 Live from Las Vegas, it's theCUBE! Covering AWS re-invent 2019. Brought to you by Amazon Web Services and Intel, along with its ecosystem partners. Welcome back to the eighth year of AWS re-invent, it's 2019. There's over 60,000 in attendance, seventh year of theCUBE, wall-to-wall coverage, covering all the angles of this broad and massively growing ecosystem. I am Stu Miniman, my co-host is Justin Warren, and one of our CUBE alumni are back on the program. Remine Sayer, who is the president and CEO of Sumo Logic, booth always at the front of the expo hall. I think anybody that's come to this show has one of the Sumo, you know, Squishfiles there. I remember a number of years you actually had live Sumos at the event. So, you know, bring us the sixth year you've been at this show. Give us a little bit of the vibe and your experience so far. Yeah, I mean, naturally when you've been here so many times, it's interesting to be back not only as a practitioner who's attended this many years ago, but now as a partner of AWS and seeing not only our own community growth in terms of Sumo Logic, but also the community in general that we're here to see. You know, it's a good mix of practitioners and business folks from dev ops to security and much, much more. And as we were talking about before the show, the vendors here are so different now than it was three years ago, let alone six years ago. So it's nice to see. All right, a lot of news from Amazon. Anything specific jump out from you from their side? Or I know Sumo Logic also has had some announcements this week. Yeah, I mean, like true to Amazon, there's always a lot of announcements. And, you know, what we see is customers need time to understand and digest that. There's a lot of confusion. But, you know, selfishly speaking from the Sumo side, you know, we continue to be a strong AWS partner. We announced another set of services along with AWS at this event. We got some new competencies for container because that's a big aspect of what customers are doing today with microservices. And obviously we announced some new capabilities around our security intelligence capabilities, specifically for cloud trail, because that's becoming a really important aspect of a lot of customers maturation of cloud and also operating in the cloud in this new world. So to walk us through what customers are using cloud trail to do and how the Sumo Logic connection to cloud trail actually helps them with what they're trying to do. Well, first and foremost, it's important to understand what Sumo does and then the context of cloud trail and other services. You know, we started roughly a decade ago with AWS and we built an intelligence platform on top of AWS that allows us to deal with the vast amount of unstructured data in specific use cases. So one very common use case, very applicable to the users here is around the DevOps teams. And so the DevOps teams are having a much more complicated and difficult time today understanding, ascertaining where problems reside and how to go troubleshoot those. It's not just about a siloed monitoring tool. That's just not enough. It doesn't provide the analytics of intelligence. It's about understanding all the data from cloud trail, from EC2, and non-AWS services so you can appropriately understand these new modern apps that are dependent on these microservices and architectures and what's really causing the performance issue, the availability issue, and God forbid, a security or breach issue. And that's the unique thing that Sumo provides unlike others here. Yeah, I believe you've actually extended the Sumo support beyond cloud trail and into some of the Kubernetes services that Amazon offers, like AKS. And you also believe it's ASC file-in support? Yeah, so that's just a continuation of a lot of the stuff we've done with respect to our analytics platform. And we introduced some things earlier this year at Reinforce with AWS as well. So for our VPC flow logs and the like and this is a continuation now for cloud trail. And really what it helps our customers and end users do is better and more proactively be able to detect potential issues, respond to those security issues and more importantly, automate the resolution process. And that's what's really keen for our users because they're inundated with false positives all the time whether it's on the ops side, let alone the security side. So Sumo Logic is very unique back to our value prop of providing a horizontal platform across all these different use cases. One being ops, two being cybersecurity threat, and three being blind to business users who are trying to understand what their own users on their digital apps are doing with their services and how to better deliver value. Automation is so important when you've got this, the scope and scale of cloud and the pace of innovation that's happening with all the technology that's around us here at the show. So the automation side of things, I think it's a little bit underappreciated this year. We're talking about transformation and we're talking about AI and ML. I think what the automation piece is one thing that's a little bit underestimated from this year's show. What do you think about that? Yeah, I mean, our philosophy all along has been we can't automate without AI and ML. And it's proven fact that by next year, the machine data growth is going to be 16 zettabytes. By 2025, it's going to be 75 zettabytes of data. Okay, well that's really impressive in terms of volume of data. The challenge is the tsunami of data that's being generated is how to go decipher what's an important aspect and what's not an important aspect. So you first have to understand from the streaming data services how to be able to dynamically and schema on read be able to analyze that data and then be able to put in context to those use cases that I talked about and then to drive automation remediation. So it's a multifaceted problem that we've been solving for nearly a decade. And a given day, we're analyzing several hundred petabytes of data, right? And we're trying to distill it down to the most important aspects for you for your particular role in your responsibility. Yeah, we've talked a lot about transformation at this show and one of the big challenges for customers is they're going through that application modernization journey. I wonder if you could bring us inside some of your customers, you know, where are they having success? Where are some of the bottlenecks slowing them down from moving along this transformation journey? Yeah, so it's interesting because whether you're a cloud native company like Sumo Logic or you're aspiring to be a cloud native company or a cloud first project going through migration, you have similar problems. It's now become a machine scale problem, not a human scale problem, back to the data growth, right? And so some of our customers, regardless of their maturation, are really trying to understand, you know, as they embark on these digital transformations, how do they solve what we call the intelligence gap? And that is because there's so much siloes across enterprise organizations today, across development, operations, IT, security, lines of business, that in its context, in its completeness, it's creating more complexity for our customers. So what Sumo tries to help solve do is solve that intelligence gap in this new intelligence economy by providing an intelligence platform we call Continuous Intelligence. So what do customers do? So some of the customers use Sumo to monitor and troubleshoot their cloud workloads. So whether it's, you know, the Netflix team themselves, right, because they're born and bred in the cloud, or it's Huddle who's trying to provide, you know, analytics intelligence for players and coaches, right? To insurance companies that are going through the migration and journey to the cloud, Hartford Insurance, New York Life, to sports and media companies, Major League Baseball with those whole cyber sock and what they're trying to do there on the backs of Sumo. To even trucking companies like PACCAR, who's trying to do driverless autonomous cars. It doesn't matter what industry you're in. Everyone is trying to go through the digital transformation or be disrupted. Everyone's trying to gain that intelligence or not just be left behind but be lapped. And so what Sumo really helps them do is provide one single intelligence platform across dev second ops, bringing these teams together to be able to collaborate much more efficiently, effectively through the true multi-tenant SaaS platform that we've optimized for 10 years on AWS. So we heard from Andy yesterday that one of the important ways to drive that transformational change is to actually have the top-down support for that. So you mentioned that you were able to provide that one layer across multiple different teams who traditionally haven't really worked that well together. So what are you seeing with customers around when they put in Sumo Logic? Where does that transformational change come from? Are we seeing the top-down driven changes? Is that where customers come from? Or is it a little bit more bottom-up where you have developers and operations and security all trying to work together and then that bubbles up to the rest of the organization? What's interesting, it's both for us because a lot of times it depends on the size of the organization and where the responsibilities reside. So naturally a larger enterprise where there's a lot of forces amassed because of the different siloed organizations, you have to oftentimes start with the CISO. And we make sure the CISO is a transformation agent. And if they are the transformation agent, then we partner with them to really help get a handle and control on their cybersecurity and threat. And then he or she typically sponsors us in to other parts of the line of business, the DevOps teams. Like for example, we see them with Hartford Insurance, or that we saw with F5 Networks and many more. But then there's the flip side of that where we actually start in, let's use another example with, for example, Hearst Media. They actually started because they were doing a lift and shift to the cloud and their DevOps team in one line of business started with Sumo and expanded the usage and growth. They migrated 32 applications over to AWS and then suddenly the security teams got wind of it and then we went top down. Great example of starting bottom up in the case of Hearst or top down in the case of other examples. So the trick here is, as we look at embarking upon these journeys with our customers, we try to figure out which technology partners are they using. It's not only the cloud provider, but it's also which traditional on-premise tools versus potentially cloud-native services and SaaS applications are adopting. Second is which sort of organizational models are they adopting? So a lot of people talk about DevOps. They don't practice DevOps. And then you can understand that very quickly by asking them what tools are you using? Are you using GitHub, Jenkins, Artifactory? Are you using all these other tools? And how are you actually getting visibility into your pipeline? Is that actually speeding the delivery of services and digital applications? Yes or no? It's a very binary answer and they can't answer that. You know they're aspiring to be. So therefore it's a consultative sale for us in that mode. If they're already embarking upon that, however, then we use a different approach where we're trying to understand how they're challenged, what they're challenged with and show other customers and then it's really more of a partnership. Does that make sense? Yeah, makes perfect sense to me. Yeah, so one of the debates we had coming into the show is a lot of discussion at Multicloud around the industry. Of course, Amazon doesn't talk specifically about Multicloud all that well. If you look historically, attempts to manage lots of different environments under a single pane of glass, we always say pane is spelled P-I-A-N when you try to do that. There's been great success. If you look VMware in the data center, VMware didn't cover the entire environment but vCenter was the center of your admins world and you had edge cases to manage some of the other environments here. Feels that AWS is extending their footprint with things like outposts and the environments but there are lots of things that won't be on Amazon whether it be a second cloud provider, my legacy data center pieces or anything else there. Sounds like you touch many of the pieces so I'm curious if you just weigh in on what you hear from customers, how they get their arms around the heterogeneous mess that IT traditionally is and what we need to do is an industry to make things better. You know for a long time many companies have been bimodal and now they're trimodal, right? Meaning that they have their traditional and their new aspects of IT. Now they're trimodal in the sense of they have a third leg of that complexity and stool which is public cloud and so it's a reality regardless of Amazon or GCP or Azure that customers want flexibility and choice and in fact we see that with our own data. Every year as you guys well know we put out an intelligence report that actually shows year over year the adoption of not only various technologies but adoption of technologies used across one cloud provider versus multi-cloud providers and earlier this year in September when we put the new release of the report out we saw that year over year there was more than two X growth in the use of Kubernetes in production and it was almost three times growth year over year and use of Kubernetes across multiple cloud providers. That tells you something. That tells you that they don't want lock in. That tells you that they also want choice. That tells you that they're trying to abstract away from the IaaS layer or infrastructure as service layer so they have portability so to speak across different types of providers for the different types of workload needs as well as the data sovereignty needs that they have to constantly manage because of regulatory requirements, compliance requirements and the like. And so this is where actually it benefits someone like Sumo to provide that agnostic platform to customers so they can have the choice but also most importantly the value. And this is something that we announced also at this event where we now introduced additions to our Cloud Flex licensing model that allows you to not only address multi tiers of data but also allows you to have choice of where you run those workloads and have choice for different types of data for different types of use case at different cost models. So again, delivering on that need for customers to have flexibility and choice as well as the promise of options to move workload from provider to provider without having to worry about the headache of compliance and audit and security requirements because that's what Sumo uniquely does versus point tools. Well, Ramin, I think that's a perfect point to end on. Thank you so much for joining us again. Thanks for having me. And looking forward to catching up with Sumo and in the near future. All right, we're at the midway point of three days wall-to-wall coverage here in Las Vegas, AWS re-invent 2019. He's Justin Warren, I'm Stu Miniman and you're watching theCUBE.