take actions. You don't need to be an expert in machine learning anymore to do machine learning at AWS. You don't have to be an embedded software developer to get connected devices. You don't have to be a data scientist to understand what your data does. The most interesting part though is there is a cultural aspect of this because in the past you had to ideally most likely in your old company join said, Oh, I would like to connect something, so do I have a purchase acquisition? Can I go to my finance team? Does it install this today? You don't need that anymore. With AWS IOT, the same thing that happens with the cloud and it happens with IOT. So understanding that via very powerful tools for engineers in the company that you can build at any given point in time. I think that's maybe the most, >>and I think the it, I think that whole process of the time it takes, they go to the airport on Thanksgiving, go through TSA and knows all that pre ocracy. And then the other thing too is that the other IOT used to be kind of a closed system self, um, form dot devices. Now you've got with Clough, you've got a lot more range and compatibility. Can you talk about that address, address that issue? Because there might be still legacy out there and no problem. It's data's data, but those are the days come in the cloud. But there's now a new shift happening where it's not just, you know, fully monolithic OT devices if it, so the pasta >>monolithic what's called machine to machine, close systems, IOT is the opposite there. It's where you say now all the devices and connections can be done in between the devices and the cloud. So it's system of systems. And in order to make that happen. For example, when you call it the legacy systems, we also announced on Monday and our IOT day additional features for IOT core that you can migrate legacy systems much easier to the cloud without that you need to update your devices. >>Yeah. Dirk, one of the things I find most interesting about your space as you span between the consumer and the enterprise piece, so I remember a few years ago there was like a hackathon on building skills for Alexa and it got lots of people involved. There was a giveaway of lots of the devices there. You know, we used to talk about the consumerization of it. How is what's happening in the tumor world? You know, how is the enterprise going to take care of take that and transform business as we see IOT permeating everywhere. >>So the capabilities that you need, whether you're going in industrial or in consumer or in the medical or pick your favorite other vertical is in essence the same. You need to connect the devices. You need to ensure that they're secure. We talked about security. You need to make sense of the data, whether you do this in the home with your television or your light switch or your robot, or you do the exact same thing with the most sophisticated robot in the industry. It's the same thing. The good thing about us handling all of those sites is that the scale that we gain with literally hundreds of millions of devices now managed by our service in the backend of course means we will handle all of that scale also in the industry and the security and postures and complexity that we need to handle an industrial also benefits computer, so our consumer side, so you benefit from both sides, very cheap and scale on the one industrial benefit. Very complex. How do you solve that consumable benefit, so it's very fruitful synergies if you like, >>Oh, you guys love to solve problems at Amazon that's going to eat those. Yeah. Derek, thank you so much for coming on and sharing the insights and what you're working on and what's important. Congratulations on all your success. Thank you so much. The threaded leader here. Final question for you. Eighth year of reinvent. It gets bigger every year. Louder. Crazier for parties, more business development more. Exactly. I mean just, it's crazy. Yeah. It's just say work hard, play hard. What is your favorite thing going on here? What's the coolest thing that you've seen? >>I think the coolest thing, and it might sound a little cheeky, is, is the excitement from all of our customers and partners coming here every year. >>PR tells you to say, I'm not about fraud. I mean, you're talking about products. I love my products. I'm still so happy about that. I mean, I can talk to a light switch now. Well, you see the comma car and the other quad had the area that we have yet. It's a very different experience that you can do. Don't talk to your lights, which when you get home your wife will think you're going crazy. I love that. Thank you for coming on. Really appreciate it. Thanks for having cube coverage here. All I'm, we're going to wrap up here. Keep coverage with Derek runs all the IOT for with an AWS exciting new area. It's going to change the game on architecture and solutions are being baked out in real time. We're here breaking out the cube in real time. I'm John. Thanks for watching.
SUMMARY :
Reinvent 20 nineteens brought to you by Amazon web services Everyone is the cubes live covers in Las Vegas for AWS. also all of our and Melanie and I and then there's an IOT section and there you find all of the goodness that we What is the most important story people should pay attention to in your area that that's notable for this that caught my eye the most was the IOT green grass sport for Lambda and Docker. that area which is called IOT Greenglass, which is a software runtime that you can install on edge Now you can deploy Docker containers, Lambda functions, and a melody edge all What is the state of the art security posture in your area around software and the edge? If you require that you can encrypt your data, it doesn't even lo you to connect to the cloud without and said, Hey, by the way, have you been in this country? I mean you feel comfortable that it's, I mean we believe whatever we build, you can never be 100% So you know part of me was party, which you can directly talk to media, there's microphones and speakers that is called AVS And we had a great customer on stage as well because if you can make so cheap Alexa So that means my teams on everything from the conception of What are some of the key things that people watching this should pay attention to aspect of this because in the past you had to ideally most likely in your old company join you know, fully monolithic OT devices if it, so the pasta you can migrate legacy systems much easier to the cloud without that you need to update your devices. You know, how is the enterprise going to take care of take that and transform business as So the capabilities that you need, whether you're going in industrial or in consumer or in the medical Oh, you guys love to solve problems at Amazon that's going to eat those. I think the coolest thing, and it might sound a little cheeky, is, is the excitement from and the other quad had the area that we have yet.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dirk Didascalou | PERSON | 0.99+ |
Martin | PERSON | 0.99+ |
Dave Alante | PERSON | 0.99+ |
John Farrow | PERSON | 0.99+ |
VW | ORGANIZATION | 0.99+ |
John Walls | PERSON | 0.99+ |
Derek | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Jeff | PERSON | 0.99+ |
Melanie | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
eight years | QUANTITY | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
Monday | DATE | 0.99+ |
Rick | PERSON | 0.99+ |
$1 trillion | QUANTITY | 0.99+ |
100% | QUANTITY | 0.99+ |
John | PERSON | 0.99+ |
seventh year | QUANTITY | 0.99+ |
LA | LOCATION | 0.99+ |
both sides | QUANTITY | 0.99+ |
700 devices | QUANTITY | 0.99+ |
Dirk | PERSON | 0.99+ |
Eighth year | QUANTITY | 0.99+ |
echo | COMMERCIAL_ITEM | 0.99+ |
Greengrass | ORGANIZATION | 0.99+ |
today | DATE | 0.98+ |
Stu | PERSON | 0.98+ |
Alexa | TITLE | 0.98+ |
one | QUANTITY | 0.98+ |
Intel | ORGANIZATION | 0.98+ |
Thanksgiving | EVENT | 0.97+ |
zero | QUANTITY | 0.97+ |
Verona | LOCATION | 0.97+ |
one goal | QUANTITY | 0.96+ |
Trillions of dollars | QUANTITY | 0.96+ |
IOT | TITLE | 0.96+ |
One | QUANTITY | 0.96+ |
Greek | OTHER | 0.95+ |
German | OTHER | 0.95+ |
Heights | ORGANIZATION | 0.95+ |
Lambda | TITLE | 0.94+ |
three type | QUANTITY | 0.93+ |
amazon.com | ORGANIZATION | 0.93+ |
hundreds of millions of devices | QUANTITY | 0.92+ |
AVS | ORGANIZATION | 0.92+ |
step two sets | QUANTITY | 0.9+ |
single thread | QUANTITY | 0.89+ |
Lambda | ORGANIZATION | 0.89+ |
Docker | ORGANIZATION | 0.89+ |
IOT Greenglass | TITLE | 0.89+ |
half | QUANTITY | 0.86+ |
fourth revolution | QUANTITY | 0.86+ |
IUT | ORGANIZATION | 0.86+ |
Verner | PERSON | 0.86+ |
IOT | ORGANIZATION | 0.82+ |
few years ago | DATE | 0.81+ |
Jane Hite-Syed, Carol Jones, & Suzanne McGovern | Splunk .conf19
>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to you by spunk. >>Okay, welcome back. Everyone secures live coverage in Las Vegas response dot com. I'm John Ferrier, host of the Cube. We're here for three days is a spunk. Spunk dot com 10 anniversary of their end user conference way Got some great guests here. They talk about diversity, inclusion breaking the barrier. Women in tech We got some great guests. Jane Heights, I add Si io National government service is Thanks for joining us. Appreciate it. Carol Jones, CEO Sandy and National Labs from Albuquerque Think coming on to CEOs of excited Suzanne McGovern. Diversity and inclusion talent leader for Splunk Thanks for guys joining us. Really appreciate it. I want to get into a panel you guys discuss because this is the area of really important to the workforce. Global workforce is made up of men and women, but most of the software text built by mostly men. But we get that second. I want to get in, find out what you guys are doing in your rolls because you guys, the journey is breaking through the barrier. Start with you. What's your role. What do you do? Their CEO. >>So I am CEO for National Government Service Is we do Medicare claims processing for the federal government. We also have a number of I t contracts with CMS. And, um, I organ. I have an organization of 331 people. Very different organization, Data center, infrastructure security gambit of I t, if you will. A great group of people divers were in Baltimore. Where? In Indianapolis. We're out of the kingdom office. How >>long have you been in 19 >>My career. So yes. Yeah. The waves. Yes. I have seen the waves have Daryl >>Jones and I'm c i o same National Laboratories. It's a federally funded research and development center. So we do research and development from on behalf of the U. S. Government. I have about 500 employees and 400 contractors. So we provide the I T for Sadia, all gametes of it, including some classified environments. >>A lot of security, your role. What's wrong? >>I'm the chief diversity officer. It's Plus I get the pleasure to do that every day. A swell, a cz. It's everyone's job. Not just magically explode. But I'm very honored to do that. How to look after talent. >>I want to compliment you guys on your new branding. Thank not only is a cool and really picking orange, but also that position is very broad and everything is trade message. But the big posters have diversity. Not a bunch of men on the posters. So congratulations, it's anger. Representative is really important. Worth mentioning. Okay, let's start with the journey. The topic you guys just talked about on a panel here in Las Vegas is female leaders smashing the glass ceiling. So when you smash his last ceiling, did you get caught? Was her bleeding? What happened? Take us for your journey. What was big? Take away. What's the learnings? Share your stories. >>Well, a lot of it, as I shared today with Panel, is really learning and be having that Lerner mindset and learning from something that you do, which is part of your life. And I use the example of I'm married to an Indian Muslim, went to India, spent some time with his family, and they told me Let's be ready at 6 30 and I said, Okay, I'm ready. I'm ready. Dressed in 6 30 nobody else was ready. And everyone in the room said, Well, we're gonna have Chai first we're gonna have some tea And I was like, Well, you said 6 30 and I'm ready And, um, everyone said, Well, you know, we need to relax. We need to connect. We need to have some time So I took that back and said, You know what? We all need to make time for tea Way. All need to connect with our people and the individuals that work with us, And I've kind of taken that on through the last 20 years of being married, Tim. But connecting with individuals and your teams and your partner's is what's important and as what Lead Meeks. I've built those allies and that great group of people that >>being people centric, relationship driven, not so much chasing promotions or those kinds. >>That's what's worked for me. Yes, >>Carol, it's been your journey. Stories >>start a little bit of beginnings. I've been in Tech over 30 years. I got a bachelor's and marketing, and then I was looking to get my master's. So I got, um, I s degree, but I didn't know even to go into that field. So my professor said you needed to go into my s, so don't know that's too hard. You can't do that. You know, you could do it. So it's always been challenging myself and continuing learning. I worked at IBM then I was there in the time when they did great layoffs. So no, e he was 93 right to left. Only wonder he's gonna be left by the end of the year. >>You know, for the younger audience out there M I s stands from management information systems. Before that, there was data processing division which actually relevant today. Quite a journey. What a great spirit. What's the one thing that you could share? Folks, this is a lot of young women coming into the workforce, and a lot of people are looking at inspirational figures like yourselves that have been there and done that. There's a lot of mentoring going on is a lot of navigation for young women and understand minorities. And they just you guys, there's no real playbook. You guys have experiences. What's your advice, folks out watching >>my number one advice. And I gave this to people who are wanting to go into leadership. Trust yourself. Trust to you. Are you all got to this place because of the successful person you are and just continue to trust yourself to take advantage of those opportunities. Take a risk. I took a risk when my total focus was in Medicare. I was asked to do another job and I took another, you know, position. And it wasn't in Medicare. So you have to take those opportunities and risk and just trust that you're gonna get yourself. >>Carol. You're >>similar. It's to continue to grow and to be resilient, there'll be times in your career like a layoff where you don't know what you're gonna do. You bounce back and make it into uneven. Better job on. Take risks. I took a risk. I went into cybersecurity. Spent 10 years there, continuing learning and the Brazilian >>learnings key, right? I mean, one of the things about security mentioned 10 years. So much has changed, hasn't it? >>Well, it's bad. Guys still outnumber the good guys. That has changed faster. Exactly. Technologies change. >>Just talk about the diversity inclusion efforts. You guys have a Splunk Splunk cultures very open transparent on the technology solutions very enabling you actually enabling a lot of change on the solution side. Now we're seeing tech for good kind of stories because Texas Tech Tech for business. But also you're seeing speed and times value time to mission value, a new term way kicked around this morning. It's time to mission value. >>Yes. So I'm glad you mentioned data, right? We're data company, and we're very proud that we actually whole star diversity inclusion numbers, right? So way moved the needle 1.8% on gender last year, year on year pride, but not satisfied. We understand that there's much more to diversity inclusion than just gender, But our strategy is threefold for diversity. Inclusion. So it's work force, workplace marketplace farces around just where talk is improving our representation so that these women are no longer the only. These are in the minority that were much more represented, and we're lucky we have three women and our board. We have four women in our C suite, so we're making good good progress. But there's a lot more to do, and as I say, it's not just about gender. We want to do way, nor the innovation is fueled by diversity. So we want to try. You know, folks of different races, different ethnicity, military veterans, people with disability. We need everyone. It's belongs to be, since >>you guys are all three leaders in the industry, Thanks for coming on. Appreciate that. I want to ask you guys because culture seems to be a common thread. I mean, I do so money talks and interviews with leaders for all types, from digital transformation to Dev ops, the security and they always talk speeds in fees. But all the change comes from culture people on what I'm seeing is a pattern of success. Diversity inclusion works well if it's in the culture of the company, so one filter for anyone a woman or anyone is this is a company culturally aligned with it. So that's the question is what do you do when you have a culture that's aligned with it? And what do you do? There's a culture that's not allow, so you want to get out. But how do you unwind and how do you navigate and how do you see the size of signals? Because the date is there >>a way to certainly really harness and failed a culture of inclusion. And that's through employee resource groups in particular. So it's plunks. More than 50% of our spelunkers are actually members. Followers are allies on employee resource. So gives community. It gives that sense of inclusion so that everyone could bring their whole Selves to work. So, to your point, it really does build a different culture, different level of connection. And it's super different. >>Any thoughts on culture and signals look for good, bad, ugly, I mean, because you see a good ways taken right. Why not >>take a chance, right? Right. No, I think, you know, like you look at it and you decide, like some young women we were talking to, You know, Is this the right company for you? And if not, can you find an ally? You know, it's a feeling that the culture isn't there and helped educate him on help to get him to be Jack of what does he and his leaders, I think we have to always ask ourselves, Are we being inclusive for everyone >>and mine? I would spend it a little bit. Is that diversity and thoughts And how? When I joined this organization. Culture is a big factor that needs to change and some of the things that I'm working on, but to bring people to the table and hear those different thoughts and listen to them because they all do think differently. No matter color, race, gender, that sort of thing. So diversity and thought is really something that I try to focus in on >>carry. Palin was just on the Cuban CMO of Splunk and top of the logo's on the branding and, she said, was a great team effort. Love that because she's just really cool about that. And she said we had a lot of diversity and thought, which is a code word for debate. So when you have diversity, I want to get your thoughts on this because this is interesting. We live in a time where speed is a competitive advantage speed, creativity, productivity, relevance, scale. These air kind of the key kind of modern efforts. Diversity could slow things down, too, so but the benefit of diversity is more thought, more access to data. So the question is, what do you guys think about how companies or individuals could not lose the speed keep the game going on the speed and scale and get the benefits of the diversity because you don't want things to grind down. Toe halts way Slugs in the speed game get data more diverse. Data comes in. That's a technical issue. But with diversity, you >>want a challenge that, to be honest, because we're a data company in the details. Irrefutable. Right? So gender diverse Teams up inform homogeneous teams by about 15% if you take that to race and ethnicity was up to 33%. Companies like ourselves, of course, their numbers see an uptick in share price. It's a business imperative, right? We get that. It's the right thing to do. But this notion that it slows things down, you find a way right. You're really high performance. You find a way best time. So it doesn't always come fast, right? Sometimes it's about patients and leadership. So I'm on the side of data and the data is there. If you tickle, di bear seems just perform better, >>so if it is slowing down, your position would be that it's not working >>well. Yes, I know. I think you got to find a way to work together, you know? And that's a beautiful thing about places like spun were hyper cool, right? It's crazy. Tons of work to do different things were just talking about this in the break way have this unwritten rule that we don't hire. I'll see jerks for >>gender neutral data, saris, origin, gender neutral data. >>Yeah, absolutely no hiring folks are really gonna, you know, have a different cultural impact there. No cultural adds the organization way. Need everyone on bats. Beautiful thing. And that's what makes it special. >>I think you know, is you start to work and be more inclusive. You start to build trust. So it goes back to what Jane was talking about relationships. And so you gotta have that foundation and you can move fast and still be reversed. I >>think that's a very key point. Trust is critical because people are taking chances whether they're male or female. If the team works there like you see a Splunk, it shouldn't be an issue becomes an issue when it's issue. All right, so big Walk away and learnings over the years in your journey. What was some moments of greatness? Moments of struggle where you brought your whole self to bear around resolving in persevering what were some challenges in growth moments that really made a difference in your life breaking through that ceiling. >>Wow. Well, um, I'm a breast cancer survivor, and I, uh, used my job and my strength to pull me through that. And I was working during the time, and I had a great leader who took it upon herself to make sure that I could work if I wanted. Thio are not. And it really opened that up for me to be able to say, I can still bring my whole self, whatever that is today that I'm doing. And I look back at that time and that was a strength from inside that gave me that trust myself. You're going to get through it. And that was a challenging personal time, But yet had so many learnings in it, from a career perspective to >>story thanks for sharing Caroline stories and struggles and successes that made him big impact of you. Your >>life. It was my first level one manager job. I got into cybersecurity and I didn't know what I was doing. I came back. My boss of Carol. I don't know what you did this year, and so I really had to learn to communicate. But prior to that, you know that I would never have been on TV. Never would have done public speaking like we did today. So I had to hire a coach and learn hadn't forward on communications. Thanks for sharing stories, I think a >>pivotal moment for me. I was in management, consultants say, for the first half of my career, Dad's first child and I was on the highway with a local Klein seven in the morning. Closet Night started on a Sunday midday, so I didn't see her a week the first night. I know many women who do it just wasn't my personal choice. So I decided to take a roll internal and not find Jason and was told that my career would be over, that I would be on a track, that I wouldn't get partner anymore. And it really wasn't the case. I find my passions in the people agenda did leadership development. I didn't teach our role. I got into diversity, including which I absolutely love. So I think some of those pivotal moments you talked about resilient earlier in the panel is just to dig, dying to know what's important to you personally and for the family and really follow your to north and you know, it works out in the end, >>you guys air inspiration. Thank you for sharing that, I guess on a personal question for me, as a male, there's a lot of men who want to do good. They want to be inclusive as well. Some don't know what to do. Don't even are free to ask for directions, right? So what would you advise men? How could they help in today's culture to move the needle forward, to support beach there from trust and all these critical things that make a difference what you say to that? >>So the research says that women don't suffer from a lack of mentorship. The sucker suffer from a lack of advocacy. So I would say if you want to do something super easy and impactful, go advocate for women, go advocate for women. You know who is amazing I there and go help her forward >>in Korea. And you can do that. Whatever gender you are, you can advocate for others. Yeah, also echo the advocacy. I would agree. >>Trust relationships, yes, across the board >>way, said Thio. Some of the women and our allies today WAAS bring your whole self. And I would just encourage men to do that, to bring your whole self to work, because that's what speeds up the data exchange. That's what it speeds up. Results >>take a chance, >>Take a chance, bring your whole self >>get trust going right. He opened a communicated and look at the date on the photo booth. Datable driver. Thank you guys so much for sharing your stories in The Cube, you think. Uses the stories on the Cube segments. Cube coverage here in Las Vegas for the 10th stop. Compass Accused seventh year John Ferrier with Q. Thanks for watching.
SUMMARY :
19. Brought to you by spunk. I want to get in, find out what you guys are doing in your rolls if you will. I have seen the waves have Daryl So we do research and development from on behalf of the U. A lot of security, your role. It's Plus I get the pleasure to do that I want to compliment you guys on your new branding. and be having that Lerner mindset and learning from something that you do, being people centric, relationship driven, not so much chasing promotions That's what's worked for me. Carol, it's been your journey. So my professor said you needed to go into my s, so don't know that's too hard. What's the one thing that you could share? of the successful person you are and just continue to trust yourself to take advantage of You're and the Brazilian I mean, one of the things about security mentioned 10 years. Guys still outnumber the good guys. very enabling you actually enabling a lot of change on the solution side. These are in the minority that were much more represented, So that's the question is what do you do So, to your point, it really does build a different culture, because you see a good ways taken right. And if not, can you find an ally? Culture is a big factor that needs to change and some of the things that I'm working on, So the question is, what do you guys think about how So I'm on the side of data and the data is there. I think you got to find a way to work together, really gonna, you know, have a different cultural impact there. I think you know, is you start to work and be more inclusive. If the team works there like you see a Splunk, it shouldn't be an issue And I look back at that time and that that made him big impact of you. I don't know what you did this year, and so I really you talked about resilient earlier in the panel is just to dig, dying to know what's important to you So what would you advise men? So I would say if you want to do something super easy And you can do that. to bring your whole self to work, because that's what speeds up the data exchange. Thank you guys so much for sharing your
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Indianapolis | LOCATION | 0.99+ |
Korea | LOCATION | 0.99+ |
Carol Jones | PERSON | 0.99+ |
Suzanne McGovern | PERSON | 0.99+ |
John Ferrier | PERSON | 0.99+ |
Thio | PERSON | 0.99+ |
Baltimore | LOCATION | 0.99+ |
Carol | PERSON | 0.99+ |
Jane | PERSON | 0.99+ |
Jason | PERSON | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
U. S. Government | ORGANIZATION | 0.99+ |
Jane Hite-Syed | PERSON | 0.99+ |
Caroline | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Palin | PERSON | 0.99+ |
10 years | QUANTITY | 0.99+ |
Tim | PERSON | 0.99+ |
Jane Heights | PERSON | 0.99+ |
first child | QUANTITY | 0.99+ |
India | LOCATION | 0.99+ |
400 contractors | QUANTITY | 0.99+ |
National Government Service | ORGANIZATION | 0.99+ |
93 | QUANTITY | 0.99+ |
first half | QUANTITY | 0.99+ |
Jones | PERSON | 0.99+ |
More than 50% | QUANTITY | 0.99+ |
10th stop | QUANTITY | 0.99+ |
331 people | QUANTITY | 0.99+ |
Spunk dot com | ORGANIZATION | 0.99+ |
1.8% | QUANTITY | 0.99+ |
Texas Tech Tech | ORGANIZATION | 0.99+ |
6 30 | DATE | 0.99+ |
three women | QUANTITY | 0.99+ |
about 500 employees | QUANTITY | 0.99+ |
today | DATE | 0.98+ |
last year | DATE | 0.98+ |
three days | QUANTITY | 0.98+ |
Daryl | PERSON | 0.98+ |
seventh year | QUANTITY | 0.98+ |
this year | DATE | 0.98+ |
Indian | OTHER | 0.98+ |
four women | QUANTITY | 0.97+ |
over 30 years | QUANTITY | 0.97+ |
about 15% | QUANTITY | 0.96+ |
first level | QUANTITY | 0.96+ |
second | QUANTITY | 0.96+ |
Cube | COMMERCIAL_ITEM | 0.95+ |
a week | QUANTITY | 0.95+ |
Sandy and | ORGANIZATION | 0.95+ |
three leaders | QUANTITY | 0.94+ |
Splunk | ORGANIZATION | 0.93+ |
up to 33% | QUANTITY | 0.93+ |
National Laboratories | ORGANIZATION | 0.93+ |
Compass | ORGANIZATION | 0.93+ |
first night | QUANTITY | 0.92+ |
Jack | PERSON | 0.92+ |
one | QUANTITY | 0.92+ |
Sadia | ORGANIZATION | 0.91+ |
Albuquerque | LOCATION | 0.91+ |
Splunk .conf19 | OTHER | 0.9+ |
Splunk dot com | ORGANIZATION | 0.9+ |
Lead Meeks | ORGANIZATION | 0.87+ |
Cuban | OTHER | 0.86+ |
one thing | QUANTITY | 0.85+ |
10 anniversary | QUANTITY | 0.85+ |
Sunday midday | DATE | 0.84+ |
National Labs | ORGANIZATION | 0.82+ |
Brazilian | OTHER | 0.82+ |
waves | EVENT | 0.8+ |
Tons of work | QUANTITY | 0.79+ |
Cube | ORGANIZATION | 0.79+ |
first | QUANTITY | 0.76+ |
19 | DATE | 0.69+ |
Klein | ORGANIZATION | 0.67+ |
this morning | DATE | 0.66+ |
seven | QUANTITY | 0.63+ |
Keynote Analysis, Day Two | Commvault GO 2019
>>Live from Denver, Colorado. It's the cube covering comm vault. Go 2019 brought to you by Combolt. >>Hey, good morning. Welcome to the cubes coverage of combo go 19 I'm Lisa Martin and it was stupid man. Hey Sue. Hey Lisa. Are you ready? I was going to ask you. Yes. Are you ready? >>I believe the statement this morning was, we're born ready. >>We are born ready? Yes. That was a big theme this morning. It's the theme of the event here at con Volvo 19 in Colorado and great parody this morning of all these old video clips of all these actors including the Lego movie stars from saying I'm ready. Even SpongeBob. That one got me, so we had a great day. Yesterday's to love some news came out Monday and Tuesdays a lots of great stuff to talk about. We had there a lot of their C level execs and let a new changes a call yesterday. Really got the vibe of, Hey, this is a new Combalt. >>It's interesting Lisa, because one of the things we've been talking about is the 20 years of pedigree that the company has. This Andre Mirchandani said yet they're doing some new items. I was talking to some of the partners in there like how come metallics like a separate brand, don't you worry about brand spread? We knew a thing about having too many brands on the program so it is the history, the experience, the lessons learned, the war chest as they said of all of the things that have gone wrong over the years and I sure know that from my time living on the vendor side is there's no compression algorithm for all the experience you've had and like, Oh we fixed something in that stays in the code as opposed to there's something brand new might need to work through things over time but metallic a separate brand but leveraging the partnerships and the go to market and the experience of Convolt overall. >>So if you want, my quick take is, you know metallic. I definitely, I think coming out of here is the thing we will be talking the most about their SAS plus model. I want to see how that plays in the marketplace. As I probed Rob, when we interviewed him, customers, when you think about SAS, it should just be, I worry about my data and I get up and running and they said they have a very fast up and running less than 15 minutes. That's great. But some of that optionality that they built in, Oh well I can bring this along or I can add this and do this. It's always worried that a wait, do I have to remember my thing? And as it changes down the road, do I have everything set up right? Those are things that we're trying to get away from when we go to a SAS or cloud model. >>And to your point, another theme of the show has been about operational simplification, not just what Combolt is doing internally to simplify their operations, but what they need to deliver to customers. Customers want simplicity rates. Do we, we talk about that at every show regardless of industry, but there is this, this line, and maybe it's blurring, >>like we talked a lot about blurred lines yesterday of too much choice versus simplification. Where's the line there? >> Yeah and a great point Lisa, so one of the items Sandra Mirchandani said yesterday in his keynote was that blurring the line between primary and secondary storage and I probed him on our interview is Convolt going into the primary storage market with Hedvig. Hedvig has got a, you know, a nice offering, strong IP, good engineering team. I think they want to make sure that customers that have bought head vigor want to keep buying Hedvig we'll do it, but it really, I think two years from now when you look back at is that core IP, how does that get baked into the solution? That's why they bought it. That's where it's going to be there. I don't think we're going to be looking two years from now and saying, Oh wow know Convolt they're going up against all the storage star Walton competing a bit gets HCI and everything. >>They have a strong partnership, so I think I got clarity on that for the most part, even though the messaging will will move over time on that, it will move over time on that. >> That's a good point that the song blurred lines kept popping into my head yesterday as we were talking about that. But one of the things that was clear was when we spoke with Rob Kalusi and about metallic, we spoke with Avinash Lakshman about Hedvig Sanjay as well as Don foster. They're already working on the technical integration of of this solutions and we even spoke with their VP of pricing. So from a customer, from a current Hedvig customer perspective, there is focus on that from Combolt's perspective. It's not just about integrating the technologies and obviously that has to be done really well, but it's also about giving customers that consistency and really for combo kind of a new era of transparency with respect to pricing. >>And another thing we talked about some of that transformation of the channel and Mercer row came on board only a couple of days officially on the job. He's helped a number of companies get ready for multicloud and absolutely we've seen that change in the channel over the last five to 10 years. Know back in his days when he was at VM world at VMware there the channel was, Oh my gosh, you know, when Amazon wins we all lose and today we understand it as much more nuance there. The channel that is successful partners with the hyperscale cloud environments, they have practices built around it. The office three 65 and Microsoft practices are an area that Convolt in their partners should be able to do well with and the metallic will tie into as well as of course AWS. The 800 pound gorilla in this space will be there. Combolt plays into that and you know, setting the channel up for that next generation with the SAS, with the software and living in a broader multicloud environment is definitely something to watch you a lot of news about the channel, not just from a leadership standpoint but also so metallic for the mid market >>really delivered exclusively through the channel but also the new initiative that they have. And we talked a little bit about this yesterday about going after and really a big focus with global systems integrators on the largest global enterprises. And when we spoke with their GTM chief of staff yesterday along with Mercer with Carmen, what they're doing, cause I said, you know, channel partners, all the channel partners that they work with work with their competitors. So you have to really deliver differentiation and it can't just be about pricing or marketing messaging goes all the way into getting those feet on the street. And that's another area in which we heard yesterday Combolt making strategic improvements on more feet on the street co-selling with partners, really pulling them deeper into enablement and trainings and to them that's one of the key differentiators that they are delivering to their partners. Yeah >>and Lisa, he, we got to speak to a number, a couple of customers we have more coming on today. It's a little bit telling that you know the average customer you talk to, they have five 10 years of experience there. They are excited about some of the new offerings, but as we've said many times metallic, the new Hedvig we want to talk to the new logos that they're going to get on board. That is something that for the partners has been an incentive. There were new incentives put in place to help capture those new logos because as we know, revenue was actually down in the last fiscal year a bit and Convolt feels that they have turned the corner, they're all ready to go. And one other note I'd like to make, the analogy I used last year is we knew a CEO was canoe CEO search was happening, a lot of things were in motion and it's almost as if you were getting the body ready for an organ transplant and you make sure that the antibodies aren't going to reject it. And in conversation with Sanjay, he was very cognizant of that. His background is dev offs and he was a CIO. We went for it, he was the CEO of puppet. So he's going to make things move even faster. And the pace of change of the last nine months is just the beginning of the change. And for the most part I'm not hearing grumbling underneath the customer seem fully on board. The employees are energized and definitely there was good energy last year, but a raise of the enthusiasm this year. >>Well Stu, first of all, you have just been on fire the last two days comparing their CEO transition to getting a body ready for a transplant. It's probably one of the best things I've heard in a long time. That was awesome. But you're right, we've heard a lot of positivity. Cultural change is incredibly difficult. You talked a minute ago about this as a 20 year old company and as we all have all experience and the industries in which we're in, you know, one of the things that's important is, is messaging that experience and talking about the things that that worked well, but also the things that didn't work well, that they've learned from that message was carried through the keynote this morning. That three customers on stage that we saw before we had to come to the side. And I, I had, my favorite was from Sonic healthcare. Matthew McCabe's coming on in shortly with us and I always appreciate, you know, I think the voice of the customer is the best brand validation that you can get. However, what's even better is a customer talking about when the technologies that they're using fail because it does happen. How are they positioned with the support and the training and the education that is giving them to make those repairs quickly to ensure business continuity and ensure disaster recovery. I think that to me that speaks volumes about the legacy, the 20 years of experience that combo has. >>Yeah, no, Lisa, you're absolutely right. There's certain products out there that we talk about uptime in 100% in this space. You, I believe the stat was about 94% success rate and we had NASA in the keynote yesterday talking about success versus partial success versus failures and Convolt really embraces that and has customers that we'll talk about that because there are times that things will happen and there are things that you need to be able to recover from ransomware. Often it is not a question of if, when it is going to be happened, at least. The other thing I want to get your comment on Jimmy chin who is the director and one of the, the cameraman of the free solo Oscar-winning free solo documentary definitely gave me a little bit of, Oh my gosh, look at some of the Heights and I was nervous just looking at some of this stuff they're doing. I like a little bit of lightweight hiking. I'm not a mountain climber, nothing like that. But he talked about when the camera goes on, there's that added pressure that goes on and it's sitting there. It's like, yeah, you know, we sit here live all day doing that. There's that, that energy to perform. But you know, we all appreciate the everybody watching and understanding that we're all human here and every time, every once in awhile a word or a mistake gets in there, but we keep going summit. Yeah, >>that's life. But also Jimmy chin, phenomenal. I think at 2018 they just won the Oscar just earlier this year for free. Solo. I have to watch that this weekend. But a couple of things that he talked about is that failure is a huge part of preparation. Couldn't agree more. What a simplified statement for somebody that not only has has skied Everest, the climbed Meru, I think they call it the shark fin of India, but what you talked about with what he documented with free solo and all of the thousands of sequences and he talked about that, Alex, I'm forgetting his last name, the guy who closed, who free soloed, El Capitan, all of these different failure scenarios that he rehearsed over and over again in case he encountered any of them, he would immediately be to remedy that situation and get himself back on track. I thought that message to me, failure is a good F-word if you use it properly. You know NASA, you mentioned yesterday and NASA was famous for coining in the 60s failure is not an option and I always say onto that cause I used to work for NASA, but it's a distinct possibility. And so what Jimmy chin shared this morning was electrified, but it also was a great understatement of what Combolt is helping their customers. We have to help you prepare for this. We can't help you prepare for all of it. As you mentioned, ransomware, it's not if but when. >>Well, right and both NASA and when the climbing is understanding where something could go wrong and therefore what the failures scenarios are. So you know rockets today you can't have a failure and by failure they mean look, if the rocket isn't going to work or something goes wrong, we need to make sure we don't have loss of life. That is something that if you look at blue origin and SpaceX that is pre eminent in there is we can't have another challenger disaster. We can't have some of these environments where we have the loss of human life. So that is number one. Some of the other ones, sometimes we know that the unknown happens or things don't go quite right. So being prepared to understand if something goes wrong, how do we recover from that? And that brings us back to the whole data protection and recovery of the environment because the best laid architecture, eventually something will happen and therefore we need to make sure that that data, the lifeblood of the company is able to be recovered and used and that the business can go forward even if some piece of infrastructure or some attack got through. >>There are, and there's inherent risk in every industry, whether you're talking about healthcare data, we talked with AstraZeneca yesterday, you know, genetics, clinical data, or you're talking about a retailer, doesn't matter. There's an inherent risks with every business and one of the most important things that I got out of the NASA talk yesterday, Jimmy Chin's talked today, some of the customers, is that preparation is key. You can't be over prepared. You really can't act fact. He said that you can't be overprepared in his line of work, but I think it applies to the inherent risks that any business has. Managing data. As we talk about Sue all the time, it's the lifeblood. It's the new oil. It is. It has to be available, accessible 24 by seven if it isn't and can't be. Businesses are massive risk in this day and age. Competitive competitors who have maybe better risk fault tolerance scenario in play. >>So that risk that they have to mitigate comes a preparation. We're going to be talking with Sandra Hamilton in just a few minutes about who leads customer success for combo. Really want to dig into the training, the support. We've heard that articulated from customers on stage that I don't wake up in the middle of the night anymore because I have this support from my trusted vendor combo and that is critical to any business staying up. Absolutely. We're going to hear from number of customers. I'm sure they're ready and we are ready for day two. We are ready. See, let's have a great day. Yeah, thanks. All right, so Sue and I will be right back with our first guest on day two of our coverage of comm Volkow for Stu. I'm Lisa Martin. We'll be right back.
SUMMARY :
Go 2019 brought to you by Combolt. Are you ready? It's the theme of the event here at con Volvo 19 in Colorado all of the things that have gone wrong over the years and I sure know that from my time living on the vendor side is And as it changes down the road, do I have everything set up right? And to your point, another theme of the show has been about operational simplification, Where's the line there? him on our interview is Convolt going into the primary storage market with They have a strong partnership, so I think I got clarity on that for the most part, But one of the things that was clear was when we spoke with Rob Kalusi and about the last five to 10 years. that's one of the key differentiators that they are delivering to their partners. That is something that for the partners has been an incentive. have all experience and the industries in which we're in, you know, one of the things that's important is, look at some of the Heights and I was nervous just looking at some of this stuff they're doing. We have to help you prepare for this. Some of the other ones, sometimes we know that the we talked with AstraZeneca yesterday, you know, genetics, clinical data, So that risk that they have to mitigate comes a preparation.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Sandra Mirchandani | PERSON | 0.99+ |
Lisa | PERSON | 0.99+ |
Sandra Hamilton | PERSON | 0.99+ |
Avinash Lakshman | PERSON | 0.99+ |
Andre Mirchandani | PERSON | 0.99+ |
Sue | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Rob Kalusi | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Monday | DATE | 0.99+ |
NASA | ORGANIZATION | 0.99+ |
Convolt | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
20 years | QUANTITY | 0.99+ |
AstraZeneca | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Alex | PERSON | 0.99+ |
SpaceX | ORGANIZATION | 0.99+ |
Hedvig Sanjay | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
SAS | ORGANIZATION | 0.99+ |
last year | DATE | 0.99+ |
Tuesdays | DATE | 0.99+ |
less than 15 minutes | QUANTITY | 0.99+ |
Sanjay | PERSON | 0.99+ |
2018 | DATE | 0.99+ |
today | DATE | 0.99+ |
India | LOCATION | 0.99+ |
Jimmy Chin | PERSON | 0.99+ |
800 pound | QUANTITY | 0.99+ |
100% | QUANTITY | 0.99+ |
Combolt | ORGANIZATION | 0.99+ |
Matthew McCabe | PERSON | 0.99+ |
Jimmy chin | PERSON | 0.99+ |
one | QUANTITY | 0.99+ |
five 10 years | QUANTITY | 0.99+ |
Denver, Colorado | LOCATION | 0.99+ |
Don foster | PERSON | 0.99+ |
Sonic healthcare | ORGANIZATION | 0.99+ |
Rob | PERSON | 0.99+ |
24 | QUANTITY | 0.98+ |
Mercer | ORGANIZATION | 0.98+ |
this year | DATE | 0.98+ |
last fiscal year | DATE | 0.98+ |
2019 | DATE | 0.98+ |
Hedvig | ORGANIZATION | 0.98+ |
Yesterday | DATE | 0.98+ |
both | QUANTITY | 0.98+ |
20 year old | QUANTITY | 0.98+ |
Stu | PERSON | 0.97+ |
three customers | QUANTITY | 0.97+ |
seven | QUANTITY | 0.97+ |
first guest | QUANTITY | 0.97+ |
GTM | ORGANIZATION | 0.97+ |
this morning | DATE | 0.96+ |
Colorado | LOCATION | 0.96+ |
a minute ago | DATE | 0.96+ |
Wrap | IBM Innovation Day 2018
from Yorktown Heights New York it's the queue coverings IBM cloud innovation be brought to you by IBM hi I'm Peter Burris and we have wrapped our the cubes coverage of IBM innovation day here at the Thomas J Watson Research Center in Yorktown Heights now for anybody that's been in the industry for a while you know that this is one of the mecca's of the computing industry this is where an enormous number of innovations have taken place innovations about relating to semiconductor processes and you know CPU architectures innovations relating to middleware and innovations relating to database management and very importantly innovations relating to how customers and companies engage to be more successful with technology and in many respects that's really what's happening with the overall drive to cloud is to bring closer together that invention that takes place and pushes forward what technology can do and then a delivery model that's focused on ensuring the customers can actually more easily do it and IBM is absolutely part of that conversation we'll be going forward especially as we think about how those high-value legacy applications are going to be employed within a cloud context to further drive transaction capabilities with event capabilities in the cloud we've had some great conversations we've heard for example from Hilary hunter who's a CTO here at cloud infrastructure about the new role that opend plays within innovation how IBM is trying to further leverage that with the Red Hat acquisition we've had great conversations with Jason McGee talking about how the developer mindsets evolving in response to some new innovations with cloud we've heard from a number of other individuals I won't list them all but if I were trying to summarize the three points that I think kept coming through it's number one the cloud does force changes to the way you think about business problems and methods tooling and approaches for doing that are starting to mature very rapidly Micro services for an example for example is not just a technology it's also an approach to thinking about a problem and that informs everything I did the second thing that we've heard is that can't just talk about greenfield applications we've had this enormous investment in applications have been running businesses for a long time of those applications tend to be very stateful they tend to be very database driven they tend to be very operational in nature those applications have to move forward if nothing more from at least from a management standpoint how can we bring a management mindset an operating model of the cloud to start to channel or structure change and evolve how we manage those applications but ultimately bring new classes of services to those applications I think the last one that we've heard over and over and over it that this really is gonna require a strong community we have to take a community approach to invention you have to take a community approach to innovation and the social change is required to take advantage of technology and achieve the business outcomes that we want and if one thing has come through loud and clear through all the conversations is that that this year IBM think or I didn't think 2019 San Francisco is gonna be a great place to be able to get together with peers and have those conversations and think about the outcomes that enterprises want to achieve and then talk to people that can actually help you get there and one of the things that I find interesting about think this year is that the industry's changing we're seeing new rules or evolution of roles and an evolution of how those roles work together and think is actually starting to reflect that it's manifesting itself itself there's a couple of campuses one that's focused more on data and AI a very very natural binding or combining and one that's focused more on infrastructure and cloud again very natural so I hope to see be able to carry on and continue these conversations we've had today at IBM think and hope to see you there as well so once again this is Peter Burris Ricky bond the cube from the IBM from the from the illustrious from the vaunted Thomas J Watson Research Center in Yorktown Heights thanks very much for watching the cube today [Music]
**Summary and Sentiment Analysis are not been shown because of improper transcript**
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jason McGee | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Hilary | PERSON | 0.99+ |
today | DATE | 0.99+ |
three points | QUANTITY | 0.99+ |
Yorktown Heights | LOCATION | 0.99+ |
second thing | QUANTITY | 0.99+ |
2019 | DATE | 0.99+ |
San Francisco | LOCATION | 0.97+ |
IBM Innovation Day 2018 | EVENT | 0.97+ |
Thomas J Watson Research Center | ORGANIZATION | 0.96+ |
one | QUANTITY | 0.96+ |
one thing | QUANTITY | 0.95+ |
Red Hat | ORGANIZATION | 0.94+ |
this year | DATE | 0.87+ |
Yorktown Heights New York | LOCATION | 0.85+ |
Peter Burris | PERSON | 0.85+ |
Thomas | LOCATION | 0.83+ |
IBM innovation | EVENT | 0.74+ |
ghts | PERSON | 0.63+ |
Yorktown Hei | LOCATION | 0.58+ |
J | ORGANIZATION | 0.56+ |
Watson Research Center | LOCATION | 0.54+ |
campuses | QUANTITY | 0.47+ |
couple | QUANTITY | 0.43+ |
Ricky | ORGANIZATION | 0.39+ |
Judith Hurwitz, Hurwitz & Associates | IBM Innovation Day 2018
>> From Yorktown Heights New York It's theCUBE, covering IBM Cloud Innovation Day. Brought to you by IBM. >> Hi, I'm Peter Burris and welcome theCUBE. We're broadcasting today from IBM innovation day at the Thomas J. Watson research labs in Yorktown New York. Having a number of great conversations about what's going on with the industry, what's going on with the cloud, and to bring that further, Judith Hurwitz, president of Hurwitz Associates, longtime analyst. Judith, welcome to theCUBE. >> Thank you, Peter. Great to be here. So, Judith, I'll just open it up. What do you think are the two or three most important things that people should be thinking about right now? >> Well, I think as we look at the maturation of cloud and computing and the changes that we see, I think one of the most important things is the movement towards open and standards, because what customers really want is computing. They don't really care if you tell them "Well, that service runs over there and this one runs over here." They don't care about that. What they care about all of the workloads, all of the applications they need to get their jobs done just work. So if a workload needs to move, it should be able to move because it's less expensive or more efficient or it handles a workload better in terms of performance or security. Customers want the freedom to be able to do what they want when they want it, and not to be locked in. So openness is really becoming the battlecry for the cloud. >> You're talking about two things there. Let me parse them out. You're talking about the breaking of the natural relationship between where the resources are and where the value of the work is provided. >> Yes. >> And there is a degree of openness to that, but then there's also this notion of openness which is how fast innovation, what model are we going to use? Let's break those apart. Let's start with the idea of the cloud breaking the traditional mold of this workload here, that workload there. How is cloud doing that and what's the future for that flexibility look like? >> I think if we were having this conversation ten years from now we wouldn't be talking about cloud. We would be talking about the elasticity and the way we do computing so it really meets the needs of whatever business change you're experiencing. What's held companies back and what's held IT back is the idea that you're stuck with the platform or the application or the technology that you've always been using, and it makes change really hard. So, the more flexibility you can have, and the cloud in terms of elasticity, the way you can create new workloads using cloud native and microservices and leveraging containers, all of these techniques will lead us into a world where you can create a bunch of services and choose and pick the ones you want to get your job done and it really adds a level of innovation and speed that we've never seen before with IT. >> So let's build on that. One of the things we tell our clients is to focus on what we call plasticity. It's a physics term. Elasticity is a single workload, scale it up and down. Plasticity is new workload changes, transforms, leads, perturbs the infrastructure, the infrastructure reforms around it. One of the reasons why that concept becomes so important is precisely because of the rate of increase in innovation, as you said. So now tie open back to that. What is it about open, that's not just about making sure we have system software standards, but is actually doing a better job of turning business into software at a higher level. >> In a sense, it's what I would call service as software. If you can take the business process or how you want to interact with your customers, and you can turn those into software services that are malleable, that you can change and innovate on without having to go from top to bottom and recode everything, which is what's held companies back for probably 40 or 50 years. As you modularize things, you can, for example, simple idea like the way you would calculate a 30 year mortgage. In most companies over the years there were 30 different ways you could do that and each application had its own way. What if you could have a single service that did that that you could apply it no matter what the use case and what the business case was, apply that same concept to any business logic or any business strategy, that's where you get what you're calling- something that's very plastic, very malleable, and allows you to change, because in the past we've always written applications or written systems as though they were based on how we do business right now. And when you do that, you can't change. >> So one of the ways, again, if I were to describe some of the big changes and let me test this on you, is that I say for the first 50 years of computing it was known process unknown technology. We knew we were going to do accounting, we knew we were going to exchange titles, became supply chain, et cetera, we knew we were going to do HR. But we didn't know if it was going to run on a mainframe or how to run on a mainframe, or client server or the internet or whatever else it was. We're entering into a world now where it's unknown process, relatively known computing, or technology. We know it's going to be a cloud or cloudlike thing. When we think about that unknown process, more data first applications, data driven applications, where do you foresee some of these magnificent changes that are on the horizon? >> So, I think one of the most important changes is that we start leading with data rather than process, because if you lead with process, that's the past. If you lead with data, data will lead you to process. So if we have data driven organizations where the data, using it in a predictive analytics way, really using machine learning, algorithms, and some of the emerging AI techniques, we can begin to have data drive us to process. >> So, Judith, I know you've gone to IBM Think every year for a number of years now. Probably almost as long as I have. If you step back and say San Francisco, 2019, February, 30,000 plus people, what are you looking to get out of Think this year that builds upon what you've gotten out of it in the past? >> Well, what I really like about Think and about IBM events is that it brings together so many people, both IBMs fantastic technical leadership with business leadership, and it brings together the programmers. It brings together the IT leaders with business leaders, so it's a really coming together of the minds across business organizations, really collaborating together to really get to the heart of key business problems. >> Excellent. Judith Hurwitz, president of Hurwitz and Associates, thanks for being on theCUBE. >> Thank you. >> And this is Peter Burris, we'll be back with more of theCUBE from IBM Innovation Day in a few minutes. (upbeat techno music)
SUMMARY :
Brought to you by IBM. at the Thomas J. Watson research labs What do you think are the two and computing and the changes that we see, of the natural relationship breaking the traditional mold and the way we do computing One of the things we tell our clients and you can turn those is that I say for the and some of the emerging AI techniques, what are you looking to of the minds across president of Hurwitz and Associates, we'll be back with more of theCUBE
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Judith | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Judith Hurwitz | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Peter | PERSON | 0.99+ |
two | QUANTITY | 0.99+ |
40 | QUANTITY | 0.99+ |
three | QUANTITY | 0.99+ |
2019 | DATE | 0.99+ |
30 year | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
50 years | QUANTITY | 0.99+ |
February | DATE | 0.99+ |
each application | QUANTITY | 0.99+ |
two things | QUANTITY | 0.99+ |
IBM Innovation Day | EVENT | 0.99+ |
Hurwitz Associates | ORGANIZATION | 0.98+ |
first 50 years | QUANTITY | 0.98+ |
One | QUANTITY | 0.98+ |
IBMs | ORGANIZATION | 0.98+ |
single service | QUANTITY | 0.98+ |
both | QUANTITY | 0.98+ |
today | DATE | 0.97+ |
Hurwitz and Associates | ORGANIZATION | 0.97+ |
Yorktown New York | LOCATION | 0.97+ |
30 different | QUANTITY | 0.96+ |
one | QUANTITY | 0.96+ |
Yorktown Heights New York | LOCATION | 0.96+ |
IBM Cloud Innovation Day | EVENT | 0.96+ |
IBM innovation day | EVENT | 0.95+ |
IBM Innovation Day 2018 | EVENT | 0.95+ |
30,000 plus people | QUANTITY | 0.95+ |
Think | EVENT | 0.94+ |
this year | DATE | 0.93+ |
Think | COMMERCIAL_ITEM | 0.9+ |
Hurwitz | ORGANIZATION | 0.89+ |
first | QUANTITY | 0.88+ |
theCUBE | ORGANIZATION | 0.83+ |
Associates | ORGANIZATION | 0.78+ |
single workload | QUANTITY | 0.77+ |
Thomas J. Watson | ORGANIZATION | 0.76+ |
every year | QUANTITY | 0.68+ |
ten years | DATE | 0.66+ |
things | QUANTITY | 0.62+ |
Jim Comfort, IBM | IBM Innovation Day 2018
>> From Yorktown Heights, New York, it's theCUBE, covering IBM Cloud Innovation Day. Brought to you by IBM. >> Hi, I'm Peter Burris from Wikibon, and you're watching theCUBE being broadcast from IBM Innovation Day at the Thomas J. Watson Research Lab in beautiful Yorktown, New York. And we've had a number of great conversations thus far, we've got some more on the horizon, stay with us. Now, we've got Jim Comfort. Jim Comfort is the General Manager of Hybrid Cloud Services at IBM. Jim, welcome to theCUBE. >> Thank you, Peter, glad to be here. >> So, Jim, what does Hybrid Cloud Services as a group do? >> Actually, we run infrastructure for clients. That's our business, but we help you advise, build and manage private cloud. Advise, build and manage consumption of public cloud, Azure, Google, IBM, and we help you manage and stitch all of that together. >> So a lot of people think of cloud and they think of this monolithic thing. "If I go to the cloud, suddenly my business has changed." But there's more to it than that. There's a number of different things that a business has to be successful at to succeed at getting to the cloud. What is your perspective on that? >> Well, I completely agree. And this is kind of my first conversation with clients is, you need a business strategy, but to execute that strategy you have to realize it will touch most everything in your business. It'll touch infrastructure, it'll touch applications, it'll touch your dev ops, or your development process morph to dev ops. It'll touch your operations very profoundly, this whole SRE thought, and it will test your data governance and management as well as your security and compliance. So that's the scope that you have to comprehend. >> But most people, they start with perhaps the infrastructure first and end up with the data last. Is that the right way to think about this? >> I agree, many do, and actually I have not seen many build-it-they-will-come strategies succeed. And so what I really look for is, do you understand the business drivers? Top-line revenue growth, new markets, new insights, new data, and from that can you derive a technology strategy? What I've seen happen in many cases is, if you start from the bottom up you'll be trapped in what I call the religious wars of technology that never end. >> And most people, a lot of folks start from the bottom up, because they start from the technology side of the business. >> Correct. >> Are you seeing more business people getting engaged, and conceptualizing what the strategy needs to be? >> I am, and it starts on both sides. The business people will say, "I need to move faster than you can move, so I'm going to do something different," and the IT people will say, "I can do that for you, here's what you need." The two signatures of the most successful transformations are does the line of business and the IT have the relationship to collaborate so they actually learn together? And then if they have that, have they actually created a team that understands the new as well as they understand the existing or the old, so they can actually understand what's real, what's not, where's the hype, what really happens. And then they get into the rational, real planning decision. >> So as you think about some of the assessment challenges, because you said you go through the assessment process, what are some of the key questions that a client should start with as they think about undertaking this journey? >> Well, number one is start with the business driver. I said that already, but you have to start with understanding what you're trying to accomplish so you can make choices. And the other is, start small enough and get to the end of something so that you know what the reality is, and that's where our, this is where we bring in our methods. When you hear us talk about the garage method, you hear us talk about MVPs and all the language everyone wants to use. We like to start with something, and start that iterative cycle of learning. That's the key. >> So with an iterative cycle of learning, in many respects this whole notion of agility is predicated on this idea of being agile or iterative. But it's also empirical, knowing what the data is, knowing what the data says, and being opportunistic. How does a customer balance that as they get going, say early on in the cloud journey? >> I think, again, most of what we're talking about in digital transformations is new insights that will help your business. That could be from data that you had, it could be new data. And if they think about it, what insights am I looking for? What new experience am I trying to create, and what do I need to do that? Then you start to get people to step back and think, well, what are all the possibilities? And now, how do we tackle that? So it starts from realizing, what insight am I looking for? >> So there's a lot of invention happening in the industry. >> Oh, yeah. >> And enormous new things being created. Customers are being overwhelmed at trying to adopt them. The innovation side, the social side of effecting a change in the business. You mentioned some of the markers for success and putting together the strategy. Go forward a little bit. What are some of the companies that have successfully gotten to that end stage maturity doing differently? >> We have a number of very good ones. I mean, a very clear one in my mind is American Airlines, where they were really trying to change the experience. They had three distinct things that had grown up over time, the mobile experience, the kiosk experience and the Web experience. Three completely different things. They brought it together, converged it, modernized it, and now completely changed the experience and the speed with which they can now act on what they see for their clients or for their customers, all of us. But also as they get new ideas, the speed and the velocity that they can bring those in is phenomenal. >> And that improves their ecosystem, their ability to work with a lot of others as well. >> Their ecosystem, how to work with others, how to bring in new ideas. And this is all, for them it's all about client satisfaction and service to their end client, to the end user. That's what it was. It had a lot of technology dimensions, but they were very clear the experience they were trying to attack. >> So next February, IBM Think, 30-plus thousand people descending upon San Francisco. You guys are taking it over. What kind of conversations are going to be on your agenda as you work with customers and partners to get this message out? >> Well, it's really two things. I often joke the blessing and curse of IBM is the breadth of our portfolio. It's a very large place, but we actually have a very simple, clear way to talk to, advise, move, build and manage. Those are the steps you need in your journey. Now, which journey for you, which type of thing. But that, we have clarity on that, and I think you'll see that displayed at Think and get to understand it. The other thing is that we have a lot of experiential and real practical, we've made this happen for many large clients at scale, and I think that what we want people to understand is we can help you that same way. It's really pretty simple. >> Jim Comfort, General Manager Hybrid Cloud Services at IBM. Thanks for being on theCUBE. >> Thank you, Peter. >> And we'll be back momentarily with more from theCUBE at IBM Innovation Day here at the Thomas J. Watson Research Center in New York.
SUMMARY :
Brought to you by IBM. the horizon, stay with us. and we help you manage and and they think of this monolithic thing. So that's the scope that Is that the right way to think about this? and from that can you derive technology side of the business. and the IT people will say, of something so that you say early on in the cloud journey? and what do I need to do that? happening in the industry. of effecting a change in the business. and the speed with which they can now And that improves their ecosystem, the experience they were trying to attack. are going to be on your agenda Those are the steps you Hybrid Cloud Services at IBM. at the Thomas J. Watson
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Peter | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Jim | PERSON | 0.99+ |
Jim Comfort | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
American Airlines | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
IBM Innovation Day | EVENT | 0.99+ |
Hybrid Cloud Services | ORGANIZATION | 0.99+ |
IBM Cloud Innovation Day | EVENT | 0.98+ |
Yorktown, New York | LOCATION | 0.98+ |
two things | QUANTITY | 0.98+ |
Yorktown Heights, New York | LOCATION | 0.98+ |
both sides | QUANTITY | 0.98+ |
first conversation | QUANTITY | 0.98+ |
New York | LOCATION | 0.98+ |
Thomas J. Watson Research Lab | ORGANIZATION | 0.97+ |
next February | DATE | 0.96+ |
IBM Innovation Day 2018 | EVENT | 0.96+ |
Hybrid Cloud Services | ORGANIZATION | 0.96+ |
two signatures | QUANTITY | 0.96+ |
Think | ORGANIZATION | 0.95+ |
three distinct things | QUANTITY | 0.95+ |
30-plus thousand people | QUANTITY | 0.9+ |
first | QUANTITY | 0.87+ |
Wikibon | ORGANIZATION | 0.86+ |
theCUBE | ORGANIZATION | 0.8+ |
Three completely different things | QUANTITY | 0.78+ |
one | QUANTITY | 0.67+ |
Azure | TITLE | 0.62+ |
Thomas J. Watson Research Center | LOCATION | 0.54+ |
theCUBE | TITLE | 0.44+ |
Think | COMMERCIAL_ITEM | 0.44+ |
Don Boulia, IBM | IBM Innovation Day 2018
>> From York Town Heights, New York, it's theCUBE covering IBM Cloud Analyst Summit, brought to you by IBM. (techy music) >> Hi, welcome back, I'm Peter Burris of theCUBE, and we're having conversations here at the IBM Innovation Day at the Thomas J. Watson Research Lab in York Town Heights, New York. We've got a great conversation. Don Bolia is the general manager of cloud developer services at IBM, welcome to theCUBE, Don. >> Thank you very much. >> Or should I say welcome back to theCUBE? >> (chuckling) Yes, thank you. >> So, Don, we were talking with one of your colleagues, Hillery Hunter, who's the CTO-- >> Mm-hm. >> Of here at the cloud infrastructure team, and about the fact that everybody's talking about the rate of growth of data, and nobody's really discussing the rate of growth of software, which is perhaps even more important, ultimately, to business. What is that rate of growth look like, and how is it related to the role of cloud? >> Yeah, so it's a great question. I mean, with my role as kind of owner of our platform services from the cloud perspective, one of the things we've noticed over the last probably five or 10 years is just a massive rate and pace change with respect to iteration on the software development cycle. So, they started with mobile, I would say, and then has moved to cloud since then, where you know, the expectation is everything is updating all the time, you know, everyday, all times of the day. Within our own Kubernetes and container service, as an example, we push over 500 updates a week to that software stack on behalf of our customers, and so I think there's a rate and pace of how things are changing from that perspective, but then there's also the fact that everybody's leveraging those services to then build the next generation of software. So, in our case we have a set of base services that I provide for things like containers that then the Watson team, for example, uses to build their microservices, which are then, you know, realized as machine learning and other types of services that they provide. So, you see the stacking of software, if you will, from you know, the high iteration rate at the bottom all the way to the next level and the next level, and the ability to unlock value now is something that happens in, you know, hours in some cases, or a couple of days, whereas before just provisioning the software would've taken months, and so we're really seeing just a whole change in the way people can develop things and how quickly they can get to the end result. >> Now, we're here at the Thomas J. Watson Research Lab, and downstairs is this wall of all IBM fellows, and one of them E.F. Codd, the famous originator of database and the role that SQL played, et cetera-- >> Mm-hm. >> In relational database technology. He wrote a seminal paper back in the early 1970s about how the notion of developer was going to evolve over time, and he might've been a little aggressive in thinking that we were going to end up with these citizens developers than we actually happened, but we are seeing the role of developer changing, and we are seeing new classes of professionals become more developer-like. >> Mm-hm. >> How is that relationship changing the way that we think of developer services that you serve? >> Yeah, it's a great question. I think, first of all, software is sort of invading almost every single industry, and so, you know, people have got to have some amount of those skills to be able to function in kind of the optimal way for whatever industry they're in. So, what we're seeing is that as we've built more and more foundational services, the act of actually creating something new is more about stitching together, composing, orchestrating a set of things, as opposed to really building from scratch everything from the ground up, and you know, things like our Watson services are a great example, right? The ability to tap into something like that with a couple lines of code in an hour, as opposed to what would've taken, you know, months, years, whatever, and even really, frankly, been out of the reach of most developers to begin with is now something you can have somebody come in and do, you know, with a fairly low level of skill and get a good result on the outside. >> So, we've got more demand for code as we move to digital business, more people participating in that process, cloud also enables paths, a lot of new classes of tools that are going to increase the productivity-- >> Yep. >> Including automated code generation. How is the process, how is that tool set evolving, especially as it pertains to the cloud? >> Yeah, so I think one of the mantras of cloud is automation, and in order to standardize and automate, that's really how you get to the kind of scale that we would see in, say, a public cloud like the IBM cloud. So, it really is kind of a fundamental premise of anything you do has to be something that you automate, and so we've seen a whole class of tools, to your points, really start to emerge, which allow people to get that kind of, you know, automated capability. So, nobody thinks of, for example, creating a, you know, a build pipeline these days without using a set of tools. You know, often they're opensource tools, and there's a lot of choice within that whole spectrum of tools, and we support a bunch of different varieties, but you would never think today of having a build process that isn't totally automated, right, that can't be instantly recreated. Even the whole process of how you deploy code in a cloud these days is sort of an assumption that you can destroy that and restart at any point, and in order to do that, you really need the automation behind that, so I think it's a base premise now. I don't think you can really be at the velocity that people are expecting out of software without having a totally automated process to go through that. >> So, any digital business strategy presumes that data's an asset, and things that are related to data are assets, including software in many... Well, software is data when you come right down to it. >> Mm-hm. >> And we want to exploit that data and generate new sources of value out of that data, and that's one of the predicates of digital business, but at the same time we also want to protect those attributes of data-- >> Mm-hm. >> That are our IP, our enterprise's distinction. As we move forward with software, how do we reconcile that tension between more openness and generating a community that's capable of improving things, while at the same time ensuring that we've got good control over our IP where it actually does create a business differentiation? >> Now, that's right, and you're right, data's king. So, you know, the software can do, you know, a set of things, but most of the time it's operating on a set of that data, and that data's where the true value that you can unlock comes from. Our policy, from an IBM perspective, has always been that, you know, your data is yours, and to your point, this IP that you may want to protect, and we try to give you the tools to do that, and so a lot of our philosophy, within the cloud in particular, is around things like Bring Your Own Key, where you have control of the keys that encrypt that data that's in the cloud. In fact, we would like to be totally out of that loop, quite frankly, and have it be something that is controlled by our clients, and that they can, you know, get the value they're looking for, and so we'll never have a situation where one of our services is, you know, using or acting on data that is really, you know, not ours to use, and so that's been a fundamental premise of the cloud as we go forward, and again, we continue to provide a set of tools that really let you manage that, and to your point, you know, not everything gets managed at the same level. Some things are highly protected, and therefore have, you know, layers and layers of security policy around them, and there's other examples where, you know, you're relatively able to make that open through a set of APIs, for example, and let everybody have access it. From our perspective, though, that's really a client choice, and so for us it's about giving the right tools so that they can do the job they need to do. >> February 2019, San Francisco, IBM's taking over San Francisco with the IBM THINK show. What types of conversations are you looking forward to having with customers? What excites you about the 2019 version? >> Yeah, so I mean it's a great venue. It is absolutely, you know, something that I look forward to every year. I know my team looks forward to it, as well. I mean, the amount of interaction we get with clients... I mean, it's really all about the client stories, so you know, what are they able to do, in my case, with our cloud services. What can I learn about what they've done, and how, you know, can we then leverage that to make our services better, and so, you know, to me it's all about, you know, what you can learn from others, and it's a great form to be able to do that and there's a lot of great things that, you know, you can dive deep on. You get access to a lot of the IBM technical experts, so I have all of my, you know, fellows and distinguished engineers there, you know, on hand, and just great conversations. There's always great insights that you get from it, highly recommend it. >> Don Bolia, IBM general manager of cloud developer services, thanks very much for being on theCUBE. >> Thank you. >> Once again, we'll be back from IBM Innovation Day here at Thomas J. Watson Research Center in York Town Heights, talk to you soon. (techy music)
SUMMARY :
Analyst Summit, brought to you by IBM. Don Bolia is the general manager and about the fact that everybody's is something that happens in, you know, of database and the role and we are seeing new and so, you know, people have got to have How is the process, how and in order to do that, you really Well, software is data when you come that we've got good control over our IP and that they can, you know, What excites you about the 2019 version? and so, you know, to me it's all about, of cloud developer services, in York Town Heights, talk to you soon.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Peter Burris | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Don Boulia | PERSON | 0.99+ |
Don Bolia | PERSON | 0.99+ |
February 2019 | DATE | 0.99+ |
Hillery Hunter | PERSON | 0.99+ |
Don | PERSON | 0.99+ |
2019 | DATE | 0.99+ |
San Francisco | LOCATION | 0.99+ |
York Town Heights, New York | LOCATION | 0.99+ |
early 1970s | DATE | 0.98+ |
IBM Innovation Day | EVENT | 0.98+ |
Thomas J. Watson Research Lab | ORGANIZATION | 0.96+ |
York Town Heights | LOCATION | 0.96+ |
one | QUANTITY | 0.96+ |
10 years | QUANTITY | 0.95+ |
IBM Cloud Analyst Summit | EVENT | 0.95+ |
IBM Innovation Day 2018 | EVENT | 0.95+ |
an hour | QUANTITY | 0.95+ |
over 500 updates a week | QUANTITY | 0.94+ |
five | QUANTITY | 0.93+ |
today | DATE | 0.93+ |
Codd | PERSON | 0.93+ |
SQL | TITLE | 0.88+ |
theCUBE | ORGANIZATION | 0.87+ |
Watson | ORGANIZATION | 0.87+ |
Thomas J. Watson Research Center | LOCATION | 0.79+ |
couple lines | QUANTITY | 0.76+ |
days | QUANTITY | 0.65+ |
single industry | QUANTITY | 0.63+ |
Kubernetes | ORGANIZATION | 0.61+ |
couple | QUANTITY | 0.57+ |
lot | QUANTITY | 0.51+ |
Denis Kennelly, IBM | IBM Innovation Day 2018
>> From Yorktown Heights, New York, it's theCUBE, covering IBM Cloud Innovation Day, brought to you by IBM. >> I'm Peter Burris of Wikibon. Welcome back to IBM Innovation Day, covered by theCUBE, from beautiful Yorktown Heights, New York, Thomas J. Watson Research Center. A lot of great conversations about the journey to the cloud and what it means, and we're going to have another one here with Denis Kennelly, who is the General Manager of Cloud Integration in IBM. Denis, welcome to theCUBE. >> Thank you, Peter, and welcome to Yorktown also. >> I love it here. So, very quickly, what does the GM of Cloud Integration do? >> Yeah, so, I suppose we start from the beginning, right? So I am responsible for a lot of what we call the traditional IBM middleware. So these are brands that are known to the industry and to our customers, things like WebSphere, Message Queue, or MQ, as we know it, which is kind of the core foundation stones for a lot of IT today that's out there in the industry. And it's not just about, you know, sometimes people talk about this legacy, but this is what all the systems run on today. And also, I'm involved in the whole journey of moving that middleware to the cloud and enabling customers to get on that journey to cloud. And it's not just to a cloud, because your typical enterprise today has probably on average about five different clouds, and clouds, as we know them as the IS players of the past, but also when we talk about cloud, we also think about things like SaaS properties and applications of that regard. So it's helping customers go from that traditional IT infrastructure and on their journey to the cloud. That's what I do. >> So utilizing these enterprise-ready technologies that have driven the enterprise, bringing them to the cloud as services, but also making sure that the stuff that's currently installed can engage and integrate the cloud from a management service standpoint as well. >> Absolutely, because customers have made a huge investment in this middleware, and a lot of the transactions, and a lot of the security, and a lot of the risks set in these systems, and they have served us very well for many decades. Now, as we start to move to the cloud, it isn't a binary switch. It's going to be a transition over time, and today, I think we're about 20% into that journey. I would say we've done some of the easier parts. Now we're getting into some of the more complex and some of the more difficult problems. And kind of one of the underlying pieces of technology we're using to enable customers to do that is container technology. So we've made the decision to use containers right across our middleware, our software. So what I mean by that is we've taken all our software and it's running on containers today, and that's a key enabler to make this happen, because containers give you that flexibility and that openness to run on different targeted environments and be able to run on different clouds at the end of the day. >> The model by which developers thought about integration would be through a transaction. Generally pretty stateful. So, I'll put something in a queue, I'll wait for a response, guaranteed delivery. Now we're moving to a world, containers, a lot more reliance on stateless interactions. It means we're being driven mainly by events. I'm thinking in terms of events. Talk about how that is changing the way we think about the role of middleware or the role of integration amongst all these different possible services. >> Yeah, it's a great point. I mean, so if you think about containers, we think about stateless, and we think about microservices, and we talk about event-based applications, so a lot of those front ends are on that today and building on those technologies. So you've got to enable the new developers to build in that way. Now, how do you integrate that with that backend, right? Because at the end of the day, these transactions are running in the backend, and you really want to enable, as part of the transformation, you want to open up those backends to those new developers and to those new customer insights, because what is digital transformation? It's about putting the customer at the middle and enable insights on those customers, and enable rapid development of those applications. So at the core of that is integration, and integration is not just message-based integration. It's being able to take those backend transactions and surface them up through APIs, not just the standard APIs as we think of maybe as web services, but event-based probability models, and event-based APIs also, and doing that in a consistent and a secure manner, because if you have all these complex transactional systems, who has access to that data? Who has access to make those transactions? Who can, at certain levels, et cetera, and we really have to do that in a secure and a consistent manner across these environments is critical to what we do. >> So, can you give us some examples of some customers that are successfully transitioning their backend systems to these new technologies in a way that protects the backend system, makes it economical to do so, in other words, doesn't force change, but can utilize some of these new integration technologies to make both the new investments more valuable but also the backends more valuable too. >> Yeah, I mean, if you think of, I'll give you an example of a customer, American Airlines, in the airline industry, right? So, if you think about travel and airline travel in times past, you know, you made a reservation maybe through an agent and you booked the flight from A to B. Today, you have your cellphone, you get regular updates on your flights. If you're delayed, you're possibly offered re-routing options, et cetera, right, so there's a classic example of how digital has transformed the airline industry and the airline booking industry. If your flight, you know, if there's weather patterns, et cetera, how you can get real time updates on your flights. So, okay, that's all happening on the front end, on your cellphone, or your tablet, or whatever, but the backend booking system is still a transactional-based system that says, Peter is on this flight going from A to B at this time, et cetera. So, that's an example of how we have modernized an application and we have worked with American Airlines to make that happen, to give you that kind of 360 view as a customer, where you bring in together flight information, weather information, rating information, because we'll offer you different alternatives in terms of if you need to rebook in the event of something going on, and at the backend, there's still a transaction that says, book Peter on this flight from A to B, and that's a real life example of a transformation, how we've integrated those two worlds there. >> So if we go back five or six, or more than that, say 10, 15 years, in the days of MQ, for example, the people who were developing, and setting up those systems, and administering and managing those systems were a relatively specialized group. Today, the whole concept of DevOps in many respects is borrowing from much of the stuff that those folks did many, many years ago as infrastructure builders, or developers, as I call them. How does that group move into this new world of integration in the cloud? >> Yeah, so, I think first of all, the rate and pace has multiplied, right, so the rate and pace of which we make changes to the system has multiplied. I mean, maybe traditionally, we run in changes maybe once a month. We have things like change control windows. Things were very well controlled, et cetera, right? But at the end of the day, it doesn't meet the needs of today and what we need to do in a digital world. So today, we're running in changes on the hour. So now, you're faced with a challenge, right? So when you make changes, how do you know that the system is still performing, is still operating at the level you need it to operate on? You start to think about security and you start to think about, okay, I've made a change, have I introduced vulnerabilities into the system? You've got to, you know, in the past, these were all separate groups and almost islands within the operation center, where you have the developer, who kind of over to all the code, and then operations looked at it and see how it's performed, and security checked for compliance, et cetera, and they were kind of three different islands of personas or groups within the organization. Today, that's really collapsing into one organization. The developer is responsible for making sure the change gets in, for making sure the change performs, and is also security compliant. And we call this the role of the SRE, or the systems reliability engineer, and really bringing those two worlds together into one persona, and it's not just one persona but having the systems on the inside to make that happen. And that's critical in how management is changing and the management of these systems is changing, and how the skill level is needed in this new world. >> So Denis, one more question. In a few months, IBM Think is going to take over San Francisco, February 2019, >> Looking forward to it. >> 3,000 people. Talk to us a little bit about what gets you excited about Think, and what kind of conversations you hope to be having while you're there. >> Yeah, well, you know, this is the one time of the year where all of IBM comes together, and it's new this year that we're going to San Francisco, and in particular, in our cloud business, which I'll talk about, which really encompasses everything we're talking about here, which is our middleware business and also how we move customers to the cloud, and really engaging with customers in those conversations. And this is the one time of the year where all of IBM comes together, and where you can see the full breadth of our capabilities all the ways from our systems, and the hardware, down at that level, at the chip level, right through to the middleware and the software to our cloud, and actually engaging with customers, and really understanding what the customer needs are, and making sure that what we are working on is meeting those customer needs, and of course, if we need to adapt or change, and take that feedback back into the organization, so we do that in real time. It's a very exciting time for us. It's a week in the year that I really look forward to, because that's where all of IBM comes together, including our services, et cetera, and where we actually have conversations with key customers and partners and really understanding what's going on in the industry and how we can help people on this journey to the cloud that I talked about. >> Denis Kennelly, IBM General Manager of Cloud Integration, thanks very much for being on theCUBE. >> Thank you, Peter. And once again, this is Peter Burris. We're signing off from the IBM Innovation Day, here at the Thomas J. Watson Research Center in Yorktown Heights. Thank you very much for watching. Let's carry on these conversations about cloud and the future of computing.
SUMMARY :
brought to you by IBM. the journey to the and welcome to Yorktown also. what does the GM of Cloud Integration do? and on their journey to the cloud. that have driven the enterprise, and a lot of the transactions, the way we think about and to those new customer insights, but also the backends more valuable too. and at the backend, in the days of MQ, for example, and how the skill level is needed IBM Think is going to and what kind of conversations and the software to our cloud, of Cloud Integration, and the future of computing.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Denis Kennelly | PERSON | 0.99+ |
Denis | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
10 | QUANTITY | 0.99+ |
February 2019 | DATE | 0.99+ |
American Airlines | ORGANIZATION | 0.99+ |
Today | DATE | 0.99+ |
five | QUANTITY | 0.99+ |
Yorktown | LOCATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
six | QUANTITY | 0.99+ |
two worlds | QUANTITY | 0.99+ |
3,000 people | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
IBM Innovation Day | EVENT | 0.99+ |
Wikibon | ORGANIZATION | 0.99+ |
Yorktown Heights | LOCATION | 0.98+ |
15 years | QUANTITY | 0.98+ |
Yorktown Heights, New York | LOCATION | 0.97+ |
one organization | QUANTITY | 0.97+ |
IBM Cloud Innovation Day | EVENT | 0.97+ |
one persona | QUANTITY | 0.97+ |
about 20% | QUANTITY | 0.97+ |
both | QUANTITY | 0.96+ |
three | QUANTITY | 0.96+ |
one time | QUANTITY | 0.96+ |
IBM Innovation Day 2018 | EVENT | 0.96+ |
this year | DATE | 0.96+ |
theCUBE | ORGANIZATION | 0.93+ |
once a month | QUANTITY | 0.92+ |
Thomas J. Watson Research Center | ORGANIZATION | 0.91+ |
Cloud Integration | ORGANIZATION | 0.88+ |
one more question | QUANTITY | 0.87+ |
WebSphere | TITLE | 0.84+ |
Thomas J. Watson Research Center | ORGANIZATION | 0.84+ |
many years ago | DATE | 0.83+ |
360 view | QUANTITY | 0.79+ |
about five different clouds | QUANTITY | 0.75+ |
General Manager | PERSON | 0.74+ |
Think | COMMERCIAL_ITEM | 0.74+ |
first | QUANTITY | 0.7+ |
a week | QUANTITY | 0.63+ |
one | QUANTITY | 0.58+ |
Message | TITLE | 0.56+ |
MQ | ORGANIZATION | 0.52+ |
Think | ORGANIZATION | 0.51+ |
decades | QUANTITY | 0.49+ |
Jason McGee, IBM | IBM Innovation Day 2018
>> From Yorktown Heights, New York, it's theCUBE, covering IBM Cloud Analyst Summit, brought to you by IBM. >> Hi, I'm Wikibon's Peter Burris. Welcome back to theCUBE coverage of IBM Innovation Day, here at the Thomas J. Watson Research Center in Yorktown Heights, New York. Great series of conversations, and this next one also is going to be a great conversation, with Jason McGee, who's an IBM Fellow, VP and CTO of Cloud Platform here at IBM. Jason, welcome to theCUBE. >> Thanks for having me. >> So, we've had a lot of great conversations about what does open mean, where is the cloud going, what is the role of developers in this whole thing, but I want to dig a little bit deeper into this kind of core question. The cloud suggests a new model for computing. I would also think that would mean that there's a new model for development on the horizon. >> Yeah, absolutely. >> Can you talk to us a little bit about that? >> Yeah, sure, I mean, I think that's absolutely true. I think one of the core things that people are trying to get out of cloud these days is development velocity, you know. For many years, of course, one of the key pressures in IT has been how do I do stuff more quickly, and that's gone through many iterations over time, but I think cloud today, people are really trying to figure out how to leverage cloud as a platform for speed of development, and the combination of services on cloud, and new development models like microservices, and new technologies like containers are all kind of contributing elements in helping people solve this problem, how do I build stuff more quickly. >> So, with all that new technology, is a new mindset required? Does somebody think about the problem differently, does somebody break the problem down differently? How do you start with that notion of looking at a business requirement or business outcome, and translate it into the technology? We used to just create code. Now we're doing something different. >> Yeah, I think the first thing you have to do is think about how to organize people. You know, software development at the end of the day is a sport amongst people and you have to think about how to break up the problem, and so, like microservices, a lot of us think of microservices as a technology. It's not really a technology, it's really a philosophy about how to attack a problem with a group of people, it's about how to organize, and its fundamental idea is break it into independent parts, and allow a small team of people to not only develop that part but to own it end-to-end, you know, like the old development model was development, test, production, hand it over the wall to operations. The new model is break it into small problems and then have a team own the whole thing end-to-end, and with that new organizational philosophy comes new architectures for apps, new technologies to help you do that, and new platforms to run things on. >> So, as we think about that, that suggests that the approach to software from a licensing standpoint, from what are you buying, what are you installing is also going to change. How do you foresee, and what is IBM preparing customers for in this kind of new world where software is a service coming from a lot of different places as opposed to a license with, you know, 800 million lines of code or eight billion lines of code behind it? >> Yeah, it's interesting. I think these new ideas are enabled by things like cloud. Part of the reason that cloud has enabled this new model to be feasible is because you get, for example, consumption-based pricing. You can use a wide variety of technologies, you can pick the right tool for the job, you can pay for just what you use, and therefore, the old models of static software licensing and big platforms can start to fade away as these small teams are able to kind of pick the right tool for the job, and that wouldn't be possible in a world without like, as a service delivery, and meter pricing, and things like that, because you would have to consolidate to fewer choices and buy bigger chunks of things. >> As you said, microservices is more of a philosophical approach to how you think about software, and it's also predicated on that wonderful notion of REST. A great paper was written a number of years ago on APIs. IBM has kind of an interesting role in the industry, though. IBM has got to bring a whole bunch of customers with highly stateful applications forward into the cloud. Kubernetes, great for stateful. How are we going to address that tension between the stateless world of greenfield applications and the stateful legacy that has to move into this new world? >> Yeah, I'm glad you brought that up. I mean, I think a lot of times new trends emerge and it's easy to ignore the past, but the lesson I've learnt in over 20 years in IT is like, nothing ever goes away, right, and so you have to not only define the future, but you have to figure out how to help people get there. I actually think part of the reason technologies like Kubernetes are so dominant right now is because they actually do a reasonable job at both. You know, Kubernetes and containers are a great platform for the kind of new architectures and for adopting these new methodologies we're talking about, but they can also accommodate the existing apps, and you can move existing apps into these new platforms, and so, that helps give people a path. They can move something they have and then slowly re-factor it, or they can move something they have and build new things around it, and they could do all that with platforms like Kubernetes as an enabler, right? And it's been interesting to watch. Like, at IBM, we obviously make Kubernetes available, both in our public and private clouds, but we're also big users, and we run all of our cloud services on that platform. Stateful databases, AI and machine learning workloads, analytics platforms, stateless web apps, like, the whole lot, we've been able to run on a platform like that. >> Talk to me a little bit about this notion of cloud operating model and how we manage that, because it seems to me as though the user adoption of a lot of these new technologies are going to be facilitated if we can put forward a management platform that uses those technologies to manage those technologies. What's the relationship there between the evolution of management? Is that a leading edge of how we are going to see people adopt some of these technologies? >> It's certainly a very kind of critical component of the story. I mean, if you really believe in the idea that where we want to move to is this kind of microservice model of small teams that run things themselves, then you get into the question of, all right, well, if you have eight people whose job is to run something in production, they need to be able to do that efficiently, right? You can't have complex operational processes, you need a lot of really good tools, it needs to be really easy for them, 'cause you're asking people to have a really vast set of knowledge, and so, it's driving the evolution of management philosophies. You're seeing new technologies, like SDO, for example, emerge, which are allowing like an application person to define policy about security, and access, and networking that normally would've required like a network expert to go to. >> And more, which makes it a very powerful platform. >> Powerful platform, right, but I think it's coming out of this realization that like, if that small team of people ever want to sleep, and when they have to run things, they're going to need tools to help them do that. So it's been interesting to watch that kind of circular evolution of these different domains. >> So, 20 years of experience from web-sphere forward. Let's think about the next five years. Where is the biggest innovation going to happen in software? >> Well, I mean, there's the obvious stuff around the application of AI, but the part that I'm most excited about is I think we've been on an arc over the last 20 years, to make the application the center of IT. You know, historically, infrastructure has been the center of IT. You start a project, you buy a server, you install an operating system, you set up management tools. >> That's been a big asset. >> The center has been the infrastructure and you build your way up. And I think as velocity has become dominant, we've been trying to flip it and say, I'm building an app. Let me focus on the app, and focus on what the app needs, and drive the requirements down, and I don't think we're done yet. I think there's a lot more to do there, but that's the path we're on. I think over the next five years, we'll really get there, where as an app team, I don't really have to think about infrastructure, and I can have the system adapt to the needs of the application. >> Do you foresee a point where the data and the application are increasingly and further broken apart? >> The data and the application? I don't know that they're going to be further broken apart, but I think we'll see more kind of intelligent scheduling and combinations of those things, like there are cases where the data needs to be king, and the application needs to come to the data, and vice versa, and historically, the data world and the app world have been pretty separate, right, and you know, again, if we think teams are going to run their things, then just like they're doing ops and dev, they're going to have to do apps and data, right, and so, there's an opportunity there to bring those worlds closer. I see some of it, but, you know, Kubernetes as an example, as a common operational platform for both kinds of systems, but there's more, for sure. >> So bring it together when it makes the most amount of sense, keep it separate when other people need to use the data. >> Stop assuming you have specialists in every technology, and assume you have a multi-disciplinary team that has to run it all. >> All right, Jason, one more question. February, San Francisco, IBM takes it over with IBM Think. A lot of users, a lot of new questions being raised, a lot of opportunity for learning, a lot of opportunity for networking. What are you hoping to accomplish? What conversations do you want to have at Think? >> Yeah, I'm really excited, I think, to have conversations with clients about how they're actually adapting to this new world. I think sometimes the biggest challenge is not technology, but how organizations assimilate these ideas, and so, I'm excited for the conversations with customers about what problems they're solving, sharing those experiences with each other, and also practitioners. I think we've moved into a world where IT is dominated by the people who actually do the work, by the practitioners, and I really hope to see a lot of them show up at Think in February and share with us what they're doing. >> Jason McGee, IBM Fellow, VP, CTO, Cloud Platform here at IBM. Thanks very much for being on theCUBE. >> Thank you. >> And once again, this is Peter Burris from the Thomas J. Watson Research Center in Yorktown Heights. You've been watching theCUBE. Stay tuned. (techno music)
SUMMARY :
brought to you by IBM. is going to be a great conversation, on the horizon. and the combination of services on cloud, and translate it into the technology? and new platforms to run things on. as opposed to a license with, you know, and buy bigger chunks of things. and the stateful legacy that has to move and it's easy to ignore the past, are going to be facilitated if we can and so, it's driving the evolution of a very powerful platform. So it's been interesting to watch Where is the biggest innovation but the part that I'm and I can have the system adapt the data needs to be king, need to use the data. and assume you have a What are you hoping to accomplish? and I really hope to see a lot of them on theCUBE. from the Thomas J. Watson Research Center
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jason | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Jason McGee | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
February | DATE | 0.99+ |
20 years | QUANTITY | 0.99+ |
eight billion lines | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
eight people | QUANTITY | 0.99+ |
Yorktown Heights, New York | LOCATION | 0.99+ |
800 million lines | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
over 20 years | QUANTITY | 0.98+ |
Kubernetes | TITLE | 0.98+ |
Yorktown Heights | LOCATION | 0.98+ |
Think | ORGANIZATION | 0.98+ |
IBM Innovation Day | EVENT | 0.97+ |
both | QUANTITY | 0.97+ |
Thomas J. Watson Research Center | ORGANIZATION | 0.96+ |
IBM Innovation Day 2018 | EVENT | 0.96+ |
today | DATE | 0.96+ |
both kinds | QUANTITY | 0.95+ |
IBM Cloud Analyst Summit | EVENT | 0.95+ |
one more question | QUANTITY | 0.94+ |
Wikibon | ORGANIZATION | 0.92+ |
Cloud Platform | ORGANIZATION | 0.78+ |
Thomas J. Watson Research Center | ORGANIZATION | 0.76+ |
last 20 years | DATE | 0.76+ |
first thing | QUANTITY | 0.76+ |
SDO | TITLE | 0.7+ |
of years ago | DATE | 0.69+ |
next five years | DATE | 0.69+ |
Think | COMMERCIAL_ITEM | 0.6+ |
theCUBE | ORGANIZATION | 0.48+ |
CTO | ORGANIZATION | 0.45+ |
Hillery Hunter, IBM | IBM Innovation Day 2018
(technological music) >> From Yorktown Heights, New York, it's theCUBE covering IBM Cloud Innovation Day, brought to you by IBM. >> Hi, I'm Peter Burris and we are broadcasting theCUBE from IBM Innovation Day at the Thomas J. Watson Research Lab in Yorktown, New York. We've got a great number of guests to talk about. We're going to start with Hillery Hunter, who's the CTO and vice-president of cloud infrastructure at IBM. Hillery, welcome to theCUBE. >> Thank you very much. Pleasure to be here. >> So, you're relatively new in your role. Tell us about some of the things that you're focusing on as the CTO of cloud infrastructure here at IBM. >> As CTO for cloud infrastructure, I'm focused on making our cloud the best possible place that it can be for people to bring their data, bring their applications, and overall, come into that modernization journey with us, the process of transforming to become a digital enterprise. >> So, one of the things that people talk about all the time is how fast data's being generated. Nobody seems to be talking about how fast software is being generated, and yet, that seems to be one of the advantages and potentially the liabilities of doing cloud wrong. Talk to us a little bit about how IBM sees the world of software changing as we move forward with the cloud. >> [Hillery] There are parts that are consistent with what we've seen for about the past 20 years in open source, and there are parts that certainly, we feel like are accelerating and changing. With regard to the pace of software and its change today, open source is clearly this innovation space. It's this playground where lots of people can go and can contribute. We can take... We're here at the IBM research facility. We can take the latest in innovations and math that helps us accomplish great AI and AI insights. We can take that into open source. We can take microservice integration capabilities and take it into open source and work there collaboratively with people across the industry. What we see, therefore, is a tremendous rate and pace in change of software and the capability of software and its ability to analyze data and bring insights to data and realize the promises of big data, of getting insight out of that data, is just really on a tremendous growth rate. When you move to cloud, you're not just doing what they used to say of converting capital expense on premises into opex and renting a server in the cloud. You're bringing your overall workload and modernizing it and bringing it into this era where you're able to apply through microservices and cloud-based programming methodology, you're able to bring the latest of software capability to your data and get more insights out of it. >> You're really able to alter the operating model of how not only your technology group works, but also how your business works. >> Absolutely. >> How does Red Hat play a role in this? >> We have shared principles with Red Hat. We both have been active in the open source communities. IBM famously had billion dollars of investment in LINUX going back 20 years ago, and Red Hat is a prominent name in open source. We have a shared understanding of the value of open source and the value of rate and pace of innovation that's commensurate with what open source provides. We have a shared value around what enterprises need and a shared client-centric view that you need support on your software, that you need certifications, that you expect security, those kind of things. There's tremendous amount of shared value proposition in what we see as the rate and pace of innovation as well as then moving that into an enterprise context. Enterprises make these choices very carefully. As consumers of enterprise capabilities, we expect them to guard our data, we expect them to do things on our data in a secure way, and there are many foundational elements in philosophy that are similar between the two of us. >> You mentioned that cloud started out as this notion of capex to opex, move all your data to a single place, let somebody else deal with it. Increasingly, enterprise is starting to recognize that their data may sometimes have to remain in place. We start talking about innovation, open source, these new classes of services. What is it going to mean to bring the cloud experience to the data from IBM's perspective? >> We really see that the data today exists in multiple places, that largely because of that, people are partway through their journey to overall modernization. They're partway through their journey to the cloud. We really think that the world is going to be hybrid, meaning that... Or, the world is hybrid, I guess I would say, meaning that there is data and there is cloud function needed on premises and in public clouds. There's a need for private, dedicated environments in the public cloud as well. There's a significant amount of IT that is currently traditional in that people are in the process of modernizing, and that may initially be through a private cloud context on the journey to overall workload modernization. We also see that the world is multi-cloud. People are using upwards of 9 clouds or more in many cases, and that, in a lot of cases, has to do with this intersection of function and data residency and being able to bring together all of those pieces of where the data needs to be or where the data currently is, and then bring software function to the data is something that we see as critically important. >> Without being too specific in the use of the word binding, today, the idea is you bring your data to a cloud supplier and then, you can run the services of that cloud supplier supplies on that data. Do you and IBM foresee a world in which the customer's going to be able to control their own data and then acquire the services from the cloud and bring it to their data? Is that the direction you think it's going to go? >> Not only do we see that it will be possible, we think that it is possible and we're putting things in market already today that enable people to bring cloud function to their data. The IBM Cloud private offerings and IBM Cloud private for data enable people to, in their environment, where their data resides, bring sophisticated data, warehousing data analytics and AI capabilities. Fundamentally, that process of workload modernization is a set of steps and it starts with data and it starts with modernization of that environment and it matures then into being able to get deep insights through the power of AI on that data. >> Let me ask you one more question. In February, IBM's going to host 30,000+ people in San Francisco. Unbelievable opportunity for networking, learning, and IBM Think. What kind of conversations do you expect that you're going to be having in Think in 2019? >> I think you hit at the heart of the conversations that we're going to be having at Think and our positioning of the hybrid multi-cloud environment. Our other core tenets there are open and open source and keeping up with the rate and pace of open source as an innovation stream, providing choice in how folks are deploying cloud and deploying systems. We also are going to be having conversations around security. That's a core enterprise value proposition and ultimately, management. You want to not just declare that the world is hybrid and multi-cloud, but provide solutions to that and we believe we have strong answers to how to bring these pieces together and enable people to successfully move at the rate and pace of innovation that they need, yet in a secure context, and leverage the ability to deploy cloud capabilities where their data currently is, be that on private or public context. >> Hillery Hunter, CTO and vice president of cloud infrastructure at IBM, thanks for talking to theCUBE here today at the IBM Innovation Day. >> Thank you so much for having me. It was a pleasure. >> And, we will be back momentarily with more conversations at IBM Innovation Day.
SUMMARY :
brought to you by IBM. We're going to start with Pleasure to be here. as the CTO of cloud and overall, come into that that people talk about all the time and its ability to analyze You're really able to and the value of rate What is it going to mean to We also see that the world is multi-cloud. Is that the direction you that enable people to bring that you're going to be and leverage the ability to at the IBM Innovation Day. Thank you so much for having me. And, we will be back momentarily
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Peter Burris | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Hillery | PERSON | 0.99+ |
February | DATE | 0.99+ |
San Francisco | LOCATION | 0.99+ |
two | QUANTITY | 0.99+ |
Hillery Hunter | PERSON | 0.99+ |
2019 | DATE | 0.99+ |
billion dollars | QUANTITY | 0.99+ |
IBM Innovation Day | EVENT | 0.99+ |
Yorktown, New York | LOCATION | 0.99+ |
today | DATE | 0.99+ |
Yorktown Heights, New York | LOCATION | 0.99+ |
9 clouds | QUANTITY | 0.98+ |
30,000+ people | QUANTITY | 0.98+ |
IBM Cloud Innovation Day | EVENT | 0.98+ |
one more question | QUANTITY | 0.97+ |
20 years ago | DATE | 0.97+ |
both | QUANTITY | 0.96+ |
Think | ORGANIZATION | 0.95+ |
one | QUANTITY | 0.95+ |
Red Hat | TITLE | 0.94+ |
IBM Innovation Day 2018 | EVENT | 0.93+ |
Thomas J. Watson Research Lab | ORGANIZATION | 0.93+ |
single place | QUANTITY | 0.87+ |
Think | COMMERCIAL_ITEM | 0.85+ |
CTO | PERSON | 0.85+ |
LINUX | TITLE | 0.81+ |
theCUBE | ORGANIZATION | 0.71+ |
past 20 years | DATE | 0.58+ |
opex | ORGANIZATION | 0.53+ |
Cloud | COMMERCIAL_ITEM | 0.48+ |
theCUBE | TITLE | 0.43+ |
Rob Thomas, IBM | IBM Innovation Day 2018
(digital music) >> From Yorktown Heights, New York It's theCUBE! Covering IBM Cloud Innovation Day. Brought to you by IBM. >> Hi, it's Wikibon's Peter Burris again. We're broadcasting on The Cube from IBM Innovation Day at the Thomas J Watson Research Laboratory in Yorktown Heights, New York. Have a number of great conversations, and we got a great one right now. Rob Thomas, who's the General Manager of IBM Analytics, welcome back to theCUBE. >> Thanks Peter, great to see you. Thanks for coming out here to the woods. >> Oh, well it's not that bad. I actually live not to far from here. Interesting Rob, I was driving up the Taconic Parkway and I realized I hadn't been on it in 40 years, so. >> Is that right? (laugh) >> Very exciting. So Rob let's talk IBM analytics and some of the changes that are taking place. Specifically, how are customers thinking about achieving their AI outcomes. What's that ladder look like? >> Yeah. We call it the AI ladder. Which is basically all the steps that a client has to take to get to get to an AI future, is the best way I would describe it. From how you collect data, to how you organize your data. How you analyze your data, start to put machine learning into motion. How you infuse your data, meaning you can take any insights, infuse it into other applications. Those are the basic building blocks of this laddered AI. 81 percent of clients that start to do something with AI, they realize their first issue is a data issue. They can't find the data, they don't have the data. The AI ladder's about taking care of the data problem so you can focus on where the value is, the AI pieces. >> So, AI is a pretty broad, hairy topic today. What are customers learning about AI? What kind of experience are they gaining? How is it sharpening their thoughts and their pencils, as they think about what kind of outcomes they want to achieve? >> You know, its... For some reason, it's a bit of a mystical topic, but to me AI is actually quite simple. I'd like to say AI is not magic. Some people think it's a magical black box. You just, you know, put a few inputs in, you sit around and magic happens. It's not that, it's real work, it's real computer science. It's about how do I put, you know, how do I build models? Put models into production? Most models, when they go into production, are not that good, so how do I continually train and retrain those models? Then the AI aspect is about how do I bring human features to that? How do I integrate that with natural language, or with speech recognition, or with image recognition. So, when you get under the covers, it's actually not that mystical. It's about basic building blocks that help you start to achieve business outcomes. >> It's got to be very practical, otherwise the business has a hard time ultimately adopting it, but you mentioned a number of different... I especially like the 'add the human features' to it of the natural language. It also suggests that the skill set of AI starts to evolve as companies mature up this ladder. How is that starting to change? >> That's still one of the biggest gaps, I would say. Skill sets around the modern languages of data science that lead to AI: Python, AR, Scala, as an example of a few. That's still a bit of a gap. Our focus has been how do we make tools that anybody can use. So if you've grown up doing SPSS or SaaS, something like that, how do you adopt those skills for the open world of data science? That can make a big difference. On the human features point, we've actually built applications to try to make that piece easy. Great example is with Royal Bank of Scotland where we've created a solution called Watson Assistant which is basically how do we arm their call center representatives to be much more intelligent and engaging with clients, predicting what clients may do. Those types of applications package up the human features and the components I talked about, makes it really easy to get AI into production. >> Now many years ago, the genius Turing, noted the notion of the Turing machine where you couldn't tell the difference between the human and a machine from an engagement standpoint. We're actually starting to see that happen in some important ways. You mentioned the call center. >> Yep. >> How are technologies and agency coming together? By that I mean, the rate at which businesses are actually applying AI to act as an agent for them in front of customers? >> I think it's slow. What I encourage clients to do is, you have to do a massive number of experiments. So don't talk to me about the one or two AI projects you're doing, I'm thinking like hundreds. I was with a bank last week in Japan, and they're comment was in the last year they've done a hundred different AI projects. These are not one year long projects with hundreds of people. It's like, let's do a bunch of small experiments. You have to be comfortable that probably half of your experiments are going to fail, that's okay. The goal is how do you increase your win rate. Do you learn from the ones that work, and from the ones that don't work, so that you can apply those. This is all, to me at this stage, is about experimentation. Any enterprise right now, has to be thinking in terms of hundreds of experiments, not one, not two or 'Hey, should we do that project?' Think in terms of hundreds of experiments. You're going to learn a lot when you do that. >> But as you said earlier, AI is not magic and it's grounded in something, and it's increasingly obvious that it's grounded in analytics. So what is the relationship between AI analytics, and what types of analytics are capable of creating value independent of AI? >> So if you think about how I kind of decomposed AI, talked about human features, I talked about, it kind of starts with a model, you train the model. The model is only as good as the data that you feed it. So, that assumes that one, that your data's not locked into a bunch of different silos. It assumes that your data is actually governed. You have a data catalog or that type of capability. If you have those basics in place, once you have a single instantiation of your data, it becomes very easy to train models, and you can find that the more that you feed it, the better the model's going to get, the better your business outcomes are going to get. That's our whole strategy around IBM Cloud Private for Data. Basically, one environment, a console for all your data, build a model here, train it in all your data, no matter where it is, it's pretty powerful. >> Let me pick up on that where it is, 'cause it's becoming increasingly obvious, at least to us and our clients, that the world is not going to move all the data over to a central location. The data is going to be increasingly distributed closer to the sources, closer to where the action is. How does AI and that notion of increasing distributed data going to work together for clients. >> So we've just released what's called IBM Data Virtualization this month, and it is a leapfrog in terms of data virtualization technology. So the idea is leave your data where ever it is, it could be in a data center, it could be on a different data center, it could be on an automobile if you're an automobile manufacturer. We can federate data from anywhere, take advantage of processing power on the edge. So we're breaking down that problem. Which is, the initial analytics problem was before I do this I've got to bring all my data to one place. It's not a good use of money. It's a lot of time and it's a lot of money. So we're saying leave your data where it is, we will virtualize your data from wherever it may be. >> That's really cool. What was it called again? >> IBM Data Virtualization and it's part of IBM Cloud Private for Data. It's a feature in that. >> Excellent, so one last question Rob. February's coming up, IBM Think San Francisco thirty plus thousand people, what kind of conversations do you anticipate having with you customers, your partners, as they try to learn, experiment, take away actions that they can take to achieve their outcomes? >> I want to have this AI experimentation discussion. I will be encouraging every client, let's talk about hundreds of experiments not 5. Let's talk about what we can get started on now. Technology's incredibly cheap to get started and do something, and it's all about rate and pace, and trying a bunch of things. That's what I'm going to be encouraging. The clients that you're going to see on stage there are the ones that have adopted this mentality in the last year and they've got some great successes to show. >> Rob Thomas, general manager IBM Analytics, thanks again for being on theCUBE. >> Thanks Peter. >> Once again this is Peter Buriss of Wikibon, from IBM Innovation Day, Thomas J Watson Research Center. We'll be back in a moment. (techno beat)
SUMMARY :
Brought to you by IBM. at the Thomas J Watson Research Laboratory Thanks for coming out here to the woods. I actually live not to far from here. and some of the changes care of the data problem What kind of experience are they gaining? blocks that help you How is that starting to change? that lead to AI: Python, AR, notion of the Turing so that you can apply those. But as you said earlier, AI that the more that you feed it, that the world is not So the idea is leave your What was it called again? of IBM Cloud Private for Data. that they can take to going to see on stage there Rob Thomas, general Peter Buriss of Wikibon,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Peter Buriss | PERSON | 0.99+ |
Japan | LOCATION | 0.99+ |
Rob Thomas | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
one | QUANTITY | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
one year | QUANTITY | 0.99+ |
Royal Bank of Scotland | ORGANIZATION | 0.99+ |
Rob | PERSON | 0.99+ |
81 percent | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
last year | DATE | 0.99+ |
two | QUANTITY | 0.99+ |
Peter Burris | PERSON | 0.99+ |
February | DATE | 0.99+ |
first issue | QUANTITY | 0.99+ |
Yorktown Heights, New York | LOCATION | 0.99+ |
IBM Innovation Day | EVENT | 0.99+ |
IBM Analytics | ORGANIZATION | 0.99+ |
hundreds | QUANTITY | 0.99+ |
Wikibon | ORGANIZATION | 0.98+ |
Python | TITLE | 0.98+ |
Taconic Parkway | LOCATION | 0.98+ |
40 years | QUANTITY | 0.98+ |
Scala | TITLE | 0.98+ |
thirty plus thousand people | QUANTITY | 0.97+ |
IBM Cloud Innovation Day | EVENT | 0.96+ |
hundreds of experiments | QUANTITY | 0.96+ |
today | DATE | 0.96+ |
Watson Assistant | TITLE | 0.96+ |
one place | QUANTITY | 0.94+ |
IBM Innovation Day 2018 | EVENT | 0.93+ |
Thomas J Watson Research Center | ORGANIZATION | 0.93+ |
SPSS | TITLE | 0.89+ |
this month | DATE | 0.88+ |
one environment | QUANTITY | 0.86+ |
San Francisco | LOCATION | 0.8+ |
half of | QUANTITY | 0.79+ |
hundreds of people | QUANTITY | 0.78+ |
many years ago | DATE | 0.77+ |
hundreds of experiments | QUANTITY | 0.76+ |
single instantiation | QUANTITY | 0.76+ |
hundred different AI projects | QUANTITY | 0.76+ |
one last question | QUANTITY | 0.73+ |
SaaS | TITLE | 0.71+ |
Turing | ORGANIZATION | 0.71+ |
AR | TITLE | 0.7+ |
IBM Think | ORGANIZATION | 0.69+ |
J Watson Research | ORGANIZATION | 0.67+ |
Thomas | LOCATION | 0.62+ |
The Cube | TITLE | 0.58+ |
money | QUANTITY | 0.58+ |
Virtualization | COMMERCIAL_ITEM | 0.55+ |
Laboratory | LOCATION | 0.54+ |
Turing | PERSON | 0.51+ |
Cloud Private | COMMERCIAL_ITEM | 0.49+ |
Private for | COMMERCIAL_ITEM | 0.47+ |
Cloud | TITLE | 0.3+ |
Karen Wiener, The New Wheel | InterBike 2018
[Music] hey welcome back everybody Jeff freek here with the cube we're in Reno Nevada at the inner bike show it's a big show all about bikes and mountain bikes but we're really to talk about ebike skuzzy bikes is this new class of really transportation not really new turns out that gazelles been making them since 2002 so we're at the Royal Dutch gazelle event that adjective in next to enter bike and we're excited to see they're releasing a bunch of new bikes and really dig into what are these e bikes all about we've been told that the United States a little bit behind you're starting to see them show up is it a last mile vehicle is it you know a primary vehicle what are the laws and regulations or we're really excited to have our first guest she's been dealing with this for years and years and years it's current wiener she is a co-owner of the new wheel Carn great to see you thanks thanks for having me absolutely so give us a little background on the new wheel where are you guys how long have been around what's your what's your focus yeah and the new wheel is located in San Francisco and Marin County and Larkspur we opened in 2010 so about eight years ago out of our excuse me out of our apartment because we realized that nobody was really seeing the opportunity in this transportation alternative right and so we were seeing what was happening in Europe which like you said has been happening for a while and we realized that gosh San Francisco is the perfect place it's it's an obvious match an electric bike which basically amplifies your pedaling power acts exactly like a bicycle except for you're always in your best shape and having your best day and having the most fun and so um we started with basically one bike who are three bikes and we had a mobile shop that we would ride from farmers market to farmers market then we opened our first store in 2012 and we're still in that location in Bernal Heights in San Francisco and we focus on curating high quality electric bikes that are going to work really well in San Francisco which as you know is a really rugged especially in terms of elevation gain environment right so what if you could talk about some things some miss or not miss so one thing is why we came here is we were really looking at e-bikes is really a last bio vehicle and that's kind of in the in the line of smart cities and in kind of multimodal transportation do you'd have a lime scooter to the Cal train maybe it's your car maybe you've got your own bike but what I'm hearing here is these things are a lot more than last mile vehicles these are actually substitution vehicles for a significant amount of car rides not just the two miles run down to the store to get some milk or to get some cereal or to get some coffee but a much heavier load on these things yeah it's very very interesting so if we look to Europe the ebike started as a replacement for bicycle trips in kind of urban environments for people who are maybe getting older or whatever and the Bison and any bike works really well for just in in turn inner-city transportation there's been an interesting kind of development in Europe in the last say four or five years which is the rise of the speed electric bike you can with a very small battery you can ride 40 to 60 miles 40 to 60 months yeah and that means that you can ride from one city to another so now what we're seeing is a clerk across the Netherlands actual bicycle super highways that cover maybe you know five to 20 miles and that becomes a reasonable bicycle ride on the daily basis and that's really exciting it's something that is unlike basically any other form of transportation it's not a motorcycle it's not that heavy-duty you don't need license or insurance or anything like that you're still getting exercise and you're getting where you need to get right so it's talked about the speed because the speed is interesting thing and I think the speed is what dictates some of the regulation so we see in San Francisco got inundated with the Lyme scooters and there's boosted boards and one wheels and all sorts of kind of contraptions with these great high-capacity batteries and these itty-bitty little little motors so the form factors are numerous but all of them seem to be gated around 20 miles an hour which I think is the regulation to keep them from being considered a scooter you know a internal-combustion scooter so you're talking about speed bikes so they've got bikes here today that goes like 28 miles an hour so how are the regulations keeping up with us a bike that goes 28 miles an hour so it's developing slowly it's developing based on models that have already been tested and used in Europe in California there was actually a model legislation passed I think three years ago which defined three types of electric bikes and defines them as bicycles so type 1 is a bicycle that goes to 20 miles an hour and basically it has to be you have to be pedaling type 2 is a bicycle it also goes to 20 miles an hour but can have a throttle now this is a very Asian type of electric bike it's not quite as polished but usually they're lower-cost okay and then type three is this 27 mile an hour type still a bicycle you're required to wear a helmet and there are some places that you're not allowed to ride them like on shared pedestrian paths right and so what's good about this is it's creating a model for different local and regional governments to create rules it's taking time from but what's exciting is that there is a model so the scooters and the one wheels are all operating under cut-ins this DMV law that is kind of this type of as you describe it is kind of type 1 but it's also kind of skirt like it seems really unclear right I think there's an opportunity and electric bikes for it to be very clear and I think we're on the way to that it's just going to take something right now in terms of the actual utility obviously this is a Dutch company they don't have great weather in Holland as we know San Francisco as you mentioned is a rugged place not to mention the fact it's about as rough as it gets for parked cars getting broken into so what do you see from your customers in terms of the actual utility carrying stuff home from the store survivability in the streets you know not getting stolen inexpensive pieces of gear so what's kind of the experience you've seen with your kind of long history in this space in the city so what I've seen is that what you use matters a lot so the type of bike that you choose out of the gate is going to dictate first of all how well it's going to last and second of all how well it's gonna work in the first place right the other thing is that the way it's not only the bicycle you also have to have the right lock and you have to have the right bag and the right set up to give you the actual full utility potential of the bicycle and that's where you know specialists and retailers really come in you also need service so most people have owned bicycles in their lifetime and it may be stretched one train stretching a chain takes about 2,000 miles on a bike okay an e bike rider usually stretches a train in a little under a year because suddenly your bicycle is your preferred mode of transportation for thousands of miles of errands and and urban duties and and pleasure right that you never had before on a bicycle so it's a switch in terms of how people understand the maintenance that they need on their bike but also what kind of tools they need like a great lock and it turns out that you actually can lock a bike safely not overnight on the street but at any time of day there are locks that work really really well through the bike safe so next day on touch bases kind of the evolving technology yeah so we're hearing over and over that really the the battery technology is getting this just huge boost from autonomous cars because now there's huge investments in battery you've probably seen tremendous developments both in the batteries and the propulsion systems and the technology and these bikes since you've been out that's four for eight years how is that kind of changing and how is that opening up you know maybe the opportunity to people that maybe didn't wanna a shorter range you know six a 10 a 12 a 15 wherever the older kind of range models were battery technology that that originated in laptops and I was being used in cars and autonomous vehicles totally changed the potential for electric bikes and it changes it will change so many things about your bicycle for example not too far down the road I believe that there will be anti-theft devices on every electric bicycle that you buy you're gonna be able to track your bicycle you're gonna be able to track your heart rate you're gonna be able to do all these things seamlessly just as part of your life so when you put a battery on a bike it changes everything about what it can do right now it's assist in the future will be many things there was this switch about eight years ago from old very heavy very polluting batteries to lithium-ion batteries and it it means that you can have a bicycle that is that you can lift you know that weighs between maybe 35 and 60 pounds that will take you anywhere from 25 to 100 miles right right and that's a game-changer right so last question for you what is like the biggest surprise when somebody comes in the store you know you sit him down so any bike and they come back for their first maintenance whatever that they say how this thing has really impacted their lives integrating activity into your life can change your life in all sorts of ways it can reduce stress the funniest one was this this guy came in they'd had this family that had a baby like six months ago guy comes in buys a bike and he comes back for his new tuna and he goes Karen my wife owes you a big one she's a much happier woman now people love their bikes what surprises them I think the most most often is just how many miles they're accruing on their odometer and that makes them excited from a health standpoint from an environmental standpoint and just from a joy in your daily life standpoint when we all live with a lot of stress at a lot of multitasking and taking 20 minutes on your bike and just having a great relaxing time is unbeatable right well thanks for a card take it a few minutes and and sharing the story and nothing but success for the store alright cheese Caron I'm Jeff you're watching the cube we're at the Royal Dutch gazelle bike event outside of Interbike in Reno Nevada thanks for watching [Music]
**Summary and Sentiment Analysis are not been shown because of improper transcript**
ENTITIES
Entity | Category | Confidence |
---|---|---|
2010 | DATE | 0.99+ |
Karen Wiener | PERSON | 0.99+ |
five | QUANTITY | 0.99+ |
20 minutes | QUANTITY | 0.99+ |
Holland | LOCATION | 0.99+ |
Europe | LOCATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
40 | QUANTITY | 0.99+ |
Bernal Heights | LOCATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
two miles | QUANTITY | 0.99+ |
35 | QUANTITY | 0.99+ |
2012 | DATE | 0.99+ |
San Francisco | LOCATION | 0.99+ |
60 pounds | QUANTITY | 0.99+ |
first store | QUANTITY | 0.99+ |
three bikes | QUANTITY | 0.99+ |
Jeff freek | PERSON | 0.99+ |
four | QUANTITY | 0.99+ |
thousands of miles | QUANTITY | 0.99+ |
Marin County | LOCATION | 0.99+ |
Jeff | PERSON | 0.99+ |
Reno Nevada | LOCATION | 0.99+ |
five years | QUANTITY | 0.99+ |
Netherlands | LOCATION | 0.99+ |
28 miles an hour | QUANTITY | 0.99+ |
20 miles an hour | QUANTITY | 0.99+ |
one bike | QUANTITY | 0.99+ |
20 miles an hour | QUANTITY | 0.99+ |
60 months | QUANTITY | 0.99+ |
60 miles | QUANTITY | 0.99+ |
United States | LOCATION | 0.99+ |
California | LOCATION | 0.99+ |
20 miles | QUANTITY | 0.99+ |
25 | QUANTITY | 0.99+ |
28 miles an hour | QUANTITY | 0.98+ |
eight years | QUANTITY | 0.98+ |
100 miles | QUANTITY | 0.98+ |
27 mile an hour | QUANTITY | 0.98+ |
three years ago | DATE | 0.98+ |
six months ago | DATE | 0.98+ |
Karen | PERSON | 0.98+ |
today | DATE | 0.97+ |
about 2,000 miles | QUANTITY | 0.97+ |
one wheels | QUANTITY | 0.97+ |
2002 | DATE | 0.97+ |
around 20 miles an hour | QUANTITY | 0.97+ |
Royal Dutch gazelle | EVENT | 0.97+ |
first guest | QUANTITY | 0.96+ |
one city | QUANTITY | 0.96+ |
one train | QUANTITY | 0.95+ |
one wheels | QUANTITY | 0.93+ |
first place | QUANTITY | 0.92+ |
both | QUANTITY | 0.91+ |
one thing | QUANTITY | 0.91+ |
Asian | OTHER | 0.91+ |
Royal Dutch gazelle bike | EVENT | 0.9+ |
Dutch | OTHER | 0.9+ |
15 | QUANTITY | 0.89+ |
Lyme | ORGANIZATION | 0.89+ |
three types | QUANTITY | 0.87+ |
The New Wheel | ORGANIZATION | 0.86+ |
first maintenance | QUANTITY | 0.84+ |
Caron | PERSON | 0.83+ |
under a year | QUANTITY | 0.83+ |
Interbike | EVENT | 0.82+ |
about eight years ago | DATE | 0.81+ |
Larkspur | LOCATION | 0.8+ |
about eight years ago | DATE | 0.75+ |
InterBike 2018 | EVENT | 0.71+ |
bicycle | QUANTITY | 0.71+ |
DMV | ORGANIZATION | 0.7+ |
years | QUANTITY | 0.69+ |
inner bike show | EVENT | 0.68+ |
first | QUANTITY | 0.67+ |
few minutes | QUANTITY | 0.66+ |
six | QUANTITY | 0.58+ |
ll | QUANTITY | 0.58+ |
type three | QUANTITY | 0.58+ |
Bison | ORGANIZATION | 0.56+ |
10 | QUANTITY | 0.54+ |
12 | QUANTITY | 0.51+ |
1 | OTHER | 0.41+ |
Cal | ORGANIZATION | 0.38+ |
Michelle Noorali, Microsoft | KubeCon 2017
from Austin Texas it's the cube covering cube con and cloud native con 2017 brought to you by Red Hat the Lenox foundations and the cubes ecosystem partners well everyone welcome back to our exclusive coverage from the cube here in Austin Texas we're live on the floor at cloud native con and cube con cubic on like kubernetes gone not the cube con us but cute con we're Michele norelli who's the senior software engineer at Microsoft also the co-chair with Kelsey Heights our great event record-setting attendance I'm John ferry your host with stew minimun Michele welcome to the cube thank you so much for having me so people don't know about if they might have watch the street if you had a stream you're on stage keynoting and managing the whole program here congratulations more attendees here at this event than all the other cube cause of cloud native combined shows the growth and interest in a new way to develop new way to engage with other developers and create value yeah kubernetes has been the heart of it explain cloud native con and cube con what's the difference because I love cloud native but what's this Cooper Denny's thing I love that too yeah was it related a intertwine Wayne take him into his plane there's a there's a really big kubernetes audience and community and they need time to engage and just like work with each other and learn from each other and that's where coop Connie came from soku-kun with the original conference and the first one was a November in Seattle in 2016 and I was actually at that wine was a few hundred people and it was just so small people were actually asking like what is a pod what is kubernetes which are fine questions asked today as well but it was everyone was asking this question nobody was past that point and then you know kubernetes was donated to the CNCs and there were also these other cloud native projects that came about in the space and so we wanted a conference that encompasses both all of the cloud native projects as well as serbs the kubernetes community as well so that's where both of them came from some of the other cloud native projects have their own conferences like Prometheus has prom time and that's been growing as well I think the last one was 200 people up from 70 the last so I gotta ask you because we even cover us we were there at the cube con I was actually having drinks with Luke Tucker at JJ we're like hey we should do this Cuban Eddie's thing and bolted onto the Linux Foundation so you're president creates with the whole team it's been fun to watch Wow yeah but it's the tale of two stories in the community in the industry companies that got funded and we're building open-source and our participants who are building projects out and then a new onboarding of new developers coming into the community a lot of first-timers here you're seeing a visibility into the success of cloud yeah and they're Rieger engaged so you got a lot of folks who have invested into the community and new entrants a migration into the community yeah what does that dynamic mean to the CN CF how is that impacting how you structure in the programming and what are some of the insiders talking about what it is what's the reality yeah I think a lot of it has to do with you know this is a really positive community and there are just like so many people working together and collaborating not just because they I mean it looks like nice to be in a positive community right but you kind of have to like these problems are really hard and it's good to learn from different organizations that have like come across these projects or problems starting in the in the space before and they'll come and collaborate I think some of the things that we've been talking about inside the community is how to actually how to onboard people so the kubernetes community is starting up a new mentorship program to help people that are new to the community start learning how to review code and then PR code and and be productive members in the community and whatever they whatever area they want miss Michelle want to hear about kind of some of the breadth and depth of the community here yeah you know we went there's so many announcements there's a bunch of wando's yeah it's a brand new project I think what it was four projects a year ago and it's now 14 you know right how does somebody's supposed to get their arms around it should they be beat me about that you know where should somebody start you know what do you recommend yeah start with the that's a great question by the way I think that people should start with with a solution to a problem they already have so just know that people have run into these problems before and you should just go into the thing that you know about first and then if that leads you to a different problem and there's a solution that the CNCs you know has already come across then you can go into and dive into the other palms for example I am really interested in kubernetes and have been in that space but I think tracing is really interesting too and I want to start learning how to incorporate that into my workflow as well so show you you're also one of the diversity chairs yeah for the event you talk about kind of a diverse global nature of this community yeah we are spread across all time zone so I actually want to share an experience I have as a sake lead in kubernetes so at first I really wanted to serve all of the time zones and so we have these weekly sick meetings at 9:30 a.m. Pacific and I was like no maybe we should have like alternate meetings like alternate weekly meetings for other time zones but after talking to those the people in the other time sounds like they're very far off actually like China Asia Pacific I realize that they're actually more interested in reading notes and watching videos which is something I didn't actually know you know it's it's you think like oh you have to serve every community in the same way but what I've learned and face to face yeah base to base exactly and that's not actually how that's not how actually everybody wants to interact and so that's been an interesting thing I've learned from the diverse nature and this in the space let's see a challenges I mean we've been talking we're just that reinvent last week at Amazon obviously the number of services that they're rolling out is pretty strong there's a leader in the cloud but as multi cloud becomes the choice for most most enterprises and businesses the service requirements the baseline is got to be established seeing your community rolling out a lot of great new services but storage old storage is transferring to machine learning in AI and you got I Oh tea right around the corner new new kinds of applications yeah okay it's changing the game on the old card storage and security obviously two important areas you got to store the data data is that the card of the value proposition and then security security how are you guys dealing with that those challenges those political grounds that people are have a lot of making a lot of money in an old storage you mean ship a storage drive and here's an architecture those are being disrupted yeah I think they I mean they'll continue to be disrupted I think people are just going to bring in new and new more new and new use cases and then people will come and meet them meet those customers where they are and people just have to change I guess get used to it yeah shifter die yeah I think that some that that we are getting to that point but I can't only time will tell we'll see what are something exciting things that you see from the new developers I just recognize some friends here that I've haven't that dark wondering the community are new and they're kind of like licking their chops like wow what an excitement I could feel value and I could have a distribution I got a community and I can make money and then Dan said you know project products profits you put the product profit motive right on the table but he's clear at the same not pay to play it's okay to have profits if you have a good product for me project I buy that but the new developers like that because as an end scoreboard what are you guys doing with that new community what survived there around those kinds of opportunities you guys creating any programs for them or yeah I think just to just they can get involved you know I think knowledge is power perspective is power also so being involved helps give you a perspective to see where those gaps are and then come up with those services that are profitable or those tools that are profitable and I think this space can be very lucrative based on the number of people he sponsors I think he said he said the show was wondering if you can comment when you're building the schedule how do you balance you know all those platinum sponsors versus you know some of the you know practitioner companies that are also getting involved how do you there are there are different levels of sponsorship right like you mentioned the events team has a sponsorship section or sponsorship team and they handle most of placing sponsors and all of that and so they'll get whatever level they want but actually Kelsey and I do a lot of research and see like what's happening in the community what's interesting what's new and and we'll find time to highlight that as well which one is research what's your role in Microsoft share with the audience what are you working on what's your day-to-day job is it just foundation work are you doing coding what do you coding what's your fav is the VI MX what do you prefer yes my work is 30% community and 70% engineering I really love engineering but I also really love the community and just getting these opportunities to give back you know build skills as well learning how to speak in front of people as well these are both valuable skills to learn and it gives me an opportunity to just give back what I've learned so I appreciate those but I mostly work on developer tools that are open source that help people use containers and kubernetes a little more easily so I work on projects like Helms drafts and Brigade and these are just like things that we've seen the pain points that we've experienced and we want to kind of share our solutions with them so draft is the one I've been working on a lot have you heard of drops okay let me do the two second draft is a tool for application developers to build containerized apps without really understanding or having to understand all of what is kubernetes and containers so that's my favorite space to know you know one of the things we look at coming in here is there's that balance between there's complexity but there's flexibility you know I've heard Kelsey talking about our on when I talk to customer they're like oh I love kubernetes because I take vault and I take envoy and I take all these different things that put together and it does what I want but a lot of people are daunted and they say oh I want to I want to just go to Microsoft Azure and they'll take care of that so how do you look at that and what is the balance that we should be looking for as an industry yeah we've been emphasizing in the community a lot on plug ability across contracts it's like a theme that I think almost every project hurts and a word that you'll hear a lot I'm sure you already have heard a lot and I think that's because you can't meet everyone's needs so you build this modular component that does one thing very well and then you learn how to extend it and or you give people the ability to extend it and so that's really great for scaling a project I I do really appreciate the clouds coming out all of them with their own managed services because it's hard to operate and understand all of these things it's it takes a lot of depth in knowledge context and just prior experience and so I think that'll just make it a lot easier for people to onboard onto these technologies I was going to ask you I was going to ask so you brought up fug ability we saw you know Netflix on stage was his phenomenal of the culture yeah dynamic I think that the Schumer important conversation you know something we've been talking about silage is a real part of what we're seeing tech being a part of but the the things that popped out at me in the keynote were service mesh and pluggable architecture so I want to get your thoughts for the folks that aren't there is that in the trenches and inside the ropes what is a pluggable architecture and what is a service mesh these days because you got lyft and uber and all these great companies who have built hyper scale and large-scale systems in open source and now our big tech success stories donating these kinds of approaches pluggable architectures and service man talk a minute to explain so pluggable architectures this is why you have one layer of your stuff there's a piece of software that does something does one thing very well but you know every I like to say that every company is a snowflake and that's okay and so you may have some workflow or need that is specific to your company and so we shouldn't limit you to just what we think is the right solution to a problem we should allow you to extend or extend these pieces of software with modular components or just extensible components that that work for you does that make a little more sense yeah I work on helm and we also have a pluggable architecture because we were just getting so many requests from the community and it didn't make sense to put everything in the core code based if we did if we accepted one thing it would really just interrupt somebody else's workflow so that that's helped us a lot in in my personal experience I really like plug water it's actually that means you can go build a really kick butt app yeah nail it down to your specifications but decoupler from a core or avoiding kind the old spaghetti code mindset but kind of creating a model where it can be leveraged yeah plugin we all know plugins are but right so so that someone else could take advantage of it exactly yeah a service mesh that's evolved yeah heard a lot of that what is that yeah it's um so developers this is actually the lift story is really interesting to me so at lyft developers were really uneasy about moving from the monolith to the micro-services architecture just because they didn't early understand the network component and we're like network reliability would not be so reliable would fail and time service meshes have allowed engineers at lyft to understand where their failures happen and in terms like of a network standpoint and so you're basically abstracting with network layer and allowing more transparency into it this is like very useful for when you have lots of Micra services and you want this kind of reliability and stability awesome so one point 9s coming Spence support Windows that's what key and now a congratulations just go to the next level I mean growth talk about the growth because it's fun for us to watch you know kind of a small group core young community less than three years old really to kubernetes kind of had some traction but it really is going to be commoditized and that's not a bad thing so how do you what's your take on this what's the vibe what's that what's the current feeling inside the community right now excited pinching ourselves no I think everybody's in awe everybody is in awe and we're just like we want to make this the best experience possible in terms of an open source experience you know we want to welcome people to the community we want to serve the people's needs and we just we just want to do a good job because this is really fun and I think the people working on these problems are having a lot of fun with with seeing this kind of growth and support it's been great certainly for US president creation president and creation of this whole movement it's been fun to watch a document final question what should people expect this week what is the show going to hopefully do what's your prediction what's your purpose here what should people expect this week and the folks that didn't make it what do they miss okay there are so many things happening it's insane you're going to get a little bit of everything there's lots of different tracks lots of diverse content I think I'm when I go to conferences in my personal experience I really love technical salons those are really great because you can get your hands dirty and you can get questions answered by the people who created the project that's an experience that is is really powerful for me I went to the first open tracing salon and that's where I kind of got my hands dirty with tracing and been siegelman who's doing the keynote today this afternoon was the person who was teaching me how to like do this stuff so yeah it was awesome like some marketing fluff no it's not and it's just like it's it's real experienced very expert like experts you know in the in the space teaching you these things so that that definitely can't be replicated I think the cig sessions will be really cool there's a big focus on not just learning stuff but also collaborating and and just talking about things before they get documented so that's a really good experience here it's an action-packed schedule I tweeted that it feels like I'm you know when Burning Man had like a hundred people announced this big thing I think this is the beginning of a amazing industry people are cool they're helpful they're getting you're getting involved answering questions open-book here yeah at cloud native Punk you've got thanks Michele Farrelly been coming on co-chair senior engineer at Microsoft great to have her on the cube great keynote great color great fun exciting times here at cloud native con I'm John furry the founders look at angle media with too many men my co-hosts more live coverage after the short break
SUMMARY :
the audience what are you working on
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Michele Farrelly | PERSON | 0.99+ |
Michelle Noorali | PERSON | 0.99+ |
Luke Tucker | PERSON | 0.99+ |
Wayne | PERSON | 0.99+ |
70% | QUANTITY | 0.99+ |
Red Hat | ORGANIZATION | 0.99+ |
Linux Foundation | ORGANIZATION | 0.99+ |
Seattle | LOCATION | 0.99+ |
Dan | PERSON | 0.99+ |
30% | QUANTITY | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
uber | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
200 people | QUANTITY | 0.99+ |
Michelle | PERSON | 0.99+ |
lyft | ORGANIZATION | 0.99+ |
Austin Texas | LOCATION | 0.99+ |
last week | DATE | 0.99+ |
John ferry | PERSON | 0.99+ |
Kelsey | PERSON | 0.99+ |
Michele norelli | PERSON | 0.99+ |
Austin Texas | LOCATION | 0.99+ |
2016 | DATE | 0.99+ |
four projects | QUANTITY | 0.98+ |
stew minimun | PERSON | 0.98+ |
two stories | QUANTITY | 0.98+ |
Netflix | ORGANIZATION | 0.98+ |
less than three years old | QUANTITY | 0.98+ |
this week | DATE | 0.98+ |
November | DATE | 0.98+ |
a year ago | DATE | 0.98+ |
9:30 a.m. Pacific | DATE | 0.97+ |
this week | DATE | 0.97+ |
both | QUANTITY | 0.97+ |
70 | QUANTITY | 0.97+ |
today | DATE | 0.97+ |
Cooper Denny | PERSON | 0.96+ |
Lenox | ORGANIZATION | 0.96+ |
two important areas | QUANTITY | 0.96+ |
Helms drafts | ORGANIZATION | 0.94+ |
first | QUANTITY | 0.94+ |
14 | QUANTITY | 0.94+ |
one layer | QUANTITY | 0.93+ |
US | ORGANIZATION | 0.93+ |
first one | QUANTITY | 0.93+ |
KubeCon 2017 | EVENT | 0.91+ |
Windows | TITLE | 0.9+ |
Prometheus | TITLE | 0.9+ |
today this afternoon | DATE | 0.88+ |
one | QUANTITY | 0.88+ |
Burning Man | TITLE | 0.88+ |
John furry | PERSON | 0.87+ |
lot of people | QUANTITY | 0.87+ |
cloud native Punk | ORGANIZATION | 0.86+ |
kubernetes | ORGANIZATION | 0.86+ |
a lot of money | QUANTITY | 0.82+ |
one thing | QUANTITY | 0.81+ |
Cuban | OTHER | 0.8+ |
soku-kun | ORGANIZATION | 0.79+ |
China | LOCATION | 0.78+ |
Eddie | PERSON | 0.76+ |
Michele | PERSON | 0.75+ |
cloud native con 2017 | EVENT | 0.75+ |
Brigade | ORGANIZATION | 0.75+ |
two second draft | QUANTITY | 0.75+ |
first open tracing salon | QUANTITY | 0.73+ |
a hundred people | QUANTITY | 0.73+ |
Azure | TITLE | 0.71+ |
a minute | QUANTITY | 0.7+ |
few hundred people | QUANTITY | 0.67+ |
cloud | EVENT | 0.67+ |
native con | ORGANIZATION | 0.65+ |
CN CF | ORGANIZATION | 0.63+ |
many announcements | QUANTITY | 0.63+ |
Micra | ORGANIZATION | 0.62+ |
president | PERSON | 0.62+ |
many | QUANTITY | 0.61+ |
Connie | PERSON | 0.6+ |
JJ | ORGANIZATION | 0.59+ |
Rieger | PERSON | 0.59+ |
company | QUANTITY | 0.58+ |
coop | ORGANIZATION | 0.58+ |
Schumer | PERSON | 0.57+ |
f wando | ORGANIZATION | 0.54+ |
project | QUANTITY | 0.54+ |
cube | COMMERCIAL_ITEM | 0.52+ |
keynote | EVENT | 0.52+ |
Lou Attanasio, Nutanix | .NEXT Conference EU 2017
>> Narrator: Live from Nice, France. It's theCUBE covering .NEXT conference 2017 Europe brought to you by Nutanix. Hi, I'm Stu Miniman and this is theCUBE's coverage of Nutanix .NEXT. So there's a lot of executives from Nutanix we've had on the program many times. People who've been in job for quite a long time. So Lou Attanasio is the Chief Revenue Officer of Nutanix, and might hold the record for the shortest time in a new job before coming on theCUBE. I love it. Lou, it's like less than a week, right? It's less, five days. Five days? This is the fifth day. All right, so thank you so much for joining us. >> Lou: Nah, it's my pleasure, actually. So for our audience, give us a little bit about your background-- Sure. What brought you to Nutanix? That's a good question. The new IPO company. So I've been in the IT industry quite a long time. To give you a little history, started out actually at IBM, at their Watson Research Center in Yorktown Heights. I had a great span. I was everything from research to a systems engineer to, in sales for a long time. Had many positions, and was there for 38 years at IBM. It was a good run. My last job at IBM was the GM for their cloud software business, and I also had mainframe software reporting to me, and it was a great team. Then, you know, it was time. There was some things that, you always want to see how you could do outside IBM, outside the mothership. I still have blue in my blood, but I went to another company,, an enterprise cloud data management company, Informatica, and had an incredibly good run there. Quite frankly, I wasn't looking for a job. You can probably tell, I'm not a job hopper, and an opportunity came about. And I'll answer your second, why Nutanix. Someone reached and said, hey, a CEO of an incredible company wants to just have a conversation with you. Frankly, I said no, (Stu laughs) and I have to be real honest with you, Dheeraj was pretty persistent, and we had a meeting. It was on a Sunday, and we spent four hours together. There was something very interesting about that meeting and it really kind of got my head spinned a little bit. In the four hours, we spent probably about two and half hours talking about family, but it wasn't just biological family. He talked about his team and the employees as his family, and then, that wasn't enough, then he talked about his clients and how they were family, and once I started realizing that, that's the kind of company that I was used to, that really cared about its people, that great products don't make great companies, great people make great companies. It was instantaneous, I realized that this is a company that was pretty special. Dheeraj was very special, and that's the reason why I came. Yeah, I think back to Dheerj's first keynote at the Nutanix show in Miami, the first one. I've been at all five of the Nutanix .NEXT events, and he got up on stage and spent time, I think he called it his constituencies. There's the employees, there's the partners, customers, of course, very important, and then he said, you know, not too distant future I'll have a new constituency, kind of alluding to going public eventually, and of course, we're there. So as Chief Revenue Officer, paint us a picture as to which of these constituencies do you actually interact with and-- It would really be all. Yeah. I mean, listen, the growth path that Nutanix is on right now is incredibly steep. I've been fortunate to have some very large teams and some big responsibilities in the past, and so my job is to do two things. One is obviously continue the growth, but also make sure that the foundation upon which this growth I going is solid. You need a good foundation, you know? So that's where I'm going to be first focusing. I'm not coming in here with any preconceived notion, and I've told my team this, is that, I'm not coming in here and saying, ah, we got to change everything. They're doin' pretty damn good on their own. They don't need me to change things. But what they do need is to make sure that that growth can continue, and that we put infrastructure and things in place to continue to help with that, and that's really what I'm spending time with. So my first week has been listening to the field teams and gettin' to know them and getting them to know me, but also probably the most important is I've been listening to clients, and I've never been part of any company where I've seen more clients who have more passion for the products that Nutanix has. It surprised me, and I shouldn't have been surprised, in what was told to me, but everything that has been told to me has come to fruition. So one of the things that you talk about, change, Nutanix is making some of their own changes themselves with how they're putting together, their expanding the product line, some of the go-to market pieces. Just had a conversation with Sudheesh yesterday, had a conversation with Dheeraj on theCUBE. Talked about how the goal for Nutanix has become an iconic software company. Right. And there's been things out in the financial news talking about, okay, does Nutanix become a software only company? So if, hypothetically that happened, what does that mean from a revenue, margin, growth, sales, I mean, that has a pretty big ripple effect. Yeah but, I would say this, if you look at any of the companies, IBM, if you look at how they've changed from a hardware company to a services company and then a software company and now it's a cognitive company, every company has gone through, and you need to change. Any company that stays in one place for too long will get crushed in the environment that we have. The beautiful thing about this coming into more of a software business is that now we can give our clients choice. Clients don't want us to go in there and say, you must do it this way and you have to do it this way. The fact that we're givin' 'em choice on the hypervisor, on the ability to run on multiple hardware. If a company's already invested in company that already has a different set of hardware, and then all of a sudden we introduce a new hardware, that just puts more burden on them. So I think that the, and, by the way, as you probably know, software has some very good profit margins. Yeah. And I'm not here to tell you what those profit margins are, but history has shown that it's a good thing for a business as a whole, and I think that the strategy that the board and Dheeraj is on, I think it's the absolute right one. All right, Lou, what about scaling sales? Whether the software piece being a piece of it, but how do you look at that from a philosophical standpoint? We're at an international event here. I've been watching Nutanix since it was a couple dozen people, and now it's 2,800 people. How do you look at growing sales direct, indirect, and that piece of the business? Sure, so one of the things that I think is unique here is that all our business goes through partners, so there's no real channel conflict and I think that's a great thing. I mean, I will tell you that I think the team, the growth that they've been on and the amount of reps and technical teams and everyone they've hired over the last couple years, I tell you what, in my first five days here I could tell ya, they've done a really, really good job. My hat's off to the team. Our job is to continue that momentum, and one of the key things is going to be enablement. We got to make sure that the people we bring in here, you know, I have a saying, and I'll continue to use it. It's, average is no longer good enough. We can't be average, not to compete in the marketplace that we're in. So my job is to make sure that we bring in the very best people we can, both on the technical side, on the channel side, on the sales side, the leadership side. And fortunately, what an incredible good base that I have to work off of because a lot of 'em are already here. Yeah. When I think about the slice of money, there's the partners on the technology side, you've got the OEMs, you've got a pretty large ecosystem of software partners helping out here. You've got the channel and you've got Nutanix. How do you balance that? How do you look at growing that and keeping all those various constituencies-- The interesting thing is, for any company and for any ones that I've been part of, the number one reason why anyone loses, the number one reason why you lose is you're not there. So you need to have routes to market. No matter how big of a sales team I have, I'll never be able to have the reach, and more importantly, the relationships that some of these partners have had for some of their clients for years and years and years. So my job and our job is to take advantage of those relationships and to give them the technology to help solve some of their clients' problems. So I think we're well positioned, and I want to use all the different routes to market, no matter where we are in different parts of the world. Some I may use more of in some areas, and also, I don't believe in, you know, we're a US-based company but I don't believe in, oh, well this is the way we're going to do it, and then go out to all the different geographies and say, well this is how we're doin' it. I like to listen, because things that are done in Europe, in EMEA, are going to be very different than what we do in AP, and I really want to make sure that each of those geographies can work the system culturally and business-wise for their geography. I treat my field leaders as CEOs of their own business, and I'll give them the tools that they need to be successful. Yeah, how do you deal with the lumpiness of the business, especially, I think, dealing with certain partners? You kind of got the end of quarter, end of year that comes onto those-- Yeah, well it's interesting. I think most of the lumpiness in most businesses is due to ELAs. ELAs, I always say it's a drug. It's drug that's tough to get off of, because you can have one really big quarter and because you did a couple ELAs and then others. I have to admit, this company is not on a, not been doin' it. Our whole premise is, start small and you can go in and then you can grow. Where other companies, it's, we're going to get you into a big ELA, and then we're going to trap you into that ELA. You'll never be able to get out of it because the penalties will be so high. And then you have a customer who, frankly, they have your products but they don't really want your products, but they have to have your products. We'd rather have them want our products and grow small and then grow big, so I think right now, any company, by the way, will have some lumps here and there, and we'll get a big deal now and then and sometimes it's tough. But the growth that they're on, I anticipate bein' a little less of that, and my view is, get that steady growth, no lumps. I think that we're positioned to do that. Yeah. Any commentary on kind of, just global economic conditions? How that plays into things? I've had many conversations with Dheeraj about kind of the timing of the IPO and the challenging of it, and he was like, well, we're going to go out, so in the long it doesn't matter really whether it was a down month or quarter. Right. Up, or anything like that. But there's a lot of uncertainty in the world these days, so how does that impact your thinking? Yeah but I, you know what, there's always uncertainty now. I think the interesting part is, we're so well positioned that we can actually, even if economic businesses are down or economy's down, I think that some of the solutions that we have, in some cases provide such great value that they could save money, so I think we're in a much better position even in a down economy. So, listen, I've been in businesses we've done really well when economies are down and when the economy's up. You just got to keep the focus. You can't keep changing strategy every time you hear a news report. If you stay to your goal, you keep pushin' on the goal, you got great leadership, and that's how great businesses are done. Okay, so Lou, want to just give you the final word. Sure. You've been, I think, in learning and listening mode for a lot of it. Anything we should be looking for, that we should be looking differently from Nutanix kind of over the next six to 12 months? I would just say this, the best thing I could say is, you're going to get more of the same. That's great news. More of the same means we're going to continue the growth that we've been on. I think that you're going to see, that comment of average is no longer good enough, we want to make sure that everything that we do, we're the very best at it. I think we have some of the best programmers and development people in the world. I think that we have incredibly good visionaries. We've got people who are backing us, we've got momentum, both on the press, oh, with our customers, probably most important is our customers. And then I also, before I came here I looked at all the commentary that employees have about the company, so all the way around I couldn't be more honored to be part of this team, and I'm proud to be part of it and I hope to add value to the team moving forward. All right, well, Lou Attanasio, in addition to being new to Nutanix, you're now a CUBE alumni too. So thank you so much for joining us. Of course. Look forward to catching up with you again once you've dug in a little bit more. That sounds good, thank you very much. All right, so I'm Stu Miniman. We'll be back with lots more coverage here. You're watching theCUBE. (upbeat music)
SUMMARY :
brought to you by Nutanix. and one of the key things is going to be enablement.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Lou Attanasio | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Dheeraj | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
Nutanix | ORGANIZATION | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Dheerj | PERSON | 0.99+ |
Five days | QUANTITY | 0.99+ |
fifth day | QUANTITY | 0.99+ |
five days | QUANTITY | 0.99+ |
38 years | QUANTITY | 0.99+ |
Lou | PERSON | 0.99+ |
four hours | QUANTITY | 0.99+ |
Miami | LOCATION | 0.99+ |
less than a week | QUANTITY | 0.99+ |
2,800 people | QUANTITY | 0.99+ |
US | LOCATION | 0.99+ |
yesterday | DATE | 0.99+ |
Yorktown Heights | LOCATION | 0.99+ |
EMEA | LOCATION | 0.99+ |
CUBE | ORGANIZATION | 0.98+ |
first one | QUANTITY | 0.98+ |
first five days | QUANTITY | 0.98+ |
first | QUANTITY | 0.98+ |
Nice, France | LOCATION | 0.98+ |
Informatica | ORGANIZATION | 0.98+ |
both | QUANTITY | 0.98+ |
second | QUANTITY | 0.98+ |
One | QUANTITY | 0.98+ |
first keynote | QUANTITY | 0.97+ |
one place | QUANTITY | 0.97+ |
one | QUANTITY | 0.97+ |
five | QUANTITY | 0.97+ |
first week | QUANTITY | 0.97+ |
each | QUANTITY | 0.97+ |
Sudheesh | PERSON | 0.97+ |
two things | QUANTITY | 0.95+ |
Sunday | DATE | 0.95+ |
Nutanix | EVENT | 0.94+ |
Watson Research Center | ORGANIZATION | 0.93+ |
ELA | OTHER | 0.92+ |
ELAs | OTHER | 0.91+ |
couple dozen people | QUANTITY | 0.91+ |
tanix | ORGANIZATION | 0.91+ |
end | DATE | 0.9+ |
theCUBE | ORGANIZATION | 0.89+ |
about two and half hours | QUANTITY | 0.89+ |
end of quarter | DATE | 0.86+ |
last couple years | DATE | 0.86+ |
.NEXT Conference EU 2017 | EVENT | 0.84+ |
.NEXT | EVENT | 0.76+ |
12 months | QUANTITY | 0.72+ |
2017 | EVENT | 0.7+ |
couple | QUANTITY | 0.66+ |
AP | ORGANIZATION | 0.64+ |
Narrator | TITLE | 0.52+ |
Chief | PERSON | 0.51+ |
next six | DATE | 0.49+ |
DockerCon Day 1 Kickoff | DockerCon 2017
>> Narrator: Live from Austin, Texas, it's The Cube covering DockerCon 2017 brought to you by Docker and support from its ecosystem partners. (upbeat tech music) >> Hi, I'm Stu Miniman and this is SiliconANGLE Media's The Cube. We're the worldwide leader in enterprise tech coverage. Happy to be coming to you from DockerCon 2017 here in the Austin Convention Center of course in Austin, Texas. My host for the next few days will be Jim Kobielus, Jim thank you so much for joining us. >> It's great to join the team. >> Alright, so we'll get to you in a second, Jim, but first of all, it is the fourth year of the DockerCon show Docker The Company, just celebrated its fourth year of existence, CEO Ben Golub started off the keynote Founder, CTO, Chief Product Guy, Solomon Heights, introduced a bunch of opensource initiatives, did a bunch of demos, the first DockerCon event back in 2014, I actually had the pleasure of attending, was my favorite show of that year, I got to hear some of these HyperScale guys talk about how they were using containers, how Google spins up and spins down two billion containers in a week and there were about 400 people there and Docker, the company, was 42 people. Fast forward to where we are today in 2017, Docker, the company, I believe is 320 people, there is over 5,500 people here, you can see 'em all streaming in behind me here as the Keynote just let out, so, we've got two full days here of coverage. This morning, we're going to go through a little bit of the news, talk about who we're going to cover, but first of all, I want to introduce you to Jim Kobielus, so John Furrier sends his regards to the community, he's real sorry he couldn't make it out, just had some things came up at the last minute, so he couldn't come, but stepping in for him with lots of knowledge and experience is Jim, so Jim, please, for our audience that hasn't gotten chance to see, you did some intro videos with our crew out in our 4,500 square foot Palo Alto studio at the beginning of the month, but why don't you tell 'em what brought you to the SiliconANGLE Media team, your background, and what you're going to be doing. >> Great, yeah, thanks Stu. Yeah, I've joined just recently in the last few weeks, I am Wikibon's lead analyst for application development as well as data science and deep learning. I create data science and the development of artificial intelligence as a huge and really one of the predominant developer themes now in the business world and really much of that that's going on in business in terms of development of the AI applications is in the form of microservices in containerized format for deployment out to multiclouds and increasingly serverless computing environments. So, I am totally pumped and excited to be at DockerCon and there were some great announcements this morning, I was very impressed that this community is making great progress, both on the sheer complexity and sophistication of the ecosystem, but on just the amount of support for Docker technology, for Kubernetes and so forth for the full range of technologies that enable containerized application development. Hot stuff. >> Yeah, Jim, and you talked about things like community and ecosystem and that was definitely the theme here day one. Docker did some changing in their packaging since we were at the show last year. They now have Docker CE which is the community edition. Focus on the developers and today was developer day. I'm pretty sure everything that was announced today is opensourced, it's in there, it's in the free version. I expect tomorrow we'll probably hear more about EE, it's the Enterprise Edition >> Enterprise, yes. >> A question I know we all have is how is the monetization of what Docker's doing progressing, the press and analyst dinner last night, I heard from a Docker employee and said look, we all understand, we are the early days of the monetization of Docker, but Solomon, this morning, said really, the success of Docker the company is tied directly to the ecosystem. We've got Microsoft coming on today, we've got Sysco, Oracle, lots of partners coming on this week talk about what Docker's doing, what's happened in opensource is going to help a broad ecosystem and all, not just the developers, but enterprises and the companies, so, what are you looking at this week, what are you hoping to come out of, what grabbed you from the Keynotes this morning? >> Well, grabbing from the Keynotes this morning is the maturation of the containerized Docker ecosystem in the form of greater portability, in terms of the LinuxKit announcement, we'll get to that later, as well as great customization capabilities to the Moby project. This is just milestones in the development and maturation of a truly robust ecosystem of innovation, really, what Docker's all about now that it's a real platforms company, is helping its partners to be raving successes in this rapidly expanding marketplace, so, that's what I see, the chief themes so far of this today. >> Yeah and it's interesting, one of the things we've always looked at Docker is like what does the opensource community do, what does the company do, what's the co-opetition play? Two years ago at the show in San Francisco, there was taking the container run time and really making sure that's opensource. You had the CoreOS guys and the Docker guys hugging. I got a picture of Ben Golub and Alex Polvi standing together and it was like oh, okay, that little cold war was over. LinuxKit is something we're going to look at, they lined up some really good partners. We got Intel, Microsoft, HPE, and IBM, but, we're going to talk to Red Hat and Canonical and see what they think about this because from the Linux guys, I've been hearing for the last couple of years, well, Linux really is containers. It's all just something that sits on top and containers, of course, is the Windows variant now, too, but you just buy your Linux and Containers comes with it and now, we say oh, we've got LinuxKit which is, I'm going to have a distribution that's fast, optimized, four containers that Docker and that ecosystem they're building's going to do. >> Same as everywhere, I mean Ben Golub laid it out maybe with Solomon this morning. Containers are really the predominant packaging of applications large and small across increasingly not just traditional enterprise and consumer applications but also the internet of things, so, but internet of things and the development of AI for the IOT is a huge theme that I'm focusing on in my coverage for Wikibon. I see a fair amount of enablers for that here. >> Great, and Jim, and absolutely, there was a big slide with Docker will be where you need to be, so, whether you're in the public cloud, of course, there's container services from, we've got Amazon ECS right here. You've got what's going on with Google and their containers. Microsoft Badger of course, so, there's so many pieces, so, a lot we're going to go through, we've got a full slate of interviews, of course, everybody can watch here at SiliconANGLE TV. If you want to participate in social conversation, John Furrier's actually been banging away, it's CrowdChat.net/DockerCon is where we're having some of the social conversations, of course, you can always reach out, I'm just @Stu on Twitter, Jim is @JamesKobielus which you'll see on the lower third when we put him up here is where he is on Twitter, if you're at the Expo Hall, you'll see the Expo Hall's behind us, we're just in the corner of the Expo Hall, going to be here for two days. Jim, I want to give you the final word on our intro here, come to the end of the day, what do you hope to have walked away with? >> Well, I hope to walk away with a more rich and nuance understanding of this ecosystem and the differentiators among the dozen upon dozens of companies here. Partners of Docker. Really what I see is a huge growth of the Kubernetes segment in terms of orchestration, scaling, of cluster management for all things to do with, not just Docker, but really Container D, which, of course, Docker recently opensourced, it's core container engine. I think this is totally exciting to see just the vast range of specialty vendors in the area providing tools to help you harden your containerized microservices environment for your CloudNative computing environments, that's what I hope to take away. I'm going to walk these halls when I'm not physically on The Cube and talk to these vendors here, exciting stuff, innovation. >> Yeah, absolutely, and you gave us so many pieces there, Jim. You mentioned Kubernetes, of course. There is that little bit of do I use Dockers Forum or do I use Kubernetes? Docker, of course, would like you to use Forum, that's what they're >> And in fact, that was an excellent discussion this morning about swarms advantages as well. I don't want to make it sound like I'm totally shifting towards Kubernetes in terms of my preferences. I mean, clearly, it's a highly innovative and dynamic space, so, Docker is making some serious investments and beefing up their entire enterprise stack including Swarm. >> Where I wanted to go, actually, with that is the Moby project actually is one of those things I saw as a nice maturation of what we hear from Docker. For the first couple of years, Docker said batteries are included but swapable, which means things like Swarm are going to make it in there, but you could use an alternative, so you want to use Kubernetes, go ahead and that's fine and Moby has allowed them to take all the components that are opensource. People inside Docker can work on them, people outside can collaborate them, much more modular. Reminds me of how when we talk about how development teams work, it's those two pizza teams, Docker has them internal, they're pulling more people in, how is that opensource collaboration going to expand? Scalability, I think, is the word that I heard over and over again in the Keynote. Scaling of the company, scaling of the products, scaling of the ecosystem, so something more interesting, say, we've been scaling our operations and we got two full days here of coverage so make sure to stay with The Cube for everything we've got here and thank you for watching The Cube. (upbeat tech music)
SUMMARY :
brought to you by Docker and support here in the Austin Convention Center and Docker, the company, was 42 people. of the ecosystem, but on just Focus on the developers and today was developer day. and the companies, so, what are you in the form of greater portability, and containers, of course, is the Windows variant now, too, the development of AI for the IOT the social conversations, of course, of the Kubernetes segment in terms Docker, of course, would like you to use Forum, And in fact, that was an Scaling of the company, scaling of the products,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jim Kobielus | PERSON | 0.99+ |
Alex Polvi | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Jim | PERSON | 0.99+ |
Ben Golub | PERSON | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
HPE | ORGANIZATION | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Intel | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Solomon | PERSON | 0.99+ |
Sysco | ORGANIZATION | 0.99+ |
Canonical | ORGANIZATION | 0.99+ |
two days | QUANTITY | 0.99+ |
2014 | DATE | 0.99+ |
last year | DATE | 0.99+ |
Docker | ORGANIZATION | 0.99+ |
Austin, Texas | LOCATION | 0.99+ |
fourth year | QUANTITY | 0.99+ |
@JamesKobielus | PERSON | 0.99+ |
2017 | DATE | 0.99+ |
tomorrow | DATE | 0.99+ |
ORGANIZATION | 0.99+ | |
DockerCon | EVENT | 0.99+ |
two full days | QUANTITY | 0.99+ |
Palo Alto | LOCATION | 0.99+ |
42 people | QUANTITY | 0.99+ |
4,500 square foot | QUANTITY | 0.99+ |
this week | DATE | 0.99+ |
DockerCon 2017 | EVENT | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Two years ago | DATE | 0.99+ |
Linux | TITLE | 0.98+ |
today | DATE | 0.98+ |
over 5,500 people | QUANTITY | 0.98+ |
last night | DATE | 0.98+ |
SiliconANGLE Media | ORGANIZATION | 0.98+ |
320 people | QUANTITY | 0.98+ |
Stu | PERSON | 0.98+ |
about 400 people | QUANTITY | 0.97+ |
Austin Convention Center | LOCATION | 0.97+ |
Moby | ORGANIZATION | 0.97+ |
This morning | DATE | 0.97+ |
first | QUANTITY | 0.97+ |
Kubernetes | TITLE | 0.97+ |
this morning | DATE | 0.96+ |
one | QUANTITY | 0.96+ |
Red Hat | ORGANIZATION | 0.96+ |
Expo Hall | LOCATION | 0.96+ |
two billion containers | QUANTITY | 0.95+ |
Swarm | ORGANIZATION | 0.94+ |
Sean Hester | Flink Forward 2017
>> Welcome back. We're at Flink Forward, the user conference for the Flink community, put on by data Artisans, the creators of Flink. We're on the ground at the Kabuki Hotel in Pacific Heights in San Francisco. And we have another special guest from BetterCloud, which is a management company. We have Sean Hester, Director of Engineering. And Sean, why don't you tell us, what brings you to Flink Forward? Give us some context for that. >> Sure, sure. So a little over a year ago we kind of started restructuring our application. We had a spike in our vision, we wanted to go a little bit bigger. And at that point we had done some things that were suboptimal, let's say, as far as our approach to the way we were generating operational intelligence. So we wanted to move to a streaming platform. We looked at a few different options and after pretty much a bake-off, Flink came out on top for us. And we've been using it ever since. It's been in production for us for about six months. We love it, we're big fans, we love their roadmap, so that's why we're here. >> Okay, so let's unpack that a little more. In the bake-off, what were the... So your use case is management. But within that bake-off, what were the criteria that surfaced as the highest priority? >> So for us we knew we wanted to be working with something that was kind of the latest generation of streaming technology. Something that had basically addressed all of the Google MillWheel paper, big problems, things like managing back pressure, how do you manage a checkpoint and restoring of state in a distributed streaming application? Things that we had no interest in writing ourselves after digging into the problem a little bit. So we wanted a solution that would solve those problems for us, and this seemed like it had a really solid community behind it. And again, Flink came off on top. >> Okay, so now, understanding sort of why you chose Flink, help us understand BetterCloud's service. What do you offer customers and how do you see that evolving over time? >> Sure, sure. So you've been calling us a management company, so we provide tooling for IT admins to manage their SAS applications. So things like the Google Suite, or Zendesk, or Slack. And we give them kind of that single point of entry, the single pane of glass to see everything, see all their users in one place, what applications are provisioned to which users, et cetera. And so we literally go to the APIs of each of our partners that we provide support for, gather data, and from there it starts flowing through the stream as a set of change events, basically. Hey, this user's had a title update or a manager update. Is that meaningful for us in some way? Do we want to run a particular work flow based on that event, or is that something that we need to take into account for a particular operational intelligence? >> Okay, so you dropped in there something really concrete. A change event for the role of an employee. That's a very application-specific piece of telemetry that's coming out of an app. Very different from saying, well, what's my CPU utilization, which'll be the same across all platforms. >> Correct. >> So how do you account for... applications that might have employees in one SAS app and also employees in a completely different SAS app, and they emit telemetry or events that mean different things? How do you bridge that? >> Exactly. So we have a set of teams that's dedicated to just the role of getting data from the SAS applications and emitting them into the overall BetterCloud system. After that there's another set of teams that's basically dedicated to providing that central, canonical view of a user or group or a... An asset, a document, et cetera. So all of those disparate models that might come in from any given SAS app get normalized by that team into what we call our canonical model. And that's what flows downstream to teams that I lead to have operational intelligence run on them. >> Okay, so just to be clear, for our mainstream customers who aren't rocket scientists like you-- (laughs) When they want to make sense of this, what you're telling them is they don't have to be locked into the management solution that comes from a cloud vendor where they're going to harmonize all their telemetry and their management solutions to work seamlessly across their services and the third party services that are on that platform. What you're saying is you're putting that commonality across apps that you support on different clouds. >> Yes, exactly. We provide kind of the glue, or the homogenization necessary to make that possible. >> Now this may sound arcane, but being able to put in place that commonality implies that there is overlap, complete overlap, for that information, for how to take into account and manage an employee onboarding here and one over there. What happens when, in applications, unlike in the hardware where it's obviously the same no matter what you're doing, what happens in applications where you can't find a full overlap? >> Well, it's never a full overlap. But there is typically a very core set of properties for a user account, for example, that we can work with regardless of what SAS application we might be integrating with. But we do have special areas, like metadata areas, within our events that are dedicated to the original data fresh from the SAS application's API, and we can do one-off operations specifically on that SAS app data. But yeah, in general there's a lot of commonality between the way people model a user account or a distribution group or a document. >> Okay, interesting. And so the role of streaming technology here is to get those events to you really quickly and then for you to apply your rules to identify a root cause or even to remediate either with advising a person, an administrator, or automatically. >> Yes, exactly. >> And plans for adding machine learning to this going forward? >> Absolutely, yeah. So one of our big asks, we started casting this vision in front of some of our core customers, was basically I don't know what normal is. You figure out what normal is and then let me know when something abnormal happens. Which is a perfect use case for machine learning. So we definitely want to get there. >> Running steady state, learning the steady state, then finding anomalies. >> Exactly, exactly. >> Interesting, okay. >> Not there yet but it's definitely on our roadmap. >> And then what about management companies that might say, we're just going to target workloads of this variety, like a big data workload, where we're going to take Kafka, Spark, Hive, and maybe something that predicts and serves, and we're just going to manage that. What trade-off to they get to make that are different from what you get to make? >> I'm not sure I quite understand the question you're getting at. >> If there's where they can narrow the scope of the processes they're going to model, or the workloads they're going to model, where it's, say, just big data workloads and there's going to be some batch interactive stuff and they are only going to cover a certain number of products because those are the only ones that fit into that type of workload. >> Oh I gotcha, gotcha. So we kind of designed our roadmap from the get-go knowing that one of our competitive advantages were going to be how quickly can we support additional SAS applications? So we've actually baked into most of our architecture, stuff that's very configuration-driven, let's say, versus hard coded, so that allows us to very quickly kind of onboard new SAS apps. So I think that winds up, the value of being able to manage and provision, run workloads against the 20 different SAS apps that an admin in a modern workplace might be working with is just so valuable that I think that's going to win the day eventually. >> Single pane of glass, not at the infrastructure level, but at the application level. >> Exactly, exactly. >> Okay. All right, we've been with Sean Hester of BetterCloud, and we will be right back. We're at the Flink Forward event, sponsored by data Artisans for the Flink user community. The first ever conference in the US for the Flink community. And we'll be back shortly. (electronic music)
SUMMARY :
And we have another special guest from BetterCloud, And at that point we had done some things that surfaced as the highest priority? So for us we knew we wanted to be working with and how do you see that evolving over time? based on that event, or is that something that we need to A change event for the role of an employee. So how do you account for... So we have a set of teams that's dedicated and the third party services that are on that platform. We provide kind of the glue, or the homogenization for that information, for how to take into account and we can do one-off operations And so the role of streaming technology here So one of our big asks, we started casting this vision Running steady state, learning the steady state, that are different from what you get to make? the question you're getting at. of the processes they're going to model, that I think that's going to win the day eventually. but at the application level. and we will be right back.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Sean | PERSON | 0.99+ |
Sean Hester | PERSON | 0.99+ |
US | LOCATION | 0.99+ |
Flink | ORGANIZATION | 0.99+ |
BetterCloud | ORGANIZATION | 0.99+ |
Flink Forward | EVENT | 0.99+ |
SAS | TITLE | 0.99+ |
Pacific Heights | LOCATION | 0.98+ |
one | QUANTITY | 0.97+ |
about six months | QUANTITY | 0.97+ |
one place | QUANTITY | 0.96+ |
ORGANIZATION | 0.95+ | |
Suite | TITLE | 0.94+ |
Single pane | QUANTITY | 0.91+ |
San Francisco | LOCATION | 0.91+ |
each | QUANTITY | 0.9+ |
single point | QUANTITY | 0.87+ |
Spark | TITLE | 0.86+ |
Zendesk | ORGANIZATION | 0.83+ |
a year ago | DATE | 0.8+ |
Hive | TITLE | 0.8+ |
Flink Forward 2017 | EVENT | 0.79+ |
Kafka | TITLE | 0.79+ |
Flink Forward | ORGANIZATION | 0.75+ |
over | DATE | 0.75+ |
MillWheel | COMMERCIAL_ITEM | 0.71+ |
first ever | QUANTITY | 0.71+ |
Kabuki Hotel | LOCATION | 0.71+ |
20 different | QUANTITY | 0.71+ |
single pane | QUANTITY | 0.71+ |
apps | QUANTITY | 0.61+ |
Slack | TITLE | 0.59+ |
BetterCloud | TITLE | 0.52+ |
Chinmay Soman | Flink Forward 2017
>> Welcome back, everyone. We are on the ground at the data Artisans user conference for Flink. It's called Flink Forward. We are at the Kabuki Hotel in lower Pacific Heights in San Francisco. The conference kicked off this morning with some great talks by Uber and Netflix. We have the privilege of having with us Chinmay Soman from Uber. >> Yes. >> Welcome, Chinmay, it's good to have you. >> Thank you. >> You gave a really, really interesting presentation about the pipelines you're building and where Flink fits, but you've also said there's a large deployment of Spark. Help us understand how Flink became a mainstream technology for you, where it fits, and why you chose it. >> Sure. About one year back, when we were starting to evaluate what technology makes sense for the problem space that we are trying to solve, which is neural dynamics. We observed that Spark's theme processing is actually more resource intensive then some of the other technologies we benchmarked. More specifically, it was using more memory and CPU, at that time. That's one... I actually came from the Apache Samza world. It wasn't the same LinkedIn team before I came to Uber. We had in-house expertise on Samza and I think the reliability was the key motivation for choosing Samza. So we started building on top of Apache Samza for almost the last one and a half years. But then, we hit the scale where Samza, we felt, was lacking. So with Samza, it's actually tied into Kafka a lot. You need to make sure your Kafka scales in order for the stream processing to scale. >> In other words, the topics and the partitions of those topics, you have to keep the physical layout of those in mind at the message cue level, in line with the stream processing. >> That's right. The paralysm is actually tied into a number of partitions in Kafka. Further more, if you have a multi-stage pipeline, where one stage processes data and sends output to another stage, all these intermediate stages, today, again go back to Kafka. So if you want to do a lot of these use cases, you actually end up creating a lot of Kafka topics and the I/O overhead on a cluster shoots up exponentially. >> So when creating topics, or creating consumers that do something and then output to producers, if you do too many of those things, you defeat the purpose of low-latency because you're storing everything. >> Yeah. The credit of it is, it is more robust because if you suddenly get a spike in your traffic, your system is going to handle it because Kafka buffers that spike. It gives you a very reliable platform, but it's not cheap. So that's why we're looking at Flink, In Flink, you can actually build a multi-stage pipeline and have in-memory cues instead of writing back to Kafka, so it is fast and you don't have to create multiple topics per pipeline. >> So, let me unpack that just a little bit to be clearer. The in-memory cues give you, obviously, better I/O. >> Yes. >> And if I understand correctly, that can absorb some of the backpressure? >> Yeah, so backpressure is interesting. If you have everything in Kafka and no in-memory cues, there is no backpressure because Kafka is a big buffer, it just keeps running. With in-memory cues, there is backpressure. Another question is, how do you handle this? So going back to Samza systems, they actually degrade and can't recover once they are in backpressure. But Flink, as you've seen, it slows down consuming from Kafka, but once the spike is over, once you're over that hill, it actually recovers quickly. It is able to sustain heavy spikes. >> Okay, so this goes to your issues with keeping up with the growth of data... >> That's right. >> You know, the system, there's multiple leaves of elasticity and then resource intensity. Tell us about that end and the desire to get as many jobs as possible out of a certain level of resource. >> So, today, we are a platform where people come in and say, "Here's my code." Or, "Here's my SQL that I want to run on your platform." In the old days, they were telling us, "Oh, I need 10 gigabytes for a container," and this they need these many CPUs and that really limited how many use cases we onboarded and made our hardware footprint pretty expensive. So we need the pipeline, the infrastructure, to be really memory efficient. What we have seen is memory is the bottle link in our world, more so than CPU. A lot of applications, they consume from Kafka, they actually buffer locally in each container and then they do that in the local memory, in the JVM memory. So we need the memory component to be very efficient and we can pack more jobs on the same cluster if everyone is using lesser memory. That's one motivation. The other thing, for example, that Flink does and Samza also does, is make use of a RocksDB store, which is a local persistent-- >> Oh, that's where it gets the state management. >> That's right, so you can offload from memory on to the disk-- >> Into a proper database. >> Into a proper database and you don't have to cross a network to do that because it's sitting locally. >> Just to elaborate on what might be, what might seem like, a arcane topic, if it's residing locally, than anything it's going to join with has to also be residing locally. >> Yeah, that's a good point. You have to be able to partition your inputs and your state in the same way, otherwise there's no locality. >> Okay, and you'd have to shuffle stuff around the network. >> And more than that, you'd need to be able to recover if something happens because there's no replication for this state. If the hard disk on that DR node crashes, you need to recreate that cache from somewhere. So either you go back and read from Kafka, or you store that cache somewhere. So Flink actually supports this out of the box and it snapshots the RocksDB state into HTFS. >> Got it, okay. It's more resilient--- >> Yes. >> And more resource efficient. So, let me ask one last question. Main stream enterprises, they, or at least the very largest ones, have been trying to wrestle their arms around some opensource projects. Very innovative, the pace of innovation is huge, but it demands a skillset that seems to be most resident in large consumer internet companies. What advice do you have for them where they aspire to use the same technologies that you're talking about to build new systems, but they might not have the skills. >> Right, that's a very good question. I'll try to answer in the way that I can. I think the first thing to do is understand your scale. Even if you're a big, large banking corporation, you need to understand where you fit in the industry ecosystem. If it turns out that your scale isn't that big and you're using it for internal analytics, then you can just pick the off-the-shelf pipelines and make it work. For example, if you don't care about multi-tendency, if your hardware span is not that much, actually anything might actually work. The real challenge is when you pick a technology and make it work for a large use cases and you want to optimize for cost. That's where you need a huge engineering organization. So in simpler words, if your use cases extent is not that big, pick something which has a lot of support from the community. Most more common things just work out-of-the-box, and that's good enough. But if you're doing a lot of complicated things, like real-time machine running, or your scale is in billions of messages per day, or terabytes of data per day, then you really need to make a choice: Whether you invest in an engineering organization that can really understand these use cases; or you go to companies like Databricks. Get a support from Databricks, or... >> Or maybe a cloud vendor? >> Or a cloud vendor, or things like Confluent which is giving Kafka support, things like that. I don't think there is one answer. To me, our use case, for example, the reason we chose to build an engineering organization around that is because our use cases are immensely complicated and not really seen before, so we had to invest in this technology. >> Alright, Chinmay, we're going to leave it on that and hopefully keep the dialogue going-- >> Sure. >> offline. So, we'll be back shortly. We're at Flink Forward, the data Artisans user conference for Flink. We're on the ground at the Kabuki Hotel in downtown San Francisco and we'll be right back.
SUMMARY :
We have the privilege of having with us where it fits, and why you chose it. in order for the stream processing to scale. you have to keep the physical layout of those So if you want to do a lot of these use cases, that do something and then output to producers, and you don't have to create The in-memory cues give you, obviously, better I/O. but once the spike is over, once you're over that hill, Okay, so this goes to your issues with You know, the system, there's multiple leaves and that really limited how many use cases we onboarded Into a proper database and you don't have to going to join with has to also be residing locally. You have to be able to partition Okay, and you'd have to shuffle stuff and it snapshots the RocksDB state into HTFS. It's more resilient--- but it demands a skillset that seems to be and you want to optimize for cost. the reason we chose to build We're on the ground at the Kabuki Hotel
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Databricks | ORGANIZATION | 0.99+ |
Uber | ORGANIZATION | 0.99+ |
Netflix | ORGANIZATION | 0.99+ |
Chinmay | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
Chinmay Soman | PERSON | 0.99+ |
Kafka | TITLE | 0.99+ |
Confluent | ORGANIZATION | 0.99+ |
Flink | ORGANIZATION | 0.99+ |
10 gigabytes | QUANTITY | 0.99+ |
each container | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.98+ |
today | DATE | 0.98+ |
one answer | QUANTITY | 0.98+ |
Apache | ORGANIZATION | 0.98+ |
2017 | DATE | 0.97+ |
one last question | QUANTITY | 0.95+ |
first thing | QUANTITY | 0.95+ |
Spark | TITLE | 0.93+ |
Pacific Heights | LOCATION | 0.91+ |
this morning | DATE | 0.86+ |
Kabuki Hotel | LOCATION | 0.85+ |
RocksDB | TITLE | 0.83+ |
About one year back | DATE | 0.82+ |
terabytes of data | QUANTITY | 0.82+ |
one motivation | QUANTITY | 0.8+ |
SQL | TITLE | 0.8+ |
Forward | EVENT | 0.78+ |
Samza | ORGANIZATION | 0.74+ |
Samza | TITLE | 0.73+ |
one stage | QUANTITY | 0.73+ |
billions of messages per day | QUANTITY | 0.72+ |
Artisans | EVENT | 0.7+ |
last one and a half years | DATE | 0.69+ |
Artisans user | EVENT | 0.62+ |
Samza | COMMERCIAL_ITEM | 0.34+ |