>>Welcome to the cubes coverage of HP discover 2021. I'm your host lisa martin. I've got a couple of guests with me here from emphasis. Alumni Yuma lacks empathy. Is back. Senior vice president and regional head of EMEA emphasis Yuma. It's great to see you welcome back to the program. >>Yeah. Hi Liza. It's great to be back for discover 2021. It's been a great opportunity to meet with a lot of our stakeholders and hp. >>Excellent. We're gonna dig into that. And so do Cutie is here as well. The CTO Cloud Advisory, VP hybrid cloud engineering platforms and automation at emphasis Sergey Welcome to the program. >>Thank you lisa. It's a pleasure to be in the program is my first time but I really enjoy it. Well >>Welcome. Welcome. So the next 15 minutes or so we're gonna unpack a survey that was just done as we know cloud has catalyzed a lot in the last year. One of those being cloud adoption. Talk to us about some of the things that you've seen as more and more enterprises are moving workloads to cloud. How is a hybrid cloud enabling businesses to grow, enabling them to actually have a competitive edge? >>Uh lisa if you uh if you look at the pre covid scenario and what there are many, many clients which actually made a significant move into cloud, but there were many few, a few of the companies who didn't really take a mature uh cloud adoption. But those companies which actually did the adoption, we see that have taken a big step with the help of the when the covid hit them because they were able to be very resilient, but at the same time they were able to the cloud adoption really help them to improve their business profits. Uh When we did this cloud reader survey across all the geography is we didn't get across the U. S. The latin, the issue pacific the email markets. And when we looked at uh what our clients and enterprises were able to recover and get all of this whole cloud adoption. We've got a number of 414 billions of profits that the enterprises can make by using this cloud adoption. And that's what we saw in this survey that we did with our clients. >>Yeah, that's huge. Enterprises the survey found can add up to you said 414 billion and that new profits annually through effective cloud adoption and sticking with you for a second. What does emphasis described as effective cloud adoption? >>When we look at cloud adoption, we have enterprises who started shifting workloads which are very comfortable for them. And then uh then they started to take the more mature understanding of moving workloads which were very critical to the business. So when we look at effective, it is a combination of both the ones that were very easy to go to the cloud, the ones that made business is able to bring in new applications and new, go to markets uh, to their segments to their clients. But then it is also about taking some of those legacy world clothes and making a choice the right choice to take it by transforming those applications and environments uh, into the cloud direction. And that's what we call as effective. It's just not the easy ones, but also those complex and legacy rebuild ones that that effectively goes on to transform itself into a new way for the for their clients and for the experience of the users. >>It's a big changes coming, big opportunities. We see, we've talked about this for many times more and more companies moving to multi cloud arrangements for a variety of reasons. What have been some of the things that emphasis has experienced and what are some of your viewpoints on a multi cloud? >>Thank you, lisa. So, um, if you look around right, you know, hybrid cloud has been the new normal. Right? And um and if you look at it, private cloud is becoming an essential component for hosting applications. You know, uh you know, when you look at it, it's more about applications which have low latency requirements, you know, it has regulatory requirements or it has a static demand of infrastructure. Now, what emphasis has done in this space is is that, you know, we have um we have developed a framework which we call it as a right loud solution framework and this is focused on implementing a hybrid multi cloud leveraging an in house developed tools and frameworks as well as platforms along with our strategic Puerto rico system, that is our biggest contribution onto the hybrid multi cloud world. Now, the foundation of our framework is emphasis Polly cloud platform. It's a unified multi cloud management platform. It can provision, it can orchestrate, it can also manage the cloud deployment across multiple of the environment. It can be a private, it can be public or it can be on the edge. Now, apart from all of these things, it also offers features and functionality is very similar to the hyper scholars and either it can be in terms of the user experience or it can be in a commercial model or a technology stack or it can be reports or it can be persona based user experience and integration with multiple systems. It brings all of these functionalities seamlessly across the multiple hybrid ecosystem. That's the biggest contribution from emphasis in this space. >>Got it. Okay. As we see the just clear growth of multi cloud in every industry. Talk to us about what the cloud radar survey uncovered with respective you mentioned that big number, the correlation between cloud transformation and profitable growth for enterprises across any industry. >>So I did mention about it uh lisa in in the previous question as well. When we looked at when we look at enterprises trying to take the cloud adoption, the big benefits for the enterprises do happen when they crossed that uh layer of moving a significant part of their existing legacy in a very transformed new world. And that brings in the new way of working for their customers for their end users and internally as well for their various stakeholders. And that I think is creating a cost structure for them, which is very, very optimal from where they were. But at the same time, it is enabling their ecosystem of of users and customers to come and operate in a very seamless fashion. And that is the biggest advantage of uh boosting profits for them at the same time, cutting costs within the, within the internal stakeholders. So at one stage you're optimizing your cost at another stage, you're bringing in the easiness for your clients to operate on, which is actually creating that enlarged profit boost. >>I'm sticking with you for a second. If we unpack that growth, that business profit growth opportunity that you the survey uncovered, Are we talking about things like faster time to market, increasing scale? What are some of the things underneath that hood? >>So, if you if you look at uh traditionally cloud was considered uh the enabler for quick, faster time to market. But now cloud has become the central theme for resilience. If you look at the covid pandemic, uh, those, those enterprises which were already cloud enabled, we're able to resiliently and sustain their business and grow their businesses. So as economy started opening up, if I can talk about an automotive client who is today enriching businesses out of china because they have the first economy that has opened up after the pandemic. So you see a lot of enablement for those enterprises which have already taken the cloud journey. And if you look at Today, enterprises are in somewhere around 17-18% of of cloud adopt mint and if they can take that to the 40%, that's when they will see that kind of boosted profits. And we can clearly see about $400 plus billion dollars of profits that enterprises can make. >>All right, so let's talk to you for a second. If we look at some of the survey results, the acceleration that is expected to be seen by in the next year of enterprises moving so many more workloads to cloud. You talked about hybrid cloud. Talk to me about how the experience of working with HP in creating joint solution suites is going to help the customers facilitate and drive that transformation. >>Thank you lisa. So if you look at H P E, H P E comes with a fine set of technology and commercial constructs, you know, that complements our right cloud framework and they offer the solutions. The whole sort of a lot of solutions offer private cloud as a service which is a major component of our right club framework. Either it is a continuous service with HP is is immoral data platform on HP hardware or video as a service based on a compose Herbal and Converse infrastructure or H. P. S cloud built on HPC cloud, build on Cray systems and all of them commercially supported with an H. P. S. Green leg offering makes it very attractive for our customers. Now, these integrations have helped us in providing a very similar metering and billing along with the chargeback solutions, very much in line with what is being provided by Hyper scholars. Apart from this, we also work very closely with H. P. E to create a very compelling sourcing strategy for driving hybrid cloud driven digital transformation while taking cost out and protecting the existing investments through various financial models for our customers, helping them in terms of transforming their digital estate in the, in the new cloud world. >>And um, I want to get your perspective as well. The HP emphasis partnership talk to me about that being a win win for your clients in every industry. >>So actually uh Visa is a great question and this probably is my third uh cube interview and I've told this previously as well in my previous interviews as well, the relationship between emphasis and hedge P is very very strategy and it's it's very very top down driven. And today we've seen very high transformative opportunities that two organizations have come together and we won't call it win win, but we call it a win win win, which is essentially win for HPV win for emphasis, but even for the clients as well. So if you look at some of the engagements that we have jointly done, everything has been transformative. I can talk about uh energy client where we've done a huge which will be D I uh engagement with them, where we have been able to take them very uh seamlessly when the covid pandemic hit them so that there are significant part of their right to users but be able to operate from their residences. I can talk about a great story about how we had enabled Green Lake for a wind energy company. Uh and how that Green Lake capability help the customer to migrate the application seamlessly uh to a hybrid cloud. And there are so many examples of similar scale and size when we look at clients in the manufacturing space and the automobile sector, where we've really done work very closely with HP across all regions and all geography is uh to make this what I would call a win win win partnership. >>I like that when when when who wouldn't want that. One more question for you talk to me about the next, as we talked about some of those survey results and I think folks can find that survey the cloud radar survey on the emphasis dot com website. I found it on the homepage there. But looking at how much Transformation is expected in the next 12 months or so, what are some of the things that we can expect from emphasis on H. P. E. to help drive and catalyze that growth that you expect to see in the next 12 months? >>Yeah. And I was talking to you before this interview and you said that yes, we gotta look at this. And I was feeling very happy that you have the opportunity to look at the side. And you said that look there's an opportunity to also make to continuously provide feedback. And we're very happy for clients to come in and look at it and do provide us the feedback. This is a constant learning for us. We have a big learning company Uh and when it comes to uh the next 12 months of agenda, I think the pipeline is very robust for both us and the hp. In terms of the way we want to take proactive transformational opportunities to the to our clients create a value differentiation on the hybrid cloud for them. And uh clearly uh this this survey clearly came back to reflect back to us that our strategy that we've done together as partners is the right strategy because there is a significant headroom for growth uh in the cloud space uh for both emphasis and H. B. >>Excellent. Well gentlemen, thank you for joining me today, talking to me about what emphasis and HP are doing together, unpacking some of the significant insights that the cloud radar survey has uncovered. We appreciate your time. >>Thank you lisa. Thank you. Thank you for giving us this opportunity. >>Absolutely. For election Soju. I'm lisa martin. You're watching the cubes coverage of HP discover 2021. Yeah, yeah.

>>Yeah. >>All right. Welcome back to our third session, which is all about administering analytics at Global Scale. We're gonna be discussing how you can implement security data compliance and governance across the globe at for large numbers of users to ensure thoughts. What is open for everyone across your organization? So coming right up is Cheryl Zang, who is a senior director of product management of Thought spot, and Kendrick. He threw the sports sports director of Systems Engineering. So, Cheryl and Kendrick, the floor is yours. >>Thank you, Tina, for the introduction. So let's talk about analytics scale on. Let's understand what that is. It's really three components. It's the access to not only data but its technology, and we start looking at the intersection of that is the value that you get as an organization. When you start thinking about analytics scale, a lot of times we think of analysts at scale and we look at the cloud as the A seven m for it, and that's a That's an accurate statement because people are moving towards the cloud for a variety of reasons. And if you think about what's been driving, it has been the applications like Salesforce, Forcados, Mongo, DB, among others. And it's actually part of where we're seeing our market go where 64% of the company's air planning to move their analytics to the cloud. And if you think of stock spotted specifically, we see that vast majority of our customers are already in the cloud with one of the Big Four Cloud Data warehouses, or they're evaluated. And what we found, though, is that even though companies are moving their analytics to the cloud, we have not solved. The problem of accessing the data is a matter of fact. Our customers. They're telling us that 10 to 25% of that data warehouse that they're leveraging, they've moved and I'm utilizing. And if you look at in General, Forrester says that 60 to 73% of data that you have is not being leveraged, and if we think about why you go through, you have this process of taking enterprise data, moving it into these cubes and aggregates and building these reports dashboards. And there's this bottleneck typically of that be I to and at the end of the day, the people that are getting that data on the right hand side or on Lee. Anywhere from 20 to 30% of the population when companies want to be data driven is 20 to 30% of the population. Really what you're looking for now it's something north of that. And if you think of Cloud data, warehouse is being the the process and you bring Cloud Data Warehouse and it's still within the same framework. You know? Why invest? Why invest and truly not fix the problem? And if you take that out and your leverage okay, you don't necessarily have the You could go directly against the warehouse, but you're still not solving the reports and dashboards. Why investing truly not scale? It's the three pillars. It's technology, it's data, and it's a accessibility. So if we look at analytics at scale, it truly is being able to get to that north of the 20 to 30% have that be I team become enablers, often organization. Have them be ableto work with the data in the Cloud Data warehouse and allow the cells marking finding supplies and then hr get direct access to that. Ask their own questions to be able to leverage that to be able to do that. You really have to look at your modern data architecture and figure out where you are in this maturity, and then they'll be able to build that out. So you look at this from the left to right and sources. It's ingestion transformation. It's the storage that the technology brains e. It's the data from a historical predictive perspective. And then it's the accessibility. So it's technology. It's data accessibility. And how do you build that? Well, if you look at for a thought to spot perspective, it truly is taking and driving and leveraging the cloud data warehouse architectures, interrogated, essay behind it. And then the accessibility is the search answers pen boards and embedded analytics. If you take that and extend it where you want to augment it, it's adding our partners from E T L R E L t. Perspective like al tricks talent Matile Ian Streaming data from data brings or if you wanna leverage your cloud, data warehouses of Data Lake and then leverage the Martin capability of your child data warehouse. The augmentation leveraging out through its data bricks and data robot. And that's where your data side of that pillar gets stronger, the technologies are enabling it. And then the accessibility from the output. This thought spot. Now, if you look at the hot spots, why and how do we make this technology accessible? What's the user experience we are? We allow an organization to go from 20 to 30% population, having access to data to what it means to be truly data driven by our users. That user experience is enabled by our ability to lead a person through the search process. There are search index and rankings. This is built for search for corporate data on top of the Cloud Data Warehouse. On top of the data that you need to be able to allow a person who doesn't understand analytics to get access to the data and the questions they need to answer, Arcuri Engine makes it simple for customers to take. Ask those questions and what you might think are not complex business questions. But they turn into complex queries in the back end that someone who typically needs to know that's that power user needs to know are very engine. Isolate that from an end user and allows them to ask that question and drive that query. And it's built on an architecture that allows us to change and adapt to the types of things. It's micro services architecture, that we've not only gone from a non grim system to our cloud offering, in a matter of of really true these 23 years. And it's amazing the reason why we can do that, do that and in a sense, future proof your investment. It's because of the way we've developed this. It's wild. First, it's Michael Services. It's able to drive. So what this architecture ER that we've talked about. We've seen different conversations of beyond its thought spot everywhere, which allows us to take that spot. One. Our ability to for search for search data for auto analyzed the Monitor with that govern security in the background and being able to leverage that not only internally but externally and then being able to take thought spot modeling language for that analysts and that person who just really good at creating and let them create these models that it could be deployed anywhere very, very quickly and then taking advantage off the Cloud Data warehouse or the technology that you have and really give you accessibility the technology that you need as well as the data that you need. That's what you need to be able to administer, uh, to take analytics at scale. So what I'm gonna do now is I'm gonna turn it over to Cheryl and she's gonna talk about administration in thought spot. Cheryl, >>thank you very much Can take. Today. I'm going to show you how you can administrator and manage South Spot for your organization >>covering >>streaming topics, the user management >>data management and >>also user adoption and performance monitoring. Let's jump into the demo. >>I think the Southport Application The Admin Council provides all the core functions needed for system level administration. Let's start with user management and authentication. With the user tab. You can add or delete a user, or you can modify the setting for an existing user. For example, user name, password email. Or you can add the user toe a different group with the group's tab. You can add or delete group, or you can manage the group setting. For example, Privileges associated with all the group members, for example, can administrate a soft spot can share data with all users or can manage data this can manage data privilege is very important. It grants a user the privileges to add data source added table and worksheet, manage data for different organizations or use cases without being an at me. There is also a field called Default Pin Board. You can select a set of PIN board that will be shown toe all of the users in that group on their homepage in terms off authentication. Currently, we support three different methods local active directory and samel By default. Local authentication is enabled and you can also choose to have several integration with an external identity provider. Currently, we support actor Ping Identity, Seaside Minor or a T. F. S. The third method is integration with active directory. You can configure integration with L DAP through active directory, allowing you to authenticate users against an elder up server. Once the users and groups are added to the system, we can share pin board wisdom or they can search to ask and answer their own questions. To create a searchable data, we first need to connect to our data warehouses with embraced. You can directly query the data as it exists in the data warehouse without having to move or transfer the data. In this page, you can add a connection to any off the six supported data warehouses. Today we will be focusing on the administrative aspect off the data management. So I will close the tap here and we will be using the connections that are already being set up. Under the Data Objects tab, we can see all of the tables from the connections. Sometimes there are a lot of tables, and it may be overwhelming for the administrator to manage the data as a best practice. We recommend using stickers toe organize your data sets here, we're going to select the Salesforce sticker. This will refined a list off tables coming from Salesforce only. This helps with data, lineage and the traceability because worksheets are curated data that's based on those tables. Let's take a look at this worksheet. Here we can see the joints between tables that created a schema. Once the data analyst created the table and worksheet, the data is searchable by end users. Let's go to search first, let's select the data source here. We can see all of the data that we have been granted access to see Let's choose the Salesforce sticker and we will see all of the tables and work ship that's available to us as a data source. Let's choose this worksheet as a data source. Now we're ready to search the search Insight can be saved either into a PIN board or an answer. Okay, it's important to know that the sticker actually persist with PIN board and answers. So when the user logging, they will be able to see all of the content that's available to them. Let's go to the Admin Council and check out the User Adoption Pin board. The User Adoption Pin board contains essential information about your soft spot users and their adoption off the platform. Here, you can see daily active user, weekly, active user and monthly active user. Count that in the last 30 days you can also see the total count off the pin board and answers that saved in the system. Here, you can see that unique count off users. Now. You can also find out the top 10 users in the last 30 days. The top 10 PIN board consumers and top 10 ad hoc searchers here, you can see that trending off weekly, active users, daily, active users and hourly active users over time. You can also get information about popular pin boards and user actions in the last one month. Now let's zoom in into this chart. With this chart, you can see weekly active users and how they're using soft spot. In this example, you can see 60% of the time people are doing at Hawk search. If you would like to see what people are searching, you can do a simple drill down on quarry tax. Here we can find out the most popular credit tax that's being used is number off the opportunities. At last, I would like to show you assistant performance Tracking PIN board that's available to the ad means this PIN board contains essential information about your soft spot. Instance performance You this pimple. To understand the query, Leighton see user traffic, how users are interacting with soft spot, most frequently loaded tables and so on. The last component toe scowling hundreds of users, is a great on boarding experience. A new feature we call Search Assist helps automate on boarding while ensuring new users have the foundation. They need to be successful on Day one, when new users logging for the first time, they're presented with personalized sample searches that are specific to their data set. In this example, someone in a sales organization would see questions like What were sales by product? Type in 2020. From there are guided step by step process helps introduce new users with search ensuring a successful on boarding experience. The search assist. The coach is a customized in product Walk through that uses your own data and your own business vocabulary to take your business users from unfamiliar to near fluent in minutes. Instead of showing the entire end user experience today, I will focus on the set up and administration side off the search assist. Search Assist is easy to set up at worksheet level with flexible options for multiple guided lessons. Using preview template, we help you create multiple learning path based on department or based on your business. Users needs to set up a learning path. You're simply feeling the template with relevant search examples while previewing what the end user will see and then increase the complexity with each additional question toe. Help your users progress >>in summary. It is easy to administrator user management, data management, management and the user adoption at scale Using soft spot Admin Council Back to you, Kendrick. >>Thank you, Cheryl. That was great. Appreciate the demo there. It's awesome. It's real life data, real life software. You know what? Enclosing here? I want to talk a little bit about what we've seen out in the marketplace and some of them when we're talking through prospects and customers, what they talk a little bit about. Well, I'm not quite area either. My data is not ready or I've got I don't have a file data warehouse. That's this process. In this thinking on, we have examples and three different examples. We have a company that actually had never I hadn't even thought about analytics at scale. We come in, we talked to them in less than a week. They're able to move their data thought spot and ask questions of the billion rose in less than a week now. We've also had customers that are early adoption. They're sticking their toes in the water around the technology, so they have a lot of data warehouse and they put some data at it, and with 11 minute within 11 minutes, we were able to search on a billion rows of their data. Now they're adding more data to combine to, to be able to work with. And then we have customers that are more mature in their process. Uh, they put large volumes of data within nine minutes. We're asking questions of their data, their business users air understanding. What's going on? A second question we get sometimes is my data is not clean. We'll talk Spot is very, very good at finding that type of data. If you take, you start moving and becomes an inner door process, and we can help with that again. Within a week, we could take data, get it into your system, start asking business questions of that and be ready to go. You know, I'm gonna turn it back to you and thank you for your time. >>Kendrick and Carol thank you for joining us today and bringing all of that amazing inside for our audience at home. Let's do a couple of stretches and then join us in a few minutes for our last session of the track. Insides for all about how Canadian Tire is delivering Korean making business outcomes would certainly not in a I. So you're there

>> Hello everybody. And welcome back to, theCUBE coverage of the Snowflake Data Cloud Summit 2020. We're tracking the rise of the Data Cloud, and fresh off the keynotes here, Frank Slootman, the Chairman and CEO of Snowflake and Anita Lynch, the Vice President of data governance at Disney streaming services. Folks Welcome. >> Thank you >> Thanks for having us Dave. >> Anita Disney plus awesome. You know, we signed up early, watched all the Marvel movies, Hamilton, the new Pixar movie soul. I haven't gotten it to the Mandalorian yet, your favorite. But really appreciate you guys coming on. Let me start with Frank. I'm glad you're putting forth this vision around the Data Cloud, because I never liked the term enterprise data warehouse. What you're doing is so different from the sort of that legacy world that I've known all these years. But start with why the Data Cloud? What problems are you trying to solve? And maybe some of the harder challenges you're seeing. >> Yeah, you know, we have a, we've come a long way in terms of workload execution. Right? In terms of scale and performance, and concurrent execution. We've really taken the lid off, sort of the physical constraints that have existed on these type of operations. But there's one problem that we're not yet solving, and that is the siloing and bunkering of data. And essentially, data is locked in applications, it's locked in data centers, it's locked in cloud, cloud regions. Incredibly hard for data science teams to really unlock the true value of data, when you can't address patterns that exist across data sets. So where we perpetuate a status we've had for forever since the beginning of computing. If we don't start to crack that problem now we have that opportunity. But the notion of a Data Cloud is like basically saying, "Look folks, we have to start on siloing and unlocking the data, and bring it into a place, where we can access it across all these perimeters, and boundaries that have historically existed. It's very much a step level function. Like the customers have always looked at things, one workload at a time, that mentality really has to go. You really have to have a Data Cloud mentality, as well as a workload orientation towards managing data. >> Anita, it was great hearing your role at Disney and in your keynote, and the work you're doing, the governance work. and you're serving a great number of stakeholders, enabling things like data sharing. You got really laser focused on trust, compliance, privacy. This idea of a data clean room is really interesting. Maybe you can expand on some of these initiatives here, and share what you're seeing as some of the biggest challenges to success, and of course, the opportunities that you're unlocking. >> Sure. In my role leading data governance, it's really critical to make sure that all of our stakeholders not only know what data is available and accessible to them. They can also understand really easily and quickly, whether or not the data that they're using is for the appropriate use case. And so that's a big part of how we scale data governance, and a lot of the work that we would normally have to do manually is actually done for us through the data clean rooms. >> Thank you for that. I wonder if you could talk a little bit more about the role of data and how your data strategy has evolved and maybe discuss some of the things that Frank mentioned about data silos. And I mean, obviously you can relate to that having been in the data business for a while, but I wonder if you can elucidate on that. >> Sure. I mean, data complexities are going to evolve over time in any traditional data architecture simply because you often have different teams at different periods and time trying to analyze and gather data across a whole lot of different sources. And the complexity that just arises out of that is due to the different needs of specific stakeholders. There are time constraints and quite often, it's not always clear how much value they're going to be able to extract from the data at the outset. So what we've tried to do to help break down those silos is allow individuals to see upfront how much value they're going to get from the data by knowing that it's trustworthy right away. By knowing that it's something that they can use in their specific use case right away. And by ensuring that essentially as they're continuing to kind of scale the use cases that they're focused on, they're no longer required to make multiple copies of the data, do multiple steps to reprocess the data. And that makes all the difference in the world. >> Yeah, for sure. I'm a copy Creek because it'd be the silent killer. Frank I followed you for a number of years, you're a big thinker, you and I have had a lot of conversations about the near-term, mid-term and long-term, I wonder if you could talk about, in your keynote you're talking about eliminating silos and connecting across data sources. Which is really powerful concept but really only if people are willing and able to connect and collaborate. Where do you see that happening? Maybe what are some of the blockers there? >> Well, there's certainly a natural friction there. I still remember when we first started to talk to, Salesforce, you know, they had discovered that we were a top three destination of Salesforce data and they were wondering why that was, and the reason is of course, that people take Salesforce data push it to snowflake because they want to overlay it with what data outside of Salesforce. Whether it's Adobe or any other marketing dataset. And then they want to run very highly scaled processes on it. But the reflexes in the world of SaaS is always like no, we're an Island, we're a planet down to ourselves. Everybody needs to come with us, as opposed to we go to a different platform to run these types of processes. It's no different for the public cloud vendor. They didn't only, they have massive moats around their storage to really prevent data from leaving their orbit. So there is natural friction in terms for this to happen. But on the other hand there is an enormous need. We can't deliver on the power and potential of data unless we allow it to come together. Snowflake is the platform that allows that to happen. We were pleased with our relationship with Salesforce because they did appreciate why this was important and why this was necessary. And we think, other parts of the industry will gradually come around to it as well. So the idea of a Data Cloud has really come, right. When people are recognizing why this matters now. It's not going to happen overnight. It is a step while will function a very big change in mentality and orientation. >> Yeah. It's almost as though the the SaaS suffocation of our industry sort of repeated some of the application silos and you build a hardened top around it, all the processes are hardened around it and okay, here we go. And you're really trying to break that, aren't you? >> Yep, exactly. >> Anita, again, I want to come back to this notion of governance. It's so it's so important. It's the first role in your title and it really underscores the importance of this. You know, Frank was just talking about some of the hurdles and this is a big one. I mean, we saw this in the early days of big data where governance was just afterthought. It was like bolted on the kind of wild wild West. I'm interested in your governance journey. And maybe you can share a little bit about what role snowflake has played there in terms of supporting that agenda and kind of what's next on that journey. >> Sure. Well, I've led data teams in numerous ways over my career. This is the first time that I've actually had the opportunity to focus on governance and what it's done is allowed for my organization to scale much more rapidly. And that's so critically important for our overall strategy as a company. >> Well, I mean, a big part of what you were talking about at least my inference in your talk was really that the business folks didn't have to care about, you know, wonder about they cared about it, but they don't have to wonder about, and about the privacy concerns, et cetera. You've taken care of all that it's sort of transparent to them. Is that right?| >> Yea That's right absolutely. So we focus on ensuring compliance across all of the different regions where we operate. We also partner very heavily with our legal and information security teams. They're critical to ensuring that we're able to do this. we don't do it alone. But governance includes not just the compliance and the privacy, it's also about data access, and it's also about ensuring data quality. And so all of that comes together under the governance umbrella. I also lead teams that focus on things like instrumentation, which is how we collect data. We focus on the infrastructure and making sure that we've architected for scale and all of these are really important components of our strategy. >> I got a...So I have a question maybe each of you can answer. I sort of see this, our industry moving from products, to then, to platforms and platforms even evolving into ecosystems. And then there's this ecosystem of data. You guys both talked a lot about data sharing but maybe Frank, you can start, Anita you can add on to Frank's answer. You're obviously both passionate about the use of data and trying to do so in a responsible way. That's critical but it's also going to have business impact. Frank, where's this passion come from on your side. And how are you putting into action in your own organization? >> Well, you know I'm really going to date myself here, but many, many years ago, I saw the first glimpse of multidimensional databases that were used for reporting really on IBM mainframes. And it was extraordinarily difficult. We didn't even have the words back then in terms of data warehouses and business. All these terms didn't exist. People just knew that they wanted to have a more flexible in way of reporting and being able to pivot data dimensionally and all these kinds of things. And I just bought whatever this predates windows 3.1, which really, set off the whole sort of graphical, way of dealing with systems which there's now a whole generations of people that don't know any different right? So I've lived the pain of this problem and sort of had a front row seat to watching this transpire over a very long period of time. And that's one of the reasons, why I'm here, because I finally seen, a glimpse of, I also, as an industry fully, fully just unleashing and unlocking to potential. We're now in a place where the technology is ahead of people's ability to harness it. Which we've never been there before. It was always like, we wanted to do things that technology wouldn't let us. It's different now. I mean, people are just, their heads are spinning with what's now possible, which is why you see markets evolve, very rapidly right now we were talking earlier about how you can't take past definitions and concepts and apply them to what's going on in the world. because the world's changing right in front of your eyes right now. >> So Anita maybe you could add on to what Frank just said and share some of the business impacts and outcomes that are notable since you've really applied your your love of data and maybe, maybe touch on, on culture. Data culture, any words of wisdom for folks in the audience who might be thinking about embarking on a Data Cloud journey, similar to what you've been on. >> Yeah sure. I think for me, I fell in love with technology first and then I fell in love with data. And I fell in love with data because of the impact that data can have on both the business and the technology strategy. And so it's sort of that nexus, between all three. And in terms of my career journey and some of the impacts that I've seen. I mean, I think with the advent of the cloud, before, well, how do I say that. Before the cloud actually became so prevalent and such a common part of the strategy that's required it was so difficult, you know, so painful. It took so many hours to actually be able to calculate the volumes of data that we had. Now we have that accessibility, and then on top of it, with the snowflake Data Cloud it's much more performance oriented from a cost perspective because you don't have multiple copies of the data, or at least you don't have to have multiple copies of the data. And I think moving beyond some of the traditional mechanisms for for measuring business impact, has only been possible with the volumes of data that we have available to us today. And it's just, it's phenomenal to see the speed at which we can operate. And really, truly understand our customer's interests and their preferences and then tailor the experiences that they really want and deserve for them. It's, been a great feeling to get to this point in time. >> That's fantastic. So, Frank, I got to ask you this. So in your spare time you decided to write a book, I'm loving it. I don't have a signed copy so I'm going to have to send it back and have you sign it. But, and you're, I love the inside baseball. It's just awesome. So really appreciate that. So, but why did you decide to write a book? >> Well, there were a couple of reasons, obviously we thought of as an interesting tale to tell for anybody, who is interested in what's going on, how did this come about? Who are the characters behind the scenes and all this stuff. But from a business standpoint because this is such a step function it's so non incremental, we felt like, we really needed quite a bit of real estate to really lay out what the full narrative and context is. And, we thought, the books titled the "Rise of the Data Cloud." That's exactly what it is. And we're trying to make the case for that mindset, that mentality, that strategy because all of us, I think as an industry, were at risk of, persisting, perpetuating where we've been since the beginning of computing. So we're really trying to make a pretty forceful case for a look. There's an enormous opportunity out there but there's some choices you have to make along the way. >> Guys, we got to leave it there. Frank, I know you and I are going to talk again Anita, I hope we have a chance to meet face to face and talk in theCUBE live someday. You're phenomenal guests and what a great story. Thank you both for coming on. And thank you for watching. Keep it right there. You're watching the, Snowflake Data Cloud Summit, on theCUBE.

>>Welcome everyone. Good morning. Good evening to all of you around the world. I am so excited to welcome you to launch bad our annual conference for customers, for partners, for our own colleagues here at Mirandes. This is meant to be a forum for learning, for sharing for discovery. One of openness. We're incredibly excited. Do you have you here with us? I want to take a few minutes this morning and opened the conference and share with you first and foremost where we're going as a company. What is our vision then? I also want to share with you on update on what we have been up to you for the past year. Especially with two important acquisitions, Doc Enterprise and then container and lens. And what are some of the latest developments at Mirandes? And then I'll close also with an exciting announcement that we have today, which we hope is going to be interesting and valuable for all of you. But let me start with our mission. What are we here to Dio? It's very simple. We want to help you the ship code faster. This is something that we're very excited about, something that we have achieved for many of you around the world. And we just want thio double down on. We feel this is a mission that's very much worthwhile and relevant and important to you. Now, how do we do that? How do we help you ship code faster? There are three things we believe in. We believe in this world of cloud. Um, choice is incredibly important. We all know that developers want to use the latest tools. We all know that cloud technology is evolving very quickly and new innovations appear, um, very, very quickly, and we want to make them available to you. So choice is very important. At the same time, consuming choice can be difficult. So our mission is to make choice simple for you to give developers and operators simplicity and then finally underpinning everything that we dio is security. These are the three big things that we invest in and that we believe that choice, simplicity and security and the foundation technology that we're betting on to make that happen for you is kubernetes many of you, many of our customers use kubernetes from your aunties today and they use it at scale. And this is something we want to double down on the fundamental benefit. The our key promise we want to deliver for you is Speed. And we feel this is very relevant and important and and valuable in the world that we are in today. So you might also be interested in what have been our priorities since we acquired Doc Enterprise. What has happened for the past year at Miranda's And there are three very important things we focused on as a company. The first one is customer success. Um, when we acquired Doc Enterprise, the first thing we did is listen to you connect with the most important customers and find out what was your sentiment. What did you like? What were you concerned about? What needed to improve? How can we create more value and a better experience for you? So, customers success has been a top of our list of priorities ever since. And here is what we've heard here is what you've told us. You've told us that you very much appreciated the technology that you got a lot of value out of the technology, but that at the same time, there are some things that we can do better. Specifically, you wanted better. Sele's better support experience. You also wanted more clarity on the road map. You also wanted to have a deeper alignment and a deeper relationship between your needs and your requirements and our our technical development that keep people in our development organization are most important engineers. So those three things are were very, very important to you and they were very important to us here. So we've taken that to heart and over the past 12 months, we believe, as a team, we have dramatically improved the customer support experience. We introduced new SLS with prod care. We've rolled out a roadmap to many many of our customers. We've taken your requirements of the consideration and we've built better and deeper relationships with so many of you. And the evidence for that that we've actually made some progress is in a significant increase off the work clothes and in usage of all platforms. I was so fortunate that we were able to build better and stronger relationships and take you to the next level of growth for companies like Visa like soc T general, like nationwide, like Bosch, like Axa X l like GlaxoSmithKline, like standard and Poor's, like Apple A TNT. So many, many off you, Many of all customers around the world, I believe over the past 12 months have experienced better, better, better support strong s L. A s a deeper relationship and a lot more clarity on our roadmap and our vision forward. The second very big priority for us over the last year has been product innovation. This is something that we are very excited about that we've invested. Most of our resource is in, and we've delivered some strong proof points. Doc Enterprise 3.1 has been the first release that we have shipped. Um, as Mirant is as the unified company, Um, it's had some big innovative features or Windows support or a I and machine learning use cases and a significant number off improvements in stability and scalability earlier this year. We're very excited to have a quiet lens and container team, which is by far the most popular kubernetes. I'd, um, in the world today and every day, 600 new users are starting to use lens to manage the community's clusters to deploy applications on top of communities and to dramatically simplify the experience for communities for operators and developers alike. That is a very big step forward for us as a company. And then finally, this week at this conference, we announcing our latest product, which we believe is a huge step forward for Doc Enterprise and which we call Doc Enterprise, Container Cloud, and you will hear a lot more about that during this conference. The third vector of development, the third priority for us as a company over the past year was to become mawr and Mawr developer centric. As we've seen over the past 10 years, developers really move the world forward. They create innovation, they create new software. And while our platform is often managed and run and maybe even purchased by RT architects and operators and I T departments, the actual end users are developers. And we made it our mission a za company, to become closer and closer to developers to better understand their needs and to make our technology as easy and fast to consume as possible for developers. So as a company, we're becoming more and more developers centric, really. The two core products which fit together extremely well to make that happen, or lens, which is targeted squarely at a new breed off kubernetes developers sitting on the desktop and managing communities, environments and the applications on top on any cloud platform anywhere and then DACA enterprise contain a cloud which is a new and radically innovative, contain a platform which we're bringing to market this week. So with this a za background, what is the fundamental problem which we solve for you, for our customers? What is it that we feel are are your pain points that can help you resolve? We see too very, very big trends in the world today, which you are experiencing. On one side, we see the power of cloud emerging with more features mawr innovation, more capabilities coming to market every day. But with those new features and new innovations, there is also an exponential growth in cloud complexity and that cloud complexity is becoming increasingly difficult to navigate for developers and operators alike. And at the same time, we see the pace of change in the economy continuing to accelerate on bits in the economy and in the technology as well. So when you put these two things together on one hand, you have MAWR and Mawr complexity. On the other hand, you have fast and faster change. This makes for a very, very daunting task for enterprises, developers and operators to actually keep up and move with speed. And this is exactly the central problem that we want to solve for you. We want to empower you to move with speed in the middle off rising complexity and change and do it successfully and with confidence. So with that in mind, we are announcing this week at LAUNCHPAD a big and new concept to take the company forward and take you with us to create value for you. And we call this your cloud everywhere, which empowers you to ship code faster. Dr. Enterprise Container Cloud is a lynch bit off your cloud everywhere. It's a radical and new container platform, which gives you our customers a consistent experience on public clouds and private clouds alike, which enables you to ship code faster on any infrastructure, anywhere with a cohesive cloud fabric that meets your security standards that offers a choice or private and public clouds and offer you a offers you a simple, an extremely easy and powerful to use experience. for developers. All of this is, um, underpinned by kubernetes as the foundation technology we're betting on forward to help you achieve your goals at the same time. Lens kubernetes e. It's also very, very well into the real cloud. Every concept, and it's a second very strong linchpin to take us forward because it creates the developing experience. It supports developers directly on their desktop, enabling them Thio manage communities workloads to test, develop and run communities applications on any infrastructure anywhere. So Doc, Enterprise, Container, Cloud and Lens complement each other perfectly. So I'm very, very excited to share this with you today and opened the conference for you. And with this I want to turn it over to my colleague Adam Parker, who runs product development at Mirandes to share a lot more detail about Doc Enterprise Container Cloud. Why we're excited about it. Why we feel is a radical step forward to you and why we feel it can add so much value to your developers and operators who want to embrace the latest kubernetes technology and the latest container technology on any platform anywhere. I look forward to connecting with you during the conference and we should all the best. Bye bye. >>Thanks, Adrian. My name is Adam Parco, and I am vice president of engineering and product development at Mirant ISS. I'm extremely excited to be here today And to present to you Dr Enterprise Container Cloud Doc Enterprise Container Cloud is a major leap forward. It Turpal charges are platform. It is your cloud everywhere. It has been completely designed and built around helping you to ship code faster. The world is moving incredibly quick. We have seen unpredictable and rapid changes. It is the goal of Docker Enterprise Container Cloud to help navigate this insanity by focusing on speed and efficiency. To do this requires three major pillars choice, simplicity and security. The less time between a line of code being written and that line of code running in production the better. When you decrease that cycle, time developers are more productive, efficient and happy. The code is higher, quality contains less defects, and when bugs are found are fixed quicker and more easily. And in turn, your customers get more value sooner and more often. Increasing speed and improving developer efficiency is paramount. To do this, you need to be able to cycle through coding, running, testing, releasing and monitoring all without friction. We enabled us by offering containers as a service through a consistent, cloudlike experience. Developers can log into Dr Enterprise Container Cloud and, through self service, create a cluster No I T. Tickets. No industry specific experience required. Need a place to run. A workload simply created nothing quicker than that. The clusters air presented consistently no matter where they're created, integrate your pipelines and start deploying secure images everywhere. Instantly. You can't have cloud speed if you start to get bogged down by managing, so we offer fully automated lifecycle management. Let's jump into the details of how we achieve cloud speed. The first is cloud choice developers. Operators add mons users they all want. In fact, mandate choice choice is extremely important in efficiency, speed and ultimately the value created. You have cloud choice throughout the full stack. Choice allows developers and operators to use the tooling and services their most familiar with most efficient with or perhaps simply allows them to integrate with any existing tools and services already in use, allowing them to integrate and move on. Doc Enterprise Container Cloud isn't constructive. It's open and flexible. The next important choice we offer is an orchestration. We hear time and time again from our customers that they love swarm. That's simply enough for the majority of their applications. And that just works that they have skills and knowledge to effectively use it. They don't need to be or find coop experts to get immediate value, so we will absolutely continue to offer this choice and orchestration. Our existing customers could rest assure their workloads will continue to run. Great as always. On the other hand, we can't ignore the popularity that growth, the enthusiasm and community ecosystem that has exploded with communities. So we will also be including a fully conforming, tested and certified kubernetes going down the stock. You can't have choice or speed without your choice and operating system. This ties back to developer efficiency. We want developers to be able to leverage their operating system of choice, were initially supporting full stack lifecycle management for a bun, too, with other operating systems like red hat to follow shortly. Lastly, all the way down at the bottom of stack is your choice in infrastructure choice and infrastructure is in our DNA. We have always promoted no locking and flexibility to run where needed initially were supporting open stock AWS and full life cycle management of bare metal. We also have a road map for VM Ware and other public cloud providers. We know there's no single solution for the unique and complex requirements our customers have. This is why we're doubling down on being the most open platform. We want you to truly make this your cloud. If done wrong, all this choice at speed could have been extremely complex. This is where cloud simplification comes in. We offer a simple and consistent as a service cloud experience, from installation to day to ops clusters Air created using a single pane of glass no matter where they're created, giving a simple and consistent interface. Clusters can be created on bare metal and private data centers and, of course, on public cloud applications will always have specific operating requirements. For example, data protection, security, cost efficiency edge or leveraging specific services on public infrastructure. Being able to create a cluster on the infrastructure that makes the most sense while maintaining a consistent experience is incredibly powerful to developers and operators. This helps developers move quick by being able to leverage the infra and services of their choice and operators by leveraging, available, compute with the most efficient and for available. Now that we have users self creating clusters, we need centralized management to support this increase in scale. Doc Enterprise Container cloud use is the single pane of glass for observe ability and management of all your clusters. We have day to ops covered to keep things simple and new. Moving fast from this single pane of glass, you can manage the full stack lifecycle of your clusters from the infra up, including Dr Enterprise, as well as the fully automated deployment and management of all components deployed through it. What I'm most excited about is Doc Enterprise Container Cloud as a service. What do I mean by as a service doctor? Enterprise continue. Cloud is fully self managed and continuously delivered. It is always up to date, always security patched, always available new features and capabilities pushed often and directly to you truly as a service experience anywhere you want, it run. Security is of utmost importance to Miranda's and our customers. Security can't be an afterthought, and it can't be added later with Doctor and a price continued cloud, we're maintaining our leadership and security. We're doing this by leveraging the proven security and Dr Enterprise. Dr. Enterprise has the best and the most complete security certifications and compliance, such as Stig Oscar, How and Phipps 1 $40 to thes security certifications allows us to run in the world's most secure locations. We are proud and honored to have some of the most security conscious customers in the world from all industries into. She's like insurance, finance, health care as well as public, federal and government agencies. With Dr Enterprise Container Cloud. We put security as our top concern, but importantly, we do it with speed. You can't move fast with security in the way so they solve this. We've added what we're calling invisible security security enabled by default and configured for you as part of the platform. Dr Price Container Cloud is multi tenant with granular are back throughout. In conjunction with Doc Enterprise, Docker Trusted Registry and Dr Content Trust. We have a complete end to end secured software supply chain Onley run the images that have gone through the appropriate channels that you have authorized to run on the most secure container engine in the >>industry. >>Lastly, I want to quickly touch on scale. Today. Cluster sprawl is a very real thing. There are test clusters, staging clusters and, of course, production clusters. There's also different availability zones, different business units and so on. There's clusters everywhere. These clusters are also running all over the place. We have customers running Doc Enterprise on premise there, embracing public cloud and not just one cloud that might also have some bare metal. So cloud sprawl is also a very real thing. All these clusters on all these clouds is a maintenance and observe ability. Nightmare. This is a huge friction point to scaling Dr Price. Container Cloud solves these issues, lets you scale quicker and more easily. Little recap. What's new. We've added multi cluster management. Deploy and attach all your clusters wherever they are. Multi cloud, including public private and bare metal. Deploy your clusters to any infra self service cluster creation. No more I T. Tickets to get resources. Incredible speed. Automated Full stack Lifecycle management, including Dr Enterprise Container, cloud itself as a service from the in for up centralized observe ability with a single pane of glass for your clusters, their health, your APs and most importantly to our existing doc enterprise customers. You can, of course, add your existing D clusters to Dr Enterprise Container Cloud and start leveraging the many benefits it offers immediately. So that's it. Thank you so much for attending today's keynote. This was very much just a high level introduction to our exciting release. There is so much more to learn about and try out. I hope you are as excited as I am to get started today with Doc Enterprise. Continue, Cloud, please attend the tutorial tracks up Next is Miska, with the world's most popular Kubernetes E Lens. Thanks again, and I hope you enjoy the rest of our conference.

>>Yeah, >>from The Cube Studios in Palo Alto and Boston. It's the Cube covering IBM. Think brought to you by IBM. >>Everybody welcome back. This is Dave Vellante, and you're watching the Cube's coverage of IBM. Think 2020 the digital version of IBM, thinking the Cube is pleased to be providing the wall to wall coverage, as we have physically. You know, so many years at big IBM events Spaces. Man test is here. He's the managing partner for global strategy for IBM and the Global Business Services. Jesus, great to see you. Thanks for coming on. >>Great to be here, Dave. >>So every guest that we've talked to this week really? We've talked about Cove it, but just briefly Ah, here. We're going to do a big drill down and really try to get Jesus, your perspectives and IBMs Point of view on what's going on here. So let me start with We've never seen anything like this before, Obviously. I mean, there are some examples going back to 1918. Try to get some similarities. But in 1918 was a long, long time ago. So So what's different about this? What are the similarities? >>Yeah, it's Ah, >>you know what Mark Point used to say? That history doesn't repeat, but it often rights, I think that are similar interests off what we're experiencing right now >>in this pandemic with father from that makes like Spanish blue. I think the situation is unique in terms off the I'm the synchronicity of that impact. Right? So we can go back while they're everyone economic crisis or our society crisis >>where you have either one country of one aspect being disrupted. But this is really a society being disrupted, you know, on a global scale. So it impact is unprecedented in that in that perspective, in more than time. And I think all of us are adjusting to it. Um, one of the points of view. Um, we've been able to if you want curate this. IBM is we upgrade 170 countries, so we've been able to see if you want every element of the curve off these convenient, right? So from from getting back to a new normal, that is happening already in China and some of the countries in Asia Pacific to being just kind of like coming over the peat in Europe, North America to some of the emerging countries where they're coming up. So so it gives thing gives us up what business continuity means and the importance of being prepared for this. I think it gives us a perspective on the health aspect of it as well as the economic impact. And most importantly, we've been very focused. Nous ous IBM. I don't have a lot of clients is figuring out What are they going to return back to when we say we want to return to work? I think is, what are we returning to? What are going to be the permanent changes? Where's the adaptation that is gonna be systemic and permanent? I'm not going to be just like, you know, we're going to get through this way. >>Whenever we had a CIO tell us that they weren't ready from a business resiliency business continuity standpoint, they said, we're we were all d are focused, very narrow. Uh, and wow, we really need to rethink that kind of another myth. Your thoughts on that? >>Correct. I think you go back the last three years. Business continuity in most of the decisions that binds would do, I would say I check on the box, right? So he was assumed that you needed to have a business. Continuity was heavily focused on disaster recovery that it was. He must evaluate it under the expectation that it decides there really happens that has now changed permanently, or at least for the foreseeable future, where business continuity is not a check on the box is actually a differentiating feature. And the differentiating feature comes from the fund that on now every one of our fines were prepared. Now every one of our competitors was prepared to the changes, the agility, the efficiency on if you want. The cloud ification of your business is the ability to provide the services in the face of a crisis that forces people to be socially distant, forces people to have to deliver from home. So that has actually become a much >>more important criterion buying decision. So So we, uh, fortunately, we have support very well in that we have 95% of IBM employees. I work from home in 99% of our global delivery centres on network is work from home. And we made that shit even before some of the country's declare that it was a stay at home or so. So that has Bean a feature that now our clients are appreciated. We've been able to to deliver those services so our clients could continue to deliver their services and going forward. I think that's gonna be a much more important if you want. A feature is how cloud ified is your delivery. How prepare are you? Not for just one crisis, but to make, probably subsequent crisis something normal, that one disrupt your operation? You just adapt. >>It's interesting. I had a conversation earlier with Ed Walsh, was one of your GM, said one of your hardware divisions. And and And he was explaining to me that, you know, across your 170 plus countries, you know, it was really the local supply chain. And he actually made the point detection really good quarter in Italy, which surprised me and he said, but they were sort of micro managing at the local level to your to your point. I want I want to ask you about digital transformation because I've made the point that, you know, while a lot of people talk digital transformation, there's been a lot of complacency because they're not in my lifetime where we're a bank. We're making a lot of money. We're doing okay. How do you think over 19 will sort of change that complacency and really accelerate digital transformation is a mindset and actually turn it into action? >>Yeah, I think the best way to put it is, um, digital transformation. Five months ago, it was about obtaining a competitive advantage on digital transformation. Today, in many industries, it's about survival. That is, that is how big of a change car it is. The the need for efficiency and cost savings, the need for resiliency that we have talked about. They need to be able to, um, to drive agility, to be able to switch and about. They need to make hyper local decisions right to use data that none of that can be done unless you have fully digitize processes. You are consuming local data and you have to train the people to really, um, operate in those new, more intelligent processes. So it has gone from Optionality is okay. You can do okay, but if you digitize, you're gonna do better to. Unless you digitize your business may not access next year. I think just change the changes. I think now is widely understood that the majority of our digital digitization processes have to be accelerated. And I would say that is, ah, great statistic that when we go back in history, Andi has been many. As I mentioned off this crisis, you can look back. The two behaviors >>that businesses have one is to play defense funding. What happens two years later on the other one is you defense. But you immediately switched to offense. And then what happens two years later? Those companies that use this time to just defend and hunker down history said in a couple of years later, 21% of them out there for But those businesses that they shift from defense to offense and actually accelerate in this case is, um uh, programs like digitalization. 37% of perform so very sad premium for businesses that right now actually immediately switched to offense. Focus on this set of digitalization and empowering cloud managing data, ensuring the skills of the people. They're more likely not only to survive but thrive in the next three years that don't just use this thanks >>to your point. It's about survival. It's not about, you know, not getting disrupted because you're going to get disrupted. It's almost a certainty. And so, in order to survive, you've got to digitally transform your final thoughts on digital transformation that I want to ask you if there's a silver lining and all this. >>No, I think I mean, um, I'd say the final thoughts is this a sigh said is, I don't think anybody anybody would say that government in and the Christ World crisis that that comes, is is anything that anybody would wish for or would help for. But we can change. I mean, that is the reality it is here. It's impact. It's devastation. Um, I think the human toll that comes from that many families that are being impacted for that, um, you know, I think my my my heart goes to roll those families, my own family. It's in the Spain, one of the worst countries in the world that is being impacted for this. Um so it's ah, it's clearly a tragedy. I think what we do we can't change the company. Um, but we cannot let the conflicts define who we are. Either it's individuals for this company. Well, we can do is to choose How do we act on that pump it? I would say, um, those organizations and those individuals that take advantage of inspiration to understand that some of these behaviors are going to change on this time, that the more that we should technology to the cloud, the more that we should Workloads to the cloud the more that we use technologies like artificial intelligence on Dr Nonlinear decisions that massively optimize everything we do from the way that we deliver healthcare. So the way that we manage supply change to the way that we secure food, frankly, to the way that we protect the environment that is a silver lining, that technology. It is one of those solutions that help in all of these areas, and the silver lining of this is is hopefully, let's use this time to get better, prepare for the next academia to get better, prepare for the next crisis, to implement technologies that drive efficiency faster, they create new jobs, they protect the environment and what we cannot change the fund that we have 19. We can change what happens after the 19 So we return to there's something better than what we enter before. >>Very thoughtful commentary. Jesus. Thank you so much for coming on the cube. A blessing Steer to your family and yourself. >>Appreciate it, Dave. Thank you. And thank you for everything. You do too well, Keep everybody informed. >>Really? Our pleasure. And thank you for watching everybody. This is Dave Volante. You're watching the Cube's coverage of IBM. Think 2020. The digital event. Right back. Right after this. Short break. >>Yeah, yeah, yeah.

foreign continued coverage of AWS re invent my name is Savannah Peterson and I am very excited to be joined by two brilliant blokes in the space of efficiency and performance whether you're on Prem or in the cloud today's discussion is going to be fascinating please welcome Brad and Simon to the show how are you Simon coming in from the UK how you feeling well thank you excellent and Brad we have you coming in from Seattle how are you this morning doing fine thank you excellent and feeling bookish given your background love that I know that you both really care about efficiency and performance it's a very hot topic both of the show and in the industry right now I'm curious I'm going to open it up with you Simon what challenges and I think you've actually continued to tackle these throughout the course of your career what challenges were you facing and wanting to solve when you started yellow dog um really we're just looking at cloud and coming from an on-premise environment really wanted to be able to make accessing Cloud particularly a volume to be simple and straightforward um if you look at today at the number of instance types available from the major Cloud providers there's more than seven thousand different instance types whereas on-prem you go along you select your processes you select your systems it's already be really easy when you hit the cloud you've just got this amazing amount of choice so really it was all about how can you make Intelligent Decisions for you know are you going to run your workload how to match it with what you've got on premise and that was really the inspiration for Rafael so staying there for just a second what does yellow dog provide customers is a SAS system so um you get to it by accessing through the yellow platform and what it allows people to do is to be able to make Intelligent Decisions about where to run their workload would that be on premise or in the cloud it has a wealth of information it understands the costs the performance the latency and the availability of every different instance type in all different clouds it really allows people to uh to be able to make use of that information provision exactly what they need and to be able to run their workloads yeah it also includes a provisioner and it also includes a scheduler as well which is a cloud native scheduler so it's designed to be able to cope with um with cloud in terms of things like spots and interruptions and be able to uh to reschedule and fail over between clouds if there's ever need to do so yeah that sounds incredible and I know this means a lot for partners like AMD Brad talk to me about the partnership and what this means for AMD for your customers yeah absolutely it you know we're excited to be aligned with the uh with a company like yellow dog it's it's um you know the the importance of compute is becoming more and more prevalent every day and it's it's always been top of mind but especially now when you think about what the uh what the economy and the rest of the world is kind of facing over the next you know probably a year or longer it's so important that um that you're able to maximize your dollars and your spend and doing away with uh with uh with absolute certainty that you've got the right type of people behind you uh ensuring that you're your dollars are being spent very wisely and the great thing about yell dogs that they have tremendous insight into uh into cost optimization computer optimization across the entire Globe their their indexes is quite remarkable and what it does is it allows uh customers to actually see just how performant and cost efficient AMD is so it allows us to really put our best foot forward and and gives customers a chance to understand something that they probably weren't uh more familiar with the fact that uh that AMD uh is a tremendous a tremendous value in the marketplace yeah and and uh Simon can you tell us a little bit more about the yellow dog index I'm glad you brought that up Brad yes the yellow index is uh is essentially it's live it's available for anyone to access you can just go to index.yam.tech and you'll be able to see pretty much every single instance type that's available from all the major Cloud providers and be able to make your selection are you looking for GPU type nodes are you looking for AMD processors are you looking just for performance essentially what you're able to do is create a live view of effectively what's available in different data centers around the world and the price at this moment in time also just uh as Brad mentioned in terms of you know cost efficiency and uh and being taking green values seriously as we should we should do the yellow index also has the ability to be able to see at that point in time where the best place to be at a runner job is based upon the lowest carbon impact of running at this moment in time and that for many organizations gives an amazing Insight in not just about being able to find the the understand fishing processes but being able to ensure the greenest energy possible is powering that process when you want to be able to run your workload it's so powerful what you just said and I think when we exactly it's not just about it's not just about power but it's about place when we are are looking at Global Computing at scale what I know that there's ESG advantages in and ESG being a very hot topic when we're talking about AMW on AWS and and and leveraging tools like yellow dog what other sorts of advantages Beyond being least carbon impactful can your Mutual customers benefit from so it's not like I say there's many other features you know a very important thing when you're running a high performance Computing workload is being able to match the instruction set that you're running on premise and then being able to use that in the cloud as well and also to be able to make Intelligent Decisions of where should something run should would something be more efficient um to build on premise should we always try and maximize our on-premise resources before going into the cloud there's a lot about being able to just be able to make decisions and yellow itself it makes thousands of decisions per second to be in a workout where the the best and most optimized places to to run your workload yeah so Brad you work with a lot of companies at scale what type of scale is possible when leveraging Technologies like AMD and yellow dog combined well you know I love the fact that you mentioned uh you know HPC and it's one of the areas that actually is most exciting for for me personally and for and for AMD with the combination of yellow dog and AWS and AWS launched the very first HPC uh instance type last year and you know we're we're we haven't even begun to answer a question we haven't gotten to see um the full-scale capability in the cloud when it comes to these uh these very coordinated and very refined workloads that are running at massive scale and and uh you know we've got some some products we'll be launched in the near future as well that are incredibly performant and you know to be honest I don't think I don't think we have even come close to seeing the scale relative to somebody's very optimized workloads in HPC uh that that we're capable of so um we're excited we're excited for the next few years to see how how we can wrap in um some of the tremendous success that AMD has had on-prem in these these these massive compute centers and replicating that same success inside AWS with companies like yellow dog it's uh it we're excited to see what uh what's what's going to come forward can you give us a preview of anything on the record that gets you really excited about the future I was going to ask you what what had you looking forward to 2023 and Beyond but nothing well not nothing official of course uh but um I will say this you know AMD has recently successful had the launch for Genoa uh it's our next next-gen release and it is um it is proving to be it absolutely is the dominant compute engine it at this point that exists and you know when you start to couple that with the the prowess of AWS you know you could see that over time becoming something potentially that um you know um can really start to change the compute landscape quite a bit so we're hopeful that you know in the future we'll have something along those lines uh with AWS and others and um we're very uh we're very bullish in that area love it uh Simon what about you you've been passionate about low carbon I.T for a long time is carbon neutral Tech in our future what I realize is a bold and lofty claim for you but feel free to give us any of your future predictions um yeah so well I started here trying to build solutions for you know many years ago so 2006 um I was part of a team that launched the the world's lowest powered Windows PC that was actually based on the AMD technology back then so uh you can tell that AMD have been working on a low power for us for a long time in terms of carbon neutral yes I think um certainly there's a there's a few data centers around the world now that are getting very close to uh to carbon neutral some of which may have already achieved it so that's really interesting but so you know the the second part of that is really the the manufacturer of everything that goes into those Services systems and being able to to get to uh you know a net zero on those over a period of time and when we do that which is yeah not without challenges but but certainly possible then we really will have carbon neutral I.T which will be uh a benefit to everyone you know mankind itself yeah casual statement and I have to say that I wholeheartedly agree I think that it's one of the greater challenges of Our Generation especially as what we're able to do in HPC in particular since we're talking about it is only going to grow and scale and magnitude and the amount of data that we have to organize certain process is is wild even today so I love that I'm curious is there anything that you can share with us that's in the pipeline for Yellow Dog anything coming up in the future that's very exciting um so we're coming up very soon um we're going to release something called um version 4 again log which contains um what we call a resource framework which is all about making sure you've got everything you need before you run a job either on-prem or in the cloud so that might be anything from making sure you've got the right licenses making sure that your data is all in the right location making sure you've got all aspects of your workflow ready before you start launching compute and start really but you know burning through dollars with computer could potentially sat there uh not not doing anything until other tasks keep catch up so we're really excited about this new V4 release which will uh which will come out very soon awesome we can't wait to learn more about that hopefully here again on the cube Brad what do Partnerships with companies like yellowdog meme for you and for the customers that you're able to serve yeah it's it's incredibly important I it's you know there's one of the difficulties in in compute that we have today especially in Cloud compute there's there's so much available at this point I mean there was a point in time it was very simple and straightforward it's not even close to being that anymore green so you know one of the things I love about yellow dog itself is actually it does a great they do a great job of making very complex situations and environments fairly simple to understand especially from a business perspective and so one of the things that we love about it is it actually helps our customers you know the AMD direct customers better understand how to properly use our technology and to get the most out of it and so it's difficult for us to articulate that message because you know we are a Semiconductor Company so sometimes it's a little tough to be able to articulate workloads and applications in the way that our customer base will be able to understand but you know it's it's so critical to have companies like yellow dog in the middle that can actually you know make that translation for us directly to the customer um you know and and especially too when you start thinking about ESG and environmental relationships and I'd like to make a comment and one of the things that is fantastic about AMD AWS and yellow we all share the same Mission and we're very public about those missions about just being better to the to the planet and um you know AMD has taken some very aggressive uh targets through 2025 much beyond anything that the industry has expected and you know because of that we are you know we are the most um we are the most power efficient xa6 product on the marketplace and it's not even close and you know I look forward to the day when uh you know you start looking at instance types inside these public Cloud providers in conjunction with the old dog and you can actually even start to see maybe potentially what that carbon footprint is based on those decisions you make on compute and um you know considering that more than half to spend for everybody is generally compute in these environments it's critical to really know what your true impact in the world is and um it's just one of the best parts about a partnership like this oh what a wonderful note to close on and I love both the Synergy between all the partners on a technology level but most importantly on a mission level because none of it matters if we don't have a planet that we can continue to innovate on so I'm I'm really grateful that you're both here fighting a good fight working together and also making a lot of information available for companies of all different sizes as they're navigating very complex decision trees in and operating their stack so thank you both Simon and Brad I really appreciate your time it's been incredibly insightful and thank you to our audience for tuning in to our continuing coverage of AWS re invent here on thecube my name is Savannah Peterson and I look forward to learning more with you soon foreign [Music]

[Music] welcome back to aws storage day 2022 i'm dave vellante and we're pleased to have back on thecube edname the gm of aws file storage ed how you doing good to see you i'm good dave good good to see you as well you know we've been tracking aws storage for a lot of years 16 years actually we we've seen the evolution of services of course we started with s3 and object and saw that expand the block and file and and now the pace is actually accelerating and we're seeing aws make more moves again today and block an object but what about file uh it's one format in the world and the day wouldn't really be complete without talking about file storage so what are you seeing from customers in terms of let's start with data growth how are they dealing with the challenges what are those challenges if you could address you know specifically some of the issues that they're having that would be great and then later we're going to get into the role that cloud file storage plays take it away well dave i'm definitely increasingly hearing customers talk about the challenges in managing ever-growing data sets and they're especially challenged in doing that on-premises when we look at the data that's stored on premises zettabytes of data the fastest growing data sets consist of unstructured data that are stored as files and many cups have tens of petabytes or hundreds of petabytes or even exabytes of file data and this data is typically growing 20 30 percent a year and in reality on-premises models really designed to handle this amount of data in this type of growth and i'm not just talking about keeping up with hardware purchases and hardware floor space but a big part of the challenge is labor and talent to keep up with the growth they're seeing companies managing storage on-prem they really need an unprecedented number of skilled resources to manage the storage and these skill sets are in really high demand and they're in short supply and then another big part of the challenge that customers tell me all the time is that that operating at scale dealing with these ever-growing data sets at scale is really hard and it's not just hard in terms of the the people you need and the skill sets that you need but operating at scale presents net new challenges so for example it becomes increasingly hard to know what data you have and what storage media your data stored on when you have a massive amount of data that's spanning hundreds of thousands or uh thousands of applications and users and it's growing super fast each year and at scale you start seeing edge technical issues get triggered more commonly impacting your availability or your resiliency or your security and you start seeing processes that used to work when you were a much smaller scale no longer work it's just scale is hard it's really hard and then finally companies are wanting to do more with their fast growing data sets to get insights from it and they look at the machine learning and the analytics and the processing services and the compute power that they have at their fingertips on the cloud and having that data be in silos on-prem can really limit how they get the most out of their data you know i've been covering glad you brought up the skills gap i've been covering that quite extensively with my colleagues at etr you know our survey partner so that's a really important topic and we're seeing it across the board i mean really acute in cyber security but for sure just generally in i.t and frankly ceos they don't want to invest in training people to manage storage i mean it wasn't that long ago that managing loans was a was a talent and that's of course nobody does that anymore but they'd executives would much rather apply skills to get value from data so my specific question is what can be done what is aws doing to address this problem well with the growth of data that that we're seeing it it's just it's really hard for a lot of it teams to keep up with just the infrastructure management part that's needed so things like deploying capacity and provisioning resources and patching and conducting compliance reviews and that stuff is just table stakes the asks on these teams to your point are growing to be much bigger than than those pieces so we're really seeing fast uptake of our amazon fsx service because it's such an easy path for helping customers with these scaling challenges fsx enables customers to launch and to run and to scale feature rich and highly performant network attached file systems on aws and it provides fully managed file storage which means that we handle all of the infrastructure so all of that provisioning and that patching and ensuring high availability and customers simply make api calls to do things like scale up their storage or change their performance level at any point or change a backup policy and a big part of why fsx has been so feeling able to customers is it really enables them to to choose the file system technology that powers their storage so we provide four of the most popular file system technologies we provide windows file server netapp ontap open zfs and luster so that storage and application admins can use what they're familiar with so they essentially get the full capabilities and even the management clis that they're used to and that they've built workflows and applications around on-premises but they get along with that of course the benefits of fully managed elastic cloud storage that can be spin up and spun spin down and scaled on demand and performance changed on demand etc and what storage and application admins are seeing is that fsx not only helps them keep up with their scale and growth but it gives them the bandwidth to do more of what they want to do supporting strategic decision making helping their end customers figure out how they can get more value from their data identifying opportunities to reduce cost and what we realize is that for for a number of storage and application admins the cloud is is a different environment from what they're used to and we're making it a priority to help educate and train folks on cloud storage earlier today we talked about aws storage digital badges and we announced a dedicated file badge that helps storage admins and professionals to learn and demonstrate their aws skills in our aws storage badges you can think of them as credentials that represent cloud computing learning that customers can add to their repertoire add to their resume as they're embarking on this cloud journey and we'll be talking more in depth on this later today especially around the file badge which i'm very excited about so a couple things there that i wanted to comment on i mean i was there for the netapp you know your announcement we've covered that quite extensively this is just shows that it's not a zero-sum game necessarily right it's a win-win-win for customers you've got your you know specific aws services you've got partner services you know customers want want choice and then the managed service model you know to me is a no-brainer for most customers we learned this in the hadoop years i mean it just got so complicated then you saw what happened with the managed services around you know data lakes and lake houses it's just really simplified things for customers i mean there's still some customers that want to do it yourself but a managed service for the file storage sounds like a really easy decision especially for those it teams that are overburdened as we were talking about before and i also like you know the education component is nice touch too you get the badge thing so that's kind of cool so i'm hearing that if the fully managed file storage service is a catalyst for cloud adoption so the question is which workloads should people choose to move into the cloud where's the low friction low risk sweet spot ed well that's one of the first questions that customers ask when they're about to embark on their cloud journey and i wish i could give a simple or a single answer but the answer is really it varies and it varies per customer and i'll give you an example for some customers the cloud journey begins with what we call extending on-premises workloads into the cloud so an example of that is compute bursting workloads where customers have data on premises and they have some compute on premises but they want to burst their processing of that data to the cloud because they really want to take advantage of the massive amount of compute that they get on aws and that's common with workloads like visual effects ringer chip design simulation genomics analysis and so that's an example of extending to the cloud really leveraging the cloud first for your workloads another example is disaster recovery and that's a really common example customers will use a cloud for their secondary or their failover site rather than maintaining their their second on-prem location and so that's a lot of customers start with some of those workloads by extending to the cloud and then there's there's a lot of other customers where they've made the decision to migrate most or all of their workloads and they're not they're skipping the whole extending step they aren't starting there they're instead focused on going all in as fast as possible because they really want to get to the full benefits of the cloud as fast as possible and for them the migration journey is really it's a matter of sequencing sequencing which specific workloads to move and when and what's interesting is we're increasingly seeing customers prioritizing their most important and their most mission-critical applications ahead of their other workloads in terms of timing and they're they're doing that to get their workloads to benefit from the added resilience they get from running on the cloud so really it really does uh depend dave yeah thank you i mean that's pretty pretty good description of the options there and i i just come something you know bursting obviously i love those examples you gave around genomics chip design visual effects rendering the dr piece is again very common sort of cloud you know historical you know sweet spots for cloud but then the point about mission critical is interesting because i hear a lot of customers especially with the digital transformation push wanting to change their operating model i mean on the one hand not changing things put it in the cloud the lift and shift you have to change things low friction but then once they get there they're like wow we can do a lot more with the cloud so that was really helpful those those examples now last year at storage day you released a new file service and then you followed that up at re-event with another file service introduction sometimes i can admit i get lost in the array of services so help us understand when a customer comes to aws with like an nfs or an smb workload how do you steer them to the right managed service you know the right horse for the right course yeah well i'll start by saying uh you know a big part of our focus has been in providing choice to customers and what customers tell us is that the spectrum of options that we provide to them really helps them in their cloud journey because there really isn't a one-size-fits-all file system for all workloads and so having these options actually really helps them to to be able to move pretty easily to the cloud um and so my answer to your question about uh where do we steer a customer when they have a file workload is um it really depends on what the customer is trying to do and uh in many cases where they're coming from so i'll walk you through a little bit of of of how we think about this with customers so for storage and application admins who are extending existing workloads to the cloud or migrating workloads to aws the easiest path generally is to move to an fsx file system that provides the same or really similar underlying file system engine that they use on premises so for example if you're running a netapp appliance on premises or a windows file server on premises choosing that option within fsx provides the least effort for a customer to lift their application and their data set and they'll get the full safe set of capabilities that they're used to they'll get the performance profiles that they're used to but of course they'll get all the benefits of the cloud that i was talking about earlier like spin up and spin down and fully managed and elastic capacity then we also provide open source file systems within the fsx family so if you're a customer and you're used to those or if you aren't really wedded to a particular file system technology these are really good options and they're built on top of aws's latest infrastructure innovations which really allows them to provide pretty significant price and performance benefits to customers so for example the file system file servers for these offerings are powered by aws's graviton family of processors and under the hood we use storage technology that's built on top of aws's scalable reliable datagram transport protocol which really optimizes for for speed on the cloud and so for those two open source file systems we have open zfs and that provides a really powerful highly performant nfs v3 and v4 and 4.1 and 4.2 file system built on a fast and resilient open source linux file system it has a pretty rich set of capabilities it has things like point-to-time snapshots and in-place data cloning and our customers are really using it because of these capabilities and because of its performance for a pretty broad set of enterprise i.t workloads and vertically focused workloads like within the financial services space and the healthcare life sciences space and then luster is a scale-out file system that's built on the world's most popular high-performance file system which is the luster open source file system and customers are using it for compute intensive workloads where they're throwing tons of compute at massive data sets and they need to drive tens or hundreds of gigabytes per second of throughput it's really popular for things like machine learning training and high performance computing big data analytics video rendering and transcoding so really those scale out compute intensive workloads and then we have a very different type of customer very different persona and this is the individual that we call the aws builder and these are folks who are running cloud native workloads they leverage a broad spectrum of aws's compute and analytic services and they have really no history of on-prem examples are data scientists who require a file share for training sets research scientists who are performing analysis on lab data developers who are building containerized or serverless workloads and cloud practitioners who need a simple solution for storing assets for their cloud workflows and and these these folks are building and running a wide range of data focused workloads and they've grown up using services like lambda and building containerized workloads so most of these individuals generally are not storage experts and they look for storage that just works s3 and consumer file shares uh like dropbox are their reference point for how cloud storage works and they're indifferent to or unaware of bio protocols like smb or nfs and performing typical nas administrative tasks is just not it's not a natural experience for them it's not something they they do and we built amazon efs to meet the needs of that group it's fully elastic it's fully serverless spreads data across multiple availability zones by default it scales infinitely it works very much like s3 so for example you get the same durability and availability profile of s3 you get intelligent tiering of colder data just like you do on s3 so that service just clicks with cloud native practitioners it's it's intuitive and it just works there's mind-boggling the number of use cases you just went through and this is where it's so you know it's you know a lot of times people roll their eyes oh here's amazon talking about you know customer obsession again but if you don't stay close to your customers there's no way you could have predicted when you're building these services how they were going to be put to use the only way you can understand it is watch what customers do with it i loved the conversation about graviton we've written about that a lot i mean nitro we've written about that how it's you've completely rethought virtualization the security components in there the hpc luster piece and and the efs for data scientists so really helpful there thank you i'm going to change uh topics a little bit because there's been this theme that you've been banging on at storage day putting data to work and i tell you it's a bit of a passion of mine ed because frankly customers have been frustrated with the return on data initiatives it's been historically complicated very time consuming and expensive to really get value from data and often the business lines end up frustrated so let's talk more about that concept and i understand you have an announcement that fits with this scene can you tell us more about that absolutely today we're announcing a new service called amazon file cache and it's a service on aws that accelerates and simplifies hybrid workflows and specifically amazon file cache provides a high speed cache on aws that makes it easier to process file data regardless of where the data is stored and amazon file cache serves as a temporary high performance storage location and it's for data that's stored in on-premise file servers or in file systems or object stores in aws and what it does is it enables enterprises to make these dispersed data sets available to file based applications on aws with a unified view and at high speeds so think of sub millisecond latencies and and tens or hundreds of gigabytes per second of throughput and so a really common use case it supports is if you have data stored on premises and you want to burst the processing workload to the cloud you can set up this cache on aws and it allows you to have the working set for your compute workload be cached near your aws compute so what you would do as a customer when you want to use this is you spin up this cache you link it to one or more on-prem nfs file servers and then you mount this cache to your compute instances on aws and when you do this all of your on-prem data will appear up automatically as folders and files on the cache and when your aws compute instances access a file for the first time the cache downloads the data that makes up that file in real time and that data then would reside on the cache as you work with it and when it's in the cache your application has access to that data at those sub millisecond latencies and at up to hundreds of gigabytes per second of throughput and all of this data movement is done automatically and in the background completely transparent to your application that's running on the compute instances and then when you're done with your workload with your data processing job you can export the changes and all the new data back to your on-premises file servers and then tear down the cache another common use case is if you have a compute intensive file-based application and you want to process a data set that's in one or more s3 buckets you can have this cache serve as a really high speed layer that your compute instances mount as a network file system you can also place this cache in front of a mix of on-prem file servers and s3 buckets and even fsx file systems that are on aws all of the data from these locations will appear within a single name space that clients that mount the cache have access to and those clients get all the performance benefits of the cache and also get a unified view of their data sets and and to your point about listening to customers and really paying attention to customers dave we built this service because customers asked us to a lot of customers asked us to actually it's a really helpful enable enabler for a pretty wide variety of cloud bursting workloads and hybrid workflows ranging from media rendering and transcoding to engineering design simulation to big data analytics and it really aligns with that theme of extend that we were talking about earlier you know i often joke that uh aws has the best people working on solving the speed of light problem so okay but so this idea of bursting as i said has been a great cloud use case from the early days and and bringing it to file storage is very sound and approach with file cache looks really practical um when is the service available how can i get started you know bursting to aws give us the details there yeah well stay tuned we we announced it today at storage day and it will be generally available later this year and once it becomes available you can create a cache via the the aws management console or through the sdks or the cli and then within minutes of creating the cache it'll be available to your linux instances and your instances will be able to access it using standard file system mount commands and the pricing model is going to be a pretty familiar one to cloud customers customers will only pay for the cash storage and the performance they need and they can spin a cash up and use it for the duration of their compute burst workload and then tear it down so i'm really excited that amazon file cache will make it easier for customers to leverage the agility and the performance and the cost efficiency of aws for processing data no matter where the data is stored yeah cool really interested to see how that gets adopted ed always great to catch up with you as i said the pace is mind-boggling it's accelerating in the cloud overall but storage specifically so by asking us can we take a little breather here can we just relax for a bit and chill out uh not as long as customers are asking us for more things so there's there's more to come for sure all right ed thanks again great to see you i really appreciate your time thanks dave great catching up okay and thanks for watching our coverage of aws storage day 2022 keep it right there for more in-depth conversations on thecube your leader in enterprise and emerging tech coverage [Music] you

hi everybody welcome back to boston you're watching thecube's coverage of reinforce 2022 last time we were here live was 2019. had a couple years of virtual merit bear is here she's with the office of the cso for aws merit welcome back to the cube good to see you thank you for coming on thank you so much it's good to be back um yes cso chief information security officer for folks who are acronym phobia phobic yeah okay so what do you do for the office of the is it ciso or sizzo anyway ah whatever is it sim or theme um i i work in three areas so i sit in aws security and i help us do security we're a shop that runs on aws i empathize with folks who are running shops it is process driven it takes hard work but we believe in certain mechanisms and muscle groups so you know i work on getting those better everything from how we do threat intelligence to how we guard rail employees and think about vending accounts and those kinds of things i also work in customer-facing interactions so when a cso wants to meet awssc so that's often me and then the third is product side so ensuring that everything we deliver not just security services are aligned with security best practices and expectations for our customers so i have to ask you right off the bat so we do a lot of spending surveys we have a partner etr i look at the data all the time and for some reason aws never shows up in the spending metrics why do you think that is maybe that talks to your strategy let's double click on that yeah so first of all um turn on guard duty get shield advanced for the you know accounts you need the 3k is relatively small and a large enterprise event like this doesn't mean don't spend on security there is a lot of goodness that we have to offer in ess external security services but i think one of the unique parts of aws is that we don't believe that security is something you should buy it's something that you get from us it's something that we do for you a lot of the time i mean this is the definition of the shared responsibility model right everything that you interact with on aws has been subject to the same rigorous standards and we aws security have umbrella arms around those but we also ensure that service teams own the security of their service so a lot of times when i'm talking to csos and i say security teams or sorry service teams own the security of their service they're curious like how do they not get frustrated and the answer is we put in a lot of mechanisms to allow those to go through so there's automation there are robots that resolve those trouble tickets you know like and we have emissaries we call them guardian champions that are embedded in service teams at any rate the point is i think it's really beautiful the way that customers who are you know enabling services in general benefit from the inheritances that they get and in some definition this is like the value proposition of cloud when we take care of those lower layers of the stack we're doing everything from the concrete floors guards and gates hvac you know in the case of something like aws bracket which is our quantum computing like we're talking about you know near vacuum uh environments like these are sometimes really intricate and beautiful ways that we take care of stuff that was otherwise manual and ugly and then we get up and we get really intricate there too so i gave a talk this morning about ddos protection um and all the stuff that we're doing where we can see because of our vantage point the volume and that leads us to be a leader in volumetric attack signatures for example manage rule sets like that costs you nothing turn on your dns firewall like there are ways that you just as a as an aws customer you inherit our rigorous standards and you also are able to benefit from the rigor with which we you know exact ourselves to really you're not trying to make it a huge business at least as part of your your portfolio it's just it's embedded it's there take advantage of it i want everyone to be secure and i will go to bad to say like i want you to do it and if money is a blocker let's talk about that because honestly we just want to do the right thing by customers and i want customers to use more of our services i genuinely believe that they are enablers we have pharma companies um that have helped enable you know personalized medicine and some of the copic vaccines we have you know like there are ways that this has mattered to people in really intimate ways um and then fun ways like formula one uh you know like there are things that allow us to do more and our customers to do more and security should be a way of life it's a way of breathing you don't wake up and decide that you're going to bolt it on one day okay so we heard cj moses keynote this morning i presume you were listening in uh we heard a lot about you know cool tools you know threat detection and devops and container security but he did explicitly talked about how aws is simplifying the life of the cso so what are you doing in that regard and what's that that's let's just leave it there for now i talk to c sales every day and i think um most of them have two main concerns one is how to get their organization to grow up like to understand what security looks like in a cloudy way um and that means that you know your login monitoring is going to be the forensics it's not going to be getting into the host that's on our side right and that's a luxury like i think there are elements of the cso job that have changed but that even if you know cj didn't explicitly call them out these are beauties things like um least privilege that you can accomplish using access analyzer and all these ways that inspector for example does network reachability and then all of these get piped to security hub and there's just ways that make it more accessible than ever to be a cso and to enable and embolden your people the second side is how csos are thinking about changing their organization so what are you reporting to the board um how are you thinking about hiring and um in the metrics side i would say you know being and i get a a lot of questions that are like how do we exhibit a culture of security and my answer is you do it you just start doing it like you make it so that your vps have to answer trouble tickets you may and and i don't mean literally like every trouble ticket but i mean they are 100 executives will say that they care about security but so what like you know set up your organization to be responsive to security and to um have to answer to them because it matters and and notice that because a non-decision is a decision and the other side is workforce right and i think um i see a lot of promise some of it unfulfilled in folks being hired to look different than traditional security folks and act different and maybe a first grade teacher or an architect or an artist and who don't consider themselves like particularly technical like the gorgeousness of cloud is that you can one teach yourself this i mean i didn't go to school for computer science like this is the kind of thing we all have to teach ourselves but also you can abstract on top of stuff so you're not writing code every day necessarily although if you are that's awesome and we love debbie folks but you know there's there's a lot of ways in which the machine of the security organization is suggesting i think cj was part to answer your question pointedly i think cj was trying to be really responsive to like all the stuff we're giving you all the goodness all the sprinkles on your cupcake not at all the organizational stuff that is kind of like you know the good stuff that we know we need to get into so i think so you're saying it's it's inherent it's inherently helping the cso uh her life his life become less complex and i feel like the cloud you said the customers are trying to become make their security more cloudy so i feel like the cloud has become the first line of defense now the cso your customer see so is the second line of defense maybe the audit is the third line what does that mean for the role of the the cso how is that they become a compliance officer what does that mean no no i think actually increasingly they are married or marriable so um when you're doing so for example if you are embracing [Music] ephemeral and immutable infrastructure then we're talking about using something like cloud formation or terraform to vend environments and you know being able to um use control tower and aws organizations to dictate um truisms through your environment you know like there are ways that you are basically in golden armies and you can come back to a known good state you can embrace that kind of cloudiness that allows you to get good to refine it to kill it and spin up a new infrastructure and that means though that like your i.t and your security will be woven in in a really um lovely way but in a way that contradicts certain like existing structures and i think one of the beauties is that your compliance can then wake up with it right your audit manager and your you know security hub and other folks that do compliance as code so you know inspector for example has a tooling that can without sending a single packet over the network do network reachability so they can tell whether you have an internet facing endpoint well that's a pci standard you know but that's also a security truism you shouldn't have internet facing endpoints you don't approve up you know like so these are i think these can go in hand in hand there are certainly i i don't know that i totally disregard like a defense in-depth notion but i don't think that it's linear in that way i think it's like circular that we hope that these mechanisms work together that we also know that they should speak to each other and and be augmented and aware of one another so an example of this would be that we don't just do perimeter detection we do identity-based fine-grained controls and that those are listening to and reasoned about using tooling that we can do using security yeah we heard a lot about reasoning as well in the keynote but i want to ask about zero trust like aws i think resisted using that term you know the industry was a buzzword before the pandemic it's probably more buzzy now although in a way it's a mandate um depending on how you look at it so i mean you anything that's not explicitly allowed is denied in your world and you have tools and i mean that's a definition if it's a die that overrides if it's another it's a deny call that will override and allow yeah that's true although anyway finish your question yeah yeah so so my it's like if there's if there's doubt there's no doubt it seems in your world but but but you have a lot of capabilities seems to me that this is how you you apply aws internal security and bring that to your customers do customers talk to you about zero trust are they trying to implement zero trust what's the best way for them to do that when they don't have that they have a lack of talent they don't have the skill sets uh that it and the knowledge that aws has what are you hearing from customers in that regard yeah that's a really um nuanced phrasing which i appreciate because i think so i think you're right zero trust is a term that like means everything and nothing i mean like this this notebook is zero trust like no internet comes in or out of it like congratulations you also can't do business on it right um i do a lot of business online you know what i mean like you can't uh transact something to other folks and if i lose it i'm screwed yeah exactly i usually have a water bottle or something that's even more inanimate than your notebook um but i guess my point is we i don't think that the term zero trust is a truism i think it's a conceptual framework right and the idea is that we want to make it so that someone's position in the network is agnostic to their permissioning so whereas in the olden days like a decade ago um we might have assumed that when you're in the perimeter you just accept everything um that's no longer the right way to think about it and frankly like covid and work from home may have accelerated this but this was ripe to be accelerated anyway um what we are thinking about is both like you said under the network so like the network layer are we talking about machine to machine are we talking about like um you know every api call goes over the open internet with no inherent assurances human to app or it's protected by sig v4 you know like there is an inherent zero trust case that we have always built this goes back to a jeff bezos mandate from 2002 that everything be an api call that is again this kind of like building security into it when we say security is job zero it not only reflects the fact that like when you build a terraform or a cloud formation template you better have permission things appropriately or try to but also that like there is no cloud without security considerations you don't get to just bolt something on after the fact so that being said now that we embrace that and we can reason about it and we can use tools like access analyzer you know we're also talking about zero trust in that like i said augmentation identity centric fine grained controls so an example of this would be a vpc endpoint policy where it is a perm the perimeter is dead long live the perimeter right you'll have your traditional perimeter your vpc or your vpn um augmented by and aware of the fine-grained identity-centric ones which you can also reason about prune down continuously monitor and so on and that'll also help you with your logging and monitoring because you know what your ingress and egress points are how concerned should people be with quantum messing up all the encryption algos oh it's stopping created right okay so but we heard about this in the keynote right so is it just a quantum so far off by the time we get there is it like a y2k you're probably not old enough to remember y2k but y2k moment right i mean i can't take you anywhere what should we um how should we be thinking about quantum in the context of security and sure yeah i mean i think we should be thinking about quantum and a lot of dimensions as operationally interesting and how we can leverage i think we should be thinking about it in the security future for right now aes256 is something that is not broken so we shouldn't try to fix it yeah cool encrypt all the things you can do it natively you know like i love talking about quantum but it's more of an aspirational and also like we can be doing high power compute to solve problems you know but like for it to get to a security uh potentially uh vulnerable state or like something that we should worry about is a bit off yeah and show me an application that can yeah and i mean and i think at that point we're talking about homomorphic improvements about another thing i kind of feel the same way is that you know there's a lot of hype around it a lot of ibm talks about a lot you guys talked about in your keynote today and when i really talk to people who understand this stuff it seems like it's a long long way off i don't think it's a long long way off but everything is dog years in tech world but um but for today you know like for today encrypt yourself we will always keep our encryption up to standard and you know that will be for now like the the industry grade standard that folks i mean like i i have i have never heard of a case where someone had their kms keys broken into i um i always ask like awesome security people this question did you like how did you get into this did you have like did you have a favorite superhero as a kid that was going to save the world i um was always the kid who probably would have picked up a book about the cia and i like find this and i don't remember who i was before i was a security person um but i also think that as a woman um from an american indian family walking through the world i think about the relationship between dynamics with the government and companies and individuals and how we want to construct those and the need for voices that are observant of the ways that those interplay and i always saw this as a field where we can do a lot of good yeah amazing merritt thanks so much for coming on thecube great guest john said you would be really appreciate your time of course all right keep it ready you're very welcome keep it right there this is dave vellante for the cube we'll be right back at aws reinforced 2022 from boston keep right there [Music]

>>The cube presents, Coon and cloud native con Europe, 2022, brought to you by red hat, the cloud native computing foundation and its ecosystem partners. >>Welcome to Valencia Spain in Coon cloud native con 2022 Europe. I'm Keith Townsend, along with my cohot on Rico senior, Etti senior it analyst at gig home. We are talking to amazing people, creators people contributing to all these open source projects. Speaking of open source on Rico. Talk to me about the flavor of this show versus a traditional like vendor show of all these open source projects and open source based companies. >>Well, first of all, I think that the real difference is that this is a real conference. Hmm. So real people talking about, you know, projects about, so the, the open source stuff, the experiences are, you know, on stage and there are not really too many product pitches. It's, it's about, it's about the people. It's about the projects. It's about the, the challenges they had, how they, you know, overcome some of them. And, uh, that's the main difference. I mean, it's very educative informative and the kind of people is different. I mean, developers, you know, SREs, you know, you find ends on people. I mean, people that really do stuff that that's a real difference. I mean, uh, quite challenginghow discussing with them, but really, I mean, because they're really opinionated, but >>So we're gonna get talked to, to a company that has boosts on the ground doing open source since the, almost the start mm-hmm <affirmative> Kirsten newcomer, director of hybrid platform security at red hat and, uh, Connor Gorman, senior principal software engineer at red hat. So Kirsten, we're gonna start with you security and Kubernetes, you know, is Kubernetes. It's a, it's a race car. If I wanted security, I'd drive a minivan. <laugh> >>That's, that's a great frame. I think, I think though, if we stick with your, your car analogy, right, we have seen cars in cars and safety in cars evolve over the years to the point where you have airbags, even in, you know, souped up cars that somebody's driving on the street, a race car, race cars have safety built into, right. They do their best to protect those drivers. So I think while Kubernetes, you know, started as something that was largely, you know, used by Google in their environment, you know, had some perimeter based security as Kubernetes has become adopted throughout enterprises, as people. And especially, you know, we've seen the adoption accelerate during the pandemic, the move to both public cloud, but also private cloud is really accelerated. Security becomes even more important. You can't use Kubernetes in banking without security. You can't use it, uh, in automotive without security telco. >>And Kubernetes is, you know, Telco's adoption, Telco's deploying 5g on Kubernetes on open shift. Um, and, and this is just so the security capabilities have evolved over time to meet the customers and the adopters really red hat because of our enterprise customer base, we've been investing in security capabilities and we make those contributions upstream. We've been doing that really from the beginning of our adoption of Kubernetes, Kubernetes 1.0, and we continue to expand the security capabilities that we provide. And which is one of the reasons, you know, the acquisition of stack rocks was, was so important to us. >>And, and actually we are talking about security at different levels. I mean, so yeah, and different locations. So you are securing an edge location differently than a data center or, or, or maybe, you know, the cloud. So there are application level security. So there are so many angles to take this. >>Yeah. And, and you're right. I mean, I, there are the layers of the stack, which starts, you know, can start at the hardware level, right. And then the operating system, the Kubernetes orchestration all the services, you need to have a complete Kubernetes solution and application platform and then the services themselves. And you're absolutely right. That an edge deployment is different than a deployment, uh, on, you know, uh, AWS or in a private da data center. Um, and, and yet, because there is this, if you, if you're leveraging the heart of Kubernetes, the declarative nature of Kubernetes, you can do Kubernetes security in a way that can be consistent across these environments with the need to do some additions at the edge, right? You may, physical security is more important at the edge hardware based encryption, for example, whereas in a, in a cloud provider, your encryption might be at the cloud provider storage layer rather than hardware. >>So how do you orchestrate, because we are talking about orchestration all day and how do you orchestrate all these security? >>Yep. So one of the things, one of the evolutions that we've seen in our customer base in the last few years is we used to have, um, a small number of large clusters that our customers deployed and they used in a multi-tenant fashion, right? Multiple teams from within the organization. We're now starting to see a larger number of smaller clusters. And those clusters are in different locations. They might be, uh, customers are both deploying in public cloud, as well as private, you know, on premises, um, edge deployments, as you mentioned. And so we've invested in, uh, multi cluster management and, or, you know, sort of that orchestration for orchestrators, right? The, and because again of the declarative nature of Kubernetes, so we offer, uh, advanced cluster management, red hat, advanced cluster management, which we open sourced as the multi cluster engine CE. Um, so that component is now also freely available, open source. We do that with everything. So if you need a way to ensure that you have managed the configuration appropriately across all of these clusters in a declarative fashion, right. It's still YAML, it's written in YAML use ACM use CE in combination with a get ops approach, right. To manage that, uh, to ensure that you've got that environment consistent. And, and then, but then you have to monitor, right. You have to, I'm wearing >>All of these stack rocks >>Fits in. I mean, yeah, sure. >>Yeah. And so, um, you know, we took a Kubernetes native approach to securing all of this. Right. And there's kind of, uh, we have to say, there's like three major life cycles. You have the build life cycle, right. You're building these imutable images to go deployed to production. Right. That should never change that are, you know, locked at a point in time. And so you can do vulnerability scanning, you can do compliance checks at that point right. In the build phase. But then you put those in a registry, then those go and be deployed on top of Kubernetes. And you have the configuration of your application, you know, including any vulnerabilities that may exist in those images, you have the R back permissions, right. How much access does it have to the cluster? Is it exposed on the internet? Right. What can you do there? >>And then finally you have, the runtime perspective of is my pod is my container actually doing what I think it's supposed to do. Is it accessing all the right things? Is it running all the right processes? And then even taking that runtime information and influencing the configuration through things like network policies, where we have a feature called process baselining that you can say exactly what processes are supposed to run in this pod. Um, and then influencing configuration in that way to kind of be like, yeah, this is what it's doing. And let's go stamp this, you know, declaratively so that when you deploy it the next time you already have security built in at the Kubernetes level. >>So as we've talked about a couple of different topics, the abstraction layers, I have security around DevOps. So, you know, I have multi tendency, I have to deal with, think about how am I going to secure the, the, the Kubernetes infrastructure itself. Then I have what seems like you've been talking about here, Connor, which is dev SecOps mm-hmm <affirmative> and the practice of securing the application through policy. Right. Are customers really getting what's under the hood of dev SecOps? >>Do you wanna start or yeah. >>I mean, I think yes and no. I think, um, you know, we've, some organizations are definitely getting it right. And they have teams that are helping build things like network policies, which provide network segmentation. I think this is huge for compliance and multi-tenancy right. Just like containers, you know, one of the main benefits of containers, it provides this isolation between your applications, right? And then everyone's familiar with the network firewall, which is providing network segmentation, but now in between your applications inside Kubernetes, you can create, uh, network segmentation. Right. And so we have some folks that are super, super far along that path and, and creating those. And we have some folks who have no network policies except the ones that get installed with our products. Right. And then we say, okay, how can we help you guys start leveraging these things and, and creating maybe just basic name, space isolation, or things like that. And then trying to push that back into more the declarative approach. >>So some of what I think we hear from, from what Connor just te teed up is that real DevSecOps requires breaking down silos between developers, operations and security, including network security teams. And so the Kubernetes paradigm requires, uh, involvement actually, in some ways, it, it forces involvement of developers in things like network policy for the SDN layer, right? You need to, you know, the application developer knows which, what kinds of communication he or she, his app or her app needs to function. So they need to define, they need to figure out those network policies. Now, some network security teams, they're not familiar with YAML, they're not necessary familiar with software development, software defined networking. So there's this whole kind of, how do we do the network security in collaboration with the engineering team? And when people, one of the things I worry about, so DevSecOps it's technology, but it's people in process too. >>Right. And one of the things I think people are very comfortable adopting vulnerability scanning early on, but they haven't yet started to think about the network security angle. This is one area that not only do we have the ability in ACS stack rocks today to recommend a network policy based on a running deployment, and then make it easy to deploy that. But we're also working to shift that left so that you can actually analyze app deployment data prior to it being deployed, generate a network policy, tested out in staging and, and kind of go from the beginning. But again, people do vulnerability analysis shift left, but they kind of tend to stop there and you need to add app config analysis, network communication analysis, and then we need appropriate security gates at deployment time. We need the right automation that helps inform the developers. Not all developers have security expertise, not all security people understand a C I C D pipeline. Right. So, so how, you know, we need the right set of information to the right people in the place they're used to working in order to really do that infinity loop. >>Do you see this as a natural progression for developers? Do they really hit a wall before, you know, uh, finding out that they need to progress in, in this, uh, methodology? Or I know >>What else? Yeah. So I think, I think initially there's like a period of transition, right? Where there's sometimes there's opinion, oh, I, I ship my application. That's what I get paid for. That's what I do. Right. <laugh> um, and, and, but since, uh, Kubernetes has basically increased the velocity of developers on top, you know, of the platform in order to just deploy their own code. And, you know, we have every, some people have commits going to production, you know, every commitment on the repo goes to production. Right. Um, and so security is even more at the forefront there. So I think initially you hit a little bit of a wall security scans in CI. You could get some failures and some pushback, but as long as these are very informative and actionable, right. Then developers always wanna do the right thing. Right. I mean, we all want to ship secure code. >>Um, and so if you can inform you, Hey, this is why we do this. Or, or here's the information about this? I think it's really important because I'm like, right, okay. Now when I'm sending my next commits, I'm like, okay, these are some constraints that I'm thinking about, and it's sort of like a mindset shift, but I think through the tooling that we like know and love, and we use on top of Kubernetes, that's the best way to kind of convey that information of, you know, honestly significantly smaller security teams than the number of developers that are really pushing all of this code. >>So let's scale out what, talk to me about the larger landscape projects like prime cube, Litner, OPPI different areas of investment in, in, in security. Talk to me about where customers are making investments. >>You wanna start with coup linter. >>Sure. So coup linter was a open source project, uh, when we were still, uh, a private company and it was really around taking some of our functionality on our product and just making it available to everyone, to basically check configuration, um, both bridging DevOps and SecOps, right? There's some things around, uh, privileged containers, right? You usually don't wanna deploy those into your environment unless you really need to, but there's other things around, okay, do I have anti affinity rules, right. Am I running, you know, you can run 10 replicas of a pod on the same node, and now your failure domain is a single node. Now you want them on different nodes, right. And so you can do a bunch of checks just around the configuration DevOps best practices. And so we've actually seen quite a bit of adoption. I think we have like almost 2000 stars on, uh, and super happy to see people just really adopt that and integrate it into their pipelines. It's a single binary. So it's been super easy for people to take it into their C I C D and just, and start running three things through it and get, uh, you know, valuable insights into, to what configurations they should change. Right. >>And then if you're, if you were asking about things like, uh, OPPA, open policy agent and OPPA gatekeeper, so one of the things happening in the community about OPPA has been around for a while. Uh, they added, you know, the OPPA gatekeeper as an admission controller for Cobe. There's also veno another open source project that is doing, uh, admission as the Kubernetes community has, uh, kind of is decided to deprecate pod security policies, um, which had a level of complexity, but is one of the key security capabilities and gates built into Kubernetes itself. Um, OpenShift is gonna continue to have security context constraints, very similar, but it prevents by default on an OpenShift cluster. Uh, not a regular user cannot deploy a privileged pod or a pod that has access to the host network. Um, and there's se Linux configuration on by default also protects against container escapes to the file system or mitigates them. >>So pod security policies were one way to ensure that kind of constraint on what the developer did. Developers might not have had awareness of what was important in terms of the level of security. And so again, the cube and tools like that can help to inform the developer in the tools they use, and then a solution like OPPA, gatekeeper, or SCCs. That's something that runs on the cluster. So if something got through the pipeline or somebody's not using one of these tools, those gates can be leveraged to ensure that the security posture of the deployment is what the organization wants and OPPA gatekeeper. You can do very complex policies with that. And >>Lastly, talk to me about Falco and Claire, about what Falco >>Falco and yep, absolutely. So, um, Falco, great runtime analysis have been and something that stack rocks leveraged early on. So >>Yeah, so yeah, we leveraged, um, some libraries from Falco. Uh, we use either an EB P F pro or a kernel module to detect runtime events. Right. And we, we primarily focus on network and process activity as, um, as angles there. And then for Claire, um, it's, it's now within red hat again, <laugh>, uh, through the acquisition of cores, but, uh, we've forked in added a bunch of things around language vulnerabilities and, and different aspects that we wanted. And, uh, and you know, we're really interested in, I think, you know, the code bases have diversion a little bit Claire's on V4. We, we were based off V2, but I think we've both added a ton of really great features. And so I'm really looking forward to actually combining all of those features and kind of building, um, you know, we have two best of best of breed scanners right now. And I'm like, okay, what can we do when we put them together? And so that's something that, uh, I'm really excited about. >>So you, you somehow are aiming at, you know, your roadmap here now putting everything together. And again, orchestrated well integrated yeah. To, to get, you know, also a simplified experience, because that could be the >>Point. Yeah. And, and as you mentioned, you know, it's sort of that, that orchestration of orchestrators, like leveraging the Kubernetes operator principle to, to deliver an app, an opinionated Kubernetes platform has, has been one of the key things we've done. And we're doing that as well for security out of the box security policies, principles based on best practices with stack rocks that can be leveraged in the community or with red hat, advanced cluster security, combining our two scanners into one clear based scanner, contributing back, contributing back to Falco all of these things. >>Well, that speaks to the complexity of open source projects. There's a lot of overlap in reconciling. That is a very difficult thing. Kirsten Connor, thank you for joining the cube Connor. You're now a cube alone. Welcome to main elite group. Great. From Valencia Spain, I'm Keith Townsend, along with en Rico senior, and you're watching the cue, the leader in high tech coverage.

(techno music) >> At Ducati, we create racing bikes and road bikes, and unique experiences for our bikers. The Ducati teams participate in 19 races, in 15 countries, on five continents, as part of Moto GP Championship around the world. When you own a bike, you are part of a new family, the Ducatisti. (engine revving) We have a DNA racing, that we bring into everyday's bike, you can be a racer, or you can be someone who want to go down downtown Bologna, or San Francisco, or Bangkok. Data is at the heart of the Ducati digital strategy, in racing we know how to analyze data, the experience is directly moved to our road bikes. In race bikes and road bikes we have physical sensors, now thanks to machine learning, artificial intelligence, we can bring to data together to create Bitron sensors, that give us information that were not available before. We are looking for a partner that truly understands the value and the power of data, and this happened to be NetAPP. We want to arrange data in new ways, to transform the sport of Moto GP racing, and the road bike experience. NetAPP has controlled data to make experimentation more quickly, the bike we race on Sunday, is the bike we sell on Monday, and we can test the riders sensation through data. I'm Piergiorgio Grossi, and I'm data driven. (techno music) >> Narrator: Live from Las Vegas, it's the Cube, covering NetAPP Insight 2018, brought to you by NetAPP. >> Welcome back the the Cube our continuing coverage today, from the Mandalay Bay of NetAPP Insight 2018, I'm Lisa Martin with Stu Miniman and we have a couple of guests joining us. If you're a Motorsport fan, turn the volume up. First we have, welcoming back to the Cube, Jean English, the SVP and CMO at NetAPP, great to have you back Jean!. >> Oh thank you very much, excited to be here. >> And we have Konstantin Kostenarov, CTO of Ducati Motor, wow Ducati, there is by the way, I encourage you to go to the NetAPP.com web site after the segment here there's a very cool video about how Ducati is working with NetAPP on the racing side, these bikes are like flying IOT devices, as well as the consumer side. So Jean let's kick of things with you, this is day one, record breaking attendance for NetAPP, 5000 attendees, we were in the Keynote this morning, standing room only, talk to us about NetAPP as a Data authority, what's some of the feedback that you're hearing from your wealth of partners and customers that are here this week? >> Absolutely, well we're thrilled to have so many partners and customers and employees here with us, record breaking attendance, more customers and partners that have ever joined us before here at Insight a Data authority, people are asking us what do I need to do to maximize the value of that data, whether it's integrating the data, simplifying the data, they're trying to figure it out, and most of the time it's in a Hybrid role, it's in a multiclout world, and so we're just excited about where we are with our strategy, we're bringing it to life, more and more customers, like Ducati everyday are helping us to see this vision come true and we just can't wait to get started with everyone else. >> And this is a really interesting example, NetAPP has, in it's 26 year history, a massive install base, probably every industry, but when you look at something like Ducati, which probably every guy knows about, I have some Motorsport experience myself, it's much more of a, oh as a consumer, as a fan of the sport, so Konstantin, tell us about Ducati's decision to work with NetAPP, because you guys aim to not only utilize, all of the data, tons of data coming off the two bikes, every race weekend, to improve performance, but you're also wanting to use that speed, which is the new scale as George Curion said this morning, to even improve the consumer experience, and talk to us about Ducati's partnership with NetAPP. >> So we start to work with NetAPP about two years ago, more over, and in these, nowadays, every people around us talk about job thinking, extreme improvement, extreme increase of customer experience so in this world this will be Ducatis very excited challenge and this challenge requires us to respond with the best technology. The best technology that help us to collect the best information from our motorbikes, from our racing teams that we know how to collect the data, how to transformate this data into usable information, and how to generate the opportunity to have data sensors that we can transform in in information but also in knowledge that we hear before, and put all this information inside our fabric, and inside our shop floor, inside our R and D department, in order to be able to extremely increase the experience of our customers. >> I love that we get to work with one of the most innovative companies in the entire world of Motorsports, and I think really from the inception of Ducati, you guys have been really focused on how do you keep innovating through technology, and we talk about transforming the world of racing with data and how are we doing that together, so together with Ducati and NetAPP, how do we help enable them to have the best motors in the whole world, we're really excited! >> Jean, it's a great discussion, we've loved watching from just talking about the storage industry to where we're talking about data, and transformations so maybe explain to our audience that maybe not understand, you know, what's different about the industry today, and what's enabling this, NetAPP to be able to work with companies like Ducati, to help them through these transformations today, that they might not have been able to do a few years ago. >> Absolutely, I think there's just more and more data that we're finding every day, whether it's Ducati, Motorsports, if it happens to be in health care, and thinking about the millions and billions of genomes types of research that they're doing. We know even from banking how they're trying to connect the dots across an entire customer experience. Sure they're using technology like storage, absolutely, they're thinking about computers, they're thinking more and more though about services, and the cloud, APIs, how are they going to gain all this innovation through AI, analytics, but it's about making the customer experience better. What I love about the partnership we have with Ducati is it's not just about the bikes themselves, it's about the community that they have and that they're building and that community is yes, based on data from the bike, it's about the data coming from the riders, and it's about the data they collect so they all become a stronger community as a whole. >> Yeah, Konstantin maybe explain a little bit more to your audience the role of data as Ducati see's it, and how that drives innovation in your company. >> In the world like motorbike racing team, where every millisecond counts and the difference, in how we can collect in, very quickly mode the data, and to transform the information becomes determinate if you win or not because as you know, in Qatar we win with 29 milliseconds, and this is the work that we've done, days before, analyzing data, and set up the motorcycle, in the best way, because for us, the collaboration with NetAPP is not only storage, and is not only data, but is data management, and extremely short time to respond to our business requests and work to transform the paradigm of time, and money the paradigm of data and information, and we talk about performance with our line of business, not from the technical point of view but from the extremely business oriented, the customer oriented point of view, and we collect the data from the more than 60 sensors, from the racing motorbikes and transform it with artificial intelligence and deep machine learning, in vector sensors that give us information that we cannot reach from the normal road bikes, and this improves extremely our competitiveness, and we are able to give this, experience to our riders that becomes our families, because a good thing, a good product to all our customers, and with attention of environment in the behavior of the riders we would think that the good people in the good universe act in a good way. >> And we're happy to be part of that too. >> Before we get into that, the consumer side, so your riders, Andrea Dovizioso, and Jorge Lorenzo, how has their performance improved because you're able to take data, gigs per quali day, race day, analyze it in real time, how has their performance improved as a result of your NetAPP partnership? >> As you know, the racing motorbike is not able to stop in real time during the race, not like in Formula One so you need to use the best technology to connect the bikes to our minidata center inside the box during the race. Make our strategy to set up the bike as better as we can, and the speed which we can reach the, and collect the data, put it in the telemetry software, calibrate it, make the strategy decision is very very important. And with the HCI technology we can do it. >> How are you taking the transformation that you're making on the racing side and applying it to the consumer side so that, as I think I heard on the video, Ducati wants to deliver the bike that a guy or gal rides on a Sunday by Monday, that speed, speed is the new scale as George Curion mentioned this morning, how is the consumer side of Ducati Motorsport being influenced positively to enable those consumers to have exactly what they want? >> If you see our new creation, the Dopra, the Panigale V4, this is the right example how we transform racing motorbikes to the road bikes, and we give to our customers this kind of experience because all information we manage during the Sunday we are able to put in on Monday and sell the bike that have the same performance, safety, and pleasure of riding for the final customers and we have a racing that we bring to everydays motorbike, so when you buy a bike we give you experience that before you're riding, during the riding, and after your riding when you are at your home, with our uplink connection, we use the NetAPP technology to give the best experience of connected bikes. >> So when you think about customers, especially our partnership with Ducati, in order to be customer centric, or rider centric, we really have to be data driven, and so as we think about what are all the connections and the dots of data that happen, whether it's on the bike, the rider, the community itself, how does that bike that's driven or ridden on a Sunday, how is then really performed and given to customer that next day, it's all about the data. >> I'm curious, cause how have you been able to improve that speed of scale meta HCI as part of your data driven foundation, what's kind of a before and after, are you able to deliver bikes faster? Have you transformed the customer experience like Jean was saying? >> So before NetAPP, our production plan is more difficult to be connected to all other line of business and we are not able to collect the information from our final user, our customer. And give this information to our R and D department or the shop floor, in order to be able to transform in real time our production process, and to give the best experience for everyday bikers. >> So significant business impact? >> Exactly, and with our connected bike, this has become a reality. >> Jean, just want to bring it back to NetAPP for a minute here you've been on board for about two years, George Curion talked about the transformation that NetAPP is going through itself, can you speak a little bit to the culture, you know I think back for years and NetAPP has been known for one of the top places to work, it's talking about that transformation, what can you say about what's happening inside NetAPP? >> Sure, so I think the transformation has gone through a couple of different cycles. I mean one was really around the operational efficiency we needed to be as a company to really be focused on what were the customers caring about? What were the technologies and innovations that we needed to shift to that mattered to the customer? Cloud being one of those, whether it was a private cloud, or a public cloud, we also started to think through, is the right leadership that we needed to have in the company to start making those shifts? A big part of it is the culture though and that culture is ground up, it definitely starts across the leadership team we have today, but it is infused across all of NetAPP. It is one of the reason why I joined the company, when I first started interviewing with George, he wanted me to come help him write the new story, but so much a part of a story of a company is the people themselves, and so if you think about any kind of transformation, it is definitely strategy, it's technology, it's around what you do from processes, but culture and people are the biggest part of that, and we think of the brand inside of NetAPP, the people are the biggest part of it. And who we are and what we stand for, really always leaning in to the latest technology, because it's what customers care about, if I think about the history over the last 10 to 15 years, what could have broken NetAPP, moving from Linux to Windows, moving in to virtualization, now with the cloud, we've always leaned in, because we want to care about what the customer cares about. And that's every single person inside of NetAPP that makes that happen. So I love being at NetAPP and it's an exciting place to be! >> Cultural transformation is hard to do, it's essential for IT transformation, digital transformation, security transformation, I'm curious Jean, NetAPP has such a big install base of a lot of enterprise incumbents that weren't born in digital of course you've got some amazing customers like Ducati, talk to us about how your customers, you mentioned NetAPP is good at leaning in, how do you leverage that voice of the customer to help the sustain the cultural transformation you need to really put cloud at the heart of your strategy? >> Absolutely, even with the example of Dreamworks, we just started working with Dreamworks as one of our partners to start co-engineering with them, to help them on their own transformation. And so that's taking right from the customer, what are their requirements, how are they going to take this cutting edge digital content, and then be able to make it into beautiful, engaging films that we all know and love, How To Train Your Dragon's coming out very soon and we're excited about seeing it, but those kind of partnerships really matter, and how people are leaning in to the cloud, and how they're leaning in to hypercloud, multicloud, we want to hear what our customers need and work with them to be able to really build out that technology and innovation for the future. >> Konstantin, last question for you, what are you, I know you had a session yesterday, what are you excited to hear about from you partner NetAPP at the event this week? >> I'm excited to hear about the people, it's a very put attention of the details, of what the NetAPP mean regarding the data management. And the data driven company, what is the real time feedback to the customers, and improvement of the customer experience, and one of the things that I like is the simplicity to use the NetAPP technology that give us the speed of reaction, and transform the information into knowledge, and how can I say in experience to know how to do the things >> Well Konstantin, Jean, thank you so much for stopping by and giving us a really cool, sexy example of how NetAPP is helping a company like Ducati really revolutionize the racing side and the consumer side of the businesses. And we want to encourage you to go to NetAPP.com search Ducati and you will find a very cool video, on how these two companies are working together. For Stu Miniman, I'm Lisa Martin, you're watching the Cube live, all day from NetAPP Insight 2018, Stu and I will be right back with our next guest. (techno music)

>> Announcer: Live from Las Vegas, it's The Cube, covering AWS re:Invent 2017, presented by AWS, Intel, and our ecosystem of partners. >> And we're back, here on the show floor in the exhibit hall at Sands Expo, live at re:Invent for AWS along with Justin Warren. I'm John Walls. We're joined by a couple of executives now from Weka IO, to my immediate right is Liran Zvibel, who is the co-founder and CEO and then Maor Ben Dayan who's the chief architect at IO. Gentleman thanks for being with us. >> Thanks for having us. >> Appreciate you being here on theCube. First off tell the viewers a little bit about your company and I think a little about the unusual origination of the name. You were sharing that with me as well. So let's start with that, and then tell us a little bit more about what you do. >> Alright, so the name is Weka IO. Weka is actually a greek unit, like mega and terra and peta so it's actually a trillion exobytes, ten to the power of thirty, it's a huge capacity, so it works well for a storage company. Hopefully we will end up storing wekabytes. It will take some time. >> I think a little bit of time to get there. >> A little bit. >> We're working on it. >> One customer at a time. >> Give a little more about what you do, in terms of your relationship with AWS. >> Okay, so at Weka IO we create the highest performance file system, either on prem or in the cloud. So we have a parallel file system over NVME. Like no previous generation file system did parallel work over hard drives. But these are 20 years old technology. We're the first file system to bring new paralleled rhythms to NVME so we get you lowest latency, highest throughput either on prem or in the cloud. We are perfect for machine learning and life sciences applications. Also you've mentioned media and entertainment earlier. We can run on your hardware on prem, we can run on our instances, I3 instances, in AWS and we can also take snapshots that are native performance so they don't take away performance and we also have the ability to take these snapshots and push them to S3 based object storage. This allows you to have DR or backup functionality if you look on prem but if your object storage is actually AWSS3, it also lets you do cloud bursting, so it can take your on prem cluster, connect it to AWSS3, take a snapshot, push it to AS3 and now if you have a huge amount of computation that you need to do, your local GPU servers don't have enough capacity or you just want to get the results faster, you would build a big enough cluster on AWS, get the results and bring them back. >> You were explaining before that it's a big challenge to be able to do something that can do both low latency with millions and millions of small files but also be able to do high throughput for some large files, like media and entertainment tends to be very few but very, very large files with something like genomics research, you'll have millions and millions of files but they're all quite tiny. That's quite hard, but you were saying it's actually easier to do the high throughput than it is for low latency, maybe explain some of that. >> You want to take it? >> Sure, on the one hand, streaming lots of data is easy when you distribute the data over many servers or instances in the AWS like luster dust or other solutions, but then doing small files becomes really hard. Now this is where Weka innovated and really solved this bottleneck so it really frees you to do whatever you want with the storage system without hitting any bottlenecks. This is the secret sauce of Weka. >> Right and you were mentioning before, it's a file system so it's an NFS and SMB access to this data but you're also saying that you can export to S3. >> Actually we have NFS, we have SMB, but we also have native posits so any application that you could up until now only run on the local file system such as EXT4 or ZFS, you can actually run in assured manner. Anything that's written on the many pages we do, so adjust works, locking, everything. That's one thing we're showing for life sciences, genomic workflows that we can scale their workflows without losing any performance, so if one server doing one kind of transformation takes time x, if you use 10 servers, it will take 10x the time to get 10x the results. If you have 100 servers, it's gonna take 100x servers to get 100x the results, what customers see with other storage solutions, either on prem or in the cloud, that they're adding servers but they're getting way less results. We're giving the customers five to 20 times more results than what they did on what they thought were high performance file systems prior to the Weka IO solution. >> Can you give me a real life example of this, when you talk about life sciences, you talk about genomic research and we talk about the itty bitty files and millions of samples and whatever, but exactly whatever, translate it for me, when it comes down to a real job task, a real chore, what exactly are you bringing to the table that will enable whatever research is being done or whatever examination's being done. >> I'll give you a general example, not out of specifically of life sciences, we were doing a POC at a very large customer last week and we were compared head to head with best of breed, all flash file system, they did a simple test. They created a large file system on both storage solutions filled with many many millions of small files, maybe even billions of small files and they wanted to go through all the files, they just ran the find command, so the leading competitor finished the work in six and a half hours. We finished the same work in just under two hours. More than 3x time difference compared to a solution that is currently considered probably the fastest. >> Gold standard allegedly, right? Allegedly. >> It's a big difference. During the same comparison, that customer just did an ALS of a directory with a million files that other leading solution took 55 seconds and it took just under 10 seconds for us. >> We just get you the results faster, meaning your compute remains occupied and working. If you're working with let's say GPU servers that are costly, but usually they are just idling around, waiting for the data to come to them. We just unstarve these GPU servers and let's you get what you paid for. >> And particularly with something like the elasticity of AWS, if it takes me only two hours instead of six, that's gonna save me a lot of money because I don't have to pay for that extra six hours. >> It does and if you look at the price of the P3 instances, for reason those voltage GPUs aren't inexpensive, any second they're not idling around is a second you saved and you're actually saving a lot of money, so we're showing customers that by deploying Weka IO on AWS and on premises, they're actually saving a lot of money. >> Explain some more about how you're able to bridge between both on premises and the cloud workloads, because I think you mentioned before that you would actually snapshot and then you could send the data as a cloud bursting capability. Is that the primary use case you see customers using or is it another way of getting your data from your side into the cloud? >> Actually we have a slightly more complex feature, it's called tiering through the object storage. Now customers have humongous name spaces, hundreds of petabytes some of them and it doesn't make sense to keep them all on NVME flash, it's too expensive so a big feature that we have is that we let you tier between your flash and object storage and let's you manage economics and actually we're chopping down large files and doing it to many objects, similarly to how a traditional file system treat hard drives so we treat NVMEs in a parallel fashion, that's world first but we also do all the tricks that a traditional parallel file system do to get good performance out of hard drives to the object storage. Now we take that tiering functionality and we couple it with our highest performance snapshotting abilities so you can take the snapshot and just push it completely into the object storage in a way that you don't require the original cluster anymore >> So you've mentioned a few of the areas that you're expertise now and certainly where you're working, what are some other verticals that you're looking at? What are some other areas where you think that you can bring what you're doing for maybe in the life science space and provide equal if not superior value? >> Currently. >> Like where are you going? >> Currently we focus on GPU based execution because that's where we save the most money to the customers, we give the biggest bang for the buck. Also genomics because they have severe performance problems around building, we've shown a huge semiconductor company that was trying to build and read, they were forced to building on local file system, it took them 35 minutes, they tried their fastest was actually on RAM battery backed RAM based shared file system using NFS V4, it took them four hours. It was too long, you only got to compile the day. It doesn't make sense. We showed them that they can actually compile in 38 minutes, show assured file system that is fully coherent, consistent and protected only took 10% more time, but it didn't take 10% more time because what we enabled them to do is now share the build cache, so the next build coming in only took 10 minutes. A full build took slightly longer, but if you take the average now their build was 13 or 14 minutes, so we've actually showed that assured file system can save time. Other use cases are media and entertainment, for rendering use cases, you have these use cases, they parallelize amazingly well. You can have tons of render nodes rendering your scenes and the more rendering nodes you have, the quicker you can come up with your videos, with your movies or they look nicer. We enable our customers to scale their clusters to sizes they couldn't even imagine prior to us. >> It's impressive, really impressive, great work and thanks for sharing it with us here on theCube, first time for each right? You're now Cube alumni, congratulations. >> Okay, thanks for having us. >> Thank you for being with us here. Again, we're live here at re:Invent and back with more live coverage here on theCube right after this time out.