(upbeat music) >> Welcome back friends. It's theCUBE LIVE in Las Vegas at the Venetian Expo, covering the first full day of AWS re:Invent 2022. I'm Lisa Martin, and I have the privilege of working much of this week with Dave Vellante. >> Hey. Yeah, it's good to be with you Lisa. >> It's always good to be with you. Dave, this show is, I can't say enough about the energy. It just keeps multiplying as I've been out on the show floor for a few minutes here and there. We've been having great conversations about cloud migration, digital transformation, business transformation. You name it, we're talking about it. >> Yeah, and I got to say the soccer Christians are really happy. (Lisa laughing) >> Right? Because the USA made it through. So that's a lot of additional excitement. >> That's true. >> People were crowded around the TVs at lunchtime. >> They were, they were. >> So yeah, but back to data. >> Back to data. We have a couple of guests here. We're going to be talking a lot with customer challenges, how they're helping to overcome them. Please welcome Kevin Zawodzinski, VP of Sales Engineering at COMMVAULT. >> Thank you. >> And Paul Meighan, Director of Product Management at AWS. Guys, it's great to have you on the program. Thank you for joining us. >> Thanks for having us. >> Thanks for having us. >> Isn't it great to be back in person? >> Paul: It really is. >> Kevin: Hell, yeah. >> You cannot replicate this on virtual, you just can't. It's nice to see how excited people are to be back. There's been a ton of buzz on our program today about Adam's keynote this morning. Amazing. A lot of synergies with the direction, Paul, that AWS is going in and where we're seeing its ecosystem as well. Paul, first question for you. Talk about, you know, in the customer environment, we know AWS is very customer obsessed. Some of the main challenges customers are facing today is they really continue this business transformation, this digital transformation, and they move to cloud native apps. What are some of those challenges and how do you help them eradicate those? >> Well, I can tell you that the biggest contribution that we make is really by focusing on the fundamentals when it comes to running storage at scale, right? So Amazon S3 is unique, distributed architecture, you know, it really does deliver on those fundamentals of durability, availability, performance, security and it does it at virtually unlimited scale, right? I mean, you guys have talked to a lot of storage folks in the industry and anyone who's run an estate at scale knows that doing that and executing on those fundamentals day after day is just super hard, right? And so we come to work every day, we focus on the fundamentals, and that focus allows customers to spend their time thinking about innovation instead of on how to keep their data durably stored. >> Well, and you guys both came out of the storage world. >> Right. >> Yeah, yeah. >> It was a box world, (Kevin laughs) and it ain't no more. >> Kevin: That's right, absolutely. >> It's a service and a service of scale. >> Kevin: Yeah. So architecture matters, right? >> Yeah. >> Yeah. >> Paul, talk a little bit about, speaking of innovation, talk about the evolution of S3. It's been around for a while now. Everyone knows it, loves it, but how has AWS architected it to really help meet customers where they are? >> Paul: Right. >> Because we know, again, there's that customer first focus. You write the press release down the road, you then follow that. How is it evolving? >> Well, I can tell you that architecture matters a lot and the architecture of Amazon S3 is pretty unique, right? I think, you know, the most important thing to understand about the architecture of S3 is that it is truly a regional service. So we're laid out across a minimum of 3 Availability Zones, or AZs, which are physically separated and isolated and have a distance of miles between them to protect against local events like floods and fires and power interruption, stuff like that. And so when you give us an object, we distribute that data across that minimum of 3 Availability Zones and then within multiple devices within each AZ, right? And so what that means is that when you store data with us, your data is on storage that's able to tolerate the failure of multiple devices with no impact to the integrity of your data, which is super powerful. And then again, super hard to do when you're trying to roll your own. So that's sort of a, like an overview of the architecture. In terms of how we think about our roadmap, you know, 90% of our roadmap comes directly from what customers tell us matters, and that's a tenant of how we think about customer obsession at AWS and it really is how we drive a roadmap. >> Right, so speaking of customers Kevin, what are customers asking you guys- >> Yeah. >> for, how does it relate to what you're doing with S3? >> Yeah, it's a wonderful question and one that is actually really appropriate for us being at re:Invent, right? So we got, last three years we've had customers here with us on stage talking about it. First of all, 3 years ago we did a virtual session, unfortunately, but glad to be back as you mentioned, with Coca-Cola and theirs was about scale and scope and really about how can we protect hundreds of thousands of objects, petabyte to data, in a simple and secure way, right. Then last year we actually met with a ACT, Inc. as well and co-presented with them and really talked about how we could protect modern workloads and their modern workloads around whether it was Aurora or as well as EKS and how they continue to evolve as well. And, last but not least it's going to be, this year we're talking with Illinois State University as well about how they're going to continue to grow, adapt and really leverage AWS and ourselves to further their support of their teachers and their staff. So that is really helping us quite a bit to continue to move forward. And the things we're doing, again, with our customer base it's really around, focused on what's important to them, right? Customer obsession, how are we working with that? How are we making sure that we're listening to them? Again, working with AWS to understand how can we evolve together and really ultimately their journeys. As you heard, even with those 3 examples they're all very different, right? And that's the point, is that everybody's at a different point in the journey. They're at a different place from a modernization perspective. So we're helping them evolve, as they're helping us evolve as well, and transform with AWS. >> So very mature COMMVAULT stack, the S3 bucket and all the other capabilities. Paul, you just talked about coming together- >> Right. >> Dave: for your customers. >> Yeah, yeah, absolutely. And just, you know, we were talking the other day, Paul and I were talking the other day, it's been, you know, we've worked with AWS, with integration since 2009, right? So a long time, right? I mean, for some that may not seem like a long time ago, but it is, right? It's, you know, over a decade of time and we've really advanced that integration considerably as well. >> What are some of the things that, I don't know if you had a chance to see the keynote this morning? >> Yeah, a little bit. >> What are some of the things that there was, and in fact this is funny, funny data point for you on data. One of my previous guests told me that Adam Selipsky spent exactly 52 minutes talking about data this morning. 52 minutes. >> Okay. >> That there's a data point. But talk about some of the things that he talked about, the direction AWS is going in, obviously new era in the last year. Talk about what you heard and how you think that will evolve the COMMVAULT-AWS relationship. >> Yeah, I think part of that is about flexibility, as Paul mentioned too, architecture matters, right? So as we evolve and some of the things that we pride ourselves on is that we developed our systems and our software and everything else to not worry about what do I have to build to today but how do I continue to evolve with my customer base? And that's what AWS does, right? And continues to do. So that's really how we would see the data environment. It's really about that integration. As they grow, as they add more features we're going to add more features as well. And we're right there with them, right? So there's a lot of things that we also talk about, Paul and I talk about, around, you know, how do we, like Graviton3 was brought up today around some of the innovations around that. We're supporting that with Auto Scale right now, right? So we're right there releasing, right when AWS releasing, co-developing things when necessary as well. >> So let's talk about security a little bit. First of all, what is COMMVAULT, right? You're not a security company but you're an adjacency to security. It's sort of, we're rethinking security. >> Kevin: Yep. >> including data protection, not a bolt-on anymore. You guys both have a background in that world and I'm sure that resonates. >> Yeah. >> So what is the security play here? What role does COMMVAULT play? I think we know pretty well what role AWS plays, but love to hear, Paul, your thoughts as well on security. >> Yeah, I'll start I guess. >> Go on Paul. >> Okay. Yeah, so on the security side of things, there's a quite a few things. So again, on the development side of things, we do things like file anomaly detection, so seeing patterns in data. We talked a lot about analytics as well in the keynote this morning. We look at what is happening in the customer environment, if there's something odd or out of place that's happening, we can detect that and we'll notify people. And we've seen that, we have case studies about that. Other things we do are simple, simple but elegant. Is with our security dashboard. So we'll use our security dashboard to show best practices. Are they using Multi-Factor Authentication? Are you viewing password complexity? You know, things like that. And allows people to understand from a security landscape perspective, how do we layer in protection with their other systems around security. We don't profess to be the security company, or a security company, but we help, you know, obviously add in those additional layers. >> And obviously you're securing, you know, the S3 piece of it. >> Mmmhmm. >> You know, from your standpoint because building it in. >> That's right. And we can tell you that for us, security is job zero. And anyone at AWS will tell you that, and not only that but it will always be our top priority. Right from the infrastructure on down. We're very focused on our shared responsibility model where we handle security from the hypervisor, or host operating system level, down to the physical security of the facilities in which our services run and then it's our customer's responsibility to build secure applications, right. >> Yeah. And you talk about Graviton earlier, Nitro comes into play and how you're, sort of, fencing off, you know, the various components of the system from the operating system, the VMs, and then that is designed in and that's a new evolution that it comes as part of the package. >> Yeah, absolutely. >> Absolutely. >> Paul, talk a little bit about, you know, security, talking about that we had so many conversations this year alone about the threat landscape and how it's dramatically changing, it's top of mind for everybody. Huge rise in ransomware attacks. Ransomware is now, when are we going to get hit? How often? What's the damage going to be? Rather than, are we going to get hit? It's, unfortunately it's progressed in that direction. How does ensuring data security impact how you're planning the roadmap at AWS and how are partners involved in shaping that? >> Right, so like I said, you know, 90% of our roadmap comes from what customers tell us matters, right? And clearly this is an issue that matters very much to customers right now, right? And so, you know, we're certainly hearing that from customers, and COMMVAULT, and partners like COMMVAULT have a big role to play in helping customers to secure and protect their applications, right? And that's why it's so critical that we come together here at re:Invent and we have a bunch of time here at the show with the COMMVAULT technical folks to talk through what they're hearing from customers and what we're hearing. And we have a number of regular touch points throughout the year as well, right? And so what COMMVAULT gets from the relationship is, sort of, early access and feedback into our features and roadmap. And what we get out of it really is that feedback from that large number of customers who interface with Amazon S3 through COMMVAULT. Who are using S3 as a backup target behind COMMVAULT, right? And so, you know, that partnership really allows us to get close to those customers and understand what really matters to them. >> Are you doing joint engineering, or is it more just, hey here you go COMMVAULT, here's the tools available, go, go build. Can you address that? >> Yeah, no, absolutely. There's definitely joint engineering like even things around, you know, data migration and movement of data, we integrate really well and we talk a lot about, hey, what are you, like as Paul mentioned, what are you seeing out there? We actually, I just left a conversation about an hour ago where we're talking about, you know, where are we seeing placement of data and how does that matter to, do you put it on, you know, instant access, or do you put it on Glacier, you know, what should be the best practices? And we tell them, again, some of the telemetry data that we have around what do we see customers doing, what's the patterns of data? And then we feed that back in and we use that to create joint solutions as well. >> You know, I wonder if we could talk about cloud, you know, optimization of cloud costs for a minute. That's obviously a big discussion point in the hallways with customers. And on your earnings call you guys talked about specifically some customers and they specifically mentioned, for example, pushing storage to lower cost tiers. So you brought up Glacier just then. What are you seeing in the field in that regard? How are customers taking advantage of that? And where does COMMVAULT play in, sort of, helping make that decision? >> You want to take part one or you want me to take it? >> I can take part one. I can tell you that, you know, we're very focused on helping customers optimize costs, however necessary, right? And, you know, we introduced intelligent hearing here at the show in 2019 and since launch it's helped customers to reduce costs by over $750 million, right? So that's a real commitment to optimizing costs on behalf of customers. We also launched, you know, later in 2020, Glacier Deep Archive, which is the lowest cost storage in the cloud. So it's an important piece of the puzzle, is to provide those storage options that can allow customers to match the workloads that are, that need to be on folder storage to the appropriate store. >> Yeah, and so, you know, S3 is not this, you know, backup and recovery system, not an archiving system and, you know, in terms of, but you have that intelligence in your platform. 'Cause when I heard that from the earnings call I was like, okay, how do customers then go about deciding what they can, you know, when it's all good times, like yeah, who cares? You know, just go, go, go. But when you got to tighten the belt, how do you guys? >> Yeah, and that goes back to understanding the data pattern. So some of that is we have intelligence and artificial intelligence and everything else and machine learning within our, so we can detect those patterns, right? We understand the patterns, we learn from that and we help customers right size, right. So ultimately we do see a blend, right? As Paul mentioned, we see, you know, hey I'm not going to put everything on Glacier necessarily upfront. Maybe they are, it all depends on their workloads and patterns. So we use the data that we collect from the different customers that we have to share those best practices out and create, you know, the right templates, so to speak, in ways for people to apply it. >> Guys, great joint, you talked about the joint engineering, joint go to market, obviously a very strong synergistic partnership between the two. A lot of excitement. This is only day one, I can only imagine what's going to be coming the next couple of days. But I have one final question for you, but I have same question for both of you. You had the chance to create your own bumper sticker, so you get a shiny new car and for some reason you want to put a bumper sticker on it. About COMMVAULT, what would it say? >> Yeah, so for me I would say comprehensive, yet simple, right? So ultimately about giving you all the bells and whistles but if you want to be very simple we can help you in every shape and form. >> Paul, what's your bumper sticker say about AWS? >> I would say that AWS starts with the customer and works backwards from there. >> Great one. >> Excellent. Guys- >> Kevin: Well done. >> it's been a pleasure to have you on the program. Thank you- >> Kevin: Thank you. >> for sharing what's going on, the updates on the AWS-COMMVAULT partnership and what's in it for customers. We appreciate it. >> Dave: Thanks you guys. >> Thanks a lot. >> Thank you. >> All right. For our guests and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)

(upbeat music) >> We're here on theCube covering AWS Storage Day 2022. Kevin Miller joins us. He's the vice president and general manager of Amazon S3. Hello, Kevin, good to see you again. >> Hey Dave, it's great to see you as always. >> It seems like just yesterday we were celebrating the 15th anniversary of S3, and of course the launch of the modern public cloud, which started there. You know, when you think back Kevin, over the past year, what are some of the trends that you're seeing and hearing from customers? What do they want to see AWS focus more on? What's the direction that you're setting? >> Yeah, well Dave, really I think there's probably three trends that we're seeing really pop this year. I think one just given the kind of macroeconomic situation right now is cost optimization. That's not a surprise. Everyone's just taking a closer look at what they're using, and where they might be able to pair back. And you know, I think that's a place that obviously S3 has a long history of helping customers save money. Whether it's through our new storage classes, things like our Glacier Instant Retrieval, storage class that we launched to reinvent last year. Or things like our S3 storage lens capability to really dig in and help customers identify where their costs are are being spent. But so certainly every, you know, a lot of customers are focused on that right now, and for obvious reasons. I think the second thing that we're seeing is, just a real focus on simplicity. And it kind of goes hand in hand with cost optimization, because what a lot of customers are looking for is, how do I take the staff that I have, and do more this year. Right, continue to innovate, continue to bring new applications or top line generating revenue applications to the market, but not have to add a lot of extra headcount to do that. And so, what they're looking for is management and simplicity. How do I have all of this IT infrastructure, and not have to have people spending a lot of their time going into kind of routine maintenance and operations. And so that's an area that we're spending a lot of time. We think we have a lot of capability today, but looking at ways that we can continue to simplify, make it easier for customers to manage their infrastructure. Things like our S3 intelligent tiering storage class, which just automatically gives cost savings for data that's not routinely accessed. And so that's a big focus for us this year as well. And then I think the last and probably third thing I would highlight is an emerging theme or it's been a theme, but really continuing to increase in volume, is all around sustainability. And you know, our customers are looking for us to give them the data and the assurances for them, for their own reports and their own understanding of how sustainable is my infrastructure. And so within AWS, of course, you know we're on a path towards operating with 100% renewable energy by 2025. As well as helping the overall Amazon goal of achieving net zero carbon by 2040. So those are some big lofty goals. We've been giving customers greater insights with our carbon footprint tool. And we think that, you know the cloud continues to be just a great place to run and reduce customer's carbon footprint for the similar you know, storage capacity or similar compute capacity. But that's just going to continue to be a trend and a theme that we're looking at ways that we can continue to help customers do more to aggressively drive down their carbon footprint. >> I mean, it makes sense. It's like you're partnering up with the cloud, you know, you did same thing on security, you know, there's that shared responsibility model, same thing now with ESG. And on the macro it's interesting Kevin, this is the first time I can remember where, you know it used to be, if there's a downturn it's cost optimization, you go to simplicity. But at the same time with digital, you know, the rush to digital, people still are thinking about, okay how do I invest in the future? So but let's focus on cost for a moment then we'll come back to sort of the data value. Can you tell us how AWS helps customers save on storage, you know, beyond just the price per terabyte actions that you could take. I mean I love that, you guys should keep doing that. >> Absolutely. >> But what other knobs are you turning? >> Yeah, right and we've had obviously something like 15 cost reductions or price reductions over the years, and we're just going to continue to use that lever where we can, but it's things like the launch of our Glacier Instant Retrieval storage class that we did last year at Reinvent, where that's now you know, 4/10ths of a cent per gigabyte month. For data that customers access pretty infrequently maybe a few times a year, but they can now access that data immediately and just pay a small retrieval fee when they access that data. And so that's an example of a new capability that reduces customer's total cost of ownership, but is not just a straight up price reduction. I mentioned S3 Intelligent-Tiering, that's another case where, you know, when we launch Glacier Instant Retrieval, we integrated that with Intelligent-Tiering as well. So we have the archive instant access tier within Intelligent-Tiering. And so now data that's not accessed for 90 days is just automatically put into AIA and and then results in a reduced storage cost to customers. So again, leaning into this idea that customers are telling us, "Just do, you know what should be done "for my data to help me reduce cost, can you just do it, "and sort of give me the right defaults." And that's what we're trying to do with things like Intelligent-Tiering. We've also, you know, outside of the S3 part of our portfolio, we've been adding similar kinds of capabilities within some of our file services. So things like our, you know elastic file service launched a one zone storage class as well as an intelligent tiering capability to just automatically help customers save money. I think in some cases up to 92% on their their EFS storage costs with this automatic intelligent tiering capability. And then the last thing I would say is that we also are just continuing to help customers in other ways, like I said, our storage lens is a great way for customers to really dig in and figure out. 'Cause you know, often customers will find that they may have, you know, certain data sets that someone's forgotten about or, they're capturing more data than they expected perhaps in a logging application or something that ends up generating a lot more data than they expected. And so storage lens helps them really zoom in very quickly on, you know this is the data, here's how frequently it's being accessed and then they can make decisions about use that data I keep, how long do I keep it? Maybe that's good candidates to move down into one of our very cold storage classes like Glacier Deep Archive, where they they still have the data, but they don't expect to need to actively retrieve it on a regular basis. >> SDL bromide, if you can measure it, you can manage it. So if I can see it, visualize it, that I can take actions. When you think about S3- >> That's right. it's always been great for archival workloads but you made some updates to Glacier that changed the way that we maybe think about archive data. Can you talk about those changes specifically, what it means for how customers should leverage AWS services going forward? >> Yeah, and actually, you know, Glacier's coming up on its 10 year anniversary in August, so we're pretty excited about that. And you know, but there's just been a real increase in the pace of innovation, I think over the last three or four years there. So we launched the Glacier Deep Archive capability in 2019, 2018, I guess it was. And then we launched Glacier Instant Retrieval of course last year. So really what we're seeing is we now have three storage classes that cover are part of the Glacier family. So everything from millisecond retrieval for that data, that needs to be accessed quickly when it is accessed, but isn't being accessed, you know, regularly. So maybe a few times a year. And there's a lot of use cases that we're seeing really quickly emerge for that. Everything from, you know, user generated content like photos and videos, to big broadcaster archives and particularly in media and entertainment segment. Seeing a lot of interest in Glaciers Instant Retrieval because that data is pretty cold on a regular basis. But when they want to access it, they want a huge amount of data, petabytes of data potentially back within seconds, and that's the capability we can provide with Glacier Instant Retrieval. And then on the other end of the spectrum, with Glacier Deep Archive, again we have customers that have huge archives of data that they be looking to have that 3-AZ durability that we provide with Glacier, and make sure that data is protected. But really, you know expect to access it once a year if ever. Now it could be a backup copy of data or secondary or tertiary copy of data, could be data that they just don't have an active use for it. And I think that's one of the things we're starting to see grow a lot, is customers that have shared data sets where they may not need that data right now but they do want to keep it because as they think about, again these like new applications that can drive top line growth, they're finding that they may go back to that data six months or nine months from now and start to really actively use it. So if they want that option value to keep that data so they can use it down the road, Glacier Deep Archive, or Glacier Flexible Retrieval, which is kind of our storage class right in the middle of the road. Those are great options for customers to keep the data, keep it safe and secure, but then have it, you know pretty accessible when they're ready to get it back. >> Got it, thank you for that. So, okay, so customers have choices. I want to get into some of the competitive differentiators. And of course we were talking earlier about cost optimization, which is obviously an important topic given the macro environment you know, but there's more. And so help us understand what's different about AWS in terms of helping customers get value from their data, cost reduction as a component of value, part of the TCO, for sure. But just beyond being a cloud bit bucket, you know just a storage container in the cloud, what are some of the differentiators that you can talk to? >> Yeah, well Dave, I mean, I think that when it comes to value, I think there's tremendous benefits in AWS, well beyond just cost reduction. I think, you know, part of it is S3 now has built, I think, an earned reputation for being resilient, for storing, you know, at massive scale giving customers that confidence that they will be able to scale up. You know, we store more than 200 trillion objects. We regularly peak at over 100 million requests per second. So customers can build on S3 and Glacier with the confidence that we're going to be there to help their applications grow and scale over time. And then I think that in all of the applications both first party and third party, the customers can use, and services that they can use to build modern applications is an incredible benefit. So whether it's all of our serverless offerings, things like Lambda or containers and everything we have to manage that. Or whether it's the deep analytics and machine learning capabilities we have to help really extract, you know value and insight from data in near real time. You know, we're just seeing an incredible number of customers build those kinds of applications where they're processing data and feeding their results right back into their business right away. So I'm just going to briefly mention a couple, like, you know one example is ADP that really helps their customers measure, compare and sort of analyze their workforce. They have a couple petabytes of data, something like 25 billion individual data points and they're just processing that data continuously through their analytics and machine learning applications to then again, give those insights back to their customers. Another good example is AstraZeneca. You know, they are processing petabytes and petabytes of genomic sequencing data. And they have a goal to analyze 2 million genomes over the next four years. And so they're just really scaling up on AWS, both from a pure storage point of view, but more importantly, from all of the compute and analytics capability on top that is really critical to achieving that goal. And then, you know, beyond the first party services we have as I mentioned, it's really our third party, right? The AWS partner network provides customers an incredible range of choice in off the shelf applications that they can quickly provision and make use of the data to drive those business insights. And I think today the APN has something like 100,000 partners over in 150 countries. And we specifically have a storage competency partner where customers can go to get those applications that directly work, you know, on top of their data. And really, like I said, drive some of that insight. So, you know, I think it's that overall benefit of being able to really do a lot more with their data than just have it sit idle. You know, that's where I think we see a lot of customers interested in driving additional value. >> I'm glad you mentioned the ecosystem, and I'm glad you mentioned the storage competency as well. So there are other storage partners that you have, even though you're a head of a big storage division. And then I think there's some other under the cover things too. I've recently wrote, actually have written about this a lot. Things like nitro and rethinking virtualization and how to do, you know offloads. The security that comes, you know fundamentally as part of the platform is, I think architecturally is something that leads the way in the industry for sure. So there's a lot we could unpack, but you've fundamentally changed the storage market over the last 16 years. And again, I've written about this extensively. We used to think about storage in blocks or you got, you know, somebody who's really good in files, there were companies that dominated each space with legacy on-prem storage. You know, when you think about object storage Kevin, it was a niche, right? It was something used for archival, it was known for its simple, get put syntax, great for cheap and deep storage, and S3 changed that. Why do you think that's happened and S3 has evolved, the object has evolved the way it has, and what's the future hold for S3? >> Yeah I mean, you know, Dave, I think that probably the biggest overall trend there is that customers are looking to build cloud native applications. Where as much of that application is managed as they can have. They don't want to have to spend time managing the underlying infrastructure, the compute and storage and everything that goes around it. And so a fully managed service like S3, where there's no provisioning storage capacity, there's, you know we provide the resiliency and the durability that just really resonates with customers. And I think that increasingly, customers are seeing that they want to innovate across the entire range of business. So it's not about a central IT team anymore, it's about engineers that are embedded within lines of business, innovating around what is critical to achieve their business results. So, you know, if they're in a manufacturing segment, how can we pull data from sensors and other instrumentation off of our equipment and then make better decisions about when we need to do predictive maintenance, how quickly we can run our manufacturing line, looking for inefficiencies. And so we've developed around our managed offerings like S3, we've just developed, you know, customers who are investing and executing on plans and you know transformations. That really give them, you know put digital technology directly into the line of business that they're looking for. And I think that trend is just going to continue. People sometimes ask me, well "I mean, 16 years, you know, isn't S3 done?" And I would say, "By no stretcher are we done." We have plenty of feedback from customers on ways that we can continue to simplify, reduce the kinds of things they need to do, when they're looking for example and rolling out new security policies and parameters across their entire organization. So raising the bar there, finding, you know, raising the bar on how they can efficiently manage their storage and reduce costs. So I think we have plenty of innovation ahead of us to continue to help customers provide that fully managed capability. >> Yeah I often say Kevin, the next 10 years ain't going to be like the last in cloud. So I really thank you for coming on theCube and sharing your insights, really appreciate it. >> Absolutely Dave, thanks for having me. >> You're welcome. Okay keep it right there for more coverage of AWS Storage Day 2022 in theCube. (calm bright music)

(bright upbeat music) >> Welcome back to theCUBE's coverage of VeeamON 2022. We're here at the Aria in Las Vegas. This is day two, Dave Vallante with David Nicholson. You know with theCUBE, we talked about the cloud a lot and the company that started the cloud, AWS. Jeanna James is here. She's the Global Alliance Manager at AWS and a data protection expert. Great to see you. Thanks for coming on theCUBE again. >> Thanks so much for having me, Dave. It's great to be here in person with everyone. >> Yes, you know, we've done a few events live more than a handful. Thanks a lot to AWS. We've done a number. We did the DC Summits. Of course, re:Invent was huge out here last year. That was right in between the sort of variant Omicron hitting. And it was a great, great show. We thought, okay, now we're back. And of course we're kind of back, but we're here and it's good to have you. So Veeam, AWS, I mean, they certainly embrace the cloud. What's your relationship there? >> Yeah, so Veeam is definitely a strong partner with AWS. And as you know, AWS is really a, you know, we have so many different services, and our customers and our partners are looking at how can I leverage those services and how do I back this up, right? Whether they're running things on premises and they want to put a copy of the data into Amazon S3, Amazon S3 Infrequent Access or Amazon S3 Glacier Deep Archive, all of these different technologies, you know Veeam supports them to get a copy from on-prem into AWS. But then the great thing is, you know, it's nice to have a copy of your data in the cloud but you might want to be able to do something with it once it gets there, right? So Veeam supports things like Amazon EC2 and Amazon EKS and EKS Anywhere. So those customers can actually recover their data directly into Amazon EC2 and EKS Anywhere. >> So we, of course, talked a lot about ransomware and that's important in that context of what you just mentioned. What are you seeing with the customers when you talk to them about ransomware? What are they asking AWS to do? Maybe we could start unpacking that a bit. >> Yeah, ransomware is definitely a huge topic today. We're constantly having that conversation. And, you know, five years ago there was a big malware attack that was called the NotPetya virus. And at that time it was based on Petya which was a ransomware virus, and it was designed to go in and, you know, lock in the data but it also went after the backup data, right? So it hold all of that data hostage so that people couldn't recover. Well, NotPetya was based on that but it was worse because it was the seek and destroy virus. So with the ransomware, you can pay a fee and get your data back. But with this NotPetya, it just went in, it propagated itself. It started installing on servers and laptops, anything it could touch and just deleting everything. And at that time, I actually happened to be in the hospital. So hospitals, all types of companies got hit by this attack. And my father had been rushed to the emergency room. I happened to be there. So I saw live what really was happening. And honestly, these network guys were running around shutting down laptops, taking them away from doctors and nurses, shutting off desktops. Putting like taping on pictures that said, do not turn on, right? And then, the nurses and staff were having to kind of take notes. And it was just, it was a mess, it was bad. >> Putting masks on the laptops essentially. >> Yeah, so just-- >> Disinfecting them or trying to. Wow, unplugging things from the network. >> Yes, because, you know, and that attack really demonstrated why you really need a copy of the data in the cloud or somewhere besides tape, right? So what happened at that time is if you lose 10 servers or something, you might be able to recover from tape, but if you lose a hundred or a thousand servers and all of your laptops, all in hours, literally a matter of hours, that is a big event, it's going to take time to recover. And so, you know, if you put a copy of the backup data in Amazon S3 and you can turn on that S3 Object Lock for immutability, you're able to recover in the cloud. >> So, can we go back to this hospital story? 'Cause that takes us inside the disaster potential. So they shut everything down, basically shut down the network so they could figure out what's going on and then fence it off, I presume. So you got, wow, so what happened? First of all, did they have to go manual, I mean? >> They had to do everything manually. It was really a different experience. >> Going back to the 1970s, I mean. >> It was, and they didn't know really how to do it, right? So they basically had kind of yellow notepads and they would take notes. Well, then let's say the doctor took notes, well, then the nurse couldn't read the notes. And even over the PA, you know, there was an announcement and it was pretty funny. Don't send down lab work request with just the last name. We need to know the first name, the last name, and the date of birth. There are multiple Joneses in this hospital so yeah (giggles). >> This is going to sound weird. But so when I was a kid, when you worked retail, if there was a charge for, you know, let's say $5.74 and, you know, they gave you, you know, amount of money, you would give them, you know, the penny back, count up in your head that's 75, give them a quarter and then give them the change. Today, of course, it works differently. The computer tells you, how much change to give. It's like they didn't know what to do. They didn't know how to do it manually 'cause they never had the manual process. >> That's exactly right. Some of the nurses and doctors had never done it manually. >> Wow, okay, so then technically they have to figure out what happened so that takes some time. However they do that. That's kind of not your job, right? I dunno if you can help with that or not. Maybe Amazon has some tooling to do that, probably does. And then you've got to recover from somewhere, not tape ideally. That's like the last resort. You put it on a Chevy Truck, Chevy Truck Access Method called CTAM, ship it in. That takes days, right? If you're lucky. So what's the ideal recovery. I presume it's a local copy somewhere. >> So the ideal-- >> It's fenced. >> In that particular situation, right? They had to really air gap so they couldn't even recover on those servers and things like that-- >> Because everything was infected on on-prem. >> Because everything was just continuing to propagate. So ideally you would have a copy of your data in AWS and you would turn on Object Lock which is the immutability, very simple check mark in Veeam to enable that. And that then you would be able to kick off your restores in Amazon EC2, and start running your business so. >> Yeah, this ties into the discussion of the ransomware survey where, you know, NotPetya was not seeking to extort money, it was seeking to just simply arrive and destroy. In the ransomware survey, some percentage of clients who paid ransom, never got their data back anyway. >> Oh my. >> So you almost have to go into this treating-- >> Huge percentage. >> Yeah, yeah, yeah. >> Like a third. >> Yeah, when you combine the ones where there was no request for ransom, you know, for any extorted funds, and then the ones where people paid but got nothing back. I know Maersk Line, the shipping company is a well studied example of what happened with NotPetya. And it's kind of chilling because what you describe, people running around shutting down laptops because they're seeing all of their peers' screens go black. >> Yes, that's exactly what's happening. >> And then you're done. So that end point is done at that point. >> So we've seen this, I always say there are these milestones in attacks. I mean, Stuxnet proved what a nation state could do and others learned from that, NotPetya, now SolarWinds. And people are freaking out about that because it's like maybe we haven't seen the last of that 'cause that was highly stealth, not a lot of, you know, Russian language in the malware. They would delete a lot of the malware. So very highly sophisticated island hopping, self forming malware. So who knows what's next? We don't know. And so you're saying the ideal is to have an air gap that's physically separate. maybe you can have one locally as well, we've heard about that too, and then you recover from that. What are you seeing in terms of your customers recovering from that? Is it taking minutes, hours, days? >> So that really de depends on the customers SLAs, right? And so with AWS, we offer multiple tiers of storage classes that provide different SLA recovery times, right? So if you're okay with data taking longer to recovery, you can use something like Amazon S3 Glacier Deep Archive. But if it's mission critical data, you probably want to put it in Amazon S3 and turn on that Object Lock for immutability sake. So nothing can be overwritten or deleted. And that way you can kick off your recoveries directly in AWS. >> One of the demos today that we saw, the recovery was exceedingly fast with a very small data loss so that's obviously a higher level SLA. You got to get what you pay for. A lot of businesses need that. I think it was like, I didn't think it was, they said four minutes data loss which is good. I'm glad they didn't say zero data loss 'cause there's really no such thing. So you've got experience, Jeanna, in the data protection business. How have you seen data protection evolve in the last decade and where do you see it going? Because let's face it, I mean when AWS started, okay, it had S3, 15 years ago, 16 years ago, whatever it was. Now, it's got all these tools as you mentioned. So you've learned, you've innovated along with your customers. You listened to your customers. That's your whole thing, customer obsession. >> That's right. >> What are they telling you? What do you see as the future? >> Definitely, we see more and more containerization. So you'll see with the Kasten by Veeam product, right? The ability to protect Amazon EKS, and Amazon EKS Anywhere, we see customers really want to take advantage of the ability to containerize and not have to do as much management, right? So much of what we call undifferentiated heavy lifting, right? So I think you'll see continued innovation in the area of containerization, you know, serverless computing. Obviously with AWS, we have a lot going on with artificial intelligence and machine learning. And, you know, the backup partners, they really have a unique capability in that they do touch a lot of data, right? So I think in the future, you know, things around artificial intelligence and machine learning and data analytics, all of those things could certainly be very applicable for folks like Veeam. >> Yeah, you know, we give a lot of, we acknowledge that backup is different from recovery but we often fall prey to making the mistake of saying, oh, well your data is available in X number of minutes. Well, that's great. What's it available to? So let's say I have backed up to S3 and it's immutable. By the way my wife keeps calling me and saying she wants mutability for me. (Jeanna laughs) I'm not sure if that's a good thing or not. But now I've got my backup in S3, begs the question, okay, well, now what do I do with it? Well, guess what you mentioned EC2. >> That's right. >> The ability exists to create a restore environment so that not only is the data available but the services are actually online and available-- >> That's right-- >> Which is what you want with EKS and Kasten. >> So if the customer is running, you know, Kubernetes, they're able to recover as well. So yes, definitely, I see more and more services like that where customers are able to recover their environment. It might be more than just a server, right? So things are changing. It's not just one, two, three, it's the whole environment. >> So speaking of the future, one of the last physical theCUBE interviews that Andy Jassy did with us. John Furrier and myself, we were asking about the edge and he had a great quote. He said, "Oh yeah, we look at the data center as just another edge node." I thought that was good classic Andy Jassy depositioning. And so it was brilliant. But nonetheless, we've talked a little bit about the edge. I was interviewing Verizon last week, and they told me they're putting outposts everywhere, like leaning in big time. And I was saying, okay, but outpost, you know, what can you do with outpost today? Oh, you can run RDS. And, you know, there's a few ecosystem partners that support it, and he's like, oh no, we're going to push Amazon. So what are you seeing at the edge in terms of data protection? Are customers giving you any feedback at this point? >> Definitely, so edge is a big deal, right? Because some workloads require that low latency, and things like outpost allow the customers to take advantage of the same API sets that they love in, you know, AWS today, like S3, right? For example. So they're able to deploy an outpost and meet some of those specific guidelines that they might have around compliance or, you know, various regulations, and then have that same consistent operational stance whether they're on-prem or in AWS. So we see that as well as the Snowball devices, you know, they're being really hardened so they can run in areas that don't have connected, you know, interfaces to the internet, right? So you've got them running in like ships or, you know, airplanes, or a field somewhere out in nowhere of this field, right? So lots of interesting things going on there. And then of course with IoT and the internet of things and so many different devices out there, we just see a lot of change in the industry and how data is being collected, how data's being created so a lot of excitement. >> Well, so the partners are key for outposts obviously 'cause you can't do it all yourself. It's almost, okay, Amazon now in a data center or an edge node. It's like me skating. It's like, hmm, I'm kind of out of my element there but I think you're learning, right? So, but partners are key to be able to support that model. >> Yes, definitely our partners are key, Veeam, of course, supports the outpost. They support the Snowball Edge devices. They do a lot. Again, they pay attention to their customers, right? Their customers are moving more and more workloads into AWS. So what do they do? They start to support those workloads, right? Because the customers also want that consistent, like we say, the consistent APIs with AWS. Well, they also want the consistent data protection strategy with Veeam. >> Well, the cloud is expanding. It's no longer just a bunch of remote services somewhere out there in the cloud. It's going to data centers. It's going out to the edge. It's going to local zones. You guys just announced a bunch of new local zones. I'm sure there are a lot of outposts in there, expanding your regions. Super cloud is forming right before our eyes. Jeanna, thanks so much for coming to theCUBE. >> Thank you. It's been great to be here. >> All right, and thank you for watching theCUBE's coverage. This is day two. We're going all day here, myself, Dave Nicholson, cohost. Check out siliconangle.com. For all the news, thecube.net, wikibon.com. We'll be right back right after this short break. (bright upbeat music)

(upbeat music) >> Hey, everyone. Welcome to theCUBE's coverage of Women in Tech: International Women's Day, 2022. I'm your host, Lisa Martin. Erin Chu joins me next. Life Sciences Lead at AWS Open Data. Erin, welcome to the program. >> Thanks so much for having me, Lisa. Tell me a little bit about you and your role at AWS. >> I would love to. So I am a life sciences lead on the AWS Open Data team, and we are really in the business of democratizing access to data. We believe that if you make high quality, high impact data openly available in the cloud, that people can start innovate, make discoveries and do science faster with those data. So we have a number of specialists with expertise in different domains. Geospatial sciences, climate sustainability, statistical regulatory and then of course myself, the life sciences lead. >> So, you have a really interesting background. You're a veterinarian by training. You have a PhD, you've worked in mobile veterinary clinics, and also in an animal genomic startup, how did you make the change from the clinical side to working for a large international, one of the biggest companies in the world? >> Yeah, I love that question because so much of, I think, anybody's career path is serendipitous and circumstantial, right? But the fact is I was working in a mobile veterinary clinics while I was finishing up a PhD in molecular genomics. And at the same time was reached out to by a professor at Cornell who had started a little dog genomic startup. And he said, "Hey, we need a veterinarian who can talk to people and who understands the genomic side of things?" And I said, "Yeah, I'm your girl." And I came on full time with that startup towards the end of my PhD, signed on after I finished, came on on as their senior veterinary geneticist. Startups a great whirlwind. You end up learning a ton. You have a huge, deep learning curve. You're wearing every possible hat you can. And after a couple years there, I wondered what else I could do. And simply said, where else could I look for work? And how else could I grow? And I decided to try the larger tech world, because I said, this is a toolkit I don't have yet. So I'd like to try and see how I can do it, and here I am. >> And you, I was reading about you that you felt empowered by the notion that I have to trust my instincts. You look at careers in biology, you decided what directions you wanted to take but how did you kind of conjure that feeling of empowerment? >> Yeah, I have to see say I have an incredibly supportive team and in supportive manager, but a lot of it was simply because I've never been afraid to fail. The worst thing that someone can ever say to you is, no or that you didn't do that well. Once you come across that once in your life, it doesn't hurt so bad the second time around. And so, I was hired for a very specific data set that my team was helping to manage. And that does take up a good deal of my time, it still does, but I also had the freedom to say, "Hey, what are the trends in biology? I am an expert in this field. What do I know is coming around the corner? What do I know my researchers need?" And I was entrusted with that, this ability to say, "Hey, these are the decisions I think we should make." And I got to see those outcomes fairly quickly. So, my managers have always put a good deal of trust in me and I don't think I've let them down. >> I'm sure you haven't. Tell me a little bit about some of your mentors or sponsors that have helped guide you along the way and really kind of feel that empowerment that you already had. >> Absolutely. Well, the first and foremost mentor in has been my mother. So, in the spirit of International Women's Day, my mom is actually the first Asian engineer to ever reach executive level. Asian female engineer to ever reach executive level at IBM. And so, I spent my life seeing what my mother could do, and watching her just succeed. And I think very early it clear, she said, "What can't you do?" And that was kind of how I approached my entire life, is what can't I do, and what's the worst thing that will happen. You fail and then you try again. So she is absolutely my first mentor, and a role model to me and hopefully to women everywhere, honestly. I've had some amazing teachers and mentors. My professor who oversaw my PhD, Dr. Paul Soloway. He's currently still at Cornell, really just said, "What decisions do you want to make?" And, "I will support you in the best way I can." And we learned a lot together. I have a professor at Cornell who I still come back. I speak at her alternate careers in veterinary medicine because she just... And she was the one who told me, "Erin, you have a really high buoyancy factor. Don't lose that." And her name is Dr. Carolyn McDaniel. And she has just been such a positive force just saying, "What else could we do?" >> Well, that's- >> And, "Never let your degrees or your training say that this is what you have to do. Think of it as a starting point." >> That's a great point. We often, especially when we're little kids, many of us, you think of these very defined, doctor, lawyer, accountants, nurse instead of having something like you do and being able to go, what else can I do with this? How can I take this education, this information and the interest that I have and parlay it into something that really can kick the door wide open. And to your point, I love how your mom was saying, "What can't you do?" That's a message that everyone needs to hear. And there's an AWS Open Data Sponsorship Program. Talk to me a little bit about that. I'm always interested in sponsorship programs. >> Oh, thanks for asking. So the Open Data Sponsorship Program or the ODP since Open Data Sponsorship Program can be a little mouthful after you say it a few times, but the ODP is a program that AWS sponsors where we will actually cover at the cost of storage transfer and egress of high impact data sets in the cloud. Basically, we know that sometimes the barrier to getting into cloud can be very high for certain providers of gold standard data sets. And when I mean gold standard data sets, I mean like NASA Sentinel-2, or the National Institutes of Health Sequence Read Archive. These are invaluable data sets that are ingested by thousands if not millions of users every day. And what we want to do is lower that barrier to cloud and efficient distribution of those data to zero. So, the program is actually open to anybody. It can be a government entity, it can be a startup, it can be nonprofit. We want to understand more about your data and help you distribute it well in the cloud. >> So this is for any type of organization regardless of industry? >> That's right. >> So, you're really allowing more organizations... One of the things that we say often when we're talking on theCUBE is that every company these days is a data company, or it has to be. Every company has to be a tech company, whether we're talking about your grocery store or AWS, for example. So helping organizations to be able to take that data, understand it, and have those personal conversations that as consumers we expect is critical, but it's challenging for organizations that say, "Well, I came up in retail and now I've got to be a tech company." Talk to me about kind of empowering organizations to be able to use that data, to grow the organization, grow the business, but also to delight customers 'cause of course we are quite picky. >> You're so right. Data is power and it doesn't matter what you are selling or who you are serving. If you have the data about your product. And also to some degree, the data about who your consumers are, you can really tailor an experience. I always tell my colleagues that data is impersonal, right? You can look at bits and bites, numbers, structured columns and rows, but you can funnel data into a truly personal experience as long as you do you it right. And hopefully, when I work with my data providers I ask them, how do you want people to use your data? What are the caveats? How can we make these data easy to work with? But also easy to draw correct insights from. >> Right, that easy to use is critical because as you know the proliferation of data just continues and it will continue. If we think of experiences. I want to go back to your experience. What's been the biggest learning curve that you've had so far? >> Oh my gosh. So, the best part of being at a large company is that you're not in the same room or even like whatever the same slack channel as all of your colleagues, right? Coming from a startup or clinical space where quite literally you are in the same room as everybody 'cause there are less than 60 of you, you could just talk to the person who might be an internal stakeholder. You had that personal relationship, and frankly, like most of the time your views were very aligned. It was sell the product, get to MVP. Moving into larger tech, the steepest curve I had other than becoming very comfortable in the cloud, in all the services that AWS has to offer, were to manage those internal relationships. You have to understand who the stakeholders are. There typically many, many of them for any given project or a company that we're serving. And you have to make sure that you're all aligned internally, make sure that everyone gets what they need and that we reach that end to ultimately serve the customer together. >> Yeah, that communication and collaboration is key. And that's something that we've seen over the last two years, is how dependent we've all become on collaboration tools. But it is a different type of relationship. You're right. Going from a clinic where you're all in the same room or the same location to everyone being distributed globally. Relationship management there is key. It's one of my favorite things about being in tech is that, I think it's such a great community. It's a small community, and I think there's so there's so much opportunity there. If you're a good person, you manage those relationships and you learn how to work with different types of people. You'll always be successful. Talk to me about what you would say, if someone's saying, "Erin, I need some advice. I want to change industries or I want to take this background that I have, and use it in a different industry." What are the three pieces of advice that you would share? >> Oh, absolutely. So, the first thing that I always talk with my... I have quite a few colleagues who have approached me from all different parts of my life. And they've said, "Erin, how did you make the change? And how can I make a change?" And the first thing I say is let's look at your resume and define what your translational skills are. That is so big, right? It doesn't matter what you think you're a specialist in, it's how generalizable are those specialty skills and how can you show that to somebody who's looking at your resume. Let's call it a nontraditional resume. And the second is don't hesitate to ask question. Go for the informational interview. People want to tell you about how they've gotten to where they are and how you might be able to get there too. And so I say, get on LinkedIn and start asking questions. If one person says yes, and you get no responses I call that a success. Don't be afraid of not getting a response, that's okay. And the last thing, and I think this is the most important thing is to hold onto the things that make you happy no matter where you are in your life. It's important to realize you are more than your job. It is important to remember what makes you happy and try to hang on those. I am a gym rat. I admit that I am a gym rat. I'm in the gym five days a week. I have a horse. I go out to see him at least two or three a days. I know it's typical veterinarian, right? You just collect niches until you run out of things you want to pay for. But those are things that have been constant through 20 plus years of being in the workforce. And they've been what kept me going. Let's revise that in ten years. >> So critical because as we all know tech can be all consuming. It will take everything if you let it. So being able to have... We always talk about the balance. Well, the balance is hard. It's definitely a way to scale, right? It's going back and forth, but being able to hold onto the things that actually make you who you are, I think make you better at your job, probably more productive and happier. >> I agree. I totally agree. >> Another thing that you believe, which I love, this is an important message is that, if you look at a job, I like how you said earlier, the worst they can say is no. You have nothing to lose. And it's really true. As scary as that is same thing with raising your hand as you say, and I agree with you about that. Ask a question. It's not a dumb question. I guarantee you. If you're in a room or you're on a Zoom or even in a slack channel. A fair number of people probably have the same question. Be the one to raise your hand and say, "Maybe I missed this. Can you clarify this?" But you also think that you don't have to meet all the job requirements. If you see something that says, five years experience in this or 10 years in that or must have this degree or that degree, you're saying you don't have to meet all that criteria. >> I agree. Yeah, that's another big thing is that, I'll literally talk to people who are like, "Well, Erin, this job application, look at all these requirements and I can't fill these requirements." I'm like, "First of all, who says you can't?" Just because you don't have a certification, what has your work thus far done to reflect that? Yeah, you can meet that requirement, even if you don't have an official certification. But two, like what's the worst thing that happens. You don't get a call back from a recruiter. That's okay. I have so many friends who are afraid of failure, and I tell them, just fail once doesn't hurt. It never hurts as much as you think it's going to hurt. And then you just keep going. >> You keep going and you learn. But you've also brought up a great point about those transfer growth skills or those soft skills that are so important. Communication skills, for example. Relationship building skills that may not be in that written job description. So you may not think about actually there's a tremendous amount of importance that these skills have. That having this kind of breadth of background. I think is always so interesting we think about thought diversity, and if we're talking about women in tech. We know that the number of women in technical roles is is still pretty low, but there's so much data that shows that companies that have even 30% females on their executive staff are more performant and more profitable. So that thought diversity is important, but we need more women to be able to feel that empowerment I think that you feel. >> Yes. >> So when you think of International Women's Day with the theme of breaking the bias, what does that mean to you and where do you feel we are in terms of breaking the bias? >> Yeah, so it's interesting, I was just on a working group with some of my colleagues from our larger organization at AWS. And we were talking about, what are different kinds of bias and what our strategies to go ahead and combat them. The fact is we are all making progress and it has to be in one step at a time. I don't think that if we snapped our fingers, things would just go away. You have to take one step at a time. I also come at it from a data perspective, right? I'm a data person. I work with data. And like I said, data is, or data are, if you want to be correct. Data are impersonal, right? They are just statistics, their numbers, but you can use data to suddenly say, "Hey, where are the biases? And how can we fix them?" So I'm going to give you a great example. So my mother, again, a wonderful woman, a super amazing role model to me. She was diagnosed with breast cancer last year. And she being a smart lady, actually looked online. She went online on Google Scholar and PubMed Central. And she said, "May, look..." May is my little nickname. She goes, "Look at these numbers." She said, "My prognosis is terrible. Look at these numbers, how can you say that this is worth it. That chemotherapy is worth it." And I looked at it and I said, "Mom, I hate to break this to you. But this is a retrospective study of several thousand women from the Bavarian cancer registry." And you might guess I am not a Bavarian origin. I had a chat with her and I said, "Mom, let's look at the data. What are the data? And how can you take away stuff from this with the caveat that you may very well not have the same genetic background as some of the women or most of the women in this registry." There are biases. We know when we look at population sequencing, when we look at the people who are sequenced, the people who put in medical survey information. There are not representations of certain ethnicities of certain sexes, of certain parts of the country. One of the things I really want to do in the next three years is say, how can we support people who are trying to increase representation and research so that every single woman gets the right care and can feel like they are themselves represented in what we call precision medicine or personalized care. >> Absolutely. >> That's a long story. >> It was a great story. >> That was a long answer to answer your question. >> You talked about how your mom was a great inspiration to you and it sounds like you've been quite a great inspiration to her as well. Was a delight talking with you, Erin. Congratulations on your success on being able to be one of those people that is helping to break the bias. We appreciate your time. >> Thanks, Lisa. >> My pleasure. For Erin Chu, I'm Lisa Martin. You're watching Women in Tech: International Women's Day, 2022. (upbeat music)

(gentle music) (background chattering) >> Welcome to theCUBE's continuous coverage of AWS re:Invent 2021. I'm Dave Nicholson, and we are running one of the largest, most important hybrid events in the technology business. We've got two live sets here in Las Vegas, along with our two studios back home. And I'm absolutely delighted to have two fantastic guests with me. I'm joined by Stephen Manley, Chief Technology Officer from Druva. Stephen, welcome. >> Thanks, great to be here. >> Welcome back to theCUBE. >> I know. >> CUBE alumni. >> Love theCUBE. >> Along with Jake Burns, Enterprise Strategist from AWS, which I think stands for Amazon Web Services. >> You are correct, thank you. >> Fantastic, so the first question to you Jake is, well, first welcome, again, enterprise strategist, what does that mean exactly? >> Yeah, so- >> What do you do? (laughing) >> We're a team of former CIOs and CTOs who have all spent most of our time as customers and have all had large-scale success digitally transforming our organizations using the AWS Cloud. And now we work for AWS and we advise and work with some of our largest customers, share what worked for us, what didn't, and help them with the beginning stages of their cloud journey. >> Fantastic. >> And, Dave. Dave, you got to ask him, in the last year how many customers have you met? >> Oh, in the past year, I'm averaging about 150 to 200 different customers per year. >> Nice. >> So in the past three years, it's about 550. >> Nice. So can you remember all their names? Or do you do a lot of, "Hey, buddy. Hey, Sport." >> Jake: It's a lot harder with the masks on. >> Yes. >> But I recognize faces better than I remember the names. >> And Stephen, tell us about Druva. >> Yeah, so Druva, we are a SaaS data protection company. We built the first data resiliency cloud. So think of this as you might have data in endpoints, your data center, in AWS, in SaaS applications, and we're really shifting the discussion from, it's not just about backing it up, it's not just about protecting it anymore. It's about how do you recover it? how do you make sure your data is always on, always available to you? And that's really where we're trying to take the conversation. Is making sure that your data is there when you need it. >> And to be clear, this isn't just about resiliency for data that's in the cloud? This is also- >> Everywhere. >> on-premises? IT as well? >> On-premises, you might have VMs, you might have NAS servers, you might have Oracle databases on-prem, again, you might have endpoints. You might have Salesforce data, all of it. We want to make sure all your data's available to you. >> So let's focus on the relationship between Druva and AWS for a minute. It's always interesting to hear about success stories. Let's talk about inhibitors. What are the things that keep the two of you up at night? What are some of the things that... You talked about former CIOs and CTOs, CTOs like Stephen, you're working with existing CIOs and CTOs in all sorts of organizations, what are the things that are preventing them from leveraging cloud as well as they could be? Stephen, start with you on that. >> Yeah, I'll say the first thing is everybody right now is terrified of Ransomware, right? I met a CIO last night and he said, "My entire agenda for 2021, and now 2022 is security, security, security." And everyone is just searching for solutions to say, "How can I make sure that my environment is secure? How can I make sure my data is secure? Especially from these pretty much ubiquitous Ransomware attacks, because until I get that taken care of, it's really hard for me to get on these cloud transformation journeys." And so a lot of the discussion we have with them is, again, Druva in combination with AWS can actually help solve that Ransomware challenge for you so that instead of thinking it as, "Do one, and then you can do the cloud transformation." Let's put those two together, right? But for me, that's the number one thing, is people are just worried about how they're going to deal with security. >> So they're worried, but Jake, isn't it true, we'll do a little perimysium here. (laughing) Tell me the truth. >> All right. >> Isn't that the case that some people still think that effectively their money is safer under their mattress than in a bank? In other words, "I feel safer with on-prem IT than I do having it in some cloud somewhere." Are we still facing that sort of cultural divide between reality and perception? >> Yeah, there's definitely an education, widespread education effort going on right now. Training and certification, which AWS has a lot of experience with and has fantastic courses I went through when I was a customer, my team went through when we were a customer, we were able to get up-skilled very quickly. That fear of the unknown really the way to solve it is through information, through knowing how the cloud works. And it was so funny, I was just having a conversation right before this with an executive team of one of our largest customers and they were talking about how their CSO was dead set against the cloud and then one day did a complete 180. And we're seeing this all the time. When they realize what the cloud is, all the compliance and controls that we have, all of the redundancy that we have, all the benefits of being in the cloud. Then it seems to be like, there's just a moment where it clicks and then people become strong advocates. So there is still a lot of work to do in that area, but we find that people get it very quickly. >> Yeah, Stephen, you've had a long and illustrious career, I say that seriously. >> Stephen: There you go. >> And so you're living that bridging the divide between the old world of on-premises IT and cloud. What are you seeing in that regard in terms of where people's emotions are? >> Oh yeah, and that transformation that Jake talks about, I see it all the time where I'll sit down with a customer and it is exactly that, "Well, I have this on an appliance and because that appliance is under my control, I feel safer." And then we start talking about what the real threats are, that, let's face it Ransomware can come through your environment and it gets in anywhere and it can spread everywhere. And internal threats, internal bad actors, they can get at your appliances. And it very quickly shifts that conversation from, "Oh my gosh, how am I going to maintain all this? I have to do security patching, and upgrades, and I've got to watch everything." And Druva a sort of sits and says, "One of the great things that we had because we're built natively on AWS, a lot of the problems I worried about back when I built appliances are gone. I don't have to worry about capacity planning because AWS always gives me more. I don't have to worry about provisioning new equipment because it just automatically scales for me. I don't have to worry about a lot of the networking challenges that I used to have to worry about because it's built into the environment." And so a lot of what we talked to them about is, by taking these sort of daily routine things off the table, you can actually focus on the higher level value. You can focus on making your environment more secure because you're not just doing the basic blocking and tackling 'cause that's being done for you. And that really gets people sort of across that chasm. >> So you talk about basic block and tackle, in the keynote today, it was mentioned that there are 475 different types of instances within AWS. That gave me a little jolt to the heart because I was thinking back to Steve Jobs saying, "We can only have three of everything." And so sometimes with choice and with flexibility comes complexity. How does Druva manage the potential complexity that exists in the AWS space? How do you take what's best from AWS and deliver it to Druva customers to achieve what they want to achieve? >> Yeah, I think for us, that's really the benefit of being a SaaS provider is, we've designed a system from the ground up for AWS. And so, whether you're talking about the different storage types, where you've got S3, you've got Glacier, you've got Glacier Deep Archive. You have all the different instance types. You have different container services, ECS, EKS, there's all these choices. And frankly, it's something that we've spent a lot of time working on. And honestly, tons of people like Jake inside of AWS willing to help us. We characterize our workload and then they walk us through what's sort of the best practices so that we can deliver an end to end solution for the customer. So that, for our customers, it's just one simple cost, right? How much data are you storing? That's it, right? All the things happening in the background we take care of. And we take care of because we have AWS helping us design and implement this the best possible way. >> And so Jake, with all of the customer conversations that you've had, I'm sure we can guess what some of the themes have been over the last year or two with the pandemic and with things related to security. What are some of the other conversations that you're having with customers that people might not expect? >> Yeah. >> Based on what's going on? >> I think the biggest thing that would be surprising to most people is that vast majority of our conversations are about culture and about people, not about technology. We've gotten to a point where, and I've said this for a number of years, there's never been a better time to move to cloud, but that just keeps being more and more true as time goes on, as the technology gets more mature and as we have more and more examples of people who are very successful doing it. But like you said earlier, there are still some people who are used to the old way of doing things. So it's really largely an education issue, it's a culture issue. It's getting people to wrap their heads around this new way of doing things. And once they see that they get very excited about it. We very rarely see people who are kind of neutral about it. The very, very beginning stages, sometimes they're fearful. When they learn what it is they get very excited and they get very enthusiastic. And my advice to customers is to get your team excited and enthusiastic as early as possible, and they'll solve all of those process and technology problems very quickly and very easily. >> Now what are you seeing in terms of any skill gaps or skill divides? We, coming from a background where we're bridging the divide between sort of the legacy world and cloud. You have IT practitioners that have been doing this stuff for a long time. >> Right. >> That either need to move into the future or not. >> Right. >> Or you need to hire new people. Are there any challenges there in terms of finding the skill sets you need versus training up existing people? >> Yeah, so this is something I talk about a lot, and you do have a choice between hiring and trying to use the people you have and get them up skilled. I strongly favor the second. For one, it's very difficult to hire for cloud skills because it's in such high demand right now, but you use that to your advantage. And by training your staff, it's one of the kind of carrots you can use to get them excited about it. "You learn this, you will be valuable in the marketplace." And when you frame it that way, they get very excited to learn. And when you combine the training with the firsthand experience and give them opportunities to use it, and this could be everyone in the organization, it doesn't have to be like your engineering team or your infrastructure team. I had people in the help desk that learned how to become cloud engineers. When you give them that opportunity, and you give them the tools to do it, and the opportunity to use it with the training, it tends to be a much easier recipe for success. And then your problem becomes retention. But like I say, you're going to have either the problem of hiring or, retention, or you're going to have the problem of having people who don't have enough skills. I'd rather have the problem of retention. And if you have that capability of up-skilling people, then you don't really need to worry about it because there's more people all the time that are becoming more and more skilled. The other thing is, it's a lot easier to overlay cloud skills on top of people who already know your organization and your applications, than bring in new people- >> Sure. >> who have cloud skills, try to retain them and then teach them how your organization works. So there's a lot of advantages to using the people that you have, and the training is a lot easier than people think. >> So who were the people in those organizations that are making the decision to go with Druva? >> [Stephen} Right. >> And who are the people in organizations who are then managing Druva environments moving forward? Do you need a PhD in Druva- (laughing) >> Stephen: Right. >> to be able to manage an environment like that? >> I'll tell you one of the things that I talk to a lot of customers about that are going through sort of that, "How do I up skill?" Is, the first thing we try to remind them is, don't just about what you did on-premises, and then say, "And we're going to do the exact same thing in cloud." Because that is usually a path to either frustration or failure. "I had a physical appliance, I'm going to run a virtual appliance." That's not usually the right answer. So a lot of times we spend time walking them through, "Here's how you think differently. Again, cloud is dynamically scalable. You want something that breaks apart those limits. Cloud gives you 475 options, which means you have purchasing power that you never had as a company that you can have so many different options in front of you." So think of these not as how you thought of your on-premises environment, but think of it as a new way of doing things. And so what we find is the people who tend to be most attracted to Druva are those customers who are saying, "I'm spending too much time, effort, and money on my data protection environment." Which basically is everybody. Nobody wakes up and says, "I wish I could spend more time and money doing backup." And then in terms of who runs it, what we find is it often gets absorbed in sort of a cloud administrator task, right? Where they're looking more broadly across the organization. It's not just about backup, it's backup, it's disaster recovery, it's security, it's compliance because they're looking at the data as opposed to the infrastructure at that point. And that's where they can really start to grow their careers and have a lot bigger impact inside their companies. >> So I can tell that you're an awesome guy to have at a party, because you'll talk about all the risks that we face. >> Absolutely! >> Talking about data center fire drills, you're literally talking about fires and drills at that point. >> You got it. >> But so what's on the horizon for Druva? What are the things that you... When you look out into the future, in the area of resiliency, what are some of the things that you're thinking about? >> There's a couple of things for me. I think one of them, again, Ransomware is everywhere. And so many people right now are still focused on just, "Can I get a clean copy? Can I get a safe copy?" That's built into Druva. So, we're beyond that. The real focus for me is, how do we streamline your recovery process? Because for so many customers, they make this assumption that a Ransomware recovery is just like a disaster recovery. And it's not, it's not as if you just had a system outage. Someone has invaded your environment and you need to make sure that the data, the environment is clean before you recover. You're going to want clean sandboxes to play around with things before you put it in, you're going to need to work with your legal team. So a lot of what we're working with is helping them orchestrate at larger scale. I think the other area that gets really interesting is this notion of autonomous, right? We talk about self-driving cars. Again, nobody wants to spend time tuning and managing their backup environment. So as Druva moves forward it's, "How can we just do this automatically for you?" Again, we're built in the cloud, everything scales automatically. You as a customer shouldn't have to be doing anything. You shouldn't be babysitting this. Let us take care of it for you. So for me, those are the really two big things. It's cybersecurity, that full end to end recovery, and it's around the autonomous protection. >> So Jake, a reality check, anything that he just said that sounds like... (laughing) sounds out of line based on your experience talking to customers in the last year? >> Jake: No, I agree with that. And I think we're touching on something that's really powerful here, because you kind of alluded to the choice that people have in AWS and we're creating new services all the time and new features all the time, right? So these are building blocks that companies can use. And there's a lot of builders at a lot of companies that get very excited to see all these building blocks, and it's about using the right tool for the job. So by giving you more choices, we're giving you more of an opportunity to find the exact fit for the workload you have. But if you just want it to work, then we have this partner of ecosystems. Druva being one of our... My personal favorites (laughing) >> Love you , Jake. >> that build on AWS, use these very resilient, very secure building blocks to build something that's turnkey for a customer. So I think it's a great marriage and it benefits customers ultimately. So it makes us happy. >> All right, well 2022 we expect this gentlemen here to see at least 300 customers to meet his goal. That's what we're expecting from you, Jake. >> All right, I'm on it. >> Thanks to all for joining us here at theCUBE's, continuous coverage of AWS re:Invent 2021, I almost said 2022, live from Las Vegas. Stay tuned for much more from the leader in hybrid technology event programming, theCUBE. (gentle music)

(innovative music) >> Welcome back to theCUBE's continuous coverage of AWS re:Invent 2021. My name is Dave Vellante, and we are running one of the industry's most important and largest hybrid tech events of the year. Hybrid as in physical, not a lot of that going on this year. But we're here with the AWS ecosystem, AWS, and special thanks to AMD for supporting this year's editorial coverage of the event. We've got two live sets, two remote studios, more than a hundred guests on the program. We're going really deep, as we enter the next decade of Cloud innovation. We're super excited to be joined by Danny Allan, who's the Chief Technology Officer at Veeam, and James Kirschner who's the Engineering Director for Amazon S3. Guys, great to see you. >> Great to see you as well, Dave. >> Thanks for having me. >> So let's kick things off. Veeam and AWS, you guys have been partnering for a long time. Danny, where's the focus at this point in time? What are customers telling you they want you to solve for? And then maybe James, you can weigh in on the problems that customers are facing, and the opportunities that they see ahead. But Danny, why don't you start us off? >> Sure. So we hear from our customers a lot that they certainly want the solutions that Veeam is bringing to market, in terms of data protection. But one of the things that we're hearing is they want to move to Cloud. And so there's a number of capabilities that they're asking us for help with. Things like S3, things like EC2, and RDS. And so over the last, I'll say four or five years, we've been doing more and more together with AWS in, I'll say, two big categories. One is, how do we help them send their data to the Cloud? And we've done that in a very significant way. We support obviously tiering data into S3, but not just S3. We support S3, and S3 Glacier, and S3 Glacier Deep Archive. And more importantly than ever, we do it with immutability because customers are asking for security. So a big category of what we're working on is making sure that we can store data and we can do it securely. Second big category that we get asked about is "Help us to protect the Cloud-Native Workloads." So they have workloads running in EC2 and RDS, and EFS, and EKS, and all these different services knowing Cloud-Native Data Protection. So we're very focused on solving those problems for our customers. >> You know, James, it's interesting. I was out at the 15th anniversary of S3 in Seattle, in September. I was talking to Mai-Lan. Remember we used to talk about gigabytes and terabytes, but things have changed quite dramatically, haven't they? What's your take on this topic? >> Well, they sure have. We've seen the exponential growth data worldwide and that's made managing backups more difficult than ever before. We're seeing traditional methods like tape libraries and secondary sites fall behind, and many organizations are moving more and more of their workloads to the Cloud. They're extending backup targets to the Cloud as well. AWS offers the most storage services, data transfer methods and networking options with unmatched durability, security and affordability. And customers who are moving their Veeam Backups to AWS, they get all those benefits with a cost-effective offsite storage platform. Providing physical separation from on-premises primary data with pay-as-you-go economics, no upfront fees or capital investments, and near zero overhead to manage. AWS and APM partners like Veeam are helping to build secure, efficient, cost-effective backup, and restore solutions using the products you know and trust with the scale and reliability of the AWS Cloud. >> So thank you for that. Danny, I remember I was way back in the old days, it was a VeeamON physical event. And I remember kicking around and seeing this company called Kasten. And I was really interested in like, "You protect the containers, aren't they ephemeral?" And we started to sort of chit-chat about how that's going to change and what their vision was. Well, back in 2020, you purchased Kasten, you formed the Veeam KBU- the Kubernetes Business Unit. What was the rationale behind that acquisition? And then James, I'm going to get you to talk a little bit about modern apps. But Danny, start with the rationale behind the Kasten acquisition. >> Well, one of the things that we certainly believe is that the next generation of infrastructure is going to be based on containers, and there's a whole number of reasons for that. Things like scalability and portability. And there's a number of significant value-adds. So back in October of last year in 2020, as you mentioned, we acquired Kasten. And since that time we've been working through Kasten and from Veeam to add more capabilities and services around AWS. For example, we supported the Bottlerocket launch they just did and actually EKS anywhere. And so we're very focused on making sure that our customers can protect their data no matter whether it's a Kubernetes cluster, or whether it's on-premises in a data center, or if it's running up in the Cloud in EC2. We give this consistent data management experience and including, of course, the next generation of infrastructure that we believe will be based on containers. >> Yeah. You know, James, I've always noted to our audience that, "Hey AWS, they provide rich set of primitives and API's that ISV's like Veeam can take advantage of it." But I wonder if you could talk about your perspective, maybe what you're seeing in the ecosystem, maybe comment on what Veeam's doing. Specifically containers, app modernization in the Cloud, the evolution of S3 to support all these trends. >> Yeah. Well, it's been great to see Veeam expands for more and more AWS services to help joint customers protect their data. Especially since Veeam stores their data in Amazon S3 storage classes. And over the last 15 years, S3 has helped companies around the world optimize their work, so I'd be happy to share some insights into that with you today. When you think about S3 well, you can find virtually every use case across all industries running on S3. That ranges from backup, to (indistinct) data, to machine learning models, the list goes on and on. And one of the reasons is because S3 provides industry leading scalability, availability, durability, security, and performance. Those are characteristics customers want. To give you some examples, S3 stores exabytes the data across millions of hard drives, trillions of objects around the world and regularly peaks at millions of requests per second. S3 can process in a single region over 60 terabytes a second. So in summary, it's a very powerful storage offering. >> Yeah, indeed. So you guys always talking about, you know, working backwards, the customer centricity. I think frankly that AWS sort of change the culture of the entire industry. So, let's talk about customers. Danny do you have an example of a joint customer? Maybe how you're partnering with AWS to try to address some of the challenges in data protection. What are customers is seeing today? >> Well, we're certainly seeing that migration towards the Cloud as James alluded today. And actually, if we're talking about Kubernetes, actually there's a customer that I know of right now, Leidos. They're a fortune 500 Information Technology Company. They deal in the engineering and technology services space, and focus on highly regulated industry. Things like defense and intelligence in the civil space. And healthcare in these very regulated industries. Anyway, they decided to make a big investment in continuous integration, continuous development. There's a segment of the industry called portable DevSecOps, and they wanted to build infrastructure as code that they could deploy services, not in days or weeks or months, but they literally wanted to deploy their services in hours. And so they came to us, and with Kasten K10 actually around Kubernetes, they created a service that could enable them to do that. So they could be fully compliant, and they could deliver the services in, like I say, hours, not days or months. And they did that all while delivering the same security that they need in a cost-effective way. So it's been a great partnership, and that's just one example. We see these all the time, customers who want to combine the power of Kubernetes with the scale of the Cloud from AWS, with the data protection that comes from Veeam. >> Yes, so James, you know at AWS you don't get dinner if you don't have a customer example. So maybe you could share one with us. >> Yeah. We do love working backwards from customers and Danny, I loved hearing that story. One customer leveraging Veeam and AWS is Maritz. Maritz provides business performance solutions that connect people to results, ensuring brands deliver on their customer promises and drive growth. Recently Maritz moved over a thousand VM's and petabytes of data into AWS, using Veeam. Veeam Backup for AWS enables Maritz to protect their Amazon EC2 instances with the backup of the data in the Amazon S3 for highly available, cost-effective, long-term storage. >> You know, one of the hallmarks of Cloud is strong ecosystem. I see a lot of companies doing sort of their own version of Cloud. I always ask "What's the partner ecosystem look like?" Because that is a fundamental requirement, in my view anyway, and attribute. And so, a big part of that, Danny, is channel partners. And you have a 100 percent channel model. And I wonder if we could talk about your strategy in that regard. Why is it important to be all channel? How to consulting partners fit into the strategy? And then James, I'm going to ask you what's the fit with the AWS ecosystem. But Danny, let's start with you. >> Sure, so one of the things that we've learned, we're 15 years old as well, actually. I think we're about two months older, or younger I should say than AWS. I think their birthday was in August, ours was in October. But over that 15 years, we've learned that our customers enjoy the services, and support, and expertise that comes from the channel. And so we've always been a 100 percent channel company. And so one of the things that we've done with AWS is to make sure that our customers can purchase both how and when they want through the AWS marketplace. They have a program called Consulting Partners Private Agreements, or CPPO, I think is what it's known as. And that allows our customers to consume through the channel, but with the terms and bill that they associate with AWS. And so it's a new route-to-market for us, but we continue to partner with AWS in the channel programs as well. >> Yeah. The marketplace is really impressive. James, I wonder if you could maybe add in a little bit. >> Yeah. I think Danny said it well, AWS marketplace is a sales channel for ISV's and consulting partners. It lets them sell their solutions to AWS customers. And we focus on making it really easy for customers to find, buy, deploy, and manage software solutions, including software as a service in just a matter of minutes. >> Danny, you mentioned you're 15 years old. The first time I mean, the name Veeam. The brilliance of tying it to virtualization and VMware. I was at a VMUG when I first met you guys and saw your ascendancy tied to virtualization. And now you're obviously leaning heavily into the Cloud. You and I have talked a lot about the difference between just wrapping your stack in a container and hosting it in the Cloud versus actually taking advantage of Cloud-Native Services to drive further innovation. So my question to you is, where does Veeam fit on that spectrum, and specifically what Cloud-Native Services are you leveraging on AWS? And maybe what have been some outcomes of those efforts, if in fact that's what you're doing? And then James, I have a follow-up for you. >> Sure. So the, the outcomes clearly are just more success, more scale, more security. All the things that James is alluding to, that's true for Veeam it's true for our customers. And so if you look at the Cloud-Native capabilities that we protect today, certainly it began with EC2. So we run things in the Cloud in EC2, and we wanted to protect that. But we've gone well beyond that today, we protect RDS, we protect EFS- Elastic File Services. We talked about EKS- Elastic Kubernetes Services, ECS. So there's a number of these different services that we protect, and we're going to continue to expand on that. But the interesting thing is in all of these, Dave, when we do data protection, we're sending it to S3, and we're doing all of that management, and tiering, and security that our customers know and love and expect from Veeam. And so you'll continue to see these types of capabilities coming from Veeam as we go forward. >> Thank you for that. So James, as we know S3- very first service offered in 2006 on the AWS' Cloud. As I said, theCUBE was out in Seattle, September. It was a great, you know, a little semi-hybrid event. But so over the decade and a half, you really expanded the offerings quite dramatically. Including a number of, you got on-premise services things, like Outposts. You got other services with "Wintery" names. How have you seen partners take advantage of those services? Is there anything you can highlight maybe that Veeam is doing that's notable? What can you share? >> Yeah, I think you're right to call out that growth. We have a very broad and rich set of features and services, and we keep growing that. Almost every day there's a new release coming out, so it can be hard to keep up with. And Veeam has really been listening and innovating to support our joint customers. Like Danny called out a number of the ways in which they've expanded their support. Within Amazon S3, I want to call out their support for our infrequent access, infrequent access One-Zone, Glacier, and Glacier Deep Archive Storage Classes. And they also support other AWS storage services like AWS Outposts, AWS Storage Gateway, AWS Snowball Edge, and the Cold-themed storage offerings. So absolutely a broad set of support there. >> Yeah. There's those, winter is coming. Okay, great guys, we're going to leave it there. Danny, James, thanks so much for coming to theCUBE. Really good to see you guys. >> Good to see you as well, thank you. >> All right >> Thanks for having us. >> You're very welcome. You're watching theCUBE's coverage of 2021 AWS re:Invent, keep it right there for more action on theCUBE, your leader in hybrid tech event coverage, right back. (uplifting music)

>>Hey, welcome to this cube conversation with Dell technologies. I'm Lisa Martin. I've got kosha ghost here with me. He's back on the cube director of product management for unified NAS solutions at Dell technologies. CATIA. Great to see you again. >>Yes. I raped a great to be here again. >>We're going to be talking about the major announcement that Dell technologies just made with their scale-out file storage system that has Dell EMC power scale. We're going to unpack the recent announcement, new features, capabilities, all that good stuff. Kaushik let's go ahead and start. Just give us that high level view of Dell EMC power scale. >>Yes, absolutely. Itself power scale is a high-performance scale-out file storage solution. Um, it's the successor to the Isilon family record, which as you guys know, I mean, there's one of the leading file solutions in the market today. Um, power scale one best, which is the file system that runs on power scale and also the Isilon family, um, is offers an exceptional simplicity, flexibility, and performance, um, which is what Isilon and Parscale is known for. I mean, um, if you look at Gardner's magic ordered one, Fs has been listed as the leader in that, uh, in the distributed and object file system. So, uh, so that basically is now our scaled. We launched our first Parscale all flash products last year. And then this year with this launch, we are sort of completing that portfolio, um, with, uh, with new hybrid and archive, uh, platforms. >>Excellent. And we're going to get into that as well. Let's go ahead and start unpacking this announcement. Walk me through some of the key things that are new and announced in this recent announcement. >>Yeah, except we just launched the hybrid archive platforms, um, on, as part of the Parscale family, are there two archive platforms and two hybrid platforms that we launched and, uh, they offer better CPU, performance, cash, and all that stuff, but, but we don't want to go into the speeds and feeds what I really want to hide breast is the, is the software capabilities that is far skull rings for starters. Um, it is, uh, it now includes inline data compression in 99 reduction. It's all built into it. Um, we support now new ransomware protection capabilities with, uh, with this product. Um, there's a new data protection capability that we now support with our, um, with our, our protected data data manager. Um, and, um, and then the, all the goodness of, uh, Iceland, one Fs and Parscale one Fs that sort of continues. >>I imagine, since the launch last year, cash took a lot of customer conversations that helped to drive this launch and the complete transition on the innovation of what we now see as power scale. >>Yeah. Yeah. I mean, uh, there, there have been some great conversations. People have been, um, people have been really waiting for this product offering because now, uh, they can basically combine those flash platforms that we launched last year with these hybrid platforms and can offer a really a solution that only gives you that performance, but also the, the cost and, uh, savings and the value that, um, that, uh, only our powers skill in Iceland can give you, >>Give me a good overview of some of those key capabilities that the existing Isilon customers and the prospective new customers of power scale are going to be able to take advantage of. >>Yes. So the new, some of the new capabilities as in line efficiency, as I mentioned earlier, that's now built into the product. Um, we have a line efficiency today on our all flash platforms. Uh, so now introducing it with these hybrid and archived nodes, what that means is that when you set up a mixed cluster with all flash and hybrid, when you gear the data down from the national hybrid, the data does not have to be rehydrated. They stay compressed, they stay in protected and so on and so forth. So that's one big advantage that you get. Second, um, these power skill hybrid type platforms were built ground up, uh, with our own custom hardware, unlike the flashback phones with be leverage powered servers for these ones, we use our custom hardware. And the reason for that is because what those archive and storage, the whole story we want that density, we can store up to 500 terabytes of usable capacity, effective usable capacity in, in these archive nodes in a single, uh, one U rack unit. And then, uh, of course, uh, from a software perspective, uh, we talked about ransomware protection. So, so we have a new capability with trends of bear protection. And then there's this new capability that we just launched in regard to backups, more efficient, more faster backups with, uh, with our, our protector will be bought predict family of products. >>Excellent. I want to dig into the ransomware and data protection in a minute, but I want to get a sense of the overall theme of the launch. You talked about this being the completion of that tech refresh some of the new capabilities and enhancements that customers are going to be able to take advantage of it. Give me that higher level kind of thematic look at this news. >>The big team of this is basically finishing that Parscale family that we started last year, right? So we started with launching the whole flash. Now with this hybrid and archive. Now we have the flu family done, um, all products, not support in line efficiency, so we can move the data around, you get the same, uh, data doesn't get high rehydrated. Um, you are, you can make it part of a single cluster. Um, and you get all the performance benefits, um, the scalability benefits of one Fs, um, and new data management capabilities, the, um, so all of that, that we started all of that goodness that we started with our skill, all flash. Um, we soft, continued now with this, uh, with this platform. >>Got it. And I know you guys did your own internal study and I'd like you to share some of the results with the audience, you guys compared power scale to competitors in traditional NAS in flash only NAS in mixed NAS, San and software only NAS give us a snapshot into what some of those results were for power scale. >>Yeah. I mean, uh, the big take away out here is that, um, that when it comes to power scale, um, they, we don't have a competitor when it comes to scalability, right? Uh, the fact that you can now work, uh, on petabytes of capacity under a single namespace, a single file system, and also give you that performance. Um, we, there is none to today, right? And, um, and then there may be some which can do those also, but then they don't have the enterprise capabilities like replication, um, and, uh, the rich enterprise capabilities that one, if fit, sets so off performance, scale capabilities and all the, uh, the simplicity of one Fs. And that's basically what the unique thing about our skaters >>W performance scale and simplicity, three things that I'm sure enterprises, small, medium businesses in any industry appreciate you. You talked about the, um, what's new in terms of the hybrid notes and the archive nodes. Can you help us understand what workloads does nos are best targeted for? >>Absolutely so hybrid and archive. What we have realized is that not every data can be a compressed RDU, right? So, so it's not, we would love customers to use our all flash products. They get the deduplication, they get the compression, then it lowers the cost. And clearly then you get the performance and the cost, but there are workloads like media and entertainment, video surveillance, where you will not be able to compress or that guest, rather than it being for a very expensive flash. You could put those data sets in our lower cost archive platforms as an example. And if you have situations where look, I need some performance, but there is a lot of old data and you can actually mix and match it also. So you're going to have those flash platform is giving that performance. And then you have our archive platforms, which is basically giving you the lowest cost storage for that data. And it is not so frequent giving access. >>And there's the flexibility there. So how can, this is the tech refresh? He said, this has been completed now a power scale from Isilon. How can existing Isilon customers take advantage? What are their next steps to be able to take advantage of the newer capabilities and technologies? >>Yeah, absolutely. I mean, one thing we, we, our scale has it, that's very different from others is that Parscale has this mantra called the no, no left behind. So if you are an existing Isilon customer, you can basically add these Parscale nodes to your existing Iceland cluster without breaking any donut. Then we put our scale, we lock them, magically redistribute, rebalance your workloads across these new nodes. And you sort of keep on expanding our cluster. And when you, when you feel like that, you can, uh, take out the older nodes, uh, at the time of your choosing, right? So that stuff, um, that's a huge benefit that we get. So in fact, in some customer environments, their data has been there for almost 10 to 12 years now, uh, uh, because they've never had to do a forklift upgrade. So that sort of continues with this family. Um, if you learn to learn more about it, I would encourage, uh, going to Dell technologies slash power scale, uh, or contact your Dell technologies, uh, rep >>Let's kind of wrap up things here with talking about, dig into ransomware. We've seen ransomware become a household word, the colonial pipeline, the meat packing organization that was attacked earlier this summer. We know that that a lot of data show that there's a one ransomware attack happens every 11 seconds. And of course we only hear about the really big attacks. Um, I've had the opportunity to talk to a lot of cybersecurity leaders lately, and they're showing that ransomware is up, you know, at least 10 X in the last year with this massive pivot to work from home now, work from anywhere. Talk to me about some of the focus that Dell has put in power scale now with perspective of ransomware protection and recovery. >>Yeah. So for ransomware product, we have to do things that we are doing. So one is this concept of a detection. So when an attack is happening, we want it to be able to detect with date at an attack is happening and take some corrective measures, right? And so we have this product called Sabrina eyeglass, which is exclusively built for, uh, uh, built for, uh, uh, our scale and using this product they use, we use AIS, uh, to basically to figure out that if an attack is happening, we detect it. And based on that based on policies, we can then either, if it's happening with only one user, we can start off, um, uh, start off, uh, prevent, uh, sort of lock it down that particular user profile or, or take other corrective actions taking meaning set up. So that's one aspect of it, which is about the detection of it and taking some quick steps. >>Then there's a second aspect of it, which is all about recovery, right? So, so we do have a replications event. If the customer chooses, we can have reputations set up from your Parscale, uh, production cluster to another cluster. And, um, and in that replication, uh, we can introduce an air gap so that, uh, any, anything bad thing is happening here does not get, uh, uh, does not get replicated to that, uh, remote in mine. So, um, so, so those are the two ways, one detecting, and second basically protecting it. Um, and not only just protecting it, but ensuring that air gap, um, capabilities, data as well, so that, uh, the ransom reason not replicated there as well. >>Absolutely critical. Given some of the things that you and I mentioned a few minutes ago in terms of the explosion of ransomware, which hopefully in our remote, remote work hybrid environment, as more technologies like this come out from Dell technologies and its partners, we'll start to see those ransomware numbers go down. Lastly, I want you to just restate, you mentioned a URL where folks can go to learn more information. Now you've got several different links to point folks to, can you go ahead and remind us what those are again? >>Yes, absolutely. I mean, uh, the easiest you are to go to is Dell technologies slash flower scale. I mean, if you're, that's a one-to-one URL and I'd like you to remember, once you go there, there'll be videos, articles, blogs, and you can, uh, look through a much going and then whatever you want from them. >>Excellent contract. Thank you for joining me today. Talking to me about what's new with power scale, congratulations on the completion of the refresh, a lot of new capabilities and, and, uh, technologies that your customers, existing Isilon and feature perspective, power scale customers are going to be able to take advantage of, look forward to hearing in the next few months in customer success stories. Thanks for your time. Thank >>You >>For Casha gauche. I'm Lisa Martin. You're watching a cube conversation.

(joyful music) >> According to storage guru, Fred Moore, 60 to 80% of all stored data is archival data, leading to the need for what he calls the infinite archive. And in this world, digital customers require inexpensive access to archive data that's protected, it's got to be available, durable, it's got to be able to scale and also has to support the governance and compliance edicts of the organizations. Welcome to this next session of the AWS Storage Day with theCUBE. I'm your host, Dave Vellante. We're going to dig into the topic of archiving and digitally preserving data and we're joined by Joe Fitzgerald, who's the general manager of Amazon S3 Glacier. Joe, welcome to the program. >> Hey, Dave. It's great to be here. Thanks for having me. >> Okay, I remember early last decade, AWS announced Glacier, it got a lot of buzz. And since then you've evolved your archival storage services, strategy and offerings. First question: why should customers archive their data in AWS? >> That's a great question. I think Amazon S3 Glacier is a great place for customers to archive data. And I think the preface that you gave, I think, covers a lot of the reasons why customers are looking to archive data on the cloud. We're finding a lot of customers have a lot of data. And if you think about it, most of the world's data is cold by nature. It's not data that you're accessing all the time. So if you don't have an archival story as part of your data strategy, I think you're missing out on a cost savings opportunity. So one of the reasons we're finding customers looking to move data to S3 Glacier is because of cost. With Glacier Deep Archive, we have an industry-leading price point of a dollar per terabyte per month. I think another reason that we're finding customers wanting to move data to the cloud, into Glacier, is because of the security, durability and availability that we offer. Instead of having to worry about some of the most valuable data that your company has and worrying about that being in a tape library that doesn't get access very often on premises or offsite in a data locker that you don't really have access to, and we offer the best story in terms of the durability and security and availability of that data. And I think the other reason that we're finding customers wanting to move data to S3 Glacier is just the flexibility and agility that having your data in the cloud offers. A lot of the data, you can put it in Deep Archive and have it sit there and not access it but then if you have some sort of event that you want to access that data, you can get that back very quickly, as well as put the power the rest of the AWS offerings, whether that's our compute offerings, our machine learning and analytics offerings. So you just have unmatched flexibility, cost, and durability of your data. So we're finding a lot of customers looking to optimize their business by moving their archive data to the cloud. >> So let's stick on the business case for a minute. You nailed the cost side of the equation. Clearly, you mentioned several of the benefits, but for those customers that may not be leaning in to archive data, how do they think about the cost-benefit analysis when you talk to customers, what are you hearing from them, the ones that have used your services to archive data, what are the benefits that they're getting? >> It's a great question. I think we find customers fall into a few different camps and use cases and one thing that we recommend as a starting point is if you have a lot of data and you're not really familiar with your access patterns, like what part of the data is warm, what part is cold? We offer a storage class called S3 intelligent tiering. And what that storage class does is it optimizes the placement of that data and the cost of that data based on the access patterns. So if it's data that is accessed very regularly, it'll sit in one of the warmer storage tiers. If it's accessed infrequently, it'll move down into the infrequent access tier or to the archive or deep archive access tiers. So it's a great way for customers who are struggling to think about archive, because it's not something that every customer thinks about everyday, to get automatic cost savings. And then for customers who have either larger amounts of data or better understand the access patterns, like some of the industries that we're seeing, like autonomous vehicles, they might generate tons of training data from running the autonomous vehicles. And they know, okay, this data, we're not actively using it, but it's also very valuable. They don't want to throw it away. They'll choose to move that data into an archive tier. So a lot of it comes down to the degree to which you're able to easily understand the access pattern of the data to figure out which storage class and which archive storage class maps best to your use case. >> I get it, so if you add that deep archive tier, you automagically get the benefit, thanks to the intelligent tiering. What about industry patterns? I mean, obviously, highly regulated industries have compliance issues and you have data intensive industries are going to potentially have this because they want to lower costs, but do you see any patterns emerging? I mean every industry needs this, but are there any industries that are getting more bang from the buck that you see? >> I would say every industry definitely has archived data. So we have customers in every vertical segment. I think some of the ones that we're definitely seeing more activity from would be media and entertainment customers are a great fit for archive. If you think about even digital native studios who are generating very high definition footage and they take all that footage, they produce the movie, but they have a lot of original data that they might reuse, that you remaster, director's cut, to use later, they're finding archive is a great fit for that. So they're able to use S3 Standard for their active production, but when they're done finishing a movie or production, they can save all that valuable original footage and move it in deep archive and just know that it's going to be there whenever they might need to use it. Another use case, we're staying in media, entertainment, similar to that and this is a good use case for S3 Glacier is if you have sports footage from like the '60s and then there's some sort of breaking news event about some athlete that you want to be able to cut a shot for the six o'clock news, with S3 Glacier and expedited retrievals, you're able to get that data back in a couple of minutes and that way you have the benefit of very low cost archive storage, but being able to get the immediacy of having some of that data back when you need it. So that's just some of the examples that we're seeing in terms of how customers are using archives. >> I love that example because the prevailing wisdom is the older data is, the less valuable it is, but if you can pull a clip up of Babe Ruth at the right time, even though it's a little grainy, wow, that's huge value for the-- >> We're finding like lots of customers that they've retained this data, they haven't known why they're going to need it, they just intrinsically know this data is really valuable, we might need it. And then as they look for new opportunities and they're like, hey, we're going to remaster this. And they've gone through a lot of digital transformation. So we're seeing companies have decades of original material moving into the cloud. We're also seeing fairly nascent startups who are also just generating lots of archive data. So it's just one of the many use cases we see from our customers love Glacier. >> Data hoarders heaven. I love it. Okay, Joe. Let's wrap up. Give us your closing thoughts, how you see the future of this business, where you want to take your business for your customers. >> Mostly, we just really want to help customers optimize their storage and realize the potential of their data. So for a lot of customers, that really just comes down to knowing that S3 glacier is a great and trusted place for their data, and that they're able to meet their compliance and regulatory needs, but for a lot of other customers, they're looking to transform their business and reinvent themselves as they move to the cloud. And I think we're just excited by a lot of emerging use cases and being able to find that flexibility of having very low cost storage, as well as being able to get access to that data and hook it up into the other AWS services and really realize the potential of their data. >> 100%, we've seen it over the decades, cost drops and use cases explode. Thank you, Joe. Thanks so much for coming on theCUBE. >> Thanks a lot, Dave. It's been great being here. >> All right, keep it right there for more storage and data insights. You're watching AWS Storage Day on theCUBE. (tranquil music)

(joyful music) >> According to storage guru, Fred Moore, 60 to 80% of all stored data is archival data, leading to the need for what he calls the infinite archive. And in this world, digital customers require inexpensive access to archive data that's protected, it's got to be available, durable, it's got to be able to scale and also has to support the governance and compliance edicts of the organizations. Welcome to this next session of the AWS Storage Day with theCUBE. I'm your host, Dave Vellante. We're going to dig into the topic of archiving and digitally preserving data and we're joined by Joe Fitzgerald, who's the general manager of Amazon S3 Glacier. Joe, welcome to the program. >> Hey, Dave. It's great to be here. Thanks for having me. >> Okay, I remember early last decade, AWS announced Glacier, it got a lot of buzz. And since then you've evolved your archival storage services, strategy and offerings. First question: why should customers archive their data in AWS? >> That's a great question. I think Amazon S3 Glacier is a great place for customers to archive data. And I think the preface that you gave, I think, covers a lot of the reasons why customers are looking to archive data on the cloud. We're finding a lot of customers have a lot of data. And if you think about it, most of the world's data is cold by nature. It's not data that you're accessing all the time. So if you don't have an archival story as part of your data strategy, I think you're missing out on a cost savings opportunity. So one of the reasons we're finding customers looking to move data to S3 Glacier is because of cost. With Glacier Deep Archive, we have an industry-leading price point of a dollar per terabyte per month. I think another reason that we're finding customers wanting to move data to the cloud, into Glacier, is because of the security, durability and availability that we offer. Instead of having to worry about some of the most valuable data that your company has and worrying about that being in a tape library that doesn't get access very often on premises or offsite in a data locker that you don't really have access to, and we offer the best story in terms of the durability and security and availability of that data. And I think the other reason that we're finding customers wanting to move data to S3 Glacier is just the flexibility and agility that having your data in the cloud offers. A lot of the data, you can put it in Deep Archive and have it sit there and not access it but then if you have some sort of event that you want to access that data, you can get that back very quickly, as well as put the power the rest of the AWS offerings, whether that's our compute offerings, our machine learning and analytics offerings. So you just have unmatched flexibility, cost, and durability of your data. So we're finding a lot of customers looking to optimize their business by moving their archive data to the cloud. >> So let's stick on the business case for a minute. You nailed the cost side of the equation. Clearly, you mentioned several of the benefits, but for those customers that may not be leaning in to archive data, how do they think about the cost-benefit analysis when you talk to customers, what are you hearing from them, the ones that have used your services to archive data, what are the benefits that they're getting? >> It's a great question. I think we find customers fall into a few different camps and use cases and one thing that we recommend as a starting point is if you have a lot of data and you're not really familiar with your access patterns, like what part of the data is warm, what part is cold? We offer a storage class called S3 intelligent tiering. And what that storage class does is it optimizes the placement of that data and the cost of that data based on the access patterns. So if it's data that is accessed very regularly, it'll sit in one of the warmer storage tiers. If it's accessed infrequently, it'll move down into the infrequent access tier or to the archive or deep archive access tiers. So it's a great way for customers who are struggling to think about archive, because it's not something that every customer thinks about everyday, to get automatic cost savings. And then for customers who have either larger amounts of data or better understand the access patterns, like some of the industries that we're seeing, like autonomous vehicles, they might generate tons of training data from running the autonomous vehicles. And they know, okay, this data, we're not actively using it, but it's also very valuable. They don't want to throw it away. They'll choose to move that data into an archive tier. So a lot of it comes down to the degree to which you're able to easily understand the access pattern of the data to figure out which storage class and which archive storage class maps best to your use case. >> I get it, so if you add that deep archive tier, you automagically get the benefit, thanks to the intelligent tiering. What about industry patterns? I mean, obviously, highly regulated industries have compliance issues and you have data intensive industries are going to potentially have this because they want to lower costs, but do you see any patterns emerging? I mean every industry needs this, but are there any industries that are getting more bang from the buck that you see? >> I would say every industry definitely has archived data. So we have customers in every vertical segment. I think some of the ones that we're definitely seeing more activity from would be media and entertainment customers are a great fit for archive. If you think about even digital native studios who are generating very high definition footage and they take all that footage, they produce the movie, but they have a lot of original data that they might reuse, that you remaster, director's cut, to use later, they're finding archive is a great fit for that. So they're able to use S3 Standard for their active production, but when they're done finishing a movie or production, they can save all that valuable original footage and move it in deep archive and just know that it's going to be there whenever they might need to use it. Another use case, we're staying in media, entertainment, similar to that and this is a good use case for S3 Glacier is if you have sports footage from like the '60s and then there's some sort of breaking news event about some athlete that you want to be able to cut a shot for the six o'clock news, with S3 Glacier and expedited retrievals, you're able to get that data back in a couple of minutes and that way you have the benefit of very low cost archive storage, but being able to get the immediacy of having some of that data back when you need it. So that's just some of the examples that we're seeing in terms of how customers are using archives. >> I love that example because the prevailing wisdom is the older data is, the less valuable it is, but if you can pull a clip up of Babe Ruth at the right time, even though it's a little grainy, wow, that's huge value for the-- >> We're finding like lots of customers that they've retained this data, they haven't known why they're going to need it, they just intrinsically know this data is really valuable, we might need it. And then as they look for new opportunities and they're like, hey, we're going to remaster this. And they've gone through a lot of digital transformation. So we're seeing companies have decades of original material moving into the cloud. We're also seeing fairly nascent startups who are also just generating lots of archive data. So it's just one of the many use cases we see from our customers love Glacier. >> Data hoarders heaven. I love it. Okay, Joe. Let's wrap up. Give us your closing thoughts, how you see the future of this business, where you want to take your business for your customers. >> Mostly, we just really want to help customers optimize their storage and realize the potential of their data. So for a lot of customers, that really just comes down to knowing that S3 glacier is a great and trusted place for their data, and that they're able to meet their compliance and regulatory needs, but for a lot of other customers, they're looking to transform their business and reinvent themselves as they move to the cloud. And I think we're just excited by a lot of emerging use cases and being able to find that flexibility of having very low cost storage, as well as being able to get access to that data and hook it up into the other AWS services and really realize the potential of their data. >> 100%, we've seen it over the decades, cost drops and use cases explode. Thank you, Joe. Thanks so much for coming on theCUBE. >> Thanks a lot, Dave. It's been great being here. >> All right, keep it right there for more storage and data insights. You're watching AWS Storage Day on theCUBE. (tranquil music)

>> Introducer: From the CUBE studios in Palo Alto and in Boston connecting with thought leaders all around the world. This is a CUBE Conversation. >> Hi everybody this is Dave Volante. Welcome to the special CUBE Conversation. I'm really excited to invite in my mentor and friend. We go way back. Fred Moore is here. He's the president of Horizon Information Strategies. We going to talk about managing data in the zettabyte era. Fred, I think when we first met, we were talking about like the megabyte era. >> Right, exactly. I think back then we had, you know, maybe 10 bytes in our telephone and one on the wristwatch, you know, but now you can put a whole data center in a single cartridge of tape and take off. Things that really changed. >> It's pretty amazing. And of course, for those who don't know Fred, he was the first a systems engineer at Storage Tech. And as I said, somebody who taught me a lot in my early days, of course he's very famous for the term that everybody uses today. Backup is one thing, recovery is everything. And Fred just wrote, you know, this fantastic paper. He's done this year after year after year. He's just dug in, he's a clear thinker, strategic planner with a technical bent in a business bent. You're like one of those five tool baseball players, Fred. But tell me about this paper. Why, did you write it? >> Well, the reason I wrote that is there's been so much focus in the last year or so on the archive component of the storage hierarchy. And the thing that's happening, we're generating data lots faster than we're analyzing it. So it's piling up being unanalyzed and sitting basically untapped for years at a time. So that has posed a big challenge for people. The other thing that got me deeper into this last year was the Hyperscale market. They are, those people are so big in terms of footprint and infrastructure that they can no longer keep everything on disk. It's just economically not possible. The energy consumption per disk, the infrastructure costs, the frequency of, you know, taking a disc out every three, four or five years for just for replacement, has made it very difficult to do that. So Hyperscale has gone to tape in a big way, and it's kind of where most of the tape business in the future is going to wind up in these Hyperscale businesses. >> Right. >> We know tape doesn't exist in the home. It doesn't exist in a small data center. It's only a large scale data center technology, but that whole cosmos led me into the archive space and in a need for a new archive technology beyond tape. >> So, I want to set up the premise here. Just going to pull this out of your paper. It says a 60% of all data is archival, and could reach 80% or more by 2024, making archival data by far the largest storage class. And given this trajectory, the traditional storage hierarchy paradigm is going to to need to disrupt itself. And quickly we're going to talk about that. That really is the premise of your paper here, isn't it? >> It is, you know, to do all this with traditional technologies is going to get very painful for a variety of reasons. So the stage is set for a new tier and a new technology to appear in the next five years. Fortunately, I'm actually working with somebody who is after this in a big way, and in a different way than what you and I know. So I think there is some hope here that we can redefine and really add a new tier down at the bottom. You see it kind of emerging on that picture of the deep archive tier it's. Beginning to show up now and it's, you know, infinite storage. I mean, if you look at major league sports, the world series and Superbowl, you know, that data will never be deleted. It'll be here forever. It'll be used periodically based on circumstances. >> Yeah, well, we've got that pyramid chart up here. I mean, you invented this chart, essentially. At least you were the first person that ever showed it to me. I honestly think that you first created this concept where you had a high performance tier, and a high cost per bit, and then an archive tier. Maybe it wasn't this granular, you know, back in the '70s and '80s? But it's constantly been changing with different media types and different use cases. >> You know, you're right. I mean, and you all know this because you know, when storage deck introduced the nearline architecture, nearline set in between online and offline storage, we called it nearline, and trademarked that term. So that was the tape library concept to move data from offline status to online status, with a robotic library. So that brought up that third tier online, nearline, and offline, but you're right. This pyramid has evolved and morphed into several things. And, you know, I keep it alive. Somebody said, I'll have a pyramid on my tombstone instead of my name when I go down. (both chuckles) But it's really the heart and soul of the infrastructure for data. And then out of this comes all the management and security, the deletion, the immutable storage concepts, the whole thing starts here. So it's like your house, you got to have a foundation, then you can build everything on top of it. >> Well, and as you pointed out in your paper, a minute ago, it always comes down to economics. So I want to bring up the sort of 10 year expected cost of ownership the TCO for the three levels you got all disk, you got all cloud and you got LTO and you got the different aspects of the cost. The purple is always the biggest piece of cost. It's the labor costs. But of course, you know, in cloud, you've got the big media cost because they've done so much automation. I wonder if you could take us through this slide, what are the key takeaways there? >> Well, you know the thing that hurts here with all these technologies is, as you can see up on top up there, what the key issues are with this and the staff and personnel. So the less people you have to manage data, the better off you are. And then, you know, it's pretty high for disk compared to a lot of things to do on desk, but lack of manage a lot of, you know, sadly what you and I had to deal with years ago and provision kind of, I mean, a lot of this stuff is just labor intensive. The further you get, the further down the pyramid and you also get less labor intensive storage. And that helps then you get a lower cost for energy and cost of ownership. The TCO thing is kind of taking on a new meaning. I hate to put up a TCO chart in some regards, because it's all based on what your input variables are. So you can decide something different, but we've tried to normalize all kinds of pricing and come up with everything. And the cloud is a big question for most people as to how does it stack up. And if you don't ever touch the data in the cloud, you know, the price comes way down. If you want to start moving data in and out of the cloud, you're going to have to ante up in a big way like that. But, you know we're going to see dollar a terabyte storage prices down at the bottom of this pyramid here in the next five years. But hey, you can get down to four or five terabyte with drives media in libraries tape, just entire flash and certainly higher than that. But you know, we're going to have the race to a dollar a terabyte, total TCO cost here in 2025. >> So when Amazon announced, they just announced a glacier. Everybody said, okay, what is that? Is that tape is that, you know, this spun down disk, cause it took a while to get it back. But you're kind of seeing that tape technology as you said, really move into the Hyperscale space and that's going to accommodate this massive, you know, lower part of the pyramid, isn't it? >> Exactly. Yeah. And we don't have a spin down disk solution today. I was actually on the board of a company that started that called Copay and years ago, right up here near Boulder. >> You watch him (both chuckles) You absolutely right. And a few other people that, you know also, but the spin down disk never made it. And you know, you can spin up and down on a desk on your desktop computer, but doing that in a data center, then on a fiber channel drive never made it. So we don't have a spin down disk to do that. The archive space is kind of dominated by very high capacity disc and then tape. And most of the archive data in the world today, unfortunately sits on display. It's not used and spinning seven by 24, three 65 and not touch much. So that's a bad economic move, but customers just found that easier to handle by doing that then going back to tape. So we've got a lot of data stored in the wrong place from a total economics point of view. >> But the Hyperscalers are solving this problem, or they're not through automation. And, you know, you referenced storage, tiering, really trying to take the labor cost out. How are they doing? Are they doing a good job? >> They've done really well taking the labor costs down, I mean, they have optimized every screw, nut and bolt in the 42 chassis that you could imagine to make it as clean as possible to do that. So they've done a whole lot to bring that cost down, but still the magnitude of these data centers, we're going to finish the year 2020 with about 570 Hyperscale data centers. So it's going right now around the world. You know, each one of these things is 350 400,000 square feet, and up of race wars space. And the economics just don't allow you to keep putting inactive data on spinning disk. We don't have to spin down disk, tape You know, I feel like the only guy in the industry that says this sometimes, but, you know, tapes had a, you know, a renaissance. That people don't appreciate in terms of reliability, throughput, you know, tapes three orders of reliability higher than disc right now. And most people don't know this. So tape's viable, the Hyperscalers see that. And read one Hyperscalers or you know, by over a million pieces of LTO tape last year alone. Just to handle this, you know, be the pressure valve to take all of this inactive stuff off of the gigantic disc farms that they have. >> Well, so let's talk about that a little bit. So you just try to keep it simple. You've got, you know, flash disk and tape. It feels like disc is getting squeezed. We know what flash has done in terms of eating into disc. And you see in that, in the storage market generally, it's soft right now. And I've posited that a lot of that is the headroom that data centers have with flash, is they don't have to buy spindles anymore for performance reasons. And the market is soft. Only pure is showing consistent growth, and ends up a little bit, cause because of mainframe, you've got Dell popping back and forth, but generally speaking, the primary storage market is not a great place to be right now, all the actions and sort of secondary storage and data protection. And so just going to get squeezed, and you mentioned tape, you said that if your only person talking about it, but you said in your paper, you know, it's sequential. So time to first bite is, is sometimes problematic, but you can front end a tape with cash. You can use algorithms and, you know, smart scans and to really address that problem. And dramatically lower the cost. Plus you could do things like you tell me Fred, you're the technologists here, but you're going to have multiple heads things that you can't necessarily do in a hermetically sealed disc drive. >> (chuckles) You can. And what you just described is called the active archive layer in the pyramid. So when you front end a tape library with a disk array for a cash buffer, you create an active archive and that data will sit in there three or four or five days before it gets demoted based on inactivity. So, you know for repetitive use and you're going to get dislike performance for tape data, and that's the same cash in concept that deserve systems had 30 years ago. So that does work and the active archive has got a lot of momentum right now. There's right here near me, where I live in Boulder. We have the Active Archive Alliances headquarters, and I get to do their annual report every year. And this whole active archives thing is a big way to make and overcome that time, the first bike problem that we've had in tape. And we'll have for quite a while. >> In your paper, you've talked about some of the use cases and workloads and you laid out, you know basically taking the pyramid and saying, okay based on the workload, some certain percentage should be up at the top of the pyramid for the high performance stuff. And of course lower for the, you know, the less, you know, important traditional workloads, et cetera. And it was striking to see the Delta between annual, the highest performance we had 70% , I think was up in the top of the pyramid versus, you know the last use case. So in you're talking about what it costs to store a zettabyte in services is that if I talk about 108 million at the high end versus a about 11 or 12 million, so huge Delta 10 X Delta between the top and the bottom based on those, you know allocations based on the workload. >> Yeah, I tried to get at the value of tiered storage based on your individual workload in your business. So I looked at five different workloads, the top one that you referenced. That was in there at 108 million, you know, is the HPC market. I mean, when I visited a few of the HPC people, you know, their DOD agencies in many cases, you know that and I threw the pyramid up. The first thing they would say our permanents inverted. You know (chuckles), all of our archive data is about 10%. You know, we were all flash as much as we can. And we have a little bit archived, we're in constant. Simulation and compute mode and producing results like crazy from the data. So we do an IO, bring in maybe a whole file at a time and compute for minutes before we come up with an answer. So just the reverse. And then I got to look into all the different workloads talking to people, and that's how we develop these profiles. >> So let's pull up this future of the storage hierarchy, was again kind of of talks to the premise of your paper. Walk us through this like, what changes should we be expecting, and you got air gap in here. We're going to, I'm going to ask you about remastering and lifespan, but take us through this. >> Yeah, you know, the traditional chart that you had up on the first big year had four tiers, you know, two disturbs and solid state at the top. And then the big archive tier, which is kind of everything falling down into tape at this point. But you know again, tape has some challenges. You know time to first bite and sequential access on. And then when we couple using tape or disc as an archive, most of that data that's archival is captured as unstructured data. So we don't have, we don't have tags, we don't have metadata, we don't have indices, and that has led to the movement for object storage, to be a primary, maybe in the next five years, the primary format in store archived data, because it's got all that information inside of it. So now we have a way to search things and we can get to objects, but in the interim, you know, it's hard to find and search out things that are unstructured and, you know, most estimates would say 80% of the world's data is at least that much is unstructured. So archives are hard to find once you store it, there's one storing is one thing, retrieving it is another thing. And that's led to the formation of another layer in the story tier. It's going to be data that doesn't have to be remastered or converted to a new technology. in the case of the disc, every three, four or five years or tape drive every eight, maybe 10 years take large lost. Kate Media can go 30 years, but with all new modern tape media, but unfortunately, you know, the underlying drive doesn't go back that far, you can't support that many different versions. So the media life is actually longer than it needs to be. So the stage is set for a new technology to appear down here to deal with this archives. So it'll have faster access will not need to be remastered every five or 10 years, but you'll have, you know, a 50 year life in here. And I believe me, I've been looking for a long time to be able find something like this. And, you know we have a shot at this now, and I'm actually working with the technology that could pull this off. >> Well, it's interesting also as well, you calling out the air gap and the chart we go back to our mainframe guesses, is not a lot we haven't seen before, you know, maybe data D duplication, but you know, the adversary has become a lot more sophisticated. And so air gaps and, you know, ransomware on everybody's mind today, but you've sort of highlighted three layers of the pyramid that are actually candidates for that air gapping. >> Yeah. The active archive up there, of course, you know, with the disk and tape combined, then just pure tape. And then this new technology, which can be removable. You know, when you have removability you create an air gap. little did we know when you and I met that removability would be important to take. We thought we were trying to get rid of the Chevy truck access method, and now without electricity with a terrorist attack and pandemic or whatever. The fastest way to move data is put it on a truck and get it out of town. So that has got renewed life right now. Removability much to my shock from where we started. >> You talked about remastering and you said it's a costly labor intensive process that typically migrates previously archived data to new media every five to 10 years. First of all, explain why you have to do that and how a data center operators can solve that problem. >> Yeah. And let's start with data where most of it sits today on described, you know it describes useful life is four to five years before it either fails or is replaced. That's pretty much common now. So then they have to start replacing these things. And that means you have to copy, you know, read the data off the disk and write it somewhere else, big data move. And as the years go by that amount of data to revamp or gets bigger and bigger. So, I mean, you can do the math as you well know, you want to move, you know, 50 petabytes of data. It's going to take several weeks to do that electronically. So this gets to be a real time consuming effort. So most data centers that I've seen will keep about one fifth of their disposal every year migrating to a new technology, just kind of rolling forward as they go like that rather than do the whole thing every five years. So that's the new build in the disc world. And then for tape the drive stay in there longer, you know the LTO family drives a good read. You know two generations back from the current one that's been there. They cut that off a year ago. They'll go back to something like this soon. But you know, you can go into 10 years on a tape drive. The media life because of very unfair right media, which was already oxidized the last 30 years or more. The old media metal particle was not oxidized. So, you know, the oxidized flake, the particles would fall off people will say shit. I've had this in here eight years, you know, and it's kind flake it I put it back in. So that didn't work well. But now that we had various Verite Media, it was all oxidized, the media lives skyrocket. So that was the whole trick with tape to get into something that was preoxidized before time could cause it to decay. So the remastering is a lot, is less on tape by two to one to three to one, but still when you've got petabytes, maybe an exabyte sitting on tape in the future, that's going to take a long time to do that. >> Right. >> So remastering you'd love a way to scale capacity without having to continue to move the data to something new ever so often. >> So my last question is you've , you know, you went from a technical role into a strategic planning role, which of course the more technical you are in that role, the better off you're going to be. You don't understand that the guardrails, but you've always had a sort of telescope in the industry and you close the paper and it's kind of where I want to end here on, you know, what's ahead. And you talk about some of the technologies that obviously have legs, like three D NAND and obviously magnetic storage. You got optical in here, but then you've got all these other ones that you even mentioned, you know, don't hold your breath waiting for these multilayer photonics and dedic DNA. What class media, holographic storage, quantum storage we do a lot about quantum. What should we be thinking about and expecting as observers as to, you know, new technologies that might drive some innovation in the storage business? >> Well, I've listed the ones that are in the lab that have any life at all, right on this paper. So, you know can kind of take your pick at what goes on there. I mean, optical disk has not made it in the data center. We talked about it for 35 years. We invested in it in storage deck and never saw the light of day. You know, optical disk has remained an entertainment technology throughout the last 35 years. And the bigger rate is very low compared to data center technology. So, you know optical would have to take a huge step going forward. We got a lot of legs left in the solid state business. That's really active SSB, the whole nonvolatile memory spaces. Probably not 45% of the total disc shipments in terms of units, from what it was at it's high and in 2010. Unbelievable though. You know, in disc shipment 650 million drives a year announced just under 400, 35,400. So flashes has taken this stuff away, like crazy. Tape shouldn't be taking just away, but the tape industry doesn't do a very effective job of marketing itself. Most people still don't know what's going on with tape. They're still looking out of the roof, still looking out of the rear view mirror at a tape, as opposed to the front windshield. We see all the new things that have happened. So, you know they have bad memories of taping the past load stretch, edge damage tape, wouldn't work a tear or anything like that. It was a problem. Oh, that's pretty well gone away now. In a moderate tape is a whole different ball game, but most people don't know that. So, you know tapes going to have to struggle with access time and sequential reality. They've done a few things to come over excess time and the order request now to take the optimizer based on physical movement on the tape that can take out 50% of your access time for multiple requests on a cartridge. The one on here that's got the most promise right now would be a version of a multilayer photonic storage, which is. I would say sort like optical, but, you know, with data center, class characteristics, multi-layer recording capability on that random access, which tape doesn't have. And, you know, I would say that's probably the one that you would want to take some look at going forward like this. The others are highly specular. You know, we've been talking about DNA since we were kids. So we don't have a DNA product out here yet. You know, it's access times eight hours. It's probably not going to work for us. That's your, that's not your deep archive anymore. That's your time capsule storage. >> Yeah, right. >> Lock the earth. So, I mean, I think you kind of see what's here. I mean, the chances are it's still going to be the magnetic technologies tape disc, and then the solid state number and stuff. >> Right. >> But these are the ones that I'm tracking and looking at, trying to have worked with a few of the companies that are in this. Future list and I'd love to see something breakthrough out there, but it's like, we've always said about a holographic storage. For example, you know, there's been more written about it than there's ever been written on it. (both chuckles) >> Well, the paper's called Reinventing Archival Storage. You can get it on your website I presume Fredhorizon.com >> Yep, absolutely. >> Awesome. >> Fred Moore, great to see you again. Thanks so much for coming on the CUBE. >> My pleasure, Dave. Thanks a lot. Great job. >> All right. And thank you for watching everybody. This is Dave Volante for the CUBE. We'll see you next time. (upbeat music)

(upbeat music) >> From around the globe, it's theCUBE. With digital coverage of VeeamON 2020. Brought to you by Veeam. >> Hi everybody, we're back. This is Dave Vellante, and you're watching theCUBE's continuous coverage of VeeamON 2020. Veeam Online 2020. And Danny Allen is here, he's the CTO and Senior Vice President of Product Strategy and he's joined by Anton Gostev, who's the Senior Vice President of Product Management. Gentlemen, good to see you again. Wish we were face-to-face, but thanks for coming on, virtually. >> Thanks Dave for having us. >> Always love being on with you. Thank you. >> So Danny, I want to start with you. In your keynote, you talked to, about great quote by Satya Nadella. He said "We basically compress two years of digital transformation in two months." And so, I'm interested in what that meant for Veeam but also specifically, for your customers and how you help. >> Yeah, I think about that in two different ways. So digital transformation is obviously the word that he used. But I think of this a lot about being remote. So in two months, every organization that we're ourselves included, has gone from, in person operations going into the office doing things to enabling remote operations. And so, I'm working from home today, Anton's working from home today. We're all working from home today. And so remote operations is a big part of that. And it's not just working from home, it's how do I actually conduct my operations, my backup, my archiving, my hearing, all of those things remotely. It's actually changed the way organizations think about their data management. Not just operations from the sense of internal processes, but also external processes as well. But I think about this as remote offering. So organizations say, "How can I take where we are today "in the world and turn this into competitive advantage? "How can I take the services that I offered today, "and help my customers be more successful remotely?" And so, it has those two aspects to it remote operations, remote offerings. And of course, all driven by data which we backed. >> So Anton, you know there's a saying "It's better to be lucky than good." And I say, "It's best to be lucky and good." So Danny was talking about some of the external processes, a lot of those processes were unknown. And people kind of making them up as they went along, with things that we've never seen before. So, I wonder if we could talk about your product suite, and how well you were able to adapt to some of these unknown. >> Well it's more customers using our product in creative ways. But, one feedback we got most recently in our annual user survey is that like, one of the customers was using tape as the off-site backups. And they had a process where obviously someone had to physically come to the office, pick up the exporter tapes and put them on the truck and move them some off-site location. And so this basically, the process was completely broken with COVID because of lockdown. And in that particular country, it was a stricter on the ground than in most and they were physically unable to basically leave the home. So they basically looked at, Luckily they upgraded already to version 10. And they looked at what version 10 has to offer. And then we're able to switch from using tape to fully automating this off-site backup and going directly to the public cloud to object storage. So, they still have the same off-site backups that, effectively air-gapped because of the first house you provide in virtual time for mutable backups. As soon as they created that they automatically ship to object storage, completely replacing this manual off-site process. So I don't know how long it will take them, if not COVID, to move to this process. Now they love it because it's so much better than what they did before. That's amazing. >> Yeah I bet, there's no doubt. That's interesting, that's an interesting use case. Do you see, others use cases that popped up. Again, I was saying that these processes were new. I mean, and I'm interested in from a product standpoint, how you guys were able to adapt to that. >> Well, another use case that seems to be on the rise is that the ability for customers to deploy the new machines to procure new hardware is severely limited now. Not only their supply chain issues, but also again, bring something into your data center. You have to physically be there and collaborate with other workers and doing installing the, whatever new hardware you purchase. So, we see a significant pick up of the functionality where that, we had in the product for a while, which we called direct resorts to cloud. So we support taking any backup, physical virtual machine. And restoring directory into cloud machine. So we see really the big uptick of migration, maybe a lot of migrations, maybe, not necessarily permanent migrations, but when people want to basically this, some of the applications start to struggle on their sources and they're unable to update the underlying hardware. So what they do is that they schedule the downtime, and then migrate, restore that latest backup into the cloud and continue using the machine in the cloud on much more powerful hardware. That's a lifesaver for them obviously in this situation. >> Yeah so the cloud, Danny is becoming a linchpin of these new models. In your keynote you talked about your vision. And it's interesting to note, I mean, VeeamON, last year, you actually talked about, what I call getting back to the basic of, backup, you kind of embrace backup, where a lot of the new entrants are like, "No no backup's, just one small part, it's data management." And, so I'd love to get your thoughts on that. But the vision you laid out was, backup and cloud data management. Maybe you could, unpack that a little bit. >> Yeah, the way I think about this is step one, in every infrastructure, it doesn't matter whether you're talking about on-prem or in the cloud. Step one is, to protect your data. So this is ingesting the data, whether be backup, whether it be replication, whether it be, long term retention. We have to do that, not only do we have to do that, but as you go to new cycles of infrastructure, it happens all over again. So, we backed up physical first and then virtual, and then we did, cloud and in some ways, containers we're going towards, we're not going backwards but people who are running containers on-prem so we always go back to the starting point of protect the data. And then of course, after you protect it then you, want to effectively begin to manage it. And that's exactly what Anton said. How do you automate the operational procedures to be able to make this part of the DNA of the organization and so, it doesn't matter whether it's on-prem or whether it's in the cloud, that protection of data and then the effective management and integration with existing processes, is fundamental for every infrastructure and will continue to be so into the future, including the cloud. And it's only then when you have this effective protection and management of it, can you begin to unleash the power of data, as you look out into the future, because you can reuse the data for additional purposes, you can move it to the optimal location, but we always start with protection and management of the data. >> So Anton, I want to come back to you on this notion of cloud being a portion of that, when you talk about security people say you layer, how should we think about the cloud? Is it a another layer of protection? And then Danny just said, "It doesn't really matter whether it's on-prem "or in the cloud, it well, it doesn't matter "if you can ensure the same experience." If it's a totally different experience well then it's problematic though. I wonder if you could address, both the layers. Is cloud just another layer and is the management of that, actually, how do you make it, quote, unquote, "Seamless"? I know it's an overused word, but from a product name? >> Well, for larger customers, it's not necessarily a new challenge, because it's rare when the customer had a single data center. And they had this challenge for always. How do I manage my multiple data centers with a single pane of glass? And, I will say public cloud does not necessarily mean that some new perspective in that sense. Yeah, maybe it even makes it easier because you no longer have to manage the physical aspect, the most important aspect of security, which is physical security. So someone else manages it for you and probably much better than most companies could ever afford. In terms of security answer, so then data center. But as far as networking security and how those multiple data centers interact with each other, that's essentially not a new challenge. It is a new challenge for smaller customers for SMBs that are just starting. So they have their own small data center, small world and now they are starting to move some workloads into the cloud. And I would say the biggest problem there is networking and VeeamON, sure provides some free tools to call Veeam PN to make it easier for them to make this step of, securing the networking aspect of public cloud and the private property also that they are in now as workloads move to the cloud, but also keeping some workloads on-prem. >> The other piece of cloud Danny, is SaaS. You weren't the first you were one of the first to offer SaaS back up particularly for Office 365. And a lot of people just, I think, rely on the SaaS vendor, "Hey, they've got me covered. "They've got me backed up", and maybe they do have them backed up, but they might not have them recovered. How is that market shaping up? What are the trends that you're seeing there? >> Well, you're absolutely right Dave. That the, focus here is not just on back up, but on recovery, and it's one of the things that Veeam is known for we don't just do the backup, but we have an Explorer for Exchange , an Explorer for SharePoint, an Explorer for OneDrive. You saw on stage today we demoed the Explorer for Microsoft Teams. So, it's not just about protecting the data, but getting back the specific element of data that you need for operations. And that is critically important. And our customers expect to need that. If you're depending on the SaaS vendor themselves to do that, and I won't, be derogatory or specific about any SaaS vendor, but what they'll often do is, take the entire data set from seven days ago, we'll say, and merge it back into the current data set. And that just results in, a complete chaos of your inbox, if that's what they're merging together. So having specific granularity to pull back that data, exactly the data you need when you need it, is critical. And that's why we're adding it, and the focus on Microsoft Teams now obviously, is because, as we have more intellectual property, in collaboration tools for remote operations, exactly what we're doing now, that only becomes more critical for the business. So, when you think about SaaS for backup, but we also think about it for recovery. And one thing that I'll credit Anton and the product management team for, we build all of this in-house, We don't give this to a third party to build it on our behalf because you need it to work and not only need it to work, but need it to work well, that completely integrated with the underlying cloud data management platform. >> So Anton, I wonder if I could ask you about that. So, from a recovery standpoint, there's one thing, is Dan was saying, you've got to have the granularity, you've got to be able to have a really relatively simple way to recover. But because it's the cloud, there's, latency involved and how are you from a product standpoint, dealing with, making that recovery as consistent and predictable and reliable as you have for a decade on-prem. >> So you mean recovery in the cloud or back to on-prem? >> Yeah, so, recovery from data that lives in the cloud. >> Okay. So basically, the most important feature of any cloud is the price of whatever you do. So, whenever we design anything, we always look at the costs even more than anything else. But, it in turn always translates into better performance as well. To give you example, without functionality where we can take the on-prem backup and make a copy in the public object storage for disaster recovery purposes, so that for example, when a hacker or ransomware wipes out your, entire data center, you have those backups in the cloud, and you can restore from them. So when you perform the restore from cloud backups, we are actually smart enough to understand that, we need to pull that and this in that block from the cloud backup, but many of those blocks actually shared with backups in another machines that are in your own prem backup repository. So we do this on the fly analysis, and we say, instead of pulling the 10 terabyte of the entire backup from the cloud, we can actually pull only 100 gigabytes off unique blocks. And the rest of the blocks we can take from on-prem repositories that have still survived the disaster. So, not only reduces the cost 20 times or whatever. The performance, obviously, of restoring from on-prem data versus pulling everything from the cloud through the internet links is dramatic. So again, we started from the cost, how do we reduce the cost of restore, because, that's where cloud vendors quote, unquote, "Get you." But in the end, it resulted in much better performance as well. >> Excellent, Anton as well in your keynote, you talked about the Veeam availability suite, gave a little sneak preview. You talked about continuous data protection. Cloud Tier, NAS recovery, which is oftentimes very challenging. What should we take away from that sneak peek? >> Three main directions basically, The first is Veeam CGP is we keep investing a lot in on-prem, data Protection, disaster recovery. VMware is a clear leader of on-prem virtualization. So, we keep building these, new ways to protect your web VMware with lower RPOs and RTOs that were never possible before with the classic snapshotting technologies. So that's one thing we keep investing on-prem. Second thing, we do major investments in the cloud in object storage specifically, from that regards, again, put a couple keynote in Google Cloud support. And we're adding the ability to work with coldest tier of object storage, which is Amazon Glacier Deep Archive or Microsoft Azure Blob Storage, archive tier. So that's the second big area of investment. And third, instant recovery Veaam has always been extremely well known for its instant recovery capabilities. And this race is going to be the biggest in terms of new instant recovery capabilities, that were introduced as many as three new major companies with capabilities there. (mumbles) >> So, Danny, I wonder if I could ask you. I'm interested in how you go from product strategy to actual product management and bring things to market. I mean, in the early days, Veeam. Very, very specific to virtualization. That of course, with the Bare-metal, you got a number of permutations and product capabilities. How do you guys work together in terms of assessing the market potential, the degree of difficulty, prioritizing, how does that all come to your customer value? >> Well, first of all, Anton and I, spend a lot of time together on the phone and collaborating just on a weekly basis about where we're going, what we're going to do. I always say there's four directions that we look at for the product strategy and what we're building. You look behind you, you have a, we have 375,000 customers and so those are the tail winds that are pushing you forward. We talked to them on all segments. What is it that you want? I say we look left and right, the left who are alliances. We have a rich ecosystem of partners and channel that we look to collect feedback from. Look right, we look out at the competitors in this space, what are they doing to make sure that we're not missing anything that we should be including and then look forward. Big focus of Veeam has always been not just creating check boxes and making sure that we have the required features but innovation. And you saw that on stage today when Anton was showing the NAS Instant Recovery in the database instant recovery and the capabilities that we have, we have a big focus on, not just checking a box but actually doing things better and differently than everyone else in the industry and that serve to see incredibly well. >> So I love that framework. But so now when you think about this pandemic, you look behind your customers have obviously been affected, your partners have been affected. Let's put your competitors to the side for a minute, we'll see how they respond. But then looking forward, future, as I've said many times, we're not just going back to 2019. We're new decade and really digital transformation is becoming real, for real this time around. So as you think about the pandemic and looking at those four dimensions, what initial conclusions are you drawing? >> Well, the first one would be that that Veeam is well positioned to win, continue to win and to win into the future. And the reason for that I would argue, is that we're software defined. Our whole model is based on being simple to use obviously, but software defined and because of the pandemic, as Anton said, can't go into the office anymore to switch your tapes from one system to another. And so being software defined set this apart positions as well for the future. And so make it simple, make it flexible. And ultimately, what our customers care about is the reliability of this end to the credit of research and development and Anton theme is, "We have product that as everyone says, it just worked". >> So Anton I wonder if I could ask you kind of a similar question. How has the pandemic affected your thinking along those dimensions and maybe some of your initial thinking on changes that you'll implement? >> Yes, sorry I wanted to add exactly on that. I will say that pandemic accelerated our vision becoming the reality. Basically, the vision we had and, I said a few years ago, one day that Veeam will become the biggest storage vendor without selling a single storage box. And this is just becoming the reality. We support a number of object storage providers today. Only a few of them actually track the consumption that is generated by different vendors. And just for those few who do track that and report numbers to us. We are already managing over hundreds of petabytes of data in the cloud. And we only just started a couple of years ago with object storage support. So that's the power of software defined. we don't need to sell you any storage to be eventually the biggest storage player on the market. And pandemic is clear accelerated that in the last three months we see the adoption, it was already like a hockey stick, but it's accelerating further. Because of the issues customers are facing today. Unable to actually physically go back to the office, do this backup handling the way they normally do it. >> Well guys, it's been really fun the last decade watching the ascendancy of Veeam, we've boarded on it and talked about it a lot. And as you guys have both said things have been accelerated. It's actually very exciting to see a company with, rich legacy, but also, very competitive with some of the new products and new companies that are hitting the market. So, congratulations, I know you've got a lot more to do here. You guys have been, for a private company, pretty transparent, more transparent than most and I have to say as an analyst, we appreciate that and, appreciate the partnership with theCUBE. So thanks very much for coming on. >> Thank you, Dave. Always a pleasure. >> Thanks Dave. >> All right, and thank you for watching everybody. This is Dave Vellante for theCUBE in our coverage of VeeamON 2020. Veeam Online. Keep it right there, I'll be right back. (upbeat music)

(upbeat music) >> From around the globe, it's theCUBE. With digital coverage of VeeamON 2020. Brought to you by Veeam. Everybody, we're back. This is Dave Vellante, and you're watching theCUBE's continuous coverage of VeeamON 2020. Veeam Online 2020. And Danny Allen is here, he's the CTO and Senior Vice President of Product Strategy and he's joined by Anton Gostev, who's the Senior Vice President of Product Management. Gentlemen, good to see you again. Wish we were face-to-face, but thanks for coming on, virtually. >> Thanks Dave for having us. >> Always love being on with you. Thank you. >> So Danny, I want to start with you. In your keynote, you talked to, about great quote by Satya Nadella. He said "We basically compress two years of digital transformation in two months." And so, I'm interested in what that meant for Veeam but also specifically, for your customers and how you help. >> Yeah, I think about that in two different ways. So digital transformation is obviously the word that he used. But I think of this a lot about being remote. So in two months, every organization that we're ourselves included, has gone from, in person operations going into the office doing things to enabling remote operations. And so, I'm working from home today, Anton's working from home today. We're all working from home today. And so remote operations is a big part of that. And it's not just working from home, it's how do I actually conduct my operations, my backup, my archiving, my hearing, all of those things remotely. It's actually changed the way organizations think about their data management. Not just operations from the sense of internal processes, but also external processes as well. But I think about this as remote offering. So organizations say, "How can I take where we are today "in the world and turn this into competitive advantage? "How can I take the services that I offered today, "and help my customers be more successful remotely?" And so, it has those two aspects to it remote operations, remote offerings. And of course, all driven by data which we backed. >> So Anton, you know there's a saying "It's better to be lucky than good." And I say, "It's best to be lucky and good." So Danny was talking about some of the external processes, a lot of those processes were unknown. And people kind of making them up as they went along, with things that we've never seen before. So, I wonder if we could talk about your product suite, and how well you were able to adapt to some of these unknown. >> Well it's more customers using our product in creative ways. But, one feedback we got most recently in our annual user survey is that like, one of the customers was using tape as the off-site backups. And they had a process where obviously someone had to physically come to the office, pick up the exporter tapes and put them on the truck and move them some off-site location. And so this basically, the process was completely broken with COVID because of lockdown. And in that particular country, it was a stricter on the ground than in most and they were physically unable to basically leave the home. So they basically looked at, Luckily they upgraded already to version 10. And they looked at what version 10 has to offer. And then we're able to switch from using tape to fully automating this off-site backup and going directly to the public cloud to object storage. So, they still have the same off-site backups that, effectively air-gapped because of the first house you provide in virtual time for mutable backups. As soon as they created that they automatically ship to object storage, completely replacing this manual off-site process. So I don't know how long it will take them, if not COVID, to move to this process. Now they love it because it's so much better than what they did before. That's amazing. >> Yeah I bet, there's no doubt. That's interesting, that's an interesting use case. Do you see, others use cases that popped up. Again, I was saying that these processes were new. I mean, and I'm interested in from a product standpoint, how you guys were able to adapt to that. >> Well, another use case that seems to be on the rise is that the ability for customers to deploy the new machines to procure new hardware is severely limited now. Not only their supply chain issues, but also again, bring something into your data center. You have to physically be there and collaborate with other workers and doing installing the, whatever new hardware you purchase. So, we see a significant pick up of the functionality where that, we had in the product for a while, which we called direct resorts to cloud. So we support taking any backup, physical virtual machine. And restoring directory into cloud machine. So we see really the big uptick of migration, maybe a lot of migrations, maybe, not necessarily permanent migrations, but when people want to basically this, some of the applications start to struggle on their sources and they're unable to update the underlying hardware. So what they do is that they schedule the downtime, and then migrate, restore that latest backup into the cloud and continue using the machine in the cloud on much more powerful hardware. That's a lifesaver for them obviously in this situation. >> Yeah so the cloud, Danny is becoming a linchpin of these new models. In your keynote you talked about your vision. And it's interesting to note, I mean, VeeamON, last year, you actually talked about, what I call getting back to the basic of, backup, you kind of embrace backup, where a lot of the new entrants are like, "No no backup's, just one small part, it's data management." And, so I'd love to get your thoughts on that. But the vision you laid out was, backup and cloud data management. Maybe you could, unpack that a little bit. >> Yeah, the way I think about this is step one, in every infrastructure, it doesn't matter whether you're talking about on-prem or in the cloud. Step one is, to protect your data. So this is ingesting the data, whether be backup, whether it be replication, whether it be, long term retention. We have to do that, not only do we have to do that, but as you go to new cycles of infrastructure, it happens all over again. So, we backed up physical first and then virtual, and then we did, cloud and in some ways, containers we're going towards, we're not going backwards but people who are running containers on-prem so we always go back to the starting point of protect the data. And then of course, after you protect it then you, want to effectively begin to manage it. And that's exactly what Anton said. How do you automate the operational procedures to be able to make this part of the DNA of the organization and so, it doesn't matter whether it's on-prem or whether it's in the cloud, that protection of data and then the effective management and integration with existing processes, is fundamental for every infrastructure and will continue to be so into the future, including the cloud. And it's only then when you have this effective protection and management of it, can you begin to unleash the power of data, as you look out into the future, because you can reuse the data for additional purposes, you can move it to the optimal location, but we always start with protection and management of the data. >> So Anton, I want to come back to you on this notion of cloud being a portion of that, when you talk about security people say you layer, how should we think about the cloud? Is it a another layer of protection? And then Danny just said, "It doesn't really matter whether it's on-prem "or in the cloud, it well, it doesn't matter "if you can ensure the same experience." If it's a totally different experience well then it's problematic though. I wonder if you could address, both the layers. Is cloud just another layer and is the management of that, actually, how do you make it, quote, unquote, "Seamless"? I know it's an overused word, but from a product name? >> Well, for larger customers, it's not necessarily a new challenge, because it's rare when the customer had a single data center. And they had this challenge for always. How do I manage my multiple data centers with a single pane of glass? And, I will say public cloud does not necessarily mean that some new perspective in that sense. Yeah, maybe it even makes it easier because you no longer have to manage the physical aspect, the most important aspect of security, which is physical security. So someone else manages it for you and probably much better than most companies could ever afford. In terms of security answer, so then data center. But as far as networking security and how those multiple data centers interact with each other, that's essentially not a new challenge. It is a new challenge for smaller customers for SMBs that are just starting. So they have their own small data center, small world and now they are starting to move some workloads into the cloud. And I would say the biggest problem there is networking and VeeamON, sure provides some free tools to call Veeam PN to make it easier for them to make this step of, securing the networking aspect of public cloud and the private property also that they are in now as workloads move to the cloud, but also keeping some workloads on-prem. >> The other piece of cloud Danny, is SaaS. You weren't the first you were one of the first to offer SaaS back up particularly for Office 365. And a lot of people just, I think, rely on the SaaS vendor, "Hey, they've got me covered. "They've got me backed up", and maybe they do have them backed up, but they might not have them recovered. How is that market shaping up? What are the trends that you're seeing there? >> Well, you're absolutely right Dave. That the, focus here is not just on back up, but on recovery, and it's one of the things that Veeam is known for we don't just do the backup, but we have an Explorer for Exchange , an Explorer for SharePoint, an Explorer for OneDrive. You saw on stage today we demoed the Explorer for Microsoft Teams. So, it's not just about protecting the data, but getting back the specific element of data that you need for operations. And that is critically important. And our customers expect to need that. If you're depending on the SaaS vendor themselves to do that, and I won't, be derogatory or specific about any SaaS vendor, but what they'll often do is, take the entire data set from seven days ago, we'll say, and merge it back into the current data set. And that just results in, a complete chaos of your inbox, if that's what they're merging together. So having specific granularity to pull back that data, exactly the data you need when you need it, is critical. And that's why we're adding it, and the focus on Microsoft Teams now obviously, is because, as we have more intellectual property, in collaboration tools for remote operations, exactly what we're doing now, that only becomes more critical for the business. So, when you think about SaaS for backup, but we also think about it for recovery. And one thing that I'll credit Anton and the product management team for, we build all of this in-house, We don't give this to a third party to build it on our behalf because you need it to work and not only need it to work, but need it to work well, that completely integrated with the underlying cloud data management platform. >> So Anton, I wonder if I could ask you about that. So, from a recovery standpoint, there's one thing, is Dan was saying, you've got to have the granularity, you've got to be able to have a really relatively simple way to recover. But because it's the cloud, there's, latency involved and how are you from a product standpoint, dealing with, making that recovery as consistent and predictable and reliable as you have for a decade on-prem. >> So you mean recovery in the cloud or back to on-prem? >> Yeah, so, recovery from data that lives in the cloud. >> Okay. So basically, the most important feature of any cloud is the price of whatever you do. So, whenever we design anything, we always look at the costs even more than anything else. But, it in turn always translates into better performance as well. To give you example, without functionality where we can take the on-prem backup and make a copy in the public object storage for disaster recovery purposes, so that for example, when a hacker or ransomware wipes out your, entire data center, you have those backups in the cloud, and you can restore from them. So when you perform the restore from cloud backups, we are actually smart enough to understand that, we need to pull that and this in that block from the cloud backup, but many of those blocks actually shared with backups in another machines that are in your own prem backup repository. So we do this on the fly analysis, and we say, instead of pulling the 10 terabyte of the entire backup from the cloud, we can actually pull only 100 gigabytes off unique blocks. And the rest of the blocks we can take from on-prem repositories that have still survived the disaster. So, not only reduces the cost 20 times or whatever. The performance, obviously, of restoring from on-prem data versus pulling everything from the cloud through the internet links is dramatic. So again, we started from the cost, how do we reduce the cost of restore, because, that's where cloud vendors quote, unquote, "Get you." But in the end, it resulted in much better performance as well. >> Excellent, Anton as well in your keynote, you talked about the Veeam availability suite, gave a little sneak preview. You talked about continuous data protection. Cloud Tier, NAS recovery, which is oftentimes very challenging. What should we take away from that sneak peek? >> Three main directions basically, The first is Veeam CGP is we keep investing a lot in on-prem, data Protection, disaster recovery. VMware is a clear leader of on-prem virtualization. So, we keep building these, new ways to protect your web VMware with lower RPOs and RTOs that were never possible before with the classic snapshotting technologies. So that's one thing we keep investing on-prem. Second thing, we do major investments in the cloud in object storage specifically, from that regards, again, put a couple keynote in Google Cloud support. And we're adding the ability to work with coldest tier of object storage, which is Amazon Glacier Deep Archive or Microsoft Azure Blob Storage, archive tier. So that's the second big area of investment. And third, instant recovery Veaam has always been extremely well known for its instant recovery capabilities. And this race is going to be the biggest in terms of new instant recovery capabilities, that were introduced as many as three new major companies with capabilities there. (mumbles) >> So, Danny, I wonder if I could ask you. I'm interested in how you go from product strategy to actual product management and bring things to market. I mean, in the early days, Veeam. Very, very specific to virtualization. That of course, with the Bare-metal, you got a number of permutations and product capabilities. How do you guys work together in terms of assessing the market potential, the degree of difficulty, prioritizing, how does that all come to your customer value? >> Well, first of all, Anton and I, spend a lot of time together on the phone and collaborating just on a weekly basis about where we're going, what we're going to do. I always say there's four directions that we look at for the product strategy and what we're building. You look behind you, you have a, we have 375,000 customers and so those are the tail winds that are pushing you forward. We talked to them on all segments. What is it that you want? I say we look left and right, the left who are alliances. We have a rich ecosystem of partners and channel that we look to collect feedback from. Look right, we look out at the competitors in this space, what are they doing to make sure that we're not missing anything that we should be including and then look forward. Big focus of Veeam has always been not just creating check boxes and making sure that we have the required features but innovation. And you saw that on stage today when Anton was showing the NAS Instant Recovery in the database instant recovery and the capabilities that we have, we have a big focus on, not just checking a box but actually doing things better and differently than everyone else in the industry and that serve to see incredibly well. >> So I love that framework. But so now when you think about this pandemic, you look behind your customers have obviously been affected, your partners have been affected. Let's put your competitors to the side for a minute, we'll see how they respond. But then looking forward, future, as I've said many times, we're not just going back to 2019. We're new decade and really digital transformation is becoming real, for real this time around. So as you think about the pandemic and looking at those four dimensions, what initial conclusions are you drawing? >> Well, the first one would be that that Veeam is well positioned to win, continue to win and to win into the future. And the reason for that I would argue, is that we're software defined. Our whole model is based on being simple to use obviously, but software defined and because of the pandemic, as Anton said, can't go into the office anymore to switch your tapes from one system to another. And so being software defined set this apart positions as well for the future. And so make it simple, make it flexible. And ultimately, what our customers care about is the reliability of this end to the credit of research and development and Anton theme is, "We have product that as everyone says, it just worked". >> So Anton I wonder if I could ask you kind of a similar question. How has the pandemic affected your thinking along those dimensions and maybe some of your initial thinking on changes that you'll implement? >> Yes, sorry I wanted to add exactly on that. I will say that pandemic accelerated our vision becoming the reality. Basically, the vision we had and, I said a few years ago, one day that Veeam will become the biggest storage vendor without selling a single storage box. And this is just becoming the reality. We support a number of object storage providers today. Only a few of them actually track the consumption that is generated by different vendors. And just for those few who do track that and report numbers to us. We are already managing over hundreds of petabytes of data in the cloud. And we only just started a couple of years ago with object storage support. So that's the power of software defined. we don't need to sell you any storage to be eventually the biggest storage player on the market. And pandemic is clear accelerated that in the last three months we see the adoption, it was already like a hockey stick, but it's accelerating further. Because of the issues customers are facing today. Unable to actually physically go back to the office, do this backup handling the way they normally do it. >> Well guys, it's been really fun the last decade watching the ascendancy of Veeam, we've boarded on it and talked about it a lot. And as you guys have both said things have been accelerated. It's actually very exciting to see a company with, rich legacy, but also, very competitive with some of the new products and new companies that are hitting the market. So, congratulations, I know you've got a lot more to do here. You guys have been, for a private company, pretty transparent, more transparent than most and I have to say as an analyst, we appreciate that and, appreciate the partnership with theCUBE. So thanks very much for coming on. >> Thank you, Dave. Always a pleasure. >> Thanks Dave. >> All right, and thank you for watching everybody. This is Dave Vellante for theCUBE in our coverage of VeeamON 2020. Veeam Online. Keep it right there, I'll be right back. (upbeat music)

>> Announcer: Live from Las Vegas, it's theCUBE. Covering IBM Think 2018. Brought to you by IBM. >> Welcome back to IBM Think 2018. My name is Dave Vellante and you're watching theCUBE, the leader in live tech coverage. Day three of our wall-to-wall coverage of IBM Think. IBM took a number of conferences, Interconnect, World of Watson, Edge, which was the infrastructure conference, brought them together. We're here to talk to Calline Sanchez, who is the Vice President of IBM Enterprise System Storage. Edge was your show? >> Yes. >> Dave: Welcome to the new world. >> Great! No, it's been exciting to be a part of the Think conference. >> Yeah. >> And what I think is great about it is we're talking solutions and the full stack. The full stack based on hardware, MinuteWare applications, software, all of the feeders associated with delivering end users a solution. >> Well, I was talking to Ed Walsh earlier actually yesterday he came on, we weren't talking a lot of speeds and feeds, even though he's capable of it. But he's was talking more about the adjacencies in IBM's businesses and Cloud, and artificial intelligence that are helping, sort of, uplift the storage business. I have observed that having been an observer of the storage business for years I've been hearing from big systems companies for decades that they're going to do that. They've had trouble succeeding but it seems like it's finally taking hold. What's your perspective? >> I would agree. So the good comments associated with Ed is, he's built a great team, we enjoy working together, he is fair, pragmatic in general. So we work to build collaboration within the IBM company to deliver solid solutions to end users, so, he's done a great job. >> So, you guys have reported four straight quarters of growth, not just like, half a percent growth either, some high single digit growth in some cases. What are the factors that are driving that? You mentioned, sort of, teamwork, culture, leadership. I'm sure there's some product stuff too. From your perspective. >> Yes. >> What's driving that? >> So. I actually, within our, my portfolio I partner with Jeff Barber on is, like, DS8000 Enterprise storage and we see significant growth in that area based on our focus on flash and our investment with regards to flash optimization. The other aspect to really highlight is, what we're doing in tape, and I know we've talked about tape before. >> Tape? >> Yeah, I know. >> Come on. Alright let's talk about tape. >> Alright, well there's two components in that tactically we're about to deliver a drive that's about the size of my hand that is called the LTO8, it's part of the LTO line. 12 terabytes for rawest capacity. >> Yeah so tape is interesting. I mean the investment that used to be, you know back in the 80s, disc drive investments, all the VCs were pouring money into disc drives and heads and media and a lot of those investments have dried up. You're not seeing the same types of investments. Tape, it's easier to do sort of funky things. Multiple heads, drive super high bandwidths, you know do some sort of anticipatory indexing. >> Calline: Yeah. >> Where do you see the use cases for tape? It got blown out of backup. Where is it being used today? Is it archiving? Is it media? You know the NAB show's coming up. Probably see a lot of tape there, but where are you seeing momentum for tape? >> So you are correct from a media and entertainment perspective in A/V, that's a great industry we partner with. A few years back for LTFS, now Spectrum Archive rebranded as part of the Spectrum family, we won an Emmy. That's like... >> No kidding. I didn't know that. >> Yeah we won an Emmy so it's great in partnership with media and entertainment. We're relevant there and our technology was relevant there. Now the other area for significant growth, which helped feed those four quarters you referenced before is what we're doing with cloud service providers. We're relevant from a hardware infrastructure perspective based on tape. Tape is cool again and there's a lot of companies worldwide who really believe that because it's all about big data storage for the right economic price as well as energy efficiency. >> Well the gap between cost per bit for disc and tape is still enormous. >> Calline: It is. >> Tape is much, much, much cheaper and that's not going to change any time soon right? >> That is correct. It is much cheaper. So I'll give you an example. So basically less than a cent per gig per year. Now, I would actually even say it's less than a half cent. So it's just the economies of it. So a lot of what we do in talking about tape is the value from a cost perspective and the value you can provide a client where it's like hey they have big data, we can help serve it and we do that with tape. >> But is it, Calline, is it the sleep at night factor? Like okay, I'm going to put it in tape. Hopefully I never have to recover from it but it's my last, my media of last resort. I'm in compliance if I put it there. Is that right? Or are people actually recovering from tape? >> Yes, both. >> Yes, okay. >> So we're recovering from tape based on worth fundamental tertiary storage for some of these enterprise clients where I have to discuss like tier management across primary, secondary, and tertiary storage. So people think tape classically is an archive. Well actually there's use cases that are fed by tape that can attach all the components of tier management so I think it's more, it's more than just archive. It's big data. >> Now let's talk about cloud. I thought cloud was going to take the on prem business and wipe it out. What happened? >> Well it depends. That's what I like about IBM's perspective is hybrid. So we can serve both private as well as public clouds. And we also focus on optimizers. And what do I mean by an optimizer? For example, DS8000 in 2017, we delivered transparent cloud tiering which allows you to basically take a primary device and treat every other storage component as a target to like push data. Oh, by the way, you can push data to whatever cloud store in the sky that would be public or in some cases private. Based on security requirements associated with enterprise clients. >> So the criterion is largely security not performance is that right? Or both? >> Both, it's a combination. And it really depends on the use case that a client comes to bear or talks to us about. >> So I forget what you call it, but you guys had, early on, you had some automated capabilities and did some magic heuristics to match data and device characteristics to put the right data on the right device. And you've extended that to cloud is that right? So it's like policy based. >> Yeah. See, you are correct so what you were referring to is easy tier management. >> Easy tier, right. >> So easy tier allowed you to move data to like a hotspot. Think of it as like a temperature reading. If it's hot data, it stays on flash or media types like that. If it's cold data, it goes off to ship off to cheap disc or possibly tape. Now our extension to that is transparent cloud tiering. >> I remember when you guys first announced easy tier. I'm thinking about it now. I talked to some customers and they said eh, you know I want some knobs to be able to turn. I like to be able to manually move things around. And then this sort of machine intelligence wave comes through and people whose primary expertise was loan management realizing that that's probably not the best career path for them. So have you seen customers become much more comfortable with that automation? >> Yes. There is an autopilot mode with regards to data management. But for some enterprise clients, I'm going to steal your word. They have to feel comfortable. They have to see that the right data was moved to the next tier and it's being managed appropriately. So some people like to like for instance your temperature reading in your house. Some people like that your dial is like 72.3, right. And you just know that temperature, right. Which is mental, right. Though so clients were like that before, but with this idea of efficiency, and we talked about flash efficiency based on one of our last interviews is that it gives you more time. More time to think about other things. And so easy tier provided us the capability, especially if you go autopilot. Those end users can think about something different within their data centers to manage things differently, more efficiently. So it gives you time. And all I know is every Christmas, I pray to the lord that I want 25 hours in a day. >> Yeah. So hear hear. So the storage industry, for years, has been famous for doing more with less. You know constantly taking cost out. Guys are whipping boys of customers and just squeezing every dime out of you as possible. You made, IBM's made a lot of statements about Moore's Law, Moore's Law is you know waning, it can't be as aggressive anymore. Got to play different tricks. How has that applied to storage? How do you keep wringing costs out of storage? >> So I fundamentally believe everything old is new again. So we have to pay attention the history or the legacy to really determine what the future roadmap is. And so what's nice that we partner with Ed Walsh on is talking about our building materials across our entire solutions set. And insuring we provide for exceptional efficiency. We definitely want, within IBM, to be the Toyota production system for storage. >> So, reminds me you say everything old is new. Or new is old. I remember a head of IBM storage one time who didn't know anything about storage. He admitted I don't know anything about storage, but I know this. It needs to be lightning fast, rock solid, and dirt cheap. Has that changed? And what's new in storage? >> So no it has not changed, right. Though what we've been talking about is some really dirt cheap technology with regards to like tape, right? And last I checked, less than a cent per gig per year for storage management? That's huge right? So that helps the wallet. But at the same time, there's some new future items like we're wanting to play in the nanotechnology space. Specifically to partnering with Sony, Sony Media with regards to sputter media. So what people can go out and see when they have time is watch YouTube videos about what sputter media is about. Now, some of the deployment associated with sputter media was 220 terrabytes for a single drive. That's our goal. So when clients come to us and say hey we want to serve or be served with data capabilities of like two x per year, we're at a point where we're going to blow their socks off because we're going to have an offering on the table tactically to be north of 220 terrabytes per drive? Pretty exceptional. >> What are some of the other kind of cool techs that we should be watching? I mean we've seen advancements in file systems, obviously saw the Hadoop and big data craze. Flash has completely changed not only storage, but application development. You really couldn't be doing all this AI stuff without flash storage. NVME, NVME over fabric is coming in hot. You guys have done things like cappy to get sort of atomic rights. >> Yes. >> And capabilities like that. Again, game changing geeky things that have business outcomes that completely change the application development paradigm. What should we be watching for from IBM, some of the cool tech? >> So the other aspect that you've asked me in a prior conversation is about quantum computing. So we just need enough bits so they store those bits on us. So those are some of the early discussions about how IBM storage is going to play in quantum. >> Yeah, you've got some cool demos here on quantum. It's kind of blow your mind demos so check those out. Calline I'll give you last word. IBM Think, put a bumper sticker on it. >> So, tape is not dead, it's sexy. And then also this other aspect of, I don't know, we can grow and so IBM storage is where it's at. And that's the reason why I remain here. >> Tape is sexy. Tape is big and sexy. >> I know, big and sexy. >> Calline thanks very much for coming back on theCUBE. >> Thank you. >> It's great to see you again. >> It's great to see you. >> Alright keep it right there everybody. We'll be back after this short break. (upbeat music)

>> Announcer: Live from Las Vegas, it's theCUBE covering NetApp Insight 2017. Brought to you by NetApps. >> Welcome back everyone, we are live in Las Vegas this is theCUBE, SiliconANGLE's flagship program where we go out to events and extract the signal from the noise. I'm John Furrier, my co-host Keith Townsend. We're here at NetApp Insight 2017 here at the Mandalay Bay with two great guests, a senior executive, senior NetApp folks, are going to share some insight on what's going on. We have Mark Bregman is the Senior Vice President and CTO thanks for coming on. John Woodall VP of Engineering at Integrated Archive Systems. The first partner of NetApp going back in the day. Welcome to theCUBE thanks for coming on. >> Thank you. >> Thank you. >> So we've seen that movie before, you know every cycle of innovation there's always opportunities. Interesting now we're in a cycle where you can see some new waves out there coming in. And we think we're surfing on some waves now, but the tsunami's coming. Everything from blockchain down to just cloud growth like crazy. You guys have done extremely well. You've seen them before, these transitions. People are busy right now, your customers are super busy. They've got app development going on, DevOps, they've got security unbuckling from IT becoming critical, data governance. What should they know about in this transition that they may miss or they should pay attention to. >> Well, I would say that the thing that is probably the most profound is we've gone through a couple of big transitions, as you mentioned, in the industry as a whole. 20, 30 years ago we would talk to customers and they'd start with infrastructure and they'd talk about servers and storage. 10, 15 years ago they start with applications and they'd talk about their ERP or whatever software. That would decide then the infrastructure. Today they're starting with data and companies are realizing that data is the thing that's going to transform their business. And then based on that data, what software am I going to use and then talk about infrastructure. So the conversation's kind of turned around completely from where it was 20 years ago. >> John, you've been a partner, I see the partner landscape certainly changing. You seeing resellers and VAR's and I think, does the word VAB even exist, value added business? They're actually building their own tech because there's opportunities to be a service provider. Almost like a telco, who would have thought? >> It's crazy, it's crazy. I think I think from our perspective as a longtime partner, we've been successful with NetApp through transitions. We were talking before about the resiliency of NetApp in going through transitions. They've done it again, the keynote today filled with a lot of, what I call, mic-drop moments of yet another level of innovation. But you're right things have flipped almost 180 degrees in the discussion that starting with data, starting with a business outcome, as part of the discussion. It's not about what can I sell, it's about in solving the problem, do I accelerate the pace of my business. Do I open up new ways to monetize in my business. Do I drive efficiencies in my business that translate to the bottom line. As a reseller and as a partner, we have to transition with that because the discussion changes, the skill sets change and it becomes much more of a services play on the front-end and to help through and then becomes managed services, as you know, and that. >> Mark I want to ask your a question. We were joking with the product marketing team on the cloud earlier that you know the slogan should be, I don't know NetApp could do that. It just keeps happening, oh, I didn't know they did that. While that's kind of a history NetApp, but I want to ask something specific. We see it's a success out there in the cloud, you look no further than Amazon Web Services. Now Microsoft's kind of catching up to the rear, Google's there's some other people are trying to kind of get in there. But Amazon's the winner when it comes to the number of announcements you see an event and I'm sure at Reinvent coming up is going to be a tsunami of their bigger announcements, more services so it's a plethora. And so that's an indicator of success. And also the new differentiator, at scale, as you got to keep iterating, you guys have a slew of announcements, so running engineering and being the CEO. What's going on at NetApp? What's the conversation like, you have all these roadmaps, is it just all this innovation, is it part of the plan and just give us some insight into how this all works. >> Well, I think for a long time, maybe for the first 20 years of the company, we were almost like a one product company. The innovations were all in that lane. They were all, you know, make this a better product, make ONTAP better and customers love that because they were growing with us. What's happened is it's kind of exploded in multiple dimensions. So we continue to innovate in our core. But at same time we're having to say, how can we use this capability in a completely different way, in the cloud? How can we help customers manage their data, no matter where it is, not just on our ONTAP systems. We made the acquisition of a little over a year ago, a year and a half ago, of SolidFire, to get into an area of a different approach to managing storage. And it's not sometimes people get it confused and they go that's how you got into flash. Frankly, we're already doing flash units and have flash in all of our product lines. The real reason we did that was to get into this more programmatic, scale out, API driven model of administration of storage. And we're having to do that in so many dimensions. so as we expand those dimensions, Of course we have to expand our innovation. We have to innovate at the given rate in each of threads. >> The old joke in Silicon Valley is you know get lucky once and you get rich. And it's hard, you know, the sophomore jinx whatever you want to call it, repeated successes is a sign of success and certainly as a partner you want to, you don't want to one trick pony at all. Now, I got to ask you, given the NetApp history of those successes, the data fabric is very good positioning I like that position because it's got a lot around it's super important, you think data is the new wave it's going to come bigger than cloud in terms of its impact. What from NetApp, for the customers that are watching and especially new customers, as you take new territory down with data, what is it about the NetApp portfolio, or the architecture the DNA that makes you guys relevant in this data fabric equation? Because you can't just get there overnight because of diseconomies of scale. What is it about NetApp that makes them super relevant? Couple things, one thing, what's the one thing? >> Well, I think I think it becomes back to I think you even said the term, DNA. It's what is it about NetApp, why are we one that's been around for 25 years and continue to make it through these transitions. And I think it's because, first of all, we don't rest on our laurels, we're not caught up in the innovator's dilemma of continuing to just refine what we already have. We'll do that, but we also recognize that there are emerging new customer needs. And our basic intellectual capital can be applied in different ways. So when I talk to our engineers, they don't talk about I build controllers that go into arrays that manage data. They realize that deeper down there's a kind of intellectual capital could go into a piece of software in the cloud. And there's a customer problem that we can go solve. So I think it's about being motivated by solving those customer data problems. >> So culture, some culture. >> It's culture. >> What are the products now, so you have a data, storage, storage stores data. So you don't need rocket science to figure out that you're storing data. >> I'll give you an example, there a lot of competitors in the flash storage business that have come into the market and basically gave up on us because we were late coming to that market. But we came in the market, we accelerated, we passed them, why is that? Partly, we built a good product at the flash storage layer. But more importantly we leveraged all of the storage management which we'd already built over 20 years. And so now we're suddenly out there with a very rock solid flash engine but it's supported by all the other capabilities which make it valuable to our customers. So it's not just, hey, here's a new tool, it's here's a new solution to your problem. And I think that's a big part of our DNA. And our technology side is we've been in data management for 20 years, we just never talked about it that way. >> So John, we had Dave Hitz on earlier, and he said that one of the keys to keeping away from the innovators dilemma has been that NetApp has leaned into the thing that will kill us. I tweeted that out, that's an awesome pull, that they've leaned into the things. As a partner though, that can be a bit scary. Technology is especially enterprise tech is a very stable thing. NetApp has been with ONTAP a very traditional partner even with fads and bringing those innovations to flash. How's that ride been for you guys over the past 25 years. >> It has been consistent, it has been a great partnership, and it continues to be a great partnership because as I look out and hone my portfolio of offerings and partnerships, NetApp stays very high in, that not just because we have a great run rate business, but because NetApp, in their innovation allows me to continue to solve problems with an existing partner, which makes us more efficient. Now, having said that we talked about you mentioned data fabric. That's a completely different discussion from a storage company. At first you think okay, I'm replicating data, I have a transport layer, that's fine. But what are you doing beyond that? I think you begin to see a new NetApp emerging as software defined. An organizing principle in my mind of the data fabric is it gives the customer freedom and flexibility that just buying storage doesn't give you. It gives them the flexibility to deploy in the cloud, next to the cloud, on-prem, as a virtual instance, as an AMI in the cloud, et cetera. So it allows the customer to place data and workloads where and when and how they want that makes sense for their business, not NetApp's business, or my business and so in that we're starting to see now with Anthony Lye's demo today of Cloud Orchestrator. >> Which, by the way, isn't shipping yet, but it's multi-cloud. >> Multi-cloud? >> It's multi-cloud instance. >> Yeah, that right there, and its applications, it's provisioning VM's, it's provisioning. >> If you guys get that to the market fast, it will be the first multi, True multi, orbiting call it real multi-cloud There's a lot of fake multi-cloud out there but that would be a real use case. >> And that's a completely different discussion so you know to kind of plagiarize, you can teach an old storage dog a new trick. So they transformed to meet the emerging needs of a new market, we are have to transform with them. So there's a bit of bumpiness that we're all going to experience as we learn that and do that. >> John, I just want to drill-down on that, I want to get also your both perspectives. What you're really teasing out with the Cloud Orchestrator demo in my mind, the impact of that demo significance is you guys as a storage company, now a data company, are enabling opportunities with the data. That's clearly what's happening, obviously, no debate there. But the impact is to developers. Now the developer dynamic is as these devops guys come in, there's new, there's re-skilling going on. So the biggest challenge of multi-cloud is each cloud has its own way to pipeline data or do things with data. So making that easy, I don't want to have to hire guys to program for each cloud. >> Mark: And they're hard to find. >> It's incredible, it's too hard. Abstracting that away is going to be a boon for the developer market. That's a new market, that's a different thing than NetApp. >> It's a very different market than we've been in before. >> So what are you doing? What's the plan, just continue to enable developers? >> Well, the comment you made earlier, about lean in to the thing that's going to kill you is exactly right, I wouldn't have said it quite like that but I'm not Dave Hitz. So we definitely, when we see a challenge we lean into it. And and that does two things, it's a little bit like, I don't know was it TaeKwonDo where you use the other competitors energy? >> I think it's judo. >> Think it's judo, use the other energy, the power the other opponent to win. And that's kind of what we're doing. I think when you do that it means we have to transform and our partners do, and you're a partner that's been with us long time, you've been through a lot of transitions. >> Yes we have. >> Well judo move is about leverage, and that's about having installed, you guys have that leverage with your customers. >> And the customers are moving as well, so we could try to keep them, hold them back. Or we can move with them and actually accelerate them to where they're going to our benefit, and to our partners benefit and I think that's what Dave was referring to. Well, Mark and John love to have you guys on, love to do a follow-up segment in Palo Alto, our offices are really across the yard from each other, certainly if you guys are in Sunnyvale This is a super important conversation. I'll give you guys the last word, impact to customers for NetApp with the new capabilities with data center innovation modernization, next gen data center, on-premise, true private cloud and power a horse in the cloud with data. All that working together in some cases end to end or in pieces whatever the customers is. What does it mean to the customer this new. >> I'll steal a line from our marketing teams and what it really means is it's going to enable customers to change the world with data. Transform their business, create new opportunities. >> It's a new wave in the economy. It's going to be disruptive and tumultuous for some. We have an opportunity to go into a customer and to help them find new ways, with their data, because the two key assets of company now is people and then data. So the people are there taking their data, allowing them to find new opportunities to go to market faster. NetApp's in a unique position. >> It reminds me of value creation, I mean a lot of stuff with blockchain you see the indicators, almost the Web1.0 again. You see in the new shift in architecture happening upside down it's almost reverse. >> The developer model's right. I mean you talk about Amazon, I think from 2008 until 2014 or 15 they introduced about three thousand new services on their platform. I don't see an average IT organization doing that. >> I think that rates gone up now. >> It's on an exponential growth there. >> I think we're starting to see the swim lanes, if you will, I'm calling them native clouds because they're so native. But they're also powering a new ecosystem and part of it, I wish we had more time to talk about the partner equation. There a lot of musical chairs going on in the partner ecosystem. You've been with NetApp from the beginning, congratulations. Congratulations on all the success on the platform and the product innovation. It's theCUBE bringing you the innovation and the data through our data fabric called theCUBE. We'll be back with more live coverage after this short break. >> Announcer: Coming off barrier breakers, status quo smashers, world.