>>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.

>>the Cube presents H P E discovered 2022. Brought to you by H P E. >>Hi, buddy Dave Balon and Jon Ferrier Wrapping up the cubes. Coverage of day two, hp Discover 2022. We're live from Las Vegas. Vishal Lall is here. He's the senior vice president and general manager for HP ES Green Lake Cloud Services Solutions. Michelle, good to see you again. >>Likewise. David, good to see you. It was about a year ago that we met here. Or maybe nine months >>ago. That's right. Uh, September of last year. A new role >>for you. Is that right? I was starting that new role when I last met you. Yeah, but it's been nine months. Three quarters? What have you learned so far? I mean, it's been quite a right, right? I mean, when I was starting off, I had, you know, about three priorities we've executed on on all of them. So, I mean, if you remember back then they we talked about, you know, improving a cloud experience. We talked about data and analytics being a focus area and then building on the marketplace. I think you heard a lot of that over the last couple of days here. Right? So we've enhanced our cloud experience. We added a private cloud, which was the big announcement yesterday or day before yesterday that Antonio made so that's been I mean, we've been testing that with customers. Great feedback so far. Right? And we're super excited about that. And, uh, you know, uh, down there, the test drive section people are testing that. So we're getting really, really good feedback. Really good acceptance from customers on the data and Analytics side. We you know, we launched the S three connector. We also had the analytics platform. And then we launched data fabric as a service a couple of days ago, right, which is kind of like back into that hybrid world. And then on the marketplace side, we've added a tonne of partners going deep with them about 80 plus partners now different SVS. So again, I think, uh, great. I think we've accomplished a lot over the last three quarters or so lot more to be done. Though >>the marketplace is really interesting to us because it's a hallmark of cloud. You've got to have a market price. Talk about how that's evolving and what your vision is for market. Yes, >>you're exactly right. I mean, having a broad marketplace provides a full for the platform, right? It's a chicken and egg. You need both. You need a good platform on which a good marketplace can set, but the vice versa as well. And what we're doing two things there, Right? One Is we expanding coverage of the marketplace. So we're adding more SVS into the marketplace. But at the same time, we're adding more capabilities into the marketplace. So, for example, we just demoed earlier today quickly deploy capabilities, right? So we have an I S p in the marketplace, they're tested. They are, uh, the work with the solution. But now you can you can collect to deploy directly on our infrastructure over time, the lad, commerce capabilities, licencing capabilities, etcetera. But again, we are super excited about that capability because I think it's important from a customer perspective. >>I want to ask you about that, because that's again the marketplace will be the ultimate arbiter of value creation, ecosystem and marketplace. Go hand in hand. What's your vision for what a successful ecosystem looks like? What's your expectation now that Green Lake is up and running. I stay up and running, but like we've been following the announcement, it just gets better. It's up to the right. So we're anticipating an ecosystem surge. Yeah. What are you expecting? And what's your vision for? How the ecosystem is going to develop out? Yeah. I >>mean, I've been meeting with a lot of our partners over the last couple of days, and you're right, right? I mean, I think of them in three or four buckets right there. I s V s and the I S P is coming to two forms right there. Bigger solutions, right? I think of being Nutanix, right, Home wall, big, bigger solutions. And then they are smaller software packages. I think Mom would think about open source, right? So again, one of them is targeted to developers, the other to the I t. Tops. But that's kind of one bucket, right? I s P s, uh, the second is around the channel partners who take this to market and they're asking us, Hey, this is fantastic. Help us understand how we can help you take this to market. And I think the other bucket system indicators right. I met with a few today and they're all excited about. They're like, Hey, we have some tooling. We have the manage services capabilities. How can we take your cloud? Because they build great practise around extent around. Sorry. Aws around? Uh, sure. So they're like, how can we build a similar practise around Green Lake? So again, those are the big buckets. I would say. Yeah, >>that's a great answer. Great commentary. I want to just follow up on that real quick. You don't mind? So a couple things we're seeing observing I want to get your reaction to is with a i machine learning. And the promise of that vertical specialisation is creating unique opportunities on with these platforms. And the other one is the rise of the managed service provider because expertise are hard to come by. You want kubernetes? Good luck finding talent. So managed services seem to be exploding. How does that fit into the buckets? Or is it all three buckets or you guys enable that? How do you see that coming? And then the vertical piece? >>A really good question. What we're doing is through our software, we're trying to abstract a lot of the complexity of take communities, right? So we are actually off. We have actually automated a whole bunch of communities functionality in our software, and then we provide managed services around it with very little. I would say human labour associated with it is is software manage? But at the same time we are. What we are trying to do is make sure that we enable that same functionality to our partners. So a lot of it is software automation, but then they can wrap their services around it, and that way we can scale the business right. So again, our first principle is automated as much as we can to software right abstract complexity and then as needed, uh, at the Manus Services. >>So you get some functionality for HP to have it and then encourage the ecosystem to fill it in or replicated >>or replicated, right? I mean, I don't think it's either or it should be both right. We can provide many services or we should have our our partners provide manage services. That's how we scale the business. We are the end of the day. We are product and product company, right, and it can manifest itself and services. That discussion was consumed, but it's still I p based. So >>let's quantify, you know, some of that momentum. I think the last time you call your over $800 million now in a are are you gotta You're growing at triple digits. Uh, you got a big backlog. Forget the exact number. Uh, give us a I >>mean, the momentum is fantastic Day. Right. So we have about $7 billion in total contract value, Right? Significant. We have 1600 customers now. Unique customers are running Green Lake. We have, um, your triple dip growth year over year. So the last quarter, we had 100% growth year over year. So again, fantastic momentum. I mean, the other couple, like one other metric I would like to talk about is the, um the stickiness factor associated tension in our retention, right? As renewal's is running in, like, high nineties, right? So if you think about it, that's a reflection of the value proposition of, like, >>that's that's kind of on a unit basis, if you will. That's the number >>on the revenue basis on >>revenue basis. Okay? >>And the 1600 customers. He's talking about the size and actually big numbers. Must be large companies that are. They're >>both right. So I'll give you some examples, right? So I mean, there are large companies. They come from different industries. Different geography is we're seeing, like, the momentum across every single geo, every single industry. I mean, just to take some examples. BMW, for example. Uh, I mean, they're running the entire electrical electric car fleet data collection on data fabric on Green Lake, right? Texas Children's Health on the on the healthcare side. Right On the public sector side, I was with with Carl Hunt yesterday. He's the CEO of County of Essex, New Jersey. So they are running the entire operations on Green Lake. So just if you look at it, Barclays the financial sector, right? I mean, they're running 100,000 workloads of three legs. So if you just look at the scale large companies, small companies, public sector in India, we have Steel Authority of India, which is the largest steel producer there. So, you know, we're seeing it across multiple industries. Multiple geography is great. Great uptake. >>Yeah. We were talking yesterday on our wrap up kind of dissecting through the news. I want to ask you the question that we were riffing on and see if we can get some clarity on it. If I'm a customer, CI or C so or buyer HP have been working with you or your team for for years. What's the value proposition? Finish this sentence. I work with HPV because blank because green like, brings new value proposition. What is that? Fill in that blank for >>me. So I mean, as we, uh, talked with us speaking with customers, customers are looking at alternatives at all times, right? Sometimes there's other providers on premises, sometimes as public cloud. And, uh, as we look at it, uh, I mean, we have value propositions across both. Right. So from a public cloud perspective, some of the challenges that our customers cr around latency around, uh, post predictability, right? That variability cost is really kind of like a challenge. It's around compliance, right? Uh, things of that nature is not open systems, right? I mean, sometimes, you know, they feel locked into a cloud provider, especially when they're using proprietary services. So those are some of the things that we have solved for them as compared to kind of like, you know, the other on premises vendors. I would say the marketplace that we spoke about earlier is huge differentiator. We have this huge marketplace. Now that's developing. Uh, we have high levels of automation that we have built, right, which is, uh, you know, which tells you about the TCO that we can drive for the customers. What? The other thing that is really cool that be introduced in the public in the private cloud is fungible itty across infrastructure. Right? So basically on the same infrastructure you can run. Um, virtual machines, containers, bare metals, any application he wants, you can decommission and commission the infrastructure on the fly. So what it does, is it no matter where it is? Uh, on premises, right? Yeah, earlier. I mean, if you think about it, the infrastructure was dedicated for a certain application. Now we're basically we have basically made it compose herbal, right? And that way, what? Really? Uh, that doesnt increases utilisation so you can get increased utilisation. High automation. What drives lower tco. So you've got a >>horizontal basically platform now that handle a variety of work and >>and these were close. Can sit anywhere to your point, right? I mean, we could have a four node workload out in a manufacturing setting multiple racks in a data centre, and it's all run by the same cloud prints, same software train. So it's really extensive. >>And you can call on the resources that you need for that particular workload. >>Exactly what you need them exactly. Right. >>Excellent. Give you the last word kind of takeaways from Discover. And where when we talk, when we sit down and talk next year, it's about where do you want to be? >>I mean, you know, I think, as you probably saw from discovered, this is, like, very different. Antonio did a live demo of our product, right? Uh, visual school, right? I mean, we haven't done that in a while, so I mean, you started. It >>didn't die like Bill Gates and demos. No, >>no, no, no. I think, uh, so I think you'll see more of that from us. I mean, I'm focused on three things, right? I'm focused on the cloud experience we spoke about. So what we are doing now is making sure that we increase the time for that, uh, make it very, you know, um, attractive to different industries to certifications like HIPAA, etcetera. So that's kind of one focus. So I just drive harder at that adoption of that of the private out, right across different industries and different customer segments. The second is more on the data and analytics I spoke about. You will have more and more analytic capabilities that you'll see, um, building upon data fabric as a service. And this is a marketplace. So that's like it's very specific is the three focus areas were driving hard. All right, we'll be watching >>number two. Instrumentation is really keen >>in the marketplace to I mean, you mentioned Mongo. Some other data platforms that we're going to see here. That's going to be, I think. Critical for Monetisation on the on on Green Lake. Absolutely. Uh, Michelle, thanks so much for coming back in the Cube. >>Thank you. Thanks for coming. All >>right, keep it right. There will be John, and I'll be back up to wrap up the day with a couple of heavies from I d. C. You're watching the cube. Mhm. Mm mm. Mhm.

>>mhm mhm. Mhm Welcome back to convert connections 2021. This is the power panel. My name is Dave vellante joined by Reza more like a body was the ceo of calm vault. Isabel geese is the CMO of calm vault and john Gallagher he leads global enterprise infrastructure at sing Creon. And folks welcome to the cube. Thanks for coming on. >>Thank you. >>Thank you. >>So john we heard you this morning. You know, great job you guys are in the industrial logistics business. So supply chains at all a hot topic today. It's got to be challenging. Maybe you could talk about what you're seeing there, but specifically how are you thinking about data management in the context of your overall IT strategy. >>Okay, thank you. So in terms of data management, Synchrotron has 100 sites globally. So if we were to rewind by say 10 years we had data residing a lot out of those remote sites. Uh so over the last few years were basically consolidated a lot of that data and also centralist. So we've brought that into our data centers that we now have, which is a very, very centralist model. So that, that makes it a lot easier to understand where all of that data resides. >>So in the decision pie, as it relates to data, it sounds like cost efficiency is pretty, pretty ranks pretty highly. How does that impact your data management strategy and approach? I mean, is is that like the number one consideration? Is that one of many factors. How should we think about that? >>I would say cost is one of many factors. So obviously cost is key, but you don't want to introduce unnecessary risks. So you've got to keep costs at the forefront. But that's just one of the factors. Obviously data protection is one of the factors ensuring that data is protected and safe. And also understanding, is that exactly where that data resides, making sure that data is encrypted. So I would say that cost is just one of the factors. >>So Isabel good to see you again. I wonder if you could talk about how you're seeing your customers and what they're thinking about, how they're thinking differently about data management today, Are they changing the way they manage data giving given the escalation of ransomware that comprise the called the forced march to digital over the last 18, 19 months, but you've got new threats, new business dynamics, how is that affecting organizations? >>It does, it does affect them a lot. It's um we see a lot more. Actually, I asked a lot of virtual coffee talks with our customers so they can share best practices and a lot of C IOS network ending end with sizzles and they have a readiness plan because they know the question is not if they're going to have an attack, but when and how to recover from it is critical. So all the security team is really looking at the prevention but they know that if they can't stop it all, then they have a plan of end of to the data team for recovery. I see a lot more thoughtfulness because not all data is created equal. So which one is in the cloud and you can recover which one you need fast for minimum business was sorry, minimum business disruption and you keep on prime and which one you cannot lose and you have a go. So we see a lot more planning, a lot more collaboration across all verticals. We have also new services that help customers before the attacks to design and plan and also helping them post attack to recover so very much and to end and as we've seen the king out right now it's all about the people enabling them to do the business while you're risking the business too. So >>All right, thank you for that. So Reza and the fact that your Ceo is C I O. Uh so you must have some interesting conversations there but and you can be a sort of tap Sanjay's brain, how did you handle this kind of thing? And and uh that's a nice collaboration I bet. But what advice can you give to other, see IOS or grappling with cyber threats, data volumes and just the ongoing pressure to do more with less that never changes does it? >>It doesn't. And you're absolutely right. And I obviously as part of my job attracted benchmarks about budgets and everything else that before the pandemic used to track about like 3% growth year over year which is a hard to kind of do a whole lot with them. Um What what I can tell you is not for C I O not two areas the areas of investments are not created equal and from my perspective the biggest areas of investment for somebody like me in my position should be data and protecting the data. So that means that you have to find ways of on the budget side, find ways of shifting money whether you reallocate resources, whether you reform or a really organized differently, automate simplified etcetera. My background is operation so when you talk about people process technology outside of things, I leave the technology to the people that are really good at it and I focus on people and process side and for me that's about again efficiencies and finding ways that you can reorganize, you probably have the people that do the work that you want them to do and you just have to think about reorganizing them differently. And the last thing I said is prioritize prioritize initiatives across the board and it is like partner in crime in these things and we don't always say yes to her and what she wants because we need to be transparent so where we put our money >>so rest, I want to stay with you for me, I want to talk about data sprawl was interesting john during your session this morning I was sort of laying down some of my thoughts because I I feel like data sprawl, it's like social change. You can't fight it. You can maybe, you know for a period of time control it. But data is is out of control. So how do you address data sprawl in an organization? Both from a management perspective there's obviously risk. Somebody said this morning we used to keep, I think it was the C. I. A. In New Jersey. We used to keep everything forever. But that's risky. So how do you deal with that result from an organizational and management perspective? >>Yeah. You again, I'm gonna have to agree with you. As as I said in in a morning session, I like it's a natural phenomenon for a company to go through it. I've seen it in companies that are 150% people and I've seen it in companies that have tens of thousands of people. It's like a foundation onto what what entropy is in thermodynamics. It's the natural order of events. If you don't apply structure, organization data is going to go haywire and everything else. The only way. The best way that I know when the pendulum is here and everybody is doing the wrong thing is to push the pedal on the other side at least for a while to centralize, pick a few of your brightest people that know the data in and out, put them in a team and say you're responsible for making sense out of these things. Identify sources of truth for us and architect them differently. But but start with executive level metrics and board level metrics and push them down. >>So I see. I I agree with that with that. I think the people who have the data context are in the best position to add value as to whether it's data quality and how to get the most out of that data. But the problem is uh john I'd love to pick your brain on this. Especially your urine mia. You got all these different regulations and data silos, which I believe are a byproduct of how we organize. Uh, but but anyway, you have a lot of the considerations to deal with whether it's G. D. P. R. Or or or or data sovereignty etcetera. How do you approach that? >>So one of the first approaches we took when we moved over to con vault with our data protection was to reduce the number of products we used for the data protection. So we had six products through various acquisitions that we, we've done over the last 10-15 years. We've now reduced that six products down to one single product. So it means that all of your data is managed through a sort of single pane, which definitely gives you a much better insight. And also just going back to the costs that you mentioned in the previous question. Obviously going down from six products to one product, we managed to strip around $500,000 out of our costs over three years. We also moved data like I said into the center and allowed us to also concentrate the teams. So also the teams became more efficient because less people were dealing with that data as well. But yes you are right around GDP are there is definitely compliance to be considered and you just have to make sure you're up to date on all of those compliance regulations. >>So it's interesting resident here you talk about you know Isabelle, she's got needs but I would say Isabel that you probably know in your team, you know the marketing data better than anybody but there's got to be Federated governance, you've got to enforce policy in this data sprawl world. So anyway this is sort of a side but Sanjay Isabelle talk today about as a service growing like crazy and given your background I wonder if you can share any insights about how and why you think customers are going to be looking towards SAs I mean the whole world is becoming SAs ified you had some data on that this morning from, from Gardner. What are your thoughts? >>Yeah, no, absolutely, you're right experience this percent coming from cell phones and yes angie mentioned in the keynote by I think 2025 85% of business will be delivered through SAAS apps and that's very simple look at the world today the market dynamics of business changes. You mentioned the supply chain is you were talking you know all the line of business people of the business executives have to change fast. And the fastest way to do that is SAS because it has speed agility and you get the value faster problem being then it becomes very complex or I. T. Because you have workloads in multiple clouds on premise multiple apps and and what convo stands for and what everybody should look at is being able to enable all this innovation but at the same time removing the complexity for I. T. To protect this data to recover it and that's really where you know we're focusing our attention that is unavoidable. It's all about business and gT but it doesn't mean that you should compromise on data management. Yeah. >>Yeah I think you know we gotta we have to wrap here but I think the model, you know again it's about you coming from salesforce, we've contextualized our operational systems. You know, whether it's you know the sales cloud, the logistics, cloud, it's the lines of business actually have a good handle on this. And where I see the role of calm vault is that that notion of Federated governance, you've got to have centralized policy but you've got to programmatically and automate that out to the lines of business and I think that is kind of where the where the future is headed. Uh And I think that's really kind of controlled strategy. I'm hearing a lot on automation cloud like services and pushing that out. Um And so I see a new era in data coming and you guys talked a lot about this but but Isabelle will give you the last word. Put a put a bumper sticker on the on the panel for us. >>Well absolutely. I mean you said it's not left for no workload, sorry, it should be left behind and that's why you know you need a single architecture. I think businesses is changing fast and it's exciting. Uh And as long as you know you got a great I. T. Team with a great plan to have your back as a business leader. Every company should really embrace um all the change and innovation. So thank you day for for giving me the last world >>go. Thank you guys. I really appreciate you coming on the cube has been a fun day. We got more here that convulsed connections, keep it right there. We're gonna come back right after this short break my nose and I are going to wrap up and summarize the day. Yeah

>>Welcome back to the cubes cover dot com. Splunk annual conference >>Virtual this year. I'm john for >>your host of the cube as always we're being the best stories. The best guest to you and the best guest today is the ceo Doug merit of course, Top Dog. It's great to see you. Thanks for coming on to be seen. >>So nice. I can't believe it. We had a whole year without seeing each other. >>I love this conference because it's kind of like a studio taking over a full virtual studio multiple sets, cubes here. You have the main stage, you've got rooms upstairs, tons of virtual interactions. Great numbers. Congratulations. >>Thank you. Thank you. We were, we wanted this to be primarily live where we are live, primarily on site. Um, and we pivoted some private marketing team. How quickly they pivoted and I love the environment they've created as I know next year we will be always have virtual now we've all learned but will be on site, which is great. >>It's good to see kind of you guys telling the story a lot, a lot more stories happening and You know, we've been covering splint since 2012 on the Cube. I think longer than aws there was 2013 our first cube seeing Splunk emerge is the trend has been, it's new, it's got value and you operationalize it for customers. Something new happens. You operationalized for customers and it just keeps on the Splunk way, the culture of innovation. It just seems now more than ever. You guys were involved in security early 2015 I think that was the year we started kind of talking about it your first year and now it just feels like something bigger is right here in front of us. It's and people are trying to figure out multi cloud observe ability. We see that what that's a big growth wave coming. What's the wave that's happening? >>So uh the beauty of Splunk and the kind of culture and how we were born was we have this non structured backbone um what I would call the investigative lake where you just dump garbage into it and then get value out of it through the question asking which means you can traverse anywhere because you're not taking a point of view on the data it's usable all over the place. And that's how we went up in security. As we had the I. T. Systems administrators pinging that thing with with questions. And at that point in time the separate teams were almost always part of the I. T. Teams like hey can we ask questions that thing. It's like yeah go ahead. And also they got value. And then the product managers and the app dev guys started asking questions. And so a lot of our proliferation has been because of the underlying back bonus blank the ability for new people to come to the data and find value in the data. Um as you know and as our users know we have tried to stay very focused on the go to market basis on serving the technical triumphant the cyber teams, the infrastructure management, 90 ops teams and the abdomen devoPS teams and on the go to market basis and the solutions we package that is, we're trying to stay super pure to that. That's $90 billion of total addressable market. We're super excited will be well over three billion an error this year, which is amazing is 300 million when I started seven years ago so that 10 x and seven years is great. But three billion and 90 billion like we're all just getting going right now with those Corbyn centers. The were on top of what sean bison as we tell you about, hey, we've got to continue to focus on multi cloud and edge is really important. Machine learning is important. That the lever that we've been focused on for a long time that we'll continue to gain better traction on is making sure that we've got the right data plane and application platform layer so that the rest of the world can participate in building high quality reusable and recyclable applications so that operate operationalization that we have done officially around cyber it and devops and unofficially on a one off basis for marketing and supply chain and logistics and manufacturing that those other use cases can be packaged repeated, sold and supported by the people that really know those domains because we're not manufacturing experts. It's we're honored that portion BMW are using us to get operational insight into the manufacturing floor. But they lead that we just were there is the technical Splunk people to help bring that to life. But there are lots of firms out there, no manufacturing cold process versus the screed and they can create with these packages. They're appropriate for automotive, automotive versus paint versus wineries versus having that. I think the big Accelerant over the next 10 years response, we gotta keep penetrating our core use cases but it would be allowing our ecosystem and so happy Teresa Karlsson's here is just pounding the table and partners to take the other probably 90% of the market that is not covered by by our core market. >>Yeah, I think that's awesome. And the first time we get to the partner 1st and 2nd the rebranding of the ecosystem as it's growing. But you mentioned you didn't know manufacturing as an example where the value is being created. That's interesting because you guys are enabling that value, their adding that because they know their apps then they're experts. That's where the ecosystem is really gonna shine because if you can provide that enablement this control plane as you mentioned, that's going to feed the ecosystem. So the question I have for you is as you guys have become essentially the de facto control playing for most companies because they were using spring for a lot of other great reasons now you have set them up that way is the pattern to just keep building machine learning apps on top of it or more querying what's the what's the customer next level trends that you're seeing. >>So the two core focus areas that we will stay on top of is enriching that data platform and ensure that we continue to provide better at peace and better interfaces so that when people want to build a really interesting automotive parts, supply chain optimization app that they're able to do that, we've got the right A. P. S. We've got the right services, we've got the right separation between the application of platforms so they can get that done, we'll continue to advance that platform so that there's modernization capabilities and there's advertising capabilities and other pieces that they can make their business. The other piece that will stay very focused on is within the cyber realm within I. T. Ops within devops, ensuring that we're leveraging that platform, but baking ml and baking all the advanced edge and other capabilities into those solutions because the cyber teams as where you started with a You know, we really started reporting on cyber 2015, those guys have got such a hard job and while there's lots of people pretending like they're going to come in and serve them, it's the difficulty is there are hundreds of tools and technologies that the average C so deals with and the rate of innovation is not slowing down and those vendors that have a vested interest and I want to maintain my footprint and firewalls, I want to maintain an implant, I want to maintain. It's really hard for them to say, you know what? There are 25 other categories of tools and there's 500 vendors. You gotta play nicely with your competitors and know all those folks if you really want to provide the ml the detection, the remediation, The investigation capabilities. And that's where I'm really excited about the competition. The fake competition in many cases because like, yeah, bring it on. Like I've got 2000 engineers, all they do all day long is focused on the data layer and making sure that we're effective there and I'm not diverting my engineers with any other tasks that I've got a it's hard enough to do what we do in the day layers. Well, >>it's interesting. I just had some notes here, I had one data driven innovation you've been talking about since you've been here. We've been talking about data driven innovation, cybersecurity mentioned for many years, it's almost like the balance of you gotta have tools, but you gotta have the platform. If you have too many tools and no platform, then there's a mix match here and you get hung up with tools and these blind spots. You can't have blind spots, you can't have silos. This is what kind of everyone's pretty much agreeing on right now. It's not a debate. It's more like, okay, I got silos and I got blind spots. Well how do I solve >>the difficulty? And I touched a little bit of the sun my keynote of There are well over 60 and I was using 16 because DB engines categorizes 16 different database tools. But there's actually more if you go deeper. So there's different 16 different categories of database tools. Think relational database, data warehouse, ledger databases, graph database, et cetera over 16 categories those 350 vendors. That's not because we're all stupid in tech like a graph DB is different than a relational database, which is different than what we do with our stimulus index. So there's those categories that many vendors because they're trying to solve different problems within the swim lane that you are in which for us is this non structured, high volume difficult data to manage Now. The problem is how do you create that non broken that end to end view. So you can handle your use cases effectively. Um and then the customer is still going to do with the fact that we're not a relational database engine company. We're not a data warehousing company where we were beginning to use graph DB capabilities within our our solution sets. We're gonna lean on open source other vendors use the tool for the job >>you need. But I think that what you're thinking hitting on my like is this control plane idea. I want to get back to that because if you think about what the modern application developers want is they want devops and deVOps kind of one infrastructures codes there. But if I'm a modern developer, I just want to code, >>I don't want to configure >>the data or the infrastructure. So the data value now is so much more important for the developer, whether that's policy based innovation, get options, some people call it A I ops, these are big trends. This is fairly new in the sense of being mainstream. It's been around for a couple of years, but this time, how do you see the data being much more of a developer input. >>People talk about deVOps is a new thing when I was running on the HR products at Peoplesoft in 2000 and four, we had a deVOPS teams. So that is, you know, there's always been a group of people whether Disney or not that are kind of managing the manufacturing floor for your developers, making sure they got the right tools and databases and what's new is because the ephemeral nature of cloud, that app dev work and devops and everyone that surrounds those or is now 100% data driven because you have ephemeral services, they're popping up and popping down. And if you're not able to trap the data that are each one of those services are admitting and do it on a real time basis and a thorough, complete basis, you can't sample then you are flying blind and that's not gonna work when you've got a critical code push for a feature your customers demanding and if you don't get it out, your competitors are, you need to have assurance that you've done the right things and that the quality and and the actual deployment actually works And that's where what lettuce tubes or ability Three years ago as we roughly started doing our string of acquisitions is we saw that transition from a state full world where it was all transaction engine driven. I've got to insert transaction and engines in a code. Very different engineering problem to I've got to grab data and it's convoluted data. It's chaotic data. It's changing all the time. Well, jeez that sounds and latency >>issues to they're gonna be doing fast. >>I've got to do it. You literally millisecond by millisecond. You've got are are bigger customers were honored because of how we operate. Splunk to serve some of the biggest web properties in the in the globe and they're dealing with hundreds of terabytes to petabytes of data per day that are traversing these pipes and you've got to be able to extract metrics that entire multi petabyte or traces that entire multi pedal extreme and you can't hope you're guessing right by only extracting from portions of it because again, if you missed that data you've missed it forever. So for us that was a data problem, which is why we stepped in and >>other things That data problem these days, it's almost it's the most fun to talk about if you love the problem statement that we're trying to solve. I want to get your reaction something if you don't mind. I was talking to a C. So in the C. I. O. We have a conversation kind of off camera at an event recently and I said what's the biggest challenge that you have? Just curious? I asked him, it's actually it's personnel people are mad at each other. Developers want to go faster because there are ci cd pipeline is devops their coding. They're having to wait for the security groups in some cases weeks and days when they could do it in minutes they want to do it on the in the pipelines, shifting left as some call it and it's kind of getting in the way. So it's kind of like it's not they're not getting along very well uh meaning they're slowing things down. I can say something what they really said, but they weren't getting along. What's your reaction? Because that seems to be a speed scale problem. That's developer centric, not organizational, you've got organizational challenges and being slowed down. >>So uh while we all talk about this converted landscape and how exciting is going to be. You do have diametrically opposed metrics and you're never going to have, it's very difficult to get a single person to have the same allegiance to those diametrically a virgin metrics as you want. So you've got checks and balances and the reality of what the cyber teams need to be doing to ensure that you aren't just coding effective functions with the right delivery timeframe. But that's also secure is I think going to make the security team is important forever and the same thing. You can't just write sloppy code that consumes, that blows your AWS budget or G. C. P budget within the first week of deploying it because you've still got to run a responsible business. So there are different dimensions that we all have to deal with quality time and feature functionality that different groups represent. So we, I believe a converged landscape is important. It's not that we're gonna blow it up and one person is going to do it all if you've got to get those groups talking better and you've got to reduce cycle times now we believe it's plunk is with a common data plane, which is the backbone and then solutions built from that common data plane to serve those groups. You're lessening the lack of understanding and you're reducing the cycle time. So now I can look when I'm publishing the code. If it's done properly, is it also secure And the cyber teams can kind of be flying in saying, hey, wait, wait, wait, we just saw something in the data says we're not quite ready. I'm sorry. I know you want to push, you can't push now, but there'll be a data driven conversation and not this, you shouldn't be waiting a week or two weeks, like we can't operate that scale and you've got to address people with facts and data and logic and that's what we're trying to get done. And you >>guys have a good policy engine, you can put up that up into the pipeline. So awesome. That's great, great insight there. Thanks for sharing. Final question. Um looking back in your time since you've been Ceo the culture kind of hasn't changed at Splunk, it's still they have fun, hard charging laid back a little bit and public company now, he's still got to meet the numbers, but your growing business is good, but there's a lot more coming as a big wave coming talk about the Splunk culture. >>So the core elements of culture that I love that. I think all of us agree you don't want to change one where curiosity driven culture, our tool is an investigative tool, so I never want to lose. I think that threat of grit, determination, tenacity and curiosity is paramount in life and I think literally what we push out represents that and I want our people represent that and I think the fun element is really the quirkiness of the fund, like that is one of the things I love about Splunk but we are a serious company, we are in the data plane of tens of thousands of organizations globally and what we do literally makes a difference on whether they're successful or not. As organizations, we're talking about walmart is example And how one second latency can have a, have a 10% drop off in fulfillment of transaction for wal mart that's like a billion dollars a week if you cannot get their system to perform at the level it needs to so what we do matters and the change that we've been driving that I think is a great enhancement to the culture is as we are now tip into the 50% cloud company, you have the opportunity to measure millisecond by millisecond, second by second, minute by minute, hour by hour and that's a different level of help that you get. You can literally see patterns happening over the course of minutes within customers and that's not something we were born with. We were an on premise solution, we had beautiful tools and it was the C E O. S problem, the CSS problem um and their opportunity to get that feedback. Now we get that feedback so we're trying to measure that crunchiness, the fun, the cool part about Splunk with. We also have got to be very operationally disciplined because we carry a heavy responsibility set from our customers and we're in the middle of that as well as the world knows, we're halfway through our transition to be a cloud first company but I'm excited with the results I'm seeing, so I think curiosity and tenacity go with that operational rigor. Like we should all be growth mindset oriented and very excited about, Hey, can I improve? I guess there's some information that I need that I'm not getting that will make me serve my customers better and that is the tone and tenor. I want to cross all the Splunk of whether in HR legal or engineering or sales or we serve customers and we've got to be so excited every day about getting better feedback and how to serve them better. >>Doug. Thanks for coming on the Cuban, sharing that inside. I know you had to cancel your physical event, pulled off an exceptionally strong virtual event here in person. Thanks for having the Cuban. Thanks for coming on. >>Thank you for being here and I can't wait to do this in person. Next >>to mary the ceo of Splunk here inside the cube cube coverage continues stay with us for more. We've got more interviews all the rest of the day, Stay with us. I'm john for your host. Thanks for watching. Mm >>mm mhm >>mhm >>Yeah

>>mm we are back and we're continuing the coverage on H P E. Aruba's news today around the D S X six S C X 10-K with Pensando. Now we want to get the perspective of a system Integrator because they're in the front lines, they understand how to put the pieces together where you're happy to bring john Galatea of Dasher technologies dashes and in the end I. T solutions provider, they gotta focus a lot of expertise on infrastructure, jOHn welcome. Good to see you. >>Thank you for having me. Good to be here. >>That's our pleasure. So I wonder if you could give us a little bit more color on Dasher where you focus what your core companies competencies are, what industries you focus on etcetera. >>Yeah, absolutely. So a dasher, we assess architect implement and manage I. T. Solutions that digitally transform businesses. Our practice areas include cybersecurity, networking, cloud data center and we also offer pro professional services around those practice areas. We partner with all the major tech companies in the space. Some of the examples are HP, Cisco, Aruba Palo Alto eight Ws and many others that fill out the, you know that practice area. >>Well that's great. So you have a very wide observation space, that's why we like talking to SA as you have an independent mindset and you can kind of tell it like it is. But so what are you seeing with customers? It's exactly, we hear a lot about digital transformation, you mentioned security, you're obviously doing cloud that's it's almost like john these pieces are all coming together to power Digital and digital transformation and we were forced into it over the past 18 months. And now people are stepping back saying hey okay we have all these resources, how do we put them together and really transform our business? What do you see? >>Yeah, seeing similar things. So you know, our customers are telling us that they're looking for more speed, more agility, um you know, limited complexity because they're trying to do more every single day with less staffing and a sophistication of integrating functionality that breaks down I. T. Silos. Um there also evaluating security span versus effectiveness And they're moving towards zero trust. >>Yeah. So I want to, I'm gonna come back and ask you about that. So I've written a lot about this is that you look at how much we spend versus as you say the effectiveness and there's sort of an imbalance there, it's like we can't spend enough, it budgets they're not infinite. And even though security is top of top priority for ceos, they've got other things that they have to fund and then zero trust, you know, before the pandemic john that was a buzzword and now it's become a mandate. Any thoughts on that >>in terms of zero Trust? Absolutely yeah it is a mandate, we've seen more and more of our customers moving toward in this direction and defending themselves against cyber threats and yeah absolutely. It accelerated during the pandemic and is continuing to accelerate today. >>Right? And I think there's some things that were reported now going to be permanent with regard to obviously hybrid and the like, cloud security and so forth. So, okay, let's get into some of the news here. What's the big trend, john can you explain the relevance of the H P E, Aruba and Pensando news? >>Yeah, I mean when I first heard of it, you know, I I looked at it as a whole new category because it's a category that's going to deliver cloud scale distributed services closer to where applications are. It's going to simplify. One of the things we mentioned earlier was limiting complexity. So it simplifies the network um, by putting security provisions and operations in a unified management platform and it helps improve your security posture around moving towards zero trust and limits the appliance and vendor sprawl that you might ordinarily have in a in a existing network today. >>Okay, so that's kind of the business cases, you're consolidating a lot of piece parts and that's, you know, from a system integrator standpoint. You know, it's funny people often say, well, isn't that bad for the s I'm like, no, they don't want to be in the business of plumbing, they want to be in the business of, you know, more strategy if they if they just end up bolting stuff together, they're going to go out of business, They need to extend their value. So as a strategic partner, you got an early preview of this launch? The D S S D S S C X 10,000, what was your initial impression reaction you called it? A new category? What do you mean by that? >>Well, it's a new category of of of a data center switch in the digital infrastructure because it includes or incorporates security. Um And more specifically it includes security around east west traffic, which is it doesn't eliminate your perimeter firewall but it actually incorporates more functionality which leads to better simplicity and easier use of management of a platform. So for us, I'm really excited to go position and talk to our clients about this. >>Yes. So we're seeing the flattening of that network, that's even it's obviously been accelerated by the pandemic, everybody talks about that. But if you think about the traditional headquarter hierarchical network and now all of a sudden everybody's working remotely using more cloud. Using more distributed infrastructure that flattens the network. That creates security challenges because you can't just build a perimeter and say, okay, we're safe. You now have to go to where the adversary is and that's everywhere. So what's your sense as to how customers are going to react to this new category of switch? >>I think really my sense is that I've got a really positive outlook on this product. I mean hardware, firewalls are costly and deploying software agents can be very disruptive and when you're integrating it into the switch layer. So um I think the C X 10,000 provides a great alternative to an embedded accelerated services embedded in accelerate service into the D C fabric. Um, it's great for brownfield migration, um, rack pod and you know, and the standards based leaf, you know, L two, L three um, and it doesn't necessarily replace, as I mentioned earlier the perimeter security, but um, it can cap and grow with DSS and east west firewall traffic. >>Yeah. And I think we've seen when we talked to see so, so like you said, it does, it doesn't replace the traditional perimeter security but you're going to see a shift and spending priorities obviously to a comedy because as I said earlier, there's not infinite budget but john give us the big takeaway, Bring us home. What what, what do you want to leave our audience with? >>Yeah, I think, you know, the number one takeaway is that it's a massive opportunity to reduce complexity, enhanced security and lower costs in the data center by eliminating dedicated devices and embedding services through software capability in the network closer to where workloads are are moving. So that's the big takeaway for me and for, I think for our clients, um, you know, other things are, you know, you're the data center perimeter is no longer confined and open an on prem location but extends out, right. We're seeing customers extend out to the cloud and across uh, you know, disparate locations, co locations. So The traditional architecture isn't going to be well suited for this, and I think the CX- 10,000 and its feature set are going to be really great for addressing the changing market. >>Yeah, that's, that's all. I mean, again, we're seeing the democratization of everything and and networking is, is no exception. The notion of simplify simplification, john really appreciate your time. Thanks for coming on. >>Thank you for having me. >>You're welcome. Okay, keep it right. There were unpacking the changing trends in networking generally, and specifically switch networking with HP, Aruba and Pensando and the cube. Keep it right there.

>>Hello everyone Welcome to the cubes coverage of cubic on cloud native come here in person in L A 2021. I'm john ferrier, host of the Cuban Dave Nicholson host cloud host for the cube and of course former host of the cube steve minutemen. Now at red hat stew, we do our normal keynote reviews. We had to have you come back first while hazard and red hat >>john it's phenomenal. Great to see you nice to have Dave be on the program here too. It's been awesome. So yeah, a year and a day since I joined Red hat and uh, I do miss you guys always enjoyed doing the interviews in the cube. But you know, we're still in the community and still interacting lots, >>but we love you too. And Davis, your new replacement and covering the cloud angles. He's gonna bring little stew mo jokes of the interview but still, we've always done the wrap up has always been our favorite interviews to do an analysis of the keynote because let's face it, that's where all the action is. Of course we bring the commentary, but this year it's important because it's the first time we've had an event in two years too. So a lot of people, you know, aren't saying this on camera a lot, but they're kind of nervous. They're worried they're weirded out. We're back in person again. What do I feel? I haven't seen people, I've been working with people online. This is the top story. >>Yeah, john I thought they did a really good job in the keynote this morning. Normally, I mean this community in general is good with inclusion. Part of that inclusion is hey, what are you comfortable with if your remote? We still love you and it's okay. And if you're here in person, you might see there's wrist bands of green, yellow, red as in like, hey, you okay with a handshake. You want to do there or stay the f away from me because I'm not really that comfortable yet being here and it's whatever you're comfortable with. That's okay. >>I think the inclusion and the whole respect for the individual code of conduct, C N C. F and limits Foundation has been on the front end of all those trends. I love how they're taking it to a whole nother level. David, I want to get your take because now with multi cloud, we heard the same message over and over again that hey, open winds, okay. Open winds and still changing fast. What's your take? >>Open absolutely wins. It's uh, it's the present. It's the future. I know in some of the conversations we've had with folks looking back over the last seven years, a lot of things have changed. Um, whenever I think of open source anything, I go back to the foundations of Lennox and I remember a time when you had to reboot a Linux server to re scan a scuzzy bus to add a new storage device and we all sort of put our penguin hats on and kind of ignored that for a while. And uh, and, and as things are developed, we keep coming into these new situations. Multi cluster management was a big, big point of conversation in the keynote today. It's fascinating when you start thinking about something that was once sort of a back room science experiment. Absolutely. It's the center of the enterprise now from a software >>from an open tour standpoint security has been one of those front and center things. One of the day, zero events that got a lot of buzz coming at the beginning of the week was secure supply chain. So with the Solar Wind act going in there, you know, we remember cloud, wait, can I trust it with the security? Open source right now. Open source and security go together. Open source and the security in the cloud all go together. So you know that that wave of open source, obviously one of the things that brought me to red hat, I'd had a couple of decades, you know, working within the enterprise and open source and that that adoption curve which went through a few bumps in the road over time and it took time. But today, I mean open sources have given this show in this ecosystem are such proof >>points of a couple things. I noticed one, I want to do a shout out for the folks who put a nice tribute for dan Kaminsky who has passed away and we miss him. We saw on the Cube 2019, I believe he's on the Cube that year with Adam on big influence, but the inclusiveness do and the community is changing. I think security has changed a lot and I want to get your guys take on this. Security has forced a lot of things happen faster data, open data. Okay. And kubernetes to get hardened faster stew. I know your team's working on it. We know what Azure and amazon is working on it. What do you guys think about how security's been forcing the advances in kubernetes and making that stable? >>Yeah. So john security, you know, is job one, it is everyone's responsibility. We talk about it from a container and kubernetes standpoint. We think we have a relatively good handle on what's happening in the kubernetes space red hat, we made an acquisition earlier this year of stack rocks, which was one of the leading kubernetes native security pieces. But you know, john we know security isn't just a moat anymore in a wall that you put up every single piece. You need to think about it. Um, I've got a person from the stack rocks acquisition actually on my team now and have told him like hey, you need to cross train all of us. We need to understand this more from a marketing standpoint, we need to talk about it from a developer standpoint. We need to have consideration of it. It's no longer, hey, it works okay on my machine. Come on, It needs to go to production. We all know this shift left is something we've been talking about for many years. So yes, security, security, security, we cannot overemphasize how important is um, you know, when it comes to cooper, I think, you know, were relatively mature, we're crossing the chasm, the adoption numbers are there, so it's not an impediment anymore. >>It's totally next level. I don't agree with this too. David, get your thoughts on this whole adoption um, roadmap that put it together, one of the working groups that we interviewed has got that kind of navigate, kinda like trailheads for salesforce, but that speaks to the adoption by mainstream enterprises, not the hard core, >>you know, >>us devops guys, but like it goes into mainstream main main street enterprise had I. T. Department and security groups there, like we got a program faster. How do you see the cloud guys in this ecosystem competing and making that go faster. >>So it's been interesting over the last decade or more often, technology has been ahead of people's comfort level with that technology for obvious reasons, it's not just something went wrong, it's something went wrong. I lost my job. Really, really bad things happened. So we tend to be conservative. Rightfully so in the sometimes there are these seminal moments where a shift happens go back sort of analogous go back to a time when people's main concern with VM ware was how can I get support from Microsoft and all of a sudden it went from that within weeks to how can I deploy this in my enterprise very, very quickly. And I'm fascinated by this concept of locking down the supply chain of code, uh sort of analogous to https, secure, http. It's the idea of making sure that these blocks of code are validated and secure as they get implemented. You mentioned, you mentioned things like cluster and pad's security and infrastructure security. >>Well, David, you brought up a really good point. So get off is the instance creation of that. How can I have my infrastructure as code? How can I make sure that I don't have drift? It's because I could just, it'll live and get hub and therefore it's version controlled. If I try to do something, it will validate that it's there and keep me on version because we know john we talked about it for years on the cube, we've gone beyond human scale if I don't build automation into it, if I don't have the guard rails in place because humans will mess things up so we need to make sure that we have the processes and the automation in place and kubernetes was built for that automation at its core, putting in, we've seen get up the Argosy, D was only went graduated, you know, the one dato was supported as coupon europe. Earlier this year, we already had a number of our customers deploying it using it. Talking publicly >>about it too. I want to get the kid apps angle and that's a good call out there and, and mainly because when we were on the cute, when you work, you post with with us, we were always cheerleading for Cuban. It we love because we've been here every single coupon. We were one saying this is gonna be big trust us and it is, it happens to so, but now we've been kind of, we don't have to sell it anymore. We don't, I mean not that we're selling it, but like we don't have to be a proponent of something we knew was going to happen, it happened. You're now work for a vendor red hat you talk to customers. What is that next level conversation look like now that they know it's real, they have to do it. How is the tops and then modern applications development, changing. What are your observations? Can you share with us from a redhead perspective as someone who's talking to customers, you know, what does real look like? >>Yeah. So get off is a great example of that. So, you know, certain of our government agencies that we work with, you know, obviously very secured about, you know, we want zero trust who do we put in charge of things. So if they can have, you know that that source of truth and know that that is maintained and lockdown and not await some admin is gonna mess something up on us either maliciously or oops, by accident or anything in between. That's why they were pushing that adoption of that kind of technology. So absolutely they, for the most part john they don't want to have to think about the infrastructure piece anymore. What if developers want the old past days was I want to be able to, you know, write once deploy anywhere, live anywhere, containers helps that a little bit. We even have in the container space. Now you can, you can use a service deployment model with Okay. Natives, the big open source project that, you know, VM ware ourselves are working on google's involved in it. So, you know, having us be able to focus on the business and not, you know, running the plumbing anymore. >>That's exactly, that's exactly, that's what we're so psyched for. Okay guys, let's wrap this up and and review the keynote day will start with you. What do you think of the keynote? What were the highlights? What do you take away from the taste keynote? >>So you touched on a couple of things, uh inclusion from all sorts of different angles. Really impressive. This sort of easing back into the world of being face to face. I think they're doing a fantastic job at that. The thing that struck me was something I mentioned earlier. Um moving into multi cluster management in a way that really speaks to enterprise deployments and the complexity of enterprise deployments moving forward? It's not just, it's not just, I'm a developer, I'm using resources in the cloud. I'm doing things this way, the rest of the enterprises doing it a legacy way. It's really an acknowledgement that these things are coming together increasingly. That's what really struck me >>to do. What's your takeaway from the end? >>So there's been a discussion in the industry, you know, what do the next million cloud customers look like we've crossed the chasm on kubernetes. One of the things they announced the keynote is they have a new associate level certification because I tell you before the keynote, I stopped by the breakfast area, saturday table, talk to a couple people. One guy was like, hey, I'm been on amazon for a bunch of years, but I'm a kubernetes newbie, I'm here to learn about that. It's not the same person that five years ago was like, I'm gonna grab all these projects and pull them down from getting, build my stack and you know, have a platform team to manage it from a red hat standpoint, we're delivering our biggest growth areas in cloud services where hey, I've got an SRE team, they can manage all that because can you do it? Sure you got people maybe you'll hire him, but wouldn't you rather have them work on, you know, that security initiative or that new application or some of these pieces, you know, what can you shift to your vendor? What can you offload from your team because we know the only constant is that things are gonna there's gonna be gonna be new pieces and I don't want to have to look at, oh there's another 20 new projects and how does that fit? Can I have a partner or consultant in sc that can help me integrate that into my environment when it makes sense for me because otherwise, oh my God, cloud, So much innovation. How do I grasp what I want? >>Great stuff guys, I would just say my summary is that okay? I'm excited this community has broken through the pandemic and survived and thrived people were working together during the pandemic. It's like a V. I. P. Event here. So that my keynote epiphany was this is like the who's who some big players are here. I saw Bill Vaz from amazon on the on the ground floor on monday night, He's number two at a W. S. I saw some top Vcs here. Microsoft IBM red hat the whole way tracks back. Whole track is back and it's a hybrid event. So I think we're here for the long haul with hybrid events where you can see a lot more in person, V. I. P. Like vibe people are doing deals. It feels alive too and it's all open. So it's all cool. And again, the team at C. N. C. F. They do an exceptional job of inclusion and making people feel safe and cool. So, great job. Thanks for coming on. I appreciate it. Good stuff. Okay. The keynote review from the cube Stupid Man shot for Dave Nicholson. Thanks for watching >>mm mm mm.

>>from the bellagio hotel >>in Las Vegas, it's the cube covering Ui Path forward. Four brought to you >>by Ui Path. Welcome back from the bellagio in Las Vegas. The Cubans live at Ui Path forward for I'm lisa martin here with Dave Volonte. We're gonna be talking about roadblocks to automation and how to navigate around them, joining us next as Pernando Panini expert associate partner at bain and company per night. Welcome to the program. >>Thanks lisa. Happy to be here. >>Talk to us about some of the use cases that bain is working on with you I Path and then we'll dig into some of those roadblocks that you guys have uncovered. >>Yes. Uh I started a few months ago where we're working with Brandon who's the product lead on the Ui part side. We wanted to understand what's the state of citizen development and what are the blockers and how we should Both from the product side. But also on the automation journey side we need to dig deeper and understand where each of the clients and the employees are going through the journey together >>and if you look at it from the citizen developer perspective, what are some of those roadblocks? >>There are a few. So when like if you before we go to the roadblocks there are three main concerns or I would say critical groups that are involved in being successful with automation. The organization or bu leaders, the I. T. And employees. So each of the groups have different perceptions on like misconceptions or perceptions on benefits of automation and how to go up go about it. The blockers that we have seen where like a three sets of blockers. The first is cognitive where employees are unaware of automation on the benefits of automation and the second one is more organizational where organization leaders and how they feel about automation or how the how they think about employees when we introduce automation to them. One part of that is there is a misconception without nation leaders that employees are fearful of job loss when you introduce automation. What we have seen in our research is it's completely the opposite of employees are eager to adopt automation have given an opportunity, they are willing to upscale themselves and they are willing to save the time so that they can spend that on critical value added activities for um for their customers in the process. And a third blocker that we have seen is more on the product side where the some of the employees that we talked to as much as progress has been made by RPF vendors and local local vendors. It's still these tools are not intuitive user friendly for business users. They still feel they need to go through some training programs and have a better user friendly interface is >>what's the entry point she would organization first time I ever heard of Arpaio Years and years and years ago was at a CFO conference. Okay so that's cool. It seems like it forward for there's a lot more C. I. O presence here and that. Is that relatively new or did I just miss it before? >>It is relatively new. So like when we looked at like in the past few years the empty point has been someone in finance or I. T. Has heard about R. P. A. The benefits of head. They went and bought a handful of licenses and then they went and implemented it but it's just a handful of processes. It's not organizational wide. It has been mostly on a smaller sub scale of processes. And projects now that like organizations are realizing employees are asking and we are like slowly growing up with automation ceo es it's now it's intersecting with the C XL level of if it has to intersect with your or if you want to reinvent your business through automation, it has to come from the sea X level and that's where we're seeing more and more. See IOS are being involved in decisions on automation journeys, the technologies they have to buy and adopt for the business processes. >>So I. T. Can be an enabler of course. Also sometimes it can be a blocker. Um and you know, certainly from security standpoint governance etcetera. And so one of the things that we heard today in the keynotes was you don't want to automate the C I. O. He or she owns this application portfolio and everybody wants to do new projects because that's the fun stuff we heard from one CFO. Yeah. You add up all the NPV from the new projects. It's bigger than the valuation of the company. Right. But the C i O is stuck having to manage the infrastructure and all the processes around the existing application portfolio. One of things I heard today was don't automate an application or a process that you're trying to retire because we never get rid of stuff in it. So I wonder should automation like an enterprise wide automation? Should there be kind of an application rationalization exercise or a business process rationalization coincident with that >>initiative? Absolutely. I think that was one of the blockers that we have seen. Like some of the misconceptions and some of the blockers when I looked at it for them, they consider like you're bringing all these tools you're asking business users to like who haven't had haven't been trained in technology or programming, You're asking them to build these automation ins So one they have to manage with the all the applications and the tools for all that happens. And to manage these automation is after business users have either left the company or moved on. So it is essential for them to think through and provide a streamline tools it on on two aspects. one it needs to be as as you started off, it needs to be an enabler to provide them the specific tools that they can, they have already blessed. They've curated it which are ready for business consumption. A second part I can also do is providing collaboration platforms so that business users can learn from each other and from it so that they can one are developing the right processes with the right methodology that is governed by I. T. And no security or data governance issues. Come through. >>One of the things that you mentioned in terms of the three roadblocks ceo uncovered was that you were surprised that the results of the research showed that in fact employees are really wanting to adopt automation. In fact I think the stat is um 86% of employees want automation but only 30% of leaders are giving them the opportunity to use that. That's a big gap. Why do you think that is >>so a few things. Right. I mean as we talked about the three constituents that you have right one is automation leaders. If you consider from them. Their view is their employees are not capable of adopting or building on the automation is using these tools and they need technical skills. But the all the automation vendors have made progress and if you look at the tools today are much more user friendly and business users are willing to adopt. The second part as we talked about is like the fear of job loss from the employee standpoint. Whereas employees are looking at it as an opportunity for them to up skill but also eliminate the pain points that they have today in the day to day activities using the automation tools. And for them it is like this is helping them spend the time with the customers where it matters on critical value added activities versus going through reparative process of the journey. And the third part we talked about earlier with I. T. I. T. Has this notion that they need to build and develop anything technical. Business users will not be able to build or manage and they're also worried about the governance, the security and the third part which you brought up earlier is that tool sprawl, It's like we need to manage like this volume of tools that are coming in which is only adding to their plate of already busy busy workforce. >>I have one of those. It depends questions and it's a good consultant I'm sure you say well it depends but are there patterns best practice or even more than best pressures? Are there sort of play books if you will? And patterns? I'm sure it's situational. But are you seeing patterns emerge, you can say okay this sort of category should approach it this way. Here's another one in a different, maybe it's a department bottoms up top down, can you help us sort of squint through that? >>Yeah. So in terms of approaches like at least up till now the prevalent thing that is happening is like C. O. Es went and buy some licenses they talk about like opportunities that they have. So it's more of a top down driven uh like ceo driven agenda. What we're seeing now especially with citizen automation or democratisation of automation is there's a new approach of including employees into the journey and bringing the bottoms up approach. So there's a happy path where you marry up the top down approach with bottoms up and one you will find opportunities which are organizational wide with the bu leaders and they are ones which are on the long tail of opportunities which employees feel the pain but I. T. Or C. O. He doesn't have the time to come and implement or automate these activities. Um considering like one part we have seen which is increasingly helpful for people who have done this properly is including employees. And one thing we talked yesterday is invest in employees. They consider automation as investment in employees rather than something they're doing to employees. So it's kind of collaborating with employees to make progress which seems to be helping evangelize and also benefit with automation. How >>Have the events of the last 18 months impacted this as well, we've seen so much acceleration and the mandate for automation. What are some of the things that you've seen? >>Sure. So for us like even before the pandemic we've seen in our research so like more than close to 50% of the organizations that they started the automation journey were unable to achieve the savings or targets that they set themselves for whatever the success factors are. Which which hard. A few reasons one they didn't have the organizational support, not they were taking the end to end journey or a customer journey to figure out like what are these big opportunities that they can go through and they haven't included employees and to figure out what are the major pain points to go through the journey. One thing it was clear was with covid, no one expected this kind of disruption in a pan and a pandemic. There are a lot of offshore centres or like pretty much different geography is got disconnected from the work that's being done. You still need to support your customers, there is still a higher demand, what do you do? It's not like you can scale up your employees in a pandemic, that's where like we have seen increasing push towards automation and technology to see that can help and support and scale in a pandemic environment uh and also help your customers in the journey. >>So has in your opinion has automation become a mandate? Uh As a result of the pandemic >>I would say. Yeah I I would consider it's more of like now it's become a I would say uh business won a competitive differentiator to say like one I needed to keep my lights on and resiliency but also the companies have done really well they saw the advantage and they whether the pandemic better with the customers now they use that as a platform to create a competitive differentiation against their peers and push things forward. >>one of the things we heard of today and the keynotes is you got to think about my words, the life cycle, you don't just put in the bot and then just leave it alone. You really have to think through that. And that seems to me to be where you would help customers think through how to get the most return out of their investment. You I passed product company I think it's great. And so you talk about the value layer that you guys bring. >>So for us it's it's like when we talked to mostly be bringing from the business side of the house to understand what are the key drivers that you need to work on. I mean even before we talk about technology, we talk about, let's understand from the customer standpoint what is your customer journey into end and look through that journey lens and let's take the process and to end, let's look at redesigning process and making it more optimal and streamlined and where technology fits in. That's when we talk about like if it is an RPG or if it's a UI Path platform that can support, let's go through that journey versus taking the tool itself as the solution and trying to find every nail that you can hurt, which usually is not sustainable to your point. Like we need to think through the whole life cycle, make sure this is going to last. Or if you are retiring. Like in the ceo panel that was a discussion where that we need to think through when we are going to retire and make sure like we are in that journey versus building all these automation zor bringing all these tools and leaving them alone for I. T. To manage long term. >>No. Again the last 18 months. Again, question about the the um reactions catalyzed facilitated thinking about those three roadblocks. The cognitive roadblocks the organizational roadblocks since particularly what I'm interested in this question and product, what are some of the conversations that you've seen or trends that you seem to help those organizations better understand how to collaborate with each other so that what they're not doing is putting in our P. A point tools but really starting to build the right part of the nomination and and journey into their digital transformation plans. Yeah. >>I mean in a way to again, I'll go back to the three concerns that we talked earlier, right? It's it can only go so far and automate so much because they haven't seen the business lens of like how the processes are what they have to do and to end, which is where you need to involve the business leaders who can give you that view from the business side and employees who are seeing the work day to day and where they can eliminate the pain points. So the organisms that are successful, they are creating a collaborative environment between the three groups to push things forward. You >>have to have that collaboration that's critical. Otherwise, that's probably one of the road blockers as well. >>Yeah, absolutely. >>Where does automation fit? I mean you're obviously heavily into automation, but let's think about the bane portfolio, the boardroom discussions. Where does automation fit? I mean there's security, there's how do we embed ai into our business? How do we sas if I our business um how do we do transform digitally? Where's automation fit in that hole discourse? >>So I think the automation is like at the heart of digital transformation, the part which we have seen where the gap is is not taking the business angle and actually thinking through the process and to end versus picking up a tool and trying to go solve a problem or find a problem to solve. And that's where we think in our discussions with boardrooms, it's more of let's think through how you want to reimagine your company or how you want to be more competitive looking into the future and like walk back from that standpoint and then started part from, I mean, the way we call it the future back like where you are today and now, like let's go forward and to what your end status and where technology broadly a digital tools and where automation fits in the process. >>How do you see what you i path is talking about at this conference? The announcements from yesterday? There's a lot of people here which is fantastic. How do you see what they're announcing? The vision that they set out a couple years ago that they're now delivering on. How is that a facilitator of organizations removing those roadblocks? Because as you said automation is a huge competitive differentiator these days and If we've learned nothing in the last 19 months you gotta you gotta be careful because there's always a competitor in the rear view mirror who might be smaller faster more agile ready to take your place. >>Yeah so like a few things that we've seen in the product roadmap that you talked about is they are providing the collaboration platform or tools where the I. T. Business owners can work through. Like for automation hub is what they talked at length yesterday is that's the platform where business users can provide their ideas. Like you provide process mining tools which can capture the process and the business users understand the process and they are the ones who are putting in an opportunity on the road map. So you have now a platform where all the ideas are being catalogued and once you implement they're being tracked on the automation hub so that that is providing a platform for everyone to collaborate together. The second one which Brandon talked yesterday is the tool itself for Studio X. When we're talking about citizen developers, employees trying to use and make it more user friendly. Is that where the Studio X which is providing that you are interface? Which is easy intuitive for business users to build basic automation is and try to take that long tail of opportunities that we talked about. So all these tools are coming together as one platform play, which you ipod has been talking about all through the conference and that is critical for everyone to collaborate to make a progress versus only thinking it's an easy job to implement the automation opportunities. That >>collaboration is business critical these days. Right. Thank you for joining David me and the program talking about some of the roadblocks that you've uncovered, but also some of the ways that organizations in any industry can navigate around them and really empower those employees who want automation in their jobs. We appreciate your insights. >>Happy to be here. Thanks for having us. You're welcome >>for day Volonte. I'm lisa martin live in las Vegas at UI Path forward for we'll be right back with our next guest. Yeah. >>Yeah. Mm. Mhm

>>from the bellagio hotel in Las Vegas >>it's the >>cube >>covering Ui >>Path Forward four brought to you >>by Ui Path. >>Welcome back to las Vegas. The cube is live with you. I Path forward four at the bellagio lisa martin with Dave Volonte. We're gonna be talking about you I Path integration suite, we have a couple of guests joining us here. Mark Jeannie is here the GM of Ui Path, formerly the co founder and Ceo of cloud elements and Peter Villeroy also joins us Director of Global I. T. Automation practice at UI Path guys welcome to the program. >>Thanks lisa. Great to hear. >>So Mark, let's go ahead and start with you. The Cloud elements acquisition was done in about the last six months. Talk to us about why you chose to be acquired by Ui Path and where things are today. Some big announcements yesterday. >>Yeah absolutely. So yeah if you go back six months ago um you know we have been in conversations with you I Path for for quite a while and um you know as we were looking at our opportunities as an api integration platform. So cloud elements just to step back a little bit um was a leader in helping companies take a P. I. S integrate applications together and bed that into their into their apps and um you know I Path approached us about the combination of what's happening in the automation world and you know these these have been a society as the marine Fleming from I. D. C. Mentioned this morning integration and DARPA have been separate swim lanes and what we saw and what you I. Path approaches with was ability to combine these together and really be the first company to take and take ui automation and seamlessly connected together with A. P. I. Automation or api integration >>Peter What's been some of the feedback? We know you guys are more than 9000 customers strong now we've had a whole bunch of amount yesterday and today. What's been the feedback so far on the cloud elements acquisition? So >>there's a huge amount of interest. We've had very positive feedback on that lisa the combination of Ui driven automation and A. P. I. Uh Native Integrations is is key especially to the I. T. Leadership that I work with. Um some of whom have traditionally compartmentalized you ipads platform in the Ui space and legitimately think about their own internal processes as being having very little to do with the user interface right. And so combining Ui driven automation together with uh api integration really helps too pick them up where they are and show them the power of that kind of a hyper automation platform that can deliver value in a number of spaces. And you guys ever >>see the movie Blindside? All right. You know what I'm talking about with joe. Theismann gets hit from the blind side and then his career is over and and that's when people realized oh my gosh the left tackle for right handed quarterback is so important and it's subsequent drafts when somebody would pick a left tackle like a good left all the rest went and that's what's happening in in the automation business today. You guys took the lead, you you set the trend. People said wow this is actually going to be a huge market. And then now we're seeing all this gonna occur. And a lot of it from these big software companies who believe every dollar of software should go to them saying hey we can actually profit from this within our own vertical stacks. So what do you make of all the M. And A. That's going on in particular? There was one recently where private equity firm is mashing together a long time R. P. A vendor with a long time integration firm. So it looks like you guys, you know on the right >>side of history in this regard. Your thoughts. Yeah. Absolutely. I mean if you think about automation right you've got to obviously help people do their jobs better. But if you're going to automate a process and a department you needed connect the applications that they use that those people use otherwise you can't accomplish it. And where ap is fit in as is automation and ui automation has become more and more mission critical and it's become bigger and bigger part of enterprise I. T. Wants to get involved. And so enterprise gets involved and what's their stack. It's api based their technology stack is how you connect back is through api so more and more companies are seeing what you I path saw is that if you're gonna automate every process and every department for every person you need to connect to every application that they're using and that's why this is now becoming right. Three companies now just recently have done these types of acquisitions of bringing an integration platform in and combining them together are trying to combine them together. >>All mps are not created equally as we know. Some are sort of half baked lot of them. Many of them don't have decent documentation so there's sort of a spectrum there. How do you, how do you think about prioritizing? How do you think about the landscape? Do you just kind of ignore the stuff that's not well documented and eventually that will take care of itself. How should we think about there have always >>been layers of integration right. Especially working with the ICTy organizations. So you've got our native integrations would make it easy to drag and drop activities and then you've got the A. P. I. Is that we can consume with various activities. That area has really grown through the acquisition of cloud elements and then you've got that third layer where when all else fails, you go on to the user interface and interact with the application like a human does and what you see is that our our interaction with college elements really enables a great enhancement of that lower base level um which is mildly interesting to the lines of business very important. I Yeah, for sure. >>So the reason I asked that question is I was talking to one of your customers this big ASAP customers said I love you ipad. The problem I have is I got so many custom mods and so it's just you know orally documented and I can't I wanna put automation in there but I can't. So to those parts of the tech stack become like the main frame of you know what I mean? And just sort of they live there and they just keep doing their thing but there's so much innovation that pops up around it. How do you how do you see that? >>Well that's part of the agility that comes with the platform like you ipads is that you can interact with the very clean uh swagger documented restful aPI s and you can interact with SCP on their proprietary ages old A. P. I. S. Um Those are things that we've traditionally done decently well, but again through this acquisition we could do that on a grander scale um with bidirectional triggering and all the goodness that you >>solve that problem today that your customer and this is a couple of years ago, you can solve that problem with cloud elements. Is that right? >>Yeah, absolutely. The the ability to integrate too these enterprise platforms like ASAP you need multiple tools to do the job. Right. So ui automation is great but if you've customized ui significantly or other things like that then the A. P. I can be a great structure for it and other cases where um that api provides a resiliency in a in a scale to it that um opens up new processes as well to those corporate systems. Right? So the balance of being able to bring these two worlds together is where you can unlock more because you got >>east west automation >>that's very good overhead and now >>you're going north south with cloud elements is deeper. Right, >>bottom line from the VP of its point of view, the more that can be done from a machine to machine communication the better. So sure. >>What's the opportunity for the existing cloud elements customers to take advantage of here? >>Yeah, absolutely. Um We've continued to support, brought our customers over with us. Uh Part of our customer base has actually been a significant number of software customers. Uh cos S. A. P. S. One of them doc you sign gain site, you know, so household names in the world of software as well as large financial services institutions like US Bank and Capital One and american Express, all of them had that common need where um they wanted to have an api centric approach to being able to connect to customers and partners and leverage our platform to do that. So we will continue to support that extend that. But we see opportunities where again we couldn't automate everything for our customers just threw a PS And uh you know for example one of our major financial services institutions were working with wants to take um and provide a robot for their uh customers and commercial payments to be able to automatically kick off in A. P. I. And so that seamless integration where we can combine that automation with robots leveraging and kicking off a P. I. S automatically takes us further into automating those processes for those >>customers. So you guys six months right. Uh talk about how that integration api integration company better gone smoothly. But what was that like you guys are getting the knack of M and a talk about that, what you learn maybe what you would do differently to even accelerate further, How'd it go? Uh >>That's the best answer from you having been on the >>acquisition side. Um Well we how well it went is six months later, which I think is really unheard of in the technology world, we're introducing our combined offering you I Path integration service that essentially takes what cloud elements built embeds it right into automation. Cloud studio in the Ui Path products. We and uh it's been a global effort. Right? So we had the Ui Path team was based in Hyderabad Denver and Dallas and then we've got um Ui Path engineers working with that cloud elements team that are in Bucharest Bellevue and bangalore and with the miracles of zoom and uh that type of thing, never meeting anyone in person, we were able to integrate the product together and launch it here today >>six months is a fast turnaround time frame was how much of that was accelerated by the, by the fact of the global situation that we're in. >>Yeah, well you know in some respects that that helped right? Because we um um we didn't have to waste time traveling and we could hop on zoom calls instantly. We spent a lot of time even over zoom making sure there was a cultural fit. You I path has a, you know, not only the humble, bold and type of values but it's a very collaborative environment, very open and collaborative environment as Brent can attest to. And that collaboration, I think in that spirit of collaboration really helped us feel welcome and move quickly to pull this together. And also >>the necessity is the mother of innovation right. Uh you ipad traditionally being popular in the CFOs organization were becoming the C I O s best friend and the timing was right to introduce this kind of capability to combine with what we traditionally do well and really move into their picking up like I said the customer where they are and leading them into that fully end to end automation capability and this was integral. So it wasn't time to kick the tires but to get moving >>and my right, there's a governance play here as well because I. T. Is kind of generally responsible for governance if you make it easier for them to whatever governance systems they're using >>governance privacy >>security that now you can just connect. They don't have to rip and replace. Is there an angle there? >>Sure, yeah. So nothing is more important than I. T. Than than control and governments and change management and half of the uh conversations we're having out there on the floor are around that right um uh ensuring that all of the good governance is in place um and we have a lot of the uh integrations and frameworks necessary to help that through your devops pipeline and doing proper ci cd and test automation um and you know introducing that integration layer in addition to what we already have just helps all of that to uh move more smoothly and bring more value to our customers. >>Mark talk to me about some of the feedback from customers that you mentioned, doc Watson. S A P probably I imagine joint customers with you. I path now there you're working together, what's the what's in it for them? >>Yeah, no the feedback has been tremendous. Right, so um api automation is not new to you. I path but customers have been asking for more capability. So one of them is in that governance area that we were just talking about, right, the ability to create connections centrally enable them disable them. Right? You got mission critical corporate applications. You want to be able to make sure that those applications are being controlled and monitored. Right? So that was one aspect. And by bringing this as a cloud based service, we can accomplish that. Um the other area is that this eventing capability, the ability to kick off workflows and processes based on changes to corporate applications, a new employees added in workday. I want to kick off a process to onboard that new employee and that triggered eventing service has been really well received and then um yeah, so that I'd say with the ability to also create new connections more simply was the third big factor. Uh we created a standardized authentication service. So no matter where you are in the UI Path product line, you get a consistent way to create a new connection, whether it's a personal connection by a business user too, you know, google docs or Microsoft office or your C O E R I T. Creating a connection to uh an important corporate system. >>How about the partner? I know you guys had partner day here leading into forward for they must be stoked about this gives you a lever to even add new partners. What was those >>conversations like? Yeah, yeah, no, absolutely. The partners are excited about those same features but um they're also excited about something in our roadmap which we expect to be previewing early next year and that's a connector builder. So the ability for partners to uh more quickly than ever create their own connectors. That'll work just like first party connectors that we ui Path build and add them into catalogs, share them in the market place. So there's new revenue opportunities, new opportunities for partners to create reusable assets that they can leverage and yeah so um lots of things, lots of work to continue to do, right? It's only been six months and uh but that's that's gonna be a big initiative going forward. >>So integration service as you mentioned, announced at this conference, we know that that's the first step obviously accomplished as we also talked about very quickly in a six month time period. But what does the future hold for api automation and integration service? >>So um one of the key areas just continue to expose the integration service um more broadly in the Ui Path product portfolio. Now that we have this service, more Ui Path products will be able to leverage it. Right? We're starting off with studio and orchestrator but that we can all use and share that common common capability. Um The other is to make access to complex business systems easier. So you think about it right. A uh to get a purchase order from net suite might take five or six api calls to do. Well, a citizen developer doesn't know what those five or six things you have to do. So we'll be creating these business activities or just get me open purchase orders that will work seamlessly in the studio product. And behind the scenes. Well, chain together those 56 aPI calls to make that a simple process. Right? So taking the integration service and making it even more powerful tool for that citizen developer than nontechnical user as well. So that's >>development work you're going to do. >>That's what we're gonna do as well as enable partners to do as well. So it's a key part of our road map over time. Because >>yeah I mean the partner pieces key because when net suite changes how it you're creating that abstraction layer. So but that's value add for the partners. >>Absolutely. And they have that domain expertise, right. They can create assets, leveraging the UI path automation capabilities but also bring their knowledge about A. S. A. P. Or workday and those oracle ebs and those core business systems and then combine that together into assets that enhance integration service that they build and I can I can share with their customers and share with our market >>because the work workday developer is going to know about that well ahead of time. No, >>it's coming and they know better than we do. Right. That's their business. That's what they know really well. >>Nice nice value at opportunity, peter >>One of the things that you iPad has been known for is its being very and I've said this on the program the last two days, that's being a good use case for land and expand. You guys have 70% of revenue that comes from existing customers. Talk to me about the cloud elements acquisition as a facilitator of because you kind of mentioned, you know, we're used to be really in bed with the cfos now we're going to see us and we've heard from a number of your customers where they started in finance and it's now Enterprise White, how is this going to help facilitate that? Even more? >>It really helps, you know, touching on what Mark just mentioned about the citizen developer, right, just as one of many examples, the empowerment of end users to automate things for themselves um is critical to that land and expand um successes that we've been seeing and where from an I. T standpoint, the frustration with the citizen developer is, you know, maybe what they're building isn't so top notch right? It works for themselves. What we can't replicate that, but put making it easy to make api integration part of what they do in studio X is so key to enhancing also the reusability of what's coming out of there. So that c uh C O E S can replicate that across teams are globally within their organization and that's part of land and expand because you may find something that's valuable in one line of business replicates easily into another line of business if the tool set is in place >>pretty powerful model lisa >>it is guys. Thanks so much for joining us today, talking about the club elements acquisition, what you're uh, doing with integration service, What's to come the opportunities in it for both sides and your partners? We appreciate your time. >>Great. Thank you. Thank you very much. I >>appreciate it. Thank you for >>David Want I'm lisa martin. You're watching the cube live in las Vegas at the bellagio Ui Path forward for stick around. We'll be right back. Yeah. Mhm. Mhm mm.

>>Welcome back to the cubes coverage of H P S. Green Lake announcement. We've been following Green Lake and the cadence of announcements making. Now we're gonna talk about ransomware, ransomware become a household term. But what people really don't understand is that virtually any bad actor can become a ransomware criminal by going on the dark web hiring a ransomware as a service sticking, putting a stick into a server and taking a piece of the action and that is a really insidious threat. Uh, the adversaries are extremely capable, so we're going to dig into that with Omar assad, who's the storage platform, lead cloud data services at H P E and Deepak verma vice president of product Zito, which is now an H P E company Gentlemen, welcome to the cube. Good to see you. Thank you. >>Thank you. Welcome. Pleasure to be here. So >>over you heard my little narrative upfront. How does the Xarelto acquisition fit into that discourse? >>Thank you. Dave first of all, we're extremely excited to welcome Sir toe into the HP family. Uh, the acquisition of Puerto expands the Green Lake offerings from H P E uh, into the data protection as a service and ransomware protection as a service capabilities and it at the same time accelerates the transformation that the HP storage businesses going through as it transforms itself into more of a cloud native business, which sort of follows on from the May 4th announcements that you helped us cover. Uh, this enables the HP sales teams to now expand the data protection perimeter and to start offering data protection as a service and ransomware as a service with the best in class technologies uh, from a protection site as well as from ransomware recovery side of the house. And so we're all the way down already trying to integrate uh, you know, the little offerings as part of the Green lake offerings and extending support through our services organization. And the more of these announcements are gonna roll out later in the month. >>And I think that's what you want to see from it as a service offering. You want to see a fast cadence of new services that are not a box by a box that are applying. No, it's services that you want to access. So let's, let's talk about before we get into the tech, can we talk about how you're helping customers deal with ransomware? Maybe some of the use cases that you're seeing. >>First of all, extremely excited to be part of the HP family now. Um, Quick history and that we've been around for about 11 years. We've had about 9000 plus customers and they all benefit from essentially the same technology that we invented 11 years ago. First and foremost, one of the use cases has been continuous data protection. So were built on the CdP platform, which means extremely low RTO S and R P O S for recovery. I'll give you example there um, United Airlines is an application that cost them $1 million dollars for every hour that they're down. They use traditional approaches. That would be a lot of loss with Zito, we have that down two seconds of loss in case and the application goes down. So that's kind of core and fundamental to our plaque. The second uh critical use case that for us has been simplicity. A lot of customers have said we make the difficult, simple. So DRS is a complex uh process. Um, give you an example there. Hcea Healthcare Consolidated four different disaster recovery platforms into a single platform in Puerto and saved about $10 million dollars a year. So it's making that operations of having disaster recovery process is much simpler. Um the third kind of critical use case for us as uh, the environment has evolved as the landscape has involved has been around hybrid cloud. So being able to take customers to the platforms that they want to go to that's critical for us And for our customers an example, there is Kingston technology's so Kingston tried some competitive products to move to Azure, it would take them about 24 hours to recover 30 VMS or so with zero technology. They will get about all their 1000 VMS up in Azure instantaneously. So these are three use cases that were foundational. Built. Built the company in the tech. >>Nice. Thank you. Thank you for that. So simple works well these days, especially with all this complexity we have to deal with. Can we get into the secret sauce a little bit. I mean CdP has been around forever. What do you guys do that? That's different. Maybe you can talk about that. Sure. >>Um it's cdp based, I think we've perfected the technology. It's less about being able to just copy the data. It's more about what you do when things go bump. We've made it simpler with driven economies of scale lower and being platform agnostic. We've really brought that up across to whatever platforms once upon a time it was moving from physical to virtual or even across different virtualization platforms and then being able to move across to whatever cloud platform customer may want or or back >>to cbP continuous data protection by the way for the audience that may not know that go ahead. And >>one of the additional points that I want to add to the box comment over here is the the basics of platform independence is what really drew uh hp technologists into the technology because you know, one of the things we have many, we have the high end platform with the H B electra nine Kv of the electro six kids the midrange platform. Then we have a bunch of file and object offerings on the side. What zero does it University universally applies to all those technologies and along with, you know, as you pair them up with our computer offerings to offer a full stack but now the stack is disaster recovery capable. Natively with the integration of certo, you know, one of the things that, you know, Deepak talked about about the as your migrations that a lot of the customers are talking about cloud is also coming up as a D our use case for a lot of our customers, customers, you know, you know, as we went through thousands of customers interviews one of the, one of the key things that came back was investing in a D our data center which is just waiting there for a disaster to happen. It's a very expensive insurance policy. So absurd. Oh, through its native capabilities allows customers to do is to just use public cloud as a D our target and and as a service, it just takes care of all the format conversions and recoveries and although that's completely automated inside the platform and and we feel that, you know, when you combine this either at the high end of data center storage offering or the middle age offering with this replication, D. R. And ransomware protection built into the same package, working under the same hood, it just simplifies and streamlines the customers deployment. >>Come here a couple of things. So first of all historically, if you wanted to recover to appoint within let's say, you know, 10 seconds, five seconds you have to pay up. Big time. Number one. Number two is you couldn't test your D. R. It was too risky. So people just had it in, they had a checkbox on compliance but they actually couldn't really test it because they were afraid they were going to lose data. So it sounds like you're solving both of those problems or >>or you know we remember the D. R. Test where it was a weekend. It was an event right? It was the event and at the end of july that the entire I. T. Organizing honey >>it's not gonna be home this weekend. Exactly what >>we've changed. That is a click of a button. You can D. R. Test today if you want to you can have disaster recovery still running. You can D. R. Test in Azure bring up your environment an isolated network bubble, make sure everything's running and bring it and bring it down. The interesting thing is the technology was invented back when our fear in the industry was losing a data center was losing power was catastrophic, natural disasters. But the technology has lent itself very well to the new threats which which are very much around ransomware as you mentioned because it's a type of disaster. Somebody's going after your data. Physical servers are still around but you still need to go back to a point in time and you need to do that very quickly. So the technology has really just found itself uh appealing to new challenges. >>If a customer asks you can I really eliminate cyber attacks, where should I put my my if I had 100 bucks to spend. Should I spend it on you know layers and defense should I spend it on recovery. Both, what would you tell them? >>I think it's a balanced answer. I think prevention is 100% impossible. Uh It's really I'd say spend it in in thirds. You want to spend a third of it and and prevention a third of it maybe in detection and then a third of it in uh recovery. So it's really that balancing act that means you can't leave the front door open but then have a lot of recovery techniques invested in. It has to be it has to be a balance and it's also not a matter of if it's a matter of when so we invest in all three areas. Hopefully two of them will work to your advantage. >>You dave you you should always protect your perimeter. I mean that that goes without saying but then as you invest in other aspects of the business, as Deepak mentioned, recovery needs to be fast and quick recovery whether from your recovering from a backup disaster. Are you covering from a data center disaster a corrupted file or from a ransomware attack. A couple of things that zero really stitches together like journal based recovery has been allowed for a while but making journal based recovery platform independent in a seamless fashion with the click of a button within five seconds go back to where your situation was. That gives you the peace of mind that even if the perimeter was breached, you're still protected, you know, five minutes into the problem And, and that's the peace of mind, which along with data protection as a service, disaster recovery as a service and now integrating this, you know, recovery from ransomware along with it in a very simple, easy to consume package is what drew us into the >>more you can do this you said on the use the cloud as a target. I could use the cloud as an air gap if I wanted to. It sounds like it's cloud Native, correct? Just wrap your stack in kubernetes and shove it in the cloud and have a host and say we're cloud to No, really I'm serious. So >>absolutely, we we looked at that approach and that that's where the challenge comes in, Right? So I give you the example of Kingston technology just doesn't scale, it's not fast enough. What we did was developed a platform for cloud Native. We consume cloud services where necessary in order to provide that scalability. So one example in Azure is being able to use scale set. So think about a scenario where you just declare a disaster, you've got 1000 VMS to move over, we can spin up the workers that need to do the work to get 1000 VMS spin them down. So you're up and running instantaneously and that involves using cloud Native uh tools and technologies, >>can we stay on that for a minute, So take take us through an example of what life was like would be like without zero trying to recover and what it's like with Puerto resources, complexity time maybe you could sort of paint a picture. Sure. >>Let me, I'll actually use an example from a customer 10 Kata. They uh develop defensive fabrics, especially fabric. So think about firefighters, think about our men and women abroad that need protective clothing that developed the fibers behave. They were hit by ransomware by crypto locker. That this was before zero. Unfortunately it took they took about a two week uh data loss. It took them weeks to recover that environment, bring it back up and the confidence was pretty low. They invested in, they looked at our technology, they invested in the technology and then they were hit with a different variant of crypto locker immediately. The the IT administrators and the ITS folks there were relieved right, they had a sense of confidence to say yes we can recover. And the second time around they had data loss of about 10 seconds, they could recover within a few minutes. So that's the before and after picture giving customers that confidence to say yep, a breach happened, we tried our best but now it's up to recovery and I can recover without having to dig tapes out from some vault and hopefully have a good copy of data sitting there and then try that over and over again and there's a tolerance right before a time before which business will not be able to sustain itself. So what we want to do is minimize that for businesses so that they can recover as quickly as possible with as little data loss as possible. >>Thank you for that. So, Omar, there's a bigger sort of cyber recovery agenda that you have as part of, of green lake, I'm sure. What, what should we expect, what's next? Where do you want to take this? >>So uh excellent question point in the future day. So one of the things that you helped us, uh you know, unveil uh in May was the data services. Cloud console. Data services. Cloud console was the first uh sort of delivery as we took the storage business as it is and start to transform into more of a cloud native business. We introduced electra uh which is the cloud native hardware with the customers buy for persistent storage within their data center. But then data services, cloud console truly cemented that cloud operational model. Uh We separated the management from, from the devices itself and sort of lifted it up as a sas service into the public, public cloud. So now what you're gonna see is, you know, more and more data and data management services come up on the data services. Cloud console and and zero is going to be one of the first ones. Cloud physics was another one that we we talked about, but zero is the is the true data management service that is going to come up on data services, cloud console as part of the Green Lake services agenda that that HP has in the customer's environ and then you're gonna see compliance as a service. You're going to see data protection as a service. You're gonna see disaster recovery as a service. But the beautiful thing about it is, is choice with simplicity as these services get loaded up on data services, clown console. All our customers instantly get it. There's nothing to install, there's nothing to troubleshoot uh, there's nothing to size. All those capabilities are available on the console, customers go in and just start consuming Xarelto capabilities from a management control plane, Disaster recovery control plan are going to be available on the data services, cloud console, automatically detecting electro systems, rian Bear systems, container based systems, whichever our customers have deployed and from there is just a flip of a button. Another way to look at it is it sort of gives you that slider that you have data protection or back up on one side, you've got disaster recovery on one side, you've got ransomware protection on on the extreme right side, you can just move a slider across and choose the service level that you want without worrying about best practices, installation, application integration. All of that just takes control from the data services, cloud concepts. >>Great, great summary because historically you would have to build that right now. You can buy it as a service. You can programmatically, you know, deploy it and that's a game changer. Have to throw it over the fence to some folks. That's okay. Now, you know, make it make it work and then they change the code and you come back a lot of finger pointing. It's now it's your responsibility. >>Absolutely. Absolutely. We're excited to provide Zito continue provides the desert of customers but also integrate with the Green Green Lake platform and let the rest of Green Lake customers experience some of the sort of technology and really make that available as a service. >>That's great. This is a huge challenge for customers. I mean they do, I pay their ransom. Do not pay the ransom. If I pay the ransom the FBI is going to come after me. But if I don't pay the ransom, I'm not gonna get the crypto key. So solutions like this are critical. You certainly see the president pushing for that. The United States government said, hey, we got to do a better job. Good job guys, Thanks for for sharing your story in the cube and congratulations. Thank >>you. Thank you David. >>All right. And thank you for watching everybody. Uh this is the, I want to tell you that everything that you're seeing today as part of the Green Lake announcement is going to be available on demand as part of the HP discover more. So you got to check that out. Thank you. You're watching the cube. >>Mhm mm.

value in jobs is probably the most rewarding >>things I've ever been involved >>in And I bring that energy to the queue because the cube is where all the ideas are and where the experts are, where the people are And I think what's most exciting about the cube is that we get to talk to people who are making things happen, entrepreneurs ceo of companies, venture capitalists, people who are really on a day in and day out basis, building great companies and the technology business is just not a lot of real time live tv coverage and and the cube is a non linear tv operation. We do everything that the T. V guys on cable don't do. We do longer interviews. We asked tougher questions. We >>ask sometimes some light questions. We talked about the person and what >>they feel about it's not prompted and scripted. It's a conversation authentic and for shows that have the cube coverage and makes the show buzz that creates excitement. More importantly, it creates great content, great digital assets that can be shared instantaneously to the world. Over 31 million people have viewed the cube and that is the result of great content, great conversations and I'm so proud to be part of a Q with great team. Hi, I'm john barrier, Thanks for watching the cube boy. >>Okay, welcome back everyone cube coverage of AWS amazon web services public sector summit in person here in Washington D. C. I'm john Kerry host of the cube with Sandy carter and Lynn martin Vm ware Vice president of government education and healthcare. Great to see you both cube alumni's although she's been on since 2014 your first time in 2018 18 2018. Great to see you. Great to see you. Thanks for coming on. Yeah, thanks for having us. So VM ware and 80 of us have a huge partnership. We've covered that announcement when Andy and Pat nelson was the Ceo. Then a lots happened, a lot of growth. A lot of success. Congratulations. Thank you. What's the big news with AWS this year in >>public sector. So we just received our authorization to operate for Fed ramp high. Um and we actually have a lot of joint roadmap planning. You are kicking off our job today with the Department of Defense and I. L five for the defense customers is also in process. So um a lot of fruits of a long time of labor. So very excited, >>awesome. So explain what does the Fed ramp authority to operate mean? What is >>that all about? So I would say in a nutshell, it's really putting a commercial offering through the security protocols to support the federal government needs. Um and there's different layers of that depending on the end user customers. So Fed ramp i across this, across all the civilian and non classified workloads in the federal government. Um probably applicability for state, local government as well with the new state Gramp focus. Um Fed ramp. I will meet or exceed that. So it will be applicable across the other parts of the government as well and all operated, you know, in a controlled environment jointly. So you get the VM ware software stack on top of the platform from A W. S and all the services that is more VM >>ware, faster deployed usage, faster acceleration. >>Yeah, so I would say um today the government operates on VM ware across all of the government, state, local and federal, um some workloads are still on prem many and this will really accelerate that transformation journey to the cloud and be able to move workloads quicker onto the BMC on AWS platform without free architect in your >>application, without giving away any kind of VM World Secret because that's next week. What is the value proposition of VM ware cloud, on AWS? What is the, what is the, what is the main value proposition you guys see in the public >>sector? So I see three and then Sandy chime in their two, I would say, you know, the costs in general to operate In the Cloud vs on prem or significant savings, we've seen savings over 300% on some customers. Um the speed on the application movement I think is a >>huge >>unique benefit on BMC on AWS. So traditionally to move to native cloud, you have to really do a lot of application were to be able to move those workloads where on BMC on AWS to move them pretty fast. And it also leverages the investments that the government agencies have already made in their operational tools and things of that nature. So it's not like a full reinvestment for something new but really leveraging both the skill sets in the data center in the I. T. Shops and the tools and investments you've bought over the past. And then the third area I would say is really getting the agility and flexibility and speed of a cloud experience. >>What's your, what's your reaction to the partnership? >>You know, we were just talking uh in a survey to our customers and 67% of them said that the velocity of the migration really matters to them. And one of the things that we do really well together is migrate very quickly, so we have workloads that we've migrated that have taken you know weeks months uh as opposed to years as they go over, which is really powerful. And then also tomorrow VM ware is with us in a session on data led migration. We were talking about data earlier and VM ware cloud on Aws also helps to migrate over like sequel server, database oracle databases so that we can also leverage that data now on the cloud to make better decisions and >>real time decisions as >>well. It's been really interesting to watch the partnership and watching VM ware transform as well, not only the migrations are in play with the public sector, there's a lot of them, believe me, healthcare, you name every area. It's all, all those old systems are out there. You know, I'm talking about out there. But now with microservices and containers, you've got tansy and you got the whole cloud, native VM ware stack emerging that's going to allow customers to re factor This is a dynamic that is kind of under reported >>Migration is one thing. But I think, I think that the whole Tan Xue portfolio is one of the most interesting things going on in VM ware. And we also have some integration going on on D. M. C on AWS with tan to we don't have that pentagram. Yeah. For the government market, but it's on the road mapping plans and we have other customers And I would say, you know, some of my non federal government customers were able to move workloads in hours, not even days or weeks. There you go, literally back and forth. And very impressive on the BMC on AWS platform. So, um, as we expand things in with the Tan Xue platform is, you know, Sandy talked about this yesterday and our partners summit, Everyone's talking about containers and things like that. VM ware is doing a lot of investment around the cooper Netease plus the application migration work and things of that nature. >>I'd love to get you guys reaction to this comment because I've seen a lot of change. Obviously we're all seeing it. I've actually interviewed a bunch of aWS and VM ware customers and I would call um some of the categories skeptics the old school cloud holding the line. And then when the pandemic hit those skeptics flip over because they see the value. In fact I actually interviewed a skeptic who became an award winner who went on the record and said I love hey w I love the cloud. I was a skeptic because you saw the value the time to value. This is really a key dynamic. I know it's kind of thrown out a lot of digital transformation or I. T. Modernization but the agility and that kind of speed. It becomes the number one thing. What's your reaction to the skeptics converting? And then what happens >>next? Um So I think there's still a lot of folks in I. T. That our tree huggers or I call him several huggers uh um pick your term. And I think that um there is some concern about what their role will be. So I think one of the differences delivering cloud services to your internal constituents is really understand the business value of the applications and what that delivers from a mission perspective back to your client. And that's a shift for data center owners to really start thinking more from the customer mission perspective than or my servers running you know, do you have enough storage capacity blah blah blah. So I think that creates that skepticism and part of that's around what's my role going to be. So in the cloud transformation of a customer, there's all this old people part that becomes really the catalyst and I think the customers that have been very sad and really leverage that and then retool the business value back to the end users around the mission have done the best job. >>I mean we talk about this all the time, it's really hard to get the best debris partners together and then make it all work cloud, it becomes easier than doing it very bespoke or waterfall way >>Yeah, I have to say with the announcement yesterday, we're going to have a lot more partner with partners. So you and I have talked about this a few times where we bring partners together to work with each other. In fact, Lynn is going to go meet with one of those partners right after the interview um that want to really focus in on a couple of particular areas to really drive this and I think, you know, part of the, you know, as your re factoring or migrating VMro over the other big benefit is skills, people have really strong, these fear skills, the sand skills, >>operation >>operation tools Yeah. And so they want to preserve those, I think that's part of the beauty of doing VM ware cloud on Aws is you get to take those skills with you into the new world as well, >>you know, I was going to just ask the next question ai ops or day two operations, a big buzzword Yeah and that is essentially operation mindset, that devoPS DEVOps two is coming. Emily Freeman gave a keynote with our last event we had with with amazon public showcase revolution and devops devoPS 2.0 is coming which is now faster, security is built in the front end, so all these things are happening so now it's coming into the public sector with the GovCloud. So I have to ask you Lynn what are some of the big successes you've had with on the gulf cloudy, just Govcloud. >>So I would say we've had a lot of customers across the state local side especially um that weren't waiting for fed ramp and those customers were able to move like I mentioned this earlier and you guys just touched on it. So I think the benefit and the benefit, one of our best customers is Emmett Right? Absolutely mitt, God bless them. They've been on every cloud journey with VM ware since 2014 we moved in my three years now and talk about a skeptic. So although Mark is very revolutionary and tries new things, he was like oh who knows and literally when we moved those workloads it was minutes and the I. T shop day one there was no transformation work for them, it was literally using all the tools and things in that environment. So the progress of that and the growth of the applications that have been able to move their things. That took 2 to 3 years before we're all done within six months and really being able to expand those business values back out for the services that he delivers to the customers. So I think you'll see quite a bit across state, local federal government. You know, we have U. S. Marshals, thank them very much. They were our sponsor that we've been working with the last few years. We have a defense customer working with us around aisle five. >>Um you know, if we could also thank Coal Fire because Cold Fire is one of our joint partners talking about partner partners and they were played a critical role in helping BM We're cloud on AWS and get the fed ramp high certifications. >>They were R three p. O. We hired them for their exercise expertise with AWS as well as helping the BMR. >>Well the partnership with the war has been a really big success. Remember the naysayers when that was announced? Um it really has worked out well for you guys. Um I do want to ask you one more thing and we don't mind. Um One of the biggest challenges that you see the blockers or challenges from agencies moving to the cloud cover cloud because you know, people are always trying to get those blockers out of the way but it's an organizational culture is a process technology. What's your what's your take on that land. Um >>I think a lot does have to do with the people and the organizational history. I think somewhere you need a leader and a champion that really wants to change for good. I call Pat, used to call a tech for good. I love that. Right to really, you know, get things moving for the customers. I mean one of the things I'm most proud about supporting the government business in general though is really the focus on the mission is unparalleled, you know, in the sectors we support, you say, education or government or healthcare. Right? All three of those sectors, there's never any doubt on what that focuses. So I think the positives of it are like, how do you get into that change around that? And that could be systems, there's less what's VMC ON AWS as we mentioned, because the tools already in the environment so they know how to use it. But I do think there's a transformation on the data center teams and really becoming moving from technology to the business aspects a little bit more around the missions and things of that. >>What's interesting is that it's so, I mean, I actually love this environment even though it's kind of hard on everyone. Education and health care have been disrupted unprecedented ways and it's never gonna change back? Remember healthcare, hip data silos, silos, education don't spend on it. >>That education was the most remarkable part. Unbelievable. I started working in february before school started with one of the large cities everyone can guess and just the way they were able to pivot so fast was amazing and I don't think anybody, I think we did like five years of transformation in six months and it's never going to go back. >>I completely a great yes education. We just did a piece of work with CTS around the world and education is one of the most disrupted as you said health care and then the third one is government and all three of those are public sector. So the three most disruptive sectors or mission areas are in public sector which has created a lot of opportunity for us and our partnership to add value. I mean that's what we're all about right customer obsession working backwards from the customer and making sure that our partnership continues to add value to those customers >>while we love the tech action on the cube. Obviously we'd like to document and pontificate and talk about it. Digital revolution. Every application now is in play globally. Not just for I. T. But for society, public sector more than ever is the hottest area on the planet. >>Absolutely. And I would say that now our customers are looking at E. S. G. Environmental, they want to know what you're doing on sustainability. They want to know what you're doing for society. We just had a bid that came in and they wanted to understand our diversity plan and then open governance. They're looking for that openness. They're not just artificial intelligence but looking at explainable AI as well. So I think that we have a chance to impact environment societies and governance >>and you mentioned space earlier. Another way I talked with closure. I mean I'm an interview today too, but what's happening with space and what you can monitor disasters, understand how to deploy resources to areas that might have challenges, earthquakes or fires or other things. All new things are happening. >>Absolutely. And all that data people like to say, why are you spending money on space? There's so many problems here, but that data that comes from space is going to impact us here on earth. And so all the things that we're doing, all that data could be used with VM ware cloud on AWS as well. >>Well, you watch closely we got some space coverage coming. I got a big scoop. I'm gonna release soon about something behind the dark side of the moon on in terms of space sovereignty coming a lot of action, cybersecurity in space. That's really heavy right now. But >>aren't you glad that VMC cloud on AWS isn't hidden on the dark side of the moon. It's >>right on the congratulations. Thanks for coming on. You guys are doing great. Thanks for >>thanks for sharing. Congratulations. >>Okay, cube coverage here continues. AWS public sector summit in Washington D. C live for two days of coverage be right back. Thank you. Mhm. Mhm mm mm hmm.

>>it is time to take a look at what piers up to from a slightly different perspective to help us do that as scott Sinclair, who is a senior analyst at the enterprise strategy group and scott, thanks for joining us here on the cube. Good to see you today. >>Great to see you >>All right. So let's let's jump into this first. We'll get to the announcement just a little bit first off. In terms of pure strategy as you've been watching this company evolve over over years now. How has it evolved? And and and then we'll move to the announcements and how that fits into the strategy. First off, let's just take them from your point of view. Where have they been and how are they doing? >>Yeah. You know, you know many people know a pure, maybe they don't know of their history is an all flash array. I think Pure has always been ever since they entered the I. T. Industry as as a pioneer. They're one of the early ones that said look we're going all in on the all flash array business and a focus on flash technology. Then there were early pioneers and things like evergreen and things like storage as a service capabilities for on premises storage and the entire time they've had a really you know almost streamlined focus on ease of use, which you know from the outside. I think everyone talks about ease of use and making things simple for I. T. But Pure has really made that almost like core as part of not only their product and they're designed but also part of their culture and one of the things and we'll get into this a little bit as we talk about the announcements but you know if you look at these announcements of where Pure is going there trying to expand that culture that DNA around ease of use or simplicity and expanding it beyond just storage or I. T. Operations and really trying to see okay how do we make the entire digital initiative process or the larger I. T. Operations journey simpler. And I think that's part of where pure is going is not just storage but focusing more on operations and data and making it easier for the entire experience. >>So so how do the announcements we're talking about uh whether three phases here and again we'll unpack those separately but just in general how did the announcements and you think fit into that strategy and fit into their view and your view really of of the market trends. >>You know I think one of the big trends is you know I. T. In terms for most businesses is it's not just an enabler anymore. It is actually in the driver's seat. Uh You know we see in our research at TsG we just did this study and I'm going to glance over my notes as I'm kind of talking but we see one of the things is more than half of businesses are identifying some portion of the revenue is coming from digital products for digital services. So data is part of the revenue chain for a majority of organizations according to what we're seeing in our research and so what that does is it puts I. T. Right in that core you know that core delivery model of where the faster I can operate the faster organizations can realize these revenue opportunities. So what what is that doing to tighty organizations? Well first off it makes your life a lot harder. It makes demands continue to increase. But also this old this old adage or this old narrative that I thi is about availability it's about resiliency, it's about keeping the lights on and ensuring that the business doesn't go down. Well none of that goes away but now I. T. Organizations are being measured on their ability to accelerate operations and in this world where everything is becoming more and more complex they're more demands, organizations are becoming more distributed. Application demands are becoming more diverse and they're growing and breath all of this means that more pressure is falling not only on the I. T. Operations but also on the instructor providers like pure storage to step up and make things even simpler with things like automation and supplication which again we're going to talk about but to help accelerate those operations. >>Yeah I mean if your devops these days I mean and you're talking about kind of these quandaries that people are in. Um but I mean what are what are these specific challenges do you think? I mean on the enterprise level here that that that pure is addressing? >>Yeah well so for example you talked about developers and you know dr going into you know that in particular I want to say let's say you know glancing my notes here, about two thirds of organizations say they're they're under pressure to accelerate their I. T. Initiatives due to pressures from specifically from devops teams as well as line of business teams. So what does that mean? It means that as organizations build up and try to accelerate either their revenue creation via the creation of software or products or things that that drive that support a devops team maybe it's improving customer experience for example as well as other line of business teams such as analytics and and trying to provide better insights and better decision making off of data. What that means is this traditional process of I. T. Operations of where you submit a trouble ticket and then it takes you know after a few days something happens. And they started doing analysis in terms of basically what ends up being multiple days or multiple weeks to end up to basically provision storage just takes too long. And so in these announcements what we're seeing is pure delivering solutions that are all about automating the back end services and delivering storage in a way that is designed to be easily and quickly consumed by the new consumers of I. T. The developers the line of business teams via a. P. S. Where you can write to a standard api and it goes across basically lots of different technologies and happens very quickly where a lot of the back end processes are automated and essentially making the storage invisible uh to these to these new consumers and all of that just delivers value because what what these groups are doing is now they can access that get the resources that they need and they don't have to know about what's happening behind the scenes which candidly they don't really know much about right now and they don't really care >>right. You know what I what I don't see what I don't know won't hurt me. Exactly and as we know it can. Um All right so let's let's look at the announcements Pure fusion. Um I think we're hearing about that just a little bit before earlier in the interview that day was conducting. But let's talk about pure fusion and your thoughts on that. >>Yeah confusion is what I was talking about a little bit where they're they're abstracting a lot of the storage capabilities and presenting it as an A P. I a consistent api that allows developers to provision things very quickly and where a lot of the back end services are automated and you know essentially invisible to developer and that is I mean it's it addresses where you know I kind of talked about this with some of the data that we just you know, some of our research stats that we just discussed but it's where a lot of organizations are going. The bottom line is you know we used to you know in a world where it services weren't growing as fast and where everything had to be resilient available, you could put a lot of personnel power or personal hours focused on okay, making sure every box and everything was checked prior to doing a new implementation and all that was designed to reduce risk and possibly optimize the environment, reduced costs. Now in this world of acceleration, what we've seen is organizations um need faster responsiveness from their I. T. Organizations. Well that's all well and good. But the problem is it's difficult to do all those back end processes and make sure that data is fully being protected or making sure that everything is happening behind the scenes the way it should be. And so this is again just mounting more and more pressure so with things like pure fusion, what they're doing is they're essentially automating a lot of that on the back end and really simplifying it and making so storage or I. T. Administrators can provide access to um to their line of business to development teams to leverage infrastructure a lot faster while still ensuring that that all those back end services, all those operations still happen. >>Port works, data services also announced and hearing from Dave from that perspective, maybe a game changer in terms of storage. So your take on that import works. >>I really liked what works. I've been following them ever since prior to the acquisition. Um, you know, one of the things that they were very early on is understanding the impact of microservices on the industry and really the importance of designing infrastructure around for that for that environment. I think what they're doing around data services is really intriguing. I think it's really intriguing first off for Pure as a company because it elevates their visibility to a new audience in the new persona that may not have been familiar with them. Right? As organizations are looking at one of the things that they're doing with this um, with this data services is essentially delivering a database as a service platform where you can go provision, you know, and stand up databases very quickly and again, similar to, we talked about fusion a lot of those back end processes are automated um really fascinating, again aligns directly with this acceleration need that we talked about, so, you know, huge value but it's really fascinating for Pure because it opens them up to, you know, hey, there's this whole new world of possible consumers that where there's, you know, that where they can get experience to really the ease of use of Pure is known for a lot of the capability. Support works is known for, but also just, you know, increase, you know, really the value that pure is able to deliver to some of these modern enterprises >>and just did briefly on the enhancements to Pure one also being announced today. Your take on those >>um you know, I like that as well. I think one of the things if I kind of go through the through the list is a lot of insights and intelligence in terms of uh new app, you know, sizing applications for the environment if I remember correctly um and more, you know, better capabilities to help ensure that your environment is optimized, which candidly is a is a top challenge around the organizations we talked about again, I keep hitting on this need to move faster faster, faster. One of the big disconnect what we've seen and we saw it very early when organizations were moving to for example public cloud services is this disconnect towards for this individual app. How many resources do I really need? And I think that's something that you know, vendors like Pure need to start integrating more and more intelligence and that's what my understanding is they're doing with Pure One, which is really impressive. >>Well, solid takes scott, we appreciate the time, thank you for your insights and what has been a big day for pure storage but thank you again for the time scott some clarity and her enterprise strategy group senior analyst there, let's go back to day Volonte now with more on the cube. >>Thanks for watching this cube program made possible by pure storage? I want to say in summary. You know, sometimes it's hard to squint through all the vendor noise on cloud and as a service and all the buzz words and acronyms in the market place. But as we said at the top, the cloud is changing. It's evolving, it's expanding to new locations. The operating model is increasingly defining the cloud. There's so much opportunity to build value on top of the massive infrastructure build out from the hyper scale is $200 billion dollars in Capex last year alone. This is not just true for technology vendors but organizations are building their own layer to take advantage of the cloud? Now of course technology is critical. So when you're evaluating technology solutions, look for the following first the ability of the solution to simplify your life. Can it abstract the underlying complexity of a cloud multiple clouds connect to on prem workloads in an experience that is substantially identical irrespective of location. Does the solution leverage cloud native technologies and innovations and primitives and a P. I. S. Or is it just a hosted stack? That's really not on the latest technology curve whether that's processor technology or virtualization or machine learning streaming? Open source tech et cetera. 3rd, How Programmable is the infrastructure? Does it make developers more productive? Does it accelerate time to value? Does it minimize rework and increase the quality of your output for? What's the business impact? Will customers stand up and talk about the solution and how it contributed to their digital transformation? By flexibly supporting emerging emerging data intensive workloads and evolving as their business rapidly changed. These are some of the important markers that we would suggest you monitor pure is obviously driving hard to optimize these and other areas. So watch closely and make your own assessment as to how what they and others are building will fit into your business Now as always, this content is available on demand at the cube dot net. So definitely check that out. This is day Volonte for jOHN walls and the entire cube team. Thanks for watching everybody. We'll see you next time.

>>Welcome to the AWS Startup. Showcase new breakthroughs in devops, did analytics and cloud management tools. I'm lisa martin, I've got Jordan share here with the next vice president of corporate marketing Ops ramp, Jordan welcome to the program >>lisa It's great to be here. Great to talk about some of the stuff. Thanks for having me. >>Yeah let's break this down. Tell me, first of all about Ops ramp, how is it facilitating the transformation of I. T. Ops helping companies as your website says control the chaos. >>Sure. So option is an availability platform for the modern enterprise. We consolidate digital I. T. Operations management into one place. So availability as you can imagine um is a consistent challenge for I. T. Operations teams in large enterprises maintaining service assurance, making sure that services are up available, performing uh Ops tramp is the platform that powers all of that and we bring a lot of different features and functions to bear in driving availability. I think about ai ops I think about hybrid infrastructure monitoring, multi cloud monitoring, that's all part of the options offering. Modern enterprise. >>Talk to me about back in 2014 what the founders saw of Ops ramps, what were some of the gaps in the market that they saw that this needs to be addressed and no one's >>doing? It's a great question. So abstract was originally founded as part of an MSP offering. So we were a platform serving managed service providers who wanted to consolidate the infrastructure of their clients onto one multi tenant platform. What they noticed was that these enterprise customers of the MSP s whom we served. Really appreciated that promise of being able to consolidate infrastructure, being able to visualize different alerts, different critical incidents that might arise all on one platform. And so that's when we decided to raise around and take it directly to the enterprise so they could have the same kind of visibility and control that MSP s were delivering back to them, >>Visibility and control is essential, especially if your objective is to help control the chaos. Talk to me about some of the trends that you've seen, especially in the last 18 months, as we've been in such a dynamic market, we've seen the rapid acceleration of digital business transformation. What are some of those key trends especially with respect to a I ops that you think are really poignant. >>Yeah. You know, we like to think over here that the pandemic didn't really change a whole lot, accelerated a whole lot. And so we started to see at least within the past 12 to 18 months this acceleration of moving to the cloud, you know, Gardner forecasted that I thi enterprises, large enterprises are going to be spending upwards of 300 billion um in the move to the public cloud. So that has really facilitated some of the decisions that we have made and the promises that we offer to our customers, number one, Number two, with the move to remote work and the adoption of a lot of different digital tools and uh the creation and implementation of a lot of different digital customer services. Um It has forced these enterprises whom we serve to really rethink how they provide flexibility and control to their larger enterprise. I. T. Teams that might be distributed might be working remote might be in different locations. How can they consolidate infrastructure as it gets more and more complex. So that's where ops tramp has really created the most value. So we think about two things. Number one I want to consolidate my multi cloud environments so services via AWS for example or other cloud providers. How do I bring that within? How do I bring that control within my enterprise within the context of maybe additional private cloud offerings or public cloud infrastructure. Number one. Number two how do I get control over the constant flood of alerts but I'm getting from these different digital services and tools all in one place. Um you know so we are responding to that need by for example uh implementing a really rich robust ai ops functionality within the train platform to both be able to consolidate those alerts that are coming through and really escalate the critical ones um for to allow I. T. Operations seems to be a little bit more proactive and understand how incidents are happening and giving them the ability to remediate those incidents become before they become business critical and can really shut down the internet. >>Speaking of the enterprise. I'm curious if your customer conversations have changed in level in the last 18 months as everything has become chaotic for quite a while. We're still in we've been in a hybrid cloud world for a while. We are in a hybrid workforce situation. Have you noticed an escalation up the stack in terms of the c suite of going we need to make sure that we're leveraging cloud properly financially responsibly and ensuring that we have this ability and all the services that we're delivering. >>You mean are they sweating more And are they coming to us when they're sweating more? Yeah. Yeah for sure. The short answer is yes. So let me give you a great example. Um One of our recent customers they manufacture chips microchips and what they've noticed is that number one demand has grown um due to the increase in digital transformation. Um Number two supply chains have become more constricted for them specifically so they're asking themselves. All right how can we equip our I. T. Operations teams to maintain the availability of different logistics services within our organization So that they can both maintain service availability of these different logistic logistic services um and be able to stay on deadline as much as they possibly can um during a supply chain crisis that we're facing right now. And number two how can we as we move to the cloud and we see a distribution of our workforce still be able to maintain I. T. Operation services regardless. Um That is a need in particular in particular the supply chain um constraint issue. Uh That is a need that has arisen only in the last 18 months and it is a perfect use case for ops ramp or a platform that allows you to consolidate I. T. Operations to one place and give flexibility control across a distributed environment with a number of different new digital services that have been implemented. To solve some of these challenges. >>Talk to me about Ai ops as a facilitator of that availability visibility in this hybrid world that is still somewhat chaotic. >>Yeah great question. So originally it was al gore algorithmic operations is coined by Gardner today it's artificial intelligence in its operations. So the notion there is simple right there's a lot of data coming in on throughout the I. T. Operations organization. How can we look for patterns within that data to help us understand and act more proactively. Um From an operational perspective well there are a lot of promises uh that go along with A. I. Ops that it's going to completely transform these I. T. Organizations that it's going to reduce headcount. Um We don't necessarily find that to be true. What we do find true though is that the original promise behind a IOP still exists right we need to look for patterns in the data and we need to be able to drive insights from those patterns so that is what the Ai ops feature functionality within abstract really does. It looks for patterns within alerts and helps you understand what these patterns ultimately mean. Let me give you a great example so we have different algorithms within the train platform for co occurring events or for downstream events that help us indicate, okay if a number of these events are happening across one geography or one um business service for example we can actually look for those co occurring patterns and we can see that there may be one resource or set of resources that is actually causing a bunch of these incidents for a bunch of these alerts upstream of all the actual alerts themselves. So instead of the ICTy Operations organization having to go in and remediate a bunch of different distributed alerts, they can actually look at that upstream alert and say okay that's the one that really matters, that's where I need to pay most of my attention to. Um and that's where I'm going to deploy a team or open up a ticket or escalate to I. T. S. M. Or a variety of different things because I know that these co occurring alerts are creating a pattern that's driving some insight. Um so that's just part of the overall Ops tramp Ai Ops um promise or uh you know there's there's tons more that goes along with the biopsy but we really want to take some of the load and reduce some of the alerts that these icy operations teams are having to deal with on a daily basis. >>So let's talk about how you do that from a practical perspective, is looking at some of the notes that your team provided and according to I. D. C. This was a report from asia pacific excluding Japan that 75% of global two K enterprises are going to adopt a I Ai Ops by 2023 but a lot of Ai ops projects have been built on and haven't been successful. How does abstract help change flip the script on that? >>So it really comes down to the quality of the data right? If you have a bolt on tool, you have to optimize that tool for the different data lakes or data warehouses or sources of data that exists within your operational organization. I think about multi cloud apps across the multiplied environment. So I have to optimize the data that is coming in from each of those different cloud providers onto a bolt on tool to make sure that the data that's being fed to the tool is accurate and it is a true reflection of what's going on in the operational organization. That's number one. If you look at ops tramp and the differentiation there. Um op tramp is a big data platform at its core. So you bring ops tramp in, you optimize it for your overall infrastructure mix and then the data that gets fed into the ai ops feature functionality is the same across the board. There is no further optimization. So what that means is that the insights that are being driven by the outside perhaps platform are more sophisticated, they're more nuanced, there are more accurate representation and they're probably driving ultimately better insights than sticking a tool on top of five different existing data warehouses or data lakes. >>So if you've got a customer and I'm sure that you do enterprises, as we said, going to be adopting this substantially by 2023 which is just around the corner, how do you help them sort through the infrastructure and the ecosystem that they have so that they're not bolting things on but rather they can actually really build this very intuitively to deliver that availability and the visibility that they need fast. >>Yeah, so a couple of different comments on that ways that we try to help. Number one, I think it's critical for us to understand the challenges of the modern I. T. Infrastructure environment, across different verticals, different industries. So when we walk into any of our clients, we already have a good mix of their challenges. Is it Iot? Are they dealing with a bunch of different devices at the edge, are they, you know, a telecom with uh critical incidents is incidents in the network that they need to remediate. Um Number two, we try to smooth the glide path into understanding the obscene ramp platform and promise early. So what does that mean? It means we offer a free trial of the platform itself at tried out abstract dot com, you can set up up to 1000 resources for free with an unlimited number of users for 14 days and kick the tires particularly in multi cloud monitoring and see what sorts of insights you can determine um, just within those two weeks and in fact we're, we put our cards on the table and we say you can probably see your first insights into your infrastructure within 20 minutes of setting up the abstract free trial um, and if you don't want to bring your resources, your own resources to it will even provide a collection of resources preloaded onto the platform so you can try it out yourself without having to get, you know, a bunch of approvals to load infrastructure in there. So two pieces, number one, it's this proof of concept proof of value where we try to understand the clients pain and number two, if you want to kick the tires on it yourself, we can offer that with this free trial offering. >>So what I'm hearing and that is fast time to value which in these days is absolutely essential. How does that differentiate ops ramp as a technology company and >>from your customer's perspective? Yeah, so I appreciate that. And the meantime to incite is one of the critical aspects of our product roadmap, we really want to drive down that time to value coefficient because it's what these operations teams need as complexity grows really if you take a step back right, everything is getting more complex. So it's not only the pandemic and the rise of multi cloud but it's more digital customer experience is to compete. It's the availability, it's the need of a modern enterprise to be agile. All of those things translate basically into speed and flexibility and agility. So if there's one guiding light of ops tram it's really to equip the operations team with the tools that they need to move flexibly with the business. There is a department in any modern enterprise today if they need access to the public cloud and they have a credit card they're getting on AWS right now and they are spinning up a host of services. We want to be the platform that still gives the central IT operations team some aspect of control over that with the ability with without taking away the ability of that you know siloed operations team somewhere in some geo geographic region. We want to empower them to be able to spend up that AWS service but at the same time we want to just know that exists and be able to control it. >>How can A I A facilitator of better alignment between I. T. Tops and the business as you just gave a great example of the business getting the credit card spending up services that they need for their line of business or their function and then from a cultural perspective I'm just curious how can A. I. R. S. B. A facilitator of those two groups working better together in a constantly complex environment. >>That's a great question. So imagine if I. T. Operations did more than just keep the lights on. Imagine if you knew that your I. T. Operations team could be more proactive and more productive about alerts incidents and insights from infrastructure monitoring. What that means is that you are free to create any kind of digital customer experience that you would want to drive value back to your end user. It means that no longer do you think about it? Operations is this big hodgepodge of technology that you have to spend you know hundreds of millions of dollars a year in network operations teams and centers and technologies just to keep control of right by consolidating everything down to one place one sas based platform like this it frees up the business to be able to innovate. Um You know take advantage of new technologies that come around and really to work flexibly with the needs of the business as it grows. That's the promise of a tramp. We're here to replace you know these old appliances or different management packs of tools that exists that you consistently have to add an optimized and tune to feel to to empower the operations team to act like that. Um The truth is that is that everything is SAT space now, everything is status based and when you get to the core of infrastructure, it needs to be managed to be a SAs and thats ops ramp in a nutshell, >>I like that nutshell, that's excellent. I want to know a little bit about your go to market with a W. S. Talk to me a little bit about the partnership there and where can what's your go to market like? Essentially, >>yeah, so were included in the AWS marketplace, we have an integration with a W. S um as the de facto biggest cloud provider in the world. We have to play nice with them. Um and obviously the insights that we drive on the option platform have to be insights that you need from your AWS experience. You know, it has to be similar to cloudwatch or in a lot of, in a lot of cases um it has to be as rich as the cloudwatch experience in order for you to want to use op tramp within the context of the different other multi cloud providers, so that's how abstract works. Um you know, we understand that there's a lot of AWS certified professionals who work with who work at Ops tramp, who understand what AWS is doing and who consistently introduce new features that play well with the service is the service library that AWS currently offers today. >>Got it as we look ahead to 2022 hopefully a better year than 2020 and 2021. What are some of the things that you're excited about? What are some of the things on the ops ramp road map that you can share with us? >>Yeah, so you know, the other, the other big aspect of uh the new landscape of IT operations is observe ability. We're really excited about observe ability, we think that it is the new landscape of monitoring um you know, the idea of being able to find unknown unknowns that exists within your operational stack is important to us to be able to consolidate that with the power of ai ops so that you now have machine learning on top of your ability to find unknown unknown issues. That's that's going to be super exciting for us. I know the product team is taking a hard look at how to drive hybrid, observe ability within the abstract platform. So how do we give a better operational perspective to on prem public cloud and private cloud infrastructure moving forward and how do we ingest alerts before they're even alerts? I mean that's observe ability in a nutshell, if I'm getting in and I'm checking the option platform every day, then that's a workflow that we can remove by creating a better observe ability posture within the train platform. So now the platform is going to run unsupervised right in the background um and ai apps is going to be able to take action on predictive incidents before they ever occur, that's what we're looking at in the future. You know, everything is getting more complex. We've heard this story a million times before, we want to be the platform that can handle that complexity on a massive scale, >>finding the unknown, unknowns, converting them into knowns I imagine is going to be more and more critical across every industry. Last question for you, given the culture and the dynamics of the market that we're in, are there any industries and all of trump's is seeing is really key targets for this type of technology. >>The nice thing about ops tramp is we are we are really vertical neutral, right? Any industry that has complexity and that's every industry can really take advantage of a platform like this. We have seen recent success particularly in finance manufacturing, health care because they deal with new emerging types of complexity that they are not necessarily cared for. So I think about some of our clients, some of our friends in the finance industry, you know, um as transactions accelerate as new customer experiences arise uh these are things that their operations teams need to be equipped for and that's where up tramp really drives value. What's more is that these uh these industries are also somewhat legacy, so they have a foot in the old way of doing things, they have a foot in the data center, you know, there are many financial institutions that have large data center footprint for security considerations. And so if they are living in the data center and they want to make the move to cloud, then they need something like cops ramp to be able to keep a foot in both sides of the equation, >>right, Keep that availability and that visibility. Jordan, thank you for joining me today and talking to us about ops around the capabilities that Ai ops can deliver to enterprises in any industry. The facilitation of of the I. T. Folks in the business folks and what you guys are doing with AWS, we appreciate your time. >>Absolutely lisa, thank you very much. Thanks for the great questions. If you ever need a job in corporate marketing, you seem like you're a natural fit. I'll >>call you awesome. >>Thank you >>for Jordan share. I'm lisa martin, You're watching the AWS startup showcase.

>>from the cube studios in Palo alto >>in boston >>connecting with thought leaders all around the >>world. This >>is a cute conversation. Hello and welcome to today's session of the AWS Global Public sector Partner Awards. I'm your host Natalie ehrlich. Today we're going to focus on the following award for best partner transformation. I'm pleased to introduce our guests, josh door smith, vice president of public sector at Effectual and jeremy Yates, deputy technology architect at jenny May. Welcome gentlemen so glad to have you on our show. >>Hi there. Very nice to be here. Thank you so much for having me >>terrific. Well josh, I'd like to start with you. How can companies leverage cloud native solutions to deliver higher quality services? >>So Natalie, that's a great question. And in the public sector and our our government customers, we run into this all the time. It's kind of our bread and butter. What what they can do is the first thing they need to be aware of is you don't have to be afraid of the cloud as some very obscure technology that is just emerging. It's been out for 10, 11 years now, customers across government space are using it lock stock and barrel to do everything from just managing simple applications, simple websites all the way through hosting their entire infrastructure, both in production and for disaster recovery purposes as well. So the first thing to note is just don't be afraid of the cloud. Um secondly, it's, it's imperative that they select the right partner who is able to kind of be there Sherpa to go into however far they want to dip their toe into the, into the proverbial cloud waters. Um to select somebody who knows whatever it is that they need to go do. So if they want to go Aws as we are talking about today, pick a partner who has the right experience, past performance designations and competencies with the cloud that they're interested in. >>Terrific. Well, you know, Jeremy, I'd love to move to you. What does modern modernization mean to jenny May? >>Sure, Thanks Natalie, great to be here. Thanks josh as well, you know. So for jenny May, modernization is really, it's not just technology is holistic across the organization. So that includes things like the business, um not just you know, the the I. T. Division. So we're looking at the various things to modernize like our culture and structural changes within the organization. Um moving to implement some, some proven practices like def sec ops and continuous integration and continuous delivery or deployment. Uh and then, you know, our overall overarching goal is to give the best and most secure technology to the business that we can to meet the Jeannie Mai mission and the needs of our customers >>terrific. Well josh, how is Effectual planning to support jenny Maes modernization plans? >>So we have been supporting jenny May for about 14 months now. Uh and back in september of last year, we rewarded a co prime 10 year contract for Jeannie Mai to do exactly that. It's to provide all things cloud to Jeannie Mai for 10 years on AWS and that's including reselling AWS. That's including providing all sorts of professional services to them. And it's, it's providing some third party software applications to help them support their applications themselves. So what Effectual is doing is kind of a threefold. We are supporting the modernization of their process, which jeremy mentioned a moment ago and that includes in stan shih ating a cloud center of Excellence for jenny May, which enables them to modernize the way they do cloud governance while they're modernizing their technology stack. We're also providing a very expert team of cloud architects and Dempsey cops engineers to be able to, to design the Jeannie Mai environment, collaborating with our co prime uh to ensure that it meets the security requirements, the compliance requirements that jerry mentions. Uh, Jeannie Mai is a federal entity, but it also has to adhere to all the finance industry uh compliance requirements as well. So very strenuous from that perspective. And then the third thing that we're doing to help them kind of along their modernization journey is in stan shih aging infrastructure as code. So in the cloud, rather than building everything in the AWS management console, we script everything to build it automatically, so it improves consistency, it improves the customer experience regardless of which resource is working on it. And it improves disaster recovery capability as well. And also, just quite frankly, the speed by which they can actually deploy things. >>And jeremy, how is this transition helping your security really enhancing it now? >>Uh From a security perspective we're implementing a number of various tools um both, you know, a W. S based as well as other software that josh mentioned. Um So we're able to utilize those in a more scalable manner than we could previously in the traditional data center. Um we've got a number of things such as we're looking at multiple vulnerability management products like 10 of Ohio and Wallace. Um we're using uh tools such as Centra fi for our our pam or privileged access management capabilities. Um Splunk a pretty industry standard. Um software for log and data correlation and analysis um will also be using that for some system and application monitoring. Um as well as uh the Mcafee envision product for endpoint and other cloud service security. So being able to pull all those in in a more scalable and more cost efficient way as well from cloud based services. Uh, it's really helped us be able to get those services and integrate them together in a way that, you know, we may not previously been able to. >>Yeah, terrific. Well, josh, let's move back to you and talk further about compliance. You know, any insight here, how Effectual is building a modern cloud infrastructure to integrate AWS services with third party tools to really achieve compliance with the government requirements. Just any further insight on that >>front? That's a great question. Natalie and I'm gonna tag team with Jeremy on this one if you don't mind, but I'll start off so jenny may obviously I mentioned earlier has federal requirements and financial requirements so focused right now on on those federal aspects. Um, so the tools that Jeremy mentioned a moment ago, we are integrating all of them with a W. S native meaning all of the way we do log aggregation in the various tools within AWS cloudwatch cloud trail. All of those things were implementing an AWS native, integrating them with Splunk to aggregate all of that information. But then one of the key requirements that's coming up with the federal government in the very near future is tick three dot or trusted internet connection. Basically in the first iteration a decade or so ago, the government wanted to limit the amount of points of presence that they have with the public facing internet fast forward several versions to today and they're pushing that that onus back on the various entities like jenny May and like hud, which Jeannie Mai is a part of but they still want to have that kind of central log repository to where all of the, all of the security logs and vulnerability logs and things like that. Get shipped to a central repository and that will be part of DHS. So what effectual has done in partnership with jenny May is create a, a W. S native solution leveraging some of those third party tools that we mentioned earlier to get all of those logs aggregated in a central repository for Ginny MaE to inspect ingest and take action from. But then also provide the mechanism to send that to DHS to do that and correlate that information with everything coming in from feeds across the government. Now that's not required just yet. But we're future proofing jenny Maes infrastructure in order to be able to facilitate adherence to those requirements when it becomes uh required. Um, and so jeremy, I'll pass it over to you to talk a little bit further about that because I know that's one of the things that's near and dear to your sister's heart as well as jenny may overall. >>Yeah, absolutely. Thanks josh. Um, so yeah, we, as you mentioned, we have implemented um, uh, sort of a hybrid tech model right now, um, to to handle compliance on that front. Um, so we're still using a, you know, some services from the legacy or our existing T two dot x models. That that josh was mentioning things such as m tips, um, uh, the Einstein sensors, etcetera. But we're also implementing that take 30 architecture on our own. As josh mentioned that that will allow us to sort of future proof and and seamlessly really transitioned to once we make that decision or guidance comes out or, you know, mandates or such. Um, so that effort is good to future proof house from a compliance perspective. Um, also, you know, the tools that I mentioned, uh, josh reiterated, those are extremely important to our our security and compliance right. Being able to ensure, you know, the integrity and the confidentiality of of our systems and our data is extremely important. Not both, not just both on the r not only on the government side, but as josh mentioned, the finance side as well. >>Terrific. Well, I'd love to get your insight to on AWS workspaces. Um, if either one of you would like to jump in on this question, how did they empower the jenny May team to work remotely through this pandemic? >>That's a great question. I guess I'll start and then we'll throw it to jeremy. Um, so obviously uh effectual started working with jenny May about three weeks after the pandemic formally started. So perfect timing for any new technology initiative. But anyway, we, we started talking with Jeremy and with his leadership team about what is required to actually facilitate and enable our team as well as the government resources and the other contractors working for jenny May to be able to leverage the new cloud environment that we were building and the very obvious solution was to implement a virtual desktop infrastructure uh type solution. And obviously Jeannie Mai had gone all in on amazon web services, so it became the national natural fit to look first at AWS workspaces. Um, so we have implemented that solution. There are now hundreds of jenny May and jenny make contractor resources that have a WS workspaces functioning in the GovCloud regions today and that's a very novel approach to how to facilitate and enable not only our team who is actually configuring the infrastructure, but all the application developers, the security folks and the leadership on the jenny may side to be able to access, review, inspect, check log etcetera, through this remote capability. It's interesting to note that Jeannie Mai has been entirely remote since the pandemic initiated. Jeremy's coming to us from, from west Virginia today, I'm coming to us from national harbor Maryland And we are operating totally remotely with a team of 60 folks about supporting this specific initiative for the cloud, not to mention the hundreds that are supporting the applications that Jamie runs to do its day to day business. So jeremy, if you wouldn't mind talking about that day to day business that jenny may has and, and kind of what the, the mission statement of Jeannie Mai is and how us enabling these workspaces uh facilitates that mission >>or you know, so the part of the overall mission of jenny Maes to, to ensure affordable housing is, is made available to uh, the american public. Um that's hud and, and jenny may as part of that and we provide um mortgage backed securities to help enable that. Um, so we back a lot of V A. Loans, um, F H A, those sort of loans, um, workspaces has been great in that manner from a technology perspective, I think because as you mentioned, josh, it's really eliminated the need for on premise infrastructure, right? We can be geographically dispersed, We can be mobile, um, whether we're from the east coast or west coast, we can access our environment securely. Uh, and then we can, you know, administer and operate and maintain the technology that the business needs to, to fulfill the mission. Um, and because we're able to do that quickly and securely and effectively, that's really helpful for the business >>Terrific. And um, you know, I'd like to shift gears a bit and uh you know, discuss what you're looking ahead toward. What is your vision for 2021? How do you see this partnership evolving? >>Yeah, you >>Take that 1/1. >>Sure. Yeah. Um you know, definitely some of the things we look forward to in 2021 as we evolve here is we're going to continue our cloud journey um you know, through practices like Deb said cops, you realize that uh that journey has never done. It's always a continual improvement process. It's a loop to continually work towards um a few specific things or at least one specific thing that we're looking forward to in the future, as josh mentioned earlier was our arctic three Oh Initiative. Um, so with that we think will be future proofed. Um as there's been a lot of um a lot of recent cyber security activity and things like that, that's going to create um opportunities I think for the government and Jeannie Mai is really looking forward to to leading in that area. >>Mhm and josh, can you weigh in quickly on that? >>Absolutely. Uh First and foremost we're very much looking forward to receiving authority to operate with our production environment. We have been preparing for that for this last year plus. Uh but later on this summer we will achieve that 80 oh status. And we look forward to starting to migrate the applications into production for jenny May. And then for future proof, it's as jerry jerry mentioned, it's a journey and we're looking forward to cloud optimizing all of their applications to ensure that they're spending the right money in the right places uh and and ensuring that they're not spending over on any of the one given area. So we're very excited to optimize and then see what the technology that we're being able to provide to them will bring to them from an idea and a conceptual future for jenny may. >>Well thank you both so very much for your insights. It's been a really fantastic interview. Our guests josh duggar smith as well as jeremy Gates. Really appreciate it. >>Thank you very much. >>Thank you so much. >>Terrific. Well, I'm your host for the cube Natalie or like to stay tuned for more coverage. Thanks so much for watching.