>>The cube presents HPE discover 2022 brought to you by HPE. >>Hello, everybody. Welcome to day three of the Cube's coverage of HPE discover 2022 we're live from Las Vegas and the Venetian convention center. This is I, I counted him up. I think this is the 14th HP HP slash HPE. Discover that we've done really excited to welcome in Alexia Clements. She's the vice president of go to market for HPE GreenLake cloud services. That's all the rage everybody's talking about. Green, all the wood behind the arrow, as the saying goes, welcome to the queue. Good to see >>You. Thank you so much for having me thrilled to be here. >>You walk up Janet Jackson last night, >>Epic. Wow. She killed it. She was awesome. >>I thought the band was super tight, but the other thing was the place was >>Packed. It was >>Nice. You know, what happens is a lot of time they put the band in the getaway day, you know, and nobody stays, but wow, the, the hall was jammed. >>It was great. It was, you could feel the momentum and the excitement. And it was just a great way to, to kind of end the, the HP discover. So it was great. >>Yeah. I mean, I, I mentioned that we've been to a lot of HP slash HPE discovers and, and this one was different in the sense that I think first of all, 8,000 people, yep. People are excited to get back together, but I think, you know, HPE has a spring in its step and the customers are kind of interested. It's much more focused than some of the past HPE discoverers, which was kind of hard to get my hands around. Sometimes the business was sort of an Antonio's pulled that together. So what's changed since the last time we were face to face. >>We're transforming and hope you all saw that on the, on the floor here. So, um, we're absolutely trans going through a transformation and, you know, I, I think we're, you know, we're shifting to an edge to cloud platform company. And with that, it's, it's how we approach our customers differently and our partners and, you know, we're hoping that, uh, we showed this week and that, that we're different and we're transforming. >>So how do you spend your time Mo mostly in front of customers having conversations about what, what their needs are and aligning is that right? >>Yeah. So, um, I, I lead the, the go to market for GreenLake. So that's everything around how we're driving our as a service go to market strategy, how we're driving programs, enablement, how we're really in the end, how we're executing on that as a service strategy from a sales perspective. >>So what do you hear? Of course, a lot of that involves partners. Yep. Right. I mean, that's kind of the route to market. Absolutely. The HPE prefers for obvious reasons, although others don't necessarily share that, but, but, so what are you hearing from the partner ecosystem and the customers that their biggest challenges are now that we're entering the let's call it the post isolation economy? <laugh> >>Yeah. I mean, the reality is, is digital transformations are hard and I think some customers, um, who haven't necessarily moved forward on it or, you know, maybe they move forward and they're realizing, Hey, I'm stuck and I'm not, I'm not getting to where I wanna be and really, you know, driving that end state. So, I mean, I, I would just say overall, I think things are like, customers are, are struggling if they didn't, you know, they're falling behind a little bit. And I think through the conversations that we're having and through HP green, like it gives customers choice. And so really, um, I mean, what, you know, I spend my time with, and, and when we're talking to customers and partners, it's about helping customers on that digital transformation journey and understanding what are they trying to drive? What business outcomes are they trying to drive and how we can help them get there. So >>I, I often call it the force March to digital yep. With the pandemic. Um, and, and I, I was looking at a survey recently, I think it was put on by couch base. And it was probably on a thousand respondents and it was a CIO survey and they asked who's, who's responsible for the digital transformation at the organization and overwhelmingly it was the it organization. And I said, uhoh, that's the problem now. But it made sense to me because when the economy shut down, everybody went to it and said help, right. Make this work somehow. Right. But, but what, that doesn't seem to me to be the right prescription for a successful digital transformation. Do you agree with that? And what do you see as a successful template for DX? >>Well, I think what, what we see is that really the lines of business are desperate to move fast and they're really looking for their it partners to help them in that journey and, and, and drive, you know, whether it be, you know, drive them, you know, drive orders, drive, you know, they need it to help them in that journey. And so really it's gotta be a partnership between the two organizations. And what we're trying to do with HP GreenLake is kind of abstract that almost. So, Hey, we're gonna give it to you in an, as a service and you're gonna get all of these components. And all you have to think about is where do I need to grow and what are the outcomes that I'm looking for? So that's what it's gotta be. There's gotta be tight alignment, I think between the lines of business and it, and sometimes those two don't know how to talk to each other. >>Mm-hmm <affirmative> so that's another way of, of really trying to speak to the business leaders and say, what are you trying to do? Where do you need to go? And what do you need to get? And, and a lot of times they don't even know what they need to get there. So that's where we need to have those different conversations with our customers to, and that's where we look for our partners to help us in that. So really having those different conversations to progress, um, what, you know, what customers are really looking to, to drive, >>How, how does GreenLake specifically accelerate that transformation? Where does it fit? Maybe you can kind of take us through, you know, a, a generic example of how that works. >>Yeah. I mean, a great example is, you know, especially with the pandemic is desktop, Hey, you now need to, you know, everybody's working from different locations. So, you know, desktop as a service VDI as a service, and, you know, you're putting it in a, you know, per whatever, you know, per you can, whatever variable pricing you want, but think about it, you have that one pay as you go. And so the it organization, all they have to think about is that's my, you know, per, per unit price there. So that's a great example of how we saw, like, especially during the pandemic, that was something that was, you know, a huge area of focus organizations. What's >>The spectrum that you see in terms of, you know, the maturity model, if you will, a digital transformation. I mean, if you weren't in a digital business during the pandemic, you were pretty much out of business. Yeah. And with very few exceptions. Um, and so, okay. So on the one end, you have folks that sort of were forced into it. You, my forced March scenario, others were actually moving quite a bit along before the pandemic, others were kind of given at lip service and maybe doing a few projects. What do you see as that spectrum? >>I think if you're not transforming, you're falling behind. And so everybody needs to be, you know, looking to the future and understanding, you know, really trying to get aggressive on that. And that's what we're seeing. We're seeing companies who, you know, aren't moving fast on that or falling behind. >>Do you see a bifurcation? I'm sure you do those that say, yeah, I want as a service and others that say, look, I I'm really well capitalized. I'm gonna gimme the, gimme the CapEx. I'm gonna put it in and run it myself. And is there a relationship between that approach and their digital transformation maturity, or is it kind of just really their preference? >>I, I mean, for us, we're meeting customers where they're at on their journey and their multi-cloud journey. So some, and, and what I'm seeing is that every customer today has multiple clouds, whether that be their, you know, their kind of, MultiGen it, the, the legacy stuff that they've gotta deal with. They've got stuff in public clouds, and they're trying to really transform and figure out how do I work all of that in like, how do I move forward with that new operating model? And so what I'm seeing is, you know, we're gonna meet customers where they're at on their journey. So some are gonna continue to go down that path in a, how they've always purchased their it. And others are really, you know, more often than not, we're seeing, they want that as a service cloudlike to have all the benefits of cloud, but yet still have it on their prem or in a colo or, you know, at the edge. So I do see some of those customers who are thinking differently, right. That, and they're the ones that are more apt to be a little bit more aggressive on their digital transformation. They're, they're open to the possibility if that makes sense. No, >>It does. It makes total sense. I, I, I think, you know, on the one hand they're a lot of customers are trying to build their own cloud. Yep. Um, so you mention multicloud, I'm not gonna go to Amazon to help me with my multicloud strategy. That's not, that's not gonna be my preferr. Yeah. I might talk to Microsoft about it a little bit. Google's got Antos and that's kind of interesting, but you know, Google's not enterprise, they got good data, but so, but there are other choices out there. Why HPE for my cloud hybrid multi-cloud strategy, give us the >>Sticker. It's, it's the best of both worlds for customers. So it enables them to have the security. It enables them to grow, to, to be in their data centers or in colos at the edge. It allows them to not over provision. It allows them to pay as they go and pay as they grow there's. Um, and then it also really is that ease factor. So it it's that thinking about it as I have, I already, I know what my pricing is. I know what that predictability is from a pricing perspective and what my costs are gonna be. So all of those things really re that all those messages resonate with customers, >>Right? L thanks so much for coming on. We got the trains are backing up super tight schedule today. This is wall to wall coverage of HPE. Discover. Thank you. Thank >>You so much for having me appreciate it. >>You're SU very welcome. All right. Keep it right there. Dave ante is here. John furrier, HPE discover 2022 from Las Vegas. We're live. We'll be right back.

>>And welcome to the cubes coverage of Couchbase connect online, Mary Roth, VP of engineering operations with couch basis here for Couchbase connect online. Mary. Great to see you. Thanks for coming on remotely for this segment. >>Thank you very much. It's great to be here. >>Love the fire in the background, a little fireside chat here, kind of happening, but I want to get into shooting, you know, engineering and operations with the pandemic has really kind of shown that, you know, engineers and developers have been good working remotely for a while, but for the most part it's impacted companies in general, across the organizations. How did the Couchbase engineering team adapt to the remote work? >>Uh, great question. Um, and I actually think the Couchbase team responded very well to this new model of working imposed by the pandemic. And I have a unique perspective on the couch space journey. I joined in February, 2020 after 20 plus years at IBM, which had embraced a hybrid in-office rewrote remote work model many years earlier. So in my IBM career, I live four minutes away from my research lab in almond and valley, but IBM is a global company with headquarters on the east coast and SU. So throughout my career, I often found myself on phone calls with people around the globe at 5:00 AM in the morning, I quickly learned and quickly adopted to a hybrid model. I'd go into the office to collaborate and have in-person meetings when needed. But if I was on the phone at >> 5: 00 AM in the morning, um, I didn't feel the need to get up at 4:30 AM to go in. >>I just worked from home and I discovered I could be more productive. They're doing think time work. And I really only needed the in-person time for collaboration. These hybrid model allowed me to have a great career at IBM and raise my two daughters at the same time. So when I joined Couchbase I joined a company that was all about being in-person and instead of a four minute commute, it was going to be an hour or more commute for me each way. This was going to be a really big transition for me, but I was excited enough by couch facing what it offered that I decided to give it a try. Well, that was February, 2020. I showed up early in the morning on March 10th, 2020 for an early morning meeting in person only to learn that I was one of the only few people that didn't get the memo. >>We were switching to a remote remote working model. And so over the last year, I have had the ability to watch cow's face and other companies pivot to make this remote working model possible and not only possible, but effective. And I'm really happy to see the results. Our remote work model does have its challenges that's for sure, but it also has its benefits better work-life balance and more time to interact with family members during the day and more quiet time, just to think we just did a retrospective on a major product release Couchbase server 7.0 that we did over the past 18 months. And one of the major insights by the leadership team is that working from home actually made people more effective. I don't think a full remote model is the right approach going forward, but a hybrid model that IBM adopted many years ago and that I was able to participate in for most of my career, I believe is a healthier and more productive approach. >>Well, great story. I love the, um, the, uh, you come back and now you take leverage all the best practices from the IBM days, but how did the, your team and the Couchbase engineering team react and were there any best practices or key learnings that you guys pulled out of that, >>Uh, the, the initial reaction was not good. I mean, as I mentioned, it was a culture based on in-person people had to be in person in person meetings. So it took a while to get used to it, but the, there was a forcing function, right? We had to work remotely. That was the only option. And so people made it work. I think the advancement of virtual meeting technology really, really helps a lot over earlier days in my career where I had just bad phone connections, that was very difficult. But with the virtual meetings that you have, where you can actually see people and interact, I think is really quite helpful. >>What's the DNA of the culture. What's the DNA. Every company's got the DNA entails Moore's law. Um, and at what's the engineering culture at Couchbase like if you could describe it. >>Uh, the engineering culture at Couchbase is very familiar to me. We are at our heart, a database company, and I grew up in the database world, which has a very unique culture based on two values, merit and mentorship. And we also focus on something that I like to call growing. The next generation. Now database technology started in the late sixties, early seventies with a few key players and institutions. These key players were extremely bright and they tackle it and solve really hard problems with elegant solutions long before anybody knew they were going to be necessary. Now, those original key players, people like Jim gray, Bruce Lindsey, Don Chamberlin, pat Salinger, David Dewitt, Michael Stonebraker. They just love solving hard problems. And they wanted to share that elegance with a new generation. And so they really focused on growing the next generation of leaders, which became the Mike caries and the Mohans and the lower houses of the world. And that culture grew over multiple generations with the previous generation cultivating, challenging and advocating for the next, I was really lucky to grow up in that culture. And I've advanced my career as a result, as being part of it. The reason I joined Couchbase is because I see that culture alive and well, here are two fundamental values on the engineering side, our merit and mentorship. >>One of the things I want to get your thoughts on, on the database questions. I remember, you know, back in the old glory days, you mentioned some of those luminaries, you know, there wasn't many database geeks out there, Zuri kind of small community now is databases are everywhere. So you see there's no one database that's ruling the world, but you starting to see a pattern of database kinds of things, and more emerging, more databases than ever before. They're on the internet, they're on the cloud. There are none the edge it's essentially we're living in a large distributed computing environment. So now it's cool to be in databases cause they're everywhere. So, I mean, this is kind of where we're at. What's your reaction to that? >>Uh, you're absolutely right there. There used to be a, a few small vendors and a few key technologies and it's grown over the years, but the fundamental problems are the same data, integrity, performance and scalability. And in the face of district distributed systems, those were all the hard problems that those key leaders solve back in the sixties and seventies. They're not, they're not new problems. They're still there. And they did a lot of the fundamental work that you can apply and reapply in different scenarios and situations. >>It's pretty exciting. I love that. I love the different architectures that are emerging and allows for more creativity for application developers. And this becomes like the key thing we're seeing right now, driving the business and a big conversation here at the, at the event is the powering, these modern applications that need low latency. There's no more, not many spinning disks anymore. It's all in Ram, all these kinds of different memory, you got decentralization and all kinds of new constructs. How do you make sense of it all? How do you talk to customers? What's the, what's the, what's the main core thing happening right now? If you had to describe it? >>Yeah, it depends on the type of customer you're talking to. Um, we have focused primarily on the enterprise market and in that market, there are really fundamental issues. Information for, for these enterprises is key. It's their core asset that they have and they understand very well that they need to protect it and make it available more quickly. I started as a DBA at Morgan Stanley back, um, right out of college. And at the time I think it was, it probably still is, but at the time it was the best run it shop that I'd ever seen in my life. The fundamental problems that we had to solve to get information from one stock exchange to another, to get it to the sec, um, are the same problems that we're solving today. Back then we were working on mainframes and over high-speed data comm links today, it's the same kind of problem. It's just the underlying infrastructure has changed. >>You know, the key has been a big supporter of women in tech. We've done thousands of interviews on why I got you. I want to ask you, uh, if you don't mind, um, career advice that you give women who are starting out in the field of engineering, computer science, what do you wish you knew when you started your career? And you could be that person now, what would you say? >>Yeah, well, there are a lot of things I wish I knew then, uh, that I know now, but I think there are two key aspects to a successful career in engineering. I actually got started as a math major and the reason I, I became a math major is a little convoluted. Is it as a girl, I was told we were bad at math. And so for some reason I decided that I had to major in it. That's actually how I got my start. Um, but I've had a great career and I think there are really two key aspects first. And is that it is a discipline in which respect is gained through merit. As I had mentioned earlier, engineers are notoriously detail oriented and most of our perfectionist, they love elegant, well thought out solutions and give respect when they see one. So understanding this can be a very important advantage if you're always prepared and you always bring your a game to every debate, every presentation, every conversation you have build up respect among your team, simply through merit. While that may mean that you need to be prepared to defend every point early on say, in your graduate career or when you're starting over time, others will learn to trust your judgment and begin to intuitively follow your lead just by reputation. The reverse is also true. If you don't bring your a game and you don't come prepared to debate, you will quickly lose respect. And that's particularly true if you're a woman. So if you don't know your stuff, don't engage in the debate until you do. That's awesome. >>That's >>Fine. Continue. Thank you. So my second piece of advice that I wish I could give my younger self is to understand the roles of leaders and influencers in your career and the importance of choosing and purposely working with each. I like to break it down into three types of influencers, managers, mentors, and advocates. So that first group are the people in your management chain. It's your first line manager, your director, your VP, et cetera. Their role in your career is to help you measure short-term success. And particularly with how that success aligns with their goals and the company's goals. But it's important to understand that they are not your mentors and they may not have a direct interest in your long-term career success. I like to think of them as say, you're sixth grade math teacher. You know, you're getting an a in the class and advancing to seventh grade. >>They own you for that. Um, but whether you get that basketball scholarship to college or getting to Harvard or become a CEO, they have very little influence over that. So a mentor is someone who does have a shared interest in your longterm success, maybe by your relationship with him or her, or because by helping you shape your career and achieve your own success, you help advance their goals. Whether it be the company success or helping more women achieve, we do put sip positions or getting more kids into college, on a basketball scholarship, whatever it is, they have some long-term goal that aligns with helping you with your career. And they gave great advice. But that mentor is not enough because they're often outside of the sphere of influence in your current position. And while they can offer great advice and coaching, they may not be able to help you directly advance. >>That's the role of the third type of influencer. Somebody that I call an advocate, an advocate is someone that's in a position to directly influence your advancement and champion you and your capabilities to others. They are in influential positions and others place, great value in their opinions. Advocates stay with you throughout your career, and they'll continue to support you and promote you wherever you are and wherever they are, whether that's the same organization or not. They're the ones who, when a leadership position opens up will say, I think Mary's the right person to take on that challenge, or we need to move in a new direction. I think Mary's the right person to lead that effort. Now advocates are the most important people to identify early on and often in your career. And they're often the most overlooked people early on, often pay too much attention and rely on their management chain for advanced managers, change on a dime, but mentors and advocates are there for you for the long haul. And that's one of the unique things about the database culture. Those set of advocates were just there already because they had focused on building the next generation. So I consider, you know, Mike Carey is my father and Mike Stonebraker is my grandfather. And Jim gray is my great-grandfather and they're always there to advocate for me. >>That's like a scheme and a database. You got to have it all white. They're kind of teed up. Beautiful, great advice. >>Thank you for that. That was really a masterclass. And that's going to be great advice for folks really trying to figure out how to play the cards they have a and the situation and to double down or move and find other opportunities. So great stuff there. I do have to ask you Maira, thanks for coming on the technical side and the product side Couchbase Capella was launched, uh, in conjunction with the event. What is, what is the bottom line for that as, as an operations and engineering, you know, built the products and roll it out. What's the main top line message for about that product? >>Yeah, well, we're very excited about the release of Capella and what it brings to the table is that it's a fully managed in an automated database cloud offering so that customers can focus on development and building and improving their applications and reducing the time to market without having to worry about the hard problems underneath and the operational database management efforts that come with it. Uh, as I mentioned earlier, I started my career as a UVA and it was one of the most sought after and highly paid positions in it because operating a database required so much work. So with Capella, what we're seeing is, you know, taking that job away from me, I'm not going to be able to apply for a DBA tomorrow. >>That's great stuff. Well, great. Thanks for coming. I really appreciate congratulations on the company and public offering this past summer in July and thanks for that great commentary and insight on the QPR. Thank you. >>Thank you very much. >>Okay. Mary Ross, VP of engineering operations at Couchbase part of Couchbase connect online. I'm John furry host of the cube. Thanks for watching.

>>from the cube studios in Palo alto in boston connecting with thought leaders all around the world. >>This is a cute conversation. Welcome to the cubes coverage of HP discover 2021 I'm lisa martin. I've got three guests with me here. They're going to be talking about the partnership between HP and AMG. Please welcome George hope worldwide Head of partner sales at HP terry, Richardson north american channel chief for AMG and Peter chan, the director of media channel sales at AMG Gentlemen, it's great to have you on the cube. >>Well, thanks for having us lisa. >>All right, >>we're excited to talk to you. We want to start by talking about this partnership terry. Let's go ahead and start with you. H P E and M D have been partners for a very long time, very long history of collaboration. Talk to us about the partnership >>HB named, He do have a rich history of collaboration spinning back to the days of chapter on and then when A M. D brought the first generation AMG equity process department back in 2017, HP was a foundational partner providing valuable engineering and customer insights from day one AmY has a long history of innovation that created a high performance CP roadmap for value partners like HP to leverage in their workload optimized product portfolios, maximizing the synergies between the two companies. We've kicked off initiatives to grow the chain of business together with workload focused solutions and together we define the future. >>Thanks terry George, let's get your perspective as worldwide had a partner sales at HP. Talked to me about H P S perspective of that AMG partnership. >>Yeah, they say it's uh the introduction of the third generation AMG Epic processors, we've we've doubled our A. M. D. Based Pro Lion portfolio. We've even extended it to our follow systems. And with this we have achieved a number of world records across a variety of workloads and are seeing real world results. The third generation am the epic processor delivers strong performance, expand ability and the security our customers need as they continue their digital transformation, We can deliver better outcomes and lay a strong foundation for profitable apartment growth. And we're incorporating unmatched workload optimization and intelligent automation with 360° security. And of course, uh with that as a service experience. >>But as a service experience becoming even more critical as is the security as we've seen some of the groundbreaking numbers and data breaches in 2020 alone. Peter I want to jump over to you now. One of the things that we see H P E and M. D. Talking about our solutions and workloads that are key areas of focus for both companies. Can you explain some of those key solutions and the value that they deliver for your customers? >>Absolutely. It's from computing to HPC to the cloud and everything in between and the young HB have been focused on delivering not just servers but meaningful solutions that can solve customer challenges. For example, we've seen here in India, the DL- 325 has been really powerful for customers that want to deploy video. Hp nmD have worked together with icy partners in the industry to tune the performance and ensure that the user experience is exceptional. Um This just one example of many of course, for instance, the 3 45 with database 3 65 for dense deployments, it's key the 35 That has led the way in big data analytics. Um the Apollo 60 500 breaking new path in terms of AI and Machine learning, quite a trending topic and m D H p are always in the news when it comes to groundbreaking HPC solutions and oh by the way, we're able to do this due to an unyielding commitment to the data center and long term laser focused execution on the M the road map. >>Excellent. Thanks. Peter. Let's talk about the channel expansion a little bit more terry with you. You know, you and the team here. Channel Chief focused on the channel. What is A. M. D. Doing specifically to expand your channel capabilities and support all of the Channel partners that work with Andy >>great question lisa Campbell is investing in so many areas around the channel. Let's start with digital transformation. Our Channel partners consistently provided feedback that customers need to do more with less between A and B and H P. E. We have solutions that increase capabilities and deliver faster time to value for the customer looking to do more with less. We have a tool on our website called the and metrics server virtualization, Tco estimation tool and those who have visually see the savings. We also have lots of other resources such as technical documentation, A and E arena for training and general CPU's departments can take advantage of aside from solution examples, AMG is investing in headcount internally and at our channel part race. I'm actually an example of the investment MD is making to build out the channel. One more thing that I'll mention is the investment that are, you know, lisa su and Andy are making to build out the ecosystem from head Count to code development and is investing to have a more powerful user experience with our software partners in the ecosystem. From my discussions with our channel partners, they're glad to see A and d expanding our our channel through the many initiatives and really bringing that ecosystem. >>Here's another question for you as channel chief. I'm just curious in the last year, speaking and you talked about digital transformation. We've seen so much acceleration of the adoption of that since the last 15 months has presented such challenges. Talk to me a little bit about some of the feedback from your channel partners about what you am, D N H B are doing together to help those customers needed to deliver that fast time to value, >>you know, so really it's all about close collaboration. Um we we work very closely with our counterparts at H P. E just to make sure we understand partner and customer requirements and then we work to craft solutions together from engaging, technically to collaborating on on, you know, when products will be shipped and delivered and also just what are we doing to uh to identify the next key workloads and projects that are going to be engaged in together? So it's it's really brought the companies I think even closer together, >>that's excellent as a covid catalyst. As I say, there's a lot of silver linings that we've seen and it sounds like the collaboration terry that you mentioned has become even stronger George. I want to go to you. Let's HP has been around for a long time. My first job in tech was Hewlett Packard by the way, many years ago. I won't mention how long but talk to me about the partnership with AMG from H P s perspective, is this part of H P S D N A? >>Absolutely. Partnering is our D N A. We've had 80 years of collaboration with an ever expanding ecosystem of partners that that all play a key role in our go to market strategy. We actually design and test our strategic initiatives in close collaboration with our partners so that we can meet their most pressing needs. We do that through like farmer advisory boards and things of that nature. Um but we have we have one of the most profitable partner programs in the industry, 2-3 times higher rebates than most of our competitors. And we continue to invest in the partner experience in creating that expertise so partners can stand out in a highly competitive market. Uh And Andy is in direct alignment with that strategy. We have strong synergies and a common focus between the two companies. >>And I also imagine George one question and one question to that there's tremendous value in it for your end user customers, especially those that have had to everyone pivot so many times in the last year and have talked to me a little bit about George What you're saying from the customer's perspective. >>Well as Antonio Neri said a couple of years back, the world is going to be hybrid and uh, he was right. We continue uh we continue to see that evolution and we continue to deliver solutions around a hybrid digital world with, with Green Lake and the new wave of digital transformation that we refer to now as the age of insight customers want a cloud experience everywhere. And 70% of today's workloads can easily be re factored for the public cloud or they need to stay physically close to the data and other apps at the emerging edge or in polos are in the data centers. So as a result, most organizations are forced to deal with the complexity of having two divergent operating models and they're paying higher cost to maintain them both with Green Lake, we provide one consistent operating model with visibility and control across public clouds and on prem environments. And that applies to all workloads, you know, whether it's cloud native or non cloud native applications. Um we also have other benefits like no cloud block in or no data. Egress charges, so you have to pay a steep price just to move workloads out of the public cloud. And then we're expanding collaboration opportunities within for our partner ecosystem so that we can bring that cloud experience to a faster growing number of customers worldwide. So we've launched new initiatives uh in support of the core strategy as we accelerate our as a service vision and then work with partners to unlock better customer outcomes with Green Lake and of course, hb compute of which I am d is part of is, is the underlying value added technology. >>Can you expand on some of those customer outcomes as we look at, as I mentioned before, this very dynamic market in which we live. It's all about customer outcomes. What are some of those that from a hybrid cloud environment perspective with Green like that you're helping customers achieve? >>Well, at least Greenland has come out with with about 30 different different offerings that package up some solutions. So you're not just buying infrastructure as a service. We have offerings like HPC as a service. We have offerings like uh, V D I as a service, ml, ops as a service. So we're packaging in technology, some are are some are not ours, but into completing some solutions. So that creates the outcome that the customers are looking for. >>Excellent. Thanks, George and Peter, last question to you again with the hybrid cloud environment being something that we're seeing more and more of the benefits that Green Lake is delivering through the channel. What's your perspective from a. M decide? >>Absolutely lisa. So, so I mean I think it's clear with a MD based systems, customers get the benefit of performance, security and fast time to value whether deployed on prem and cloud on a hybrid model. So please come try out our HP system based on name the processors and see how we can accelerate and protect your applications. Thank you lisa. >>Excellent, Peter George terry, thank you for joining me today. I'm sure there's a lot more that folks are going to be able to learn about what AM D and H. P. Are doing together on the virtual show floor. We appreciate your time. Thank you. Yeah, for my guests, I'm lisa martin. You're watching the cubes coverage of HP discover 2021 Yeah.

>> Welcome to theCUBE's coverage of HPE Discover 2021. I'm Lisa Martin. I've got three guests with me here today. They're going to be talking about the partnership between HPE and AMD. Please welcome George Hope, Worldwide Head of Partner Sales at HPE, Terry Richardson, North American Channel Chief for AMD, and Peter Chan, the Director of EMEA Channel Sales at AMD. Gentlemen, it's great to have you on theCUBE. >> George: Well, thanks for having us, Lisa. >> We're excited to talk to you. We want to start by talking about this partnership, Terry let's go ahead and start with you. HPE and AMD have been partners for a very long time very long history of collaboration, talk to us about the partnership. >> HPE and AMD do have a rich history and collaboration spinning back to the days of Opteron and then when AMD bought the first-generation AMD EPYC processors to market back in 2017, HPE was a foundational partner providing valuable engineering and customer insights from day one. AMD has a long history of innovation in creating a high performance CPU roadmap for value partners like HPE to leverage in their workload optimized product portfolios. Maximizing the synergies between the two companies, we've kicked off initiatives to grow the chain of business together with workload focused solutions and together we define the future. >> Thanks Terry, George let's get your perspective as worldwide head of partner sales at HPE. Talk to me about HP's perspective at that AMD partnership. >> Yeah Lisa, the introduction of the third generation AMD EPYC processors, we've doubled our AMD based ProLiant portfolio. We've even extended it to our Apollo systems. And with this, we've achieved a number of world records across a variety of workloads, and I've seen real-world results. The third generation AMD EPYC processor delivers a strong performance, expandability, in the security our customers need as they continue their digital transformation. We can deliver better outcomes and lay a strong foundation for profitable apartment growth. And we're incorporating unmatched workload optimization and intelligent automation with 360 degree security. And of course, with an ASA service experience. >> But ASA service experience, becoming even more critical as is the security, as we've seen some of the groundbreaking numbers in data breaches in 2020 alone, Peter, I want to jump over to you now. One of the things that we see HPE and AMD talking about are solutions and workloads that are key areas of a focus for both companies. Can you explain some of those key solutions and the value that they deliver for your customers? >> Absolutely Lisa, (indistinct) to HPC, to the cloud and everything in between AMD and HPE have been focused on delivering not just servers but meaningful solutions that can solve customer challenges. For example, we see here in EMEA, the DL325 has been really powerful for customers who want to deploy VDI. HPE and AMD have worked together with IC partners in the industry to tune the performance and ensure that the user experience is exceptional. This is just one example of many, of course, for instance, the 345 with database, 365 for density deployment is key (indistinct) that has led the way in big data analytics. The Apollo 6500 breaking new path in terms of AI and machine learning, quite a trending topic and AMD and HPE are always in the news when it comes to groundbreaking HPC solutions. I know by the way, we're able to do these, during commitment to the data center on longterm laser focused execution on the AMD roadmap. >> Excellent. Thanks Peter. Let's talk about the channel expansion a little bit more, Terry with you again, you and the team here channel chief focused on the channel. What is AMD doing specifically to expand your channel capabilities and support all of the channel partners that work with AMD? >> Great question, Lisa. AMD's investing in some areas around the channel. Let's start with digital transformation, Our channel partners consistently provide us feedback that customers need to do more with less. Between AMD and HPE, we have solutions that increase capabilities and deliver faster time to value for the customer looking to do more with less. We have a tool on our website called the AMD EPYC server virtualization TCO estimation tool that allows you to visually see the savings. We also have lots of other resources such as technical documentation, AMD arena for training and demo CPU's that partners can take advantage of. Aside from solution examples, AMD is investing in headcount internally at our channel partners. I'm actually an example of the investment AMD is making to build out the channel. One more thing that I'll mention is the investment that our CEO, Lisa Su and AMD are making to build our ecosystem from headcount to code development, AMD is investing to have a more powerful user experience with our software partners in the ecosystem. From my discussions with our channel partners, I'm glad to see AMD expanding our channel through the many initiatives and really broadening that ecosystem. >> Terry, another question for you, as channel chief I'm just curious in the last year speaking to me, talked about digital transformation we've seen so much acceleration of the adoption of that since the last 15 months has presented such challenges. Talk to me a little bit about some of the feedback from your channel partners about what you, AMD and HP are doing together to help those customers that needed to deliver that fast time to value. >> You know, so really, it's all about close collaboration. We work very closely with our counterparts at HPE just to make sure we understand partner and customer requirements, and then we work to craft a solutions together from engaging technically, to collaborating on my products will be shipped and delivered to also just what are we doing to identify the next key workloads and projects that are going to be engaged in together. So it really brought the companies, I think even closer together. >> That's excellent. There's a COVID catalyst, as I say, there's a lot of silver linings that we've seen and it sounds like the collaboration, Terry that you mentioned has become even stronger. George, I want to go to you, HPE has been around for a long time. My first job in tech was Hewlett Packard by the way, many years ago, I won't mention how long but talk to me about the partnership with AMD from HPE's perspective is this part of HPE's DNA? >> Absolutely, partnering is our DNA. We've had 80 years of collaboration with an ever expanding ecosystem of partners that all play a key role in our go to market strategy. We actually design and test our strategic initiatives in close collaboration with our partners so that we can meet their most pressing needs. We do that through like partner advisory boards and things of that nature, but we have of the most profitable partner programs in the industry, two to three times higher rebates than most of our competitors. And we continue to invest in the partner experience and creating that expertise. So partners can stand out in a highly competitive market. And AMD is in direct alignment with that strategy. We have strong synergies and a common focus between the two companies. >> May I also imagine George one follow on question to that, there's tremendous value in it for your end user customers, especially those that have had to everyone pin it so many times in the last year and talk to me a little bit about George what you're seeing from the customers perspective. >> Well, as Antonio Neri said, a couple of years back the world is going to be hybrid and I think he was right, we continue to see that evolution and we continue to deliver solutions around a hybrid digital world with GreenLake. And the new wave of digital transformation that we refer to now as the age of insight. Customers want a cloud experience everywhere and 70% of today's workloads can't easily be refactored to the public cloud, or they need to stay physically close to the data and other apps at the emerging edge or in colos or in the data centers. So as a result, most organizations are forced to deal with the complexity of having two divergent operating models and they're paying higher costs to maintain them both. With GreenLake, we provide one consistent operating model with visibility and control across public clouds and on-prem environments. And that applies to all workloads. You know, whether it's cloud native or non-cloud native applications. We also have other benefits, like no cloud lock-in or no data egress charges. So you don't have to pay a steep price just to move workloads out of the public cloud. And then we're expanding collaboration opportunities within for our partner ecosystem so that we can bring that cloud experience to a faster growing number of customers worldwide. So we've launched new initiatives in support of the core strategy as we accelerate our as a service vision and then work with partners to unlock better customer outcomes with GreenLake. And of course, HPE compute of which AMD is part of is the underlying value added technology. >> Can you expand on some of those customer outcomes as we look at, as I mentioned before this very dynamic market in which we live, it's all about customer outcomes, what are some of those that from a hybrid cloud environment perspective with GreenLake that you're helping customers achieve? >> Well Lisa, GreenLake has come out with about 30 different offerings that package up some solutions. So you're not just buying infrastructure as a service. We have offerings like HPC as a service, so we have offerings like a VDI as a service, ML ops as a service. So we're packaging in technology, some are ours, some are not ours, but in to completing some solutions. So it create the outcome that they, the customers are looking for. >> Excellent. Thanks, George. And Peter, last question to you. Again, with the hybrid cloud environment being something that we're seeing more and more of, the benefits that GreenLake is delivering through the channel, what's your perspective from AMD side? >> Absolutely, Lisa. So, I mean I think it's clear with AMD based systems 'cause we're getting the benefit of performance, security and fast time to value when they're deployed on-prem and the cloud, on a hybrid model. So please come try out our HPC system based on AMD processors and see how we can accelerate and protect your obligations. Thank you, Lisa. >> Excellent. Peter, George, Terry thank you for joining me today. I'm sure there's a lot more that folks are going to be able to learn about what AMD and HPE are doing together on the virtual show floor. We appreciate your time. For my guests, I'm Lisa Martin. You're watching theCUBE's coverage of HPE discover 2021. (uplifting music)

>>We are coming out of a year, like none other and organizations of all types of pressing forward with planning for the future now in the realm of it. And really every industry, no single topic is getting as much attention as digital transformation. Every organization and industry defines digital transformation differently based on the outcomes that they're looking for from creating a digital first business models to driving greater operational efficiency or accelerating innovation by extracting better insights from their data, regardless of how they define their next stage of business. They must all pursue a path of infrastructure, hardware, and software modernization with trusted partners that have the technology and expertise to deliver successful outcomes at HPS accelerating next event. On April 21st, we have a really compelling lineup of industry luminaries. Pat Gelsinger is setting a new and bold direction for Intel. John Chambers is now investing in game changing and society changing tech, Dr. >>Lisa SU who's the CEO of AMD. That's a company that completely transformed itself and become a critical technology supplier for compute solutions. And of course, HPS CEO, Antonio Neary. These execs will be sharing their perspectives on what's next in the market. We'll also have HPE leaders and experts providing details on new requirements, being driven by the defining workloads of the digital era and what capabilities and expertise are needed to enable great future outcomes. We'll also hear directly from some of HP's customers that are on their own path to transformation and how they are accelerating next. This is Dave Volante, inviting you to join us on the 21st of April at 11:00 AM. Eastern time, 8:00 AM Pacific and join the conversation. We'll see you there.

>>Okay, >>welcome to Accelerating next. Thank you so much for joining us today. We have a great program. We're gonna talk tech with experts, will be diving into the changing economics of our industry and how to think about the next phase of your digital transformation. Now. Very importantly, we're also going to talk about how to optimize workloads from edge to excess scale with full security and automation all coming to you as a service. And with me to kick things off as Neil Mcdonald, who's the GM of compute at HP NEAL. Always a pleasure. Great to have you on. >>It's great to see you dad >>now, of course, when we spoke a year ago, we had hoped by this time we'd be face to face. But here we are again, you know, this pandemic, It's obviously affected businesses and people in so many ways that we could never have imagined. But the reality is in reality, tech companies have literally saved the day. Let's start off, how is HPV contributing to helping your customers navigate through things that are so rapidly shifting in the marketplace, >>although it's nice to be speaking to you again and I look forward to being able to do this in person. At some >>point. The >>pandemic has really accelerated the need for transformation and businesses of all sizes. More than three quarters of C. I. O. S. Report that the crisis has forced them to accelerate their strategic agendas, organizations that were ready transforming or having to transform faster and organizations that weren't on that journey yet are having to rapidly develop and execute a plan to adapt to this new reality. Our customers are on this journey and they need a partner for not just the computer technology but also the expertise and economics that they need for that digital transformation. And for us this is all about unmatched optimization for workloads from the edge to the enterprise to extra scale With 360° security and the intelligent automation all available in that as a service experience. >>Well, you know, as you well know, it's a challenge to manage through any transformation, let alone having to set up remote workers overnight, securing them, re setting budget priorities. What are some of the barriers that you see customers are working hard to overcome? >>Simply put the organizations that we talk with our challenged in three areas. They need the financial capacity to actually execute a transformation. They need the access to the resource and the expertise needed to successfully deliver on a transformation. And they have to find the way to match their investments with the revenues for the new services that they're putting in place to service their customers in this environment. >>You know, we have a data partner E. T. R. Enterprise Technology Research and the spending data that we see from them is it's quite dramatic. I mean last year we saw a contraction of roughly 5% of in terms of I. T. Spending budgets etcetera. And this year we're seeing a pretty significant rebound. Maybe a 67% growth ranges is the prediction. The challenge we see his organizations have to they got to iterate on that. I call it the forced march to digital transformation and yet they also have to balance their investments. For example that the corporate headquarters which have kind of been neglected. Is there any help in sight for the customers that are trying to reduce their spending and also take advantage of their investment capacity? >>I think you're right. Many businesses are understandably reluctant to loosen the purse strings right now given all of the uncertainty. And often a digital transformation is viewed as a massive upfront investment that will pay off in the long term, and that can be a real challenge in an environment like this, but it doesn't need to be uh, we work through HP financial services to help our customers create the investment capacity to accelerate the transformation, often by leveraging assets they already have and helping them monetize them in order to free up the capacity to accelerate what's next for their infrastructure and for the business. >>So can we drill into that? I would wonder if you could add some specifics. I mean, how do you ensure a successful outcome? What are you really paying attention to as those sort of markers for success? >>Well, when you think about the journey that an organization is going through, it's tough to be able to run the business and transform at the same time and one of the constraints is having the people with enough bandwidth and enough expertise to be able to do both. So we're addressing that in two ways for our customers. One is by helping them confidently deploy new solutions which we have engineered, leveraging decades of expertise and experience in engineering to deliver those workload optimized portfolios that take the risk and the complexity out of assembling some of these solutions and give them a prepackaged validated supported solution intact that simplifies that work for them. But in other cases we can enhance our customers bandwidth by bringing them HP point Next experts with all of the capabilities we have to help them plan, deliver and support these I. T. Projects and transformations. Organizations can get on a faster track of modernization, getting greater insight and control as they do it. We're a trusted partner to get the most for a business that's on this journey in making these critical computer investments to underpin the transformations and whether that's planning to optimizing to save for retirement at the end of life. We can bring that expertise to bear to help amplify what our customers already have in house and help them accelerate and succeed in executing these transformations. >>Thank you for that. Let's let's talk about some of the other changes that customers see him in the cloud is obviously forced customers and their suppliers to really rethink how technology is packaged, how it's consumed, how it's priced. I mean there's no doubt in that. So take Green Lake, it's obviously leading example of a pay as you scale infrastructure model and it could be applied on prem or hybrid. Can you maybe give us a sense as to where you are today with Green Lake? >>Well, it's really exciting now from our first pay, as you go offering back in 2006, 15 years ago to the introduction of Green Lake. HBs really been paving the way on consumption-based services through innovation and partnership to help meet the exact needs of our customers. Hp Green Lake provides an experience, is the best of both worlds. A simple paper use technology model with the risk management of data that's under our customers direct control and it lets customers shift to everything as a service in order to free up capital and avoid that upfront expense that we talked about. They can do this anywhere at any scale or any size and really HP Greenlee because the cloud that comes to you >>like that. So we've touched a little bit on how customers can maybe overcome some of the barriers to transformation. What about the nature of transformations themselves? I mean historically there was a lot of lip service paid to digital and and there's a lot of complacency, frankly, but you know that covid wrecking ball meme that so well describes that if you're not a digital business, essentially you're gonna be out of business. So, you know, those things have evolved, how is HPV addressed the new requirements? >>Well, the new requirements are really about what customers are trying to achieve. And four very common themes that we see are enabling the productivity of remote workforce. That was never really part of the plan for many organizations being able to develop and deliver new apps and services in order to service customers in a different way or drive new revenue streams, being able to get insights from data so that in these tough times they can optimize their business more thoroughly. And then finally think about the efficiency of an agile hybrid private cloud infrastructure. Especially one that now has to integrate the edge. And we're really thrilled to be helping our customers accelerate all of these and more with HP computer. >>I want to double click on that remote workforce productivity. I mean again the surveys that we see, 46 of the ceo say that productivity improved with the whole work from home remote work trend. And on average those improvements were in the four range which is absolutely enormous. I mean when you think about that how does HP specifically help here? What do you guys do? >>Well every organization in the world has had to adapt to a different style of working and with more remote workers than they had before. And for many organizations that's going to become the new normal. Even post pandemic, many I. T. Shops are not well equipped for the infrastructure to provide that experience because if all your workers are remote the resiliency of that infrastructure, the latency is of that infrastructure, the reliability of are all incredibly important. So we provide comprehensive solutions expertise and as a service options that support that remote work through virtual desktop infrastructure or V. D. I. So that our customers can support that new normal of virtual engagements online everything across industries wherever they are. And that's just one example of many of the workload optimized solutions that we're providing for our customers is about taking out the guesswork and the uncertainty in delivering on these changes that they have to deploy as part of their transformation. And we can deliver that range of workload optimized solutions across all of these different use cases. Because of our broad range of innovation in compute platforms that span from the ruggedized edge to the data center all the way up to exa scale in HPC. >>I mean that's key if you're trying to affect the digital transformation and you don't have to fine tune, you know, basically build your own optimized solutions if I can buy that rather than having to build it and rely on your R and D. You know, that's key. What else is HP doing? You know, to deliver new apps, new services, you your microservices, containers, the whole developer trend, what's going on there? >>Well, that's really key because organizations are all seeking to evolve their mix of business and bring new services and new capabilities, new ways to reach their customers, new way to reach their employees, new ways to interact in their ecosystem all digitally. And that means that development and many organizations of course are embracing container technology to do that today. So with the HP container platform, our customers can realize that agility and efficiency that comes with container ization and use it to provide insight to their data more and more on that data of course is being machine generated or generated the edge or the near edge. And it can be a real challenge to manage that data holistically and not of silos and islands at H. P. S. Moral data fabric speeds the agility and access to data with a unified platform that can span across the data centers, multiple clouds and even the edge. And that enables data analytics that can create insights powering a data driven production oriented cloud enabled analytics and AI available anytime anywhere and at any scale. And it's really exciting to see the kind of impact that that can have in helping businesses optimize their operations in these challenging times. >>You gotta go where the data is and the data is distributed. It's decentralized. I I like the liberal vision and execution there so that all sounds good. But with digital transformation you're gonna see more compute in hybrid deployments. You mentioned edge. So the surface area, it's like the universe its its ever expanding. You mentioned, you know, remote work and work from home before. So I'm curious where are you investing your resources from a cyber security perspective? What can we count on from H P. E there >>Or you can count on continued leadership from hp as the world's most secure industry standard server portfolio. We provide an enhanced and holistic 360° view to security that begins in the manufacturing supply chain and concludes with a safeguarded end of life Decommissioning. And of course we've long set the bar for security with our work on silicon root of trust and we're extending that to the application tier. But in addition to the security customers that are building this modern Khyber or private cloud, including the integration of the Edge need other elements to they need an intelligent software defined control plane so that they can automate their compute fleets from all the way at the edge to the core. And while scale and automation enable efficiency, all private cloud infrastructures are competing with Web scale economics and that's why we're democratizing web scale technologies like Pensando to bring web scale economics and web scale architecture to the private cloud. Our partners are so important in helping us serve our customers needs. >>Yeah. I mean H. P. Is really up to its ecosystem game since the middle of last decade when when you guys reorganized and it became even more partner friendly. So maybe give us a preview of what's coming next in that regard from today's event. >>Well, they were really excited to have HP. Ceo, Antonio Neri speaking with Pat Gelsinger's from Intel and later lisa su from A. M. D. And later I'll have the chance to catch up with john Chambers, the founder and Ceo of J. C. Two ventures to discuss the state of the market today. >>Yeah, I'm jealous. You got, yeah, that's a good interviews coming up, NEal, thanks so much for joining us today on the virtual cube. You've really shared a lot of great insight how HP is is partner with customers. It's, it's always great to catch up with you. Hopefully we can do so face to face, you know, sooner rather than later. >>I look forward to that. And you know, no doubt our world has changed and we're here to help our customers and partners with the technology, the expertise and the economics they need For these digital transformations. And we're going to bring them unmatched workload optimization from the edge to exa scale with that 360° security with the intelligent automation. And we're gonna deliver it all as an as a service experience. We're really excited to be helping our customers accelerate what's next for their businesses. And it's been really great talking with you today about that day. Thanks for having me >>very welcome. It's been super Neil and I actually, you know, I had the opportunity to speak with some of your customers about their digital transformation and the role of that HPV plays there. So let's dive right in. >>Yeah. Mm.

>> Announcer: From around the globe, it's theCUBE! Covering Space and Cybersecurity Symposium 2020. Hosted by Cal Poly. >> Hello everyone. Welcome to the Space and Cybersecurity Symposium 2020, put on by Cal Poly and hosted with SiliconANGLE theCUBE here in Palo Alto, California for a virtual conference. Couldn't happen in person this year, I'm John Furrier, your host. The intersection of space and cybersecurity, obviously critical topics, great conversations. We've got a great guest here to talk about the addressing the cybersecurity workforce gap. And we have a great guest, and a feature speaker, Stewart Knox, the undersecretary with California's Labor and Workforce Development Office. Stewart, thanks for joining us today. >> Thank you so much, John. I appreciate your time today and listening to a little bit of our quandaries with making sure that we have the security that's necessary for the state of California and making sure that we have the workforce that is necessary for cybersecurity in space. >> Great. I'd love to get started. I've got a couple of questions for you, but first take a few minutes for an opening statement to set the stage. >> Sure, realizing that in California, we lead the nation in much of cybersecurity based on Department of Defense contractors within the state of California, leading the nation with over 160 billion dollars within the industry just here in California alone and having over 800,000 plus workers full time employment in the state of California is paramount for us to make sure that we face defense manufacturers, approximately 700,000 jobs that are necessary to be filled. There's over 37,000 vacancies that we know of in California, just alone in cybersecurity. And so we look forward to making sure that California Workforce Development Agency is leading the charge to make sure that we have equity in those jobs and that we are also leading in a way that brings good jobs to California and to the people of California, a good education system that is developed in a way that those skills are necessarily met for the employers here in California, and the nation. >> One of the exciting things about California is obviously look at Silicon Valley, Hewlett Packard and the garage story, history, space, it's been a space state, many people recognize California. You mentioned defense contractors. It's well rooted with history, just breakthroughs, bases, technology companies in California. And now you've got technology. This is the cybersecurity angle. Take a minute to give some more commentary to that because that's really notable, and as the workforce changes, these two worlds are coming together and sometimes they're in the same place, sometimes they're not. This is super exciting and a new dynamic that's driving opportunities. Could you share some color commentary on that dynamic? >> Absolutely. And you're so correct. I think in California, we lead the nation in the way that we develop programs, that our companies lead in the nation in so many ways around cyberspace, cybersecurity in so many different areas, for which in the Silicon Valley is just such a leader and those companies are good, qualified companies to do so. Obviously one of the places we play a role is to make sure that those companies have a skilled workforce. And also that the security of those systems are in place for our defense contractors and for the feeder companies, those outlying entities that are providing such key resources to those companies are also leading on a cutting edge for the future. Also again, realizing that we need to expand our training and skills to make sure that those California companies continue to lead, is just such a great initiative. And I think through apprenticeship training programs, and looking at our community college systems, I think that we will continue to lead the nation as we move forward. >> You know, we've had many conversations here in this symposium virtually, certainly around the everyday life of a consumer is impacted by space. You know, we get our car service, Uber, Lyft, we have maps, we have all this technology that was born out of defense contracts and R and D that really changed generations and created a lot of great societal value. Okay, now with space kind of going to the next generation, it's easier to get stuff into space. The security of the systems is now going to be not only paramount for quality of life, but defending that, and the skills are needed in cybersecurity to defend that. And the gap is there. What can we do to highlight the opportunities for career paths? It used to be the day where you get a mechanical engineering degree or aerospace and you graduate and you go get a job, not anymore. There's a variety of paths, career-wise. What can we do to highlight this career path? >> Absolutely correct. And I think it starts, you know, K through 12 system. And I know a lot of the work that (indistinct) and other entities are doing currently. This is where we need to bring our youth into an age where they're teaching us, right, as we become older, on the uses of technology, but it's also teaching where the levels of those education can take them, K through 12, but it's also looking at how the community college system links to that. And then the university system links above and beyond, but it's also engaging our employers. You know, one of the key components, obviously as the employers play a role, for which we can start to develop strategies that best meet their needs quickly. I think that's one of the comments we hear the most, at Labor Agency is how we don't provide a change as fast as we should, especially in technology. You know, we buy computers today and they're outdated tomorrow. It's the same with the technology that's in those computers is that those students are going to be the leaders within that to really develop how those structures are in place. So K through 12 is probably our primary place to start, but also continuing that past the K-12 system. And I bring up the employers and I bring them up in a way, because many times when we've had conversations with employers around what their skills needs were and how do we develop those better? One of the pieces of that, that I think really should be recognized, many times they recognize that they wanted a four year degree, potentially, or a five year or six year degree. But then when we really looked at the skillsets, someone coming out of the community college system could meet those skillsets. And I think we need to have those conversations to make sure, not that they shouldn't be continuing their education. They absolutely should. But how do we get those skillsets built into this into a K-12 plus the two year plus the four year person? >> Yeah, I love the democratization of these new skills, because again, there's no pattern matching 'cause they weren't around before, right? So you got to look at the exposure, to your point, K through 12 exposure, but then there's an exploration piece of it, whether it's community college or whatever progression, and sometimes it's nonlinear, right? I mean, people are learning different ways, combining the exposure and the exploration. That's a big topic. Can you share your view on this? Because this now opens up more doors for people, choice, you got new avenues, you got online, I can get a cloud computing degree now from Amazon and walk in and help. I can be, you know, security clearance possibly in college. So, you know, you get exposure. Is there certain things you see, is it early on? Middle school? And then obviously the exploration, those are two important concepts. Can you unpack that a little bit, exposure and exploration of skills? >> Absolutely, and I think this takes place not only in the K-12 system, but it takes place in our community colleges and our four year universities is that, that connection with those employers is such a key component, that if there's a way we could build in internships, work experiences, what we call on the job training programs, apprenticeship training, pre-apprenticeship training programs, into a design where those students at all levels are getting an exposure to the opportunities within the space and cybersecurity avenue. I think that right there alone will start to solve a problem of having 37 plus thousand openings at any one time in California. Also, I get that there's a burden on employers to do that. And I think that's a piece that we have to acknowledge, and I think that's where education can play a larger role. That's a place we at Labor Workforce Development Agency play a role with our apprenticeship training programs, our pre-apprenticeship training programs. I could go on all day of all of our training programs that we have within the state of California. Many of the list of your partners on this endeavor are partners with Employment Training Panel, which I used to be the director of the Brown administration of. That program alone does incumbent worker training. And so that also is an exposure place where a worker may be, you know, I use the old adage of sweeping the floors one day and potentially writing a large portion of the business, within years. But it's that exposure that that employee gets through training programs, and acknowledging those skill sets and where their opportunities are, is what's valid and important. I think that's where our students, we need to play a larger role than the K-12 system, really, to get that pushed out there. >> It's funny, here in California, you were the robotics clubs in high school are like a varsity sport, you're seeing kids exposed early on with programming, but it's, you know, this whole topic of cybersecurity and space intersection around workforce, and the gaps in the skills, it's not just for the young, certainly the young generation's got to be exposed to what the careers could be and what the possible jobs and societal impact and contributions, what they could be, but also it's people who are already out there. You know, you have retraining, re-skilling, this plays an important role. I know you guys do a lot of thinking on this as the undersecretary, you have to look at this because you know, you don't want to have a label "old and antiquated" systems. And a lot of them are, and they're evolving and they're being modernized by digital transformation. So what does the role of retraining and skill development for these programs play? Can you share what you guys are working on and your vision for that? >> Absolutely. That's a great question. 'Cause I think that is where we play a large role, obviously in California and with COVID-19 is we are faced with today that we've never seen before. At least in my 27 years of running programs, similar to all workforce and economic development, we are having such a large number of people displaced currently that it's unprecedented, we've got employment rates to where we are. We're really looking at how do we take, and we're also going to see industries not return to the level for which they stood at one point in time, you know, entertainment industries, restaurants, all of the alike, really looking at how do we move people from those jobs that were middle skill jobs to upper skill jobs, but the pay points maybe weren't great, potentially. And there's an opportunity for us to skill people into jobs that are there today. It may take training, obviously, but we have dollars to do that, generally, especially within our K-12 and our K-14 systems and our universities. But we really want to look at where those skillsets are at, currently. And we want to take people from that point in time where they sit today, and try to give them that exposure to your point earlier question is how do we get them exposed to a system for which there are job with means that pay well, with benefit packages, with companies that care about their employees. 'Cause that's what our goal is. >> You know, I don't know if you have some visibility on this or an opinion, but one of the observations that I've had and talk to whether it's a commercial or public sector, is that with COVID, there's been a lot of awareness of the situation. We're adequately prepared. There's some readiness, but as everyone kind of deals with it, they're also starting to think about what to do post-COVID as we come out of it, a growth strategy for a company or someone's career. People are starting to have that on the top of their minds. So I have to ask you, is there anything that you see that they say, "Okay, certain areas, maybe not doubling down on other areas, we're going to double down on because we've seen some best practices on a trajectory of value for coming out of COVID with, you know, well-armed skills or certain things." 'Cause that's what a lot of people are thinking right now. And certainly cyber is, I mean, how many jobs are open? So you got "Well that that's kind of maybe not something to double down on, here are areas we see that are working." Can you share your current visibility into that dynamic? >> Absolutely. Another great question. One of the key components that we look at at Labor Workforce Development Agency is to look at the industries in growth modes and ones that are in decline modes. Now COVID has changed that greatly. We were in a growth mode for the last seven, eight years. We saw almost every industry, minus a few, that were all in growth in one way or another, but obviously that has changed. Our landscape is completely different than we saw six, seven months ago. So today we're looking at cybersecurity, obviously with 30 plus thousand job openings, we are looking at Defense Department contractors, obviously, with federal government contracts. We are looking at the supply chains within those. We are looking at healthcare, which has always been one of obviously our large, one of our large entities that has grown over the years. But it's also changed with COVID-19. We're looking at the way protective equipment is manufactured and the way that that will continue to grow over time, we're looking at the service industry. I mean, it will come back, but it won't come back the way we've seen it probably in the past, but where are the opportunities that we develop programs that we are making sure that the skill sets of those folks are transferable to other industries. We have one of the issues that we face constantly in Labor and Workforce Development programs is understanding that over the period of time, especially in today's world, again, with technology, that people's skillsets, we don't see as in my parents' day that you worked at a job for 45 years and you retired at one job potentially. That's been gone for 25 years, but now at the pace for which we are seeing systems change, this is going to continue to amp up, and I will say, youth of today, my 12 year old nephew is in the room next door to me, in a classroom right now online. And so, you know, it's a totally different atmosphere and he's enjoying actually being at home and learning from an all online system. I would not have been able to learn that way, but I think we do see through the K through 12 system, the way we're moving, people's interests will change. And I think that they will start to see things in a different way than we have in the past. They were forced systems. We are an old system, been around since the 30s. Some even we'll say prior to the 30s, came out of the Great Depression in some ways. And that system, we have to change the way we develop our programs. It should not be constant and it should be an evolving system. >> It's interesting. A lot of the conversations between the private and public partnerships and industry, you're seeing an agile mindset where it's a growth mindset, it's also a reality-based mindset and certainly space kind of forces this conversation with cybersecurity of being faster, faster, more relevant, more modern. And you mentioned some of those points, and with COVID impact, the workforce development is certainly going to put a lot of pressure on faster learning. And then you mentioned online learning. This has become a big thing. It's not just putting education online per se. There's new touchpoints. You know, you've got apps, you've got digital. This digital transformation is also accelerating. How do you guys view the workforce development? Because it's going to be open. It's going to be evolving. There's new data coming in and maybe kids don't want to stare at a video conference. Is there some game aspect to it? Is there, how do you integrate these new things that are coming really fast, and it's happening kind of in real time in front of our eyes. So I'd love to get your thoughts on how you guys see that because it'll certainly impact their ability to compete for jobs and/or to self-learn. >> Well, I think one of the key components of California is our innovation, right? And so I think one of the things that we pride ourselves in California is around that. That said, that is the piece that I think the Silicon Valley, and then there's many areas in California that have done the same, or tried to do the same, at least in their economy is to build in innovation. And I think that's part of the K through 12 system, with our state universities and our UCs is to be able to bridge that. I think that you, we see that within universities that really instill an innovative approach to teaching, but also instill innovation within their students. I'm not sure we're there yet fully, with our K-12 system, and I think that's a place that either our community colleges could be a bridge to as well. So that's one component of workforce development I think that we look at as being a key piece. You brought up something that's really interesting to me is when you talk about agile, and one of the things that even in state government, this is going to be shocking to you, but we have not been an agile system as well. I think one of the things that the Newsom administration, Governor Newsom's administration has brought is, and when I talk about agile systems, I actually mean agile systems. We've gone from COBOL systems, which are old and clunky, still operating, but at the same time, we're looking at upgrading all of our systems in a way that even in our technology, in the state of California should be matching, the technology that our great state has within our state. So therein lies, it's also challenges of finding the qualified staff that we need in the state of California for all of our systems and servers and everything that we have currently. So, you know, not only are we looking at external users of labor workforce development, but we're looking at internal users, that the way we redevelop our systems so that we are more agile in two different ways. >> You just got me triggered with COBOL. I programmed in the 80s with COBOL, only one credit lab in college. Never touched it again, thank God. But this is the benefit of cloud computing. I think this is at the heart and this is the undertone of the conference and symposium is cloud computing, you can actually leverage existing resources, whether they're legacy systems, because they are running, they're doing a great job and they do a certain workload extremely well. Doesn't make sense to replace if it does a job. You can integrate it and that's what cloud does. This is opening up more and more capabilities and workloads. This is kind of what the space industry is pointing to when they say "We need people that can code and that can solve data problems," not just the computer scientists, but a large range of people, creative, data, science, everything. How does California's workforce solve the needs of America's space industry? This is because it's a space state. How do you see the labor workforce meeting those needs? >> Yeah, I think it's an investment. Obviously it's an investment on our part. It's an investment with our college partners. It's an investment from our K-12 system to make sure that we are allocating dollars in a way through meeting the demand of industry. And we do look at industry-specific around their needs, obviously this is a large one. We want to be very receptive, and work with our employers and our employee groups to make sure that we meet that demand. I think it's putting our money where our mouth is and designing and working with employer groups to make sure that the training meets their needs. It's also working with our employer groups to make sure that the employees are taken care of and that equity is built within the systems, that we keep people employed in California, and they're able to afford a home and they're able to afford a life here in California, but it's also again and I brought up the innovation component. I think it's building an innovation within systems for which they are employers, but are also our incoming employees and our incumbent workers. And you brought those up earlier, people that are already employed and people that are unemployed currently with a skill set that might match up is how do we bridge those folks into employment that they maybe have not thought about? We have a whole career network of systems out throughout The City of California with the America's Job Centers of California, and they will be working, and they already are working with a lot of dislocated workers. And one of the key components of that is to really look at how do we take what their current skillset might be, and then expose them to a system for which we have 37 plus thousand job openings, too, and how do we actually get those folks employed? It's paid for potentially through that local Workforce Innovation and Opportunity Act funding through our America's Job Centers, to pay for some on the job training. It's to be able to pay for work experiences, it's to be able to pay for internships for students to get that opportunity with our employers and also partnering with our employers that they're paying, obviously a percentage of that too. >> You know, one of the things I've observed over my career, 54 times around the sun is, you know, in the old days, when I was in college and school, you had career, people had the longer jobs, as you mentioned it's not like that anymore. But also I knew someone I'm going to to be in line to get that job, maybe nepotism or things of that nature. Now the jobs have no historical thing or someone worked longer in a job and has more seniority. A lot of these jobs, Stewart, don't have requirements, like no one's done them before. So the ability for someone who is jumping in, either from any college, there's no real, it's all level set, it's a complete upside down script here. It's not like, "Oh, I went to school, therefore I get the job." It can be, anyone can walk into these careers because the jobs are so new. So it's not where you came from or what school you went to or your nationality or gender. The jobs have been democratized. They're not discriminating against people with skills. This opens up more. How do you see that? Because this really is an opportunity for this next generation to be more diverse and to be more contributive because diversity brings expertise and different perspectives. Your thoughts on that. >> Absolutely, and that was one of the things we welcome, obviously. We want to make sure that that everybody is treated equally and that the employers view everyone as an employer of choice, but an employee of choice as well. We've also been looking at, as I mentioned before on the COVID situation, looking at ways that folks that are maybe stuck in jobs that don't have a huge career pathway, or they don't have a pathway out of poverty. I mean, we have a lot of working poor people in the state of California that may now due to COVID lost their employment. This, you know, let's turn back to the old adage, let's turn lemons into lemonade. How do we take those folks and get them employed into jobs that do have a good career pathway? And it's not about just who you knew, or who you might have an in with to get that job. It is based on skills. I think though, that said, we need to have a better way to actually match those jobs up with those employers. And I think those are the ongoing conversations with those employer groups to make sure that, one, that they see those skill sets as valid and important. They're helping design those career sets with us so that they do match up and that we're quickly matching up those close skillsets so that we're not training people for yesterday's skills. >> I think the employer angle's super important, but also the educators as well. One of the things that was asked in another question by the guest, they said, she said, the real question to ask is, how early do you start exposing the next generation? You mentioned K through 12, do you have any data or insight into or intuition or best practice of where that insertion point is, that exposure point? Is it middle school? Is it elementary, honestly, high school, once you're in high school, you got your training wheels are off, you're off to the races, but is there a best practice? What's your thoughts, Stewart, on exposure level to these kinds of new cyber and technical careers? >> Sure, absolutely. I would say kindergarten. We, San Bernardino has a program that they've been running for a little bit of time, and they're exposing students K through 12, but really starting in kindergarten. One is the exposure to what a job looks like. And then actually I've gone down to that local area and I've had the opportunity to see, you know, second graders in a healthcare facility, basically, that they have on campus built-in. And they're going from one workstation as a second grader, looking at what those skills would be and what that job would entail from a nurse to a doctor, to a physician's assistant, and really looking at what that is. You know, obviously they're not getting the training that a doctor gets, but they are getting the exposure of what that would be. And I think that is amazing. And I think it's the right place to start. It was really interesting 'cause as I left, this was pre-COVID, but as I jumped on the plane to come back up north, I was thinking to myself, "How do we get this to all school districts in California where we see that opportunity to expose jobs and skill sets to kids throughout the system and develop those skill sets so that they do understand that they have an opportunity?" >> We are here at Cal Poly Space and Cybersecurity Symposium. We have educators, we have students, we have industry and employers and government together. What's your advice to them all watching and listening about the future of work, this workforce, what can people do? What do you think you're enabling? What can maybe the private sector help with and what are you trying to do? Can you share your thoughts on that? Because we have a range from the dorm room to the boardroom here at this event. I'd love to get your thoughts on the workforce development view of this. >> Yeah, absolutely. And I think that's the mix. I mean, I think it's going to take industry to lead, in a lot of ways in terms of understanding what their needs are and what their needs are today and what they will be tomorrow. I think it takes education to listen, and to understand, and labor and workforce development to also listen and understand what those needs will look like. And then how do we move systems? How do we move systems quickly? How do we move systems in a way that meets those needs? How do we put money into systems where the most need is, but also looking at trends? What is that trend going to look like in two years? What is that trend going to look like in five years, (indistinct), again, listening to those employers, it's also listening to the community-based organizations. I think obviously some of our best students are also linked to CBOs in one way or another. It may be for services, it may be for faith-based, it may be anything, but I think we also need to bring in the CBOs as well. A lot of outreach goes through those systems in conjunction with, but I think that's the key component is to make sure that our employers are heard and that they sit at the table, like you said, to the boardroom of understanding, and I think bringing students into that so that they get a true understanding of what that looks like as well, is a key piece of this. >> Stu, one of the things I want to bring up with you is maybe a little bit more about the research side of it, but John Markoff, who was a former New York times reporter, but author of the book, "What the Dormouse Said," it was a book about the counterculture of the 60s and the computer revolution. And really it was about how government defense spending drove the computer revolution that we now saw with Apple and PC. And then the rest is history in California, has really participated, Stanford, the Berkeley, and the University of California school system, and all the education community colleges around it. That moment, the enablement, and now you're seeing space kind of bringing that, a lot of research coming in, need a lot of billionaires putting money in, you've got employers playing a role. You have this new focus, space systems, cybersecurity defending and making it open and, not congested and peaceful, is going to enable quickly, new inflection points for opportunities. I want to get your thoughts on that because California's participated and drove those revolutions, that's created massive value. This next wave seems to be coming upon us. >> Yeah, absolutely. And again, not to use COVID again as too much of a starting point to this, but I think that is also an opportunity to actually, 'cause I think one of the things that we were seeing seven months ago was a skill shortage, and we still see the skill shortage, obviously. But I think a key piece to that is we saw a people shortage. Not only was it skill shortage, but we didn't have enough people really to fill positions in addition, too, and I think that people also felt they were already paying the bills and they were making ends meet and they didn't have the opportunities to get additional skills. This again is where we're looking at, you know, our world has changed. It changed in the 60s based on what you're just expressing in terms of California leading the way. Let's let California lead the way again in developing a system for which labor workforce development with our universities, our amazing universities and community college system structure, of how do we get students back into school? You know, a lot of graduates may already have a degree, but how do they now take a skill set that they already have and develop that further with the idea that those jobs have changed? We also have a lot of folks that don't have a degree, and that's okay, but how do we make that connection to a system that may have failed a lot of our people over the years, and our students who didn't make it through the school system, how do we develop an adult training school? How do we develop contract education through our community college system with our employer sets, that we develop cohorts within the systems of workers that have amazing talents and abilities to start to fill these needs. And I think that's the key components that here at Labor Workforce Development Agency, we work with our community colleges, our UCs and our state universities to develop and figure that piece out. And I think it is our opportunity for the future. >> That's such a great point. I want to call that out, this whole opportunity to retrain people that are out there because these are new jobs. I think that's a huge opportunity and, I hope you keep building and investing in those programs. That's really worth calling out. Thank you for doing that. And yeah, it's a great opportunity to gain these jobs. They pay well, too, cybersecurity's a good job and you don't really need to have that classical degree. You can learn pretty quickly if you're smart. So again, great call out there. A question for you on geography. You mentioned COVID, we're talking about COVID, virtualization, we're virtual with this conference. We couldn't be in person. People are learning virtually, but people are starting to relocate virtually. And so one observation that I have is the space state that California is, there's space clusters of areas where space people hang out, or space spaces and whatnot. Then you got like the tech community, the cybersecurity market, you know, Silicon Valley, you know, the talent is in these hubs. And sometimes cyber's not always in the same hubs as space. Maybe Silicon Valley has some space here, and some cyber, but that's not generally the case. This is an opportunity potentially to intersect. What's your thoughts on this? Because this is something that we're seeing, where space has historical, you know, geographies. Now with borderless communication, the work mode is not so much "You have to move to this space area." You know what I'm saying? So what's your thoughts on this? How do you guys look at, this is on your radar, and how you're viewing this dynamic. >> It's absolutely on our radar. Like you said, you know, here we are, talking virtually, and you know, 75% of all of our staff currently, in some of our departments, it's 80% of our staff, are now virtual. Seven months ago, we were not. Government, again, being slow move, we quickly transitioned, obviously, to being able to have a telework capacity. We know employers moved probably even more quickly than we did, but we see that as an opportunity for our rural areas, our Central Valley, our Northstate, Inland Empire. That you're absolutely correct. I mean, if you didn't move to a city or to a location for which these jobs were really housed, you didn't have an opportunity like you do today. I think that's a piece that we really need to work with our education partners on, to be able to see how much this has changed. Labor Agency absolutely recognizes this. We are investing funding in the Central Valley. We're investing funding in the Northstate and Inland Empire to really look at youth populations, of how the new capacity that we have today is going to be utilized for the future for employers. But we also have to engage our universities around this as well, but mostly our employers. I know that they're already very well aware. I know that a lot of our large employers within Silicon Valley have already done it. They're doing almost 100% telework policies, but the affordability to live in rural areas in California, also enables us to have a way to make products more affordable as well, potentially in the future. But we want to keep California businesses healthy and whole in California, of course. And that's another way we can expand and keep California home to our 40 plus million people. >> Well Stewart, great work and congratulations for doing such a great job. Keep it up. I got to ask you about the governor. I've been following his career since he's been in office as a political figure. He's progressive, he's cutting edge. He likes to rock the boat a little bit here and there, but he's also pragmatic. You're starting to see government workers starting to get more of a tech vibe. Just curious from your perspective, how does the governor look at, I mean, the old, I won't say "old guard," but like, you know, it used to be, you become a lawyer, you become a lawmaker. Now a tech savvy lawmaker is a premium candidate, is a premium person in government. Knowing what COBOL is, is a start. I mean, these are the things that as we transform and evolve our society, we need thinkers who can figure out which side of the streets self driving cars go on. I mean, who does that? It's a whole nother generation of thinking. How does the governor, how do you see this developing? Because this is the challenge for society. How does California lead? How do you guys talk about the leadership vision of why California and how will you lead the future? >> Absolutely. No governor that I'm aware of, and I've been around for 26, 27 years of workforce development, has led with an innovation background as this governor has, especially around technology and the use of technology. You know, he's wrote a book about the use of technology when he was lieutenant governor. And I think it's really important for him that we, as his staff are also on the leading edge of technology. I brought up agile systems earlier. When I was under the Brown administration, we had moved to where I was at the time, Employment Training Panel, we moved to an agile system and deployed that. One of the first within the state to do that and coming off of an old legacy system that was an antique. I will say it is challenging. It's challenging on a lot of levels. Mostly the skill sets that our folks have, sometimes are not open to a new agile system, to an open source system is also an issue in government. But this governor absolutely, I mean, he has established the Office of Digital Innovation, which is part of California Department of Technology, in partnership with, and that just shows how much he wants to push our limits to make sure that we are meeting the needs of Californians. But it's also looking at, you know, Silicon Valley being at the heart of our state, how do we best utilize systems that are already there? How do we better utilize the talent from those folks as well? We don't always pay as well as they do in the state, but we do have great benefit packages, everybody knows. So if anybody's looking for a job, we're always looking for technology folks as well. And so I would say that this governor absolutely leads in terms of making sure that we will be on cutting edge technology for the nation. >> And, you know, talk about pay, I mean, I know it's expensive to live in some parts of California, but there's a huge young population that wants a mission-driven job, and serving the government for the government, it's awesome. A final parting question for you, Stewart, is as you look at the workforce, a lot of people are passionate about this and it's, you know, you can't go anywhere without people saying, you know, "We've got to do education this way, and that way," there's an opinion everywhere you go. Cybersecurity, obviously a little bit peaked and focused, but there are people who are paying attention to education. So I have to ask you what creative ways can people get involved and contribute to workforce development, whether it's STEM, underrepresented minorities, people are looking for new, innovative ways to contribute. What advice would you give these people who have the passion to contribute to the next cyber workforce? >> Yeah, I appreciate that question because I think it's one of the key components that my secretary, Julie Su, secretary of Labor and Workforce Development Agency, talks about often. And a couple of us always have these conversations around one is getting people with that passion to work in government, one, or, and I brought it up community-based organizations. I think so many times that we didn't work with our CBOs to the level that in government, we should, this administration is very big on working with CBOs and philanthropy groups to make sure that the engagement of those entities are at the highest level. So I would say, students have opportunities to also engage with local CBOs and be that mission, what their values really drives them towards. And that gives them a couple of things to do, right? One is to look at ways that we're helping society in one way or another through those organizations, but it also links them to their own mission and how they can develop those skills around that. But I think the other piece to that is in a lot of these companies that you are working with and that we work with, have their own foundations. So those foundations are amazing. We work with them now, especially in the Newsom administration, more than we ever have. These foundations are really starting to help develop our strategies. My secretary works with a large number of foundations already, and we do as well in terms of strategy, really looking at how do we develop young people's attitudes towards the future, but also skills towards the future? >> Well, you got a pressure cooker of a job. I know how hard it is. I know you're working hard and appreciate what you do. And, and we wish you the best of luck, thank you for sharing this great insight on workforce development. And you guys are working hard. Thank you for what you do. Appreciate it. >> Great. Thank you so much. I appreciate it. >> This is theCUBE coverage and co-production of the Space and Cybersecurity Symposium 2020 with Cal Poly. I'm John Furrier with siliconangle.com and theCUBE. Thanks for watching. (calm music)

>>from around the globe. It's the Cube with coverage of Susic on digital brought to you by Susan. >>Right? Hi. I'm Stew Minuteman. And welcome to the Cube's coverage of Susic on Digital 20. Rather than gathering together in Dublin, we have a larger audience online watching everything digitally, really helping a happy to have on the program. Back to the program. One of our cube alumni. She is fresh off the keynote stage. Melissa DiDonato. She is the CEO of Tuesday. Melissa. So good to see you. Wish it could all be in person. But, you know, thanks for having the Cube in. Ah, >>thank you very much for joining us as well. My third time on the show. I'm really, really pleased to be an important part of our digital experience with Susie. Conditional. So still what? Nice to see you. >>All right. So last time you were on the program, you spoke to Dave. Dave a lot today about how you know you're keeping your employees safe and keeping them productive. The note I heard clearly from you in your keynote presentation is really a sense of optimism. So, like, if you could bring us a little bit inside. You know, I'm sure you're talking to a lot of your customers. What is it even then in these unprecedented Well, I'm giving you that sense of optimism. >>Yeah, there's no denying where we are in the world with Kobe. 19. We have a whole different way of looking at the world. Every business in every industry has been impacted, and not just the working life but our family life. The way we communicate, the way we run our homes, our environments at work is it's been very much integrated now. It's a very different way of adding a whole different level of stress that we didn't have in our business life just a couple of months ago. And I think, as I told Dave, the most important thing for me is number one to make sure that our employees remain self safe and healthy. That's number one, And I think that as we experience negativity across the world of news and social media, etcetera, that my hope is that the community and the Susan family remain optimistic and you know, why do we have the ability to remain optimistic when everyone else is experiencing a lot of doom and gloom. One White House, because you rightly so said, Let me talk about Sousa and how we wouldn't in our community. Our thesis is the power of many. This power of many in a virtual community really drives innovation. We're not like proprietary software and many other tech companies where you have to resign the building to make sure that we maintain and evangelize innovation that you live and deliver to your customers. For us, it's very different. Our community is the basis for innovation. It's the pillar of our community, of our company, our ethos in our value. So it's Susa. This spirit of collaboration and integration is live today more than ever before, with 99% of our employees working from home being engaged a very different way than maybe they're used to. But not so unlike engaging the innovation that we get out of our community. I think you mentioned something else do that's really important. That's productivity. We've moved away as of the first of March and measuring productivity in exchange for measuring the way that we integrate and elaborate and engage with our place. So instead of productivity, we're measuring engagement. Our employees are becoming much more engaged with each other with our customers and our communities. And of course, our partners they're giving back to their community. They're measuring the engagement they're successful means of delivering or how much they can give back to their communities. So we've seen a huge rise and are employees giving back to their communities around them. For example, I met an employee who is donating a very big part of his bonus percentage to a hospital to pay for lunches for frontline health workers near his his home, our nerve of Germany office. They're giving their lunch vouchers and donating that to all of the homeless people around their community. And then we've got employees around Italy, one in particular that's created a virtual classroom for a son school and the community around him. So you know, everyone's really pitching in, I think finally, from a community perspective, we're also sponsoring a numerous amount of hackathons. For example, in Germany, the government has recently held a hackathon for community based solutions to combat code. In 19 our employees participated in engaged with their one day off. We give every employee one day off a year to engage for charitable cause and the results of this hackathon is a better understanding of the data per states about code in 19 across the country. So I think all in all, everything that we're doing is really trying to, you know, utilize the community as we always have, is open source. Open source is developed in a community that often times does not sit together. And now we're trying to really engage with that community as much as possible to keep innovation alive, to keep collaboration alive and not just for the purpose of innovation, but for the purpose of combating the virus and giving hope and first gratitude to this community and across all of our population across the world. I really do believe that in challenging times like today, it's the best way to realize the innovation that we can put together, triggering innovation for good. But also bringing out the best in humanity is it's amazing to see what you know. Thousands and thousands of people in the open source world are giving and delivering and collaborating in which to solve the worlds Problems Cove in 19 but also innovation problems for today and tomorrow >>Yeah, Melissa said some great stories that you have there, you know, we, of course, are huge supporters of communities in general. I've had a great pleasure not only recently but over the last 20 years, watching Linux communities on what's happening in open source. One of the key constituencies, obviously, to your audience, our developers. There are quite a few announcements that I talked about on the keynote stage was wondering if you could help walk through Ah, for our audience. You know, the primary announcements and especially, you know, the impact that it will have on the developer developer community. >>Yeah, that's right. So the developers are entranced, obviously, as part of Susa, where deep open source roots and they're ingrained in our culture. So we just recently focused on a new developer community with content specifically targeted to developer use cases for application platform offering. So over the next couple of months, we're gonna roll out content analytics, open source, Dev >>ops. All >>these things that you are sure loves to micro services, containers, kubernetes edge and and the like. So a lot of innovative technologies as our content. Now what we are offering in the developer community is the SuSE Cloud application platform developer sandbox. We wanted to make it easy for these developers who just spoke of to benefit from the best practices that evolved from the cloud native application delivery that we offer every day. Of course, the customers and now for free to our developers, we want them to be able to easier, easily apply their skills to create applications that can run anywhere, anywhere from on Prem Private Public Cloud and the access is and the developers to get access and hands on experience. That SuSE cloud application platform without having to spend all of their own environment is it is a big test or commitment to the developer community that can explore tests and develop without having any hardware services themselves. It's a really I've signed up myself. Hopefully, you will, too, and join the community and give some feedback and engage in this open source community. For developers, it's really important for everybody. You can find it at developer dot cisco dot com, in addition to the sandbox is I just mentioned you'll also find there are developer forums. It's got getting started guides and other useful examples of how to accelerate the adoption of the cloud application platform and all of the demo tools you can use. It's I can't express the importance enough that we put in place in our developers. Our developer community is a really important part to reach the innovation that we so hoped and live for every day. So we need to provide them the tools to be successful. So I think when you're gonna see Studio is a lot more engagement with our developer community and a lot more integration with them, a collaboration with them. As time goes on, it's a big part of our focus coming in now to 2020 and, of course, the second half of the year. >>So, Melissa, one of the other point that you made in your keynote is that Souza is now, you know, fully independent. It's always been an open source company, a long history there. But what does this one year of independence mean for your customers and that partner ecosystem? >>Yeah, it's a big deal for us, so it's a really big deal. We swung away from micro focus a year ago and mark so just now, Pastor, one year we're now in control of our destiny and the future is very, very bright. I think going forward in the next year, what you can expect from Susan is continued focus and support our customers, of course, the digital transformation efforts that we need to put into helping them go through this transformation. I saw a cartoon, You know, the other day everyone probably saw who's leading your digital transformation. Experts efforts your CEO, your see Iot or Corona virus. And I think we all agree that Corona viruses, but a new effort and focus on the digital transformation of our companies and our customers need to go through. So I think we need to be sure that with this new independence that we focus on that digital transformation effort. Couple that with our open source innovation and no matter where our customers are on their journey, that we give them the enabling tools to get there. We start with simplifying, modernizing and accelerating our customers journey, and you're gonna hear a lot about that in the keynote that I just did, um, simplifying first. So simplifying and optimizing our customer's applications and the data to exist in I T Environment. That's going to help them go on the journey to modernize, modernizing everything about the I T infrastructure as well as their legacy applications, to utilize modernizing, modernized technologies like containers or edge or cloud, or for the like. By simplifying and modernizing, our customers can then begin to accelerate. They can accelerate innovation. They can accelerate growth. They can accelerate delivery of whatever services and applications they want to deliver, for example, capabilities around AI and edge. And they can scale their companies to bring markets product to market faster and even at a lower cost. So I think when you think about Susan our independence, I want our customers to know and understand that our focus will always be to simplify, modernize and accelerate, but also to remain nimble, how our customers, our partners, our community, innovate faster based on customer business requirements and to solve problems of today and tomorrow, not just what we knew before. So we're much more connected with our customers and ever before, and we want to be able to offer them the flexibility that they heard that learned to love it. Enjoy from Susa more some now than ever our customers agenda. Su is our only agenda in a world where everyone wants to be the best at everything. The only thing we want to be number one with is customer satisfaction. We will say number one in the market because we love servicing our customers. We love being maniacally focused on our customers, needs their business problems and creating solutions that are tailored with services that make them more successful. I think you can expect Souza to enter new markets like powering, for example, autonomous vehicles with safety certified legs and other really innovative technologies that were developed every single day in our community with our developers to solve customer business problems. I say to the teams every day, you know, we're big enough for scale, and we're small enough to be nimble and to be flexible to service our customers first. So expecting that from Susa in our independence, but always, of course. >>Yeah, Melissa, you talk about things like ai and Ed and innovation, and you just brought up autonomous vehicles. So, you know, not only is a cool area, but really highlights uh, you know, a lot of these waves coming together. You announced up onstage. Really cool looking company. Electro bit. I noticed there, Green almost matched. Your companies do So. Tell us about this. This is a partnership. Why? It's important. And you know what? What others can learn about it. >>Yeah, sure. So Electra bit. We just partnered with that. Made the announcement today in the keynote there, the leading Internet global international provider of embedded software solutions for automotive. So it's a whole new area for US safety certified Linux is the first for Susan in this industry. I recently met virtually with Alexander coaching the CEO Electra bit to learn more about his company innovation, that we're gonna drive together. We've got a whole session at Susan Con Digital in the platform to talk about what we're doing with safety certified Lennox and what we're doing with Elektra bit. I can't wait to tell you more about, and I've got a 1 to 1 fireside chat with Alex, and I think you're gonna love to learn more about, you know, maybe something else. Wei mentioned in the keynote they may want to know about. And that's the artificial intelligence solution that I specifically talked about launching next quarter. This is I'm super excited about as well. I mean, it's really easy to be excited here, Susan, when you have constant rolling innovation in our community and delivering that to our customers. But this is also an exciting space. The solution that we're launching next quarter is going to benefit both data scientists and I t operations teams by simplifying the integration of key AI building blocks that are going to be required to develop quickly test and then deploy the next generation of intelligence solutions. So keep your eyes open for that to we're gonna have some game changing solutions for Susan and all of our customer promise ai solution next quarter. So two big announcements for us here exclusively. It's music on digital. I can't wait to share all the details Next order with AI, but also with Alex in the fireside chat I had with him during the week. >>Alright, So great, Melissa, A couple of big announcements that you talked about give >>us a >>little bit of a look forward. So, you know, you talked about what? One year of it, and it means what should people be looking at? What goals do you have for the community and the company actually look through the rest of 2020 >>as we look to the rest of 2020. I think, um, it's been a hard year already, and I couldn't have predicted when I took over a CEO of this great company nearly 10 months ago that we'd be having the hard times that we currently have. I can honestly say that there's no place I'd rather be. The fact that we are in the best company in the best industry, with open source at our roots at our heart that will never change but you can expect from us is consistent and constant innovation. You could look for us to be nimble, dependable. You can look for us for growth and there ever were a recession proof company that delivers the best solutions to our customers. I think Susie's in fact, I know it is. We're going to double in size and three years, so we're going to go from just under 1/2 a 1,000,000,000 to a 1,000,000,000 in revenue and what in three years time and we've got the constant trajectory and the means of which to do it. We're really looking from a strategic perspective. The rest of this year. How can we simplify, modernize, accelerate the solutions delivered to our customers to ensure we constantly focus on innovative technologies, keeping open source of value's and ethos to our core? And then also consider how do we ensure a safe, stable quality environment that's building on tools such as optimizing and automating their environment to get the best out of their technology stack? And that's when you should expect to see from some of the rest of this year as we go obviously into 2021. You're gonna want to watch the space to stay tuned for the look at Susa. We're growing like a rocket ship, and we have still intention of going through the crisis and, of course, going into the back half of 2020. But we're accelerating with pace going into 2021. >>Alright, well, Melissa, I'm definitely looking forward to talking to some of your customers, some of your partners in some of your team. So thanks again for joining us, definitely looking forward to catching up with you further down the line. >>I look forward to it. Thank you so much for the time today, and obviously the focus on, Susan. We're super excited to share where we're going, where we've come from and what the journey looks like Ahead. So thanks for the excitement that you're sharing with us throughout this week. Really appreciate you. Thank you. >>Alright. And be sure to stay with us. We've got wall to wall coverage Susic on digital money. Even if we're not at a physical event, we get to do them all remotely digitally. That global digital experience. I'm stew Minimum. And thank you for watching the Cube. >>Yeah, Yeah, yeah, yeah, yeah.

hello everybody and thank you for joining us today at the virtual Vertica BBC 2020 today's breakout session is entitled the road to autonomous database management how Domo is delivering SLA for less my name is su LeClair I'm the director of marketing at Vertica and I'll be your host for this webinar joining me is Ben white senior database engineer at Domo but before we begin I want to encourage you to submit questions or comments during the virtual session you don't have to wait just type your question or comment in the question box below the slides and click Submit there will be a Q&A session at the end of the presentation we'll answer as many questions as we're able to during that time any questions that we aren't able to address or drew our best to answer them offline alternatively you can visit vertical forums to post your questions there after the session our engineering team is planning to join the forum to keep the conversation going also as a reminder you can maximize your screen by clicking the double arrow button in the lower right corner of the slide and yes this virtual session is being recorded and will be available to view on demand this week we'll send you notification as soon as it's ready now let's get started then over to you greetings everyone and welcome to our virtual Vertica Big Data conference 2020 had we been in Boston the song you would have heard playing in the intro would have been Boogie Nights by heatwaves if you've never heard of it it's a great song to fully appreciate that song the way I do you have to believe that I am a genuine database whisperer then you have to picture me at 3 a.m. on my laptop tailing a vertical log getting myself all psyched up now as cool as they may sound 3 a.m. boogie nights are not sustainable they don't scale in fact today's discussion is really all about how Domo engineers the end of 3 a.m. boogie nights again well I am Ben white senior database engineer at Domo and as we heard the topic today the road to autonomous database management how Domo is delivering SLA for less the title is a mouthful in retrospect I probably could have come up with something snazzy er but it is I think honest for me the most honest word in that title is Road when I hear that word it evokes for me thoughts of the journey and how important it is to just enjoy it when you truly embrace the journey often you look up and wonder how did we get here where are we and of course what's next right now I don't intend to come across this too deep so I'll submit there's nothing particularly prescient and simply noticing the elephant in the room when it comes to database economy my opinion is then merely and perhaps more accurately my observation the office context imagine a place where thousands and thousands of users submit millions of ad-hoc queries every hour now imagine someone promised all these users that we could deliver bi leverage at cloud scale in record time I know what many of you should be thinking who in the world would do such a thing of course that news was well received and after the cheers from executives and business analysts everywhere and chance of Keep Calm and query on finally started to subside someone that turns an ass that's possible we can do that right except this is no imaginary place this is a very real challenge we face the demo through imaginative engineering demo continues to redefine what's possible the beautiful minds at Domo truly embrace the database engineering paradigm that one size does not fit all that little philosophical nugget is one I would pick up while reading the white papers and books of some guy named stone breaker so to understand how I and by extension Domo came to truly value analytic database administration look no further than that philosophy and what embracing it would mean it meant really that while others were engineering skyscrapers we would endeavor to build Datta neighborhoods with a diverse kapala G of database configuration this is where our journey at Domo really gets under way without any purposeful intent to define our destination not necessarily thinking about database as a service or anything like that we had planned this ecosystem of clusters capable of efficiently performing varied workloads we achieve this with custom configurations for node count resource pool configuration parameters etc but it also meant concerning ourselves with the unattended consequences of our ambition the impact of increased DDL activities on the catalog system overhead in general what would be the management requirements of an ever-evolving infrastructure we would be introducing multiple points of failure what are the advantages the disadvantages those types of discussions and considerations really help to define what would be the basic characteristics of our system the database itself needed to be trivial redundant potentially ephemeral customizable and above all scalable and we'll get more into that later with this knowledge of what we were getting into automation would have to be an integral part of development one might even say automation will become the first point of interest on our journey now using popular DevOps tools like saltstack terraform ServiceNow everything would be automated I mean it discluded everything from larger multi-step tasks like database designs database cluster creation and reboots to smaller routine tasks like license updates move-out and projection refreshes all of this cool automation certainly made it easier for us to respond to problems within the ecosystem these methods alone still if our database administration reactionary and reacting to an unpredictable stream of slow query complaints is not a good way to manage a database in fact that's exactly how three a.m. Boogie Nights happen and again I understand there was a certain appeal to them but ultimately managing that level of instability is not sustainable earlier I mentioned an elephant in the room which brings us to the second point of interest on our road to autonomy analytics more specifically analytic database administration why our analytics so important not just in this case but generally speaking I mean we have a whole conference set up to discuss it domo itself is self-service analytics the answer is curiosity analytics is the method in which we feed the insatiable human curiosity and that really is the impetus for analytic database administration analytics is also the part of the road I like to think of as a bridge the bridge if you will from automation to autonomy and with that in mind I say to you my fellow engineers developers administrators that as conductors of the symphony of data we call analytics we have proven to be capable producers of analytic capacity you take pride in that and rightfully so the challenge now is to become more conscientious consumers in some way shape or form many of you already employ some level of analytics to inform your decisions far too often we are using data that would be categorized as nagging perhaps you're monitoring slow queries in the management console better still maybe you consult the workflows analyzing how about a logging and alerting system like sumo logic if you're lucky you do have demo where you monitor and alert on query metrics like this all examples of analytics that help inform our decisions being a Domo the incorporation of analytics into database administration is very organic in other words pretty much company mandated as a company that provides BI leverage a cloud scale it makes sense that we would want to use our own product could be better at the business of doma adoption of stretches across the entire company and everyone uses demo to deliver insights into the hands of the people that need it when they need it most so it should come as no surprise that we have from the very beginning use our own product to make informed decisions as it relates to the application back engine in engineering we call it our internal system demo for Domo Domo for Domo in its current iteration uses a rules-based engine with elements through machine learning to identify and eliminate conditions that cause slow query performance pulling data from a number of sources including our own we could identify all sorts of issues like global query performance actual query count success rate for instance as a function of query count and of course environment timeout errors this was a foundation right this recognition that we should be using analytics to be better conductors of curiosity these types of real-time alerts were a legitimate step in the right direction for the engineering team though we saw ourselves in an interesting position as far as demo for demo we started exploring the dynamics of using the platform to not only monitor an alert of course but to also triage and remediate just how much economy could we give the application what were the pros and cons of that Trust is a big part of that equation trust in the decision-making process trust that we can mitigate any negative impacts and Trust in the very data itself still much of the data comes from systems that interacted directly and in some cases in directly with the database by its very nature much of the data was past tense and limited you know things that had already happened without any reference or correlation to the condition the mayor to those events fortunately the vertical platform holds a tremendous amount of information about the transaction it had performed its configurations the characteristics of its objects like tables projections containers resource pools etc this treasure trove of metadata is collected in the vertical system tables and the appropriately named data collector tables as a version 9 3 there are over 190 tables that define the system tables while the data collector is the collection of 215 components a rich collection can be found in the vertical system tables these tables provide a robust stable set of views that let you monitor information about your system resources background processes workload and performance allowing you to more efficiently profile diagnose and correlate historical data such as low streams query profiles to pool mover operations and more here you see a simple query to retrieve the names and descriptions of the system tables and an example of some of the tables you'll find the system tables are divided into two schemas the catalog schema contains information about persistent objects and the monitor schema tracks transient system States most of the tables you find there can be grouped into the following areas system information system resources background processes and workload and performance the Vertica data collector extends system table functionality by gathering and retaining aggregating information about your database collecting the data collector mixes information available in system table a moment ago I show you how you get a list of the system tables in their description but here we see how to get that information for the data collector tables with data from the data collecting tables in the system tables we now have enough data to analyze that we would describe as conditional or leading data that will allow us to be proactive in our system management this is a big deal for Domo and particularly Domo for demo because from here we took the critical next step where we analyze this data for conditions we know or suspect lead to poor performance and then we can suggest the recommended remediation really for the first time we were using conditional data to be proactive in a database management in record time we track many of the same conditions the Vertica support analyzes via scrutinize like tables with too many production or non partition fact tables which can negatively affect query performance and life in vertical in viral suggests if the table has a data a time step column you recommend the partitioning by the month we also can track catalog sizes percentage of total memory and alert thresholds and trigger remediations requests per hour is a very important metric in determining when a trigger are scaling solution tracking memory usage over time allows us to adjust resource pool parameters to achieve the optimal performance for the workload of course the workload analyzer is a great example of analytic database administration I mean from here one can easily see the logical next step where we were able to execute these recommendations manually or automatically be of some configuration parameter now when I started preparing for this discussion this slide made a lot of sense as far as the logical next iteration for the workload analyzing now I left it in because together with the next slide it really illustrates how firmly Vertica has its finger on the pulse of the database engineering community in 10 that OS management console tada we have the updated work lies will load analyzer we've added a column to show tuning commands the management console allows the user to select to run certain recommendations currently tuning commands that are louder and alive statistics but you can see where this is going for us using Domo with our vertical connector we were able to then pull the metadata from all of our clusters we constantly analyze that data for any number of known conditions we build these recommendations into script that we can then execute immediately the actions or we can save it to a later time for manual execution and as you would expect those actions are triggered by thresholds that we can set from the moment nyan mode was released to beta our team began working on a serviceable auto-scaling solution the elastic nature of AI mode separated store that compute clearly lent itself to our ecosystems requirement for scalability in building our system we worked hard to overcome many of the obstacles they came with the more rigid architecture of enterprise mode but with the introduction is CRM mode we now have a practical way of giving our ecosystem at Domo the architectural elasticity our model requires using analytics we can now scale our environment to match demand what we've built is a system that scales without adding management overhead or our necessary cost all the while maintaining optimal performance well we're really this is just our journey up to now and which begs the question what's next for us we expand the use of Domo for Domo within our own application stack maybe more importantly we continue to build logic into the tools we have by bringing machine learning and artificial intelligence to our analysis and decision making really do to further illustrate those priorities we announced the support for Amazon sage maker autopilot at our demo collusive conference just a couple of weeks ago for vertical the future must include in database economy the enhanced capabilities in the new management console to me are clear nod to that future in fact with a streamline and lightweight database design process all the pieces should be in place versions deliver economists database management itself we'll see well I would like to thank you for listening and now of course we will have a Q&A session hopefully very robust thank you [Applause]

hi everybody thank you for joining us today for the virtual Vertica BBC 2020 today's breakout session is entitled Vertica and en mode at the trade desk my name is su LeClair director of marketing at Vertica and I'll be your host for this webinar joining me is Ron Cormier senior Vertica database engineer at the trade desk before we begin I encourage you to submit questions or comments during the virtual session you don't have to wait just type your question or comment in the question box below the slides and click submit there will be a Q&A session at the end of the presentation we'll answer as many questions as we're able to during that time any questions that we don't address we'll do our best to answer them offline alternatively you can visit vertical forums to post your questions there after the session our engineering team is planning to join the forums to keep the conversation going also a quick reminder that you can maximize your screen by clicking the double arrow button in the lower right corner of the slide and yes this virtual session is being recorded and will be available to view on demand this week we'll send you a notification as soon as it's ready so let's get started over to you run thanks - before I get started I'll just mention that my slide template was created before social distancing was a thing so hopefully some of the images will harken us back to a time when we could actually all be in the same room but with that I want to get started uh the date before I get started in thinking about the technology I just wanted to cover my background real quick because I think it's peach to where we're coming from with vertically on at the trade desk and I'll start out just by pointing out that prior to my time in the trade desk I was a tech consultant at HP HP America and so I traveled the world working with Vertica customers helping them configure install tune set up their verdict and databases and get them working properly so I've seen the biggest and the smallest implementations and everything in between and and so now I'm actually principal database engineer straight desk and and the reason I mentioned this is to let you know that I'm a practitioner I'm working with with the product every day or most days this is a marketing material so hopefully the the technical details in this presentation are are helpful I work with Vertica of course and that is most relative or relevant to our ETL and reporting stack and so what we're doing is we're taking about the data in the Vertica and running reports for our customers and we're an ad tech so I did want to just briefly describe what what that means and how it affects our implementation so I'm not going to cover the all the details of this slide but basically I want to point out that the trade desk is a DSP it's a demand-side provider and so we place ads on behalf of our customers or agencies and ad agencies and their customers that are advertised as brands themselves and the ads get placed on to websites and mobile applications and anywhere anywhere digital advertising happens so publishers are what we think ocean like we see here espn.com msn.com and so on and so every time a user goes to one of these sites or one of these digital places and an auction takes place and what people are bidding on is the privilege of showing and add one or more ads to users and so this is this is really important because it helps fund the internet ads can be annoying sometimes but they actually help help are incredibly helpful in how we get much much of our content and this is happening in real time at very high volumes so on the open Internet there is anywhere from seven to thirteen million auctions happening every second of those seven to thirteen million auctions happening every second the trade desk bids on hundreds of thousands per second um so that gives it and anytime we did we have an event that ends up in Vertica that's that's one of the main drivers of our data volume and certainly other events make their way into Vertica as well but that wanted to give you a sense of the scale of the data and sort of how it's impacting or how it is impacted by sort of real real people in the world so um the uh let's let's take a little bit more into the workload and and we have the three B's in spades late like many many people listening to a massive volume velocity and variety in terms of the data sizes I've got some information here some stats on on the raw data sizes that we deal with on a daily basis per day so we ingest 85 terabytes of raw data per day and then once we get it into Vertica we do some transformations we do matching which is like joins basically and we do some aggregation group buys to reduce the data and make it clean it up make it so it's more efficient to consume buy our reporting layer so that matching in aggregation produces about ten new terabytes of raw data per day it all comes from the it all comes from the data that was ingested but it's new data and so that's so it is reduced quite a bit but it's still pretty pretty high high volume and so we have this aggregated data that we then run reports on on behalf of our customers so we have about 40,000 reports per day oh that's probably that's actually a little bit old and older number it's probably closer to 50 or 55,000 reports per day at this point so it's I think probably a pretty common use case for for Vertica customers it's maybe a little different in the sense that most of the reports themselves are >> reports so they're not it's not a user sitting at a keyboard waiting for the result basically we have we we have a workflow where we do the ingest we do this transform and then and then once once all the data is available for a day we run reports on behalf of our customer to let me have our customers on that that daily data and then we send the reports out you via email or we drop them in a shared location and then they they look at the reports at some later point of time so it's up until yawn we did all this work on on enterprise Vertica at our peak we had four production enterprise clusters each which held two petabytes of raw data and I'll give you some details on on how those enterprise clusters were configured in the hardware but before I do that I want to talk about the reporting workload specifically so the the reporting workload is particularly lumpy and what I mean by that is there's a bunch of work that becomes available bunch of queries that we need to run in a short period of time after after the days just an aggregation is completed and then the clusters are relatively quiet for the remaining portion of the day that's not to say they are they're not doing anything as far as read workload but they certainly are but it's much less reactivity after that big spike so what I'm showing here is our reporting queue and the spike is is when all those reports become a bit sort of ailable to be processed we can't we can't process we can't run the report until we've done the full ingest and matching and aggregation for the day and so right around 1:00 or 2:00 a.m. UTC time every day that's when we get this spike and the spike we affectionately called the UTC hump but basically it's a huge number of queries that need to be processed sort of as soon as possible and we have service levels that dictate what as soon as possible means but I think the spike illustrates our use case pretty pretty accurately and um it really as we'll see it's really well suited for pervert icky on and we'll see what that means so we've got our we had our enterprise clusters that I mentioned earlier and just to give you some details on what they look like there they were independent and mirrored and so what that means is all four clusters held the same data and we did this intentionally because we wanted to be able to run our report anywhere we so so we've got this big queue over port is big a number of reports that need to be run and we've got these we started we started with one cluster and then we got we found that it couldn't keep up so we added a second and we found the number of reports went up that we needed to run that short period of time and and so on so we eventually ended up with four Enterprise clusters basically with this with the and we'd say they were mirrored they all had the same data they weren't however synchronized they were independent and so basically we would run the the tailpipe line so to speak we would run ingest and the matching and the aggregation on all the clusters in parallel so they it wasn't as if each cluster proceeded to the next step in sync with which dump the other clusters they were run independently so it was sort of like each each cluster would eventually get get consistent and so this this worked pretty well for for us but it created some imbalances and there was some cost concerns that will dig into but just to tell you about each of these each of these clusters they each had 50 nodes they had 72 logical CPU cores a half half a terabyte of RAM a bunch of raid rated disk drives and 2 petabytes of raw data as I stated before so pretty big beefy nodes that are physical physical nodes that we held we had in our data centers we actually reached these nodes so so it was on our data center providers data centers and the these were these these were what we built our business on basically but there was a number of challenges that we ran into as we as we continue to build our business and add data and add workload and and the first one is is some in ceremony can relate to his capacity planning so we had to prove think about the future and try to predict the amount of work that was going to need to be done and how much hardware we were going to need to satisfy that work to meet that demand and that's that's just generally a hard thing to do it's very difficult to verdict the future as we can probably all attest to and how much the world has changed and even in the last month so it's a it's a very difficult thing to do to look six twelve eighteen eighteen months into the future and sort of get it right and and and what people what we tended to do is we reach or we tried to our art plans our estimates were very conservative so we overbought in a lot of cases and not only that we had to plan for the peak so we're planning for that that that point in time that those number of hours in the early morning when we had to we had all those reports to run and so that so so we ended up buying a lot of hardware and we actually sort of overbought at times and then and then as the hardware were days it would kind of come into it would come into maturity and we have our our our workload would sort of come approach matching the demand so that was one of the big challenges the next challenge is that we were running on disk you can we wanted to add data in sort of two dimensions the only dimensions that everybody can think about we wanted to add more columns to our big aggregates and we wanted to keep our big aggregates for for longer periods of time so both horizontally and vertically we wanted to expand the datasets but we basically were running out of disk there was no more disk in and it's hard to add a disc to Vertica in enterprise mode not not impossible but certainly hard and and one cannot add discs without adding compute because enterprise mode the disk is all local to each of the nodes for most most people you can do not exchange with sands and other external rays but that's there are a number of other challenges with that so um adding in order to add disk we had to add compute and that basically meant kept us out of balance we're adding more compute than we needed for the amount of disk so that was the problem certainly physical nodes getting them the order delivered racked cables even before we even start such Vertica there's lead times there and and so it's also long commitment since we like I mentioned me Lisa hardware so we were committing to these nodes these physical servers for two or three years at a time and I mentioned that can be a hard thing to do but we wanted to least to keep our capex down so we wanted to keep our aggregates for a long period of time we could have done crazy things or more exotic things to to help us with this if we had to in enterprise mode we could have started to like daisy chain clusters together and that would have been sort of a non-trivial engineering effort because we would need to then figure out how to migrate data source first to recharge the data across all the clusters and we had to migrate data from one cluster to another cluster hesitation and we would have to think about how to aggregate run queries across clusters so if you assured data set spans two clusters it would have had to sort of aggregated within each cluster maybe and then build something on top the aggregated the data from each of those clusters so not impossible things but certainly not easy things and luckily for us we started talking about two Vertica about separation of compute and storage and I know other customers were talking to Vertica as we were people had had these problems and so Vertica inyeon mode came to the rescue and what I want to do is just talk about nyan mode really briefly for for those in the audience who aren't familiar but it's basically Vertigo's answered to the separation of computing storage it allows one to scale compute and or storage separately and and this there's a number of advantages to doing that whereas in the old enterprise days when you add a compute you added stores and vice-versa now we can now we can add one or the other or both according to how we want to and so really briefly how this works this slide this figure was taken directly from the verdict and documentation and so just just to talk really briefly about how it works the taking advantage of the cloud and so in this case Amazon Web Services the elasticity in the cloud and basically we've got you seen two instances so elastic cloud compute servers that access data that's in an s3 bucket and so three three ec2 nodes and in a bucket or the the blue objects in this diagram and the difference is a couple of a couple of big differences one the data no longer the persistent storage of the data the data where the data lives is no longer on each of the notes the persistent stores of the data is in s3 bucket and so what that does is it basically solves one of our first big problems which is we were running out of disk the s3 has for all intensive purposes infinite storage so we can keep much more data there and that mostly solved one of our big problems so the persistent data lives on s3 now what happens is when a query runs it runs on one of the three nodes that you see here and assuming we'll talk about depo in a second but what happens in a brand new cluster where it's just just spun up the hardware is the query will will run on those ec2 nodes but there will be no data so those nodes will reach out to s3 and run the query on remote storage so that so the query that the nodes are literally reaching out to the communal storage for the data and processing it entirely without using any data on on the nodes themselves and so that that that works pretty well it's not as fast as if the data was local to the nodes but um what Vertica did is they built a caching layer on on each of the node and that's what the depot represents so the depot is some amount of disk that is relatively local to the ec2 node and so when the query runs on remote stores on the on the s3 data it then queues up the data for download to the nodes and so the data will get will reside in the Depot so that the next query or the subsequent subsequent queries can run on local storage instead of remote stores and that speeds things up quite a bit so that that's that's what the role of the Depot is the depot is basically a caching layer and we'll talk about the details of how we can see your in our Depot the other thing that I want to point out is that since this is the cloud another problem that helps us solve is the concurrency problem so you can imagine that these three nodes are one sort of cluster and what we can do is we can spit up another three nodes and have it point to the same s3 communal storage bucket so now we've got six nodes pointing to the same data but we've you isolated each of the three nodes so that they act as if they are their own cluster and so vertical calls them sub-clusters so we've got two sub clusters each of which has three nodes and what this has essentially done it is it doubled the concurrency doubled the number of queries that can run at any given time because we've now got this new place which new this new chunk of compute which which can answer queries and so that has given us the ability to add concurrency much faster and I'll point out that for since it's cloud and and there are on-demand pricing models we can have significant savings because when a sub cluster is not needed we can stop it and we pay almost nothing for it so that's that's really really important really helpful especially for our workload which I pointed out before was so lumpy so those hours of the day when it's relatively quiet I can go and stop a bunch of sub clusters and and I will pay for them so that that yields nice cost savings let's be on in a nutshell obviously engineers and the documentation can use a lot more information and I'm happy to field questions later on as well but I want to talk about how how we implemented beyond at the trade desk and so I'll start on the left hand side at the top the the what we're representing here is some clusters so there's some cluster 0 r e t l sub cluster and it is a our primary sub cluster so when you get into the world of eon there's primary Club questions and secondary sub classes and it has to do with quorum so primary sub clusters are the sub clusters that we always expect to be up and running and they they contribute to quorum they decide whether there's enough instances number a number of enough nodes to have the database start up and so these this is where we run our ETL workload which is the ingest the match in the aggregate part of the work that I talked about earlier so these nodes are always up and running because our ETL pipeline is always on we're internet ad tech company like I mentioned and so we're constantly getting costly running ad and there's always data flowing into the system and the matching is happening in the aggregation so that part happens 24/7 and we wanted so that those nodes will always be up and running and we need this we need that those process needs to be super efficient and so what that is reflected in our instance type so each of our sub clusters is sixty four nodes we'll talk about how we came at that number but the infant type for the ETL sub cluster the primary subclusters is I 3x large so that is one of the instance types that has quite a bit of nvme stores attached and we'll talk about that but on 32 cores 240 four gigs of ram on each node and and that what that allows us to do I should have put the amount of nvme but I think it's seven terabytes for anything me storage what that allows us to do is to basically ensure that our ETL everything that this sub cluster does is always in Depot and so that that makes sure that it's always fast now when we get to the secondary subclusters these are as mentioned secondary so they can stop and start and it won't affect the cluster going up or down so they're they're sort of independent and we've got four what we call Rhian subclusters and and they're not read by definition or technically they're not read only any any sub cluster can ingest and create your data within the database and that'll all get that'll all get pushed to the s3 bucket but logically for us they're read only like these we just most of these the work that they happen to do is read only which it is which is nice because if it's read only it doesn't need to worry about commits and we let we let the primary subclusters or ETL so close to worry about committing data and we don't have to we don't have to have the all nodes in the database participating in transaction commits so we've got a for read subclusters and we've got one EP also cluster so a total of five sub clusters each so plus they're running sixty-four nodes so that gives us a 320 node database all things counted and not all those nodes are up at the same time as I mentioned but often often for big chunks of the days most of the read nodes are down but they do all spin up during our during our busy time so for the reading so clusters we've got I three for Excel so again the I three incidents family type which has nvme stores these notes have I think three and a half terabytes of nvme per node we just rate it to nvme drives we raid zero them together and 16 cores 122 gigs of ram so these are smaller you'll notice but it works out well for us because the the read workload is is typically dealing with much smaller data sets than then the ingest or the aggregation workbook so we can we can run these workloads on on smaller instances and leave a little bit of money and get more granularity with how many sub clusters are stopped and started at any given time the nvme doesn't persist the data on it isn't persisted remember you stop and start this is an important detail but it's okay because the depot does a pretty good job in that in that algorithm where it pulls data in that's recently used and the that gets pushed out a victim is the data that's least reasons use so it was used a long time ago so it's probably not going to be used to get so we've got um five sub-clusters and we have actually got to two of those so we've got a 320 node cluster in u.s. East and a 320 node cluster in u.s. West so we've got a high availability region diversity so and their peers like I talked about before they're they're independent but but yours they are each run 128 shards and and so with that what that which shards are is basically the it's similar to segmentation when you take those dataset you divide it into chunks and though and each sub cluster can concede want the data set in its entirety and so each sub cluster is dealing with 128 shards it shows 128 because it'll give us even distribution of the data on 64 node subclusters 60 120 might evenly by 64 and so there's so there's no data skew and and we chose 128 because the sort of ginger proof in case we wanted to double the size of any of the questions we can double the number of notes and we still have no excuse the data would be distributed evenly the disk what we've done is so we've got a couple of raid arrays we've got an EBS based array that they're catalog uses so the catalog storage location and I think we take for for EBS volumes and raid 0 them together and come up with 128 gigabyte Drive and we wanted an EPS for the catalog because it we can stop and start nodes and that data will persist it will come back when the node comes up so we don't have to run a bunch of configuration when the node starts up basically the node starts it automatically joins the cluster and and very strongly there after it starts processing work let's catalog and EBS now the nvme is another raid zero as I mess with this data and is ephemeral so let me stop and start it goes away but basically we take 512 gigabytes of the nvme and we give it to the data temp storage location and then we take whatever is remaining and give it to the depot and since the ETL and the reading clusters are different instance types they the depot is is side differently but otherwise it's the same across small clusters also it all adds up what what we have is now we we stopped the purging data for some of our big a grits we added bunch more columns and what basically we at this point we have 8 petabytes of raw data in each Jian cluster and it is obviously about 4 times what we can hold in our enterprise classes and we can continue to add to this maybe we need to add compute maybe we don't but the the amount of data that can can be held there against can obviously grow much more we've also built in auto scaling tool or service that basically monitors the queue that I showed you earlier monitors for those spikes I want to see as low spikes it then goes and starts up instances one sub-collector any of the sub clusters so that's that's how that's how we we have compute match the capacity match that's the demand also point out that we actually have one sub cluster is a specialized nodes it doesn't actually it's not strictly a customer reports sub clusters so we had this this tool called planner which basically optimizes ad campaigns for for our customers and we built it it runs on Vertica uses data and Vertica runs vertical queries and it was it was wildly successful um so we wanted to have some dedicated compute and beyond witty on it made it really easy to basically spin up one of these sub clusters or new sub cluster and say here you go planner team do what you want you can you can completely maximize the resources on these nodes and it won't affect any of the other operations that were doing the ingest the matching the aggregation or the reports up so it gave us a great deal of flexibility and agility which is super helpful so the question is has it been worth it and without a doubt the answer is yes we're doing things that we never could have done before sort of with reasonable cost we have lots more data specialized nodes and more agility but how do you quantify that because I don't want to try to quantify it for you guys but it's difficult because each eon we still have some enterprise nodes by the way cost as you have two of them but we also have these Eon clusters and so they're there they're running different workloads the aggregation is different the ingest is running more on eon does the number of nodes is different the hardware is different so there are significant differences between enterprise and and beyond and when we combine them together to do the entire workload but eon is definitely doing the majority of the workload it has most of the data it has data that goes is much older so it handles the the heavy heavy lifting now the query performance is more anecdotal still but basically when the data is in the Depot the query performance is very similar to enterprise quite close when the data is not in Depot and it needs to run our remote storage the the query performance is is is not as good it can be multiples it's not an order not orders of magnitude worse but certainly multiple the amount of time that it takes to run on enterprise but the good news is after the data downloads those young clusters quickly catch up as the cache populates there of cost I'd love to be able to tell you that we're running to X the number of reports or things are finishing 8x faster but it's not that simple as you Iran is that you it is me I seem to have gotten to thank you you hear me okay I can hear you now yeah we're still recording but that's fine we can edit this so if I'm just talking to the person the support person he will extend our recording time so if you want to maybe pick back up from the beginning of the slide and then we'll just edit out this this quiet period that we have sir okay great I'm going to go back on mute and why don't you just go back to the previous slide and then come into this one again and I'll make sure that I tell the person who yep perfect and then we'll continue from there is that okay yeah sound good all right all right I'm going back on yet so the question is has it been worth it and for us the answer has been a resounding yes we're doing things that we never could have done at reasonable cost before and we got more data we've got this Y note this law has nodes and in work we're much more agile so how to quantify that um well it's not quite as simple and straightforward as you might hope I mean we still have enterprise clusters we've got to update the the four that we had at peak so we've still got two of those around and we got our two yawn clusters but they're running different workloads and they're comprised of entirely different hardware the dependence has I've covered the number of nodes is different for sub-clusters so 64 versus 50 is going to have different performance the the workload itself the aggregation is aggregating more columns on yon because that's where we have disk available the queries themselves are different they're running more more queries on more intensive data intensive queries on yon because that's where the data is available so in a sense it is Jian is doing the heavy lifting for the cluster for our workload in terms of query performance still a little anecdotal but like when the queries that run on the enterprise cluster the performance matches that of the enterprise cluster quite closely when the data is in the Depot when the data is not in a Depot and Vertica has to go out to the f32 to get the data performance degrades as you might expect it can but it depends on the curious all things like counts counts are is really fast but if you need lots of the data from the material others to realize lots of columns that can run slower I'm not orders of magnitude slower but certainly multiple of the amount of time in terms of costs anecdotal will give a little bit more quantifying here so what I try to do is I try to figure out multiply it out if I wanted to run the entire workload on enterprise and I wanted to run the entire workload on e on with all the data we have today all the queries everything and to try to get it to the Apple tab so for enterprise the the and estimate that we do need approximately 18,000 cores CPU cores all together and that's a big number but that's doesn't even cover all the non-trivial engineering work that would need to be required that I kind of referenced earlier things like starting the data among multiple clusters migrating the data from one culture to another the daisy chain type stuff so that's that's the data point now for eon is to run the entire workload estimate we need about twenty thousand four hundred and eighty CPU cores so more CPU cores uh then then enterprise however about half of those and partly ten thousand of both CPU cores would only run for about six hours per day and so with the on demand and elasticity of the cloud that that is a huge advantage and so we are definitely moving as fast as we can to being on all Aeon we have we have time left on our contract with the enterprise clusters or not we're not able to get rid of them quite yet but Eon is certainly the way of the future for us I also want to point out that uh I mean yawn is we found to be the most efficient MPP database on the market and what that refers to is for a given dollar of spend of cost we get the most from that zone we get the most out of Vertica for that dollar compared to other cloud and MPP database platforms so our business is really happy with what we've been able to deliver with Yan Yan has also given us the ability to begin a new use case which is probably this case is probably pretty familiar to folks on the call where it's UI based so we'll have a website that our customers can log into and on that website they'll be able to run reports on queries through the website and have that run directly on a separate row to get beyond cluster and so much more latent latency sensitive and concurrency sensitive so the workflow that I've described up until this point has been pretty steady throughout the day and then we get our spike and then and then it goes back to normal for the rest of the day this workload it will be potentially more variable we don't know exactly when our engineers are going to deliver some huge feature that is going to make a 1-1 make a lot of people want to log into the website and check how their campaigns are doing so we but Yohn really helps us with this because we can add a capacity so easily we cannot compute and we can add so we can scale that up and down as needed and it allows us to match the concurrency so beyond the concurrency is much more variable we don't need a big long lead time so we're really excited about about this so last slide here I just want to leave you with some things to think about if you're about to embark or getting started on your journey with vertically on one of the things that you'll have to think about is the no account in the shard count so they're kind of tightly coupled the node count we determined by figuring like spinning up some instances in a single sub cluster and getting performance smaller to finding an acceptable performance considering current workload future workload for the queries that we had when we started and so we went with 64 we wanted to you want to certainly want to increase over 50 but we didn't want to have them be too big because of course it costs money and so what you like to do things in power to so 64 nodes and then the shard count for the shards again is like the data segmentation is a new type of segmentation on the data and the start out we went with 128 it began the reason is so that we could have no skew but you know could process the same same amount of data and we wanted to future-proof it so that's probably it's probably a nice general recommendation doubleness account for the nodes the instance type and and how much people space those are certainly things you're going to consider like I was talking about we went for they I three for Excel I 3/8 Excel because they offer good good Depot stores which gives us a really consistent good performance and it is all in Depot the pretty good mud presentation and some information on on I think we're going to use our r5 or the are for instance types for for our UI cluster so much less the data smaller so much less enter this on Depot so we don't need on that nvm you stores the reader we're going to want to have a reserved a mix of reserved and on-demand instances if you're if you're 24/7 shop like we are like so our ETL subclusters those are reserved instances because we know we're going to run those 24 hours a day 365 days a year so there's no advantage of having them be on-demand on demand cost more than reserve so we get cost savings on on figuring out what we're going to run and have keep running and it's the read subclusters that are for the most part on on demand we have one of our each sub Buster's is actually on 24/7 because we keep it up for ad-hoc queries your analyst queries that we don't know when exactly they're going to hit and they want to be able to continue working whenever they want to in terms of the initial data load the initial data ingest what we had to do and now how it works till today is you've got to basically load all your data from scratch there isn't a great tooling just yet for data populate or moving from enterprise to Aeon so what we did is we exported all the data in our enterprise cluster into park' files and put those out on s3 and then we ingested them into into our first Eon cluster so it's kind of a pain we script it out a bunch of stuff obviously but they worked and the good news is that once you do that like the second yon cluster is just a bucket copy in it and so there's tools missions that can help help with that you're going to want to manage your fetches and addiction so this is the data that's in the cache is what I'm referring to here the data that's in the default and so like I talked about we have our ETL cluster which has the most recent data that's just an injected and the most difficult data that's been aggregated so this really recent data so we wouldn't want anybody logging into that ETL cluster and running queries on big aggregates to go back one three years because that would invalidate the cache the depot would start pulling in that historical data and it was our assessing that historical data and evicting the recent data which would slow things out flow down that ETL pipelines so we didn't want that so we need to make sure that users whether their service accounts or human users are connecting to the right phone cluster and I mean we just created the adventure users with IPS and target groups to palm those pretty-pretty it was definitely something to think about lastly if you're like us and you're going to want to stop and start nodes you're going to have to have a service that does that for you we're where we built this very simple tool that basically monitors the queue and stops and starts subclusters accordingly we're hoping that that we can work with Vertica to have it be a little bit more driven by the cloud configuration itself so for us all amazon and we love it if we could have it have a scale with the with the with the eight of us can take through points do things to watch out for when when you're working with Eon is the first is system table queries on storage layer or metadata and the thing to be careful of is that the storage layer metadata is replicated it's caught as a copy for each of the sub clusters that are out there so we have the ETL sub cluster and our resources so for each of the five sub clusters there is a copy of all the data in storage containers system table all the data and partitions system table so when you want to use this new system tables for analyzing how much data you have or any other analysis make sure that you filter your query with a node name and so for us the node name is less than or equal to 64 because each of our sub clusters at 64 so we limit we limit the nodes to the to the 64 et 64 node ETL collector otherwise if we didn't have this filter we would get 5x the values for counts and some sort of stuff and lastly there is a problem that we're kind of working on and thinking about is a DC table data for sub clusters that are our stops when when the instances stopped literally the operating system is down and there's no way to access it so it takes the DC table DC table data with it and so I cannot after after my so close to scale up in the morning and then they scale down I can't run DC table queries on how what performed well and where and that sort of stuff because it's local to those nodes so we're working on something so something to be aware of and we're working on a solution or an implementation to try to suck that data out of all the notes you can those read only knows that stop and start all the time and bring it in to some other kind of repository perhaps another vertical cluster so that we can run analysis and monitoring even you want those those are down that's it um thanks for taking the time to look into my presentation really do it thank you Ron that was a tremendous amount of information thank you for sharing that with everyone um we have some questions come in that I would like to present to you Ron if you have a couple min it your first let's jump right in the first one a loading 85 terabytes per day of data is pretty significant amount what format does that data come in and what does that load process look like yeah a great question so the format is a tab separated files that are Jesus compressed and the reason for that could basically historical we don't have much tabs in our data and this is how how the data gets compressed and moved off of our our bidders the things that generate most of this data so it's a PSD gzip compressed and how you kind of we kind of have how we load it I would say we have actually kind of a Cadillac loader in a couple of different perspectives one is um we've got this autist raishin layer that's homegrown managing the logs is the data that gets loaded into Vertica and so we accumulate data and then we take we take some some files and we push them to redistribute them along the ETL nodes in the cluster and so we're literally pushing the file to through the nodes and we then run a copy statement to to ingest data in the database and then we remove the file from from the nodes themselves and so it's a little bit extra data movement which you may think about changing in the future assisting we move more and more to be on well the really nice thing about this especially for for the enterprise clusters is that the copy' statements are really fast and so we the coffee statements use memory but let's pick any other query but the performance of the cautery statement is really sensitive to the amount of available memory and so since the data is local to the nodes literally in the data directory that I referenced earlier it can access that data from the nvme stores and the kabhi statement runs very fast and then that memory is available to do something else and so we pay a little bit of cost in terms of latency and in terms of downloading the data to the nose we might as we move more and more PC on we might start ingesting it directly from s3 not copying the nodes first we'll see about that what's there that's how that's how we read the data interesting works great thanks Ron um another question what was the biggest challenge you found when migrating from on-prem to AWS uh yeah so um a couple of things that come to mind the first was the baculum the data load it was kind of a pain I mean like I referenced in that last slide only because I mean we didn't have tools built to do this so I mean we had to script some stuff out and it wasn't overly complex but yes it's just a lot of data to move I mean even with starting with with two petabytes so making sure that there there is no missed data no gaps making and moving it from the enterprise cluster so what we did is we exported it to the local disk on the enterprise buses and we then we push this history and then we ingested it in ze on again Allspark X oh so it's a lot of days to move around and I mean we have to you have to take an outage at some point stop loading data while we do that final kiss-up phase and so that was that was a challenge a sort of a one-time challenge the other saying that I mean we've been dealing with a week not that we're dealing with but with his challenge was is I mean it's relatively you can still throw totally new product for vertical and so we are big advantages of beyond is allow us to stop and start nodes and recently Vertica has gotten quite good at stopping in part starting nodes for a while there it was it was it took a really long time to start to Noah back up and it could be invasive but we worked with with the engineering team with Yan Zi and others to really really reduce that and now it's not really an issue that we think that we think too much about hey thanks towards the end of the presentation you had said that you've got 128 shards but you have your some clusters are usually around 64 nodes and you had talked about a ratio of two to one why is that and if you were to do it again would you use 128 shards ah good question so that is a reference the reason why is because we wanted to future professionals so basically we wanted to make sure that the number of stars was evenly divisible by the number of nodes and you could I could have done that was 64 I could have done that with 128 or any other multiple entities for but we went with 128 is to try to protect ourselves in the future so that if we wanted to double the number of nodes in the ECL phone cluster specifically we could have done that so that was double from 64 to 128 and then each node would have happened just one chart that it had would have to deal with so so no skew um the second part of question if I had to do it if I had to do it over again I think I would have done I think I would have stuck with 128 we still have I mean so we either running this cluster for more than 18 months now I think especially in USC and we haven't needed to increase the number of nodes so in that sense like it's been a little bit extra overhead having more shards but it gives us the peace of mind that we can easily double that and not have to worry about it so I think I think everyone is a nice place to start and you may even consider a three to one or four to one if if you're if you're expecting really rapid growth that you were just getting started with you on and your business and your gates that's a small now but what you expect to have them grow up significantly less powerful green thank you Ron that's with all the questions that we have out there for today if you do have others please feel free to send them in and we will get back to you and we'll respond directly via email and again our engineers will be available on the vertical forums where you can continue the discussion with them there I want to thank Ron for the great presentation and also the audience for your participation in questions please note that a replay of today's event and a copy of the slides will be available on demand shortly and of course we invite you to share this information with your colleagues as well again thank you and this concludes this webinar and have a great day you