>>This past May, The Cube in collaboration with Influx data shared with you the latest innovations in Time series databases. We talked at length about why a purpose built time series database for many use cases, was a superior alternative to general purpose databases trying to do the same thing. Now, you may, you may remember the time series data is any data that's stamped in time, and if it's stamped, it can be analyzed historically. And when we introduced the concept to the community, we talked about how in theory, those time slices could be taken, you know, every hour, every minute, every second, you know, down to the millisecond and how the world was moving toward realtime or near realtime data analysis to support physical infrastructure like sensors and other devices and IOT equipment. A time series databases have had to evolve to efficiently support realtime data in emerging use cases in iot T and other use cases. >>And to do that, new architectural innovations have to be brought to bear. As is often the case, open source software is the linchpin to those innovations. Hello and welcome to Evolving Influx DB into the smart Data platform, made possible by influx data and produced by the Cube. My name is Dave Valante and I'll be your host today. Now in this program we're going to dig pretty deep into what's happening with Time series data generally, and specifically how Influx DB is evolving to support new workloads and demands and data, and specifically around data analytics use cases in real time. Now, first we're gonna hear from Brian Gilmore, who is the director of IOT and emerging technologies at Influx Data. And we're gonna talk about the continued evolution of Influx DB and the new capabilities enabled by open source generally and specific tools. And in this program you're gonna hear a lot about things like Rust, implementation of Apache Arrow, the use of par k and tooling such as data fusion, which powering a new engine for Influx db. >>Now, these innovations, they evolve the idea of time series analysis by dramatically increasing the granularity of time series data by compressing the historical time slices, if you will, from, for example, minutes down to milliseconds. And at the same time, enabling real time analytics with an architecture that can process data much faster and much more efficiently. Now, after Brian, we're gonna hear from Anna East Dos Georgio, who is a developer advocate at In Flux Data. And we're gonna get into the why of these open source capabilities and how they contribute to the evolution of the Influx DB platform. And then we're gonna close the program with Tim Yokum, he's the director of engineering at Influx Data, and he's gonna explain how the Influx DB community actually evolved the data engine in mid-flight and which decisions went into the innovations that are coming to the market. Thank you for being here. We hope you enjoy the program. Let's get started. Okay, we're kicking things off with Brian Gilmore. He's the director of i t and emerging Technology at Influx State of Bryan. Welcome to the program. Thanks for coming on. >>Thanks Dave. Great to be here. I appreciate the time. >>Hey, explain why Influx db, you know, needs a new engine. Was there something wrong with the current engine? What's going on there? >>No, no, not at all. I mean, I think it's, for us, it's been about staying ahead of the market. I think, you know, if we think about what our customers are coming to us sort of with now, you know, related to requests like sql, you know, query support, things like that, we have to figure out a way to, to execute those for them in a way that will scale long term. And then we also, we wanna make sure we're innovating, we're sort of staying ahead of the market as well and sort of anticipating those future needs. So, you know, this is really a, a transparent change for our customers. I mean, I think we'll be adding new capabilities over time that sort of leverage this new engine, but you know, initially the customers who are using us are gonna see just great improvements in performance, you know, especially those that are working at the top end of the, of the workload scale, you know, the massive data volumes and things like that. >>Yeah, and we're gonna get into that today and the architecture and the like, but what was the catalyst for the enhancements? I mean, when and how did this all come about? >>Well, I mean, like three years ago we were primarily on premises, right? I mean, I think we had our open source, we had an enterprise product, you know, and, and sort of shifting that technology, especially the open source code base to a service basis where we were hosting it through, you know, multiple cloud providers. That was, that was, that was a long journey I guess, you know, phase one was, you know, we wanted to host enterprise for our customers, so we sort of created a service that we just managed and ran our enterprise product for them. You know, phase two of this cloud effort was to, to optimize for like multi-tenant, multi-cloud, be able to, to host it in a truly like sass manner where we could use, you know, some type of customer activity or consumption as the, the pricing vector, you know, And, and that was sort of the birth of the, of the real first influx DB cloud, you know, which has been really successful. >>We've seen, I think like 60,000 people sign up and we've got tons and tons of, of both enterprises as well as like new companies, developers, and of course a lot of home hobbyists and enthusiasts who are using out on a, on a daily basis, you know, and having that sort of big pool of, of very diverse and very customers to chat with as they're using the product, as they're giving us feedback, et cetera, has has, you know, pointed us in a really good direction in terms of making sure we're continuously improving that and then also making these big leaps as we're doing with this, with this new engine. >>Right. So you've called it a transparent change for customers, so I'm presuming it's non-disruptive, but I really wanna understand how much of a pivot this is and what, what does it take to make that shift from, you know, time series, you know, specialist to real time analytics and being able to support both? >>Yeah, I mean, it's much more of an evolution, I think, than like a shift or a pivot. You know, time series data is always gonna be fundamental and sort of the basis of the solutions that we offer our customers, and then also the ones that they're building on the sort of raw APIs of our platform themselves. You know, the time series market is one that we've worked diligently to lead. I mean, I think when it comes to like metrics, especially like sensor data and app and infrastructure metrics, if we're being honest though, I think our, our user base is well aware that the way we were architected was much more towards those sort of like backwards looking historical type analytics, which are key for troubleshooting and making sure you don't, you know, run into the same problem twice. But, you know, we had to ask ourselves like, what can we do to like better handle those queries from a performance and a, and a, you know, a time to response on the queries, and can we get that to the point where the results sets are coming back so quickly from the time of query that we can like limit that window down to minutes and then seconds. >>And now with this new engine, we're really starting to talk about a query window that could be like returning results in, in, you know, milliseconds of time since it hit the, the, the ingest queue. And that's, that's really getting to the point where as your data is available, you can use it and you can query it, you can visualize it, and you can do all those sort of magical things with it, you know? And I think getting all of that to a place where we're saying like, yes to the customer on, you know, all of the, the real time queries, the, the multiple language query support, but, you know, it was hard, but we're now at a spot where we can start introducing that to, you know, a a limited number of customers, strategic customers and strategic availability zones to start. But you know, everybody over time. >>So you're basically going from what happened to in, you can still do that obviously, but to what's happening now in the moment? >>Yeah, yeah. I mean if you think about time, it's always sort of past, right? I mean, like in the moment right now, whether you're talking about like a millisecond ago or a minute ago, you know, that's, that's pretty much right now, I think for most people, especially in these use cases where you have other sort of components of latency induced by the, by the underlying data collection, the architecture, the infrastructure, the, you know, the, the devices and you know, the sort of highly distributed nature of all of this. So yeah, I mean, getting, getting a customer or a user to be able to use the data as soon as it is available is what we're after here. >>I always thought, you know, real, I always thought of real time as before you lose the customer, but now in this context, maybe it's before the machine blows up. >>Yeah, it's, it's, I mean it is operationally or operational real time is different, you know, and that's one of the things that really triggered us to know that we were, we were heading in the right direction, is just how many sort of operational customers we have. You know, everything from like aerospace and defense. We've got companies monitoring satellites, we've got tons of industrial users, users using us as a processes storing on the plant floor, you know, and, and if we can satisfy their sort of demands for like real time historical perspective, that's awesome. I think what we're gonna do here is we're gonna start to like edge into the real time that they're used to in terms of, you know, the millisecond response times that they expect of their control systems, certainly not their, their historians and databases. >>I, is this available, these innovations to influx DB cloud customers only who can access this capability? >>Yeah. I mean commercially and today, yes. You know, I think we want to emphasize that's a, for now our goal is to get our latest and greatest and our best to everybody over time. Of course. You know, one of the things we had to do here was like we double down on sort of our, our commitment to open source and availability. So like anybody today can take a look at the, the libraries in on our GitHub and, you know, can ex inspect it and even can try to, you know, implement or execute some of it themselves in their own infrastructure. You know, we are, we're committed to bringing our sort of latest and greatest to our cloud customers first for a couple of reasons. Number one, you know, there are big workloads and they have high expectations of us. I think number two, it also gives us the opportunity to monitor a little bit more closely how it's working, how they're using it, like how the system itself is performing. >>And so just, you know, being careful, maybe a little cautious in terms of, of, of how big we go with this right away, just sort of both limits, you know, the risk of, of, you know, any issues that can come with new software rollouts. We haven't seen anything so far, but also it does give us the opportunity to have like meaningful conversations with a small group of users who are using the products, but once we get through that and they give us two thumbs up on it, it'll be like, open the gates and let everybody in. It's gonna be exciting time for the whole ecosystem. >>Yeah, that makes a lot of sense. And you can do some experimentation and, you know, using the cloud resources. Let's dig into some of the architectural and technical innovations that are gonna help deliver on this vision. What, what should we know there? >>Well, I mean, I think foundationally we built the, the new core on Rust. You know, this is a new very sort of popular systems language, you know, it's extremely efficient, but it's also built for speed and memory safety, which goes back to that us being able to like deliver it in a way that is, you know, something we can inspect very closely, but then also rely on the fact that it's going to behave well. And if it does find error conditions, I mean we, we've loved working with Go and, you know, a lot of our libraries will continue to, to be sort of implemented in Go, but you know, when it came to this particular new engine, you know, that power performance and stability rust was critical. On top of that, like, we've also integrated Apache Arrow and Apache Parque for persistence. I think for anybody who's really familiar with the nuts and bolts of our backend and our TSI and our, our time series merged Trees, this is a big break from that, you know, arrow on the sort of in MI side and then Par K in the on disk side. >>It, it allows us to, to present, you know, a unified set of APIs for those really fast real time inquiries that we talked about, as well as for very large, you know, historical sort of bulk data archives in that PARQUE format, which is also cool because there's an entire ecosystem sort of popping up around Parque in terms of the machine learning community, you know, and getting that all to work, we had to glue it together with aero flight. That's sort of what we're using as our, our RPC component. You know, it handles the orchestration and the, the transportation of the Coer data. Now we're moving to like a true Coer database model for this, this version of the engine, you know, and it removes a lot of overhead for us in terms of having to manage all that serialization, the deserialization, and, you know, to that again, like blurring that line between real time and historical data. It's, you know, it's, it's highly optimized for both streaming micro batch and then batches, but true streaming as well. >>Yeah. Again, I mean, it's funny you mentioned Rust. It is, it's been around for a long time, but it's popularity is, is you know, really starting to hit that steep part of the S-curve. And, and we're gonna dig into to more of that, but give us any, is there anything else that we should know about Bryan? Give us the last word? >>Well, I mean, I think first I'd like everybody sort of watching just to like take a look at what we're offering in terms of early access in beta programs. I mean, if, if, if you wanna participate or if you wanna work sort of in terms of early access with the, with the new engine, please reach out to the team. I'm sure you know, there's a lot of communications going out and you know, it'll be highly featured on our, our website, you know, but reach out to the team, believe it or not, like we have a lot more going on than just the new engine. And so there are also other programs, things we're, we're offering to customers in terms of the user interface, data collection and things like that. And, you know, if you're a customer of ours and you have a sales team, a commercial team that you work with, you can reach out to them and see what you can get access to because we can flip a lot of stuff on, especially in cloud through feature flags. >>But if there's something new that you wanna try out, we'd just love to hear from you. And then, you know, our goal would be that as we give you access to all of these new cool features that, you know, you would give us continuous feedback on these products and services, not only like what you need today, but then what you'll need tomorrow to, to sort of build the next versions of your business. Because you know, the whole database, the ecosystem as it expands out into to, you know, this vertically oriented stack of cloud services and enterprise databases and edge databases, you know, it's gonna be what we all make it together, not just, you know, those of us who were employed by Influx db. And then finally I would just say please, like watch in ICE in Tim's sessions, like these are two of our best and brightest, They're totally brilliant, completely pragmatic, and they are most of all customer obsessed, which is amazing. And there's no better takes, like honestly on the, the sort of technical details of this, then there's, especially when it comes to like the value that these investments will, will bring to our customers and our communities. So encourage you to, to, you know, pay more attention to them than you did to me, for sure. >>Brian Gilmore, great stuff. Really appreciate your time. Thank you. >>Yeah, thanks Dave. It was awesome. Look forward to it. >>Yeah, me too. Looking forward to see how the, the community actually applies these new innovations and goes, goes beyond just the historical into the real time really hot area. As Brian said in a moment, I'll be right back with Anna East dos Georgio to dig into the critical aspects of key open source components of the Influx DB engine, including Rust, Arrow, Parque, data fusion. Keep it right there. You don't wanna miss this >>Time series Data is everywhere. The number of sensors, systems and applications generating time series data increases every day. All these data sources producing so much data can cause analysis paralysis. Influx DB is an entire platform designed with everything you need to quickly build applications that generate value from time series data influx. DB Cloud is a serverless solution, which means you don't need to buy or manage your own servers. There's no need to worry about provisioning because you only pay for what you use. Influx DB Cloud is fully managed so you get the newest features and enhancements as they're added to the platform's code base. It also means you can spend time building solutions and delivering value to your users instead of wasting time and effort managing something else. Influx TVB Cloud offers a range of security features to protect your data, multiple layers of redundancy ensure you don't lose any data access controls ensure that only the people who should see your data can see it. >>And encryption protects your data at rest and in transit between any of our regions or cloud providers. InfluxDB uses a single API across the entire platform suite so you can build on open source, deploy to the cloud and then then easily query data in the cloud at the edge or on prem using the same scripts. And InfluxDB is schemaless automatically adjusting to changes in the shape of your data without requiring changes in your application. Logic. InfluxDB Cloud is production ready from day one. All it needs is your data and your imagination. Get started today@influxdata.com slash cloud. >>Okay, we're back. I'm Dave Valante with a Cube and you're watching evolving Influx DB into the smart data platform made possible by influx data. Anna ETOs Georgio is here, she's a developer advocate for influx data and we're gonna dig into the rationale and value contribution behind several open source technologies that Influx DB is leveraging to increase the granularity of time series analysis analysis and bring the world of data into real-time analytics and is welcome to the program. Thanks for coming on. >>Hi, thank you so much. It's a pleasure to be here. >>Oh, you're very welcome. Okay, so IX is being touted as this next gen open source core for Influx db. And my understanding is that it leverages in memory of course for speed. It's a kilo store, so it gives you a compression efficiency, it's gonna give you faster query speeds, you store files and object storage, so you got very cost effective approach. Are these the salient points on the platform? I know there are probably dozens of other features, but what are the high level value points that people should understand? >>Sure, that's a great question. So some of the main requirements that IOx is trying to achieve and some of the most impressive ones to me, the first one is that it aims to have no limits on cardinality and also allow you to write any kind of event data that you want, whether that's live tag or a field. It also wants to deliver the best in class performance on analytics queries. In addition to our already well served metrics queries, we also wanna have operator control over memory usage. So you should be able to define how much memory is used for buffering caching and query processing. Some other really important parts is the ability to have bulk data export and import super useful. Also broader ecosystem compatibility where possible we aim to use and embrace emerging standards in the data analytics ecosystem and have compatibility with things like sql, Python, and maybe even pandas in the future. >>Okay, so lot there. Now we talked to Brian about how you're using Rust and which is not a new programming language and of course we had some drama around Rust during the pandemic with the Mozilla layoffs, but the formation of the Rust Foundation really addressed any of those concerns. You got big guns like Amazon and Google and Microsoft throwing their collective weights behind it. It's really, the adoption is really starting to get steep on the S-curve. So lots of platforms, lots of adoption with rust, but why rust as an alternative to say c plus plus for example? >>Sure, that's a great question. So Russ was chosen because of his exceptional performance and reliability. So while Russ is synt tactically similar to c plus plus and it has similar performance, it also compiles to a native code like c plus plus. But unlike c plus plus, it also has much better memory safety. So memory safety is protection against bugs or security vulnerabilities that lead to excessive memory usage or memory leaks. And rust achieves this memory safety due to its like innovative type system. Additionally, it doesn't allow for dangling pointers. And dangling pointers are the main classes of errors that lead to exploitable security vulnerabilities in languages like c plus plus. So Russ like helps meet that requirement of having no limits on ality, for example, because it's, we're also using the Russ implementation of Apache Arrow and this control over memory and also Russ Russ's packaging system called crates IO offers everything that you need out of the box to have features like AY and a weight to fix race conditions, to protection against buffering overflows and to ensure thread safe async cashing structures as well. So essentially it's just like has all the control, all the fine grain control, you need to take advantage of memory and all your resources as well as possible so that you can handle those really, really high ity use cases. >>Yeah, and the more I learn about the, the new engine and, and the platform IOCs et cetera, you know, you, you see things like, you know, the old days not even to even today you do a lot of garbage collection in these, in these systems and there's an inverse, you know, impact relative to performance. So it looks like you really, you know, the community is modernizing the platform, but I wanna talk about Apache Arrow for a moment. It it's designed to address the constraints that are associated with analyzing large data sets. We, we know that, but please explain why, what, what is Arrow and and what does it bring to Influx db? >>Sure, yeah. So Arrow is a, a framework for defining in memory calmer data. And so much of the efficiency and performance of IOx comes from taking advantage of calmer data structures. And I will, if you don't mind, take a moment to kind of of illustrate why column or data structures are so valuable. Let's pretend that we are gathering field data about the temperature in our room and also maybe the temperature of our stove. And in our table we have those two temperature values as well as maybe a measurement value, timestamp value, maybe some other tag values that describe what room and what house, et cetera we're getting this data from. And so you can picture this table where we have like two rows with the two temperature values for both our room and the stove. Well usually our room temperature is regulated so those values don't change very often. >>So when you have calm oriented st calm oriented storage, essentially you take each row, each column and group it together. And so if that's the case and you're just taking temperature values from the room and a lot of those temperature values are the same, then you'll, you might be able to imagine how equal values will then enable each other and when they neighbor each other in the storage format, this provides a really perfect opportunity for cheap compression. And then this cheap compression enables high cardinality use cases. It also enables for faster scan rates. So if you wanna define like the men and max value of the temperature in the room across a thousand different points, you only have to get those a thousand different points in order to answer that question and you have those immediately available to you. But let's contrast this with a row oriented storage solution instead so that we can understand better the benefits of calmer oriented storage. >>So if you had a row oriented storage, you'd first have to look at every field like the temperature in, in the room and the temperature of the stove. You'd have to go across every tag value that maybe describes where the room is located or what model the stove is. And every timestamp you'd then have to pluck out that one temperature value that you want at that one time stamp and do that for every single row. So you're scanning across a ton more data and that's why Rowe Oriented doesn't provide the same efficiency as calmer and Apache Arrow is in memory calmer data, commoner data fit framework. So that's where a lot of the advantages come >>From. Okay. So you basically described like a traditional database, a row approach, but I've seen like a lot of traditional database say, okay, now we've got, we can handle colo format versus what you're talking about is really, you know, kind of native i, is it not as effective? Is the, is the foreman not as effective because it's largely a, a bolt on? Can you, can you like elucidate on that front? >>Yeah, it's, it's not as effective because you have more expensive compression and because you can't scan across the values as quickly. And so those are, that's pretty much the main reasons why, why RO row oriented storage isn't as efficient as calm, calmer oriented storage. Yeah. >>Got it. So let's talk about Arrow Data Fusion. What is data fusion? I know it's written in Rust, but what does it bring to the table here? >>Sure. So it's an extensible query execution framework and it uses Arrow as it's in memory format. So the way that it helps in influx DB IOCs is that okay, it's great if you can write unlimited amount of cardinality into influx Cbis, but if you don't have a query engine that can successfully query that data, then I don't know how much value it is for you. So Data fusion helps enable the, the query process and transformation of that data. It also has a PANDAS API so that you could take advantage of PANDAS data frames as well and all of the machine learning tools associated with Pandas. >>Okay. You're also leveraging Par K in the platform cause we heard a lot about Par K in the middle of the last decade cuz as a storage format to improve on Hadoop column stores. What are you doing with Parque and why is it important? >>Sure. So parque is the column oriented durable file format. So it's important because it'll enable bulk import, bulk export, it has compatibility with Python and Pandas, so it supports a broader ecosystem. Par K files also take very little disc disc space and they're faster to scan because again, they're column oriented in particular, I think PAR K files are like 16 times cheaper than CSV files, just as kind of a point of reference. And so that's essentially a lot of the, the benefits of par k. >>Got it. Very popular. So and he's, what exactly is influx data focusing on as a committer to these projects? What is your focus? What's the value that you're bringing to the community? >>Sure. So Influx DB first has contributed a lot of different, different things to the Apache ecosystem. For example, they contribute an implementation of Apache Arrow and go and that will support clearing with flux. Also, there has been a quite a few contributions to data fusion for things like memory optimization and supportive additional SQL features like support for timestamp, arithmetic and support for exist clauses and support for memory control. So yeah, Influx has contributed a a lot to the Apache ecosystem and continues to do so. And I think kind of the idea here is that if you can improve these upstream projects and then the long term strategy here is that the more you contribute and build those up, then the more you will perpetuate that cycle of improvement and the more we will invest in our own project as well. So it's just that kind of symbiotic relationship and appreciation of the open source community. >>Yeah. Got it. You got that virtuous cycle going, the people call the flywheel. Give us your last thoughts and kind of summarize, you know, where what, what the big takeaways are from your perspective. >>So I think the big takeaway is that influx data is doing a lot of really exciting things with Influx DB IOx and I really encourage, if you are interested in learning more about the technologies that Influx is leveraging to produce IOCs, the challenges associated with it and all of the hard work questions and you just wanna learn more, then I would encourage you to go to the monthly Tech talks and community office hours and they are on every second Wednesday of the month at 8:30 AM Pacific time. There's also a community forums and a community Slack channel look for the influx DDB unders IAC channel specifically to learn more about how to join those office hours and those monthly tech tech talks as well as ask any questions they have about iacs, what to expect and what you'd like to learn more about. I as a developer advocate, I wanna answer your questions. So if there's a particular technology or stack that you wanna dive deeper into and want more explanation about how INFLUX DB leverages it to build IOCs, I will be really excited to produce content on that topic for you. >>Yeah, that's awesome. You guys have a really rich community, collaborate with your peers, solve problems, and, and you guys super responsive, so really appreciate that. All right, thank you so much Anise for explaining all this open source stuff to the audience and why it's important to the future of data. >>Thank you. I really appreciate it. >>All right, you're very welcome. Okay, stay right there and in a moment I'll be back with Tim Yoakum, he's the director of engineering for Influx Data and we're gonna talk about how you update a SAS engine while the plane is flying at 30,000 feet. You don't wanna miss this. >>I'm really glad that we went with InfluxDB Cloud for our hosting because it has saved us a ton of time. It's helped us move faster, it's saved us money. And also InfluxDB has good support. My name's Alex Nada. I am CTO at Noble nine. Noble Nine is a platform to measure and manage service level objectives, which is a great way of measuring the reliability of your systems. You can essentially think of an slo, the product we're providing to our customers as a bunch of time series. So we need a way to store that data and the corresponding time series that are related to those. The main reason that we settled on InfluxDB as we were shopping around is that InfluxDB has a very flexible query language and as a general purpose time series database, it basically had the set of features we were looking for. >>As our platform has grown, we found InfluxDB Cloud to be a really scalable solution. We can quickly iterate on new features and functionality because Influx Cloud is entirely managed, it probably saved us at least a full additional person on our team. We also have the option of running InfluxDB Enterprise, which gives us the ability to even host off the cloud or in a private cloud if that's preferred by a customer. Influx data has been really flexible in adapting to the hosting requirements that we have. They listened to the challenges we were facing and they helped us solve it. As we've continued to grow, I'm really happy we have influx data by our side. >>Okay, we're back with Tim Yokum, who is the director of engineering at Influx Data. Tim, welcome. Good to see you. >>Good to see you. Thanks for having me. >>You're really welcome. Listen, we've been covering open source software in the cube for more than a decade, and we've kind of watched the innovation from the big data ecosystem. The cloud has been being built out on open source, mobile, social platforms, key databases, and of course influx DB and influx data has been a big consumer and contributor of open source software. So my question to you is, where have you seen the biggest bang for the buck from open source software? >>So yeah, you know, influx really, we thrive at the intersection of commercial services and open, so open source software. So OSS keeps us on the cutting edge. We benefit from OSS in delivering our own service from our core storage engine technologies to web services temping engines. Our, our team stays lean and focused because we build on proven tools. We really build on the shoulders of giants and like you've mentioned, even better, we contribute a lot back to the projects that we use as well as our own product influx db. >>You know, but I gotta ask you, Tim, because one of the challenge that that we've seen in particular, you saw this in the heyday of Hadoop, the, the innovations come so fast and furious and as a software company you gotta place bets, you gotta, you know, commit people and sometimes those bets can be risky and not pay off well, how have you managed this challenge? >>Oh, it moves fast. Yeah, that, that's a benefit though because it, the community moves so quickly that today's hot technology can be tomorrow's dinosaur. And what we, what we tend to do is, is we fail fast and fail often. We try a lot of things. You know, you look at Kubernetes for example, that ecosystem is driven by thousands of intelligent developers, engineers, builders, they're adding value every day. So we have to really keep up with that. And as the stack changes, we, we try different technologies, we try different methods, and at the end of the day, we come up with a better platform as a result of just the constant change in the environment. It is a challenge for us, but it's, it's something that we just do every day. >>So we have a survey partner down in New York City called Enterprise Technology Research etr, and they do these quarterly surveys of about 1500 CIOs, IT practitioners, and they really have a good pulse on what's happening with spending. And the data shows that containers generally, but specifically Kubernetes is one of the areas that has kind of, it's been off the charts and seen the most significant adoption and velocity particularly, you know, along with cloud. But, but really Kubernetes is just, you know, still up until the right consistently even with, you know, the macro headwinds and all, all of the stuff that we're sick of talking about. But, so what are you doing with Kubernetes in the platform? >>Yeah, it, it's really central to our ability to run the product. When we first started out, we were just on AWS and, and the way we were running was, was a little bit like containers junior. Now we're running Kubernetes everywhere at aws, Azure, Google Cloud. It allows us to have a consistent experience across three different cloud providers and we can manage that in code so our developers can focus on delivering services, not trying to learn the intricacies of Amazon, Azure, and Google and figure out how to deliver services on those three clouds with all of their differences. >>Just to follow up on that, is it, no. So I presume it's sounds like there's a PAs layer there to allow you guys to have a consistent experience across clouds and out to the edge, you know, wherever is that, is that correct? >>Yeah, so we've basically built more or less platform engineering, This is the new hot phrase, you know, it, it's, Kubernetes has made a lot of things easy for us because we've built a platform that our developers can lean on and they only have to learn one way of deploying their application, managing their application. And so that, that just gets all of the underlying infrastructure out of the way and, and lets them focus on delivering influx cloud. >>Yeah, and I know I'm taking a little bit of a tangent, but is that, that, I'll call it a PAs layer if I can use that term. Is that, are there specific attributes to Influx db or is it kind of just generally off the shelf paths? You know, are there, is, is there any purpose built capability there that, that is, is value add or is it pretty much generic? >>So we really build, we, we look at things through, with a build versus buy through a, a build versus by lens. Some things we want to leverage cloud provider services, for instance, Postgres databases for metadata, perhaps we'll get that off of our plate, let someone else run that. We're going to deploy a platform that our engineers can, can deliver on that has consistency that is, is all generated from code that we can as a, as an SRE group, as an ops team, that we can manage with very few people really, and we can stamp out clusters across multiple regions and in no time. >>So how, so sometimes you build, sometimes you buy it. How do you make those decisions and and what does that mean for the, for the platform and for customers? >>Yeah, so what we're doing is, it's like everybody else will do, we're we're looking for trade offs that make sense. You know, we really want to protect our customers data. So we look for services that support our own software with the most uptime, reliability, and durability we can get. Some things are just going to be easier to have a cloud provider take care of on our behalf. We make that transparent for our own team. And of course for customers you don't even see that, but we don't want to try to reinvent the wheel, like I had mentioned with SQL data stores for metadata, perhaps let's build on top of what of these three large cloud providers have already perfected. And we can then focus on our platform engineering and we can have our developers then focus on the influx data, software, influx, cloud software. >>So take it to the customer level, what does it mean for them? What's the value that they're gonna get out of all these innovations that we've been been talking about today and what can they expect in the future? >>So first of all, people who use the OSS product are really gonna be at home on our cloud platform. You can run it on your desktop machine, on a single server, what have you, but then you want to scale up. We have some 270 terabytes of data across, over 4 billion series keys that people have stored. So there's a proven ability to scale now in terms of the open source, open source software and how we've developed the platform. You're getting highly available high cardinality time series platform. We manage it and, and really as, as I mentioned earlier, we can keep up with the state of the art. We keep reinventing, we keep deploying things in real time. We deploy to our platform every day repeatedly all the time. And it's that continuous deployment that allows us to continue testing things in flight, rolling things out that change new features, better ways of doing deployments, safer ways of doing deployments. >>All of that happens behind the scenes. And like we had mentioned earlier, Kubernetes, I mean that, that allows us to get that done. We couldn't do it without having that platform as a, as a base layer for us to then put our software on. So we, we iterate quickly. When you're on the, the Influx cloud platform, you really are able to, to take advantage of new features immediately. We roll things out every day and as those things go into production, you have, you have the ability to, to use them. And so in the end we want you to focus on getting actual insights from your data instead of running infrastructure, you know, let, let us do that for you. So, >>And that makes sense, but so is the, is the, are the innovations that we're talking about in the evolution of Influx db, do, do you see that as sort of a natural evolution for existing customers? I, is it, I'm sure the answer is both, but is it opening up new territory for customers? Can you add some color to that? >>Yeah, it really is it, it's a little bit of both. Any engineer will say, well, it depends. So cloud native technologies are, are really the hot thing. Iot, industrial iot especially, people want to just shove tons of data out there and be able to do queries immediately and they don't wanna manage infrastructure. What we've started to see are people that use the cloud service as their, their data store backbone and then they use edge computing with R OSS product to ingest data from say, multiple production lines and downsample that data, send the rest of that data off influx cloud where the heavy processing takes place. So really us being in all the different clouds and iterating on that and being in all sorts of different regions allows for people to really get out of the, the business of man trying to manage that big data, have us take care of that. And of course as we change the platform end users benefit from that immediately. And, >>And so obviously taking away a lot of the heavy lifting for the infrastructure, would you say the same thing about security, especially as you go out to IOT and the Edge? How should we be thinking about the value that you bring from a security perspective? >>Yeah, we take, we take security super seriously. It, it's built into our dna. We do a lot of work to ensure that our platform is secure, that the data we store is, is kept private. It's of course always a concern. You see in the news all the time, companies being compromised, you know, that's something that you can have an entire team working on, which we do to make sure that the data that you have, whether it's in transit, whether it's at rest, is always kept secure, is only viewable by you. You know, you look at things like software, bill of materials, if you're running this yourself, you have to go vet all sorts of different pieces of software. And we do that, you know, as we use new tools. That's something that, that's just part of our jobs to make sure that the platform that we're running it has, has fully vetted software and, and with open source especially, that's a lot of work. And so it's, it's definitely new territory. Supply chain attacks are, are definitely happening at a higher clip than they used to, but that is, that is really just part of a day in the, the life for folks like us that are, are building platforms. >>Yeah, and that's key. I mean especially when you start getting into the, the, you know, we talk about IOT and the operations technologies, the engineers running the, that infrastructure, you know, historically, as you know, Tim, they, they would air gap everything. That's how they kept it safe. But that's not feasible anymore. Everything's >>That >>Connected now, right? And so you've gotta have a partner that is again, take away that heavy lifting to r and d so you can focus on some of the other activities. Right. Give us the, the last word and the, the key takeaways from your perspective. >>Well, you know, from my perspective I see it as, as a a two lane approach with, with influx, with Anytime series data, you know, you've got a lot of stuff that you're gonna run on-prem, what you had mentioned, air gaping. Sure there's plenty of need for that, but at the end of the day, people that don't want to run big data centers, people that want torus their data to, to a company that's, that's got a full platform set up for them that they can build on, send that data over to the cloud, the cloud is not going away. I think more hybrid approach is, is where the future lives and that's what we're prepared for. >>Tim, really appreciate you coming to the program. Great stuff. Good to see you. >>Thanks very much. Appreciate it. >>Okay, in a moment I'll be back to wrap up. Today's session, you're watching The Cube. >>Are you looking for some help getting started with InfluxDB Telegraph or Flux Check >>Out Influx DB University >>Where you can find our entire catalog of free training that will help you make the most of your time series data >>Get >>Started for free@influxdbu.com. >>We'll see you in class. >>Okay, so we heard today from three experts on time series and data, how the Influx DB platform is evolving to support new ways of analyzing large data sets very efficiently and effectively in real time. And we learned that key open source components like Apache Arrow and the Rust Programming environment Data fusion par K are being leveraged to support realtime data analytics at scale. We also learned about the contributions in importance of open source software and how the Influx DB community is evolving the platform with minimal disruption to support new workloads, new use cases, and the future of realtime data analytics. Now remember these sessions, they're all available on demand. You can go to the cube.net to find those. Don't forget to check out silicon angle.com for all the news related to things enterprise and emerging tech. And you should also check out influx data.com. There you can learn about the company's products. You'll find developer resources like free courses. You could join the developer community and work with your peers to learn and solve problems. And there are plenty of other resources around use cases and customer stories on the website. This is Dave Valante. Thank you for watching Evolving Influx DB into the smart data platform, made possible by influx data and brought to you by the Cube, your leader in enterprise and emerging tech coverage.

>>This past May, The Cube in collaboration with Influx data shared with you the latest innovations in Time series databases. We talked at length about why a purpose built time series database for many use cases, was a superior alternative to general purpose databases trying to do the same thing. Now, you may, you may remember the time series data is any data that's stamped in time, and if it's stamped, it can be analyzed historically. And when we introduced the concept to the community, we talked about how in theory, those time slices could be taken, you know, every hour, every minute, every second, you know, down to the millisecond and how the world was moving toward realtime or near realtime data analysis to support physical infrastructure like sensors and other devices and IOT equipment. A time series databases have had to evolve to efficiently support realtime data in emerging use cases in iot T and other use cases. >>And to do that, new architectural innovations have to be brought to bear. As is often the case, open source software is the linchpin to those innovations. Hello and welcome to Evolving Influx DB into the smart Data platform, made possible by influx data and produced by the Cube. My name is Dave Valante and I'll be your host today. Now in this program we're going to dig pretty deep into what's happening with Time series data generally, and specifically how Influx DB is evolving to support new workloads and demands and data, and specifically around data analytics use cases in real time. Now, first we're gonna hear from Brian Gilmore, who is the director of IOT and emerging technologies at Influx Data. And we're gonna talk about the continued evolution of Influx DB and the new capabilities enabled by open source generally and specific tools. And in this program you're gonna hear a lot about things like Rust, implementation of Apache Arrow, the use of par k and tooling such as data fusion, which powering a new engine for Influx db. >>Now, these innovations, they evolve the idea of time series analysis by dramatically increasing the granularity of time series data by compressing the historical time slices, if you will, from, for example, minutes down to milliseconds. And at the same time, enabling real time analytics with an architecture that can process data much faster and much more efficiently. Now, after Brian, we're gonna hear from Anna East Dos Georgio, who is a developer advocate at In Flux Data. And we're gonna get into the why of these open source capabilities and how they contribute to the evolution of the Influx DB platform. And then we're gonna close the program with Tim Yokum, he's the director of engineering at Influx Data, and he's gonna explain how the Influx DB community actually evolved the data engine in mid-flight and which decisions went into the innovations that are coming to the market. Thank you for being here. We hope you enjoy the program. Let's get started. Okay, we're kicking things off with Brian Gilmore. He's the director of i t and emerging Technology at Influx State of Bryan. Welcome to the program. Thanks for coming on. >>Thanks Dave. Great to be here. I appreciate the time. >>Hey, explain why Influx db, you know, needs a new engine. Was there something wrong with the current engine? What's going on there? >>No, no, not at all. I mean, I think it's, for us, it's been about staying ahead of the market. I think, you know, if we think about what our customers are coming to us sort of with now, you know, related to requests like sql, you know, query support, things like that, we have to figure out a way to, to execute those for them in a way that will scale long term. And then we also, we wanna make sure we're innovating, we're sort of staying ahead of the market as well and sort of anticipating those future needs. So, you know, this is really a, a transparent change for our customers. I mean, I think we'll be adding new capabilities over time that sort of leverage this new engine, but you know, initially the customers who are using us are gonna see just great improvements in performance, you know, especially those that are working at the top end of the, of the workload scale, you know, the massive data volumes and things like that. >>Yeah, and we're gonna get into that today and the architecture and the like, but what was the catalyst for the enhancements? I mean, when and how did this all come about? >>Well, I mean, like three years ago we were primarily on premises, right? I mean, I think we had our open source, we had an enterprise product, you know, and, and sort of shifting that technology, especially the open source code base to a service basis where we were hosting it through, you know, multiple cloud providers. That was, that was, that was a long journey I guess, you know, phase one was, you know, we wanted to host enterprise for our customers, so we sort of created a service that we just managed and ran our enterprise product for them. You know, phase two of this cloud effort was to, to optimize for like multi-tenant, multi-cloud, be able to, to host it in a truly like sass manner where we could use, you know, some type of customer activity or consumption as the, the pricing vector, you know, And, and that was sort of the birth of the, of the real first influx DB cloud, you know, which has been really successful. >>We've seen, I think like 60,000 people sign up and we've got tons and tons of, of both enterprises as well as like new companies, developers, and of course a lot of home hobbyists and enthusiasts who are using out on a, on a daily basis, you know, and having that sort of big pool of, of very diverse and very customers to chat with as they're using the product, as they're giving us feedback, et cetera, has has, you know, pointed us in a really good direction in terms of making sure we're continuously improving that and then also making these big leaps as we're doing with this, with this new engine. >>Right. So you've called it a transparent change for customers, so I'm presuming it's non-disruptive, but I really wanna understand how much of a pivot this is and what, what does it take to make that shift from, you know, time series, you know, specialist to real time analytics and being able to support both? >>Yeah, I mean, it's much more of an evolution, I think, than like a shift or a pivot. You know, time series data is always gonna be fundamental and sort of the basis of the solutions that we offer our customers, and then also the ones that they're building on the sort of raw APIs of our platform themselves. You know, the time series market is one that we've worked diligently to lead. I mean, I think when it comes to like metrics, especially like sensor data and app and infrastructure metrics, if we're being honest though, I think our, our user base is well aware that the way we were architected was much more towards those sort of like backwards looking historical type analytics, which are key for troubleshooting and making sure you don't, you know, run into the same problem twice. But, you know, we had to ask ourselves like, what can we do to like better handle those queries from a performance and a, and a, you know, a time to response on the queries, and can we get that to the point where the results sets are coming back so quickly from the time of query that we can like limit that window down to minutes and then seconds. >>And now with this new engine, we're really starting to talk about a query window that could be like returning results in, in, you know, milliseconds of time since it hit the, the, the ingest queue. And that's, that's really getting to the point where as your data is available, you can use it and you can query it, you can visualize it, and you can do all those sort of magical things with it, you know? And I think getting all of that to a place where we're saying like, yes to the customer on, you know, all of the, the real time queries, the, the multiple language query support, but, you know, it was hard, but we're now at a spot where we can start introducing that to, you know, a a limited number of customers, strategic customers and strategic availability zones to start. But you know, everybody over time. >>So you're basically going from what happened to in, you can still do that obviously, but to what's happening now in the moment? >>Yeah, yeah. I mean if you think about time, it's always sort of past, right? I mean, like in the moment right now, whether you're talking about like a millisecond ago or a minute ago, you know, that's, that's pretty much right now, I think for most people, especially in these use cases where you have other sort of components of latency induced by the, by the underlying data collection, the architecture, the infrastructure, the, you know, the, the devices and you know, the sort of highly distributed nature of all of this. So yeah, I mean, getting, getting a customer or a user to be able to use the data as soon as it is available is what we're after here. >>I always thought, you know, real, I always thought of real time as before you lose the customer, but now in this context, maybe it's before the machine blows up. >>Yeah, it's, it's, I mean it is operationally or operational real time is different, you know, and that's one of the things that really triggered us to know that we were, we were heading in the right direction, is just how many sort of operational customers we have. You know, everything from like aerospace and defense. We've got companies monitoring satellites, we've got tons of industrial users, users using us as a processes storing on the plant floor, you know, and, and if we can satisfy their sort of demands for like real time historical perspective, that's awesome. I think what we're gonna do here is we're gonna start to like edge into the real time that they're used to in terms of, you know, the millisecond response times that they expect of their control systems, certainly not their, their historians and databases. >>I, is this available, these innovations to influx DB cloud customers only who can access this capability? >>Yeah. I mean commercially and today, yes. You know, I think we want to emphasize that's a, for now our goal is to get our latest and greatest and our best to everybody over time. Of course. You know, one of the things we had to do here was like we double down on sort of our, our commitment to open source and availability. So like anybody today can take a look at the, the libraries in on our GitHub and, you know, can ex inspect it and even can try to, you know, implement or execute some of it themselves in their own infrastructure. You know, we are, we're committed to bringing our sort of latest and greatest to our cloud customers first for a couple of reasons. Number one, you know, there are big workloads and they have high expectations of us. I think number two, it also gives us the opportunity to monitor a little bit more closely how it's working, how they're using it, like how the system itself is performing. >>And so just, you know, being careful, maybe a little cautious in terms of, of, of how big we go with this right away, just sort of both limits, you know, the risk of, of, you know, any issues that can come with new software rollouts. We haven't seen anything so far, but also it does give us the opportunity to have like meaningful conversations with a small group of users who are using the products, but once we get through that and they give us two thumbs up on it, it'll be like, open the gates and let everybody in. It's gonna be exciting time for the whole ecosystem. >>Yeah, that makes a lot of sense. And you can do some experimentation and, you know, using the cloud resources. Let's dig into some of the architectural and technical innovations that are gonna help deliver on this vision. What, what should we know there? >>Well, I mean, I think foundationally we built the, the new core on Rust. You know, this is a new very sort of popular systems language, you know, it's extremely efficient, but it's also built for speed and memory safety, which goes back to that us being able to like deliver it in a way that is, you know, something we can inspect very closely, but then also rely on the fact that it's going to behave well. And if it does find error conditions, I mean we, we've loved working with Go and, you know, a lot of our libraries will continue to, to be sort of implemented in Go, but you know, when it came to this particular new engine, you know, that power performance and stability rust was critical. On top of that, like, we've also integrated Apache Arrow and Apache Parque for persistence. I think for anybody who's really familiar with the nuts and bolts of our backend and our TSI and our, our time series merged Trees, this is a big break from that, you know, arrow on the sort of in MI side and then Par K in the on disk side. >>It, it allows us to, to present, you know, a unified set of APIs for those really fast real time inquiries that we talked about, as well as for very large, you know, historical sort of bulk data archives in that PARQUE format, which is also cool because there's an entire ecosystem sort of popping up around Parque in terms of the machine learning community, you know, and getting that all to work, we had to glue it together with aero flight. That's sort of what we're using as our, our RPC component. You know, it handles the orchestration and the, the transportation of the Coer data. Now we're moving to like a true Coer database model for this, this version of the engine, you know, and it removes a lot of overhead for us in terms of having to manage all that serialization, the deserialization, and, you know, to that again, like blurring that line between real time and historical data. It's, you know, it's, it's highly optimized for both streaming micro batch and then batches, but true streaming as well. >>Yeah. Again, I mean, it's funny you mentioned Rust. It is, it's been around for a long time, but it's popularity is, is you know, really starting to hit that steep part of the S-curve. And, and we're gonna dig into to more of that, but give us any, is there anything else that we should know about Bryan? Give us the last word? >>Well, I mean, I think first I'd like everybody sort of watching just to like take a look at what we're offering in terms of early access in beta programs. I mean, if, if, if you wanna participate or if you wanna work sort of in terms of early access with the, with the new engine, please reach out to the team. I'm sure you know, there's a lot of communications going out and you know, it'll be highly featured on our, our website, you know, but reach out to the team, believe it or not, like we have a lot more going on than just the new engine. And so there are also other programs, things we're, we're offering to customers in terms of the user interface, data collection and things like that. And, you know, if you're a customer of ours and you have a sales team, a commercial team that you work with, you can reach out to them and see what you can get access to because we can flip a lot of stuff on, especially in cloud through feature flags. >>But if there's something new that you wanna try out, we'd just love to hear from you. And then, you know, our goal would be that as we give you access to all of these new cool features that, you know, you would give us continuous feedback on these products and services, not only like what you need today, but then what you'll need tomorrow to, to sort of build the next versions of your business. Because you know, the whole database, the ecosystem as it expands out into to, you know, this vertically oriented stack of cloud services and enterprise databases and edge databases, you know, it's gonna be what we all make it together, not just, you know, those of us who were employed by Influx db. And then finally I would just say please, like watch in ICE in Tim's sessions, like these are two of our best and brightest, They're totally brilliant, completely pragmatic, and they are most of all customer obsessed, which is amazing. And there's no better takes, like honestly on the, the sort of technical details of this, then there's, especially when it comes to like the value that these investments will, will bring to our customers and our communities. So encourage you to, to, you know, pay more attention to them than you did to me, for sure. >>Brian Gilmore, great stuff. Really appreciate your time. Thank you. >>Yeah, thanks Dave. It was awesome. Look forward to it. >>Yeah, me too. Looking forward to see how the, the community actually applies these new innovations and goes, goes beyond just the historical into the real time really hot area. As Brian said in a moment, I'll be right back with Anna East dos Georgio to dig into the critical aspects of key open source components of the Influx DB engine, including Rust, Arrow, Parque, data fusion. Keep it right there. You don't wanna miss this >>Time series Data is everywhere. The number of sensors, systems and applications generating time series data increases every day. All these data sources producing so much data can cause analysis paralysis. Influx DB is an entire platform designed with everything you need to quickly build applications that generate value from time series data influx. DB Cloud is a serverless solution, which means you don't need to buy or manage your own servers. There's no need to worry about provisioning because you only pay for what you use. Influx DB Cloud is fully managed so you get the newest features and enhancements as they're added to the platform's code base. It also means you can spend time building solutions and delivering value to your users instead of wasting time and effort managing something else. Influx TVB Cloud offers a range of security features to protect your data, multiple layers of redundancy ensure you don't lose any data access controls ensure that only the people who should see your data can see it. >>And encryption protects your data at rest and in transit between any of our regions or cloud providers. InfluxDB uses a single API across the entire platform suite so you can build on open source, deploy to the cloud and then then easily query data in the cloud at the edge or on prem using the same scripts. And InfluxDB is schemaless automatically adjusting to changes in the shape of your data without requiring changes in your application. Logic. InfluxDB Cloud is production ready from day one. All it needs is your data and your imagination. Get started today@influxdata.com slash cloud. >>Okay, we're back. I'm Dave Valante with a Cube and you're watching evolving Influx DB into the smart data platform made possible by influx data. Anna ETOs Georgio is here, she's a developer advocate for influx data and we're gonna dig into the rationale and value contribution behind several open source technologies that Influx DB is leveraging to increase the granularity of time series analysis analysis and bring the world of data into real-time analytics and is welcome to the program. Thanks for coming on. >>Hi, thank you so much. It's a pleasure to be here. >>Oh, you're very welcome. Okay, so IX is being touted as this next gen open source core for Influx db. And my understanding is that it leverages in memory of course for speed. It's a kilo store, so it gives you a compression efficiency, it's gonna give you faster query speeds, you store files and object storage, so you got very cost effective approach. Are these the salient points on the platform? I know there are probably dozens of other features, but what are the high level value points that people should understand? >>Sure, that's a great question. So some of the main requirements that IOx is trying to achieve and some of the most impressive ones to me, the first one is that it aims to have no limits on cardinality and also allow you to write any kind of event data that you want, whether that's live tag or a field. It also wants to deliver the best in class performance on analytics queries. In addition to our already well served metrics queries, we also wanna have operator control over memory usage. So you should be able to define how much memory is used for buffering caching and query processing. Some other really important parts is the ability to have bulk data export and import super useful. Also broader ecosystem compatibility where possible we aim to use and embrace emerging standards in the data analytics ecosystem and have compatibility with things like sql, Python, and maybe even pandas in the future. >>Okay, so lot there. Now we talked to Brian about how you're using Rust and which is not a new programming language and of course we had some drama around Rust during the pandemic with the Mozilla layoffs, but the formation of the Rust Foundation really addressed any of those concerns. You got big guns like Amazon and Google and Microsoft throwing their collective weights behind it. It's really, the adoption is really starting to get steep on the S-curve. So lots of platforms, lots of adoption with rust, but why rust as an alternative to say c plus plus for example? >>Sure, that's a great question. So Russ was chosen because of his exceptional performance and reliability. So while Russ is synt tactically similar to c plus plus and it has similar performance, it also compiles to a native code like c plus plus. But unlike c plus plus, it also has much better memory safety. So memory safety is protection against bugs or security vulnerabilities that lead to excessive memory usage or memory leaks. And rust achieves this memory safety due to its like innovative type system. Additionally, it doesn't allow for dangling pointers. And dangling pointers are the main classes of errors that lead to exploitable security vulnerabilities in languages like c plus plus. So Russ like helps meet that requirement of having no limits on ality, for example, because it's, we're also using the Russ implementation of Apache Arrow and this control over memory and also Russ Russ's packaging system called crates IO offers everything that you need out of the box to have features like AY and a weight to fix race conditions, to protection against buffering overflows and to ensure thread safe async cashing structures as well. So essentially it's just like has all the control, all the fine grain control, you need to take advantage of memory and all your resources as well as possible so that you can handle those really, really high ity use cases. >>Yeah, and the more I learn about the, the new engine and, and the platform IOCs et cetera, you know, you, you see things like, you know, the old days not even to even today you do a lot of garbage collection in these, in these systems and there's an inverse, you know, impact relative to performance. So it looks like you really, you know, the community is modernizing the platform, but I wanna talk about Apache Arrow for a moment. It it's designed to address the constraints that are associated with analyzing large data sets. We, we know that, but please explain why, what, what is Arrow and and what does it bring to Influx db? >>Sure, yeah. So Arrow is a, a framework for defining in memory calmer data. And so much of the efficiency and performance of IOx comes from taking advantage of calmer data structures. And I will, if you don't mind, take a moment to kind of of illustrate why column or data structures are so valuable. Let's pretend that we are gathering field data about the temperature in our room and also maybe the temperature of our stove. And in our table we have those two temperature values as well as maybe a measurement value, timestamp value, maybe some other tag values that describe what room and what house, et cetera we're getting this data from. And so you can picture this table where we have like two rows with the two temperature values for both our room and the stove. Well usually our room temperature is regulated so those values don't change very often. >>So when you have calm oriented st calm oriented storage, essentially you take each row, each column and group it together. And so if that's the case and you're just taking temperature values from the room and a lot of those temperature values are the same, then you'll, you might be able to imagine how equal values will then enable each other and when they neighbor each other in the storage format, this provides a really perfect opportunity for cheap compression. And then this cheap compression enables high cardinality use cases. It also enables for faster scan rates. So if you wanna define like the men and max value of the temperature in the room across a thousand different points, you only have to get those a thousand different points in order to answer that question and you have those immediately available to you. But let's contrast this with a row oriented storage solution instead so that we can understand better the benefits of calmer oriented storage. >>So if you had a row oriented storage, you'd first have to look at every field like the temperature in, in the room and the temperature of the stove. You'd have to go across every tag value that maybe describes where the room is located or what model the stove is. And every timestamp you'd then have to pluck out that one temperature value that you want at that one time stamp and do that for every single row. So you're scanning across a ton more data and that's why Rowe Oriented doesn't provide the same efficiency as calmer and Apache Arrow is in memory calmer data, commoner data fit framework. So that's where a lot of the advantages come >>From. Okay. So you basically described like a traditional database, a row approach, but I've seen like a lot of traditional database say, okay, now we've got, we can handle colo format versus what you're talking about is really, you know, kind of native i, is it not as effective? Is the, is the foreman not as effective because it's largely a, a bolt on? Can you, can you like elucidate on that front? >>Yeah, it's, it's not as effective because you have more expensive compression and because you can't scan across the values as quickly. And so those are, that's pretty much the main reasons why, why RO row oriented storage isn't as efficient as calm, calmer oriented storage. Yeah. >>Got it. So let's talk about Arrow Data Fusion. What is data fusion? I know it's written in Rust, but what does it bring to the table here? >>Sure. So it's an extensible query execution framework and it uses Arrow as it's in memory format. So the way that it helps in influx DB IOCs is that okay, it's great if you can write unlimited amount of cardinality into influx Cbis, but if you don't have a query engine that can successfully query that data, then I don't know how much value it is for you. So Data fusion helps enable the, the query process and transformation of that data. It also has a PANDAS API so that you could take advantage of PANDAS data frames as well and all of the machine learning tools associated with Pandas. >>Okay. You're also leveraging Par K in the platform cause we heard a lot about Par K in the middle of the last decade cuz as a storage format to improve on Hadoop column stores. What are you doing with Parque and why is it important? >>Sure. So parque is the column oriented durable file format. So it's important because it'll enable bulk import, bulk export, it has compatibility with Python and Pandas, so it supports a broader ecosystem. Par K files also take very little disc disc space and they're faster to scan because again, they're column oriented in particular, I think PAR K files are like 16 times cheaper than CSV files, just as kind of a point of reference. And so that's essentially a lot of the, the benefits of par k. >>Got it. Very popular. So and he's, what exactly is influx data focusing on as a committer to these projects? What is your focus? What's the value that you're bringing to the community? >>Sure. So Influx DB first has contributed a lot of different, different things to the Apache ecosystem. For example, they contribute an implementation of Apache Arrow and go and that will support clearing with flux. Also, there has been a quite a few contributions to data fusion for things like memory optimization and supportive additional SQL features like support for timestamp, arithmetic and support for exist clauses and support for memory control. So yeah, Influx has contributed a a lot to the Apache ecosystem and continues to do so. And I think kind of the idea here is that if you can improve these upstream projects and then the long term strategy here is that the more you contribute and build those up, then the more you will perpetuate that cycle of improvement and the more we will invest in our own project as well. So it's just that kind of symbiotic relationship and appreciation of the open source community. >>Yeah. Got it. You got that virtuous cycle going, the people call the flywheel. Give us your last thoughts and kind of summarize, you know, where what, what the big takeaways are from your perspective. >>So I think the big takeaway is that influx data is doing a lot of really exciting things with Influx DB IOx and I really encourage, if you are interested in learning more about the technologies that Influx is leveraging to produce IOCs, the challenges associated with it and all of the hard work questions and you just wanna learn more, then I would encourage you to go to the monthly Tech talks and community office hours and they are on every second Wednesday of the month at 8:30 AM Pacific time. There's also a community forums and a community Slack channel look for the influx DDB unders IAC channel specifically to learn more about how to join those office hours and those monthly tech tech talks as well as ask any questions they have about iacs, what to expect and what you'd like to learn more about. I as a developer advocate, I wanna answer your questions. So if there's a particular technology or stack that you wanna dive deeper into and want more explanation about how INFLUX DB leverages it to build IOCs, I will be really excited to produce content on that topic for you. >>Yeah, that's awesome. You guys have a really rich community, collaborate with your peers, solve problems, and, and you guys super responsive, so really appreciate that. All right, thank you so much Anise for explaining all this open source stuff to the audience and why it's important to the future of data. >>Thank you. I really appreciate it. >>All right, you're very welcome. Okay, stay right there and in a moment I'll be back with Tim Yoakum, he's the director of engineering for Influx Data and we're gonna talk about how you update a SAS engine while the plane is flying at 30,000 feet. You don't wanna miss this. >>I'm really glad that we went with InfluxDB Cloud for our hosting because it has saved us a ton of time. It's helped us move faster, it's saved us money. And also InfluxDB has good support. My name's Alex Nada. I am CTO at Noble nine. Noble Nine is a platform to measure and manage service level objectives, which is a great way of measuring the reliability of your systems. You can essentially think of an slo, the product we're providing to our customers as a bunch of time series. So we need a way to store that data and the corresponding time series that are related to those. The main reason that we settled on InfluxDB as we were shopping around is that InfluxDB has a very flexible query language and as a general purpose time series database, it basically had the set of features we were looking for. >>As our platform has grown, we found InfluxDB Cloud to be a really scalable solution. We can quickly iterate on new features and functionality because Influx Cloud is entirely managed, it probably saved us at least a full additional person on our team. We also have the option of running InfluxDB Enterprise, which gives us the ability to even host off the cloud or in a private cloud if that's preferred by a customer. Influx data has been really flexible in adapting to the hosting requirements that we have. They listened to the challenges we were facing and they helped us solve it. As we've continued to grow, I'm really happy we have influx data by our side. >>Okay, we're back with Tim Yokum, who is the director of engineering at Influx Data. Tim, welcome. Good to see you. >>Good to see you. Thanks for having me. >>You're really welcome. Listen, we've been covering open source software in the cube for more than a decade, and we've kind of watched the innovation from the big data ecosystem. The cloud has been being built out on open source, mobile, social platforms, key databases, and of course influx DB and influx data has been a big consumer and contributor of open source software. So my question to you is, where have you seen the biggest bang for the buck from open source software? >>So yeah, you know, influx really, we thrive at the intersection of commercial services and open, so open source software. So OSS keeps us on the cutting edge. We benefit from OSS in delivering our own service from our core storage engine technologies to web services temping engines. Our, our team stays lean and focused because we build on proven tools. We really build on the shoulders of giants and like you've mentioned, even better, we contribute a lot back to the projects that we use as well as our own product influx db. >>You know, but I gotta ask you, Tim, because one of the challenge that that we've seen in particular, you saw this in the heyday of Hadoop, the, the innovations come so fast and furious and as a software company you gotta place bets, you gotta, you know, commit people and sometimes those bets can be risky and not pay off well, how have you managed this challenge? >>Oh, it moves fast. Yeah, that, that's a benefit though because it, the community moves so quickly that today's hot technology can be tomorrow's dinosaur. And what we, what we tend to do is, is we fail fast and fail often. We try a lot of things. You know, you look at Kubernetes for example, that ecosystem is driven by thousands of intelligent developers, engineers, builders, they're adding value every day. So we have to really keep up with that. And as the stack changes, we, we try different technologies, we try different methods, and at the end of the day, we come up with a better platform as a result of just the constant change in the environment. It is a challenge for us, but it's, it's something that we just do every day. >>So we have a survey partner down in New York City called Enterprise Technology Research etr, and they do these quarterly surveys of about 1500 CIOs, IT practitioners, and they really have a good pulse on what's happening with spending. And the data shows that containers generally, but specifically Kubernetes is one of the areas that has kind of, it's been off the charts and seen the most significant adoption and velocity particularly, you know, along with cloud. But, but really Kubernetes is just, you know, still up until the right consistently even with, you know, the macro headwinds and all, all of the stuff that we're sick of talking about. But, so what are you doing with Kubernetes in the platform? >>Yeah, it, it's really central to our ability to run the product. When we first started out, we were just on AWS and, and the way we were running was, was a little bit like containers junior. Now we're running Kubernetes everywhere at aws, Azure, Google Cloud. It allows us to have a consistent experience across three different cloud providers and we can manage that in code so our developers can focus on delivering services, not trying to learn the intricacies of Amazon, Azure, and Google and figure out how to deliver services on those three clouds with all of their differences. >>Just to follow up on that, is it, no. So I presume it's sounds like there's a PAs layer there to allow you guys to have a consistent experience across clouds and out to the edge, you know, wherever is that, is that correct? >>Yeah, so we've basically built more or less platform engineering, This is the new hot phrase, you know, it, it's, Kubernetes has made a lot of things easy for us because we've built a platform that our developers can lean on and they only have to learn one way of deploying their application, managing their application. And so that, that just gets all of the underlying infrastructure out of the way and, and lets them focus on delivering influx cloud. >>Yeah, and I know I'm taking a little bit of a tangent, but is that, that, I'll call it a PAs layer if I can use that term. Is that, are there specific attributes to Influx db or is it kind of just generally off the shelf paths? You know, are there, is, is there any purpose built capability there that, that is, is value add or is it pretty much generic? >>So we really build, we, we look at things through, with a build versus buy through a, a build versus by lens. Some things we want to leverage cloud provider services, for instance, Postgres databases for metadata, perhaps we'll get that off of our plate, let someone else run that. We're going to deploy a platform that our engineers can, can deliver on that has consistency that is, is all generated from code that we can as a, as an SRE group, as an ops team, that we can manage with very few people really, and we can stamp out clusters across multiple regions and in no time. >>So how, so sometimes you build, sometimes you buy it. How do you make those decisions and and what does that mean for the, for the platform and for customers? >>Yeah, so what we're doing is, it's like everybody else will do, we're we're looking for trade offs that make sense. You know, we really want to protect our customers data. So we look for services that support our own software with the most uptime, reliability, and durability we can get. Some things are just going to be easier to have a cloud provider take care of on our behalf. We make that transparent for our own team. And of course for customers you don't even see that, but we don't want to try to reinvent the wheel, like I had mentioned with SQL data stores for metadata, perhaps let's build on top of what of these three large cloud providers have already perfected. And we can then focus on our platform engineering and we can have our developers then focus on the influx data, software, influx, cloud software. >>So take it to the customer level, what does it mean for them? What's the value that they're gonna get out of all these innovations that we've been been talking about today and what can they expect in the future? >>So first of all, people who use the OSS product are really gonna be at home on our cloud platform. You can run it on your desktop machine, on a single server, what have you, but then you want to scale up. We have some 270 terabytes of data across, over 4 billion series keys that people have stored. So there's a proven ability to scale now in terms of the open source, open source software and how we've developed the platform. You're getting highly available high cardinality time series platform. We manage it and, and really as, as I mentioned earlier, we can keep up with the state of the art. We keep reinventing, we keep deploying things in real time. We deploy to our platform every day repeatedly all the time. And it's that continuous deployment that allows us to continue testing things in flight, rolling things out that change new features, better ways of doing deployments, safer ways of doing deployments. >>All of that happens behind the scenes. And like we had mentioned earlier, Kubernetes, I mean that, that allows us to get that done. We couldn't do it without having that platform as a, as a base layer for us to then put our software on. So we, we iterate quickly. When you're on the, the Influx cloud platform, you really are able to, to take advantage of new features immediately. We roll things out every day and as those things go into production, you have, you have the ability to, to use them. And so in the end we want you to focus on getting actual insights from your data instead of running infrastructure, you know, let, let us do that for you. So, >>And that makes sense, but so is the, is the, are the innovations that we're talking about in the evolution of Influx db, do, do you see that as sort of a natural evolution for existing customers? I, is it, I'm sure the answer is both, but is it opening up new territory for customers? Can you add some color to that? >>Yeah, it really is it, it's a little bit of both. Any engineer will say, well, it depends. So cloud native technologies are, are really the hot thing. Iot, industrial iot especially, people want to just shove tons of data out there and be able to do queries immediately and they don't wanna manage infrastructure. What we've started to see are people that use the cloud service as their, their data store backbone and then they use edge computing with R OSS product to ingest data from say, multiple production lines and downsample that data, send the rest of that data off influx cloud where the heavy processing takes place. So really us being in all the different clouds and iterating on that and being in all sorts of different regions allows for people to really get out of the, the business of man trying to manage that big data, have us take care of that. And of course as we change the platform end users benefit from that immediately. And, >>And so obviously taking away a lot of the heavy lifting for the infrastructure, would you say the same thing about security, especially as you go out to IOT and the Edge? How should we be thinking about the value that you bring from a security perspective? >>Yeah, we take, we take security super seriously. It, it's built into our dna. We do a lot of work to ensure that our platform is secure, that the data we store is, is kept private. It's of course always a concern. You see in the news all the time, companies being compromised, you know, that's something that you can have an entire team working on, which we do to make sure that the data that you have, whether it's in transit, whether it's at rest, is always kept secure, is only viewable by you. You know, you look at things like software, bill of materials, if you're running this yourself, you have to go vet all sorts of different pieces of software. And we do that, you know, as we use new tools. That's something that, that's just part of our jobs to make sure that the platform that we're running it has, has fully vetted software and, and with open source especially, that's a lot of work. And so it's, it's definitely new territory. Supply chain attacks are, are definitely happening at a higher clip than they used to, but that is, that is really just part of a day in the, the life for folks like us that are, are building platforms. >>Yeah, and that's key. I mean especially when you start getting into the, the, you know, we talk about IOT and the operations technologies, the engineers running the, that infrastructure, you know, historically, as you know, Tim, they, they would air gap everything. That's how they kept it safe. But that's not feasible anymore. Everything's >>That >>Connected now, right? And so you've gotta have a partner that is again, take away that heavy lifting to r and d so you can focus on some of the other activities. Right. Give us the, the last word and the, the key takeaways from your perspective. >>Well, you know, from my perspective I see it as, as a a two lane approach with, with influx, with Anytime series data, you know, you've got a lot of stuff that you're gonna run on-prem, what you had mentioned, air gaping. Sure there's plenty of need for that, but at the end of the day, people that don't want to run big data centers, people that want torus their data to, to a company that's, that's got a full platform set up for them that they can build on, send that data over to the cloud, the cloud is not going away. I think more hybrid approach is, is where the future lives and that's what we're prepared for. >>Tim, really appreciate you coming to the program. Great stuff. Good to see you. >>Thanks very much. Appreciate it. >>Okay, in a moment I'll be back to wrap up. Today's session, you're watching The Cube. >>Are you looking for some help getting started with InfluxDB Telegraph or Flux Check >>Out Influx DB University >>Where you can find our entire catalog of free training that will help you make the most of your time series data >>Get >>Started for free@influxdbu.com. >>We'll see you in class. >>Okay, so we heard today from three experts on time series and data, how the Influx DB platform is evolving to support new ways of analyzing large data sets very efficiently and effectively in real time. And we learned that key open source components like Apache Arrow and the Rust Programming environment Data fusion par K are being leveraged to support realtime data analytics at scale. We also learned about the contributions in importance of open source software and how the Influx DB community is evolving the platform with minimal disruption to support new workloads, new use cases, and the future of realtime data analytics. Now remember these sessions, they're all available on demand. You can go to the cube.net to find those. Don't forget to check out silicon angle.com for all the news related to things enterprise and emerging tech. And you should also check out influx data.com. There you can learn about the company's products. You'll find developer resources like free courses. You could join the developer community and work with your peers to learn and solve problems. And there are plenty of other resources around use cases and customer stories on the website. This is Dave Valante. Thank you for watching Evolving Influx DB into the smart data platform, made possible by influx data and brought to you by the Cube, your leader in enterprise and emerging tech coverage.

>>Individuals create developers, translate ideas to code, to create great applications and great applications. Touch everyone. A Docker. We know that collaboration is key to your innovation sharing ideas, working together. Launching the most secure applications. Docker is with you wherever your team innovates, whether it be robots or autonomous cars, we're doing research to save lives during a pandemic, revolutionizing, how to buy and sell goods online, or even going into the unknown frontiers of space. Docker is launching innovation everywhere. Join us on the journey to build, share, run the future. >>Hello and welcome to Docker con 2021. We're incredibly excited to have more than 80,000 of you join us today from all over the world. As it was last year, this year at DockerCon is 100% virtual and 100% free. So as to enable as many community members as possible to join us now, 100%. Virtual is also an acknowledgement of the continuing global pandemic in particular, the ongoing tragedies in India and Brazil, the Docker community is a global one. And on behalf of all Dr. Khan attendees, we are donating $10,000 to UNICEF support efforts to fight the virus in those countries. Now, even in those regions of the world where the pandemic is being brought under control, virtual first is the new normal. It's been a challenging transition. This includes our team here at Docker. And we know from talking with many of you that you and your developer teams are challenged by this as well. So to help application development teams better collaborate and ship faster, we've been working on some powerful new features and we thought it would be fun to start off with a demo of those. How about it? Want to have a look? All right. Then no further delay. I'd like to introduce Youi Cal and Ben, gosh, over to you and Ben >>Morning, Ben, thanks for jumping on real quick. >>Have you seen the email from Scott? The one about updates and the docs landing page Smith, the doc combat and more prominence. >>Yeah. I've got something working on my local machine. I haven't committed anything yet. I was thinking we could try, um, that new Docker dev environments feature. >>Yeah, that's cool. So if you hit the share button, what I should do is it will take all of your code and the dependencies and the image you're basing it on and wrap that up as one image for me. And I can then just monitor all my machines that have been one click, like, and then have it side by side, along with the changes I've been looking at as well, because I was also having a bit of a look and then I can really see how it differs to what I'm doing. Maybe I can combine it to do the best of both worlds. >>Sounds good. Uh, let me get that over to you, >>Wilson. Yeah. If you pay with the image name, I'll get that started up. >>All right. Sen send it over >>Cheesy. Okay, great. Let's have a quick look at what you he was doing then. So I've been messing around similar to do with the batter. I've got movie at the top here and I think it looks pretty cool. Let's just grab that image from you. Pick out that started on a dev environment. What this is doing. It's just going to grab the image down, which you can take all of the code, the dependencies only get brunches working on and I'll get that opened up in my idea. Ready to use. It's a here close. We can see our environment as my Molly image, just coming down there and I've got my new idea. >>We'll load this up and it'll just connect to my dev environment. There we go. It's connected to the container. So we're working all in the container here and now give it a moment. What we'll do is we'll see what changes you've been making as well on the code. So it's like she's been working on a landing page as well, and it looks like she's been changing the banner as well. So let's get this running. Let's see what she's actually doing and how it looks. We'll set up our checklist and then we'll see how that works. >>Great. So that's now rolling. So let's just have a look at what you use doing what changes she had made. Compare those to mine just jumped back into my dev container UI, see that I've got both of those running side by side with my changes and news changes. Okay. So she's put Molly up there rather than mobi or somebody had the same idea. So I think in a way I can make us both happy. So if we just jumped back into what we'll do, just add Molly and Moby and here I'll save that. And what we can see is, cause I'm just working within the container rather than having to do sort of rebuild of everything or serve, or just reload my content. No, that's straight the page. So what I can then do is I can come up with my browser here. Once that's all refreshed, refresh the page once hopefully, maybe twice, we should then be able to see your refresh it or should be able to see that we get Malia mobi come up. So there we go, got Molly mobi. So what we'll do now is we'll describe that state. It sends us our image and then we'll just create one of those to share with URI or share. And we'll get a link for that. I guess we'll send that back over to you. >>So I've had a look at what you were doing and I'm actually going to change. I think that might work for both of us. I wondered if you could take a look at it. If I send it over. >>Sounds good. Let me grab the link. >>Yeah, it's a dev environment link again. So if you just open that back in the doc dashboard, it should be able to open up the code that I've changed and then just run it in the same way you normally do. And that shouldn't interrupt what you're already working on because there'll be able to run side by side with your other brunch. You already got, >>Got it. Got it. Loading here. Well, that's great. It's Molly and movie together. I love it. I think we should ship it. >>Awesome. I guess it's chip it and get on with the rest of.com. Wasn't that cool. Thank you Joey. Thanks Ben. Everyone we'll have more of this later in the keynote. So stay tuned. Let's say earlier, we've all been challenged by this past year, whether the COVID pandemic, the complete evaporation of customer demand in many industries, unemployment or business bankruptcies, we all been touched in some way. And yet, even to miss these tragedies last year, we saw multiple sources of hope and inspiration. For example, in response to COVID we saw global communities, including the tech community rapidly innovate solutions for analyzing the spread of the virus, sequencing its genes and visualizing infection rates. In fact, if all in teams collaborating on solutions for COVID have created more than 1,400 publicly shareable images on Docker hub. As another example, we all witnessed the historic landing and exploration of Mars by the perseverance Rover and its ingenuity drone. >>Now what's common in these examples, these innovative and ambitious accomplishments were made possible not by any single individual, but by teams of individuals collaborating together. The power of teams is why we've made development teams central to Docker's mission to build tools and content development teams love to help them get their ideas from code to cloud as quickly as possible. One of the frictions we've seen that can slow down to them in teams is that the path from code to cloud can be a confusing one, riddle with multiple point products, tools, and images that need to be integrated and maintained an automated pipeline in order for teams to be productive. That's why a year and a half ago we refocused Docker on helping development teams make sense of all this specifically, our goal is to provide development teams with the trusted content, the sharing capabilities and the pipeline integrations with best of breed third-party tools to help teams ship faster in short, to provide a collaborative application development platform. >>Everything a team needs to build. Sharon run create applications. Now, as I noted earlier, it's been a challenging year for everyone on our planet and has been similar for us here at Docker. Our team had to adapt to working from home local lockdowns caused by the pandemic and other challenges. And despite all this together with our community and ecosystem partners, we accomplished many exciting milestones. For example, in open source together with the community and our partners, we open sourced or made major contributions to many projects, including OCI distribution and the composed plugins building on these open source projects. We had powerful new capabilities to the Docker product, both free and subscription. For example, support for WSL two and apple, Silicon and Docker, desktop and vulnerability scanning audit logs and image management and Docker hub. >>And finally delivering an easy to use well-integrated development experience with best of breed tools and content is only possible through close collaboration with our ecosystem partners. For example, this last year we had over 100 commercialized fees, join our Docker verified publisher program and over 200 open source projects, join our Docker sponsored open source program. As a result of these efforts, we've seen some exciting growth in the Docker community in the 12 months since last year's Docker con for example, the number of registered developers grew 80% to over 8 million. These developers created many new images increasing the total by 56% to almost 11 million. And the images in all these repositories were pulled by more than 13 million monthly active IP addresses totaling 13 billion pulls a month. Now while the growth is exciting by Docker, we're even more excited about the stories we hear from you and your development teams about how you're using Docker and its impact on your businesses. For example, cancer researchers and their bioinformatics development team at the Washington university school of medicine needed a way to quickly analyze their clinical trial results and then share the models, the data and the analysis with other researchers they use Docker because it gives them the ease of use choice of pipeline tools and speed of sharing so critical to their research. And most importantly to the lives of their patients stay tuned for another powerful customer story later in the keynote from Matt fall, VP of engineering at Oracle insights. >>So with this last year behind us, what's next for Docker, but challenge you this last year of force changes in how development teams work, but we felt for years to come. And what we've learned in our discussions with you will have long lasting impact on our product roadmap. One of the biggest takeaways from those discussions that you and your development team want to be quicker to adapt, to changes in your environment so you can ship faster. So what is DACA doing to help with this first trusted content to own the teams that can focus their energies on what is unique to their businesses and spend as little time as possible on undifferentiated work are able to adapt more quickly and ship faster in order to do so. They need to be able to trust other components that make up their app together with our partners. >>Docker is doubling down and providing development teams with trusted content and the tools they need to use it in their applications. Second, remote collaboration on a development team, asking a coworker to take a look at your code used to be as easy as swiveling their chair around, but given what's happened in the last year, that's no longer the case. So as you even been hinted in the demo at the beginning, you'll see us deliver more capabilities for remote collaboration within a development team. And we're enabling development team to quickly adapt to any team configuration all on prem hybrid, all work from home, helping them remain productive and focused on shipping third ecosystem integrations, those development teams that can quickly take advantage of innovations throughout the ecosystem. Instead of getting locked into a single monolithic pipeline, there'll be the ones able to deliver amps, which impact their businesses faster. >>So together with our ecosystem partners, we are investing in more integrations with best of breed tools, right? Integrated automated app pipelines. Furthermore, we'll be writing more public API APIs and SDKs to enable ecosystem partners and development teams to roll their own integrations. We'll be sharing more details about remote collaboration and ecosystem integrations. Later in the keynote, I'd like to take a moment to share with Docker and our partners are doing for trusted content, providing development teams, access to content. They can trust, allows them to focus their coding efforts on what's unique and differentiated to that end Docker and our partners are bringing more and more trusted content to Docker hub Docker official images are 160 images of popular upstream open source projects that serve as foundational building blocks for any application. These include operating systems, programming, languages, databases, and more. Furthermore, these are updated patch scan and certified frequently. So I said, no image is older than 30 days. >>Docker verified publisher images are published by more than 100 commercialized feeds. The image Rebos are explicitly designated verify. So the developers searching for components for their app know that the ISV is actively maintaining the image. Docker sponsored open source projects announced late last year features images for more than 200 open source communities. Docker sponsors these communities through providing free storage and networking resources and offering their community members unrestricted access repos for businesses allow businesses to update and share their apps privately within their organizations using role-based access control and user authentication. No, and finally, public repos for communities enable community projects to be freely shared with anonymous and authenticated users alike. >>And for all these different types of content, we provide services for both development teams and ISP, for example, vulnerability scanning and digital signing for enhanced security search and filtering for discoverability packaging and updating services and analytics about how these products are being used. All this trusted content, we make available to develop teams for them directly to discover poll and integrate into their applications. Our goal is to meet development teams where they live. So for those organizations that prefer to manage their internal distribution of trusted content, we've collaborated with leading container registry partners. We announced our partnership with J frog late last year. And today we're very pleased to announce our partnerships with Amazon and Miranda's for providing an integrated seamless experience for joint for our joint customers. Lastly, the container images themselves and this end to end flow are built on open industry standards, which provided all the teams with flexibility and choice trusted content enables development teams to rapidly build. >>As I let them focus on their unique differentiated features and use trusted building blocks for the rest. We'll be talking more about trusted content as well as remote collaboration and ecosystem integrations later in the keynote. Now ecosystem partners are not only integral to the Docker experience for development teams. They're also integral to a great DockerCon experience, but please join me in thanking our Dr. Kent on sponsors and checking out their talks throughout the day. I also want to thank some others first up Docker team. Like all of you this last year has been extremely challenging for us, but the Docker team rose to the challenge and worked together to continue shipping great product, the Docker community of captains, community leaders, and contributors with your welcoming newcomers, enthusiasm for Docker and open exchanges of best practices and ideas talker, wouldn't be Docker without you. And finally, our development team customers. >>You trust us to help you build apps. Your businesses rely on. We don't take that trust for granted. Thank you. In closing, we often hear about the tenant's developer capable of great individual feeds that can transform project. But I wonder if we, as an industry have perhaps gotten this wrong by putting so much emphasis on weight, on the individual as discussed at the beginning, great accomplishments like innovative responses to COVID-19 like landing on Mars are more often the results of individuals collaborating together as a team, which is why our mission here at Docker is delivered tools and content developers love to help their team succeed and become 10 X teams. Thanks again for joining us, we look forward to having a great DockerCon with you today, as well as a great year ahead of us. Thanks and be well. >>Hi, I'm Dana Lawson, VP of engineering here at get hub. And my job is to enable this rich interconnected community of builders and makers to build even more and hopefully have a great time doing it in order to enable the best platform for developers, which I know is something we are all passionate about. We need to partner across the ecosystem to ensure that developers can have a great experience across get hub and all the tools that they want to use. No matter what they are. My team works to build the tools and relationships to make that possible. I am so excited to join Scott on this virtual stage to talk about increasing developer velocity. So let's dive in now, I know this may be hard for some of you to believe, but as a former CIS admin, some 21 years ago, working on sense spark workstations, we've come such a long way for random scripts and desperate systems that we've stitched together to this whole inclusive developer workflow experience being a CIS admin. >>Then you were just one piece of the siloed experience, but I didn't want to just push code to production. So I created scripts that did it for me. I taught myself how to code. I was the model lazy CIS admin that got dangerous and having pushed a little too far. I realized that working in production and building features is really a team sport that we had the opportunity, all of us to be customer obsessed today. As developers, we can go beyond the traditional dev ops mindset. We can really focus on adding value to the customer experience by ensuring that we have work that contributes to increasing uptime via and SLS all while being agile and productive. We get there. When we move from a pass the Baton system to now having an interconnected developer workflow that increases velocity in every part of the cycle, we get to work better and smarter. >>And honestly, in a way that is so much more enjoyable because we automate away all the mundane and manual and boring tasks. So we get to focus on what really matters shipping, the things that humans get to use and love. Docker has been a big part of enabling this transformation. 10, 20 years ago, we had Tomcat containers, which are not Docker containers. And for y'all hearing this the first time go Google it. But that was the way we built our applications. We had to segment them on the server and give them resources. Today. We have Docker containers, these little mini Oasys and Docker images. You can do it multiple times in an orchestrated manner with the power of actions enabled and Docker. It's just so incredible what you can do. And by the way, I'm showing you actions in Docker, which I hope you use because both are great and free for open source. >>But the key takeaway is really the workflow and the automation, which you certainly can do with other tools. Okay, I'm going to show you just how easy this is, because believe me, if this is something I can learn and do anybody out there can, and in this demo, I'll show you about the basic components needed to create and use a package, Docker container actions. And like I said, you won't believe how awesome the combination of Docker and actions is because you can enable your workflow to do no matter what you're trying to do in this super baby example. We're so small. You could take like 10 seconds. Like I am here creating an action due to a simple task, like pushing a message to your logs. And the cool thing is you can use it on any the bit on this one. Like I said, we're going to use push. >>You can do, uh, even to order a pizza every time you roll into production, if you wanted, but at get hub, that'd be a lot of pizzas. And the funny thing is somebody out there is actually tried this and written that action. If you haven't used Docker and actions together, check out the docs on either get hub or Docker to get you started. And a huge shout out to all those doc writers out there. I built this demo today using those instructions. And if I can do it, I know you can too, but enough yapping let's get started to save some time. And since a lot of us are Docker and get hub nerds, I've already created a repo with a Docker file. So we're going to skip that step. Next. I'm going to create an action's Yammel file. And if you don't Yammer, you know, actions, the metadata defines my important log stuff to capture and the input and my time out per parameter to pass and puts to the Docker container, get up a build image from your Docker file and run the commands in a new container. >>Using the Sigma image. The cool thing is, is you can use any Docker image in any language for your actions. It doesn't matter if it's go or whatever in today's I'm going to use a shell script and an input variable to print my important log stuff to file. And like I said, you know me, I love me some. So let's see this action in a workflow. When an action is in a private repo, like the one I demonstrating today, the action can only be used in workflows in the same repository, but public actions can be used by workflows in any repository. So unfortunately you won't get access to the super awesome action, but don't worry in the Guild marketplace, there are over 8,000 actions available, especially the most important one, that pizza action. So go try it out. Now you can do this in a couple of ways, whether you're doing it in your preferred ID or for today's demo, I'm just going to use the gooey. I'm going to navigate to my actions tab as I've done here. And I'm going to in my workflow, select new work, hello, probably load some workflows to Claire to get you started, but I'm using the one I've copied. Like I said, the lazy developer I am in. I'm going to replace it with my action. >>That's it. So now we're going to go and we're going to start our commitment new file. Now, if we go over to our actions tab, we can see the workflow in progress in my repository. I just click the actions tab. And because they wrote the actions on push, we can watch the visualization under jobs and click the job to see the important stuff we're logging in the input stamp in the printed log. And we'll just wait for this to run. Hello, Mona and boom. Just like that. It runs automatically within our action. We told it to go run as soon as the files updated because we're doing it on push merge. That's right. Folks in just a few minutes, I built an action that writes an entry to a log file every time I push. So I don't have to do it manually. In essence, with automation, you can be kind to your future self and save time and effort to focus on what really matters. >>Imagine what I could do with even a little more time, probably order all y'all pieces. That is the power of the interconnected workflow. And it's amazing. And I hope you all go try it out, but why do we care about all of that? Just like in the demo, I took a manual task with both tape, which both takes time and it's easy to forget and automated it. So I don't have to think about it. And it's executed every time consistently. That means less time for me to worry about my human errors and mistakes, and more time to focus on actually building the cool stuff that people want. Obviously, automation, developer productivity, but what is even more important to me is the developer happiness tools like BS, code actions, Docker, Heroku, and many others reduce manual work, which allows us to focus on building things that are awesome. >>And to get into that wonderful state that we call flow. According to research by UC Irvine in Humboldt university in Germany, it takes an average of 23 minutes to enter optimal creative state. What we call the flow or to reenter it after distraction like your dog on your office store. So staying in flow is so critical to developer productivity and as a developer, it just feels good to be cranking away at something with deep focus. I certainly know that I love that feeling intuitive collaboration and automation features we built in to get hub help developer, Sam flow, allowing you and your team to do so much more, to bring the benefits of automation into perspective in our annual October's report by Dr. Nicole, Forsgren. One of my buddies here at get hub, took a look at the developer productivity in the stork year. You know what we found? >>We found that public GitHub repositories that use the Automational pull requests, merge those pull requests. 1.2 times faster. And the number of pooled merged pull requests increased by 1.3 times, that is 34% more poor requests merged. And other words, automation can con can dramatically increase, but the speed and quantity of work completed in any role, just like an open source development, you'll work more efficiently with greater impact when you invest the bulk of your time in the work that adds the most value and eliminate or outsource the rest because you don't need to do it, make the machines by elaborate by leveraging automation in their workflows teams, minimize manual work and reclaim that time for innovation and maintain that state of flow with development and collaboration. More importantly, their work is more enjoyable because they're not wasting the time doing the things that the machines or robots can do for them. >>And I remember what I said at the beginning. Many of us want to be efficient, heck even lazy. So why would I spend my time doing something I can automate? Now you can read more about this research behind the art behind this at October set, get hub.com, which also includes a lot of other cool info about the open source ecosystem and how it's evolving. Speaking of the open source ecosystem we at get hub are so honored to be the home of more than 65 million developers who build software together for everywhere across the globe. Today, we're seeing software development taking shape as the world's largest team sport, where development teams collaborate, build and ship products. It's no longer a solo effort like it was for me. You don't have to take my word for it. Check out this globe. This globe shows real data. Every speck of light you see here represents a contribution to an open source project, somewhere on earth. >>These arts reach across continents, cultures, and other divides. It's distributed collaboration at its finest. 20 years ago, we had no concept of dev ops, SecOps and lots, or the new ops that are going to be happening. But today's development and ops teams are connected like ever before. This is only going to continue to evolve at a rapid pace, especially as we continue to empower the next hundred million developers, automation helps us focus on what's important and to greatly accelerate innovation. Just this past year, we saw some of the most groundbreaking technological advancements and achievements I'll say ever, including critical COVID-19 vaccine trials, as well as the first power flight on Mars. This past month, these breakthroughs were only possible because of the interconnected collaborative open source communities on get hub and the amazing tools and workflows that empower us all to create and innovate. Let's continue building, integrating, and automating. So we collectively can give developers the experience. They deserve all of the automation and beautiful eye UIs that we can muster so they can continue to build the things that truly do change the world. Thank you again for having me today, Dr. Khan, it has been a pleasure to be here with all you nerds. >>Hello. I'm Justin. Komack lovely to see you here. Talking to developers, their world is getting much more complex. Developers are being asked to do everything security ops on goal data analysis, all being put on the rockers. Software's eating the world. Of course, and this all make sense in that view, but they need help. One team. I told you it's shifted all our.net apps to run on Linux from windows, but their developers found the complexity of Docker files based on the Linux shell scripts really difficult has helped make these things easier for your teams. Your ones collaborate more in a virtual world, but you've asked us to make this simpler and more lightweight. You, the developers have asked for a paved road experience. You want things to just work with a simple options to be there, but it's not just the paved road. You also want to be able to go off-road and do interesting and different things. >>Use different components, experiments, innovate as well. We'll always offer you both those choices at different times. Different developers want different things. It may shift for ones the other paved road or off road. Sometimes you want reliability, dependability in the zone for day to day work, but sometimes you have to do something new, incorporate new things in your pipeline, build applications for new places. Then you knew those off-road abilities too. So you can really get under the hood and go and build something weird and wonderful and amazing. That gives you new options. Talk as an independent choice. We don't own the roads. We're not pushing you into any technology choices because we own them. We're really supporting and driving open standards, such as ISEI working opensource with the CNCF. We want to help you get your applications from your laptops, the clouds, and beyond, even into space. >>Let's talk about the key focus areas, that frame, what DACA is doing going forward. These are simplicity, sharing, flexibility, trusted content and care supply chain compared to building where the underlying kernel primitives like namespaces and Seagraves the original Docker CLI was just amazing Docker engine. It's a magical experience for everyone. It really brought those innovations and put them in a world where anyone would use that, but that's not enough. We need to continue to innovate. And it was trying to get more done faster all the time. And there's a lot more we can do. We're here to take complexity away from deeply complicated underlying things and give developers tools that are just amazing and magical. One of the area we haven't done enough and make things magical enough that we're really planning around now is that, you know, Docker images, uh, they're the key parts of your application, but you know, how do I do something with an image? How do I, where do I attach volumes with this image? What's the API. Whereas the SDK for this image, how do I find an example or docs in an API driven world? Every bit of software should have an API and an API description. And our vision is that every container should have this API description and the ability for you to understand how to use it. And it's all a seamless thing from, you know, from your code to the cloud local and remote, you can, you can use containers in this amazing and exciting way. >>One thing I really noticed in the last year is that companies that started off remote fast have constant collaboration. They have zoom calls, apron all day terminals, shattering that always working together. Other teams are really trying to learn how to do this style because they didn't start like that. We used to walk around to other people's desks or share services on the local office network. And it's very difficult to do that anymore. You want sharing to be really simple, lightweight, and informal. Let me try your container or just maybe let's collaborate on this together. Um, you know, fast collaboration on the analysts, fast iteration, fast working together, and he wants to share more. You want to share how to develop environments, not just an image. And we all work by seeing something someone else in our team is doing saying, how can I do that too? I can, I want to make that sharing really, really easy. Ben's going to talk about this more in the interest of one minute. >>We know how you're excited by apple. Silicon and gravis are not excited because there's a new architecture, but excited because it's faster, cooler, cheaper, better, and offers new possibilities. The M one support was the most asked for thing on our public roadmap, EFA, and we listened and share that we see really exciting possibilities, usership arm applications, all the way from desktop to production. We know that you all use different clouds and different bases have deployed to, um, you know, we work with AWS and Azure and Google and more, um, and we want to help you ship on prime as well. And we know that you use huge number of languages and the containers help build applications that use different languages for different parts of the application or for different applications, right? You can choose the best tool. You have JavaScript hat or everywhere go. And re-ask Python for data and ML, perhaps getting excited about WebAssembly after hearing about a cube con, you know, there's all sorts of things. >>So we need to make that as easier. We've been running the whole month of Python on the blog, and we're doing a month of JavaScript because we had one specific support about how do I best put this language into production of that language into production. That detail is important for you. GPS have been difficult to use. We've added GPS suppose in desktop for windows, but we know there's a lot more to do to make the, how multi architecture, multi hardware, multi accelerator world work better and also securely. Um, so there's a lot more work to do to support you in all these things you want to do. >>How do we start building a tenor has applications, but it turns out we're using existing images as components. I couldn't assist survey earlier this year, almost half of container image usage was public images rather than private images. And this is growing rapidly. Almost all software has open source components and maybe 85% of the average application is open source code. And what you're doing is taking whole container images as modules in your application. And this was always the model with Docker compose. And it's a model that you're already et cetera, writing you trust Docker, official images. We know that they might go to 25% of poles on Docker hub and Docker hub provides you the widest choice and the best support that trusted content. We're talking to people about how to make this more helpful. We know, for example, that winter 69 four is just showing us as support, but the image doesn't yet tell you that we're working with canonical to improve messaging from specific images about left lifecycle and support. >>We know that you need more images, regularly updated free of vulnerabilities, easy to use and discover, and Donnie and Marie neuro, going to talk about that more this last year, the solar winds attack has been in the, in the news. A lot, the software you're using and trusting could be compromised and might be all over your organization. We need to reduce the risk of using vital open-source components. We're seeing more software supply chain attacks being targeted as the supply chain, because it's often an easier place to attack and production software. We need to be able to use this external code safely. We need to, everyone needs to start from trusted sources like photography images. They need to scan for known vulnerabilities using Docker scan that we built in partnership with sneak and lost DockerCon last year, we need just keep updating base images and dependencies, and we'll, we're going to help you have the control and understanding about your images that you need to do this. >>And there's more, we're also working on the nursery V2 project in the CNCF to revamp container signings, or you can tell way or software comes from we're working on tooling to make updates easier, and to help you understand and manage all the principals carrier you're using security is a growing concern for all of us. It's really important. And we're going to help you work with security. We can't achieve all our dreams, whether that's space travel or amazing developer products ever see without deep partnerships with our community to cloud is RA and the cloud providers aware most of you ship your occasion production and simple routes that take your work and deploy it easily. Reliably and securely are really important. Just get into production simply and easily and securely. And we've done a bunch of work on that. And, um, but we know there's more to do. >>The CNCF on the open source cloud native community are an amazing ecosystem of creators and lovely people creating an amazing strong community and supporting a huge amount of innovation has its roots in the container ecosystem and his dreams beyond that much of the innovation is focused around operate experience so far, but developer experience is really a growing concern in that community as well. And we're really excited to work on that. We also uses appraiser tool. Then we know you do, and we know that you want it to be easier to use in your environment. We just shifted Docker hub to work on, um, Kubernetes fully. And, um, we're also using many of the other projects are Argo from atheists. We're spending a lot of time working with Microsoft, Amazon right now on getting natural UV to ready to ship in the next few. That's a really detailed piece of collaboration we've been working on for a long term. Long time is really important for our community as the scarcity of the container containers and, um, getting content for you, working together makes us stronger. Our community is made up of all of you have. Um, it's always amazing to be reminded of that as a huge open source community that we already proud to work with. It's an amazing amount of innovation that you're all creating and where perhaps it, what with you and share with you as well. Thank you very much. And thank you for being here. >>Really excited to talk to you today and share more about what Docker is doing to help make you faster, make your team faster and turn your application delivery into something that makes you a 10 X team. What we're hearing from you, the developers using Docker everyday fits across three common themes that we hear consistently over and over. We hear that your time is super important. It's critical, and you want to move faster. You want your tools to get out of your way, and instead to enable you to accelerate and focus on the things you want to be doing. And part of that is that finding great content, great application components that you can incorporate into your apps to move faster is really hard. It's hard to discover. It's hard to find high quality content that you can trust that, you know, passes your test and your configuration needs. >>And it's hard to create good content as well. And you're looking for more safety, more guardrails to help guide you along that way so that you can focus on creating value for your company. Secondly, you're telling us that it's a really far to collaborate effectively with your team and you want to do more, to work more effectively together to help your tools become more and more seamless to help you stay in sync, both with yourself across all of your development environments, as well as with your teammates so that you can more effectively collaborate together. Review each other's work, maintain things and keep them in sync. And finally, you want your applications to run consistently in every single environment, whether that's your local development environment, a cloud-based development environment, your CGI pipeline, or the cloud for production, and you want that micro service to provide that consistent experience everywhere you go so that you have similar tools, similar environments, and you don't need to worry about things getting in your way, but instead things make it easy for you to focus on what you wanna do and what Docker is doing to help solve all of these problems for you and your colleagues is creating a collaborative app dev platform. >>And this collaborative application development platform consists of multiple different pieces. I'm not going to walk through all of them today, but the overall view is that we're providing all the tooling you need from the development environment, to the container images, to the collaboration services, to the pipelines and integrations that enable you to focus on making your applications amazing and changing the world. If we start zooming on a one of those aspects, collaboration we hear from developers regularly is that they're challenged in synchronizing their own setups across environments. They want to be able to duplicate the setup of their teammates. Look, then they can easily get up and running with the same applications, the same tooling, the same version of the same libraries, the same frameworks. And they want to know if their applications are good before they're ready to share them in an official space. >>They want to collaborate on things before they're done, rather than feeling like they have to officially published something before they can effectively share it with others to work on it, to solve this. We're thrilled today to announce Docker, dev environments, Docker, dev environments, transform how your team collaborates. They make creating, sharing standardized development environments. As simple as a Docker poll, they make it easy to review your colleagues work without affecting your own work. And they increase the reproducibility of your own work and decreased production issues in doing so because you've got consistent environments all the way through. Now, I'm going to pass it off to our principal product manager, Ben Gotch to walk you through more detail on Docker dev environments. >>Hi, I'm Ben. I work as a principal program manager at DACA. One of the areas that doc has been looking at to see what's hard today for developers is sharing changes that you make from the inner loop where the inner loop is a better development, where you write code, test it, build it, run it, and ultimately get feedback on those changes before you merge them and try and actually ship them out to production. Most amount of us build this flow and get there still leaves a lot of challenges. People need to jump between branches to look at each other's work. Independence. Dependencies can be different when you're doing that and doing this in this new hybrid wall of work. Isn't any easier either the ability to just save someone, Hey, come and check this out. It's become much harder. People can't come and sit down at your desk or take your laptop away for 10 minutes to just grab and look at what you're doing. >>A lot of the reason that development is hard when you're remote, is that looking at changes and what's going on requires more than just code requires all the dependencies and everything you've got set up and that complete context of your development environment, to understand what you're doing and solving this in a remote first world is hard. We wanted to look at how we could make this better. Let's do that in a way that let you keep working the way you do today. Didn't want you to have to use a browser. We didn't want you to have to use a new idea. And we wanted to do this in a way that was application centric. We wanted to let you work with all the rest of the application already using C for all the services and all those dependencies you need as part of that. And with that, we're excited to talk more about docket developer environments, dev environments are new part of the Docker experience that makes it easier you to get started with your whole inner leap, working inside a container, then able to share and collaborate more than just the code. >>We want it to enable you to share your whole modern development environment, your whole setup from DACA, with your team on any operating system, we'll be launching a limited beta of dev environments in the coming month. And a GA dev environments will be ID agnostic and supporting composts. This means you'll be able to use an extend your existing composed files to create your own development environment in whatever idea, working in dev environments designed to be local. First, they work with Docker desktop and say your existing ID, and let you share that whole inner loop, that whole development context, all of your teammates in just one collect. This means if you want to get feedback on the working progress change or the PR it's as simple as opening another idea instance, and looking at what your team is working on because we're using compose. You can just extend your existing oppose file when you're already working with, to actually create this whole application and have it all working in the context of the rest of the services. >>So it's actually the whole environment you're working with module one service that doesn't really understand what it's doing alone. And with that, let's jump into a quick demo. So you can see here, two dev environments up and running. First one here is the same container dev environment. So if I want to go into that, let's see what's going on in the various code button here. If that one open, I can get straight into my application to start making changes inside that dev container. And I've got all my dependencies in here, so I can just run that straight in that second application I have here is one that's opened up in compose, and I can see that I've also got my backend, my front end and my database. So I've got all my services running here. So if I want, I can open one or more of these in a dev environment, meaning that that container has the context that dev environment has the context of the whole application. >>So I can get back into and connect to all the other services that I need to test this application properly, all of them, one unit. And then when I've made my changes and I'm ready to share, I can hit my share button type in the refund them on to share that too. And then give that image to someone to get going, pick that up and just start working with that code and all my dependencies, simple as putting an image, looking ahead, we're going to be expanding development environments, more of your dependencies for the whole developer worst space. We want to look at backing up and letting you share your volumes to make data science and database setups more repeatable and going. I'm still all of this under a single workspace for your team containing images, your dev environments, your volumes, and more we've really want to allow you to create a fully portable Linux development environment. >>So everyone you're working with on any operating system, as I said, our MVP we're coming next month. And that was for vs code using their dev container primitive and more support for other ideas. We'll follow to find out more about what's happening and what's coming up next in the future of this. And to actually get a bit of a deeper dive in the experience. Can we check out the talk I'm doing with Georgie and girl later on today? Thank you, Ben, amazing story about how Docker is helping to make developer teams more collaborative. Now I'd like to talk more about applications while the dev environment is like the workbench around what you're building. The application itself has all the different components, libraries, and frameworks, and other code that make up the application itself. And we hear developers saying all the time things like, how do they know if their images are good? >>How do they know if they're secure? How do they know if they're minimal? How do they make great images and great Docker files and how do they keep their images secure? And up-to-date on every one of those ties into how do I create more trust? How do I know that I'm building high quality applications to enable you to do this even more effectively than today? We are pleased to announce the DACA verified polisher program. This broadens trusted content by extending beyond Docker official images, to give you more and more trusted building blocks that you can incorporate into your applications. It gives you confidence that you're getting what you expect because Docker verifies every single one of these publishers to make sure they are who they say they are. This improves our secure supply chain story. And finally it simplifies your discovery of the best building blocks by making it easy for you to find things that you know, you can trust so that you can incorporate them into your applications and move on and on the right. You can see some examples of the publishers that are involved in Docker, official images and our Docker verified publisher program. Now I'm pleased to introduce you to marina. Kubicki our senior product manager who will walk you through more about what we're doing to create a better experience for you around trust. >>Thank you, Dani, >>Mario Andretti, who is a famous Italian sports car driver. One said that if everything feels under control, you're just not driving. You're not driving fast enough. Maya Andretti is not a software developer and a software developers. We know that no matter how fast we need to go in order to drive the innovation that we're working on, we can never allow our applications to spin out of control and a Docker. As we continue talking to our, to the developers, what we're realizing is that in order to reach that speed, the developers are the, the, the development community is looking for the building blocks and the tools that will, they will enable them to drive at the speed that they need to go and have the trust in those building blocks. And in those tools that they will be able to maintain control over their applications. So as we think about some of the things that we can do to, to address those concerns, uh, we're realizing that we can pursue them in a number of different venues, including creating reliable content, including creating partnerships that expands the options for the reliable content. >>Um, in order to, in a we're looking at creating integrations, no link security tools, talk about the reliable content. The first thing that comes to mind are the Docker official images, which is a program that we launched several years ago. And this is a set of curated, actively maintained, open source images that, uh, include, uh, operating systems and databases and programming languages. And it would become immensely popular for, for, for creating the base layers of, of the images of, of the different images, images, and applications. And would we realizing that, uh, many developers are, instead of creating something from scratch, basically start with one of the official images for their basis, and then build on top of that. And this program has become so popular that it now makes up a quarter of all of the, uh, Docker poles, which essentially ends up being several billion pulse every single month. >>As we look beyond what we can do for the open source. Uh, we're very ability on the open source, uh, spectrum. We are very excited to announce that we're launching the Docker verified publishers program, which is continuing providing the trust around the content, but now working with, uh, some of the industry leaders, uh, in multiple, in multiple verticals across the entire technology technical spec, it costs entire, uh, high tech in order to provide you with more options of the images that you can use for building your applications. And it still comes back to trust that when you are searching for content in Docker hub, and you see the verified publisher badge, you know, that this is, this is the content that, that is part of the, that comes from one of our partners. And you're not running the risk of pulling the malicious image from an employee master source. >>As we look beyond what we can do for, for providing the reliable content, we're also looking at some of the tools and the infrastructure that we can do, uh, to create a security around the content that you're creating. So last year at the last ad, the last year's DockerCon, we announced partnership with sneak. And later on last year, we launched our DACA, desktop and Docker hub vulnerability scans that allow you the options of writing scans in them along multiple points in your dev cycle. And in addition to providing you with information on the vulnerability on, on the vulnerabilities, in, in your code, uh, it also provides you with a guidance on how to re remediate those vulnerabilities. But as we look beyond the vulnerability scans, we're also looking at some of the other things that we can do, you know, to, to, to, uh, further ensure that the integrity and the security around your images, your images, and with that, uh, later on this year, we're looking to, uh, launch the scope, personal access tokens, and instead of talking about them, I will simply show you what they look like. >>So if you can see here, this is my page in Docker hub, where I've created a four, uh, tokens, uh, read-write delete, read, write, read only in public read in public creeper read only. So, uh, earlier today I went in and I, I logged in, uh, with my read only token. And when you see, when I'm going to pull an image, it's going to allow me to pull an image, not a problem success. And then when I do the next step, I'm going to ask to push an image into the same repo. Uh, would you see is that it's going to give me an error message saying that they access is denied, uh, because there is an additional authentication required. So these are the things that we're looking to add to our roadmap. As we continue thinking about the things that we can do to provide, um, to provide additional building blocks, content, building blocks, uh, and, and, and tools to build the trust so that our DACA developer and skinned code faster than Mario Andretti could ever imagine. Uh, thank you to >>Thank you, marina. It's amazing what you can do to improve the trusted content so that you can accelerate your development more and move more quickly, move more collaboratively and build upon the great work of others. Finally, we hear over and over as that developers are working on their applications that they're looking for, environments that are consistent, that are the same as production, and that they want their applications to really run anywhere, any environment, any architecture, any cloud one great example is the recent announcement of apple Silicon. We heard from developers on uproar that they needed Docker to be available for that architecture before they could add those to it and be successful. And we listened. And based on that, we are pleased to share with you Docker, desktop on apple Silicon. This enables you to run your apps consistently anywhere, whether that's developing on your team's latest dev hardware, deploying an ARM-based cloud environments and having a consistent architecture across your development and production or using multi-year architecture support, which enables your whole team to collaborate on its application, using private repositories on Docker hub, and thrilled to introduce you to Hughie cower, senior director for product management, who will walk you through more of what we're doing to create a great developer experience. >>Senior director of product management at Docker. And I'd like to jump straight into a demo. This is the Mac mini with the apple Silicon processor. And I want to show you how you can now do an end-to-end arm workflow from my M one Mac mini to raspberry PI. As you can see, we have vs code and Docker desktop installed on a, my, the Mac mini. I have a small example here, and I have a raspberry PI three with an led strip, and I want to turn those LEDs into a moving rainbow. This Dockerfile here, builds the application. We build the image with the Docker, build X command to make the image compatible for all raspberry pies with the arm. 64. Part of this build is built with the native power of the M one chip. I also add the push option to easily share the image with my team so they can give it a try to now Dr. >>Creates the local image with the application and uploads it to Docker hub after we've built and pushed the image. We can go to Docker hub and see the new image on Docker hub. You can also explore a variety of images that are compatible with arm processors. Now let's go to the raspberry PI. I have Docker already installed and it's running Ubuntu 64 bit with the Docker run command. I can run the application and let's see what will happen from there. You can see Docker is downloading the image automatically from Docker hub and when it's running, if it's works right, there are some nice colors. And with that, if we have an end-to-end workflow for arm, where continuing to invest into providing you a great developer experience, that's easy to install. Easy to get started with. As you saw in the demo, if you're interested in the new Mac, mini are interested in developing for our platforms in general, we've got you covered with the same experience you've come to expect from Docker with over 95,000 arm images on hub, including many Docker official images. >>We think you'll find what you're looking for. Thank you again to the community that helped us to test the tech previews. We're so delighted to hear when folks say that the new Docker desktop for apple Silicon, it just works for them, but that's not all we've been working on. As Dani mentioned, consistency of developer experience across environments is so important. We're introducing composed V2 that makes compose a first-class citizen in the Docker CLI you no longer need to install a separate composed biter in order to use composed, deploying to production is simpler than ever with the new compose integration that enables you to deploy directly to Amazon ECS or Azure ACI with the same methods you use to run your application locally. If you're interested in running slightly different services, when you're debugging versus testing or, um, just general development, you can manage that all in one place with the new composed service to hear more about what's new and Docker desktop, please join me in the three 15 breakout session this afternoon. >>And now I'd love to tell you a bit more about bill decks and convince you to try it. If you haven't already it's our next gen build command, and it's no longer experimental as shown in the demo with built X, you'll be able to do multi architecture builds, share those builds with your team and the community on Docker hub. With build X, you can speed up your build processes with remote caches or build all the targets in your composed file in parallel with build X bake. And there's so much more if you're using Docker, desktop or Docker, CE you can use build X checkout tonus is talk this afternoon at three 45 to learn more about build X. And with that, I hope everyone has a great Dr. Khan and back over to you, Donnie. >>Thank you UA. It's amazing to hear about what we're doing to create a better developer experience and make sure that Docker works everywhere you need to work. Finally, I'd like to wrap up by showing you everything that we've announced today and everything that we've done recently to make your lives better and give you more and more for the single price of your Docker subscription. We've announced the Docker verified publisher program we've announced scoped personal access tokens to make it easier for you to have a secure CCI pipeline. We've announced Docker dev environments to improve your collaboration with your team. Uh, we shared with you Docker, desktop and apple Silicon, to make sure that, you know, Docker runs everywhere. You need it to run. And we've announced Docker compose version two, finally making it a first-class citizen amongst all the other great Docker tools. And we've done so much more recently as well from audit logs to advanced image management, to compose service profiles, to improve where you can run Docker more easily. >>Finally, as we look forward, where we're headed in the upcoming year is continuing to invest in these themes of helping you build, share, and run modern apps more effectively. We're going to be doing more to help you create a secure supply chain with which only grows more and more important as time goes on. We're going to be optimizing your update experience to make sure that you can easily understand the current state of your application, all its components and keep them all current without worrying about breaking everything as you're doing. So we're going to make it easier for you to synchronize your work. Using cloud sync features. We're going to improve collaboration through dev environments and beyond, and we're going to do make it easy for you to run your microservice in your environments without worrying about things like architecture or differences between those environments. Thank you so much. I'm thrilled about what we're able to do to help make your lives better. And now you're going to be hearing from one of our customers about what they're doing to launch their business with Docker >>I'm Matt Falk, I'm the head of engineering and orbital insight. And today I want to talk to you a little bit about data from space. So who am I like many of you, I'm a software developer and a software developer about seven companies so far, and now I'm a head of engineering. So I spend most of my time doing meetings, but occasionally I'll still spend time doing design discussions, doing code reviews. And in my free time, I still like to dabble on things like project oiler. So who's Oberlin site. What do we do? Portal insight is a large data supplier and analytics provider where we take data geospatial data anywhere on the planet, any overhead sensor, and translate that into insights for the end customer. So specifically we have a suite of high performance, artificial intelligence and machine learning analytics that run on this geospatial data. >>And we build them to specifically determine natural and human service level activity anywhere on the planet. What that really means is we take any type of data associated with a latitude and longitude and we identify patterns so that we can, so we can detect anomalies. And that's everything that we do is all about identifying those patterns to detect anomalies. So more specifically, what type of problems do we solve? So supply chain intelligence, this is one of the use cases that we we'd like to talk about a lot. It's one of our main primary verticals that we go after right now. And as Scott mentioned earlier, this had a huge impact last year when COVID hit. So specifically supply chain intelligence is all about identifying movement patterns to and from operating facilities to identify changes in those supply chains. How do we do this? So for us, we can do things where we track the movement of trucks. >>So identifying trucks, moving from one location to another in aggregate, same thing we can do with foot traffic. We can do the same thing for looking at aggregate groups of people moving from one location to another and analyzing their patterns of life. We can look at two different locations to determine how people are moving from one location to another, or going back and forth. All of this is extremely valuable for detecting how a supply chain operates and then identifying the changes to that supply chain. As I said last year with COVID, everything changed in particular supply chains changed incredibly, and it was hugely important for customers to know where their goods or their products are coming from and where they were going, where there were disruptions in their supply chain and how that's affecting their overall supply and demand. So to use our platform, our suite of tools, you can start to gain a much better picture of where your suppliers or your distributors are going from coming from or going to. >>So what's our team look like? So my team is currently about 50 engineers. Um, we're spread into four different teams and the teams are structured like this. So the first team that we have is infrastructure engineering and this team largely deals with deploying our Dockers using Kubernetes. So this team is all about taking Dockers, built by other teams, sometimes building the Dockers themselves and putting them into our production system, our platform engineering team, they produce these microservices. So they produce microservice, Docker images. They develop and test with them locally. Their entire environments are dockerized. They produce these doctors, hand them over to him for infrastructure engineering to be deployed. Similarly, our product engineering team does the same thing. They develop and test with Dr. Locally. They also produce a suite of Docker images that the infrastructure team can then deploy. And lastly, we have our R and D team, and this team specifically produces machine learning algorithms using Nvidia Docker collectively, we've actually built 381 Docker repositories and 14 million. >>We've had 14 million Docker pools over the lifetime of the company, just a few stats about us. Um, but what I'm really getting to here is you can see actually doctors becoming almost a form of communication between these teams. So one of the paradigms in software engineering that you're probably familiar with encapsulation, it's really helpful for a lot of software engineering problems to break the problem down, isolate the different pieces of it and start building interfaces between the code. This allows you to scale different pieces of the platform or different pieces of your code in different ways that allows you to scale up certain pieces and keep others at a smaller level so that you can meet customer demands. And for us, one of the things that we can largely do now is use Dockers as that interface. So instead of having an entire platform where all teams are talking to each other, and everything's kind of, mishmashed in a monolithic application, we can now say this team is only able to talk to this team by passing over a particular Docker image that defines the interface of what needs to be built before it passes to the team and really allows us to scalp our development and be much more efficient. >>Also, I'd like to say we are hiring. Um, so we have a number of open roles. We have about 30 open roles in our engineering team that we're looking to fill by the end of this year. So if any of this sounds really interesting to you, please reach out after the presentation. >>So what does our platform do? Really? Our platform allows you to answer any geospatial question, and we do this at three different inputs. So first off, where do you want to look? So we did this as what we call an AOI or an area of interest larger. You can think of this as a polygon drawn on the map. So we have a curated data set of almost 4 million AOIs, which you can go and you can search and use for your analysis, but you're also free to build your own. Second question is what you want to look for. We do this with the more interesting part of our platform of our machine learning and AI capabilities. So we have a suite of algorithms that automatically allow you to identify trucks, buildings, hundreds of different types of aircraft, different types of land use, how many people are moving from one location to another different locations that people in a particular area are moving to or coming from all of these different analyses or all these different analytics are available at the click of a button, and then determine what you want to look for. >>Lastly, you determine when you want to find what you're looking for. So that's just, uh, you know, do you want to look for the next three hours? Do you want to look for the last week? Do you want to look every month for the past two, whatever the time cadence is, you decide that you hit go and out pops a time series, and that time series tells you specifically where you want it to look what you want it to look for and how many, or what percentage of the thing you're looking for appears in that area. Again, we do all of this to work towards patterns. So we use all this data to produce a time series from there. We can look at it, determine the patterns, and then specifically identify the anomalies. As I mentioned with supply chain, this is extremely valuable to identify where things change. So we can answer these questions, looking at a particular operating facility, looking at particular, what is happening with the level of activity is at that operating facility where people are coming from, where they're going to, after visiting that particular facility and identify when and where that changes here, you can just see it's a picture of our platform. It's actually showing all the devices in Manhattan, um, over a period of time. And it's more of a heat map view. So you can actually see the hotspots in the area. >>So really the, and this is the heart of the talk, but what happened in 2020? So for men, you know, like many of you, 2020 was a difficult year COVID hit. And that changed a lot of what we're doing, not from an engineering perspective, but also from an entire company perspective for us, the motivation really became to make sure that we were lowering our costs and increasing innovation simultaneously. Now those two things often compete with each other. A lot of times you want to increase innovation, that's going to increase your costs, but the challenge last year was how to do both simultaneously. So here's a few stats for you from our team. In Q1 of last year, we were spending almost $600,000 per month on compute costs prior to COVID happening. That wasn't hugely a concern for us. It was a lot of money, but it wasn't as critical as it was last year when we really needed to be much more efficient. >>Second one is flexibility for us. We were deployed on a single cloud environment while we were cloud thought ready, and that was great. We want it to be more flexible. We want it to be on more cloud environments so that we could reach more customers. And also eventually get onto class side networks, extending the base of our customers as well from a custom analytics perspective. This is where we get into our traction. So last year, over the entire year, we computed 54,000 custom analytics for different users. We wanted to make sure that this number was steadily increasing despite us trying to lower our costs. So we didn't want the lowering cost to come as the sacrifice of our user base. Lastly, of particular percentage here that I'll say definitely needs to be improved is 75% of our projects never fail. So this is where we start to get into a bit of stability of our platform. >>Now I'm not saying that 25% of our projects fail the way we measure this is if you have a particular project or computation that runs every day and any one of those runs sale account, that is a failure because from an end-user perspective, that's an issue. So this is something that we know we needed to improve on and we needed to grow and make our platform more stable. I'm going to something that we really focused on last year. So where are we now? So now coming out of the COVID valley, we are starting to soar again. Um, we had, uh, back in April of last year, we had the entire engineering team. We actually paused all development for about four weeks. You had everyone focused on reducing our compute costs in the cloud. We got it down to 200 K over the period of a few months. >>And for the next 12 months, we hit that number every month. This is huge for us. This is extremely important. Like I said, in the COVID time period where costs and operating efficiency was everything. So for us to do that, that was a huge accomplishment last year and something we'll keep going forward. One thing I would actually like to really highlight here, two is what allowed us to do that. So first off, being in the cloud, being able to migrate things like that, that was one thing. And we were able to use there's different cloud services in a more particular, in a more efficient way. We had a very detailed tracking of how we were spending things. We increased our data retention policies. We optimized our processing. However, one additional piece was switching to new technologies on, in particular, we migrated to get lab CICB. >>Um, and this is something that the costs we use Docker was extremely, extremely easy. We didn't have to go build new new code containers or repositories or change our code in order to do this. We were simply able to migrate the containers over and start using a new CIC so much. In fact, that we were able to do that migration with three engineers in just two weeks from a cloud environment and flexibility standpoint, we're now operating in two different clouds. We were able to last night, I've over the last nine months to operate in the second cloud environment. And again, this is something that Docker helped with incredibly. Um, we didn't have to go and build all new interfaces to all new, different services or all different tools in the next cloud provider. All we had to do was build a base cloud infrastructure that ups agnostic the way, all the different details of the cloud provider. >>And then our doctors just worked. We can move them to another environment up and running, and our platform was ready to go from a traction perspective. We're about a third of the way through the year. At this point, we've already exceeded the amount of customer analytics we produce last year. And this is thanks to a ton more albums, that whole suite of new analytics that we've been able to build over the past 12 months and we'll continue to build going forward. So this is really, really great outcome for us because we were able to show that our costs are staying down, but our analytics and our customer traction, honestly, from a stability perspective, we improved from 75% to 86%, not quite yet 99 or three nines or four nines, but we are getting there. Um, and this is actually thanks to really containerizing and modularizing different pieces of our platform so that we could scale up in different areas. This allowed us to increase that stability. This piece of the code works over here, toxin an interface to the rest of the system. We can scale this piece up separately from the rest of the system, and that allows us much more easily identify issues in the system, fix those and then correct the system overall. So basically this is a summary of where we were last year, where we are now and how much more successful we are now because of the issues that we went through last year and largely brought on by COVID. >>But that this is just a screenshot of the, our, our solution actually working on supply chain. So this is in particular, it is showing traceability of a distribution warehouse in salt lake city. It's right in the center of the screen here. You can see the nice kind of orange red center. That's a distribution warehouse and all the lines outside of that, all the dots outside of that are showing where people are, where trucks are moving from that location. So this is really helpful for supply chain companies because they can start to identify where their suppliers are, are coming from or where their distributors are going to. So with that, I want to say, thanks again for following along and enjoy the rest of DockerCon.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel AWS and our community partners. Welcome to the cubes Coverage of AWS reinvent 2020. The digital version I'm Lisa Martin and I'm joined by a couple of guests from Unisys. Please welcome unprompted high BP and Cloud CTO on income. Great to have you on the program. Thanks for joining me today. >>Great to be here leader >>and a new pre or a new Ram Raj, VP of Cloud Services. A new welcome. Great to have you on a swell. Great >>to be here in this virtual AWS being that great. >>Thank you. Very socially Distance We're following all the guidelines here. A new Let's start with you. I'd love to get just kind of Ah, you know, a vision of the AWS Unisys partnership. I know you guys are advanced consulting partner MSP. Tell me about that partnership. >>Absolutely. Lisa, we see our clients on a cloud journey which we accelerate with Unisys Cloud Services and AWS partnership is a big piece of that again. Way thorough. We have bean rated in aws MSP partner Come out very, very highly from those msb audited our, uh and we're investing in multiple competencies across the boat as well. So and we work very closely with AWS in terms off innovating in sharing our platform cloud 44 world map In looking at what our customers looking around the corner, what services could be co developed. So we're looking at some potential I o T engagements to jointly with AWS is, well, eso you're always co inventing and it's a great partnership with a W s >>excellent. And you let's stick with you Following on hybrid Cloud Journey you mentioned the Cloud Forte platform. I wanted to understand what that platform is, how your co developing that with AWS and how your customers are benefiting >>absolutely s. Um, every year Unisys does a cloud barometer study across thousands of our clients and and we got some interesting takeaways from that. Essentially two thirds of her clients that have started this cloud journey believe they don't really realize the benefits out of that and up thio 53% off. The the respondents said they needed some help with cloud security. And this is where I believe that Unisys Cloud Services has a strong viewpoint and can find their AWS, um, journey, no matter where, what challenges they're facing, whether it's budgetary challenges on optimizing AWS and whether it's getting I t operations right when you move your applications to AWS. Um, and is it is it getting the that I have seen cops models established? So no matter where clients are in the A journey, we look to accelerate with our set of solutions and services, and we're very proud about the fact that we respond very me to make sure our clients can innovate and achieve the business outcomes that they need. For example, with California Stink City, we were able to work with them on the AWS. John Pretty set up a native other lake and analytics on top of it so we could actually predict and influence graduation rates with students. Our scores are higher than any off are coming because of the outcomes that we deliver for our clients. And it's really about business outcomes and 40 platform, which helps us drive those outcomes. I mean, probably do you want to add on without cloud 40 platform? >>Sure, I know eso, as as I knew was saying cloud for the platform provides AH set off capabilities that allows us to create an offer highly differentiated services with Unisys Pipe and, as was mentioned earlier, our cloud solutions are are able to help customers no matter where they are in their car, in their cloud journeys, whether it's ah Greenfield opportunity, where they where the customers are intending to move to the cloud, or if it's a brownfield opportunity where they already have adopted the cloud and are looking to manage and operate and optimize their deployments. Cloud Forte Platform and our Cloud Solutions are able to provide, uh, customized solution for that customer context to really deliver the solution that addresses some of the pain points that you talked about. The keeping points really relate to security to get secured. It also relates to cost optimization and then optimizing the cloud purse, a cloud deployment hybrid cloud deployment of the key requirement. So our cloud 40 platform health drives the key use cases. The key pain points that our customers are looking for through a combination off accelerators, the number of cloud photo accelerators that enable customers to rapidly prove it provisioned customers and to rapidly migrate to the cloud with God rails so that they're the secure, their compliant. And then we've got the the Cloud Cloud 40 Cloud management platform for ensuring provisioning onda management and operations, along with cost optimization capabilities and the eyelid operations. So it's a comprehensive suite off services and solutions that addresses the key business outcomes. There are customers are are looking for >>outcomes. Focused is absolutely critical, especially these days. I knew I wanted to go back to you for a second. You talked about the Unisys Barometer study, and I like the name of that. When was that done? And I'm just wondering if there are certain things that you saw this year from a customer. Cloud journey. Need perspective because of the pandemic that have really influenced that barometer >>Wait Question. Hey said and development is study. The last version of it was done late last year, and we're still waiting on the ones from this year. So, but we're starting to see some of the trends that were influenced by the pandemic. We saw rush to cloud when the pandemic hit because business adopt to to remote workers to do more digital selling and then seeing our CEO is kind of struggle with optimizing and maximizing the results off their cloud. Spend right, So So that's a unique challenge that that we're seeing based on our tryingto interaction. So the rush to the cloud and the ask for more spend optimization and in terms of spend optimization, that's an interesting facet because, uh, it cuts through my multiple angles. It's it's cuts through having the platforms around, being able to dio right predictions on where you spend is going, and then it also it's across collaborative effort. Finn ops. As we see it, we call it as a synopsis of is that we bring to our clients it's passing with multiple organizations, including finance, to sometimes figure out. Where will this business be? Where should you spend be? What should be the reserved instance buys right. So combining cloud knowledge with financial knowledge and organizational and business knowledge. And that's the service that we bring to our clients with our phenoms services. At least a great question about how how is I kind of making the current business climate affecting our operating models? Um, like we said, there's increased ask for Finn ops is an increase. Ask for security ops because security threats have only amplified. And then the entire cloud ups model. I think hybrid cloud operations its's prompted us to rethink a lot off. How do we do? I t operations and and we're investing a lot in terms of automation and then underpinning that by ai led operation. So, um, you talked about the client management platform making sure we've got the best automation and processes which are repeatable around all the way from just doing provisioning to data operations to optimization. Just making all of that robust and repeatable um, is such a value. Add to clients because then they can see SOS can sleep at night knowing that everything is taken care off and, uh, the CIA, the CEOs can be rest assured that hey, they're not going to get that AWS bill that's going to make them hit the roof. So making sure we've got the right checks and balances and approval flow is all a part of our child management platform. And at that point, I know you really passionate AI and the role that it plays in operations and the entire cloud management platform and cloud for day platform So your thoughts in the poem? >>Yes, sir. No, thank you. But so yeah, yeah, I led operations is really part off the bigger question and the pain point that customers are faced with, which is I've reached the cloud. Now, how do I optimized and get benefits from the cloud on the benefits is around. You know, uh, utility for on demand access to resource is, uh, this cost optimization potential and the security, uh, cloud security potential that, if not managed properly, can really blow up in the face. And unfortunately, you know that in the case on the AI ops led Operation Side, that's again a huge foretell area where Unisys Investor is investing a lot off a lot off i p and creating a lot of differentiation. And the objective there is to ask Customers adopt cloud for day as they adopt Unisys Cloud services. They're able to take advantage off cost optimization capabilities, which essentially looks at historical usage on predicts future usage, based on a number off a I artificial intelligence and machine learning technologies that that is able to give you predictions that otherwise very hard to hard to get and, uh, in the cloud environment because of the sheer velocity volume and variety of the data. Doing that in a manual fashion is very, very hard. So automated machine learning driven approach is very productive is very effective on, you know, some of the outcomes that we've achieved is is just amazing. We've been able to save up to 25% off infrastructure costs through the island operations. About 40% off infrastructure incidents have bean reduced due to root cause analysis. Eso onda up to 35% off meantime, to resolution improvements in time. So huge customer benefits driven by e I led operations. The I am a approaches to following the problem. >>Let me see him If I could stick with you for a second big numbers that you just talked about and we talked a few minutes ago about outcomes. It's all about outcomes right now with this rush to cloud as as a new set. And we talked about this on the Cuba all the time. We've seen that the last eight months there is an acceleration of this digital transformation. I'm just curious una come from your perspective as the VP and CTO cloud how are you? What are some of the things that you advise customers to do if they need to rush to the cloud 21 just, you know, move their business quickly and not have the stay on life support. What are some of the things that you advise them to do when they're in this? Maybe a few months ago, when they were in the beginning of this? >>Yeah, that's that's a very interesting question, and lot off our clients are faced with that question as they either they're already in the cloud or the deciding to migrate to the cloud on the whole journey. Customer journeys for either stepping on the cloud or managing and operating the optimizing the cloud deployments is very key. So if you look at the market research that's out there and what we hear from our customers, the key challenges are really, really around. How do I migrate to the cloud without facing a lot of bottlenecks and challenges, and how do I overcome them? So that's the keeping pain point and again cloud for the advisory services and the cloud services that we offer allows customers to take up uh, toe work with us, and we work with the customer to ensure that they're able to do that on and then rapidly migrating to the cloud, managing and operating their operations. The hybrid cloud operations in optimized fashion is a huge challenge. How do they migrate? How do they migrate with security and compliance not being compromised once they're in the cloud, ensuring cloud security is and compliance is is maintained. Ensuring that the cost structure is is optimized so that they're not being mawr wants to move to the cloud compared to on premises and and then taking advantage of the whole cloud. Deployments to ensure you're looking at data are nothing the data to derive meaningful business outcomes. So if the entire end to end customer journey that needs to be looked at optimized. And that's where Unisys comes in with a cloud for the platform where we work with the customers to enhance the journeys. And in this case I want to mention CSU, which is, uh, the California State University, where the approach Unisys to really work with them to deliver uh, cloud services by enhancing the the objective was to enhance the student learning experience to enable adoption off off the technology by the students but also to achieve better performance, better adoption cost savings on we were able to deliver about 30% better performance help realize about 30 33% savings on 40% plus growth in adoption. On this was for about half a million student bodies. The 50,000 plus faculty staff spread across 23 campuses. So deploying, optimizing on and managing the infrastructure is something that Unisys does. Does that. And this is an example of that. I know you want to add anything to that. >>Absolutely Any Permanente's really well and, >>uh, >>it Z also securing, making sure securities with the >>journey >>it Z O Keefe or hybrid cloud. Um, uh, at least I'm sure you're aware of the Unisys tagline is securing tomorrow. So who better s so we really, really take that really, really seriously in terms of making sure we seek clients cloud journeys, and >>you >>probably heard the statistic from her. About 80% off cloud breaches are due to mis configuration, and this could have bean prevented. And and it doesn't. There's an element of the human angle in there. You believe strongly that can automate using our platform. So we've got 2000 plus security policies, which makes sure which again enables our clients to be compliant as well. So no matter what compliant standards, we've got several off our clients, for example, in the financial sector that are hosted on AWS and that we managed and they have to, especially the US They have to comply with Y de f s, the New York Department of Financial Services and making sure that they compliant with all the standards out there, which is next plus plus in this case. So that's part of what we do and enabling those journeys and then just keeping up with the rate of change like on different was talking about the variety and velocity of the data and and the rate of change of the applications out there, especially as businesses react to the pandemic and have to cope with the changing business paradigms out there. They have to be quick. Um, so we've got a drugmaker, one of the most premium drug makers in the US, who is who is against it on AWS, and, uh, they're racing for the cure and they are always looking at How do they get drugs quicker to the market? And that means accelerating applications. And we know that based on research by the Dora study, that if you adopt develops paradigms, you can accelerate 200 times faster than if you didn't. But then you have to underpin backward security as well. So really helping this adopt deaths are cops in all their deployments to AWS so that they can really race for the cure. That's the kind of business outcomes that we really, uh, are really, really proud to drive for our clients. >>Excellent on a pound. Let's wrap this up with you. We've just got about 30 seconds left sticking on the security front. It's such a huge topic right now. It has been for a long time, but even more so during these unprecedented times when you're talking with customers, what makes Unisys unique from a security perspective? >>So first thing is to understand what it takes to solve the hybrid cloud security problem. Like you said earlier, that's the biggest pain point that we hear from customers from our clients on. It's all over the market research all the breaches that have happened, like the zoom breach that happened that compromised about half a million, you know, user log ins. And then there was also the the Marriott breach, where about half a billion users names and credential for legal legal. So it Zaveri easy for customers, potential customers to become like a headline. And our our job really are the companies to make sure that they're not the next capital one or the next Marriott, uh, showing up in the newspaper. So we kind of look at their customer deployments situation on. We put together a comprehensive into an hybrid cloud solution, hybrid cloud security and compliance solution that includes look, securing their cloud infrastructure, their cloud workloads in terms of applications that they might have secured, and also to look at securing their applications, which may or may not be running on the cloud. So we kind of take a very holistic approach, using our homegrown solutions and partner solutions to create a comprehensive, robust hybrid cloud solution that really fits the customer context and and so we we are essentially a trusted adviser for our for our clients to create the solution, which again, at the cloud 40 ashore, which is a cloud security posture management solution. We have a cloud worker protection solution on then stealth, which is a full stack security solution if combined together with the other cloud Forte platform components on. We wrap this up in a matter of security services offering that allows US customers to have complete peace of mind as we take care off assessment remediation monitoring on, then continues Posture, posture, management. I know. Do you want to add anything to that? >>If I'm think in terms of closing, I think like you covered it well, we've got platform competence and services that run the gamut off the off the life cycle from migrations to two transformations. And one thing that I think in terms of outcomes of these, uh, when the service built around it have really helped us. Dr is, um is kind of responding especially to our public sector clients, very passionate about enabling cloud journeys for our public sector clients. And we'll take the example of Georgia Technology s So this is the G t A. Is the technology agency for all services are 14 of the agencies in Georgia and many of these public sector agencies had to quickly adopt cloud to deal with the report workers. Whether it was v D I whether it was chatbots on cloud, um, it was it was, ah, brand new world out there, the new normal. And it was just using the cloud management platform that anyone was refering to. We were able to kind of take them from taking three months. Plus to be able to provision workloads Thio thio less than 30 minutes to provision workloads. And this is this is across hybrid cloud. So and this is >>a big outcome, especially in this time where things were changing so quickly. Well, I wish we had more time, guys because I could tell you have a lot more that you can share. You're just gonna have to come back. And I like that. The tagline securing tomorrow. Adding on to what Anu Pump said So your customers don't become the next headline. I think they would all appreciate that. Thank you both. So much for joining me on the Cube today and sharing what's the latest with Unisys. We appreciate your time. Thank you. Thank >>you for having us >>aren't my pleasure for my guests. I'm Lisa Martin. And you're watching the Cube? Yeah,

>> Announcer: From around the globe, it's theCUBE, with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Worldwide Public Sector. >> Welcome to theCUBE Virtual and our coverage of AWS re:Invent 2020, the specialized programming for Worldwide Public Sector. I'm Lisa Martin. I'm joined by Nick Speece the chief federal technologist for Snowflake. Nick, welcome to theCUBE. >> Thank you, Lisa. It's great to be here. >> Likewise, chief federal technologist, that's the first time I've ever heard of that title. Tell me a little bit about that. >> It's probably the last time you'll hear it. So chief federal technologist is really somebody in the company who is focused on bringing the needs of the federal government back to our corporate headquarters, making sure that the product as it's developed and evolves has the federal requirements in mind. >> Excellent. So the last couple of months for Snowflake big, biggest software IPO and software history your market cap right now is at 66 billion 515 data workloads running on Snowflake's platform every day 250 petabytes of data under management, a lot is going on. Let's talk about Snowflake. You guys operate only in the cloud, why was that decision made and how does that impact businesses analysis of data? >> Yeah, so great question and the answer is actually in the opening that you gave for us and thank you for that reinforcement. Snowflake can't exist anywhere, but the cloud. Technology over the last five to 10 years has really seen a move from what the cloud originally was, which was I have a virtual machine in my data center, I'm going to run it on your stuff not mine, into more comprehensive service offerings like Snowflake. We can't reach the kind of scale that Snowflake operates at every day and that our customers demand without the technology of clouds like AWS. The technology has to be there, the underlying and underpinning architecture has to be there, otherwise our customers get left in the dark and we can't can't have that. >> And especially today as data volumes are massively increasing and we know that that's only going to go up. We know that IT is only going to be more complex but when we talk to businesses in any industry the value of the data is in the insights the ability to extract that data in real time glean insights from it so that businesses can make data-based decisions that pivot their business, especially critical during the year that we have now known as 2020. Talk to me a little bit about though digging into your marketing material, everyone, there's all these terms, right, that everyone uses and you guys use single source of truth. What does it actually mean for single source, for stuff like? >> Yeah, so we talk about cloud, we talk about single source of truth and when you're looking at data problems, the problem and the solution are the same thing. A massive amount of data is a raw resource, that's all it is. And trying to refine that raw resource into something that is insightful or something that is useful to a business process is a challenge that every customer in every market, in every region undergoes. And how you overcome that is critical. And one of the primary focuses of Snowflake is to evolve the data cloud. Snowflake platform is the underlying technology for the data cloud but the data cloud is where we're going. And what I mean by data cloud. If you have a data set, your internal data, that is your truth, but it might not be the truth. So in Snowflake we encourage our customers to collaborate on data sets. For example, if you want to know how many people are living in a certain borough in New York City you could go around with a clicker and count everyone, or you could just ask the Census Bureau. That's the nature of the data cloud and what we're talking about here. Going to the subject matter experts who have the data that you need, using our marketplace, using our private exchanges, using our data sharing to build your own data cloud and become part of the next gen architecture for data sharing and collaboration, to get to the source of the truth, to make better decisions, to gain better insights. It's great to combine your data with enrich data from other sources, especially when it comes to making federal decisions and governance decisions. >> Absolutely that's critical. That the biggest challenge customers have is being able to sort through all that and find. I like how you put this as their single source of truth. Can you give us some examples of some federal agencies maybe even just anonymously that are using the power of Snowflake to do just that? >> Absolutely. We've got customers in the healthcare space and in some of the law enforcement spaces and especially in public education that are trying to increase the awareness of the folks that are subscribing to their services, for example, folks that are looking for healthcare help. If you're filing claims for a certain healthcare providers or certain care facilities, we want to make sure that those claims that are forwarded to those entities are legitimate, first of all, for example, if you're filing a claim for knee surgery in Florida, you probably didn't have one in California, three hours later. So those kinds of enforcement activities, and not just trying to do audits but also to benefit everybody who's receiving care. There's a lot of push now about genetic sequencing, DNA and RNA vaccination is huge with COVID-19, getting access to massive amounts of data to do analysis against and figure out the best approach, that's critical for where we go in the next 10 to 15 years in healthcare. Snowflake is very, very honored and happy to be propelling that move in the healthcare space. >> It is that's going to be absolutely critical but we're also seeing it, you know, everywhere else, such as for universities and education, suddenly this need, the last few months for real-time learning. Talk to me about data analysis. Can Snowflake help companies, you talked about enriching data sets so not just companies sources of data but additional data sets that they can add in and evaluate and analyze to make great decisions, but from a historical real-time perspective, talk to me how Snowflake helps with that data analysis. >> Yeah, sure. Right. So Snowflake in and of itself can do some analysis work. We've got some great visualization tools in our new UI that was released recently on public preview. So there's some analysis tools built into Snowflake but really where the value comes from is in taking your tools that you already use today and connecting it to a data source or platform that can wrangle that data, that can move that data through automated pipelines to give you a model view of that data that's beneficial. For example, data scientists and data engineers spend 80% of their time, and I know a lot of statistics are made up on the spot, that was not a promise, but trying to move this data through and refine it and build features to get to the point where you can ask a question is 80% of these very valuable professionals time. Shortening those timelines is what Snowflake really aims to do in the analysis space. We're not trying to replace the analysis tools that you use today, we work fine with all of them. The big difference is presenting them with enough data volume to give you real insights and eliminate bias as much as we can in data sets. >> What are some of the things that differentiates Snowflake from data warehouses and other folks in the market? >> Yeah. Great question. The big difference is Snowflake was built natively for the cloud. We weren't adapted to the cloud, we didn't adopt the cloud at some point in the future, Snowflake was built from scratch to be in the cloud. And since this is the appropriate show to mention it the primary difference between us is we were built to use object storage foundationally underneath our technology. And I know that sounds really nerdy and it is, but it adds a tremendous amount of value. If you think about how we used to collaborate 10 years ago we'd have a spreadsheet that if I open that spreadsheet for my share drive and you tried to open it at the same time, you'd get locked out. You're told you couldn't have it. And if tradition stays true I would probably be on vacation for two weeks. Contrast that now with the massive Google Doc platform and Office 365, object storage has changed the way that we collaborate on the same kinds of documents. Multiple people interacting with one thing at one time without contention, that's the reason why Snowflake has to operate in the cloud. We bring that same paradigm, multiple actors on a single object and give you that source of truth the truth that you absolutely need to make decisions. >> And that's critical these days as we know. We're in living in uncertain times and one of the things I think we can expect is the uncertainty to continue, but also for many industries people to stay remote or some big percentage for quite a while. So the ability to have those collaboration tools and be able to collaborate in real time is table stakes for so many companies. But when we're talking about some of the things going on this year, security, we can't not talk about security. You know, all these folks from home accessing corporate networks, you know, maybe not through VPNs or behind firewalls, the cloud is paramount to that. How does Snowflake address the security issue? >> Absolutely. So I'll start by saying our security is inherited from the wonderful security platform that AWS has underneath it. So we inherit all the security around data storage the EC Compute, all of the different entities and end points that AWS already secures Snowflake takes the same precautions. More than that, we've also built and rolled this access control to ensure that people are getting access only to the data that they should be getting access to, we recently implemented data masking as well, so certain roles are not able to see unmasked data, but they can still do queries that use the underlying data to filter. So there's a lot of different capabilities built in, encryption at rest, encryption in flight, AES-256 encryption keys used in a hierarchial model. These are phenomenal security architectures that are paramount to the security of the folks that are using our platform. Because we know at the end of the day the first day we have a leak in Snowflake is probably our last day in business. We got to be good at that which is why it's our top priority. >> I didn't, to ever talk about security as an inherited, I must be a dominant trait if we're going to be talking about, you know, genetics and chromosomes and mRNA and things like that. So walk me through last question, a government organization, or say they're an AWS customer or they want to start using Snowflake, what's that process? How do they go about doing that to leverage those inherited security capabilities that you talked about? >> Well, thankfully AWS has helped us put a FedRAMP moderate certified Snowflake region together in AWS, East commercial, so we're very happy to have a FedRAMP moderate region. They can access Snowflake through the AWS Marketplace or from Snowflake.com, you can start a trial in just a couple of minutes. Our security is built into all of our regions although the FedRAMP regions are specialized in some of the encryption technology we use, but we always, always always protect our users' data, regardless of where it is. >> You make it sound easy, I got to say. (laughing) >> That's because it is. (laughing) Thank you cloud. >> That's good. And well, that's good and it should be, especially because there's so much complexity and uncertainty everywhere else in the world right now. Last question for you. As I mentioned in the beginning, the biggest IPO in software history, just a couple of months ago during probably one of the most strangest time of any of us have ever, and our relatives ever witnessed, what can we expect from Snowflake in 2021? Are you going to bring all the good vibes that we all need? (laughing) >> Well, good vibes is our business model. You know, Snowflake is a phenomenal platform. We've had a ton of success driven by the success of our cloud provider partners, driven by the success of our wonderful customers. We have over 4,000 people using Snowflake now to great effect. You can look for more features, you can look for more functions, but really the evolution of the data cloud, our big push is to help our customers get into the data cloud, get the truth out of their data and make better decisions every day. And you'll see more of that from us as time continues. >> One more question I wanted to sneak in, how did you work with those customers to evolve the data cloud? What's that feedback loop like? >> It's, a lot of it comes down to silos that the customers have built up over years and years and years of operation. That's the first step. In Snowflake there isn't such thing really as a data silo there's data put into Snowflake, everything is unified, you can do queries across databases, that's the first thing. The second thing is browsing our data marketplace. It's just like an App Store for your phone but instead it's data sets and the data sets are published by the experts who know that material better than anyone. I mentioned earlier bringing in everything from housing evaluation data to COVID-19 data from California and Boston, bringing World Health Organization data, John Hopkins University data, joining that with the data that you already use today along with weather and population counts, the main thing here, the strategy is almost endless. More and more data sets are being published over every day. We have over a hundred contributors in the marketplace now. >> That's exciting that we have the technology and the power like this to help the world re, you know, recover from such a crazy time. It's nice to know that, that there was the power of that behind that, and the smart folks like you chief federal technologists, helping to fine tune that and really ensure that organizations across the government can maximize the value of data and find their single source of truth. Nick, it's been a blast having you on theCUBE. Thank you for joining me. >> Thank you for having me. >> For next piece, I'm Lisa Martin. You're watching theCUBE Virtual. (upbeat music)

>>from around the globe. It's the Cube covering >>space and cybersecurity. Symposium 2020 hosted by Cal Poly >>Over On Welcome to this Special virtual conference. The Space and Cybersecurity Symposium 2020 put on by Cal Poly with support from the Cube. I'm John for your host and master of ceremonies. Got a great topic today in this session. Really? The intersection of space and cybersecurity. This topic and this conversation is the cybersecurity workforce development through public and private partnerships. And we've got a great lineup. We have Jeff Armstrong's the president of California Polytechnic State University, also known as Cal Poly Jeffrey. Thanks for jumping on and Bang. Go ahead. The second director of C four s R Division. And he's joining us from the office of the Under Secretary of Defense for the acquisition Sustainment Department of Defense, D O D. And, of course, Steve Jake's executive director, founder, National Security Space Association and managing partner at Bello's. Gentlemen, thank you for joining me for this session. We got an hour conversation. Thanks for coming on. >>Thank you. >>So we got a virtual event here. We've got an hour, have a great conversation and love for you guys do? In opening statement on how you see the development through public and private partnerships around cybersecurity in space, Jeff will start with you. >>Well, thanks very much, John. It's great to be on with all of you. Uh, on behalf Cal Poly Welcome, everyone. Educating the workforce of tomorrow is our mission to Cal Poly. Whether that means traditional undergraduates, master students are increasingly mid career professionals looking toe up, skill or re skill. Our signature pedagogy is learn by doing, which means that our graduates arrive at employers ready Day one with practical skills and experience. We have long thought of ourselves is lucky to be on California's beautiful central Coast. But in recent years, as we have developed closer relationships with Vandenberg Air Force Base, hopefully the future permanent headquarters of the United States Space Command with Vandenberg and other regional partners, we have discovered that our location is even more advantages than we thought. We're just 50 miles away from Vandenberg, a little closer than u C. Santa Barbara, and the base represents the southern border of what we have come to think of as the central coast region. Cal Poly and Vandenberg Air force base have partner to support regional economic development to encourage the development of a commercial spaceport toe advocate for the space Command headquarters coming to Vandenberg and other ventures. These partnerships have been possible because because both parties stand to benefit Vandenberg by securing new streams of revenue, workforce and local supply chain and Cal Poly by helping to grow local jobs for graduates, internship opportunities for students, and research and entrepreneurship opportunities for faculty and staff. Crucially, what's good for Vandenberg Air Force Base and for Cal Poly is also good for the Central Coast and the US, creating new head of household jobs, infrastructure and opportunity. Our goal is that these new jobs bring more diversity and sustainability for the region. This regional economic development has taken on a life of its own, spawning a new nonprofit called Reach, which coordinates development efforts from Vandenberg Air Force Base in the South to camp to Camp Roberts in the North. Another factor that is facilitated our relationship with Vandenberg Air Force Base is that we have some of the same friends. For example, Northrop Grumman has has long been an important defense contractor, an important partner to Cal poly funding scholarships and facilities that have allowed us to stay current with technology in it to attract highly qualified students for whom Cal Poly's costs would otherwise be prohibitive. For almost 20 years north of grimness funded scholarships for Cal Poly students this year, their funding 64 scholarships, some directly in our College of Engineering and most through our Cal Poly Scholars program, Cal Poly Scholars, a support both incoming freshman is transfer students. These air especially important because it allows us to provide additional support and opportunities to a group of students who are mostly first generation, low income and underrepresented and who otherwise might not choose to attend Cal Poly. They also allow us to recruit from partner high schools with large populations of underrepresented minority students, including the Fortune High School in Elk Grove, which we developed a deep and lasting connection. We know that the best work is done by balanced teams that include multiple and diverse perspectives. These scholarships help us achieve that goal, and I'm sure you know Northrop Grumman was recently awarded a very large contract to modernized the U. S. I. C B M Armory with some of the work being done at Vandenberg Air Force Base, thus supporting the local economy and protecting protecting our efforts in space requires partnerships in the digital realm. How Polly is partnered with many private companies, such as AWS. Our partnerships with Amazon Web services has enabled us to train our students with next generation cloud engineering skills, in part through our jointly created digital transformation hub. Another partnership example is among Cal Poly's California Cybersecurity Institute, College of Engineering and the California National Guard. This partnership is focused on preparing a cyber ready workforce by providing faculty and students with a hands on research and learning environment, side by side with military, law enforcement professionals and cyber experts. We also have a long standing partnership with PG and E, most recently focused on workforce development and redevelopment. Many of our graduates do indeed go on to careers in aerospace and defense industry as a rough approximation. More than 4500 Cal Poly graduates list aerospace and defense as their employment sector on linked in, and it's not just our engineers and computer sciences. When I was speaking to our fellow Panelists not too long ago, >>are >>speaking to bang, we learned that Rachel sins, one of our liberal arts arts majors, is working in his office. So shout out to you, Rachel. And then finally, of course, some of our graduates sword extraordinary heights such as Commander Victor Glover, who will be heading to the International space station later this year as I close. All of which is to say that we're deeply committed the workforce, development and redevelopment that we understand the value of public private partnerships and that were eager to find new ways in which to benefit everyone from this further cooperation. So we're committed to the region, the state in the nation and our past efforts in space, cybersecurity and links to our partners at as I indicated, aerospace industry and governmental partners provides a unique position for us to move forward in the interface of space and cybersecurity. Thank you so much, John. >>President, I'm sure thank you very much for the comments and congratulations to Cal Poly for being on the forefront of innovation and really taking a unique progressive. You and wanna tip your hat to you guys over there. Thank you very much for those comments. Appreciate it. Bahng. Department of Defense. Exciting you gotta defend the nation spaces Global. Your opening statement. >>Yes, sir. Thanks, John. Appreciate that day. Thank you, everybody. I'm honored to be this panel along with President Armstrong, Cal Poly in my long longtime friend and colleague Steve Jakes of the National Security Space Association, to discuss a very important topic of cybersecurity workforce development, as President Armstrong alluded to, I'll tell you both of these organizations, Cal Poly and the N S. A have done and continue to do an exceptional job at finding talent, recruiting them in training current and future leaders and technical professionals that we vitally need for our nation's growing space programs. A swell Asare collective National security Earlier today, during Session three high, along with my colleague Chris Hansen discussed space, cyber Security and how the space domain is changing the landscape of future conflicts. I discussed the rapid emergence of commercial space with the proliferations of hundreds, if not thousands, of satellites providing a variety of services, including communications allowing for global Internet connectivity. S one example within the O. D. We continue to look at how we can leverage this opportunity. I'll tell you one of the enabling technologies eyes the use of small satellites, which are inherently cheaper and perhaps more flexible than the traditional bigger systems that we have historically used unemployed for the U. D. Certainly not lost on Me is the fact that Cal Poly Pioneer Cube SATs 2020 some years ago, and they set the standard for the use of these systems today. So they saw the valiant benefit gained way ahead of everybody else, it seems, and Cal Poly's focus on training and education is commendable. I especially impressed by the efforts of another of Steve's I colleague, current CEO Mr Bill Britain, with his high energy push to attract the next generation of innovators. Uh, earlier this year, I had planned on participating in this year's Cyber Innovation Challenge. In June works Cal Poly host California Mill and high school students and challenge them with situations to test their cyber knowledge. I tell you, I wish I had that kind of opportunity when I was a kid. Unfortunately, the pandemic change the plan. Why I truly look forward. Thio feature events such as these Thio participating. Now I want to recognize my good friend Steve Jakes, whom I've known for perhaps too long of a time here over two decades or so, who was in acknowledge space expert and personally, I truly applaud him for having the foresight of years back to form the National Security Space Association to help the entire space enterprise navigate through not only technology but Polly policy issues and challenges and paved the way for operational izing space. Space is our newest horrifying domain. That's not a secret anymore. Uh, and while it is a unique area, it shares a lot of common traits with the other domains such as land, air and sea, obviously all of strategically important to the defense of the United States. In conflict they will need to be. They will all be contested and therefore they all need to be defended. One domain alone will not win future conflicts in a joint operation. We must succeed. All to defending space is critical as critical is defending our other operational domains. Funny space is no longer the sanctuary available only to the government. Increasingly, as I discussed in the previous session, commercial space is taking the lead a lot of different areas, including R and D, A so called new space, so cyber security threat is even more demanding and even more challenging. Three US considers and federal access to and freedom to operate in space vital to advancing security, economic prosperity, prosperity and scientific knowledge of the country. That's making cyberspace an inseparable component. America's financial, social government and political life. We stood up US Space force ah, year ago or so as the newest military service is like the other services. Its mission is to organize, train and equip space forces in order to protect us and allied interest in space and to provide space capabilities to the joint force. Imagine combining that US space force with the U. S. Cyber Command to unify the direction of space and cyberspace operation strengthened U D capabilities and integrate and bolster d o d cyber experience. Now, of course, to enable all of this requires had trained and professional cadre of cyber security experts, combining a good mix of policy as well as high technical skill set much like we're seeing in stem, we need to attract more people to this growing field. Now the D. O. D. Is recognized the importance of the cybersecurity workforce, and we have implemented policies to encourage his growth Back in 2013 the deputy secretary of defense signed the D. O d cyberspace workforce strategy to create a comprehensive, well equipped cyber security team to respond to national security concerns. Now this strategy also created a program that encourages collaboration between the D. O. D and private sector employees. We call this the Cyber Information Technology Exchange program or site up. It's an exchange programs, which is very interesting, in which a private sector employees can naturally work for the D. O. D. In a cyber security position that spans across multiple mission critical areas are important to the d. O. D. A key responsibility of cybersecurity community is military leaders on the related threats and cyber security actions we need to have to defeat these threats. We talk about rapid that position, agile business processes and practices to speed up innovation. Likewise, cybersecurity must keep up with this challenge to cyber security. Needs to be right there with the challenges and changes, and this requires exceptional personnel. We need to attract talent investing the people now to grow a robust cybersecurity, workforce, streets, future. I look forward to the panel discussion, John. Thank you. >>Thank you so much bomb for those comments and you know, new challenges and new opportunities and new possibilities and free freedom Operating space. Critical. Thank you for those comments. Looking forward. Toa chatting further. Steve Jakes, executive director of N. S. S. A Europe opening statement. >>Thank you, John. And echoing bangs thanks to Cal Poly for pulling these this important event together and frankly, for allowing the National Security Space Association be a part of it. Likewise, we on behalf the association delighted and honored Thio be on this panel with President Armstrong along with my friend and colleague Bonneau Glue Mahad Something for you all to know about Bomb. He spent the 1st 20 years of his career in the Air Force doing space programs. He then went into industry for several years and then came back into government to serve. Very few people do that. So bang on behalf of the space community, we thank you for your long life long devotion to service to our nation. We really appreciate that and I also echo a bang shot out to that guy Bill Britain, who has been a long time co conspirator of ours for a long time and you're doing great work there in the cyber program at Cal Poly Bill, keep it up. But professor arms trying to keep a close eye on him. Uh, I would like to offer a little extra context to the great comments made by by President Armstrong and bahng. Uh, in our view, the timing of this conference really could not be any better. Um, we all recently reflected again on that tragic 9 11 surprise attack on our homeland. And it's an appropriate time, we think, to take pause while the percentage of you in the audience here weren't even born or babies then For the most of us, it still feels like yesterday. And moreover, a tragedy like 9 11 has taught us a lot to include to be more vigilant, always keep our collective eyes and ears open to include those quote eyes and ears from space, making sure nothing like this ever happens again. So this conference is a key aspect. Protecting our nation requires we work in a cybersecurity environment at all times. But, you know, the fascinating thing about space systems is we can't see him. No, sir, We see Space launches man there's nothing more invigorating than that. But after launch, they become invisible. So what are they really doing up there? What are they doing to enable our quality of life in the United States and in the world? Well, to illustrate, I'd like to paraphrase elements of an article in Forbes magazine by Bonds and my good friend Chuck Beans. Chuck. It's a space guy, actually had Bonds job a fuse in the Pentagon. He is now chairman and chief strategy officer at York Space Systems, and in his spare time he's chairman of the small satellites. Chuck speaks in words that everyone can understand. So I'd like to give you some of his words out of his article. Uh, they're afraid somewhat. So these are Chuck's words. Let's talk about average Joe and playing Jane. Before heading to the airport for a business trip to New York City, Joe checks the weather forecast informed by Noah's weather satellites to see what pack for the trip. He then calls an uber that space app. Everybody uses it matches riders with drivers via GPS to take into the airport, So Joe has lunch of the airport. Unbeknownst to him, his organic lunch is made with the help of precision farming made possible through optimized irrigation and fertilization, with remote spectral sensing coming from space and GPS on the plane, the pilot navigates around weather, aided by GPS and nose weather satellites. And Joe makes his meeting on time to join his New York colleagues in a video call with a key customer in Singapore made possible by telecommunication satellites. Around to his next meeting, Joe receives notice changing the location of the meeting to another to the other side of town. So he calmly tells Syria to adjust the destination, and his satellite guided Google maps redirects him to the new location. That evening, Joe watches the news broadcast via satellite. The report details a meeting among world leaders discussing the developing crisis in Syria. As it turns out, various forms of quote remotely sensed. Information collected from satellites indicate that yet another band, chemical weapon, may have been used on its own people. Before going to bed, Joe decides to call his parents and congratulate them for their wedding anniversary as they cruise across the Atlantic, made possible again by communications satellites and Joe's parents can enjoy the call without even wondering how it happened the next morning. Back home, Joe's wife, Jane, is involved in a car accident. Her vehicle skids off the road. She's knocked unconscious, but because of her satellite equipped on star system, the crash is detected immediately and first responders show up on the scene. In time, Joe receives the news books. An early trip home sends flowers to his wife as he orders another uber to the airport. Over that 24 hours, Joe and Jane used space system applications for nearly every part of their day. Imagine the consequences if at any point they were somehow denied these services, whether they be by natural causes or a foreign hostility. And each of these satellite applications used in this case were initially developed for military purposes and continue to be, but also have remarkable application on our way of life. Just many people just don't know that. So, ladies and gentlemen, now you know, thanks to chuck beans, well, the United States has a proud heritage being the world's leading space faring nation, dating back to the Eisenhower and Kennedy years. Today we have mature and robust systems operating from space, providing overhead reconnaissance to quote, wash and listen, provide missile warning, communications, positioning, navigation and timing from our GPS system. Much of what you heard in Lieutenant General J. T. Thompson earlier speech. These systems are not only integral to our national security, but also our also to our quality of life is Chuck told us. We simply no longer could live without these systems as a nation and for that matter, as a world. But over the years, adversary like adversaries like China, Russia and other countries have come to realize the value of space systems and are aggressively playing ketchup while also pursuing capabilities that will challenge our systems. As many of you know, in 2000 and seven, China demonstrated it's a set system by actually shooting down is one of its own satellites and has been aggressively developing counter space systems to disrupt hours. So in a heavily congested space environment, our systems are now being contested like never before and will continue to bay well as Bond mentioned, the United States has responded to these changing threats. In addition to adding ways to protect our system, the administration and in Congress recently created the United States Space Force and the operational you United States Space Command, the latter of which you heard President Armstrong and other Californians hope is going to be located. Vandenberg Air Force Base Combined with our intelligence community today, we have focused military and civilian leadership now in space. And that's a very, very good thing. Commence, really. On the industry side, we did create the National Security Space Association devoted solely to supporting the national security Space Enterprise. We're based here in the D C area, but we have arms and legs across the country, and we are loaded with extraordinary talent. In scores of Forman, former government executives, So S s a is joined at the hip with our government customers to serve and to support. We're busy with a multitude of activities underway ranging from a number of thought provoking policy. Papers are recurring space time Webcast supporting Congress's Space Power Caucus and other main serious efforts. Check us out at NSS. A space dot org's One of our strategic priorities in central to today's events is to actively promote and nurture the workforce development. Just like cow calling. We will work with our U. S. Government customers, industry leaders and academia to attract and recruit students to join the space world, whether in government or industry and two assistant mentoring and training as their careers. Progress on that point, we're delighted. Be delighted to be working with Cal Poly as we hopefully will undertake a new pilot program with him very soon. So students stay tuned something I can tell you Space is really cool. While our nation's satellite systems are technical and complex, our nation's government and industry work force is highly diverse, with a combination of engineers, physicists, method and mathematicians, but also with a large non technical expertise as well. Think about how government gets things thes systems designed, manufactured, launching into orbit and operating. They do this via contracts with our aerospace industry, requiring talents across the board from cost estimating cost analysis, budgeting, procurement, legal and many other support. Tasker Integral to the mission. Many thousands of people work in the space workforce tens of billions of dollars every year. This is really cool stuff, no matter what your education background, a great career to be part of. When summary as bang had mentioned Aziz, well, there is a great deal of exciting challenges ahead we will see a new renaissance in space in the years ahead, and in some cases it's already begun. Billionaires like Jeff Bezos, Elon Musk, Sir Richard Richard Branson are in the game, stimulating new ideas in business models, other private investors and start up companies. Space companies are now coming in from all angles. The exponential advancement of technology and microelectronics now allows the potential for a plethora of small SAT systems to possibly replace older satellites the size of a Greyhound bus. It's getting better by the day and central to this conference, cybersecurity is paramount to our nation's critical infrastructure in space. So once again, thanks very much, and I look forward to the further conversation. >>Steve, thank you very much. Space is cool. It's relevant. But it's important, as you pointed out, and you're awesome story about how it impacts our life every day. So I really appreciate that great story. I'm glad you took the time Thio share that you forgot the part about the drone coming over in the crime scene and, you know, mapping it out for you. But that would add that to the story later. Great stuff. My first question is let's get into the conversations because I think this is super important. President Armstrong like you to talk about some of the points that was teased out by Bang and Steve. One in particular is the comment around how military research was important in developing all these capabilities, which is impacting all of our lives. Through that story. It was the military research that has enabled a generation and generation of value for consumers. This is kind of this workforce conversation. There are opportunities now with with research and grants, and this is, ah, funding of innovation that it's highly accelerate. It's happening very quickly. Can you comment on how research and the partnerships to get that funding into the universities is critical? >>Yeah, I really appreciate that And appreciate the comments of my colleagues on it really boils down to me to partnerships, public private partnerships. You mentioned Northrop Grumman, but we have partnerships with Lockie Martin, Boeing, Raytheon Space six JPL, also member of organization called Business Higher Education Forum, which brings together university presidents and CEOs of companies. There's been focused on cybersecurity and data science, and I hope that we can spill into cybersecurity in space but those partnerships in the past have really brought a lot forward at Cal Poly Aziz mentioned we've been involved with Cube set. Uh, we've have some secure work and we want to plan to do more of that in the future. Uh, those partnerships are essential not only for getting the r and d done, but also the students, the faculty, whether masters or undergraduate, can be involved with that work. Uh, they get that real life experience, whether it's on campus or virtually now during Covic or at the location with the partner, whether it may be governmental or our industry. Uh, and then they're even better equipped, uh, to hit the ground running. And of course, we'd love to see even more of our students graduate with clearance so that they could do some of that a secure work as well. So these partnerships are absolutely critical, and it's also in the context of trying to bring the best and the brightest and all demographics of California and the US into this field, uh, to really be successful. So these partnerships are essential, and our goal is to grow them just like I know other colleagues and C. S u and the U C are planning to dio, >>you know, just as my age I've seen I grew up in the eighties, in college and during that systems generation and that the generation before me, they really kind of pioneered the space that spawned the computer revolution. I mean, you look at these key inflection points in our lives. They were really funded through these kinds of real deep research. Bond talk about that because, you know, we're living in an age of cloud. And Bezos was mentioned. Elon Musk. Sir Richard Branson. You got new ideas coming in from the outside. You have an accelerated clock now on terms of the innovation cycles, and so you got to react differently. You guys have programs to go outside >>of >>the Defense Department. How important is this? Because the workforce that air in schools and our folks re skilling are out there and you've been on both sides of the table. So share your thoughts. >>No, thanks, John. Thanks for the opportunity responded. And that's what you hit on the notes back in the eighties, R and D in space especially, was dominated by my government funding. Uh, contracts and so on. But things have changed. As Steve pointed out, A lot of these commercial entities funded by billionaires are coming out of the woodwork funding R and D. So they're taking the lead. So what we can do within the deal, the in government is truly take advantage of the work they've done on. Uh, since they're they're, you know, paving the way to new new approaches and new way of doing things. And I think we can We could certainly learn from that. And leverage off of that saves us money from an R and D standpoint while benefiting from from the product that they deliver, you know, within the O D Talking about workforce development Way have prioritized we have policies now to attract and retain talent. We need I I had the folks do some research and and looks like from a cybersecurity workforce standpoint. A recent study done, I think, last year in 2019 found that the cybersecurity workforce gap in the U. S. Is nearing half a million people, even though it is a growing industry. So the pipeline needs to be strengthened off getting people through, you know, starting young and through college, like assess a professor Armstrong indicated, because we're gonna need them to be in place. Uh, you know, in a period of about maybe a decade or so, Uh, on top of that, of course, is the continuing issue we have with the gap with with stamps students, we can't afford not to have expertise in place to support all the things we're doing within the with the not only deal with the but the commercial side as well. Thank you. >>How's the gap? Get? Get filled. I mean, this is the this is again. You got cybersecurity. I mean, with space. It's a whole another kind of surface area, if you will, in early surface area. But it is. It is an I o t. Device if you think about it. But it does have the same challenges. That's kind of current and and progressive with cybersecurity. Where's the gap Get filled, Steve Or President Armstrong? I mean, how do you solve the problem and address this gap in the workforce? What is some solutions and what approaches do we need to put in place? >>Steve, go ahead. I'll follow up. >>Okay. Thanks. I'll let you correct. May, uh, it's a really good question, and it's the way I would. The way I would approach it is to focus on it holistically and to acknowledge it up front. And it comes with our teaching, etcetera across the board and from from an industry perspective, I mean, we see it. We've gotta have secure systems with everything we do and promoting this and getting students at early ages and mentoring them and throwing internships at them. Eyes is so paramount to the whole the whole cycle, and and that's kind of and it really takes focused attention. And we continue to use the word focus from an NSS, a perspective. We know the challenges that are out there. There are such talented people in the workforce on the government side, but not nearly enough of them. And likewise on industry side. We could use Maura's well, but when you get down to it, you know we can connect dots. You know that the the aspect That's a Professor Armstrong talked about earlier toe where you continue to work partnerships as much as you possibly can. We hope to be a part of that. That network at that ecosystem the will of taking common objectives and working together to kind of make these things happen and to bring the power not just of one or two companies, but our our entire membership to help out >>President >>Trump. Yeah, I would. I would also add it again. It's back to partnerships that I talked about earlier. One of our partners is high schools and schools fortune Margaret Fortune, who worked in a couple of, uh, administrations in California across party lines and education. Their fifth graders all visit Cal Poly and visit our learned by doing lab and you, you've got to get students interested in stem at a early age. We also need the partnerships, the scholarships, the financial aid so the students can graduate with minimal to no debt to really hit the ground running. And that's exacerbated and really stress. Now, with this covert induced recession, California supports higher education at a higher rate than most states in the nation. But that is that has dropped this year or reasons. We all understand, uh, due to Kobe, and so our partnerships, our creativity on making sure that we help those that need the most help financially uh, that's really key, because the gaps air huge eyes. My colleagues indicated, you know, half of half a million jobs and you need to look at the the students that are in the pipeline. We've got to enhance that. Uh, it's the in the placement rates are amazing. Once the students get to a place like Cal Poly or some of our other amazing CSU and UC campuses, uh, placement rates are like 94%. >>Many of our >>engineers, they have jobs lined up a year before they graduate. So it's just gonna take key partnerships working together. Uh, and that continued partnership with government, local, of course, our state of CSU on partners like we have here today, both Stephen Bang So partnerships the thing >>e could add, you know, the collaboration with universities one that we, uh, put a lot of emphasis, and it may not be well known fact, but as an example of national security agencies, uh, National Centers of Academic Excellence in Cyber, the Fast works with over 270 colleges and universities across the United States to educate its 45 future cyber first responders as an example, so that Zatz vibrant and healthy and something that we ought Teoh Teik, banjo >>off. Well, I got the brain trust here on this topic. I want to get your thoughts on this one point. I'd like to define what is a public private partnership because the theme that's coming out of the symposium is the script has been flipped. It's a modern error. Things air accelerated get you got security. So you get all these things kind of happen is a modern approach and you're seeing a digital transformation play out all over the world in business. Andi in the public sector. So >>what is what >>is a modern public private partnership? What does it look like today? Because people are learning differently, Covert has pointed out, which was that we're seeing right now. How people the progressions of knowledge and learning truth. It's all changing. How do you guys view the modern version of public private partnership and some some examples and improve points? Can you can you guys share that? We'll start with the Professor Armstrong. >>Yeah. A zai indicated earlier. We've had on guy could give other examples, but Northup Grumman, uh, they helped us with cyber lab. Many years ago. That is maintained, uh, directly the software, the connection outside its its own unit so that students can learn the hack, they can learn to penetrate defenses, and I know that that has already had some considerations of space. But that's a benefit to both parties. So a good public private partnership has benefits to both entities. Uh, in the common factor for universities with a lot of these partnerships is the is the talent, the talent that is, that is needed, what we've been working on for years of the, you know, that undergraduate or master's or PhD programs. But now it's also spilling into Skilling and re Skilling. As you know, Jobs. Uh, you know, folks were in jobs today that didn't exist two years, three years, five years ago. But it also spills into other aspects that can expand even mawr. We're very fortunate. We have land, there's opportunities. We have one tech part project. We're expanding our tech park. I think we'll see opportunities for that, and it'll it'll be adjusted thio, due to the virtual world that we're all learning more and more about it, which we were in before Cove it. But I also think that that person to person is going to be important. Um, I wanna make sure that I'm driving across the bridge. Or or that that satellites being launched by the engineer that's had at least some in person training, uh, to do that and that experience, especially as a first time freshman coming on a campus, getting that experience expanding and as adult. And we're gonna need those public private partnerships in order to continue to fund those at a level that is at the excellence we need for these stem and engineering fields. >>It's interesting People in technology can work together in these partnerships in a new way. Bank Steve Reaction Thio the modern version of what a public, successful private partnership looks like. >>If I could jump in John, I think, you know, historically, Dodi's has have had, ah, high bar thio, uh, to overcome, if you will, in terms of getting rapid pulling in your company. This is the fault, if you will and not rely heavily in are the usual suspects of vendors and like and I think the deal is done a good job over the last couple of years off trying to reduce the burden on working with us. You know, the Air Force. I think they're pioneering this idea around pitch days where companies come in, do a two hour pitch and immediately notified of a wooden award without having to wait a long time. Thio get feedback on on the quality of the product and so on. So I think we're trying to do our best. Thio strengthen that partnership with companies outside the main group of people that we typically use. >>Steve, any reaction? Comment to add? >>Yeah, I would add a couple of these air. Very excellent thoughts. Uh, it zits about taking a little gamble by coming out of your comfort zone. You know, the world that Bond and Bond lives in and I used to live in in the past has been quite structured. It's really about we know what the threat is. We need to go fix it, will design it says we go make it happen, we'll fly it. Um, life is so much more complicated than that. And so it's it's really to me. I mean, you take you take an example of the pitch days of bond talks about I think I think taking a gamble by attempting to just do a lot of pilot programs, uh, work the trust factor between government folks and the industry folks in academia. Because we are all in this together in a lot of ways, for example. I mean, we just sent the paper to the White House of their requests about, you know, what would we do from a workforce development perspective? And we hope Thio embellish on this over time once the the initiative matures. But we have a piece of it, for example, is the thing we call clear for success getting back Thio Uh, President Armstrong's comments at the collegiate level. You know, high, high, high quality folks are in high demand. So why don't we put together a program they grabbed kids in their their underclass years identifies folks that are interested in doing something like this. Get them scholarships. Um, um, I have a job waiting for them that their contract ID for before they graduate, and when they graduate, they walk with S C I clearance. We believe that could be done so, and that's an example of ways in which the public private partnerships can happen to where you now have a talented kid ready to go on Day one. We think those kind of things can happen. It just gets back down to being focused on specific initiatives, give them giving them a chance and run as many pilot programs as you can like these days. >>That's a great point, E. President. >>I just want to jump in and echo both the bank and Steve's comments. But Steve, that you know your point of, you know, our graduates. We consider them ready Day one. Well, they need to be ready Day one and ready to go secure. We totally support that and and love to follow up offline with you on that. That's that's exciting, uh, and needed very much needed mawr of it. Some of it's happening, but way certainly have been thinking a lot about that and making some plans, >>and that's a great example of good Segway. My next question. This kind of reimagining sees work flows, eyes kind of breaking down the old the old way and bringing in kind of a new way accelerated all kind of new things. There are creative ways to address this workforce issue, and this is the next topic. How can we employ new creative solutions? Because, let's face it, you know, it's not the days of get your engineering degree and and go interview for a job and then get slotted in and get the intern. You know the programs you get you particularly through the system. This is this is multiple disciplines. Cybersecurity points at that. You could be smart and math and have, ah, degree in anthropology and even the best cyber talents on the planet. So this is a new new world. What are some creative approaches that >>you know, we're >>in the workforce >>is quite good, John. One of the things I think that za challenge to us is you know, we got somehow we got me working for with the government, sexy, right? The part of the challenge we have is attracting the right right level of skill sets and personnel. But, you know, we're competing oftentimes with the commercial side, the gaming industry as examples of a big deal. And those are the same talents. We need to support a lot of programs we have in the U. D. So somehow we have to do a better job to Steve's point off, making the work within the U. D within the government something that they would be interested early on. So I tracked him early. I kind of talked about Cal Poly's, uh, challenge program that they were gonna have in June inviting high school kid. We're excited about the whole idea of space and cyber security, and so on those air something. So I think we have to do it. Continue to do what were the course the next several years. >>Awesome. Any other creative approaches that you guys see working or might be on idea, or just a kind of stoked the ideation out their internship. So obviously internships are known, but like there's gotta be new ways. >>I think you can take what Steve was talking about earlier getting students in high school, uh, and aligning them sometimes. Uh, that intern first internship, not just between the freshman sophomore year, but before they inter cal poly per se. And they're they're involved s So I think that's, uh, absolutely key. Getting them involved many other ways. Um, we have an example of of up Skilling a redeveloped work redevelopment here in the Central Coast. PG and e Diablo nuclear plant as going to decommission in around 2020 24. And so we have a ongoing partnership toe work on reposition those employees for for the future. So that's, you know, engineering and beyond. Uh, but think about that just in the manner that you were talking about. So the up skilling and re Skilling uh, on I think that's where you know, we were talking about that Purdue University. Other California universities have been dealing with online programs before cove it and now with co vid uh, so many more faculty or were pushed into that area. There's going to be much more going and talk about workforce development and up Skilling and Re Skilling The amount of training and education of our faculty across the country, uh, in in virtual, uh, and delivery has been huge. So there's always a silver linings in the cloud. >>I want to get your guys thoughts on one final question as we in the in the segment. And we've seen on the commercial side with cloud computing on these highly accelerated environments where you know, SAS business model subscription. That's on the business side. But >>one of The >>things that's clear in this trend is technology, and people work together and technology augments the people components. So I'd love to get your thoughts as we look at the world now we're living in co vid um, Cal Poly. You guys have remote learning Right now. It's a infancy. It's a whole new disruption, if you will, but also an opportunity to enable new ways to collaborate, Right? So if you look at people and technology, can you guys share your view and vision on how communities can be developed? How these digital technologies and people can work together faster to get to the truth or make a discovery higher to build the workforce? These air opportunities? How do you guys view this new digital transformation? >>Well, I think there's there's a huge opportunities and just what we're doing with this symposium. We're filming this on one day, and it's going to stream live, and then the three of us, the four of us, can participate and chat with participants while it's going on. That's amazing. And I appreciate you, John, you bringing that to this this symposium, I think there's more and more that we can do from a Cal poly perspective with our pedagogy. So you know, linked to learn by doing in person will always be important to us. But we see virtual. We see partnerships like this can expand and enhance our ability and minimize the in person time, decrease the time to degree enhanced graduation rate, eliminate opportunity gaps or students that don't have the same advantages. S so I think the technological aspect of this is tremendous. Then on the up Skilling and Re Skilling, where employees air all over, they can be reached virtually then maybe they come to a location or really advanced technology allows them to get hands on virtually, or they come to that location and get it in a hybrid format. Eso I'm I'm very excited about the future and what we can do, and it's gonna be different with every university with every partnership. It's one. Size does not fit all. >>It's so many possibilities. Bond. I could almost imagine a social network that has a verified, you know, secure clearance. I can jump in, have a little cloak of secrecy and collaborate with the d o. D. Possibly in the future. But >>these are the >>kind of kind of crazy ideas that are needed. Are your thoughts on this whole digital transformation cross policy? >>I think technology is gonna be revolutionary here, John. You know, we're focusing lately on what we call digital engineering to quicken the pace off, delivering capability to warfighter. As an example, I think a I machine language all that's gonna have a major play and how we operate in the future. We're embracing five G technologies writing ability Thio zero latency or I o t More automation off the supply chain. That sort of thing, I think, uh, the future ahead of us is is very encouraging. Thing is gonna do a lot for for national defense on certainly the security of the country. >>Steve, your final thoughts. Space systems are systems, and they're connected to other systems that are connected to people. Your thoughts on this digital transformation opportunity >>Such a great question in such a fun, great challenge ahead of us. Um echoing are my colleague's sentiments. I would add to it. You know, a lot of this has I think we should do some focusing on campaigning so that people can feel comfortable to include the Congress to do things a little bit differently. Um, you know, we're not attuned to doing things fast. Uh, but the dramatic You know, the way technology is just going like crazy right now. I think it ties back Thio hoping Thio, convince some of our senior leaders on what I call both sides of the Potomac River that it's worth taking these gamble. We do need to take some of these things very way. And I'm very confident, confident and excited and comfortable. They're just gonna be a great time ahead and all for the better. >>You know, e talk about D. C. Because I'm not a lawyer, and I'm not a political person, but I always say less lawyers, more techies in Congress and Senate. So I was getting job when I say that. Sorry. Presidential. Go ahead. >>Yeah, I know. Just one other point. Uh, and and Steve's alluded to this in bonded as well. I mean, we've got to be less risk averse in these partnerships. That doesn't mean reckless, but we have to be less risk averse. And I would also I have a zoo. You talk about technology. I have to reflect on something that happened in, uh, you both talked a bit about Bill Britton and his impact on Cal Poly and what we're doing. But we were faced a few years ago of replacing a traditional data a data warehouse, data storage data center, and we partner with a W S. And thank goodness we had that in progress on it enhanced our bandwidth on our campus before Cove. It hit on with this partnership with the digital transformation hub. So there is a great example where, uh, we we had that going. That's not something we could have started. Oh, covitz hit. Let's flip that switch. And so we have to be proactive on. We also have thio not be risk averse and do some things differently. Eyes that that is really salvage the experience for for students. Right now, as things are flowing, well, we only have about 12% of our courses in person. Uh, those essential courses, uh, and just grateful for those partnerships that have talked about today. >>Yeah, and it's a shining example of how being agile, continuous operations, these air themes that expand into space and the next workforce needs to be built. Gentlemen, thank you. very much for sharing your insights. I know. Bang, You're gonna go into the defense side of space and your other sessions. Thank you, gentlemen, for your time for great session. Appreciate it. >>Thank you. Thank you. >>Thank you. >>Thank you. Thank you. Thank you all. >>I'm John Furry with the Cube here in Palo Alto, California Covering and hosting with Cal Poly The Space and Cybersecurity Symposium 2020. Thanks for watching.

>> Hello, everyone. I'm Khalil Ahmad, Senior Director, Architecture at S&P Global. I have been working with S&P Global for six years now. Previously, I worked for Citigroup and Prudential. Overall, I have been part of IT industry for 30 years, and most of my professional career has been within financial sector in New York City metro area. I live in New Jersey with my wife and son, Daniel Khalil. I have a Master degree in software engineering from the University of Scranton, and Master in mathematics University of Punjab, Lahore. And currently I am pursuing TRIUM global Executive MBA. A joint program from the NYU Stern, LSE and HEC Paris. So today, I'm going to talk about building multi-cluster scalable container platform, supporting on-prem hybrid and multicloud use cases, how we leverage that with an S&P Global and what was our best story. As far as the agenda is concerned, I will go over, quickly the problem statement. Then I will mention the work of our core requirements, how we get solutioning, how Docker Enterprise helped us. And at the end, I will go over the pilot deployment for a proof of concept which we leverage. So, as far as the problem statement is concerned. Containers, as you all know, in the enterprise are becoming mainstream but expertise remains limited and challenges are mounting as containers enter production. Some companies are building skills internally and someone looking for partners that can help catalyze success, and choosing more integrated solutions that accelerate deployments and simplify the container environment. To overcome the challenges, we at S&P Global started our journey a few years back, taking advantage of both options. So, first of all, we met with all the stakeholder, application team, Product Manager and we define our core requirements. What we want out of this container platform, which supports multicloud and hybrid supporting on-prem as well. So, as you see my core requirements, we decided that we need first of all a roadmap or container strategy, providing guidelines on standards and specification. Secondly, with an S&P Global, we decided to introduce Platform as a Service approach, where we bring the container platform and provide that as a service internally to our all application team and all the Product Managers. Hosting multiple application on-prem as well as in multicloud. Third requirement was that we need Linux and Windows container support. In addition to that, we would also require hosted secure image registry with role based access control and image security scanning. In addition to that, we also started DevOps journey, so we want to have a full support of CI/CD pipeline. Whatever the solution we recommend from the architecture group, it should be easily integrated to the developer workstation. And developer workstation could be Windows, Mac or Linux. Orchestration, performance and control were few other parameter which we'll want to keep in mind. And the most important, dynamic scaling of container clusters. That was something we were also want to achieve, when we introduce this Platform as a Service. So, as far as the standard specification are concerned, we turn to the Open Container Initiative, the OCI. OCI was established in June 2015 by Docker and other leaders in the technology industry. And OCI operates under Linux Foundation, and currently contains two specification, runtime specification and image specification. So, at that time, it was a no brainer, other than to just stick with OCI. So, we are following the industry standard and specifications. Now the next step was, okay, the container platform. But what would be our runtime engine? What would be orchestration? And how we support, in our on-prem as well as in the multicloud infrastructure? So, when it comes to runtime engine, we decided to go with the Docker. Which is by default, runtime engine and Kubernetes. And if I may mention, DataDog in one of their public report, they say Docker is probably the most talked about infrastructure technology for the past few years. So, sticking to Docker runtime engine was another win-win game and we saw in future not bringing any challenge or issues. When it comes to orchestration. We prefer Kubernetes but that time there was a challenge, Kubernetes did not support Windows container. So, we wanted something which worked with a Linux container, and also has the ability or to orchestrate Windows containers. So, even though long term we want to stick to Kubernetes, but we also wanted to have a Docker swarm. When it comes to on-prem and multicloud, technically you could only support as of now, technology may change in future, but as of now, you can only support if you bring your own orchestration too. So, in our case, if we have control over orchestration control and not locked in with one cloud provider, that was the ideal situation. So, with all that, research, R&D and finding, we found Docker Enterprise. Which is securely built, share and run modern applications anywhere. So, when we come across Docker Enterprise, we were pleased to see that it meets our most of the core requirements. Whether it is coming on the developer machine, to integrating their workstation, building the application. Whether it comes to sharing those application, in a secure way and collaborating with our pipeline. And the lastly, when it comes to the running. If we run in hybrid or multicloud or edge, in Kubernetes, Docker Enterprise have the support all the way. So, three area one I just call up all the Docker Enterprise, choice, flexibility and security. I'm sure there's a lot more features in Docker Enterprise as a suite. But, when we looked at these three words very quickly, simplified hybrid orchestration. Define application centric policies and boundaries. Once you define, you're all set. Then you just maintain those policies. Manage diverse application across mixed infrastructure, with secure segmentation. Then it comes to secure software supply chain. Provenance across the entire lifecycle of apps and infrastructure through enforceable policy. Consistently manage all apps and infrastructure. And lastly, when it comes to infrastructure independence. It was easily forever lift and shift, because same time, our cloud journey was in the flight. We were moving from on-prem to the cloud. So, support for lift and shift application was one of our wishlist. And Docker Enterprise did not disappoint us. It also supported both traditional and micro services apps on any infrastructure. So, here we are, Docker Enterprise. Why Docker Enterprise? Some of the items in previous slides I mentioned. But in addition to those industry-leading platform, simplifying the IT operations, for running modern application at scale, anywhere. Docker Enterprise also has developer tools. So, the integration, as I mentioned earlier was smooth. In addition to all these tools, the main two components, the Universal Control Plane and the Docker Trusted Registry, solve lot of our problems. When it comes to the orchestration, we have our own Universal Control Plane. Which under the hood, manages Kubernetes and Docker swarm both clusters. So, guess what? We have a Windows support, through Docker swarm and we have a Linux support through Kubernetes. Now that paradigm has changed, as of today, Kubernetes support Windows container. So, guess what? We are well after the UCP, because we have our own orchestration tool, and we start managing Kubernetes cluster in Linux and introduce now, Windows as well. Then comes to the Docker Trusted Registry. Integrated Security and role based access control, made a very smooth transition from our RT storage to DTR. In addition to that, binary level scanning was another good feature from the security point of view. So that, these all options and our R&D landed the Docker Enterprise is the way to go. And if we go over the Docker Enterprise, we can spin up multiple clusters on-prem and in the cloud. And we have a one centralized location to manage those clusters. >> Khalil: So, with all that, now let's talk about how what was our pilot deployment, for proof of concept. In this diagram, you can see we, on the left side is our on-prem Data Center, on the right side is AWS, US East Coast. We picked up one region three zones. And on-prem, we picked up our Data Center, one of the Data Center in the United States of America, and we started the POC. So, our Universal Control Plane had a five nodes cluster. Docker Trusted Registry, also has a five node cluster. And the both, but in our on-prem Data Center. When it comes to the worker nodes, we have started with 18 node cluster, on the Linux side and the four node cluster on the Windows side. Because the major footprint which we have was on the Linux side, and the Windows use cases were pretty small. Also, this is just a proof of concept. And in AWS, we mimic the same web worker nodes, virtual to what we have on-prem. We have a 13 nodes cluster on Linux. And we started with four node cluster of Windows container. And having the direct connect from our Data Center to AWS, which was previously existing, so we did not have any connectivity or latency issue. Now, if you see in this diagram, you have a centralized, Universal Control Plane and your trusted registry. And we were able to spin up a cluster, on-prem as well as in the cloud. And we made this happen, end to end in record time. So later, when we deploy this in production, we also added another cloud provider. So, what you see the box on the right side, we just duplicate test that box in another cloud platform. So, now other orchestration tool, managing on-prem and multicloud clusters. Now, in your use case, you may find this little, you know, more in favor of on-prem. But that fit in our use case. Later, we did have expanded the cluster of Universal Control Plane and DTR in the cloud as well. And the clusters have gone and hundreds and thousands of worker nodes span over two cloud providers, third being discussed. And this solution has been working so far, very good. We did not see any downtime, not a single instance. And we were able to provide multicloud platform, container Platform as a Service for our S&P Global. Thank you for your time. If any questions, I have put my LinkedIn and Twitter account holder, you're welcome to ask any question

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation as we've been reporting the Koba 19 pandemic has created a bifurcated IT spending picture and over the last several weeks we've reported both on the macro and even some come at it from from a vendor and a sector view I mean for example we've reported on some of the companies that have really continued to thrive we look at the NASDAQ and its you know near at all-time highs companies like oh and in CrowdStrike we've reported on snowflake uipath the sectors are PA some of the analytic databases around AI maybe even to a lesser extent cloud but still has a lot of tailwind relative to some of those on-prem infrastructure plays even companies like Cisco bifurcated in and of themselves where you see this Meraki side of the house you know doing quite well the work from home stuff but maybe some of the traditional networking not as much well now what if you flip that to really try to understand what's going on with the shape of the recovery which is the main narrative right now is it a v-shape does it a u-shape what is what's that what do people expect and now you understand that you really have to look at different industries because different industries are going to come back at a different pace with me again is Sagar khadiyah who's the director of research at EGR Sagar you guys are all over this as usual timely information it's great to see you again hope all is well in New York City thanks so much David it's a pleasure to be back on again yeah so where are we in the cycle we give dividend a great job and very timely ETR was the first to really put out data on the koban impact with the survey that ran from mid-march to to mid-april and now everybody's attention sagar is focused on okay we're starting to come back stores are starting to open people are beginning to to go out again and everybody wants to know what the shape of the recovery looks like so where are we actually in that research cycle for you guys yeah no problem so like you said you know in that kind of march/april timeframe we really want to go out there and get an idea of what we're doing the budget impacts you know as it relates to IT because of kovat 19 right so we kind of ended off there around a decline of 5% and coming into the year the consensus was of growth of 4 or 5% right so we saw about a 900,000 basis points wing you know to the negative side and the public covered in March and April were you know which sectors and vendors were going to benefit as a result of work from home and so now as we kind of fast forward to the research cycle as we kind of go more into May and into the summer rather than asking those exact same question to get again because it's just been you know maybe 40 or 50 days we really want Singh on the recovery type as well as kind of more emerging private vendors right we want to understand what's gonna be the impact on on these vendors that typically rely on you know larger conferences more in-person meetings because these are younger technologies there's not a lot of information about them and so last Thursday we launched our biannual emerging technology study it covers roughly 300 private emerging technologies across maybe 60 sectors of technology and in tandem we've launched a co-ed flash poll right what we wanted to do was kind of twofold one really understand from CIOs the recovery type they had in mind as well as if they were seeing any any kind of permanent changes in their IT stacks IT spend because of koban 19 and so if we kind of look at the first chart here and kind of get more into that first question around recovery type what we asked CIOs and this kind of COBIT flash poll again we did it last Thursday was what type of recovery are you expecting is it v-shaped so kind of a brief decline you know maybe one quarter and then you're gonna start seeing growth in 2 to H 20 is it you shaped so two to three quarters of a decline or deceleration revenue and you're kind of forecasting that growth in revenue as an organization to come back in 2021 is it l-shaped right so maybe three four five quarters of a decline or deceleration and then you know very minimal to moderate growth or none of the above you know your organization is actually benefiting from from from koban 19 as you know we've seen some many reports so those are kind of the options that we gave CIOs and you kind of see it on that first chart here interesting and this is a survey a flash service 700 CIOs or approximately and the interesting thing I really want to point out here is this you know the koban pandemic was it didn't suppress you know all companies you know and in the return it's not going to be a rising tide lifts all ships you really got to do your research you have to understand the different sectors really try to peel back the onion skin and understand why there's certain momentum how certain organizations are accommodating the work from home we heard you know several weeks ago how there's a major change in in networking mindsets we're talking about how security is changing we're going to talk about some of the permanence but it's really really important to try to understand these different trends by different industries which you're going to talk about in a minute but if you take a look at this slide I mean obviously most people expect this u-shaped decline I mean a you know a u-shaped recovery rather so it's two or three quarters followed by some growth next year but as we'll see some of these industries are gonna really go deeper with an l-shape recovery and then it's really interesting that a pretty large and substantial portion see this as a tailwind presumably those with you know strong SAS models some annual recurring revenue models your thoughts if we kind of star on this kind of aggregate chart you know you're looking at about forty four percent of CIOs anticipated u-shaped recovery right that's the largest bucket and then you can see another 15 percent and to say an l-shape recovery 14 on the v-shaped and then 16 percent to your point that are kind of seeing this this tailwind but if we kind of focus on that largest bucket that you shaped you know one of the thing to remember and again when we asked is two CIOs within the within this kind of coded flash poll we also asked can you give us some commentary and so one of the things that or one of the themes that are kind of coming along with this u-shaped recovery is you know CIOs are cautiously optimistic about this u-shaped recovery you know they believe that they can get back on to a growth cycle into 2021 as long as there's a vaccine available we don't go into a second wave of lockdowns economic activity picks up a lot of the government actions you know become effective so there are some kind of let's call it qualifiers with this bucket of CIOs that are anticipating a u-shape recovery what they're saying is that look we are expecting these things to happen we're not expecting that our lock down we are expecting a vaccine and if that takes place then we do expect an uptick in growth or going back to kind of pre coded levels in in 2021 but you know I think it's fair to assume that if one or more of these are apps and and things do get worse as all these states are opening up maybe the recovery cycle gets pushed along so kind of at the aggregate this is where we are right now yeah so as I was saying and you really have to understand the different not only different sectors and all the different vendors but you got to look into the industries and then even within industries so if we pull up the next chart we have the industry to the breakdown and sort of the responses by the industries v-shape you shape or shape I had a conversation with a CIO of a major resort just the other day and even he was saying what was actually I'll tell you it was Windham Resorts public company I mean and obviously that business got a good crush they had their earnings call the other day they talked about how they cut their capex in half but the stock sagar since the March lows is more than doubled yeah and you know that's amazing and now but even there within that sector they're peeling that on you're saying well certain parts are going to come back sooner or certain parts are going to longer depending on you know what type of resort what type of hotel so it really is a complicated situation so take us through what you're seeing by industry sure so let's start with kind of the IT telco retail consumer space Dave to your point there's gonna be a tremendous amount of bifurcation within both of those verticals look if we start on the IT telco side you know you're seeing a very large bucket of individuals right over twenty percent that indicated they're seeing a tail with our additional revenue because of covin 19 and you know Dave we spoke about this all the way back in March right all these work from home vendors you know CIOs were doubling down on cloud and SAS and we've seen how some of these events have reported in April you know with this very good reports all the major cloud vendors right select security vendors and so that's why you're seeing on the kind of telco side definitely more positivity right as it relates to recovery type right some of them are not even going through recovery they're they're seeing an acceleration same thing on the retail consumer side you're seeing another large bucket of people who are indicating what we've benefited and again there's going to be a lot of bifurcation here there's been a lot of retail consumers you just mentioned with the hotel lines that are definitely hurting but you know if you have a good online presence as a retailer and you know you had essential goods or groceries you benefited and and those are the organizations that we're seeing you know really indicate that they saw an acceleration due to Koga 19 so I thought those two those two verticals between kind of the IT and retail side there was a big bucket or you know of people who indicated positivity so I thought that was kind of the first kind of you know I was talking about kind of peeling this onion back you know that was really interesting you know tech continues to power on and I think you know a lot of people try I think that somebody was saying that the record of the time in which we've developed a fit of vaccine previously was like mumps or something and it was I mean it was just like years but now today 2020 we've got a I we've got all this data you've got these great companies all working on this and so you know wow if we can compress that that's going to change the equation a couple other things sagar that jump out at me here in this chart I want to ask you about I mean the education you know colleges are really you know kind of freaking out right now some are coming back I know like for instance my daughter University Arizona they're coming back in the fall evidently others are saying and no you can clearly see the airlines and transportation as the biggest sort of l-shape which is the most negative I'm sure restaurants and hospitality are kind of similar and then you see energy you know which got crushed we had you know oil you know negative people paying it big barrels of oil but now look at that you know expectation of a pretty strong you know you shape recovery as people start driving again and the economy picks up so maybe you could give us some thoughts on on some of those sort of outliers yeah so I kind of bucket you know the the next two outliers as from an l-shaped in a u-shaped so on the l-shaped side like like you said education airlines transportation and probably to a little bit lesser extent industrials materials manufacturing services consulting these verticals are indicating the highest percentages from an l-shaped recovery right so three plus orders of revenue declines and deceleration followed by kind of you know minimal to moderate growth and look there's no surprise here those are the verticals that have been impacted the most by less demand from consumers and and businesses and then as you mentioned on the energy utility side and then I would probably bucket maybe healthcare Pharma those have some of the largest percentages of u-shaped recovery and it's funny like I read a lot of commentary from some of the energy in the healthcare CIOs and they were said they were very optimistic about a u-shaped type of recovery and so it kind of you know maybe with those two issues then you could even kind of lump them into you know probably to a lesser extent but you could probably open into the prior one with the airlines and the education and services consulting and IMM where you know these are definitely the verticals that are going to see the longest longest recoveries it's probably a little bit more uniform versus what we've kind of talked about a few minutes ago with you know IT and and retail consumer where it's definitely very bifurcated you know there's definitely winners and losers there yeah and again it's a very complicated situation a lot of people that I've talked to are saying look you know we really don't have a clear picture that's why all these companies have are not giving guidance many people however are optimistic not only for a vet a vaccine but but but also they're thinking as young people with disposable income they're gonna kind of say dorm damn the torpedoes I'm not really going to be exposed and you know they can come back much stronger you know there seems to be pent up demand for some of the things like elective surgery or even the weather is sort of more important health care needs so that obviously could be a snap back so you know obviously we're really closely looking at this one thing though is is certain is that people are expecting a permanent change and you've got data that really shows that on the on the next chart that's right so one of the one of the last questions that we asked on this you know quick coded flash poll was do you anticipate permanent changes to your kind of IT stack IT spend based on the last few months you know as everyone has been working remotely and you know rarely do you see results point this much in one direction but 92% of CIOs and and kind of IT you know high level ITN users indicated yes there are going to be permanent changes and you know one of the things we talked about in March and look we were really the first ones you know you know in our discussion where we were talking about work from home spend kind of negating or balancing out all these declines right we were saying look yes we are seeing a lot of budgets come down but surprisingly we're seeing 2030 percent of organizations accelerate spent and even the ones that are spending less they even then you know some of their some of their budgets are kind of being negated by this work from home spend right when you think about collaboration tool is an additional VPN and networking bandwidth in laptops and then security all that stuff CIOs now continue to spend on because what what CIO is now understand as productivity has remained at very high levels right in March CIOs were very with the catastrophe and productivity that has not come true so on the margin CIOs and organizations are probably much more positive on that front and so now because there is no vaccine where you know CIOs and just in general the population we don't know when one is coming and so remote work seems to be the new norm moving forward especially that productivity you know levels are are pretty good with people working from home so from that perspective everything that looked like it was maybe going to be temporary just for the next few months as people work from home that's how organizations are now moving forward well and we saw Twitter basically said we're gonna make work from home permanent that's probably cuz their CEO wants to you know live in Africa Google I think is going to the end of the year I think many companies are going to look at a hybrid and give employees a choice say look if you want to work from home and you can be productive you get your stuff done you know we're cool with that I think the other point is you know everybody talks about these digital transformations you know leading into Kovan and I got to tell you I think a lot of companies were sort of complacent they talked the talk but they weren't walking the walk meaning they really weren't becoming digital businesses they really weren't putting data at the core and I think now it's really becoming an imperative there's no question that that what we've been talking about and forecasting has been pulled forward and you you're either going to have to step up your digital game or you're going to be in big trouble and the other thing that's I'm really interested in is will companies sub optimize profitability in the near term in order to put better business resiliency in place and better flexibility will they make those investments and I think if they do you know longer term they're going to be in better shape you know if they don't they could maybe be okay in the near term but I'm gonna put a caution sign a little longer term no look I think everything that's been done in the last few months you know in terms of having those continuation plans because you know do two pandemics all that stuff that is now it look you got to have that in your playbook right and so to your point you know this is where CIOs are going and if you're not transforming yourself or you didn't or you know lesson learned because now you're probably having to move twice as fast to support all your employees so I think you know this pandemic really kind of sped up you know digital transformation initiatives which is why you know you're seeing some companies desks and cloud related companies with very good earnings reports that are guiding well and then you're seeing other companies that are pulling their guidance because of uncertainty but it's it's likely more on the side of they're just not seeing the same levels of spend because if they haven't oriented themselves on that digital transformation side so I think you know events like this they typically you know Showcase winners and losers then you know when when things are going well and you know everything is kind of going up well I think that - there's a big you know discussion around is the ESPY overvalued right now I won't make that call but I will say this then there's a lot of data out there there's data and earnings reports there's data about this pandemic which change continues to change maybe not so much daily but you're getting new information multiple times a week so you got to look to that data you got to make your call pick your spot so you talk about a stock pickers market I think it's very much true here there are some some gonna be really strong companies emerging out of this you know don't gamble but do your research and I think you'll you'll find some you know some Dems out there you know maybe Warren Buffett can't find them okay but the guys at Main Street I think you know the I am I'm optimistic I wonder how you feel about about the recovery I I think we may be tainted by tech you know I'm very much concerned about certain industries but I think the tech industry which is our business is gonna come out of this pretty strong yeah we look at the one thing we we should we should have stated this earlier the majority of organizations are not expecting a v-shaped recovery and yet I still think there's part of the consensus is expecting a v-shaped recovery you can see as we demonstrate in some of the earlier charts the you know almost the majority of organizations are expecting a u-shaped recovery and even then as we mentioned right that you shape there is some cautious up around there and I have it you probably have it where yes if everything goes well it looks like 2021 we can really get back on track but there's so much unknown and so yes that does give I think everyone pause when it comes from an investment perspective and even just bringing on technologies and into your organization right which ones are gonna work which ones are it so I'm definitely on the boat of this is a more u-shaped in a v-shaped recovery I think the data backs that up I think you know when it comes to cloud and SAS players those areas and I think you've seen this on the investment side a lot of money has come out of all these other sectors that we mentioned that are having these l-shaped recoveries a lot of it has gone into the tech space I imagine that will continue and so that might be kind of you know it's tough to sometimes balance what's going on on the investor in the stock market side with you know how organizations are recovering I think people are really looking out in two to three quarters and saying look you know to your point where you set up earlier is there a lot of that pent up demand are things gonna get right back to normal because I think you know a lot of people are anticipating that and if we don't see that I think you know the next time we do some of these kind of coded flash bolts you know I'm interested to see whether or not you know maybe towards the end of the summer these recovery cycles are actually longer because maybe we didn't see some of that stuff so there's still a lot of unknowns but what we do know right now is it's not a v-shaped recovery agree especially on the unknowns there's monetary policy there's fiscal policy there's an election coming up there's a third there's escalating tensions with China there's your thoughts on the efficacy of the vaccine what about therapeutics you know do people who have this yet immunity how many people actually have it what about testing so the point I'm making here is it's very very important that you update your forecast regularly that's why it's so great that I have this partnership with you guys because we you know you're constantly updating the numbers it's not just a one-shot deal so suck it you know thanks so much for coming on looking forward to having you on in in the coming weeks really appreciate it absolutely yeah well I will really start kind of digging into how a lot of these emerging technologies are faring because of kovat 19 so that's I'm actually interested to start thinking through the data myself so yeah well we'll do some reporting in the coming weeks about that as well well thanks everybody for watching this episode of the cube insights powered by ETR I'm Dave Volante for sauger kuraki check out ETR dot plus that's where all the ETR data lives i published weekly on wiki bon calm and silicon angle calm and reach me at evil on Tay we'll see you next time [Music]

(upbeat music) >> From theCUBE Studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a Cube Conversation. >> As we've been reporting, the COVID-19 pandemic has created a bifurcated IT spending picture. And over the last several weeks, we've reported both in the macro and even some come at it from a vendor and a sector view. I mean, for example, we've reported on some of the companies that have really continued to thrive, we look at the NASDAQ and its near a toll-time hard. Companies like Okta and CrowdStrike, we've reported on Snowflake, UiPath. The sectors, RPA, some of the analytic databases around AI, maybe even to a lesser extent Cloud but still has a lot tailwinds relative to some of those on-prem infrastructure plays. Even companies like Cisco, bifurcated in and of themselves, where you see this more rocky side of the house doing quite well. The work-from-home stuff but maybe some of the traditional networking not as much. Well, now what if you flip that to really try to understand what's going on with the shape of the recovery which is the main narrative right now. Is it a V shape? Is it a U shape? What do people expect? And now to understand that, you really have to look at different industries because different industries are going to come back at a different pace. With me again is Sagar Kadakia, who's the Director of Research at ETR. Sagar, you guys are all over this, as usual timely information, it's great to see you again. Hope all is well in New York City. >> Thanks so much David, it's a pleasure to be back on again. >> Yeah, so where are we in the cycle? You've done a great job and very timely, ETR was the first to really put out data on the Covid impact with the server that ran from mid March to mid April. And now everybody's attention Sagar, is focused on, okay, we've started to come back, stores are starting to open, people are beginning to go out again and everybody wants to know what the shape of the recovery looks like. So, where are we actually in that research cycle for you guys? >> Yeah, no problem. So, like you said, in that kind of March, April timeframe, we really want to go out there and get an idea of what are going to be the budget impacts as it relates to IT because of COVID-19, right? So, we kind of ended off there around a decline of 5%. And coming into the year, the consensus was a growth of 4% or 5%, right? So, we saw about a 900 or 1000 base point swing, to the negative side. And then (murmurs) topic we covered in March and April were which sectors of vendors were going to benefit as a result of work-from-home. And so, now as we kind of fast forward to the research cycle as we kind of go more into May and into the summer, rather than asking those exact same question again, because it's just been maybe 40 or 50 days. We really want to (murmurs) on the recovery type as well as well as kind of more emerging private vendors, right? We want it to understand what's going to be the impact on these vendors that typically rely on larger conferences, more in person meetings, because these are younger technologies. There's not a lot of information about them. And so, last Thursday we launched our biannual emerging technology study. It covers roughly 300 private emerging technologies across maybe 60 sectors of technology. And in tandem, we've launched a COVID Flash Poll, right? What we want to do was kind of twofold. One really understand from CIOs the recovery type they had in mind, as well as if they were seeing any kind of permanent changes in their IT, stacks IT spend because of COVID-19. And so, if we kind of look at the first chart here, and kind of get more into that first question around recovery type, what we asked CIOs in this kind of COVID Flash Poll, again, we did it last Thursday was, what type of recovery are you expecting? Is it V-shaped so kind of of a brief decline, maybe 1/4, and then you're going to start seeing growth into 2 each 20. Is it U-shaped? So two to 3/4 of a decline or deceleration revenue, and you're kind of forecasting that growth in revenue as an organization to come back in 2021. Is it L-shaped, right? So, maybe three, four or 5/4 of a decline or deceleration. And very minimal to moderate growth or none of the above, your organization is actually benefiting from COVID-19, as we've seen some many reports. So, those are kind of the options that we gave CIOs and you kind of see them at first chart here. >> Well, interesting. And this is a survey, a flash of survey, 700 CIOs or approximately. And the interesting thing I really want to point out here is, the COVID pandemic, it didn't suppress all companies, and the return is it's not going to be a rising tide that lifts all ships. You really got to do your research. You have to understand the different sectors, really try to peel back the onion skin and understand why there are certain momentum, how certain organizations are accommodating the work from home. We heard several weeks ago, how there's a major change in networking mindsets we're talking about how security is changing. We're going to talk about some of the permanents, but it's really, really important to try to understand these different trends by different industries, which we're going to talk about in a minute. But if you take a look at this slide, I mean, obviously most people expect this U-shape decline. I mean, U-shape recovery rather. So it's two or 3/4 followed by some growth next year. But as we'll see, some of these industries are going to really go deeper with an L-shape recovery. And then it's really interesting that a pretty large and substantial portion see this as a tailwind, presumably those with strong SAS models, annual recurring revenue models, your thoughts? >> If we kind of start on this kind of aggregate chart, you're looking at about 44% of CEO's anticipate a U-shaped recovery, right? That's the largest bucket. Then you can see another 15% anticipate an L-shape recovery 14 on the V-shaped, and then 16% to your point that are kind of seeing this tailwind. But if we kind of focus on that largest bucket that U-shaped, one of the things to remember and again, when we asked this to CIOs within this kind of COVID Flash Poll, we also asked, can you give us some commentary? And so, one of the things that, or one of the themes that are kind of coming along with this U-shape recovery is CIOs are cautiously optimistic about this U-shape recovery. They believe that they can get back onto a growth cycle, into 2021, as long as there's a vaccine available. We don't go into a second wave of lockdowns. Economic activity picks up, a lot of the government actions become effective. So there are some kind of let's call it qualifiers, with this bucket of CIOs that are anticipating a U-shape recovery. What they're saying is that, "look, we are expecting these things to happen, "we're not expecting a lockdown, "we are expecting a vaccine. "And if that takes place, "then we do expect an uptake in growth, "or going back to kind of pre COVID levels in 2021." But I think it's fair to assume that if one or more of these are ups and things do get worse as all these States are opening up, maybe the recovery cycle gets pushed along. So kind of at the aggregate, this is where we are right now. >> Yeah. So as I was saying, you really have to understand the different, not only different sectors not only the different vendors, but you can really get to look into the industries, and then even within industries. So if we pull up the next chart, we have the industry sort of break down, and sort of the responses by the industry's V-shape, U-shape or L-shape. I had a conversation with a CIO of a major resort, just the other day. And even he was saying, well, it was actually, I'll tell you it was Wyndham Resorts, public company. I mean, and obviously that business got crushed. They had their earnings call the other day. They talked about how they cut their capex in half. But the stock, Sagar, since the March loss is more than doubled. >> Yeah. >> It was just amazing. And now, but even there, within that sector, they're appealing that on you are doing well, certain parts are going to come back sooner, certain parts are going to take longer, depending on, what type of resort, what type of hotel. So, it really is a complicated situation. So, take us through what you're seeing by industry. >> Yeah, sure. So let's start with kind of the IT-Telco, retail, consumer space. Dave to your point, there's going to be a tremendous amount of bifurcation within both of those verticals. Look, if we start on the IT-Telco side, you're seeing a very large bucket of individuals, right over 20%? That indicated they're seeing a tailwind or additional revenue because of COVID-19 and Dave, we spoke about this all the way back in March, right? All these work from home vendors. CIOs were doubling down on Cloud and SAS and we've seen how some of these vendors have reported in April, with very good reports, all the major Cloud vendors, right? Like Select Security vendors. And so, that's why you're seeing on the kind of Telco side, definitely more positivity, right? As you relates to recovery type, right? Some of them are not even going through recovery. They're seeing an acceleration, same thing on the retail consumer side. You're seeing another large bucket of people who are indicating, "look, we've benefited." And again, there's going to be a lot of bifurcation, there's been a lot of retail consumers. You just mentioned with the hotel lines, that are definitely hurting. But if you have a good online presence as a retailer, and you had essential goods or groceries, you benefited. And those are the organizations that we're seeing really indicate that they saw an acceleration due to COVID-19. So, I thought those two verticals between kind of the IT and retail side, there was a big bucket of people who indicated positivity. So I thought that was kind of the first kind of as we talked about kind of feeling this onion back. That was really interesting. >> Tech continues to power on, and I think a lot of people try, I think somebody was saying that the record time in which we've developed a vaccine previously was like mumps or something. I mean, it was just like years. But now today, 2020, we've got AI, we've got all this data, you've got these great companies all working on this. And so, wow, if we can compress that, that's going to change the equation. A couple of other things Sagar that jump out at me here in this chart that I want to ask you about. I mean, the education, the colleges, are really kind of freaking out right now, some are coming back. I know, like for instance, my daughter at University of Arizona, they're coming back in the fall indefinitely, others are saying, no. You can clearly see the airlines and transportation, has the biggest sort of L-shape, which is the most negative. I'm sure restaurants and hospitality are kind of similar. And then you see energy which got crushed. We had oil (laughs) negative people paying it, big barrels of oil. But now look at that, expectation of a pretty strong, U-shape recovery as people start driving again, and the economy picks up. So, maybe you could give us some thoughts on some of those sort of outliers. >> Yeah. So I kind of bucket the next two outliers as from an L-shaped and a U-shaped. So on the L-shaped side, like you said, education airlines, transportation, and probably to a little bit lesser extent, industrials materials, manufacturing services consulting. These verticals are indicating the highest percentages from an L-shaped recovery, right? So, three plus 1/4 of revenue declines in deceleration, followed by kind of minimal to moderate growth. And look, there's no surprise here. Those are the verticals that have been impacted the most, by less demand from consumers and businesses. And then as you mentioned on the energy utility side, and then I would probably bucket maybe healthcare, pharma, those have some of the largest, percentages of U-shaped recovery. And it's funny, like I read a lot of commentary from some of the energy and the healthcare CIOs, and they were saying they were very optimistic (laughs) about a U-shaped type of recovery. And so it kind of, maybe with those two issues that we could even kind of lump them into, probably to a lesser extent, but you could probably lump it into the prior one with the airlines and the education and services consulting, and IMM, where these are definitely the verticals that are going to see the longest, longest recoveries. And it's probably a little bit more uniform, versus what we've kind of talked about a few minutes ago with IT and retail consumer where it's definitely very bifurcated. There's definitely winners and losers there. >> Yeah. And again, it's a very complicated situation. A lot of people that I've talked to are saying, "look, we really don't have a clear picture, "that's why all these companies are not giving guidance." Many people, however, are optimistic only for a vaccine, but also their thinking is young people with disposable income, they're going to kind of say,"Damn the torpedoes, "I'm not really going to be exposed." >> And they could come back much stronger, there seems to be pent up demand for some of the things like elective surgery, or even some other sort of more important, healthcare needs. So, that obviously could be a snapback. So, obviously we're really closely looking at this, one thing though is certain, is that people are expecting a permanent change, and you've got data that really shows that on the next chart. >> That's right. So, one of the last questions that we ask kind of this quick COVID Flash Poll was, do you anticipate permanent changes to your kind of IT stack, IT spend, based on the last few months? As everyone has been working remotely, and rarely do you see results point this much in one direction, but 92% of CIOs and kind of high level IT end users indicated yes, there are all going to be permanent changes. And one of the things we talked about in March, and look, we were really the first ones, in our discussion, where we were talking about work from home spend, kind of negating or bouncing out all these declines, right? We were saying, look, yes, we are seeing a lot of budgets come down, but surprisingly, we're seeing 20,30% of organizations accelerate spend. And even the ones that are spending less, even them, some of their budgets are kind of being negated by this work from home spend, right? When you think about collaboration tools and additional VPN and networking bandwidth, and laptops and then security, all that stuff. CIOs now continue to spend on, because what CIOs now understand is productivity has remained at very high levels, right? In March CIOs were very concerned with the catastrophe and productivity that has not come true. So on the margin CIOs and organizations are probably much more positive on that front. And so now, because there is no vaccine, where we know CIOs and just in general, the population, we don't know when one is coming. And so remote work seems to be the new norm moving forward, especially that productivity levels are pretty good with people working from home. So, from that perspective, everything that looked like it was maybe going to be temporary, just for the next few months, as people work from home, that's how organizations are now moving forward. >> Well, and we saw Twitter, basically said, "we're going to make work from home permanent." That's probably because their CEO wants to live in Africa. Google, I think, is going to the end of the year. >> I think many companies are going to look at a hybrid, and give employees a choice, say, "look, if you want to work from home "and you can be productive, you get your stuff done, we're cool with that." I think the other point is, everybody talks about these digital transformations leading into COVID. I got to tell you, I think a lot of companies were sort of complacent. They talk the talk, but they weren't walking the walk, meaning they really weren't becoming digital businesses. They really weren't putting data at the core. And I think now it's really becoming an imperative. And there's no question that what we've been talking about and forecasting has been pulled forward, and you're either going to have to step up your digital game or you're going to be in big trouble. And the other thing I'm really interested in is will companies sub-optimize profitability in the near term, in order to put better business resiliency in place, and better flexibility, will they make those investments? And I think if they do, longer term, they're going to be in better shape. If they don't, they could maybe be okay in the near term, but I'm going to put up a caution sign, although the longer term. >> Now look, I think everything that's been done in the last few months, in terms of having those continuation plans, due to pandemics and all that stuff, look, you got to have that in your playbook, right? And so to your point, this is where CIOs are going and if you're not transforming yourself or you didn't before, lesson learned, because now you're probably having to move twice as fast to support all your employees. So I think this pandemic really kind of sped up digital transformation initiatives, which is why, you're seeing some companies, SAS and Cloud related companies, with very good earnings reports that are guiding well. And then you're seeing other companies that are pulling their guidance because of uncertainty, but it's likely more on the side if they're just not seeing the same levels of spend, because if they haven't oriented themselves, on that digital transformation side. So I think events like this, they typically showcase winners and losers than when things are going well. and everything's kind of going up. >> Well, I think that too, there's a big discussion around is the S&P over valued right now. I won't make that call, but I will say this, that there's a lot of data out there. There's data in earnings reports, there's data about this pandemic, which it continues to change. Maybe not so much daily, but we're getting new information, multiple times a week. So you got to look to that data. You got to make your call, pick your spots, earlier you talk about a stock pickers market. I think it's very much true here. There are some going to be really strong companies. emerging out of this, don't gamble but do your research. And I think you'll find some gems out there, maybe Warren buffet can't find them okay. (laughs) But the guys at main street. I'm optimistic, I wonder how you feel about the recovery. I think I maybe tainted by tech. (laughs). I'm very much concerned about certain industries, but I think the tech industry, which is our business's, going to come out of this pretty strong? >> Yeah. Look, the one thing we should have stated this earlier, the majority of organizations are not expecting a V-shaped recovery. And yet I still think there's part of the consensus is expecting a V-shaped recovery. You can see as we demonstrate in some of the earlier charts, That U-shaped, there is some cautious optimism around there, almost the majority of organizations are expecting a U-shape recovery. And even then, as we mentioned, right? That U-shape, there is some cautious optimism around there, and I have it, you probably have it where. Yes, if everything goes well, it looks like 2021 we can really get back on track. But there's so much unknown. And so yes, that does give I think everyone pause when it comes from an investment perspective, and even just bringing on technologies. into your organization, right? Which ones are going to work, which ones aren't? So, I'm definitely on the boat of, this is a more U-shaped in a V-shape recovery. I think the data backs that up. I think when it comes to Cloud and SAS players, those areas, and I think you've seen this on the investment side, a lot of money has come out of all these other sectors that we mentioned that are having these L-shaped recoveries. A lot of it has gone into the text-based. I imagine that will continue. And so that might be kind of, it's tough to sometimes balance what's going on, on the investment that stock market side, with how organizations are recovering. I think people are really looking out into two, 3/4 and saying, look to your point where you said that earlier, is there a lot of that pent up demand, are things going to get right back to normal? Because I think a lot of people are anticipating that. And if we don't see that, I think the next time we do some of these kind of COVID Flash Polls I'm interested to see whether or not, maybe towards the end of the summer, these recovery cycles are actually longer because maybe we didn't see some of that stuff. So there's still a lot of unknowns. But what we do know right now is it's not a V-shaped recovery. >> I agree, especially on the unknowns, there's monetary policy, there's fiscal policy, there's an election coming up. >> That's fine. >> There's escalating tensions with China. There's your thoughts on the efficacy of the vaccine? what about therapeutics? Do people who've had this get immunity? How many people actually have it? What about testing? So the point I'm making here is it's very, very important that you update your forecast regularly That's why it's so great to have this partnership with you guys, because you're constantly updating the numbers. It's not just a one shot deal. So Sagar, thanks so much for coming on. I'm looking forward to having you on in the coming weeks. Really appreciate it. >> Absolutely. Yeah, we'll really start kind of digging into how a lot of these emerging technologies are fairing because of COVID-19. So, I'm actually interested to start digging through the data myself. So yeah, we'll do some reporting in the coming weeks about that as well. >> Well, thanks everybody for watching this episode of theCUBE Insights powered by ETR. I'm Dave Vellante for Sagar Kadakia, check out etr.plus, that's where all the ETR data lives, I publish weekly on wikibond.com and siliconangle.com. And you can reach me @dvellante. We'll see you next time. (gentle music).

>> Announcer: From theCUBE studios in Palo Alto and Boston connecting with thought leaders all around the world. This is a CUBE conversation. >> Hello everybody, welcome to this special CUBE conversation. My name is Dave Vellante and you're watching theCUBE. We're here with Sanjay Poonen who's the COO of VMware and a good friend of theCUBE. Sanjay great to see you. Thanks for coming on. >> Dave it's a pleasure. In these new circumstances, shelter at home and remote working. I hope you and your family are doing well. >> Yeah, and back at you Sanjay. Of course I saw you on Kramer Mad Money the other night. I was jealous. I said, "I need Sanjay on to get an optimism injection." You're a great leader And I think, a role model for all of us. And of course the "Go Niners" in the background really incented me to get-- I got my Red Sox cap and we have a lack of sports, but, and we miss it, But hey, we're making the best. >> Okay Red Sox is better than the Patriots. Although I love the Patriots. If i was in the east coast, especially now that Brady's gone. I guess you guys are probably ruing a little bit that Jimmy G came to us. >> I am a huge Tampa Bay fan all of a sudden. I be honest with you. Tom Brady can become a Yankee and I would root for them. I tell you that's how much I love the guy. But anyway, I'm really excited to have you on. It's obviously as you mentioned, these times are tough, but we're making the best do and it's great to see you. You are a huge optimist, but I want to ask you, I want to start with Narendra Modi just announced, basically a lockdown for 21 days. 1.3 billion people in your native country. I wonder if you could give us some, some thoughts on that. >> I'm, my parents live half their time in Bangalore and half here. They happen to be right now in the US, and they're doing well. My dad's 80 and my mom's 77. I go to India a lot. I spent about 18 years of my life there, and the last 32 odd years here and I still go there a lot. Have a lots friends and my family there. And , it's I'm glad that the situation is kind of , as best as they can serve it. It's weird, I was watching some of the social media photos of Bangalore. I tweeted this out last night. The roads look so clean and beautiful. I mean, it looks like 40 years ago when I was growing up. When I would take a bicycle to school. I mean Bangalore's one of the most beautiful cities in India, very green and you can kind of see it all again. And I think, as I've been watching some of the satellite photos of the various big cities to just watch sort of Mother Nature. Obviously, we're in a tough time and, I open my empathy and thoughts and prayers go to every family that's affected by this. And certainly ones who have lost loved ones, but it's sort of, I think it's neat, that we're starting to see some of the beautiful aspects of nature. Even as we deal with the tough aspects of sheltered home. And the incredible tough impacts of this pandemic across the world. >> Yeah, I think you're right. There is a silver lining as much as, our hearts go out to those that are that are suffering. You're seeing the canals in Venice run clear. As you mentioned, the nitrous oxide levels over China. what's going on in Bangalore. So, there is a little bit of light in the end of the tunnel for the environment, I hope. and at least there's an indication that we maybe, need to be more sensitized to this. Okay, let's get into it. I want to ask you, so last week in our breaking analysis. We worked with a data company called ETR down in New York City. They do constant surveys of CIO's. I want to read you something that they came out with just on Monday and get your reaction. Basically, their annual growth and IT spend they're saying, is showing a slight decline for 2020. As a significant number of organizations plan to cut and/or delay IT expenditures due to the coronavirus. Though the current climate may suggest worse many organizations are accelerating spending for 2020 as they ramp up their work-from-home infrastructure. These organizations are offsetting what would otherwise be a notable decline in global IT spend versus last year. Now we've gone from the 4% consensus at the beginning of the year. ETR brought it down to zero percent and then just on Monday, they went to slight negative. But, what's not been reported widely is the somewhat offsetting factor of work-from-home infrastructure. VMware obviously plays there. So I wonder if you could comment on what you're seeing. >> Yeah, Dave, I think , we'll have to see . I'm not an economic pundit. So we're going to have to see what the, IT landscape looks like in the overall sense and we'll probably play off GDP. Certain industries: travel, hospitality, I mean, it's brutal for them. I mean, and I hope that, what I really hope, that's going to happen to that industry, especially there's an infusion through recovery type of bill. Is that no real big company goes under, and goes bankrupt. I mean kind of the situation in 2008. I mean, people wondering what will happen to the Airlines. Boeing, hospital-- these are ic-- some of them like Boeing are iconic brands of the United States and of the world. There's only two real companies that make planes. So we've got to make sure that those industries stay afloat and stay good for the health of the world. Health of the US economy, jobs, and so on. That's always one end. Listen, health and safety of our employees always comes first. Before we even think about that. I always tell people the profits of VMware will wait if you are not well, if your loved ones not well, if your going to take care of people, take care of that first. We will be fine. This too shall pass. But if you're healthy, let's turn our attention because we're not going to just sit at home and play games. We're going to serve our customers. How do we do that? A lot of our customers are adjusting to this new normal. As a result, they have to either order devices with a laptop, screens, things of those kinds, to allow a work-from-home environment to be as close to productive as they work environment. So I expect that there will be a surge in the, sort of, end points that people need. I will have to see how Dell and HP and Lenovo, but I expect that they will probably see some surge in their laptops. As people, kind of, want those in the home and hopefully their supply chains are able to respond. But then with every one of those endpoints and screens that we need now for these types of organizations. You need to manage them, end point management. Often, you need virtual desktops on them. You need to end point security and then in some cases you will probably need, if it's a remote office, branch office, and into the home office, network security and app acceleration. So those Solutions, end point management, Workspace ONE, inclusive of a full-fledged virtual desktop capability That's our product Workspace ONE. Endpoint Securities, Carbon Black and the Network Platform NSX being software-defined was relegated for things like, load balancers and SDWAN capabilities and it's kind of almost feels like good, that we got those solutions, the last three, four years through acquisitions, in many cases. I mean, of course, Airwatch and Nicira were six, seven, eight years ago. But even SD-WAN, we acquired Velocloud three and a half years ago, Carbon Black just four months ago, and Avi in the last year. Those are all parts of that kind of portfolio now, and I feel we were able to, as customers come to us we're not going in ambulance-chasing. But as customers come to us and say, "What do you have as a work-at-home "for business continuity?" We're able to offer them a solution. So we did a webcast earlier this week. Where we talked about, we're calling it work in home with business continuity. It's led with our EUC offerings Workspace ONE. Accompanied by Carbon Black to secure that, and then underneath it, will obviously be the cloud foundation and our Network capabilities of NSX. >> Yeah, so I want to double down on that because it was not, the survey results, showed it was not just collaboration tools. Like Zoom and WebEx and gotomeeting Etc. It was, as you're pointing out, it was other infrastructure that was of VPN's. It was Network bandwidth. It was virtualization, security because they need to secure that work-from-home infrastructure. So a lot of sort of, ancillary activity. It was surprising to me, when I saw the data, that 21% of the CIO's that we surveyed, said that they actually plan on spending more in 2020 because of these factors. And so now we're tracking that daily. And the sentiment changes daily. I showed some other data that showed the CIO sentiment through March. Every day of the survey it dropped. Okay, so it's prudent to be cautious. But nonetheless, people to your point aren't just sitting on their hands. They're not standing still. They're moving to support this new work-from-home normal. >> Yeah, I mean listen, I forgot to say that, Yeah, we are using the video collaboration tools. Zoom a lot. We use Slack. We'll use Teams. So we are, those are accompanied. We were actually one of the first customers to use Zoom. I'm a big fan of my friend Eric Yuan and what they're doing there in modernizing, making it available on a mobile device. Just really fast. They've been very responsive and they reciprocated by using Workspace ONE there. We've been doing ads joined to VMware and zoom in the market for the last several years. So we're a big fan of their technology. So far be it from me to proclaim that the only thing you need here's VMware. There's a lot of other things on the stack. I think the best way, Dave, for us that we've sought to do this is again, I'm very sensitive to not ambulance-chase, which is, kind of go after this. To do it authentically, and the way that authentically is to be, I think Satya Nadella put this pretty well in an interview he did yesterday. Be a first responder to the first responder. A digital first responder, if I could. So when the, our biggest customers are hospital and school and universities and retailers and pharmacies. These are some of our biggest customers. They are looking, in some cases, actually hire more people to serve their communities and customers. And every one of them, as they , hire new people and so and so on, will I just naturally coming to us and when they come to us, serve them. And it's been really gratifying Dave. If I could read you the emails I've been getting the last few days. I got one from a very prominent City, the United States, the mayor's office, the CTO, just thanking us and our people. For being available who are being careful not to, we're being very sensitive to the pricing. To making sure customers don't feel like, in any way, that we're looking at the economics of it will always come just serve your customer. I got an email yesterday from a very large pharmacy. Routinely we were talking to folks in the, in the healthcare industry. University, a president of a school. In fact, Southern New Hampshire University, who I mentioned Jim Cramer. Sent me a note saying, "hey, we're really grateful you even mentioned our name." and I'm not doing this because, Southern New Hampshire University is doing an incredible job of moving a lot of their platform to online to help tens of thousands. And they were one of the early customers to adopt virtual desktops, and the cloud desktops, and the services. So, as we call. So in any of these use cases, I just tell our employees, "Be authentic. "First off take care of your families. "It's really important to take care of your own health and safety. But once you've done that, be authentic in serving our customers." That's what VR has always done. From the days of dying green, to bombers, to Pat, and all of us here now. Take care of our customers and we'll be fine. >> Yeah, and I perfectly understand your sensitivity to that notion of ambulance-chasing and I'm by no means trying to bait you into doing that. But I would stress, the industry needs you and the tech it-- many in the tech industry, like VMware, have very strong balance sheets. They're extremely viable companies and we as a community, as an industry, need companies like VMware to step up, be flexible on pricing, and terms, and payment, and things like that nature. Which it sounds like you're doing. Because the heroes that are on the front lines, they're fighting a battle every day, every hour, every minute and they need infrastructure to be able to work remotely with the stay-at-home mandates. >> I think that's right. And listen, let me talk a little bit of one of the things you talked about. Which is financing and we moved a lot of our business to increasingly, to the cloud. And SaaS and subscription services are a lot more radical than offer license and maintenance. We make that choice available to customers, in many cases we lead with cloud-first solutions. And then we also have financing services from our partners like Dell financial services that really allow a more gradual, radibal payment. Do people want financing? And , I think if there are other scenarios. Jim asked me on his show, "What will you do if one of your companies go bankrupt?" I don't know, that's an unprecedented, we didn't have, we had obviously, the financial crisis. I wasn't here at VMware during the dot-com blow up where companies just went bankrupt in 2000. I was at Informatica at the time. So, I'm sure we will see some unprecedented-- but I will tell you, we have a very fortunate to be profitable, have a good balance sheet. Whatever scenario, if we take care of our customers, I mean, we have been very fortunate to be one of the highest NPS, Net promoter scorer, companies in the industry. And , I've been reaching out to many of our top customers. Just a courtesy, without any agenda other than, we're just checking in. A friend in need is a friend indeed. It's a line that I remembered. And just reach out your customers. Hey listen. Checking in. No, other than can we help you, if there's anything and thank you, especially for ones who are retailers, pharmacies, hospitals, first responders. Thank them for what they're doing to serve many of their people. Especially people in retail. Think about the people who have to go into warehouses to service us, to deliver the stuff that comes to our home. I mean, these people are potentially at risk, but they do it. Put on masks. Braving health situations. That often need the paycheck. We're very grateful for that, and our hope is that this world situation, listen, I mentioned it on on TV as a kind of a little bit of a traffic jam. I love to ski and when I go off and to Tahoe, I tell my family, "I don't know how long it's going to take." with check up on Waze or Google Maps and usually takes four hours, no traffic. Every now and then it'll take five, six, seven. Worst case eight. I had some situation, never happen to me but some of my friends would just got stuck there and had to sleep in their car. But it's pretty much the case, you will eventually get there. I was talking to my dad, who is 80, and he's doing well. And he said, this feels a little bit like World War Two because you're kind of, in many places there. They had a bunker, shelter. Not just shelter in place, but bunker shelter in that time. But that lasted, whatever five, six years. I don't think this is going to last five, six years. It may be five, six months. It might be a whole year. I don't know. I can guarantee it's not going to be six years. So it won't be as bad as World War two. It certainly won't be as bad as the Spanish Flu. Which took 39 people and two percent of the world. Including five percent of my country, India in the 1918 to 1920 period, a hundred years ago. So we will get through this. I like, we shall overcome. I'm not going to sing it for you. It's one of my favorite Louis Armstrong songs, but find ways by which you encourage, uplift people. Making sure, it is tough, it is very tough times and we have to make sure that we get through this. That jobs are preserved as best as we can because that's the part I'm really, really concerned about. The loss of jobs and how we're going to recover as US economy, but we will make it through this. >> Yeah, and I want to sort of second what you're saying. That look, I know there are a lot of people at home that going a little bit stir crazy and this, the maybe a little bit of depression setting in. But to your point, we have to be empathic for those that are suffering. The elderly, who are in intensive care and also those frontline workers. And then I love your optimism. We will get through this. This is not the Spanish Flu. We have, it's a different world, a different technology world. Our focus, like many other small businesses is, we obviously want to survive. We want to maintain our full employment. We want to serve our customers and we, as you, believe that that is the recipe for getting through this. And so, I love the optimism. >> And listen, and we can help be a part of my the moment you texted me and said, "Hey, can I be in your show?" If it helps you drive, whatever you need, sponsorship revenue, advertising. I'm here and the same thing for all of our friends who have to adjust the way in which the wo-- we want to be there to help them. And I've chosen as best as I can, in terms of how I can support my family, the sort of five, five of us at home now. All fighting over bandwidth, the three kids, and my wife, and I. To be positive with them, to be in my social media presence, as best as possible. Every day to be positive in what I tweet out to the world And point people to a hope of what's going to come. I don't know how long this is going to last. But I can tell you. I mean, just the fact that you and I are talking over video interview. High fidelity, reasonably high fidelity, high bandwidth. The ability to connect. I mean it is a whole lot better than a lot of what happened in World War 2 or the Spanish flu. And I hope at the end of it, some of us, some of this will forever change our life. I hope for for example in a lot of our profession. We have to travel to visit customers. And now that I'm building some of these relationships virtually. I hope that maybe my travel percentage will drop. It's actually good for the environment, good for my family life. But if we can lower that percentage, still get things done through Zoom calls, and Workspace ONE, and things of those kinds, that would be awesome. So that's how I think about the way in which I'm adapting my life. And then I set certain personal goals. This year, for example, we're expanding a lot of our focus in security. We have a billion dollar security business and we're looking to grow that NSX, Common Black, Workspace ONE, and accompanying tools and I made it a goal to try and meet at all my sales teams. A thousand C-ISOs. I mean off I know a lot of CIO's in the 25 years, I've had, maybe five, six thousand of them in the world. And blessed to build that relationship over the years of my SAP and VMware experience, but I don't know. I mean, I knew probably 50 or 100. Maybe a few hundred CISO's. And now that we have a portfolio it's relevant to grant them and I think very compelling across network security and End Point security. We own the companies with such a strong portfolio in both those areas. I'm reaching out to them and I'm happy to tell you, I connected, I've got the names of 1,000 of the top CISO's in the Fortune 1000, Global 2000, and connecting with many of them through LinkedIn and other mixers. I hope I talked to many of them through the course of the year. And many of them will be virtual conversations. Again, just to talk to them about being a trusted advisor to us. Seeing if we can help them. And then of course, there will be a product pitch for NSX and Carbon Black and how we're different from whoever it is, Palo Alto and F5 and Netscaler and the SD line players or semantic McAfee Crowdstrike. We're differentiated so I want to certainly earn some of the business. But these are ways in which you adjust to a virtual kind of economy. Where I'm not having to physically go and meet them. >> Yeah, and we share your optimism and those CISO's are, they're heroes, superheroes on the front line. I'll tell ya a quick aside. So John Furrier and I, we're in Barcelona. When really, the coronavirus came to our heightened awareness and John looked at me and said, "Dave we've been doing digital for 10 years. "We have to take all of the software that we've developed, "all these assets and help our customers pivot." So we share that optimism and we're actually lucky to be able to have the studios and be able to have these conversations with you guys. So again, we share that, that optimism. I want to ask you, just on guidance. A lot of companies have come out and said we're not giving guidance anymore. I didn't see anything relative to VMware. Have you guys announced anything on guidance in terms of how you're going to communicate? Where are you at with that? >> No, I think we're just, I mean listen, we take this very carefully because of reg FD and the regulations of public company. So we just allow the normal quarterly ins. And of outside of that, if our CFO decides they may. But right now we're just continuing business as usual. We're in the middle of our, kind of, whatever, middle of our quarter. Quarter ends April. So work hard do the best we can in all the regions, be available for all of our teams. Pat, myself, and others we're, to the extent that we're healthy and we're doing well, but thank God, is reach out to CISO's and CIO's and CTO's and CEOs and help them. And I believe people will spend money. The questions we have to go over. And I think the stronger will survive. The companies with better balance sheet and unfortunately, some of the weaker companies won't. And I think quite frankly, if you do your job well. I don't mean this in any negative sense. The stronger companies will take share in these environments. I was watching a segment for John Chambers. He has been through a number of different, when I know him, so an I have, I've talked to him about some of the stuff. He will tell you that he, advises is a lot of his companies now. From the experiences he saw in 2008, 2001, in many of the crisis and supply chain issues. This is a time where leadership counts. The strong get stronger. Never waste a good crisis, as Winston Churchill said. And as you do that, the strong will come strong because you figure out ways by which, if you're going to make changes that were planned for one or two years from now. Maybe a good time to make them is now. And as you do that you communicate a vision for where you're going. Very clearly to your employees. Again incessantly over and over again. They, hopefully, are able to repeat it in their own words in a simple fashion, and then you get all of your employees in our case 30,000 plus employees of VMware lined up. So one of the things that we've been doing a lot of these days is communicate, communicate, communicate, internally. I've talked a lot about our communication with customer. But inside, our employees, we do calls with our top leaders over Zoom. Calls, intimate calls, and many, often we're adjusting to where I'll say a few words. I have a mandatory every two week goal with all of my senior most leaders. I'll speak for about five minutes and then for the next 25 minutes, the top 12, 15 of them I listen. To things, I want all of them to speak up. There's nobody who should stay silent, because I want to hear what's going on in that corner of the world. >> But fantastic Sanjay. Well, I mean, Boeing, I heard this morning's going to get some support from the government. And strategically that's very important for our country. Congress finally passed, looks like they're passing that bill, and support which is awesome. It's been, especially for all these small businesses that are struggling and want to maintain full employment. I heard Steve Mnuchin the other day saying, "Look, we're talking about two months of payroll "for people if they agree to keep people employed. "or hire them back." I mean the Fed. people say, oh the FED is out of arrows. The Feds, not out of arrows. I mean, I'm not an economist either. But the Fed. has a lot of bullets in their gun, as they say. So Sanjay, thanks so much. You're an awesome leader and really an inspirational executive and a good friend so thank you so much for coming on theCUBE. >> Dave, always a pleasure. Please say hi to all of my friends, your co-anchors, and the staff at CUBE. Thank them for all their hard work. It's a pleasure to talk to you this morning. I wish you, your family, and your friends and all of our community, stay safe and be well. >> Thank you Sanjay and thank you for watching everybody. This is Dave Vellante for the cube and we'll see you next time. (soft music)

from New York it's the cube covering escape 19 okay welcome back to the cube coverage New York City for the inaugural multi-cloud conference the first one ever in the industry is called escape 2019 we're in New York so escapee from New York City from cloud that's the conversation all the thought leaders are here and executives people thinking about the next generation architecture and top tracks are all here if it's Wednesday who's the chief information security officer for Flextronics flex let's thank you for coming on love to have see so some because security seems to be there always a top conversation you got a very busy job I do yes you heard a lot of pressure all the time it's fun it's so fun for me so yeah as a Caesar and it's always like security stop in mind right of everyone out these days yeah and it's very sir one of the most interesting job I think most of the interesting for my trophies I learned so much about our business and they have insight into so many things that's actually really great you know one of the things I was just talking about on the kind of cube conversation was you know how date is really important part of it and how data backup and recovery was built on old thinking around you know data centers failing floods hurricanes electricity gets outages but the biggest disruption in business today is security security threats and so that's the cyber security pressure it's causing CISOs to to be mindful of the best architecture the best platform do we have the right tools so I wanna get your thoughts how are you thinking about that as an organization because you are you building in-house developers are you how you how are you organizing how are you gearing up to fight the battles that need to be fought so I am and I'm with the company so if Lex is a big manufacturing company right 26 billion so we have a lot of p2p business not consumer business which is I believe a different perspective of security versus actually like a consumer company facing so and I'm if in a security team for 15 years so we put it up like security operations and the orders kind of things really right we're old school I am what school learnt everything in that right but you a lot of IOT I mean you just really achieve oh yeah Industrial tea it's one of the topic but coming back to you you're right data is actually the center in Flour business data is getting more center right you collect data from the machine you collect data actually for the business actually to make more decisions right and could be predictive maintenance could be inventory management there could be a lot of things right you have to think about it so and the funny thing is I'm real I'm the seasonal for five years 15 years with the security team 20 years with the company so I rebuilt the team always like every three four years you like it's a kind of rebirth of the team we renew we add new skills right and cloud is one of the things which I think it's a fundamental change and the change is actually with it's actually on the development side what it means with that it's a security team has to move to serve the developers and the problem if the wood school was always like it's after sort so why I secured to such an issue because we had to do patching after we found vulnerabilities right and then old network is unsecure you need to wrap something around that like we did firewall so it was always an after sort now with the cloud it's changing because you have a lot of different things to do but basically we need to enable developers to be very quick and deploy their software very quickly so you know it is a fundamental change in the way you have to think the particular yeah and then that brings up the good question love to ask you because given you guys again not a consumer like Capital One yeah they don't challenge they got they weren't hacked Amazon actually the firewall was misconfigured an s3 bucket but that's a consumer company you have data though you're an industrial company got a lot of industrial IOT ransomware folks are targeting data yes and everyone's a target it's your surface area is large but you probably lock that down in the past so how are you thinking about all this new stuff so yeah I mean IOT it's I mean I would tease the problem as you said Industrial right it's not solved yet completely right because they still have to rethink a lot of the vendors providing this machinery which you've purchased for 25-30 years right this Silla wood school right sometimes like the one witness you can't upgrade or whatever such basic things they'd be lacking actually in terms of security there still has to be a shift in this you know not just in the industry but in a general thinking how you do that yes I have a big environment so we locked it down we use a lot of innovative technologies actually preventive measurements was also detected measuring and you need to create kind of mightily a concept where you actually start okay what is if this figures how we test it okay this face do we have other measurements where we can try to prevent measure stop those kind of things right but Wrentham is a big one there's other things as you know like hacking I mean they're kept in I was healing probably the capital one was an interesting money my I believe in that for the cloud its configuration issues right which I think it comes with cloud security it's about policy and configuration management right how you manage that and how you think about it but it's not it was not a nation gonna solve that I mean that's a open s3 bucket that's trivial I wasn't a big yes and no you look if you look at that it was a little bit more in detail so it was actually the back firewall was misconfigured which is a mod security running on a fresh air but the Miss configuration was actually a SS as server surgery force request issue which means like you tricked this firewall in giving you information you shouldn't give you so it was a little bit more granular as people think it was right just as free pocket configuration so it was a little bit more greener but I think that's the word the difficult comes about it which every security it's a complex problem right it's the many things you have - configuration error it was a configuration dumb as an s3 bucket no it was not rounded more sophisticated but not that sophisticated was it yellow what the change I would not sophisticated but something it's not easy to solve so you have to think about it but you're right it's still something exploit from a corner case it's still something you could have I mean I I'm careful to say you could have avoided yes you could because that's for sure but I know it's a complex environment right I'm not a human as humans involved and I know I don't know that eaters exactly we only know that once it's published right so it's very hard to to charge well let's bring some cloud security so let me ask you on multi-cloud this is a multi cloud conference what's your definition of multi-cloud how do you look at the multiple clouds for me more debris cloud is actually doesn't matter we had the good keynote where I said it's a bunch of service right that's how I see my two cloud it's a bunch of service could be my data centers in the public cloud data centers with different vendors that's what a cow is where I move my services should be actually independent from the public hybrid on-premise whatever it is right that's basically how I see it so it doesn't matter it's infrastructure on demand leverage it leverage it it could be say hey today I spin off this test server but you know what today it seems to be a cheaper all running on the Eva Lovelace versus CPC let's do it here next day next week we might do it somewhere else whatever you trigger whatever what is your requirements so you'd only look at that resource that like that how do you think about the cloud security then because the configurations compliance how do you how do you stay on top of that so that's an interesting thing because we a big enterprise but we as you said know consumer business so our problem is to find the right skill set to attract the right people to our company to do that right because this is our we have some cloud but it's not yet there's a journey we are trying to do as most of the enterprise so we're looking into startups managed services we say okay where are the gaps where we have to really have to outsource some of the things and gaps where we need to get information what's your advice to other CISOs out there that are in the b2b space of none other deal to consumer but I have to get serious that is now becoming more industrialized on the IOT side because you guys have been you know been there done that you have a big footprint on the IOT because you're history but as people get more facilities and they have more virtual offices more people working the edge is extending what's your advice to those CEOs who have to deal with this industrial and IOT edge I think you have to visibility is the key ingredient is first right if you don't know what you have it's very hard to understand what's the risk portfolios right so you need to find the right to set and don't believe you know what they have it's fantastic what you see when you use the right tool what this is everything is connected I mean basically even like I found like this coffee market I connect the devices right it's like like everyone just don't understand like it's kind of light poles get both wake multi-threaded processor what is that doing so there's I mean but visibility is a key ingredient so you have to understand and then you have to look into how you might take a terrace what is your risk about it right I mean if the coffee mug goes down I don't really care but if my testicles sound and I shut down the production I really care about that so you need to understand that risk and say how can i mitigating risk so while I got you here what's your final question what's your message to suppliers out there that all want to sell you something they want to sell you another tool you know an another tool you know I got a platform I got a tool you mean this here 750 which is existing now like the cybersecurity if you go to I say conferences unbelievable right it's like I want to sell you something you're the top dog I use shrinking suppliers down are you looking at some sort of standard API way to deal with them because you know you're obviously probably thinking about platforming and data visibility is critical what's your philosophy on how to support medieval suppliers so usually honestly the most time I really go in so for innovative technology we built in our company our so-called strategic partnership program were being it for startups and most of the time we engage we start of services or through other channels right but you get introduced and you review with a proof of concept of value the technology and we try to keep it like as a minimum value product very short time and say okay let's show what you can where your gaps are and can we get with you guys and come and get you but don't send me an email don't call me because I usually not react I have a job to do so that's most of the time where the disease were what comes all of the guys that hey I found another scissors tell me there's great technology you should look into that and what shows do you go to what events do you hang out and what are good events for you in this in the space RSA Red Hat black depth on are there certain events that you go to that you think are valuable I mean it's easily I go to the to the RSA Conference ership because actually it's very close to me as well yeah and being part being out of Santa C I recommend the b-sides actually I like the peace sign that these guys are great the pieces are great I think they are real value and then I try to a smaller circus I'd be a fun person around papers there's b-sides for folks watching is an alternative group of community industry participants they have kind of a b-side of a side like an album but it's essentially community event they do hackathons and variety of other cool things where people get together very unstructured kind of cool conference addition to bigger conferences I can't recommend desk yeah bitch thanks for coming on and sharing your insights there's pleasure there's a cube coverage here in New York City we're not escaping from the University escape conference the first multi-cloud conference in the industry we'll see how it goes if they're successful they might be back next year if not they won't be but I think multi-class here today what do you think okay great thanks for coming on I'm John Fourier thanks for watching

[Announcer] - From New York, it's theCUBE! Covering ESCAPE/19. >> Hello, welcome back to theCUBE coverage here in New York City for the first inaugural Multi-Cloud Conference called ESCAPE/2019. I'm John Furrier, host of theCUBE. We're here with Natalie Gholmieh who is the Manager of Data and Integration Services at the University of California San Diego campus/office- sprawling data center, tons of IT, a lot of challenges, welcome. >> Yeah, thank you for having me. >> So, thanks for taking the time out. You're a practitioner, you're here. Why are you at this conference? What are you hoping to gain from here? What interests you here at the Multi-Cloud Escape Conference? >> So, this conference is very much within the spirit of what we're trying to do. Our CIO has directives which is to avoid lock-in, to do multi-vendor orchestration, to go with containers first, and open-source wherever possible. So, this conference pretty much speaks to all of that. >> So, this is a really interesting data point, because it seems the common thread is data. >> Mhmm. >> The cloud is an integration of things, so people are trying to find that integration point so they can have multiple vendors, multiple clouds. It seems like the multi-vendor world back in the old days, where you had multiple vendors, heterogeneous environment, data seems to be the linchpin in all this. >> Right, yes. >> That's what you do. >> Right. >> How do you think about this? Because it used to be that the big database ran the world, now you have lots of databases, you have applications. >> Right, yeah. >> Databases are everywhere now. >> Data is born in multiple systems, but the data is also an asset right now to all of the organizations, including the university. So, what we want to try to accomplish is to get all of this data possibly in one place, or in multiple places, and be able to do analytics on top of this, and this is what the value-added processing over the data. >> What's exciting to you these days in the University? You guys try to change the business, could be technology? What are the cool things that you like, that you're working with right now, or that you envision emerging? >> Yeah. So, my team is currently building a platform to do all of the data integration and we are planning to offer this platform as a service to developers to streamline and standardize application development, as well as integration development, within the central IT at the University. So this is pretty much the most exciting thing that we're doing, is putting together this platform that is quite complex, it is a journey that we're taking together with the people who already operate the existing systems. So we're putting up this new thing that we're operating in parallel and then we will be migrating to that new platform. >> I'm sure containers are involved, >> Yes. >> Kubernetes is a key part of it. >> Yes, mhmm. So, the platform has two parts. There is the application publishing with Docker and Kubernetes, and we also have the streaming side of it, to build the data pipeline with open-source tools like Apache NiFi and Apache Kafka. So this is going to be wiring the data pipelines from source to target and moving the data in real time in order to- >> And you see that as a nice way to keep an option to move from cloud to cloud? >> Potentially, since the platform's role is to decouple the infrastructure from development. That way, you could spin a portion of the platform on any cloud, pretty much, and run your workload anywhere you want. >> So classic DevOps. >> Yeah. >> Separate infrastructure as code, provide a codified layer. >> Yeah. >> So, let me ask you a question. How did you get into all this data business? I mean, what attracted you to the data field? What's your story? Tell us your story. >> So, the data, you know, I personally started, I mean, I had more of a networking background. Then I became Sys Admin, then I got into the business of logging and log aggregation for machine data, and then I was, you know, using that data to create dashboards of system health and, you know, data correlation, and this is what exposed me, personally, first to the data world, and then I saw the value in doing all of this with data, and the value is even more impactful to the business when you're working with actual business data. So I'm very excited about that. >> So you were swimming in the first data lake before data lakes were data lakes. >> Yes, yeah, right, for machine data. >> Once you're in there, you see value, the data exhaust comes in, as we used to say back in the day, data exhaust! >> Yeah. >> So, now that you're dealing with the business value, is the conversation the same? Or are they different conversations? Or is it still the same, kind of, data conversation? Or is the job the same? Because you still have machine data, applications are throwing off data, you have infrastructure data being thrown off, you have new software layers. >> Yes, yeah. >> Is it the same, or is it different? Describe your current situation. >> You know, maybe the concepts are the same, but I think the logging machine data has more value to IT to give insights on how to improve your SLAs, within the scope of IT, but the business data really will impact the business, the whole entire university for us. So, one of the things that we're doing on the business side with the business data is to provide some analytics on the student data in order to increase their chances for success. So, getting all of that data, doing some reports and pattern analytics, and then coaching the students. >> Not a bad place to live, in San Diego, is it? >> Oh, it's excellent. >> Weather's always perfect? >> Oh, yeah. >> Marine layer's not as bad as L.A., but, you know. >> Yeah. >> Or is it? >> No, we do have- The university is right on the coast, so yeah. Sometimes it's gloomy the whole entire day. >> I love it there. I wish I could've gone to school at the University of San Diego. >> It is great. It's a great place to be. >> Love to go down, see my friends in La Jolla, Del Mar, beautiful areas. Great country. >> Yeah. >> Well, thank you for coming on and sharing your insights into multi-cloud and some of the thinking. It seems to be very foundational right now in its whole thinking. >> Mhmm. >> There's no master plan yet. People are really having good conversations around how to set it all up. >> Yeah. >> The architecture. >> Right. >> The role. >> Yeah, yeah. >> Do you see the same thing? >> Yes, architecture is actually a very essential piece of it because you need to plan before you go. If you go without planning, I think your bill is going to be off the roof. >> Huge bill. >> Yeah. >> And you'll sink in the quicksand and the data lake and you can be sucked into the data swamp. >> Yeah. Right. Yeah. So, architecture is a big piece of it, design, then build, and then continuous improvement, that's a huge thing at UC San Diego. >> You know what I get excited about? I get excited about real time, and how real time, time series data is becoming a big part of the application development, and understanding the context between good data and bad data. >> Mhmm. >> It's always a hard problem. It's a hard tech problem. >> Yeah, that is true, yeah. There are a lot of processes that should be set around the data to make sure the data's clean and it's a good data set and all of that. >> If data's an asset, then has it got a value? Is it on the balance sheet? Shouldn't we value the data? Some data's more valuable than others? It's a good question, huh? >> It is a good question, but I don't know the answer to that. >> No one knows. We always ask the question. I think that's a future state where at some point, data can be recognized, but right now it's hard to tell what's valuable or not. >> I think the value is in the returned services and the value-added services that you, as an organization, can bring to your customer base. This is where the value is, and if you want to put a dollar amount on that, I don't know, it's not my job. >> Thank you so much for coming on, special time of conversation. >> Thank you. >> CUBE Conversation here, the CUBE Coverage of the first inaugural Multi-Cloud Conference called ESCAPE/19, where the industry best are coming together. Practitioners, entrepreneurs, founders, executives, and finally, just talking about what multi-cloud really can be, foundationally what needs to be in place. And this is what happens here at these conferences, tons of hallway conversations. Natalie, thank you for spending the time with us. CUBE Coverage, I'm John Furrier. Thanks for watching.

(upbeat music) >> From New York City, it's theCUBE. Covering "Welcome To The New Edge." Brought to you by Pensando Systems. >> Hey, welcome back here ready. Jeff Frick here with theCUBE. We are high atop Goldman Sachs in downtown Manhattan, I think it's 43 floors, for a really special event. It's the Pensando launch. It's really called welcome to the new edge and we talked about technology. We had some of the founders on but, these type of opportunities are really special to talk to some really senior leaders and we're excited to have John Chambers back on, who as you know, historic CEO of Cisco for many, many years. Has left that, is doing his own ventures he's writing books, he's investing and he's, happens to be chairman of the board of Pensando. So John, thanks for taking a few minutes with us. >> Well, more than a few minutes, I think what we talked about today is a major industry change and so to focus on that and focus about the implications will be a lot of fun. >> So let's jump into it. So, one of the things you led with earlier today was kind of these 10 year cycles and they're not exactly 10 years, but you outlined a series of them from mainframe, mini client server everybody knows kind of the sequence. What do you think it is about the 10 year kind of cycle besides the fact that it's easy and convenient for us to remember, that, kind of paces these big disruptions? >> Well, I think it has to do with once a company takes off they tend to, dominate that segment of the industry for so long that even if a creative idea came up they were just overpowering. And then toward the end of a 10 year cycle they quit reinventing themselves. And we talked earlier about the innovator's dilemma and the implications for it. Or an architecture that was designed that suddenly can't go to the next level. So I think it's probably a combination of three or four different factors, including the original incumbent who broke the glass, disrupted others, not disrupting themselves. >> Right, but you also talked about a story where you had to shift focus based on some customer feedback and you ran Cisco for a lot longer than 10 years. So how do you as a leader kind of keep your ears open to something that's a disruptive change that's not your regular best customer and your regular best salesman asking for a little bit faster, a little bit cheaper, a little bit of more the same versus the significant disruptive transformational shift? >> Well this goes back to one of my most basic views in life is I think we learn more from our setbacks or setbacks we were part of, or even the missteps or mistakes than you ever do your successes. Everybody loves to talk about successes and I'm no different there. But when you watched a great state like West Virginia that was the chemical center of the world and the coal mining center of the world, the 125,000 coal mines, six miners very well paid, 6,000 of the top engineers in the world, it was the Silicon Valley of the chemical industry and those just disappear. And because our state did not reinvent itself, because the education system didn't change, because we didn't distract attract a new set of businesses in we just kept doing the right thing too long, we got left behind. Then I went to Boston, it was the Silicon Valley of the world. And Route 128 around Boston was symbolic with the Silicon Valley and I-101 and 280 around it. And we had the top university at that time. Much like Stanford today, but MIT generating new companies. We had great companies, DEC, Wang, Data General. Probably a million jobs in the area and because we got stuck in a segment of the market, quit listening to our customers and missed the transitions, not only did we lose probably 1.2 million jobs on it, 100,000 out of DEC, 32,000 out of Wang, etc, we did not catch the next generation of technology changes. So I understand the implications if you don't disrupt yourself. But I also learned, that if you're not regularly reinventing yourself, you get left behind as a leader. And one of my toughest competitors came up to me and said, "John, I love the way you're reinventing Cisco "and how you've done that multiple times." And then I turned and I said "That's why a CEO has got to be in the job "for more than four or five years" and he said, "Now we disagree again." Which we usually did and he said, "Most people can't reinvent themselves." And he said "I'm an example." "I'm a pretty good CEO" he's actually a very good CEO, but he said, "After I've been there three or four years "I've made the changes, that I know "I've got to go somewhere else." And he could see I didn't buy-in and then he said, "How many of your top 100 people "you've been happy with once they've been "in the job for more than five years?" I hesitated and I said "Only one." And he's right, you've got to move people around, you've got to get people comfortable with disruption on it and, the hardest one to disrupt are the companies or the leaders who've been most successful and yet, that's when you got to think about disruption. >> Right, so to pivot on that a little bit in terms of kind of the government's role in jobs, specifically. >> Yes. >> We're in this really strange period of time. We have record low unemployment, right, tiny, tiny unemployment, and yet, we see automation coming in aggressively with autonomous vehicles and this and that and just to pick truck drivers as a category, everyone can clearly see that autonomous vehicles are going to knock them out in the not too distant future. That said, there's more demand for truck drivers today than there's every been and they can't fill the positions So, with this weird thing where we're going to have a bunch of new jobs that are created by technology, we're going to have a bunch of old jobs that get displaced by technology, but those people aren't necessarily the same people that can leave the one and go to the other. So as you look at that challenge, and I know you work with a lot of government leaders, how should they be thinking about taking on this challenge? >> Well, I think you've got to take it on very squarely and let's use the U.S. as an example and then I'll parallel what France is doing and what India is doing that is actually much more creative that what we are, from countries you wouldn't have anticipated. In the U.S. we know that 50% of the Fortune 500 will probably not exist in 10 years, 12 at the most. We know that the large companies will not incrementally hire people over this next decade and they've often been one of the best sources of hiring because of AI and automation will change that. So, it's not just a question of being schooled in one area and move to another, those jobs will disappear within the companies. If we don't have new jobs in startups and if we don't have the startups running at about three to four times the current volumes, we've got a real problem looking out five to 10 years. And the startups where everyone thinks we're doing a good job, the app user, third to a half of what they were two decades ago. And so if you need 25 million jobs over this next decade and your startups are at a level more like they were in the 90s, that's going to be a challenge. And so I think we've got to think from the government perspective of how we become a startup nation again, how we think about long-term job creation, how we think about job creation not taking money out of one pocket and give it to another. People want a real job, they want to have a meaningful job. We got to change our K through 12 education system which is broken, we've got to change our university system to generate the jobs for where people are going and then we've got to retrain people. That is very doable, if you got at it with a total plan and approach it from a scale perspective. That was lacking. And one of the disappointing things in the debate last night, and while I'm a republican I really want who's going to really lead us well both at the presidential level, but also within the senate, the house. Is, there was a complete lack of any vision on what the country should look like 10 years from now, and how we're going to create 25 million jobs and how we're going to create 10 million more that are going to be displaced and how we're going to re-educate people for it. It was a lot of finger pointing and transactional, but no overall plan. Modi did the reverse in India, and actually Macron, in all places, in France. Where they looked at GDP growth, job creation, startups, education changes, etc, and they executed to an overall approach. So, I'm looking for our government really to change the approach and to really say how are we going to generate jobs and how are we going to deal with the issues that are coming at us. It's a combination of all the the above. >> Yep. Let's shift gears a little bit about the education system and you're very involved and you talked about MIT. Obviously, I think Stanford and Cal are such big drivers of innovation in the Bay area because smart people go there and they don't leave. And then there's a lot of good buzz now happening in Atlanta as an investment really piggy-backing on Georgia Tech, which also creates a lot of great engineers. As you look at education, I don't want to go through K through 12, but more higher education, how do you see that evolving in today's world? It's super expensive, there's tremendous debt for the kids coming out, it doesn't necessarily train them for the new jobs. >> Where the jobs are. >> How do you see, kind of the role of higher education and that evolving into kind of this new world in which we're headed? >> Well, the good news and bad news about when I look at successful startups around the world, they're always centered around a innovative university and it isn't just about the raw horse power of the kids, It starts with the CEO of the university, the president of the university, their curriculum, their entrepreneurial approach, do they knock down the barriers across the various groups from engineering to business to law, etc? And are they thinking out of box? And if you watch, there is a huge missing piece between, Georgia Tech more of an exception, but still not running at the level they need to. And the Northeast around Boston and New York and Silicon Valley, The rest of the country's being left behind. So I'm looking for universities to completely redo their curriculum. I'm looking for it really breaking down the silos within the groups and focus on the outcomes. And much like Steve Case has done a very good job on focusing, about the Rust Belt and how do you do startups? I'm going to learn from what I saw in France at Polytechnique and the ITs in India, and what occurred in Stanford and MIT used to occur is, you've got to get the universities to be the core and that's where they kids want to stay close to, and we've got to generate a whole different curriculum, if you will, in the universities, including, continuous learning for their graduates, to be able to come back virtually and say how do I learn about re-skilling myself? >> Yeah. >> The current model is just not >> the right model >> It's broken. >> For the, for going forward. >> K through 12 is >> hopelessly broken >> Yeah. >> and the universities, while were still better than anywhere else in the world, we're still teaching, and some of the teachers and some of the books are what I could have used in college. >> Right, right >> So, we got to rethink the whole curriculum >> darn papers on the inside >> disrupt, disrupt >> So, shifting gears a little bit, you, played with lots of companies in your CEO role you guys did a ton of M&A, you're very famous for the successful M&A that you did over a number of years, but in an investor role, J2 now, you're looking at a more early stage. And you said you made a number of investments which is exciting. So, as you evaluate opportunities A. In teams that come to pitch to you >> Yeah. >> B. What are the key things you look for? >> In the sequence you've raised them, first in my prior world, I was really happy to do 180 acquisitions, in my current world, I'm reversed, I want them to go IPO. Because you add 76% of your headcount after an IPO, or after you've become a unicorn. When companies are bought, including what I bought in my prior role, their headcount growth is pretty well done. We'd add engineers after that, but would blow them through our sales channel, services, finance, etc. So, I want to see many more of these companies go public, and this goes back to national agenda about getting IPO's, not back to where they were during the 90's when it was almost two to three times, what you've seen over the last decade. But probably double, even that number the 90's, to generate the jobs we want. So, I'm very interested now about companies going public in direction. To the second part of your question, on what do I look for in startups and why, if I can bridge it, to am I so faired up about Pensando? If I look for my startups and, it's like I do acquisitions, I develop a playbook, I run that playbook faster and faster, it's how I do digitization of countries, etc. And so for a area I'm going to invest in and bet on, first thing I look at, is their market, technology transition, and business model transition occurring at the same time. That was Amazon of 15 years ago as an example. The second thing I look at, is the CEO and ideally, the whole founding team but it's usually just the CEO. The third thing I look for, is what are the customers really say about them? There's only one Steve Jobs, and it took him seven years. So, I go to the customers and say "What do you really think of this company?" Fourth thing I look for, is how close to an inflection point are they. The fifth thing I look for, is what they have in their ecosystem. Are they partnering? Things of that type. So, if I were to look at Pensando, Which is really the topic about can they bring to the market the new edge in a way that will be a market leading force for a whole decade? Through a ecosystem of partners that will change business dramatically and perhaps become the next major tech icon. It's how well you do that. Their vision in terms of market transitions, and business transitions 100% right. We've talked about it, 5G, IOT, internet of things, going from 15 billion devices to 500 billion devices in probably seven years. And, with the movement to the edge the business models will also change. And this is where, democratization, the cloud, and people able to share that power, where every technology company becomes a business becomes a, every business company becomes a technology company. >> Right. >> The other thing I look at is, the team. This is a team of six people, myself being a part of it, that thinks like one. That is so unusual, If you're lucky, you get a CEO and maybe a founder, a co-founder. This team, you've got six people who've worked together for over 20 years who think alike. The customers, you heard the discussions today. >> Right. >> And we've not talked to a single cloud player, a single enterprise company, a single insurance provider, or major technology company who doesn't say "This is very unique, let's talk about "how we work together on it." The inflection point, it's now you saw that today. >> Nobody told them it's young mans game obviously, they got the twenty-something mixed up >> No, actually were redefining (laughs) twenty-something, (laughs) but it does say, age is more perspective on how you think. >> Right, right. >> And Shimone Peres, who, passed away unfortunately, two years ago, was a very good friend. He basically said "You've got all your life "to think like a teenager, "and to really think and dream out of box." And he did it remarkably well. So, I think leaders, whether their twenty-something, or twenty-some years of experience working you've got to think that way. >> Right. So I'm curious, your take on how this has evolved, because, there was data and there was compute. And networking brought those two thing together, and you were at the heart of that. >> Mm-hmm. Now, it's getting so much more complex with edge, to get your take on edge. But, also more importantly exponential growth. You've talked about going from, how ever many millions the devices that were connected, to the billions of devices that are connected now. How do you stay? How do you help yourself think along exponential curves? Because that is not easy, and it's not human. But you have to, if you're going to try to get ahead of that next wave. >> Completely agree. And this is not just for me, how do I do it? I'm sharing it more that other people can learn and think about it perhaps the same way. The first thing is, it's always good to think of the positive, You can change the world here, the positive things, But I've also seen the negatives we talked about earlier. If you don't think that way, if you don't think that way as a leader of your company, leader of your country, or the leader of a venture group you're going to get left behind. The implications for it are really bad. The second is, you've got to say how do you catch and get a replicable playbook? The neat thing about what were talking about, whether it's by country in France, or India or the U.S., we've got replicable playbooks we know what to run. The third element is, you've got to have the courage to get outside your comfort zone. And I love change when it happens to you, I don't like it when it happens to me And I know that, So, I've got to get people around me who push me outside my comfort zone on that. And then, you've got to be able to dream and think like that teenager we talked about before. But that's what we were just with a group of customers, who were at this event. And they were asking "How do we get "this innovation into our company?" "How do we get the ability to innovate, through not just strategic partnerships with other large companies or partnerships with startups?" But "How do we build that internally?" It's comes down to the leader has to create that image and that approach. Modi's done it for 1.3 billion people in India. A vision, of the future on GDP growth. A digital country, startups, etc. If they can do it for 1.3 billion, tell me why the U.S. can not do it? (laughs) And why even small states here, can't do it. >> Yeah. Shifting gears a little bit, >> All right. >> A lot of black eyes in Silicon Valley right now, a lot of negativity going on, a lot of problems with privacy and trading data for currency and, it's been a rough road. You're way into tech for good and as you said, you can use technology for good you can use technology for bad. What are some things you're doing on the tech for good side? Because I don't think it gets the spotlight that it probably should, because it doesn't sell papers. >> Well, actually the press has been pretty good we just need to do it more on scale. Going back to Cisco days, we never had any major issues with governments. Even though there was a Snowden issue, there were a lot of implications about the power of the internet. Because we work with governments and citizens to say "What are the legitimate needs so that everybody benefits from this?" And where the things that we might have considered doing that, governments felt strongly about or the citizens wouldn't prosper from we just didn't do it. And we work with democrats and republicans alike and 90% of our nation believed tech was for good. But we worked hard on that. And today, I think you got to have more companies doing this and then, what, were doing uniquely in JC2, is were literally partnering with France on tech is for good and I'm Macron's, global tech ambassador and we focus about job creation and inclusion. Not just in Paris, or around Station F but throughout all the various regions in the country. Same thing within India, across 26 different states with Modi on how do you drive it through? And then if we can do it in France or India why can't we do it in each state in the U.S.? Partnering with West Virginia, with a very creative, president of the university there West Virginia University. With the democrats and republicans in their national senate, but also within the governor and speaker of the house and the president and senate within West Virginia, and really saying were going to change it together. And getting a model that you can then cookie cut across the U.S. if you change the curriculum, to your earlier comments. If you begin to focus on outcomes, not being an expert in one area, which is liable not to have a job >> Right. >> Ten years later. So, I'm a dreamer within that, but I think you owe an obligation to giving back, and I think they're all within our grasps >> Right >> And I think you can do, the both together. I think at JC2 we can create a billion dollar company with less than 10 people. I think you can change the world and also make a very good profit. And I think technology companies have to get back to that, you got to create more jobs than you destroy. And you can't be destroying jobs, then telling other people how to live their lives and what their politics should be. >> Yeah. >> That just doesn't work in terms of the environment. >> Well John, again, thanks for your time. Give you the last word on >> Sure >> Account of what happened here today, I mean you're here, and Tony O'Neary was here or at the headquarters of Goldman. A flagship launch customer, for the people that weren't here today why should they be paying attention? >> Well, if we've got this market transition right, the technology and business model, the next transition will be everything goes to the edge. And as every company or every government, or every person has to be both good in their "Area of expertise." or their vertical their in, they've got to also be good in technology. What happened today was a leveling of the playing field as it relates to cloud. In terms of everyone should have choice, democratization there, but also in architecture that allows people to really change their business models, as everything moves to the edge where 75% of all transactions, all data will be had and it might even be higher than that. Secondly, you saw a historic first never has anybody ever emerged from stealth after only two and a half years of existing as a company, with this type of powerhouse behind them. And you saw the players where you have a customer, Goldman Sachs, in one of the most leading edge areas, of industry change which is obviously finance leading as the customer who's driven our direction from the very beginning. And a company like NetApp, that understood the implication on storage, from two and a half years ago and drove our direction from the very beginning. A company like HP Enterprise's, who understood this could go across their whole company in terms of the implications, and the unique opportunity to really change and focus on, how do they evolve their company to provide their customer experience in a very unique way? How do you really begin to think about Equinix in terms of how they changed entirely from a source matter prospective, what they have to do in terms of the direction and capabilities? And then Lightspeed, one of the most creative intra capital that really understands this transition saying "I want to be a part of this." Including being on the board and changing the world one more time. So, what happened today? If we're right, I think this was the beginning of a major inflection point as everything moves to the edge. And how ecosystem players, with Pensando at the heart of that ecosystem, can take on the giants but also really use this technology to give everybody choice, and how they really make a difference in the future. As well as, perhaps give back to society. >> Love it. Thank you John >> My pleasure, that was fun. >> Appreciate it. You're John, I'm Jeff you're watching theCUBE. Thanks for watching, we'll see you next time. (upbeat music)

(upbeat music) >> Announcer: Live from Las Vegas, it's theCUBE! Covering UIPath FORWARD America's 2019. Brought to you by UIPath. >> Welcome back, everyone, to theCUBE's live coverage of UIPath FORWARD, here in Sin City, Las Vegas Nevada. I'm your host, Rebecca Knight, co-hosting alongside Dave Velante. We have two guests for this segment. We have Kurt Carlson, Associate Dean for faculty and academic affairs of the Mason School of Business at the college of William and Mary. Thanks for coming on the show. >> Thanks you for having me. >> Rebecca: And we have Tom Clancy, the SVP of learning at UIPath, thank you so much. >> Great to be here. >> You're a Cube alum, so thank you for coming back. >> I've been here a few times. >> A Cube veteran, I should say. >> I think 10 years or so >> So we're talking today about a robot for every student, this was just announced in August, William and Mary is the first university in the US to provide automation software to every undergraduate student, thanks to a four million dollar investment from UIPath. Tell us a little bit about this program, Kurt, how it works and what you're trying to do here. >> Yeah, so first of all, to Tom and the people at UIPath for making this happen. This is a bold and incredible initiative, one that, frankly, when we had it initially, we thought that maybe we could get a robot for every student, we weren't sure that other people would be willing to go along with that, but UIPath was, they see the vision, and so it was really a meeting of the minds on a common purpose. The idea was pretty simple, this technology is transforming the world in a way that students, we think it's going to transform the way that students actually are students. But it's certainly transforming the world that our students are going into. And so, we want to give them exposure to it. We wanted to try and be the first business school on the planet that actually prepares students not just for the way RPA's being used today, but the way that it's going to be used when AI starts to take hold, when it becomes the gateway to AI three, four, five years down the road. So, we talked to UIPath, they thought it was a really good idea, we went all in on it. Yeah, all of our starting juniors in the business school have robots right now, they've all been trained through the academy live session putting together a course, it's very exciting. >> So, Tom, you've always been an innovator when it comes to learning, here's my question. How come we didn't learn this school stuff when we were in college? We learned Fortran. >> I don't know, I only learned BASIC, so I can't speak to that. >> So you know last year we talked about how you're scaling, learning some of the open, sort of philosophy that you have. So, give us the update on how you're pushing learning FORWARD, and why the College of William and Mary. >> Okay, so if you buy into a bot for every worker, or a bot for every desktop, that's a lot of bots, that's a lot of desktops, right? There's studies out there from the research companies that say that there's somewhere a hundred and 200 million people that need to be educated on RPA, RPA/AI. So if you buy into that, which we do, then traditional learning isn't going to do it. We're going to miss the boat. So we have a multi-pronged approach. The first thing is to democratize RPA learning. Two and a half years ago we made, we created RPA Academy, UIPath academy, and 100% free. After two and a half years, we have 451,000 people go through the academy courses, that's huge. But we think there's a lot more. Over the next next three years we think we'll train at least two million people. But the challenge still is, if we train five million people, there's still a hundred million that need to know about it. So, the second biggest thing we're doing is, we went out, last year at this event, we announced our academic alliance program. We had one university, now we're approaching 400 universities. But what we're doing with William and Mary is a lot more than just providing a course, and I'll let Kurt talk to that, but there is so much more that we could be doing to educate our students, our youth, upscaling, rescaling the existing workforce. When you break down that hundred million people, they come from a lot of different backgrounds, and we're trying to touch as many people as we can. >> You guys are really out ahead of the curve. Oftentimes, I mean, you saw this a little bit with data science, saw some colleges leaning in. So what lead you guys to the decision to actually invest and prioritize RPA? >> Yeah, I think what we're trying to accomplish requires incredibly smart students. It requires students that can sit at the interface between what we would think of today as sort of an RPA developer and a decision maker who would be stroking the check or signing the contract. There's got to be somebody that sits in that space that understands enough about how you would actually execute this implementation. What's the right buildout of that, how we're going to build a portfolio of bots, how we're going to prioritize the different processes that we might automate, How we're going to balance some processes that might have a nice ROI but be harder for the individual who's process is being automated to absorb against processes that the individual would love to have automated, but might not have as great of an ROI. How do you balance that whole set of things? So what we've done is worked with UIPath to bring together the ideas of automation with the ideas of being a strategic thinker in process automation, and we're designing a course in collaboration to help train our students to hit the ground running. >> Rebecca, it's really visionary, isn't it? I mean it's not just about using the tooling, it's about how to apply the tooling to create competitive advantage or change lives. >> I used to cover business education for the Financial Times, so I completely agree that this really is a game changer for the students to have this kind of access to technology and ability to explore this leading edge of software robotics and really be, and graduate from college. This isn't even graduate school, they're graduating from college already having these skills. So tell me, Kurt, what are they doing? What is the course, what does it look like, how are they using this in the classroom? >> The course is called a one credit. It's 14 hours but it actually turns into about 42 when you add this stuff that's going on outside of class. They're learning about these large conceptual issues around how do you prioritize which processes, what's the process you should go through to make sure that you measure in advance of implementation so that you can do an audit on the backend to have proof points on the effectiveness, so you got to measure in advance, creating a portfolio of perspective processes and then scoring them, how do you do that, so they're learning all that sort of conceptual straight business slash strategy implementation stuff, so that's on the first half, and to keep them engaged with this software, we're giving them small skills, we're calling them skillets. Small skills in every one of those sessions that add up to having a fully automated and programmed robot. Then they're going to go into a series of days where every one of those days they're going to learn a big skill. And the big skills are ones that are going to be useful for the students in their lives as people, useful in lives as students, and useful in their lives as entrepreneurs using RPA to create new ventures, or in the organizations they go to. We've worked with UIPath and with our alums who've implement this, folks at EY, Booz. In fact, we went up to DC, we had a three hour meeting with these folks. So what are the skills students need to learn, and they told us, and so we build these three big classes, each around each one of those skills so that our students are going to come out with the ability to be business translators, not necessarily the hardcore programmers. We're not going to prevent them from doing that, but to be these business translators that sit between the programming and the decision makers. >> That's huge because, you know, like, my son's a senior in college. He and his friends, they all either want to work for Amazon, Google, an investment bank, or one of the big SIs, right? So this is a perfect role for a consultant to go in and advise. Tom, I wanted to ask you, and you and I have known each other for a long time, but one of the reasons I think you were successful at your previous company is because you weren't just focused on a narrow vendor, how to make metrics work, for instance. I presume you're taking the same philosophy here. It transcends UIPath and is really more about, you know, the category if you will, the potential. Can you talk about that? >> So we listen to our customers and now we listen to the universities too, and they're going to help guide us to where we need to go. Most companies in tech, you work with marketing, and you work with engineering, and you build product courses. And you also try to sell those courses, because it's a really good PNL when you sell training. We don't think that's right for the industry, for UIPath, or for our customers, or our partners. So when we democratize learning, everything else falls into place. So, as we go forward, we have a bunch of ideas. You know, as we get more into AI, you'll see more AI type courses. We'll team with 400 universities now, by end of next year, we'll probably have a thousand universities signed up. And so, there's a lot of subject matter expertise, and if they come to us with ideas, you mentioned a 14 hour course, we have a four hour course, and we also have a 60 hour course. So we want to be as flexible as possible, because different universities want to apply it in different ways. So we also heard about Lean Six Sigma. I mean, sorry, Lean RPA, so we might build a course on Lean RPA, because that's really important. Solution architect is one of the biggest gaps in the industry right now so, so we look to where these gaps are, we listen to everybody, and then we just execute. >> Well, it's interesting you said Six Sigma, we have Jean Younger coming on, she's a Six Sigma expert. I don't know if she's a black belt, but she's pretty sure. She talks about how to apply RPA to make business processes in Six Sigma, but you would never spend the time and money, I mean, if it's an airplane engine, for sure, but now, so that's kind of transformative. Kurt, I'm curious as to how you, as a college, market this. You know, you're very competitive industry, if you will. So how do you see this attracting students and separating you guys from the pack? >> Well, it's a two separate things. How do we actively try to take advantage of this, and what effects is it having already? Enrollments to the business school, well. Students at William and Mary get admitted to William and Mary, and they're fantastic, amazingly good undergraduate students. The best students at William and Mary come to the Raymond A. Mason school of business. If you take our undergraduate GPA of students in the business school, they're top five in the country. So what we've seen since we've announced this is that our applications to the business school are up. I don't know that it's a one to one correlation. >> Tom: I think it is. >> I believe it's a strong predictor, right? And part because it's such an easy sell. And so, when we talk to those alums and friends in DC and said, tell us why this is, why our students should do this, they said, well, if for no other reason, we are hiring students that have these skills into data science lines in the mid 90s. When I said that to my students, they fell out of their chairs. So there's incredible opportunity here for them, that's the easy way to market it internally, it aligns with things that are happening at William and Mary, trying to be innovative, nimble, and entrepreneurial. We've been talking about being innovative, nimble, and entrepreneurial for longer than we've been doing it, we believe we're getting there, we believe this is the type of activity that would fit for that. As far as promoting it, we're telling everybody that will listen that this is interesting, and people are listening. You know, the standard sort of marketing strategy that goes around, and we are coordinating with UIPath on that. But internally, this sells actually pretty easy. This is something people are looking for, we're going to make it ready for the world the way that it's going to be now and in the future. >> Well, I imagine the big consultants are hovering as well. You know, you mentioned DC, Booz Allen, Hughes and DC, and Excensior, EY, Deloitte, PWC, IBM itself. I mean it's just, they all want the best and the brightest, and now you're going to have this skill set that is a sweet spot for their businesses. >> Kurt: That's the plan. >> I'm just thinking back to remembering who these people are, these are 19 and 20 year olds. They've never experienced the dreariness of work and the drudge tasks that we all know well. So, what are you, in terms of this whole business translator idea, that they're going to be the be people that sit in the middle and can sort of be these people who can speak both languages. What kind of skills are you trying to impart to them, because it is a whole different skill set. >> Our vision is that in two or three years, the nodes and the processes that are currently... That currently make implementing RPA complex and require significant programmer skills, these places where, right now, there's a human making a relatively mundane decision, but it's sill a model. There's a decision node there. We think AI is going to take over that. The simple, AI's going to simply put models into those decision nodes. We also think a lot of the programming that takes place, you're seeing it now with studio X, a lot of the programming is going to go away. And what that's going to do is it's going to elevate the business process from the mundane to the more human intelligent, what would currently be considered human intelligence process. When we get into that space, people skills are going to be really important, prioritizing is going to be really important, identifying organizations that are ripe for this, at this moment in time, which processes to automate. Those are the kind of skills we're trying to get students to develop, and what we're selling it partly as, this is going to make you ready of the world the way we think it's going to be, a bit of a guess. But we're also saying if you don't want to automate mundane processes, then come with us on a different magic carpet ride. And that magic carpet ride is, imagine all the processes that don't exist right now because nobody would ever conceive of them because they couldn't possibly be sustained, or they would be too mundane. Now think about those processes through a business lens, so take a business student and think about all the potential when you look at it that way. So this course that we're building has that, everything in the course is wrapped in that, and so, at the end of the course, they're going to be doing a project, and the project is to bring a new process to the world that doesn't currently exist. Don't program it, don't worry about whether or not you have a team that could actually execute it. Just conceive of a process that doesn't currently exist and let's imagine, with the potential of RPA, how we would make that happen. That's going to be, we think we're going to be able to bring a lot of students along through that innovative lens even though they are 19 and 20, because 19 and 20 year olds love innovation, while they've never submitted a procurement report. >> Exactly! >> A innovation presentation. >> We'll need to do a Cube follow up with that. >> What Kurt just said, is the reason why, Tom, I think this market is being way undercounted. I think it's hard for the IDCs and the forces, because they look back they say how big was it last year, how fast are these companies growing, but, to your point, there's so much unknown processes that could be attacked. The TAM on this could be enormous. >> We agree. >> Yeah, I know you do, but I think that it's a point worth mentioning because it touches so many different parts of every organization that I think people perhaps don't realize the impact that it could have. >> You know, when listening to you, Kurt, when you look at these young kids, at least compared to me, all the coding and setting up a robot, that's the easy part, they'll pick that up right away. It's really the thought process that goes into identifying new opportunities, and that's, I think, you're challenging them to do that. But learning how to do robots, I think, is going to be pretty easy for this new digital generation. >> Piece of cake. Tom and Kurt, thank you so much for coming on theCUBE with a really fascinating conversation. >> Thank you. >> Thanks, you guys >> I'm Rebecca Knight, for Dave Velante, stay tuned for more of theCUBEs live coverage of UIPath FORWARD. (upbeat music)