>> live from San Francisco. It's the Cube covering Google Cloud next nineteen, brought to you by Google Cloud and its ecosystem partners. >> Welcome back to San Francisco, everybody. We're here at the Mosconi Center. This is Day one of our three day coverage of Google next twenty nineteen, the second year the Cube has done Google. Next, Google's Big Cloud show, Thomas Curry and up on stage today, the newly minted head of Google Cloud. I'm Dave Volante and this is my co host student, and you're watching the Cube, the leader in live tech coverage. And we're here with Cy Mukundan, who was the director of product management at Cohesive deci. Great to see you again. Thanks for coming back in the queue. >> Thanks, Dave. Thanks. Too nice to be here. >> So if you could show it's hopping. Your clouds were all the action is. But let's talk a little bit about how he city you guys were on fire growing like crazy. What's the quick update on the city? >> Cool. Yeah, cohesive ahs you might have heard last year we had a big funding round way. Heard investment from Softbank. I know it's a result off that we just launched cohesively Japan s. So that's how we're going to market in Japan. So that's expanding our international presence, particularly in Asia. And then here, you know, not America. There's been a growing number off customer acquisition, and I would say, more importantly, repeat customers as well. You know, you you really realize that with enterprises, it's the repeat. Customers help you drive more adoption. That customer case studies on that again gets new customers, right? So that's what you're seeing and cohesive e >> big mega trends that are tail winds and opportunities for Kohi City and other other players in the space. Cloud, obviously, is one of those big ones that changed the way in which we develop applications changed the developer world. But also there's a desire to get Maura out of backups. I want to talk about you know, some of those trends. What is driving your business. What do you guys see? A CZ. The big trends. What's the premise? >> Yeah, So the premises data protection is no longer the insurance policy, so to speak that customers were thinking about they're really thinking about. What else can I do beyond just data protection? Right. So That's where the power ofthe cohesively platform comes in. In terms ofthe, once the data is there on platform, the ability to do other things. Stability to leverage it for tester for disaster recovery for analytics so recently. You know, sometime back we actually launched our APP store, both powered by applications that can know where Bill by Cho Hee City and then also in partnership. It's plunked on a couple of other renders where these APs are now running on the data set that has landed on cohesive. So customers are now truly realizing the vision that we had promised to them in terms of being able to do more with the data. >> So speed a cloud. You guys get hard news, so take us through that. >> Yeah, so today's an exciting day. We actually released our first SAS offering. It's caused. Could cohesively cloud backup service for Google Cloud Platform? So think of it as truly backup. A service broadly speaking, three things right? So it provides that enterprise grade data protection that customers are looking for in G. C. P. So you heard in the main stage today about Google warning to partner with another windows and This is one such partnership. There we provide backup and recovery for applications running on ***, so that's the first one enterprise grade. The second aspect ofthe the solution is the fact that it is truly scalable in nature, but at the same time provides that granular recovery capabilities when the customer needs that data back right on. The last one is really the ease off use and management, because when you're doing things in the cloud, customers are usedto ease off use in terms of consuming the service, right. So here it's integrated with Google both in the marketplace as well as in terms ofthe the building that they get. So everything is all integrated with G C. P. All >> right, so if so, we've talked to all the hybrid multi cloud shows, you know, Big virtual ization show in all three of the Big Cloud shows. What differentiates the SAS offering from what, what cohesive has been offering in the past? >> Yeah, I think so. Up until now, it's bean to major things that we have delivered for customers. One is the Khyber return videos that you guys have alluded to as well and then born in the Cloud Cloud native, their customers still sort of like Do it yourself, you know, deployed the platform from us and then perform all the day today infrastructure management and keep planning around it. This one truly is a different shade or game changer. In the sense start, it's truly backup as a service, so no longer there's a customer need to worry about the infrastructure management aspect ofthe things. They just go into the marketplace as easy as a few clicks, deploy the solution on. Then they're open running in terms ofthe being able to back up and recover. So it's it's really the SAS model. The fact that we're embracing sass on our customers are heading in the direction is what truly differentiates this particular off >> so sight. Why why Google? Let's just start there is to know what you're hearing from customers. Be back. How come this is the first *** offering? Your >> long I think two things right. One is there are enterprises wear hearing more and more enterprises adopting, you know, Google Cloud as well. So this was obviously driven by some customers Summerlee customers asking for such a solution, so that always helps make a business case Right on then. The second one is you heard in the keynote this morning about Google being truly open, winding toward more with partners. And this is the result of one such strategic partnerships a Google sort of collab collaborating with co history and working together to get the solution toe and customer. So >> you see them is more partner friendly. Can you discern the difference between Google and other partners Air, You know, I'm looking for Okay, I heard it on stage. I mean, they're doing so you know, actions speak louder than words, But a za partner, do you discern >> that? I think it resonates well with me for just based on our experience with the whole launch and everything. I'll give you a couple of instances right on. This relates to the fact that you know, Google's acknowledging that they're also learning along with customers, especially the enterprise customers. So we have a number of enterprise customers and knowledge of how to work with them. And to be honest, you know, some of the things on their marketplace and other things required a close collaboration between us. Not everything was there out of the box and Google was a very willing partner. Toe, listen, tow us and collaborate with us on. I make things happen on the second aspect ofthe it really comes down to also the gold market benefits that we're beginning to see as part of that partnership because it's one thing to build a solution. But then taking it to their in customers and our mutual customers is also a big aspect of the partnership. >> Okay, I gotta ask you size. So I hear a lot. I don't have to back up my data. It's in the cloud. Explain our audience. The difference between sort of that statement and what you know, backup recovery, a data protection, modern data protection is all about Why can't I just back it up in the cloud and Google take care of it? >> Yeah, I think not just Google, but with all the clouds. What? What they provide is availability right on the fact that data stays in no multiple regions. But it's essentially the same data set that replicated across different zones are regions a CZ, they call it. But at the end of the day, you know customers want to be able to go back to a certain point in time because there are several reasons for it. One is human errors, you know. That's probably the number one cause of why you know, they they need data protection. But besides that, there's a reason to do step on a certain version ofthe the data is there's a reason John anonymized the data. So a lot of reasons to just, you know, go for a data protection solution beyond what the Cloud Windows offer it offer themselves available. >> One of things we hear is in a hybrid and multi cloud world. I've got my data and a lot of places. So if I can have something that is agnostic tall, those locations that companies like cohesive have done, how does this new SAS offering fit into all of those other environments? If I'm already cohesive customers, they're going to be a similar look and feel. And am I gonna understand that you know what? What? What's the same? What's different? >> Yeah, so we have ah, Helios, which is our SAS management portal. So that's what customers used today. For all they're both on premise as well as crowd deployments on the way it works is it provides you that truly I know single pane of glass is sort of very abuse word, but it really provides us a single view into all your environments across raiders, different deployments off cohesively, whether it's at the edge of the data center or in the cloud. And so in the service, we leverage the same, you know, Helios Banishment portal, but in a much more simply fired format because you're you're taking some off the, you know, administrative aspect away from the customers and having to just provide them just this. The service Functional lady off. Just backup in >> recovery. What is the pricing model for the cloud Backup service is a capacity based usage base monthly. How's it work? >> S Oh, it's truly a consumption based, more like everything else that we're aware off in the clouds. So the way it's priced is it's based on the consumption consumption on the service, the city service, and here's where we provide that benefit back to the inn customer in terms ofthe great deal application and the storage efficiency benefits that we offer provide a lot, you know, lower capacity that actually lands on the service. A supposed to you know what, maybe running in your primary environment. So we provide that benefit back to the customer in terms ofthe charging them on a usage based on consumption based model, in this case, based on the capacity that's landed on the service. And so it's again, like I said earlier, it's integrated with the Google billing. So when a customer looks at their monthly Google infra infrastructure costs, it also includes an additional line item for the cohesively service. So the customer at the end of the day just has to deal with their gcpd. >> So it's a true cloud cloud pricing model, absolute, which is which I say that because much, if not most, of the SAS products that you purchase are not what I would consider to cloud model You'LL you know, make the annual commitment or a multi year commitment. And as the vast majority of the SAS says, the infrastructure guys, they think, got it right. >> You could scale only one way up. Yeah, >> that's good. All right, so I give you closing thoughts on on Google Next your your announcement of the future for the city. >> The one thing that excited me from the keynote this morning was was Antos. I mean, they talked about how that could be a single control plane, not just for G c p, but potentially across other clouds, clouds as well and and even on trim on. That's where I think there is more synergy. There's more partnership because we excel in the data center we excel in the cloud on. So I'm looking forward to this partnership with Google to extend cloud backup service beyond what we have released today. >> Still, what you call the motion for the cloud that powerful concept and we know what the motion did for virtual ization. And so we'll see what at those could do for cloud and cloud management. So thanks very much for coming back And >> thanks for hosting his guys. Really a pleasure to be here. >> Good to see again. All right, keep it right to everybody. He watched the Cube live from Google next twenty eighteen I'm dying day Volante was to minimum John Furry is also here. We'LL be right back after this short break from Mosconi

>> Live from Orlando, Florida it's theCUBE. Covering Microsoft Ignite. Brought to you by Cohesity and theCUBE's ecosystem partners. >> Welcome back, everyone, to theCUBE's live coverage of Microsoft Ignite here in Orlando. I'm your host Rebecca Knight along with my cohost Stu Miniman. We are joined by Sai Mukundan. He is the Director of Product Management, Cloud Solutions at Cohesity. Thanks so much for coming on the show. >> Thanks, Rebecca, thanks. So nice to have you guys here at the Cohesity booth. >> And thank you for hosting us, I should say, yes. >> Absolutely, it's been wonderful. >> So we already had you colleague Lynn Lucas on this morning, she was terrific. And she gave us a high level vision of the news. Why don't you break it down for us. Explain to our viewers exactly what Cohesity was announcing here at Ignite. >> Sure. So, broadly speaking, we announced three things this morning. The first one, we've seen a lot of customers, Optic Office 365, in fact, that's one of the first or initial use cases of how they adopt Microsoft's solutions more off as a service. So the ability to now backup and recover old 365 has come up quite a bit in our customer conversations. So we announced a solution that will be available shortly, so customers can leverage the same Cohesity platform that we had up until now to also backup and recover old 365. So that was number one. Number two was around Azure Databox. So, this is a relatively new offering from Azure. It was up until now, it was in preview, and now it's going GA. So the fact that we can now integrate with Azure Databox as a means for customers to move data from on-premise to Azure, a great initial seeding for long term retention. And the fact that we integrate seamlessly with that, that was the second piece of the news. And then the third one is really around a hybrid Cloud message in the margin. Really, hybrid, I know-- Stu, you like to refer to it more as it's an operational model. It's not about what the Cloud is but it's more of an operation model. And in that model, customers are always looking to leverage it for disaster recovery purposes. And their ability to fade over to Azure and then bring it back on-premise, fade back, that capability is the third underpinning of the announcement this morning. >> And Sai, one of the challenges that we have is, if we look at Cloud and say it's an operating model. Well, the challenge we have is it really is a multi-cloud world. If you look especially here in the Microsoft ecosystem, absolutely, start with Office 365. Microsoft pushed a lot of customers to the SAS model. I have my data center, I'm probably modernizing things there, and then I have the public cloud. Well, when I look at my data, I want to be able to manage and interact and leverage my data no matter where it lives. So, that's where-- I said Microsoft lives in all those places, and it sounds like your integrations are going to help customers span and get their arms around their data and leverage their data no matter where it lives. >> Yeah, I particularly like the use of the word span, because as you may know, we call our underlying distributor file system the spanifest. (laughing) Right? So the idea is that it spans on-premise Cloud, and your point, multi-cloud as well. So the ability to use the same platform, and that's really what drives customers today. When you look at what are the three aspects of our solution that they like, I would say one is the scale ability. The fact that they can start small and then scale as their environment grows, that's important. The second is around, everything plays around automation, API driven, API first architecture, right. And the fact that we are policy based, API driven really really resonates with them. And the third one is the simplicity and ease of management. I mean, you can build all these solutions, but at the end of the day, it has to be simple for customers to consume. And that's something that really resonates with prospects, partners, and customers we talk to. >> Sai, wondering on the Azure Databox, if you could help unpack that a little. We have some Microsoft guests on, Jeffery Snover walked us through. There's a couple of different versions of them. Some are for data movement, some of them there will be really kind of edge, compute, and AI capabilities there. Which ones do Cohesity use, what do you see is the use cases that you'll be playing in? >> Sure, so before I go into the solution and the use case. I think one of the key aspects of why that announcement is important for us, is it also shows the kind of engagement and close technology partnership that we have established with Microsoft, Azure, right. The fact that we are one of their launch partners, both during the preview and now in the GA timeframe. It's important for both customers and partners, because that gives them a good, sort of, understanding that we are there in establishing thought leadership. We are there in working closely with Microsoft in this case, along with other technology partners out there. Just coming back to the solution itself, there are a couple of flavors of Databox. So the one that we have done extensive integration with is Databox. There's another version offered, which is called the Databox Edge, which also has Compute in it. But the idea here, the use case is really around when customers are looking at Cohesity, there is backup and recovery that they can do from on-premise. But Azure and Azure Blob Storage in particular becomes a seamless extension for long term retention. Now, there are a few customers, and I can relate to several who asked, "Hey, I have a large enough "data set that needs to be seeded initially." And obviously the network becomes a bottle neck in that case. So with Databox, the ability to now transfer the data into your on-prem, like you get the Databox shipped to your on-premise, get it loaded, true Cohesity. Seamlessly get it hydrated in our Azure account, and from that point on we only send the changes or the incremental data. So that is really appealing to both customers, as well as partners who are really engaged in these migration projects in some cases. >> I'm really interesting what you're talking about with the thought leadership and your approach to partnerships, because Microsoft selecting Cohesity as a partner, it's a real stamp of approval for Cohesity, a real validation that this company's for real. How do you then think about who you will partner with? Particularly if the company is, say, only five years old or pretty new to the space or maybe not as well known. >> I think one of the things that Mohit Aron, and he's a pioneer in the spirit systems and is the founder of Cohesity. One of the things that he established, right from the get go is the ability for the product to scale, scale on-premise, but also that the Cloud has to be very seamless. It's a natural extension of what the architecture is intended to do or achieve. And so that kind of made it easier for us on the product team to figure out who is it that we need to partner with. Azure is obviously a leader in that space, particularly over the last few years. I want to go back to something that was mentioned in the keynote yesterday. It's not a know it all, but it's a learn it all, right. The learning that we have had as we have grown Cohesity and the product has grown and as we acquired customers and talked to prospects is they want to work with the likes of Microsoft Azure, leverage the infrastructure that they have to offer. So we started there. We said if customers are asking for it, we do it and we learn along with them on why and what the use cases are. And it started with, going back to my earlier comment, long term retention. And now, as an extension to that, with the hybrid cloud where not only storage, but leveraging disks, leveraging Azure Compute, that's now become an extension of what we started off with. And so we have Azure DataPlatform Cloud Edition, which is Cohesity running on Azure. So I would say how we made the decision in this case, A. the product and the foundation really set that for us, but B., more importantly, the customers really asking for it and asking for that integration made it easier for us to determine that, hey we absolutely need to partner with the cloud renders. >> Sai, I'd like to build off of that, the customers and what they're asking for. This is a very large ecosystem here. To be honest, we know that Azure, Microsoft is a big player in Cloud, when I look at this show, Azure's a piece of the overall discussion. So, I was a little surprised. Not that we're hearing more about Azure here, but, it's because if you look at just order magnitude, how many customers Microsoft has on Windows and Office, obviously that's going to dwarf customer adopts in general. Where are your customers when the talk about Cloud adoption, your customers? Do you find them more in a Windows customers in their own data center versus Azure? What are your customers doing and adoption of Cohesity Cloud products in general? >> So if you look at the typical on ramp of customers, more often than not, at least I would say over the last couple of years, our customers have typically started with the on-premise. Because their immediate pain point was the platform can do a lot of things. Customers are always looking to also solve that immediate pain point while looking into the future. So the immediate pain point was really around how do I make my backup and data protection systems, first of all, simple, efficient, and less fragmentation. And while I'm doing that, how can I then potentially invest in the platform that is capable of doing more. And that's something that Cohesity offered in the on-premise world. And as a natural extension to that, as both from the bottoms up, as storage admins and backup admins started looking at leveraging Cloud or Azure in particular for as an extension of their storage infrastructure, as well as from the top down. You know, more of like the business decision makers and the CIOs driving that mandate of, hey, I want you to think about Cloud first and have that mindset. I think it really appealed to them. Because now they could start leveraging Azure Blob, again, back to that long term retention, legal hold, compliance standpoint. And then building off of that, building off of that to do test dev. We have a great feature, it's called Cloud Spend. The ability to take some of the on-premise infrastructure. And your earlier questions too, we have seen customers both VMware, Windows Hyper-v environments. Believe it or not, some customers still have physical systems. And the fact that Cohesity can take care of all that in the on-prem world, while seamlessly helping them adopt Cloud is really the kind of customers that we have seen in this journey that we have taken along with our customers and partners. >> Well this is theCUBE's first time at Ignite. I know you're relatively new to Ignite. >> I'm even surprised about that. I would think you guys would have made a number of appearances, but I'm glad it's the first time and it's at the Cohesity booth, so wonderful. >> We're so excited, but what are some of the things you're going to take back with you from this conference? >> I think for me, this conference, as has any other such conference in particular, it's really the excitement. You go back and you reflect on the last three, four days you spend here, and it's about all the great conversations that we have had with customers, prospects, and partners. Secondly, we heard a session earlier this morning, a Cohesity session, we had Brown University join us. And then there's going to be another one tomorrow. We're going to have UPenn and HKS. We are working on your alma mater Cornell, by the way, Stu. So we'll get them soon. >> Excellent, excellent. Go Big Red. >> So the fact that we have all these sessions and some really great attendance. And attendance from folks who are yet to embrace the Cohesity solutions. So it's great for us to get our message out. >> Getting the word out. >> Get our word out there. And I would say the last thing for us is also showcasing to Microsoft here in particular, the fact that we have this big presence here and the excitement it's having is a great message to the Microsoft executives and the leadership team that we work with as well to show more love, we already have enough that we get attention from them. But this is more of a validation for them to say there's more that we should be doing and could be doing with Cohesity. So I think those are probably the three things I'll walk away with and build on what we learned from Ignite here. >> Excellent, well thank you so much, Sai, for coming on the show. It was great having you here. >> Thanks, likewise. >> I'm Rebecca Knight for Stu Miniman, we will have more at theCUBE's live coverage of Microsoft's Ignite in just a little bit. (techno music)

>> Announcer: Live, from the Moscone Center, it's theCUBE covering AWS Summit San Francisco 2018. Brought to you by Amazon Web Services. (electronic music) >> Welcome back to theCUBE's coverage of AWS Summit here in San Francisco. I'm Stu Miniman, happy to welcome to the program a first time guest, Sai Mukundan, who's in product management at Cohesity, excuse me, Sai, thanks so much for joining us. >> Thanks, Stu, lovely to be here at AWS Summit. >> Okay, tell us a little bit about your background and really, what led you to come to Cohesity? >> Sure, so as you know, Cohesity is one of the private VC funded companies in the Bay Area. I was actually in Microsoft Azure prior to Cohesity. >> Can't mention Azure here, we're at the AWS event, Sai. >> It's okay, I mean, that's where I was, right? >> So, I've been in storage domain, in the industry for some time, prior to that at Veritas. Being in product management for a number of years, and I think what drew me to Cohesity was really two things, right. One is the fact that it was led by, it's led by Mohit Aron, one of the pioneers when it comes to distributed systems and building and scaling companies. And then, the second thing is to really be part of something where you can make a big difference in industry. I mean, you are making a sea change in the storage domain, of all things, to become hard again. And so to be part of that change was really what drew me to Cohesity. >> Yeah, (mumble), you talk about storage in Cloud. You know, when you think back, it's like, remember, Cloud was going to be simple, it's just this wonderful thing. We just turn it on, I don't have to worry about things like, definitely don't have to worry about storage. You know, they'll take care of all my security, your backup goes away, I don't have to worry about any of the things anymore. Oh, wait, maybe we do need to worry about those things, right? >> Yeah, absolutely, absolutely. So, what we see from customers is, a lot of them really want to adopt the Cloud and have been adopting it in their own way, right? But what they're faced with is, really, broadly, I would say from a storage perspective, three different challenges. One is the fact that they have, they continue to have their on-premises and now they're looking to leverage the Cloud, so that's number one in terms of how can I make it very seamless without any point products or point solutions. The second is, from a Cohesity perspective, we are really focused on what we call a secondary storage. Things that are outside what we call the primary, which is not your mission critical, high IOPS, low latency applications, but things like backup, test, dev, DR, right? And so, there's a lot of silos in there. So, how do I adopt the Cloud, at the same time reduce the silo infrastructure? And the third one is really around ease of use and management and simplicity around it. So that's really where the complexity comes in and Cohesity is trying to address that. >> Okay, Sai, when I look, some of the marketing material from Cohesity, I heard the term, it was hyper-converged, secondary storage. Isn't that some box that lives in my data center? How does that fit into, kind of, the Cloud discussion that we're having today? >> Yeah, so let me clarify that myth a little bit, right. So, in the data center, yeah, you have a lot of boxes, right. But, from Cohesity, the way we like to think about our solutions is it's completely software defined, right. Software defined, API-driven approach to doing things. So let me, kind of, set you up with what the challenge is from a customer standpoint. So when you have secondary storage, or the element of backup and test, dev, and DR. What customers typically have is a combination of media servers, massive servers, talking to storage, tape, and then Cloud becomes an afterthought. You typically have some kind of a Cloud gateway, talking to various different public Clouds, right. So you can see how this environment is pretty complicated in the fact you have different point products. So very scattered and inefficient. The second thing, from an inefficiency standpoint, is the fact that there is the same copy of data maintained across many different systems. And then, now, when you think about the Cloud, you're now trying to manage the on-premise with the Cloud, right, and managing it in two different environments is not very easy. That's the problem space and then with Cohesity, what we are trying to do is, we have what we call The Data Platform, again that's the software-defined aspect of it, which can run on hardware that we provide. Or it can run on hardware that the customers bring to the table. So, again that's where the software-defined nature comes in. And the same software, we call it the Cloud Edition can run on AWS or any of the other public Clouds as well. >> Okay, so paint a picture for me. Is the data center kind of the primary piece and the Cloud, is it kind of a back up archive, things like that? Or are they equal and they live, or there's some customers, can I just have Cohesity software only in public Clouds, or does there need to be some data center component of this? >> It's really all of the above, in the sense that we have customers who think of it, think of a hybrid approach to doing things. So they have their on-premises and the Cloud as well, right. And, in the hybrid approach, they're typically trying to do two things. One is, leverage just the storage in the Cloud as an extension of their on-premise, wherein you can archive the data for long-term retention or for tiering. And then the second use case is really around test, dev, and disaster recovery in the Cloud. Then we have a second set of customers which are born in the Cloud, Cloud only, right. And that's where our Cloud Edition product, the software-defined nature of it helps them run in the Cloud and so all the same main points. We don't want any silos now existing in the Cloud, right. And then, there is a third category wherein they are predominantly on-prem today, but heavily looking to leverage the Cloud, and Cohesity is that data continuum, so to speak, in terms of a single platform, a single fabric, that can manage both on-premise, as well as the Cloud environment. >> Great, so I heard, Cloud Edition, I could be only in The Cloud and can work with Cohesity. >> Absolutely. >> When I look at customers, you know, it's typically heterogy as an environment. It's great if I've got some brand new, born in the Cloud there, but most customers, they've got a heterogeneous environment, which means, I've got multiple different storage types in my data center. I'm probably using multiple Cloud services, and we'd think that'd be a good position for Cohesity, to be that secondary storage layer, to help manage all of that, no matter what we are. Am I getting that right? >> Yeah, absolutely. I would say, the more fragmentation, or the more point solutions a customer is using today, the greater the benefit they can realize from Cohesity. 'Cause we are really bringing all of that together, right. So, you mention storage, storage is a big part of it. But, you also see a lot of customers looking toward up more compute as well in The Cloud, right. That's where the likes of Amazon EC2 and The EBS really comes in to play as well, right. And in that case, really, the use cases are test, dev, disaster recovery, and then the fact that they can do more with the data, right? One of the other things that our platform offers is the ability to do analytics on it. The ability to find insights, as Mohit likes to call it, it's dark data today, but we can shed some light on it. So that's really where the direction is where we are headed in terms of innovation and where Cohesity is headed as a company. >> Sai, what do you find from customers? Are they aware of the challenge that they have in the Cloud? I think, in the data center, it's kind of well known that I need to be able to deal with these. Are there customers that are just unaware that they've got some of these challenges or falling into pitfalls and losing data or having issues that they then have to deal with? >> I would say there are two sets of customers in that space. One is the customer who is really wary about things, who's really security conscious, who's kind of just dabbling with The Cloud, maybe, here and there, but really conscious about adopting it on a broader perspective. Just because they're really concerned about whether it's PII information, or any other security aspects, right. So, for them, having a solution that spans both on-premise and the Cloud really is a great stepping stone, so to speak, in terms of now I can confidently move the data to the Cloud. It's encrypted both at rest and in flight, and I can continue to use the same solution in both cases. We have a second set of customers, I would say, who are more, have been more bullish about the Cloud in general. But now they are taking a step back and saying, hey, wait a minute, I'm continuing to face some of these same challenges that existed on-premise in the past, right. It's siloed again, I have various different storage. We have S3, EBS, you have potentially other things, And then, I'm running into the same pitfalls. So how can I take a step back, take a more holistic approach and solve the problem? So, again, they're with the software-defined nature of our solution really appeals to them because we come in and we can solve some of those problems as well. They then face the same sort of problems in the Cloud world as they did on-prem world and now they can say hey, let me look at Cohesity as a solution that can get me there. >> All right, you brought up PII, so I have to ask the big question that's in everybody's mind lately, what about GDPR? AWS said this morning, all their services, fully ready, 100%, how does this impact Cohesity and your customers? >> So, GDPR is a big thing for us and our customers and prospects, as well. So we are actively working on getting GDPR compliant. Today, our platform is FIPS compliant, so that's already a big stepping stone to getting there. So we look at GDPR in one of, in two ways again, right. One is the the solution that we provide to our customers, The Data Platform and The Data Protector, as we call it, being GDPR compliant. Meaning, the data that lands on that system, the ability to delete the data, the ability to say who has access to the data, road-based access, things like that. The second aspect is our support and the fact that we have access to a lot of customer information ourselves, right. The fact that we can look at their systems and make sure that everything that we do internally is also GDPR compliant, so that the customers and our support systems and our salesforce database is all GDPR as well. So both those elements come in to play and we are actively working on all of them. >> Well, I wouldn't expect that you'd be looking at the customers' data. (Stu chuckles) >> Well, when I say customers' information, what I mean is the fact that when we access their platform, let's say they file a support ticket. The fact that now we can access their platform, debug their systems, look at the logs and alerts. It's equally important to be compliant there as well, from a GDPR stand point. >> Totally understand, I just wanted to make sure there wasn't any ambiguity there. Great, Sai, I want to give you the final word. We look forward to 2018, what can we be looking for from Cohesity as a regards to the Cloud Marketplace? >> Yeah, I think a couple of things there. One thing that you will hear more about is Cohesity and Cloud. We are actively, we have been working on The Cloud elements, both from a storage perspective and a computer perspective. But looking here, I would say more on what we can do with Cloud Edition, especially with the fact that there are more Cloud native, born in the Cloud applications and providing the same data protection and platform abilities in the Cloud, that is number one. And then the second aspect, I would say, is continued reinforcement of our hybrid message. The fact that we can solve this pain point for our customers in the on-prem world and the Cloud world. Really, from a scalable standpoint, from an API different standpoint, and the ease of use in management. Those three themes are something that you will continue to hear from Cohesity. >> All right, Sai Mukundan with Cohesity, thanks so much for bringing us the update. We'll be back with lots more coverage here from AWS Summit San Francisco, I'm Stu Miniman, you're watching theCUBE. (electronic music)

(Upbeat Music) >> Commvault was an idea that incubated as a project inside of Bell Labs, one of the most prestigious research and development organizations in the world, back in the day. It became an official company in 1996, and Commvault just celebrated its 25th anniversary As such, Commvault has had to reinvent itself many times over the past two and a half decades from riding the waves of the very early PC networking era to supporting a rich set of solutions for the evolving enterprise. This includes things like cloud computing, ransomware, disaster recovery, security compliance, and pretty much all things data protection and data management. And with me to talk about the company, its vision for the future with also a voice of the customer are three great guests. Isabelle Guis is the Chief Marketing Officer of Commvault, Manoj Nair is the GM of Metallic, and Tim Carben is a Principal Systems Engineer with Mitchell International. Folks, welcome to the Commvault power panel. Come inside theCUBE. It's awesome to have you. [Isabelle] Great to be here today. >> All right. First of all, I got to congratulate you celebrating 25 years. That's a long time, not a lot of tech companies make it that far and are still successful and relevant. So Isabelle, maybe you could start off. What do you think has been the driving factor for your ability to kind of lead through the subsequent technological waves that I alluded to upfront? >> So well, 25 years is commendable but we are not counting success in number of years. We're really counting success in how many customers we've helped over those years. And I will say what has been the driving matter for us as who that, has been innovating with our customers. You know, we were there every step of the way when they migrate to hybrid cloud. And now as they go to multi-cloud in a post COVID world where they have to win gold you know, distributed workforce, different types of workloads and devices, we all there too. We assess workload as well. So the innovation keep coming in, thanks to us listening to our customer and then, adding needs that change over the last 25 years and probably for the next 25 as well. You know, we want to be here for customer was thinking that data is an asset, not a liability. And also making sure that we offer them a broad range of use cases to quote why things simple because the world is getting too complex for them. So let's take the complexity on us. >> Thank you for that. So Manoj, you've riffed on the cube before about, you know putting on the binoculars and looking at the future. So, let's talk about that. Where do you see the future for this industry? What are some of the key driving factors that matter? >> It's great to be back on theCUBE. You know, we see our industry no different than lots of other industries. The SaaS Model is rapidly being adopted. And the reason is, you know customers are looking for simplicity, simplicity not just in leveraging, you know the great technology that Commvault has built, but in the business model and the experience. So, you know, that's one of the fastest growing trends that started in consumer apps and other applications, other B to B apps. And now we're seeing it in core infrastructure like data management, data protection. They're also trying to leverage their data better. Make sure it's not fragmented. So how do you deliver more intelligent services? You know, securing the data, insights from the data, transforming the data, and that combination, you know, our ability to do that in a multi-cloud world like Isabelle said, now with increasing edge work loads. Sometimes, you know, our customers say their data centers has a new edge too. So you kind of have this, you know, data everywhere workloads everywhere, yet the desire to deliver that with a holistic experience, we call it the 'power of bank'; the ability to manage your data and leverage the data with the simple lesson without compromise. And that's really what we're seeing as part of the future. >> Okay. I don't know if all want to come back to you and double click on that, but I want to introduce Tim to the conversation here. You bring in the voice of the customer, as they say. Tim, my understanding is Mitchell has been a Commvault customer since the mid-2000s. So, tell us why Commvault, what has kept you with the company for more than 15 years? >> Yeah, we are, it was what, 2006 when we started. And really what it all boils down to it, it's just as Isabel said, innovation. At Mitchell, we're always looking to stay ahead of the trend. And, you know, just to like was mentioned earlier, data is the most important part here. Commvault provides us peace of mind to protect and manage our data. And they do data protection for all of our environments right now. We've been a partner to help in navel our digital transformation including SaaS and cloud adoption. When we start talking about the solutions we have, I mean we of course started in 2006. I mean, this was version version 6 if I remember right. This predates me at the company. Upgraded to seven, eight, nine, we brought in ten, brought in eleven, brought in HyperScale, and then moved on to bring in the Metallic. And Commvault provides the reason for this. I guess I should say is, Commvault provides a reliable backup but most importantly, recovery. Rapid recovery. That's what gives me confidence. That's what helps me sleep better at night. So when I started looking at SaaS as a differentiator to protect our 036 environments or 065 environments, Metallic was a natural choice. And the one thing I wanted to add to that is, it came out cheaper than us building it ourselves. When you take into account resources as well as compute and storage. So again, just a natural choice. >> Yeah. As the saying goes back up as one thing, recovery's everything. Isabelle. Yeah, we've seen the SaaSification of the enterprise. Particularly, you know from the app side. You came from Salesforce. So you, the company that is the poster child for SaaS. But my question is what's catalyzing this shift and why do you think data protection is ready to make the move? >> Well, there's so many good things and that's that. As you know, you remember when people started moving to the cloud and transforming their CAPEX into OPEX. Well SaaS bring yet another level of benefits. IT, we know always has to do more with less. And so SaaS allows you to, once you set up, you've got all the software upgrades automatically without you know, I think it's, why it works. You can better manage your cash flow, because you pay as you grow. And also you have a faster time to value. So all of this at help, the fast adoption and I will tell you today I don't think there is a single customer who doesn't have at least one SaaS application because they have things of value of this. Now, when it comes to backup and recovery everybody's at different stages. You still have On-Premises, you have cloud, there's SaaS, there's Workloads devices. And so what we think was the most important was to offer a broad choice of delivery model being able to support them if they want a software subscription, if they want an integrated appliance, or if they want SaaS as a service model, and also some of our partners actually delivering this in a more custom and managed way as well. So offering choice, because everybody is at a different stage on this journey. When it comes to data management and protection, I actually, you know, I think team is the example of taking full advantage of this bold choice. >> Well, you mentioned Tim that you leaned into Metallic. We have seen the SaaS everywhere. We used to have a email server, right? I mean, you know, On-Prem, that just doesn't happen anymore. But how was Mitchell International thinking about SaaS? Maybe you could share your, from your customer perch, what you're seeing. >> Well, what's interesting about this is, Mitchell is been providing SaaS for a long time. We are a technology company and we do provide solutions, SaaS solutions, to our customers. And this makes it so important to be able to embrace it because we know the value behind it. We're providing that to our customers. And when I look at what Commvault is doing I know that Commvault is doing the same thing. They're providing the SaaS Model as a value to their customers. And it's so important to go with this because we keep our environments cutting edge. As GDPR says, You need to have a cutting edge environment. And if you don't, if you cannot check that box you do not move forward. Commvault has that. And this is one less thing that I have to worry about when choosing Metallic to do my backup of O365. >> So thank you for that, Tim. So Manoj, thinking about what you just heard from Isabelle and Tim, you know, kind of fitting into a company's cloud or hybrid cloud, more importantly, strategy, you were talking before about this. "And", in other words, it's not an either or it's not a zero sum game. It's simpatico, if you will. I wonder if you could elaborate. >> Yeah, no The Power of And, Dave, I'm very proud of that. You know, when I think of The Power of And I think of actually folks like Tim, our customers and Commonwealth first, right. And, and really that, that need for choice. So for example, you know, customers on various different paths to the cloud we kind of homogenize it and say, they're on a cloud journey or they're on a digital transformation journey, but each journey looks different. And so part of that, "And", as Isabella was saying, is really the ability to meet them where they are in that journey. So for example, you know, do you, go in there and say, Hey, you know what, I'm going to be some customers 100% multi-cloud or single cloud even. And that includes SaaS applications and my infrastructure running as a service. So there's a natural fit there saying great all your data protection. You're not going to be running software appliances for that. So you've got to data protection, data management as a service that Metallic is the able to offer across the whole S state. And that's, you know, that's probably a small set of customers, but rapidly growing. Then you see a lot more customers were saying I'm going to do away as you're talking about but the emails are where I'm going to move to office 365, leverage the power of teams. And there's a Shared Responsibility Model there which is different than an On-Prem data protection use case. And so they're, they're able to just add on Metallic to the existing Commonwealth environment, whether it's a Commonwealth software or HyperScale, and connect the two. So it's a single integrated experience. And then you kind of go to the other end of the spectrum and say, great customers all in on a SaaS delivered data protection, as you know, and you hear a lot from a lot of your guests and we hear from our customers, there's still a lot of data sitting out there, you know, 90 plus percent of workloads and data centers increasing edge data workloads. And if you were to back up one of those data workloads and say that the only copy can be in the cloud, then that would take like a 10 day recovery isolation. You know, we have some competitors who say that then that's what they have. Our flexibility, our ability to kind of bring in the Hyper-Scale deployment and just, you know, dock it into Metallic, and have a local copy, instant recovery, SLA, remote, you know, backup copy in the cloud for ransomware, or your worst case scenario. That's the kind of flexibility. So all those are scenarios we're really seeing with our customers. And that's kind of really the power advantage. A very unique part of our portfolio, but, you know, companies can have portfolio products, but to have a single integrated offering with that flexibility, that kind of, depending on the use case, you can start here and grow into a different point. That's really the unique part of the power event. Yeah, 10 day RTO just doesn't cut it, but Timmy, maybe you could weigh in here. Why, What was the catalyst for you adopting Metallic and maybe you could share what was the business impact there? >> Well, the catalyst and impact, obviously two different things. The catalyst, when we look at it, there was a lot of what are we going to do with this? We have an environment, we need to back it up, and how are we going to approach this? So we looked at it from a few different standpoints, and of course, when it boils down to it, one of the major reasons was the financial. But when we started looking at everything else that we have available to us and the flexibility that Commvault has in rolling out new solutions, this really was a no brainer at this point. We are able to essentially back up new features and new products, as soon as they're available. Within our Metallic environment, we are running the activate. We are running the the self-service for the end users to where they can actually recover their own files. We are adding the teams into it to be able to recover and perform these backups for teams. And I want to step aside really quick and mentioned something about this because I'd been with, you know, Metallic for a long time and I'd been waiting for this. We've been waiting for an ability to do these backups and anyone I know Manoj knows that I've been waiting for it. And you know, Commvault came back to me a while back and they said, we just have to wait for the API. We have to wait for Microsoft releases. Well, I follow the news. I saw Microsoft released the API, and I think it may have been two days later. Good. Commvault reached out to me and said, Hey we got it available. Are you ready to do this? And that sort of turned around that sort of flexibility being on top of new applications with that, with Salesforce, that is, you know, just not necessarily the reason why I adopted Metallic but one of those things that puts a smile on my face because I adopted Metallic. >> Well, that's an interesting story. I mean, you get the SDKs and if you're a leader you get them, you know, you can put the resources on it and you're ready when, when the product, you know, comes to GA. Manoj, I wonder if we could talk about just the notion of backing up SaaS, part of the announcements today included within Metallic included backup and offerings for Dynamics 365. But my question is why support Dynamics specifically in SaaS apps generally? I mean, customers might say, doesn't my SaaS provider protect my data? Why do I need a third party? And, and the second part of that question is why Commvault? >> Dave a great question as always. I'll start with the second part of the question. It's really three words the Shared Responsibility Model. And, you know, a lot of times our customers as they go into the cloud model they really start understanding that there is something that you're getting a lot of advantages the certain things you don't have to do, but the Shared Responsibility Model is what every cloud and SaaS provider will indoctrinate in its S&As. And certainly the application data is owned by the customer. And the meaning of that is not something that, you know, some SaaS provider can understand. And so that requires specialized skills. And that's a partnership. We've done this now very successfully with Microsoft and LG 65, we've added support for Salesforce, and we see a rapid customer adoption because of that Shared Responsibility Model. If you have, some kind of, an admin issue as we have seen in the news somebody changed their team setting and then lost all their chat. And then that data is discoverable. And you, the customer is responsible for making sure that data is discoverable or ransomware attacks. Again, recovering that SaaS data is your responsibility because the attack could be coming in from your instance not from the SaaS provider. So those are the reasons. Dynamics is, you know, one of the fastest growing SaaS applications from a business applications perspective out there. And as we looked at our roadmap, and you look at at the right compliment, what is the right adjacency, we're seeing this part of Microsoft's Business Application Suite growing, you know, as millions of users out there and it's rapidly growing. And it's also integrated with the rest of the Microsoft family. So we're now, you know, proud to say that we support all three Microsoft clouds, Microsoft Azure, or 365, Dynamics. Those applications are increasingly integrated so we're seeing commonality in customer base and that's a business critical data. And so customers are looking to manage the data, have solutions that they can be sure they can leverage. It's not just protecting data from worst-case scenarios. In the case of some of the apps like Dynamics, we offer a support, like setting up the staging environment. So it's improving productivity of the application admins, and that's really kind of that the value we're bringing able to bring to the table. >> Yeah. You know, that Shared Responsibility Model. I'm glad you brought that up because I think it's oftentimes misunderstood but when you talk to CSOS, they understand it well. They'll tell you the shared responsibility is my responsibility. You know, maybe the cloud provider will secure the object storage bucket for the physical space, but it's on me. So that's really important. So thank you for that. Isabelle, last question, the roadmap, you know, how do you see Commvault's, Metallic SaaS portfolio evolving? What can you tell us? >> Oh, well, it's, it has a big strategic, you know, impact on Commvault for sure on the first portfolio first because of all of our existing customers as you mentioned earlier, 25 years, it's a lot of customers are somehow some workload as SaaS. And so the ability without, you know, adding more complexity without adding another vendor just to be able to protect them in one take, and as teams they bring a smile to his face is really important for us. The second is also a lot of customers come to Commvault for Metallic. This is the first time enter the Commvault community and Commvault family. And as they start protecting their assessed application they realize that they could leverage the same application to protect their own premised data as well. So back to The Power of And, and without writing off their past investments, you know, going to the cloud at the pace they want. So from that perspective, there is a big impact on our customer community the thing is that Metallic it brings I don't know Manoj is way too humble, but, you know, he don't go to this customer every quarter. And, you know, we have added 24 countries to the portfolio, to the product. So we see a rapid adoption. And so obviously back to your question, we see the impacts of Metallic growing and growing fast because of the market demand, because of the rapid innovation we can take the Commvault technology and put it in the SaaS model and our customers really like it. So I'm very excited. I think it's going to be, you know, a great innovation, a great positive impact for customers, and our new customers we're welcoming, which by the way I think half, Manoj correct me, but I think half of the Metallic customer at Commvault and the other half are new to our family. So, they're very bullish about this. And it's just the beginning, as you know, we are 25 years old, or sorry, 25 years young, and looking forward to the next 25. >> Well, I can confirm, you know, we have a data partner survey, partner ETR, Enterprise Technology Research, and I was looking at the Commvault data and it shows within the cloud segment, when you cut the data by cloud, you're actually accelerating, the spending momentum is accelerating. And I think it's a function of, you know, some of the acquisitions you've made, some of the moves you made in integration. So congratulations on 25 years and you know, you're riding the correct wave, Isabelle, Manoj, Tim, thanks so much for coming in theCUBE. It was great to have you. >> Thank you. >> Thank you Dave. >> I really appreciate it. >> And thank you everybody for watching. This is Dave Vellante for theCUBE. We'll see you next time. (Upbeat Music)

>>Live from Las Vegas. That's the Q covering splunk.com 19 brought to you by Splunk. >>You know, kind of leaning on that heavily. Automation, certainly very important. But what does enterprise and what does enterprise security 6.0 bring to the table. So can you take us through the evolution of where you guys are at with, with Splunk, if you want to handle that enterprise security? So yeah, generally enterprise security has traditionally had really, really good use cases for like the external threats that we're talking about. But like you said, it's very difficult to crack the insider threat part. And so we leveraging machine learning toolkit has started to build that into Splunk to make sure that you know, you can protect your data. And, uh, you know, Tyler and I specifically did this because we saw that there was immaturity in the cybersecurity market for insider threat. And so one of the things that we're actually doing in this top, in addition to talking about what we've done, we're actually giving examples of actionable use cases that people can take home and do themselves. >>Like we're giving them an exact sample code of how to find some outliers. They give me an example of what, so the use case that we go over in the talk is a user logs in at a weird time of day outside of their baseline and they exfiltrate a large amount of data in a low and slow fashion. Um, but they're doing this obviously outside of the scope of their normal behavior. So we give some good searches that you can take home and look at how could I make a baseline, how could I establish that there's deviations from that baseline from a statistical standpoint, and identify this in the future and find the needle in the haystack using the machine learning toolkit. And then if I have a sock that I want to send notables to or some sort of some notification to how do we make that happen, how do we make the transition from machine learning toolkit over to enterprise security or however your SOC operates? >>How do you do that? Do you guys write your own code for that? Or you guys use Splunk? So Splunk has a lot of internal tools and there's a couple of things that need to be pointed out of how to make this happen because we're aggregating large amounts of data. We go through a lot of those finer points in the talk, but sending those through to make sure that they're high confidence is the, is the channel you guys are codifying the cross connect from the machine, learning to the other systems. All right, so I've got to ask, this is basically pattern recognition. You want to look at baselining, how do people, can people hide in that baseline data? So like I'll give you, if I'm saying I'm an evil genius, I say, Hey, I knew these guys looking for Romans anomalies in my baseline, so I'm going to go low and slow in my baseline. >>Can you look for that too? Yeah, there are. There absolutely are ways of, fortunately, uh, there's a lot of different people who are doing research in that space on the defensive side. And so there's a ton of use cases to look at and if you aggregate over a long enough period of time, it becomes incredibly hard to hide. And so the baselines that we recommend building generally look at your 90 day or 120 day out. Um, I guess viewpoint. So you really want to be able to measure that. And most insider threat that happen occur within that 30 to 90 day window. And so the research seems to indicate that those timelines will actually work. Now if you were in there and you read all the code and you did all of the work to see how all of the things come through and you really understood the machine learning minded, I'm sure there's absolutely a way to get in if you're that sophisticated. >>But most of the times they just trying to steal stuff and get out or compromise a system. Um, so is there other patterns that you guys have seen in terms of the that are kind of low hanging fruit priorities that people aren't paying attention to and what's the levels of importance to I guess get ahold of or have some sort of mechanism for managing insider threats? I passwords I've seen one but I mean like there's been a lot of recent papers that have come out in lateral movement and privilege escalation. I think it's an area where a lot of people haven't spent enough time doing research. We've looked into models around PowerShell, um, so that we can identify when a user's maliciously executing PowerShell scripts. I think there's stuff that's getting attention now that when it really needs to, but it is a little bit too late. >>Uh, the community is a bit behind the curve on it and see sharks becoming more of a pattern to seeing a lot more C sharp power shells kind of in hunted down kind of crippled or like identified. You can't operate that way, what we're seeing but, but is that an insider and do that. And do insiders come in with the knowledge of doing C sharp? Those are gonna come from the outside. So I mean, what's the sophistic I guess my question is what's the sophistication levels of an insider threat? Depends on the level a, so the cert inside of dread Institute has aggregated about 15,000 different events. And it could be something as simple as a user who goes in with the intent to do something bad. It could be a person who converted from the inside at any level of the enterprise for some reason. >>Or it could be someone who gets, you know, really upset after a bad review. That might be the one person who has access and he's being socially engineered as well as all kinds of different vectors coming in there. And so, you know, in addition to somebody malicious like that, that you know, there's the accidental, you're phishing campaigns here, somebody's important clicks on an email that they think is from somebody else important or something like that. And you know, we're looking fair for that as well. And that's definitely spear fishing's been very successful. That's a hard one to crack. It is. They have that malware and they're looking at, you can say HR data's out of this guy, just got a bad review, good tennis cinema, a resume or a job opening for, and that's got the hidden code built in. We've seen that move many times. >>Yeah, and natural language processing and more importantly, natural language understanding can be used to get a lot of those cases out. If you're ingesting the text of the email data, well you guys are at a very professional high end from Sai C I mean the history of storied history goes way back and a lot of government contracts do. They do a lot of heavy lifting from anywhere from development to running full big time OSS networks. So there's a lot of history there. What does sustain of the yard? What do you guys look at as state of the art right now in security? Given the fact that you have some visibility into some of the bigger contracts relative to endpoint protection or general cyber, what's the current state of the art? What's, what should people be thinking about or what are you guys excited about? What are some of the areas that is state of the art relative to cyber, cyber security around data usage. >>So, I mean, one of the things, and I saw that there were some talks about it, but not natural language processing and sentiment analysis has gotten, has come a long way. It is much easier to understand, you know, or to have machines understand what, what people are trying to say or what they're doing. And especially, for example, if somebody's like web searching history, you know, and you might think of somebody might do a search for how do I hide downloading a file or something like that. And, and that's something that, well, we know immediately as people, but you know, we have, our customer for example, has 1000000001.2 billion events a day. So you know, if the billion, a billion seconds, that's 30 years. Yeah. So like that's, it's, it's a big number. You know, we, we, we hear those numbers thrown around a lot, but it's a big number to put it in perspective. >>So we're getting that a day and so how do we pick out, it's hard to step of that problem. The eight staff, you can't put stamp on that. Most cutting edge papers that have come out recently have been trying to understand the logs. They're having them machine learning to understand the actual logs that are coming in to identify those anomalies. But that's a massive computation problem. It's a huge undertaking to kind of set that up. Uh, so I really have seen a lot of stuff actually at concierge, some of the innovations that they're doing to optimize that because finding the needle in the haystack is obviously difficult. That's the whole challenge. But there's a lot of work that's being done in Splunk to make that happen a lot faster. And there's some work that's being done at the edge. It's not a lot, but the cutting edge is actually logging and looking at every single log that comes in and understanding it and having a robot say, boom, check that one out. >>Yeah. And also the sentiment, it gets better with the data because we all crushed those billions of events. And you can get a, you know, smiley face or that'd be face depending upon what's happening. It could be, Oh this is bad. But this, this comes back down to the data points you mentioned logs is now beyond logs. I've got tracing other, other signals coming in across the networks. So that's not, that's a massive problem. You need automation, you've got to feed the beast by the machines and you got to do it within whatever computation capabilities you have. And I always say it's a moving train hard. The Target's moving all the time. You guys are standing on top of it. Um, what do you guys think of the event? What's the, what's the most important thing happening here@splunk.com this year? I'd love to have both of you guys take away in on that. >>There's a ton of innovation in the machine learning space. All of the pipelines really that I've, I've been working on in the last year are being augmented and improved by the staff. That's developing content in the machine learning and deep learning space that's belongs. So to me that's by far the most important thing. Your, your take on this, um, between the automation. I know in the last year or so, Splunk has just bought a lot of different companies that do a lot of things that now we can, instead of having to build it ourselves or having to go to three or four different people on top to build a complete solution for the federal government or for whoever your customer is, you can, you know, Splunk is becoming more of a one stop shop. And I think just upgrading all of these things to have all the capabilities working together so that, for example, Phantom, Phantom, you know, giving you that orchestration and automation after. >>For example, if we have an EMS notable events saying, Hey, possible insider threat, maybe they automate the first thing of checking, you know, pull immediately pulling those logs and emailing them or putting them in front of the SOC analyst immediately. So that in, in addition to, Hey, you need to check this person out, it's, you need to check this person out here is the first five pages of what you need to look at. Oh, talking about the impact of that because without that soar feature. Okay. The automation orchestration piece of it, security, orchestration and automation piece of it without where are you know, speed. What's the impact? What's the alternative? Yes. So when we're, right now, when we're giving information to our EES or analysts through yes, they look at it and then they have to click five, six, seven times to get up the tabs that they need to make it done. >>And if we can have those tabs pre populated or just have them, you know, either one click or just come up on their screen for once they open it up. I mean their time is important. Especially when we're talking about an insider threat whom might turn to, yeah, the alternative is five X increase in timespan by the SOC analyst and no one wants that. They want to be called vented with the data ready to go. Ready, alert on it. All right, so final few guys are awesome insights. Walking data upsets right here. Love the inside. Love the love the insights. So final question for the folks watching that are Splunk customers who are not as on the cutting edge, as you guys pioneering this field, what advice would you give them? Like if you had to, you know, shake your friend egg, you know, get off your button, do this, do that. What is the, what do people need to pay attention to that's super urgent that you would implore on them? What would you, what would your advice be once you start that one? >>One of the things that I would actually say is, you know, we can code really cool things. We can do really cool things, but one of the most important things that he and I do as part of our processes before we go to the machine and code, the really cool things. We sometimes just step back and talk for a half an hour talk for an hour of, Hey, what are you thinking about? Hey, what is a thing that you know or what are we reading? What and what are we? And you know, formulating a plan because instead of just jumping into it, if you formulate a plan, then you can come up with you know, better things and augmented and implemented versus a smash and grab on the other side of just, all right, here's the thing, let's let's dump it in there. So you're saying is just for you jump in the data pool and start swimming around, take a step back, collaborate with your peers or get some kind of a game thinking plan. >>We spent a lot of hours, white boarding, but I would to to add to that, it's augment that we spent a lot of time reading the scientific research that's being done by a lot of the teams that are out solving these types of problems. And sometimes they come back and say, Hey, we tried this solution and it didn't work. But you can learn from those failures just like you can learn from the successes. So I recommend getting out and reading. There's a ton of literature in that space around cyber. So always be moving. Always be learning. Always be collaborating. Yeah, it's moving training guys, thanks for the insights Epic session here. Thanks for coming on and sharing your knowledge on the cube, the cube. We're already one big data source here for you. All the knowledge here at.com our seventh year, their 10th year is the cubes coverage. I'm John furry with back after this short break.

>> live from Las Vegas. It's the Cube covering magenta. Imagine twenty nineteen. Brought to you by Adobe. >> Welcome back to the Cube. Live from Las Vegas, Lisa Martin with Jeff correctly or coming to you from Magenta. Imagine twenty nineteen with about thirty, five hundred or so folks here. Big community, big open source spirit. We're very pleased to welcome from the keynote stage. Jenny Chang, The pee at PayPal. Jennie. Welcome to the Cube. >> Thank you. Thanks for having me, Lee. >> So really enjoyed your keynote this morning. We'Ll get into a lot of the specifics, but just looking at Magenta Oh, Adobe, This evolution of e commerce that's really driven by consumers. We want to have everything right on her phone as easily as possible. We went out lightning fast. Talk to us. About From what? You seen this evolution of e commerce and where we are today. >> Yeah, It's been a fascinating journey. Toe watch us move from point no sale, mood from brick and mortar Teo online and engaged. And I think as part of that, you know, you think about the amount of time you spend on your mobile phone. It's not surprising that most sites. Fifty percent of the visitors on that site are on their mobile devices, and they're staying longer. Maybe you're killing time, right? Waiting for your husband to finish something or your child to come out of class. And so we naturally tend to get on our mobile phones, and we look for things to do so that engagement on the mobile phone it becomes absolutely critical and what's been fascinating As part of the conference, we've been sharing some early results about mobile optimization. And what we're finding is, even though engagement is going up from a mobile phone, revenue is not there. >> The gap. >> Yeah, there's a big, big gaffe, and you look at that. And you think, Well, I need to figure out how to actually convert some of these people coming to my website. So we've been partnering with a lot of the Sai community here, really interest in trying to understand best practices, and it's been a fun process for almost the last year. Things that you would think would help conversion don't necessarily help. And then the very, interestingly enough, other things that you may have said well, that seems unnecessary or busy on my mobile phone are actually improving conversion. So we've been really just sharing our early results in really encouraging everyone to participate. It's free, and we want to do is really come up with best practices and really help everyone essentially convert more and get more revenue. >> There's two things that strike me. It is you say that one is just the behaviour of a mobile phone in interaction is so different. You said. It's often when you're waiting, waiting in the grocery store line, you're waiting to pick up your kid your weight. So it is a much more kind of frequent fast in and out which which we keep hearing right. You need to connect with people over time in both the ways. But the other thing, when you say the conversion is actually not as high as you would expect. But at the same time we're hearing now that the content is so much so important and having things that aren't directly commerce to drive your engagement with that client in the way of content and forums and other things. I wonder if maybe that's why the conversion is there. You're getting him there, which is great they're hanging out longer, which I'm sure is a terrific metric. So maybe they're not converting because they're engaging with that other content arm or engaging with the brand. A >> combination of a couple things and one of them tear point is, you know, for better, Worse. You're easily interrupted when you're on your mobile phone to >> just trip when >> we have you, how can we quickly get to you? Pass that point of check out right? And I think part of that is, as you know, it's if you're like me, I will. Fat finger. You know, I have a difficult time typing on my mobile device. So wanted things we talk a lot about is removing that friction. So how do you make it really easy? See right. So if you're able to store your credentials, if you're able to make it simple to check out right, that's ultimately the goal for a lot of our merchants here, which is when we've got you. We've got to capitalize on your attention right at that moment in time and make it super easy for you to convert one of things that's been interesting about the optimized kind of mobile optimization results we've seen is that what we're finding is that a lot of people, what they're looking for at that point of engagement is coupon codes and you get distracted. You'LL think Well, I'm going to buy that. But maybe I need to go look for a coupon. >> Go back to my email me >> on And so you know So there are a lot of interesting ideas that were having as a community to share. How can we do that? How can we make sure? Maybe you get your coupon code, but you don't click off and disappear and maybe forget to come back on. I notorious for doing that. I'm also notorious for putting something in my shopping cart getting distracted and walking away. And so I think a lot of it is looking at these various ways to make sure you are back and engaged. And I think this is a big part of where the journey will go with the Palmers going forward. I think we'LL be looking at now that we've got your eyeballs. Now that we've got your time, how do we convince you this is going from a browse mode? Teo actual shop mode, >> right, creating more shop, a ble moments as magenta is marketing, material says. But also to your point about simplicity, probably for even any any generation is its basic marketing. Don't deliver a great piece of content and have a hyperlink in the first sentence that's going to take your audience somewhere else. Keep me in the experience. Use enough money. What do you say? Enough of the data to where it's going from. Creepy Teo >> Magic, Right, Right, right, right. If it works, it should be magic, right? But I already bought the tent. Now I need it. I need a sleeping bag. Don't keeps his enemy tent ads, right? >> Right. But that simplicity is sort of in AP in experience. Consistency is really key. Otherwise, your point and your point. We're doing this often while we're doing something else. There's a lot of multitasking going on. Make it easier, but also use the data with these systems that you're integrated with to know exactly. I bought it sent. I don't need one, but I might need that these other things >> right, right. And I think that's really where things are moving with artificial intelligence and machine learning We're trying to understand us a shopper and be able to predict right What else? You know, Bond from the tents. Now, maybe it's time to get a low. You know, uh, camper, maybe that's your next step up, right? Maybe you move into an RV. Who knows? Right. So I think there are evolution's to that buying experience >> with other evolution. Which people is that the very beginning was the alternative payment methods, right? Not not just your basic credit card or cash. And I don't know. It's a lot of people know that you guys have venmo, which if you have kids, you know we don't have young kids. You don't know what Venmo is. I wonder if you've got a take on, you know, as these alternative methods by come up and then we're also surrounded with alternative financing types of platforms where they're not using traditional FICO scores. They're not using kind of a traditional apply get approved process. It's really dynamic on the financing side as well. >> Yeah, onto your point. So PayPal. One of our best kept secrets I like to say is that we have both Braintree and Venmo is part of our overall services and then even broader than that. What we've done is packaged up the ability to really think about alternative pay methods based on what region you're on as well, because depending where you are outside the U. S. You might actually use a completely different payment method. And I think for us in the U. S. Were not as familiar with some of these other payment options. And what it does is it really allows for a lot more cross border trade as well for our merchants as they would look and offer kind of what is most relevant again. Get to you to go from brows mode to actually check out mode and to get to that actual conversion piece. So that's one of them. And then I would say, just generally on the credit comment, we actually credit at PayPal as well. And what we're always looking at is what our other ways we can help people finance and really kind of worked through the evolution of payments. I think some of the statistics that you've probably heard related to savings in the US, especially it's a bit staggering that we have, on average, uh, majority people have less than four hundred dollars in savings there, one paycheck away. And the reality is, it's tough. That's a really, really tough. And so I think, to be able tio, have a source of credit where you could bridge that gap and, to your point, not have to go through the entire credit processes. Sara Lee I think having those options are always good. >> Talk to us about what you guys are doing with Walmart. He showed that you came here this morning that it was very interesting from a collaboration. A partnership standpoint. >> I'm very passionate about this because pay panelists overall has a mission of democratizing financial services, and I think we're very fortunate being in high tech and being in the situation. We are where we're able, Tio not be intimidated necessarily by all this new technology on all the different options out there. So the partnership with Walmart was at the end of last year, and it really was looking at How do we get people access to their papal dollars easier, Faster and we continuously see this divide between the digital on the physical realms of accessing money. And so we opened up an option partnering with WalMart for us, which is it's really easy to rip a pal out. You bring up a unique bar code, you can go into a Wal Mart store and essentially like a debit card. It debits it out of your PayPal account and the Wal Mart cashier hand. You're the catch, which is super convenient again and an easy way to get to your money if you need something immediately. So I'm really excited. Proud of that, >> he said. You launch that last year. Some of the data, the market data that demonstrated that this was a good direction, her paper out to go in to be able to open up. This is a CZ, the ability to give people more access to their dollars, whether they're online or in physical locations. >> Yeah, I think it's someone of those overall statistics. We look at a lot because we're really looking at continuously bridging our open two sided network. We've got this great merchant face twenty one million merchants and then we're at almost round track to be almost three hundred million consumers, and we can we look at the consumer side and you think about Venmo you think about papal? We really started as a peer to peer right now, right? Oh, I owe you twenty bucks for dinner last night. Let me pay, pal. You that money, let me venmo you that money. And at some point, the question becomes will. Then how do I easily access my money? How do I make sure that I have access to it again? Not just digitally, but physically. And I think when we're looking at those realms, we're looking at more options to give people that ability, that if they need to get to that cash quickly, that can get to it quickly. They don't need to worry about getting to a bank. Um, you know, I think the reality is it's easier to get to a lot of Wal Mart stores in the U. S. Then it is necessarily to every bank out there. And so I think we're constantly looking at where can partnerships really add value to our overall customer base? And as I mentioned this morning's keynote, I love when partners really can work together and it becomes truly, you know, a little bit of a trite saying. But no one plus one is greater than two scenario, and I think when you can do that, it adds so much value to both sides of the equation. That's was really exciting for me. That's why I love partners, >> but also giving cut consumer's choice. Where you think this morning in your keynote, you showed this cute picture daughter approved your girl's in that ten years ago and then today, and, you know, ten years ago you couldn't just go in on happened order groceries. Now you were saying, when you know your mom would have to get multiple stores to get what you want, and now we can get it so easily. But there's also this sort of interesting dynamic where people still want to have that physical interaction, depending on the type of product or service. So being able to give customers that choice of being able to transact it through the app online or being able to access their money, for example, your Walmart. I mean, oftentimes, if I'm running out running errands and I don't have my wallet, and I know all right, I know the stories I can use bright certain payment methods from my phone, and that's great because I had that choice. And that's something that seems like PayPal is working to facilitators meeting consumer demand. Where it is. >> Yeah, I think that's the reality of what? Where we live right now, which is our customers want us there at that point of engagement. So don't make me necessarily. Come, Teo, you I would like you to come to me and you know, for better. Worse. It is a little bit of the overall experience that they're looking for, which is to say, I've got my favorite places to either shop or engage on my mobile device. So make it easy for me. And I think that's ultimately what we're kind of looking for. I know is a working parent. I'm always looking for convenience than I've just said. I'm gonna write a book on convenient parenting like that gets work for me. >> That was part of that. We'd be a bestseller. I think parents of humans or canine think we could all use any inspect a >> furry child as well. So yes, >> I'm curious what we're going to see in the next year, too. With that conversion of actually enabling an organization to not just have a great mobile experience, whether it's with like progressive Web maps that they were talking about this morning. But it's one thing to have a great mobile experience. It's a whole other thing to convert that to revenue. So curious to see with partnerships of papal, for example, with Beno how merchants of any sides are actually able to start increasing conversion from visitor to revenue. >> And I mentioned it as part of what we're doing with what we're calling smart payment buttons. And I think that's smart. Payment button concept is really again focused on giving you options to check out with whatever is easier for you but also looking to say, Let's make it easy. So how do you do that without having to type everything again? Because if you're an avid online shopper like I'm not, it's It becomes tiresome to feel like you have to sign up at every website, or you have to enter all your shipping information again your payment information. And so I think it's really looking at How do we give you that digital wallet access so that you have the ability to make it easy? Yes, and I think that's ultimately What we're kind of all looking for is how do you make it convenient? Easy for me to do what I want to do and do what I have to do. >> Spend more of my money. Thank you so much for joining me on the Cuban. Talking about what you guys are doing. A papal with your partners with Gento, etcetera. It's very interesting. And we look forward to seeing great things to come and not focus by long Communion. Parenting? Yes. Watch out like an advance. Copy you? Yeah. Thank you. Pleasure. Okay. For Jeff Rick, I'm least Martin live. The Cube is alive. Magenta. Imagine twenty nineteen from Las Vegas. Thanks for watching.