>>Live from Denver, Colorado. It's the cube covering com vault go 2019 brought to you by Combolt. >>Welcome back to the cubes coverage of day one of convo go and 19 from Colorado. I'm Lisa Martin with Stu minimum and we have a cube alumni back with us. Arch, not van Venkatraman. You are the research manager for storage and data center for IDC. Welcome back. Thank you. Always a pleasure. Likewise, so here we are. Day one of con BOGO, lots of stuff. Nutrition's I stopped coming out in the last day and a half or so, but also lots of momentum that really kind of the dust kicked up when Sanjay Mirchandani took over the home from Bob hammer just about nine months ago. You've been covering combo for about three years. Just love to get your perspective on the last three years and what you've seen particularly in the last nine months. Yeah, yeah. Interesting. I've been tracking them for three years and they've been slowly making that pivot to the cloud world to changing how they're pricing to, you know, to really break free from that perception that they're very traditional, they're very cumbersome, they're expensive, they're trying to break through that and hiring Sanjay was kind of validation that Hey we are committed to the future and Sanjay comes from this very agile DevOps seed, open sores, containerized property worlds. >>So he, he is new culture and Sandra came in and he started, I think he started making a lot more changes. We saw that their journey to the cloud was a lot more accelerated and they're starting to talk this new language that is attracting developers. So they talk about cloud native technologies. They're talking about database and data as the bottleneck in development life cycle, which is all new music to develop us ears. And then that means you're going to bring in data management, which is a huge issue right to the developer strategy, right to the boardroom strategy. That's where it needs to be because data is actually at the heart of what companies are doing. And we keep talking about speed of fins, speed of development and speed of applications. I think it's time we start talking about speed of intelligence and speed of insights because that's what's going to give companies a competitive difference. >>And that's what Sanjay brought in in the last nine months. And I was tracking the Hedwig acquisition as well and a lot of companies, a lot of people who I spoke to here were extremely excited about what Hedwig brings into the table and there was a lot of interest in what they bring in. So I think Sanjay brought in a new culture to come ball and he cemented that new culture with Hedwig because with Hedwig they acquired that new startup culture as well. So it's really coming together of a lot of new culture and that's going to overpower the old culture and going to bring a lot transformation within. >>So as arch and I, but I'd love to get your insights into how that that changed and you said, right. Do you know Sandra came from puppet? We talked to them earlier today about moving faster and CIC D and all this wonderful things. But how that aligned with customers. We talked to customers that are seven or 10 years working with convolve inside the organization. You know the person that owned the backup and recovery process, you know, how familiar are they with their developer team and how that's coming together in an organization. So is Convolt meeting the customers where they are? Are they skating to the puck? How does that alignment? >>Yeah, yeah, absolutely. It's, it's imperative that come moved and a lot of traditional data protection vendors move because customers are moving as well and they are forced to move because they are seeing lot of onslaught of data. Data's corporate data is growing 50 to 60% every year. That's just business data. So they're grappling with data growth and they're expected to do more with less and data is fragmented everywhere. So they are forced to make that change as well. So they are employing data protection officers, but at the same time they're also employing data scientists and newer data model architects to do new things with data because they are under pressure to deliver that better customer experiences. So companies are going through that change and we, in August we did a research and asked organizations, are you happy with your existing data protection tools and are you going to change it? >>And interestingly, 60% of those who are operating in multicloud environments want to change their data protection environment. And that shows because until now there was this huge power of incumbency, right? I will, I'm okay with this, I'll probably buy the next version of this and try and do iterative improvements. But now companies realize that this data growth and fragmentation and multicloud environment represents a new frontier and they need to move from this thinking that they've had and they're willing to change and work with the newer kind of companies that provide them what they want around unification and simplification. >>Yeah, I think you brought up some great points there. We've found when we talked to customers, they seem to be more open than ever to try something new. I kind of wonder if that's why metallic almost has a separate brand, a separate web website. It is a Convult venture because you know Combalt has incumbency and it has a pedigree. But if I'm trying something new, Convolt might not be the first one that I think of. >>Yeah. So today was the first time I heard about metallic and there is some, I love the branding and there's so much of gloss and shines, I need to get behind the gloss and shine. But I've seen that was one of the busiest places that we have seen today in the exhibition. And that shows commitment to the, it's, it's, it's, it's, they're entering the SAS world and they're talking that cloud likes scalability and it's also more than applications. They're talking about the pricing is a like consumption base, that cloud language and it's going to propel them along the way. And your perspective as customers that you talk to in any industry have so much choice. You're saying, Hey, the customers are recognizing in this multicloud world in which they find themselves operating. We've gotta be able to change our data protection strategy. I imagine things like the rise in cyber attacks or GDPR or the new law in California. >>That's coming are some compelling events. But when customers look at the landscape, and as was saying, they're so much more open to maybe trying new vendors, for example, how does Combalt part, you know, significant part and combat maybe new part with Hedvig and with metallic as a sort of this startup within combo. How did they elevate and differentiate themselves in your opinion, in a competitive landscape? Interesting. Yep. So when you look at startups, they have a lot of agility, but they're not able to bring that enterprise grade skill. Excuse me. And if you look at a lot of traditional vendors, they have that scale and enterprise grade guarantees, but they don't have that agility. But with this initiative, they've done some clever things and brought agility and skill together. That's their differentiator to see no, grab some water, we'll talk for a second. You probably even taught all day. >>That's the hazard, right, of going to these events is your voice, especially with the altitude. But, but as, as we've seen other large incumbents do the same thing. Absolutely. Everyone's pivoting to the same. It is. But also integration of technologies is not easy. Right. And that's sort of the table stakes is how are they, for example, going to integrate Hedvig such that one had bigs installed. ACE has a smooth, seamless transition and this opens up more opportunity for them and vice versa that that Combolt's install base now has more opportunity. Talk to us about what you've seen. They talked a little bit yesterday about some of the integration connections that they've made so far, but that's really key because a lot of companies don't do integrations. Well yeah, there've been some big acquisitions and they do integrations for years and years, right? It's been just 13 days since the acquisition closed. >>So it's still early days, but they need to keep that momentum up and I see a lot of synergy. So bringing storage and data management together is a good idea. But at the same time, I heard Sanjay alluded to it on the stage as well, where they're talking about application and data and moving away from that infrastructure. Right. And that that view is very important because companies need to move from protecting data centers to protecting centers of data. That's what they need to think about. So they need to abstract from infrastructure, but which is why when you look at it all though it's software defined storage. The language that they use is very clever. They're talking about APIs, they're talking about newer workflows, they're talking about changing business processes, they're talking about enabling data, they're talking about controlling data and using it data, using data for insights. >>So they're putting in a lot of newer perspective to this infrastructure view and taking a software defined container defined API defined view, and that's kind of very, very modern. I think that's going to bring a huge amount of difference. So thinking about some of the customers that you've spoken to will say in the last year that are either using Combolt or evaluating combo, some of the positioning that you just talked about to kind of very interesting, but I presume quite strategic with how they're talking about protect, use, manage control data. Are you hear from Comvalt are you hearing and seeing this is what I've been hearing from customers, is there an alignment? Are you hearing from custom what you heard from customers? I'll start over like in the last year, what combat is now delivering and the messaging that they're articulating. Are you now, are you seeing alignment like they're going in the direction that I'm hearing with what customers are wanting. >>He has, the customers are grappling with multicloud data services, so it's not just data protection but they need to get visibility of data across their, all the data sets across the board that they're challenged not just with structured data but growth in unstructured and semi-structured data as well. So they need to look at newer kinds of storage like object storage and all that. So they are grappling with newer kinds of challenges and that's why this new language is going to be hugely useful. And that's why this coming together of storage and data management can actually make a big difference because together they can paint a picture for the organization and tell them these are the challenges you're grappling. You don't need to buying different solutions from different places and buy it and bring it all together. We have deeper level of integration and we can solve it and convert. >>We'll be able to get to the customer at the storage level before they hit the customer, hits the data management problem and then starts hunting for a newer solution. So they're getting in early before the problem actually becomes an operational issue and that the Hey red, they are ready with the solution when the customer gets there. You might, you mentioned data visibility a minute ago and that's critical, right? For organizations that are, whether it's a smaller organization or one that's heavily matrix, if you don't have, and a lot of them don't have visibility into all of the data. Something that you talked about in the very beginning of the interview, that speed of intelligence and speed of insights, it can't take advantage of that. Yeah, yeah. Yes. So companies are investing into a lot of data scientists. But then so, so I was talking to actually three, I was doing a CIO executive dinner on this whole topic about data driven. >>And then so some of organizations, some of the CIS put their hands up and said, Hey, we have actually employed new data scientists. These data engineers and data scientists don't come cheap, right? They're very heavily skilled, talented, talented professionals. So you employ them. And now we're working backwards. Now we are trying to do what we can do with the data models and there's so much problem we are facing. We don't know what data is good data to be analyzed, what data we can delete, what data is cold data that we can send to archives and what do we need to, what are the use cases that we need big data analytics for? So they're working backwards and they're not able to leverage and capitalize on all the resources that they've spent on hiring these kinds of data scientists and data engineers. So I think they need to start that. Organizations need to get a hygiene about their data first and then take the next step around analytics and hiring these kind of data scientists is the first step. Sorry >>are tryna just, I was curious if you could comment on a statement that Sanjay Mirchandani made this morning. He says we need to rethink the kind of the lines and into definitions between primary and secondary storage. What do you think of that statement and where do you think vault ultimately will fit in the broader marketplace? >>You's quite aligned with what I see when I talk to customers as well. So, so companies, data is growing and it's fragmented, but at the same time the lines between primary storage and secondary storage are blurring as well. So the data that's cold today may be hot data tomorrow. So they need to understand, get visibility into data. Just 10% of data is hard data today. So that data needs to sit in the most expensive storage environments. They can leverage it and the rest needs to be, needs to go into tiered, into other colder storage, cheaper alternatives. But at the same time, when you want to access that data, it should not be difficult because now when you push it to a cloud archive your, that's your archive and be damned, right? You're not going to get that data back on in the format you want at the time you want, at the cost you want. So you need to make sure that you invest in storage technologies and you make that data tiering in such a way that when that called data is suddenly becoming warm data or hot data, you need to have access to it instantly in the format you like. Archna thank you for sharing your insights and recommendations and just your view on the industry and combat. We appreciate your time. No problem at all. Thank you very much. First, zoom and a man. I am Lisa Martin and you're watching the cube from combat go 19.

(upbeat instrumental music) >> Narrator: From our studios in the heart of Silicon Valley, Palo Alto, California, this is a CUBE Conversation. >> Hey welcome back everybody, Jeff Frick here with theCUBE. We're in our Palo Alto offices for a CUBE Conversation today. We're going to talk about an interesting topic. You know as all these applications get more complex and they're all Internet based. I'm sure you know that feeling when you're at home and you lose your Internet power you pretty much can't do much of anything. So what can we do about that? Who are some of the companies that are working on this problem? We're real excited to have an innovator in this space from ThousandEyes. She's Archana Kesavan, Director of Product Marketing for ThousandEyes, welcome. >> Archana: Thank you Jeff, it's good to be here. >> Absolutely, so this is crazy. Give us kind of the run-down on ThousandEyes and what you do and then we'll jump into it. >> Sure, so ThousandEyes is a company that provides and enables enterprises. Gives them visibility into how the Internet is impacting end-user experience, right? When you think of it, of what users are, what this user experience is, it could be twofold. One is if you're an enterprise providing a digital service then they're your customers, right? So that customer experience we provide visibility into that. Then also if you're an enterprise moving towards using cloud applications or SaaS applications, employees using those applications, we provide visibility into that space as well. Really the thought and the idea behind ThousandEyes and the reason we are here is as enterprises are moving to the cloud and relying on this Internet-based delivery infrastructure, they're are starting to lose visibility into their critical customer-facing and employee-facing applications. What ThousandEyes does is it gives them back that control by giving them that visibility into that environment. >> Okay so then just to be clear because there's a ton of kind of monitoring applications, we use the Sumo Logic, we do Splunk. So there's a lot of things around operations where they're monitoring these apps, and they're super complex apps. But your guys main focus if I understand, is the network. The network piece and the transportation of that app across the wire. >> Right, let me unpack that and explain with an example, right. Let's think you're an enterprise that's moving towards Office 365 and you have a global workforce, right? Your users are connecting report and your VP of sales happens to connect from a Starbucks or a Philz because we're in Palo Alto. Can't download emails, can't get to emails. What's the first step this person or this employee's going to take is call corporate IT and say hey, I can't get to my emails. Now it's up the the corporate IT team to go and troubleshoot that scenario, right? Because if you can't get to your emails or you can't get to these collaboration apps today it's productivity down the hill. The IT team now starts troubleshooting it and where do they start? Is it the WiFi at the Philz that's a problem? Is it Microsoft that's a problem because which I can't get to my email. Or is it that access in between which is the Internet, right? How do you get from a Philz all the way to Office 365 is through that Internet transport. So where we come in is irrespective of the application or even the network, right, we've very agnostic to it. And we combine application performance all the way to the network performance. We take it one step further and we see how the Internet is impacting the services throughout. Because what we see is our customers be that in enterprises consuming SaaS, or enterprises delivering these SaaS services, the production teams and the corporate IT teams they feel the brunt of this every day. They have people calling and say hey, I can't get to this, I can't get to that application. They have their own customers complaining that something's wrong. Unfortunately in this world of the Internet and the cloud, while it's enabled convenience and flexibility they've traded in that for control and visibility. So if you again go back to this Office 365 example that I was just talking about, the enterprise does not own the WiFi in force. It does not own the Internet. Not one entity owns the Internet. It doesn't own Office 365. So monitoring tools that have existed and that have been in place to understand issues within the four walls of an enterprise flatline when it comes to Internet-based delivery and connectivity, which is where we come in. >> What about VPNs, because isn't kind of the purpose of a VPN on one hand is to be secure 'cause Lord knows who's sniffing on the Philz WiFi. But does that not put you into kind of a higher grade Internet line back to the server to get to my email? >> Archana: Is anybody using VPN these days? >> I hear the ads all the time on the radio. (laughing) I don't know, that's a good question. You guys are sitting on there, are people not using VPN? Does VPN solve their problem? Or is it something that's in the backside that regardless of whether you're using VPN or not these are kind of back hall issues that have to get worked out? >> So VPN, if you think about it, it's kind of an encapsulation over the underlying network. You still have to move packets through this network. So you might be connecting through a VPN, but it's the underlying, if you're going through the Internet than that can result in performance degradation, too. So irrespective of these techniques that enable, or so-called enable, performance and make performance better, you still need to know how the transport's behaving and how it's influencing performance just because you don't control it. >> And as I understand, the way you guys are doing this is you have a lot, a lot, a lot of monitoring points all over the place, hence ThousandEyes. Tell us a little bit about kind of how that works, what's the network? How has that been growing over time? >> We've been growing our infrastructure, monitoring infrastructure, over the last few years. The way ThousandEyes gathers its data which you know all the way from the application layer to the network, kind of then looking at Internet performance is our fleet of agents are distributed, are pre-deployed in about 185 cities around the world. We call them Cloud Agents. Now these agents are actively monitoring the services that might be of interest to an enterprise. You can also take a form of these agents and enterprises can deploy them within their own branch offices and their data centers. You can also use them in cloud providers. We actually have agents pre-deployed in AWS, Azure, Google Cloud, and Alibaba too, which we recently announced. You can use these agents to monitor applications. You can use these agents to monitor your API endpoints which is another growing area that we see. So, fleet of our agents distributed. You can use that, a combination of agents that we own and pre-deployed along with agents that enterprises would like to put in their own infrastructure. >> Right, so you've got the ones already out there, you've got the ones in the clouds and then I can put some additional ones into my remote offices or places that are of interest to me. So if there's an issue because you said for tech support when the person can't get into email there's a whole host of potential things it could be, right? Office 365 could be down, there's all kinds of things. How does your application communicate to this poor person on the end of this service call that hey, it's a network issue between these two points? Or maybe it's a big exchange that's getting attacked like happened on the East Coast a couple of years ago. How did they work that into their triage so they know hey, we've been able to kind of identify that this is the issue not one of the other 47 things that's impacting that application? >> Right so we are a SaaS-based product. Our uniqueness and our secret sauce is how we look at all of these different layers that affect performance and we correlate them, visually correlate them in a time sequence. We present it to the corporate IT person or a production IT person who is actually triaging this issue. We help them very quickly pinpoint. It's very visual there. You can see how application performance ebbs and flows. You can look at what does a network pack look like? If I'm seeing an outage of the Internet service provider we're going to call that out. Obviously all of this is tied in with an alerting system which the platform enables as well. I think one of the most interesting changes that's happening in the industry is in the past when you found an issue, you could fix an issue because the chances are you owned that entire environment, right? It was a router that failed or a switch was dropping packets. You owned that switch, you owned that router. You could go and make changes to it. But in today's Internet-dependent and cloud-heavy environment, it's more about having the right evidence so you can escalate it to the right person. So knowing which neck to choke is absolutely critical in this distributed environment that enterprises are losing control over slowly. >> So the people start to make active changes in the way they route their traffic based on what they find? Is there either consistent good or consistent bad behavior in certain networks or certain public clouds that you can get a better latency performance by switching that? >> Sure, we've seen cases where usually enterprises have, let's take an example of an Internet service provider having an outage. Usually enterprises for redundancy they have two upstream providers, for instance, and they're probably load balancing traffic equally across these providers. Once ThousandEyes detects that one provider is completely down, could be a routing issue, could be a router failed within their environment. Once we alert them it's up to the enterprise to make that decision saying hey, we want to bypass this route, right? And we've seen that happen in a lot of cases. They do bypass routes if it's possible. It also depends on the severity of the issue, how long the issue lasts and things like that. But that definitely happens. >> You guys talk about a concept called Internet-aware Synthetic. What does that mean? >> Synthetics, it's interesting as a term. What it really means is trying to mimic something that's natural. Just the term synthetics in layman's language, right? Synthetic monitoring is really just that. While you're trying to understand application performance or how a website performs, synthetic monitoring replicates how a user would interact with that application. You replicate those steps and you periodically repeat them over time. Let's take an example. You're shopping online, you're going to Amazon.com. You're searching for whatever it is you're searching for. You get a list of results. You are interested in one item, you look at a review, you seem happy, you move it to your checkout, pay and move on, right? Those sequence of steps is what synthetic monitoring can actually craft. We keep executing those steps periodically so you can understand if there's any degradation of performance, has it slipped from baseline? So IT operations team can use that to understand if there's any change that's happening or if there is a particular area in the world where users are starting to see degradation and so on. The nice thing about synthetics is it's proactive. There's a lot of monitoring techniques out there that looks at real user interaction with the website. And to typically do that you need to insert a piece of code within the application itself that tracks that user's activity. That's great information. You want to see what your users are really doing and engaging with your website. That's very useful but it fundamentally doesn't tell you if performance is completely degraded or the checkout button's not working, for instance. That's where synthetic comes in. >> So is that the primary way that you maintain kind of this testing of the health of the network? Or are you using more of a passive, waiting for something to be slow and then running something like the synthetics to try to figure out where it is? >> The recommendation is to keep synthetics running constantly because you don't want something to slow down and then react. That's a very reactive approach. Really in today's digital economy you don't want an outage to last too long because customer loyalty is fleeting. You don't want even 10 seconds of wait time, right? The way I see it is every time I try to find a cab through Uber, if Uber makes me wait 30 seconds I'm moving on to Lyft. I don't have the patience to wait that long. You don't want outages to prolong so you definitely don't want to understand performance after they have degraded, right? So synthetics recommendation is to continuously monitor so you can find out what's happening and if there's any drift from required baselines. >> Okay and then are you running that concurrently across a number of geographies for the same customer? Because if this same shopper's sitting in Seattle versus if that same shopper is sitting in Mexico City or they're sitting in London are you running that concurrently to make sure that you're checking all the different potential hiccups? >> Our agents, because they are so pervasive across the globe you can pick an agent in one of those 185 cities and you can execute those same sequence of steps over time to actually run that. Now synthetics as a technology is not new. It really predates the cloud. The action of mimicking a user journey through a website, that really predates the cloud which is why it's fundamentally broken when it comes to these cloud and Internet-heavy environments. What we introduce, ThousandEyes Internet-aware Synthetics tries to take this age-old technique and tie that together with how the network and how the underlying Internet performs. So when you're looking at performance you're not looking at it in a silo. Because that's the other thing we hear all the time from our customers. Like the application team has blinders on. They're wanting to see if anything's gone wrong at the application. The network team has its own blinders on wanting to see if anything's gone wrong with the network, right? And usually what's happening is if they figure out it's not an application issue then they punt it over to the network team. The network team says ah, not my problem, you take care of it. So there's this constant finger-pointing that happens in today's environment. This pain has really gotten worse in the era of the cloud and Internet-based deliveries because guess what? Your application is first of all split into these microservices. The number of API calls that you are making has gone up, right? And all of these components don't sit in the same place. You're probably running into a hybrid infrastructure environment where some pieces of your code resides in your data center, the other may be in the cloud. Or you're making API calls which is resulting in a multi-cloud scenario. And what is it that's connecting all of these different environments is the actual network and the Internet. So understanding just hey, my app is down, is not good enough any more. You need to know my app is down, it's down because the Internet is causing problems for instance, right? So what ThousandEyes Internet-aware or network-aware Synthetics does is we look at performance right from the application stage, look at all those transactions see if they are run correctly or not. We tie them into how the underlying network is performing. And hey, if the Internet is causing issues we tie that into in a single correlated pin. So you're looking at one single platform and you're able to pinpoint quickly. You gather the evidence to escalate it to the right person. And at the same time you are bringing the application and the network teams together so it's more collaboration. It's not finger-pointing. Then that's what we really want to enable and what most of our customers actually do with ThousandEyes. >> Before I let you know I want to dig into the Alibaba announcement a little bit more. China is a special challenge on the Internet space. We've done some work over there and none of the Google services work and we use a lot of Google services. How did that come about? Is this a new growing area for you? I would presume there's all kinds of demand from the customers to try to get a little bit deeper penetration into that marketplace. >> China definitely is an interesting space. I mean because of the great firewall and all of the techniques China implements, performance is known to be relatively suboptimal in that region. Fortunately or unfortunately it's the fastest growing market, too. So enterprises want to invest in China. We're seeing a trend where they are moving their services to Ali Cloud. What does that mean for enterprises? You need to monitor that environment, too. Which means you want to understand how performances from Ali Cloud to Ali Cloud and so on. What we did recently is we increase our vantage points within Ali Cloud. Now you can look at user experience for users connecting from all around the world into Ali Cloud. You can look at API performance going from Ali Cloud to GCP or AWS, right? I think the key point to remember is that not just in China, but across the world not all cloud providers are created equal. We found some very interesting data for traffic between Beijing and Singapore, Ali Cloud performed relatively better, no surprises there. But AWS has relatively high performance. Same user from Beijing to AWS's data center in Singapore, they had a very circuitous route to get to Singapore. They were going from China to Tokyo to Singapore. During peak times, eight a.m. to eight p.m. Beijing time there was a lot of fluctuation showing some kind of congestion in the network, right? Ali Cloud we didn't see that. Understanding cloud provider performance is absolutely critical. What we do is our vantage points enable enterprises to do that. One of the initiatives that ThousandEyes we've been doing for a couple of years now is do a comparison of all these providers, AWS, Azure, and Google Cloud, and Ali Cloud now. Last year we had our first report, it's called a Public Cloud Performance Benchmark report that compared AWS, GCP, and Azure. This year we're expanding it to Ali Cloud as well. So that's launching in November so it's going to be interesting to see. >> Jeff: A lot of people will want to see that one. >> Yes, it's going to be interesting to see who performed better and where. It's always good information. >> Jeff: I was going to ask you if you could share, but I didn't want you to give away any secrets. But I guess we'll have to wait 'til the report comes out. >> Yes, mid-November it's going to be there. >> All right Archana, we'll look forward to that. I'm sure it will be more variable than what most people expect. >> Archana: We'll see. Thanks for having me, Jeff. >> Thanks you very much. All right, she's Archana, I'm Jeff, you're watching theCUBE. We're in our Palo Alto studios having a CUBE Conversation. Thanks for watching, we'll see you next time. (upbeat instrumental music)

>> from Boston, Massachusetts. It's the queue covering active eo 2019. Data driven you by activity. >> Hi. We're right outside of the Boston Haba. You're watching >> the cube on stew Minimum in. And this is active Geo data driven. 2019 due date. Two days digging into, You >> know, the role of data inside Cos on, you know, in an ever changing world, happy to welcome to the program of first time guests are China Oven countrymen who's a research manager at I. D. C. Coming to us from across the pond in London. Thanks so much for joining us. Pleasure. So tell us a little bit. I d c. We know. Well, you know, the market landscapes, you know, watching what's happening. Thie said it 77 Zita bites that was put up in the keynote. Came came from I D. C. Tells you you're focused. >> Yeah, so I'm part of the data protection and storage research team, But I have, ah, European focus. I covered the Western European markets where data protection is almost off a neurotic interest to us. So a lot of our investment is actually made on the context of data protection. And how do I become data driven without compromising on security and sovereignty and data locality. So that's something that I look at. I'm also part of our broader multi cloud infrastructure team on also develops practice. I'm looking at all these modern new trends from data perspective as well. So it's kind of nice being >> keeping you busy, huh? Yeah. So about a year ago, every show that I went to there would be a big clock up on the Kino stage counting down until gpr went way actually said on the Q. Many times it's like we'll know when GPR starts with lawsuits. Sister and I feel like it was a couple of days, if not a couple of weeks before some of the big tech firms got sued for this. So here we are 2019. It's been, you know, been a while now since since since this launch. How important is GDP are you know what? How is that impacting customers and kind of ripple effect? Because, you know, here in the States, we're seeing some laws in California and beyond that are following that. But they pushed back from the Oh, hey, we're just gonna have all the data in the world and we'll store it somewhere sure will protect it and keep it secure. But but But >> yeah, yeah, so it's suggestive. Here is a game changer and it's interesting you said this big clock ticking and everybody has been talking about it. So when the European Commission >> announced repairs >> coming, organizations had about two years to actually prepare for it. But there were a lot of naysayers, and they thought, This is not gonna happen. The regulators don't have enough resources to actually go after all of these data breaches, and it's just too complicated. Not everyone's going complaints just not gonna happen. But then they realised that the regulators we're sticking to it on towards the end. Towards the last six months in the race to GDP, and there was this helter skelter running. Their organizations were trying to just do some Die Ryan patch of exercise to have that minimum viable compliance. So there they wanted to make sure that they don't go out of business. They don't have any major data breaches when Jean Pierre comes a difference that that was the story of 2018 although they have so much time to react they didn't on towards the end. They started doing a lot of these patch up work to make sure they had that minimum by the compliance. But over time, what we're seeing is that a lot off a stewed organizations are actually using GDP are as to create that competitive differentiations. If you look at companies like Barclays, they have been so much on top of that game on DH. They include that in their marketing strategies and the corporate social responsibility to say that, Hey, you know our business is important to us, but your privacy and your data is much more valuable to us, and that kind of instantly helps them build that trust. So they have big GDP, our compliance into their operations so much and so well that they can actually sell those kind of GPR consultancy services because they're so good at it. And that's what we are seeing is happening 2019 on DH. Probably the next 12 to 18 months will be about scaling on operational izing GDP are moving from that minimum viable compliance. >> Its interest weighed a conversation with Holly St Clair, whose state of Massachusetts and in our keynote this morning she talked about that data minimalist. I only want as much data as I know what I'm going to do. How I'm goingto leverage it, you know, kind of that pendulum swing back from the I'm goingto poured all the data and think about it later. It is that Did you see that is a trend with, you know, is that just governments is that, you know, you seeing that throughout industries and your >> interesting. So there was seven gpr came into existence. There were a lot of these workshops that were happening for on for organizations and how to become GDP. And there was this Danish public sector organization where one of the employees went to do that workshop was all charged up, and he came back to his employer and said, Hey, can you forget me on it Took that organization about 14 employees and three months to forget one person. So that's the amount of data they were holding in. And they were not dilating on all the processes were manual which took them so long to actually forget one person on. So if you don't cleanse a pure data act now meeting with all these right to be forgotten, Andi, all these specific clauses within GPR is going to be too difficult. And it's going to just eat up your business >> tryingto connecting the dots here. One of the one of the big stumbling blocks is if you look at data protection. If I've got backup, if I've got archive, I mean, if I've taken a snapshot of something and stuck that under a mountain in a giant tape and they say forget about me Oh, my gosh, Do I have to go retrieve that? I need to manage that? The cost could be quite onerous. Help! Help us connect the dots as to what that means to actually, you know, what are the ramifications of this regulation? >> Yeah, So I think so. Judy PR is a beast. It's a dragon off regulations. It's important to dice it to understand what the initial requirements are on one was the first step is to get visibility and classified the data as to what is personal data. You don't want to apply policies to all the data because I might be some garbage in there, so you need to get visibility on A says and classified data on what is personal data. Once you know what data is personal, what do you want to retain? That's when you start applying policies too. Ensure that they are safe and they're anonymous. Pseudonym ized. If you want to do analytics at a later stage on DH, then you think about how you meet. Individual close is so see there's a jeep airframe, but you start by classifying data. Then you apply specific policies to ensure you protect on back up the personal data on. Then you go about meeting the specific requirements. >> What else can you tell us about kind of European markets? You know, I I know when I look at the the cloud space, governance is something very specific to, and I need to make sure my data doesn't leave the borders and like what other trends in you know issues when you hear >> it from Jenny Peered forced a lot ofthe existential threat to a lot of companies. Like, say, hyper scale. Er's SAS men does so they were the first ones to actually become completely compliant to understand their regulations, have European data data hubs, and to have those data centres like I think At that time, Microsoft had this good good collaboration with T systems to have a local data center not controlled by Microsoft, but by somebody who is just a German organizations. You cannot have data locality more than that, right? So they were trying different innovative ways to build confidence among enterprises to make sure that cloud adoption continues on what was interesting. That came out from a research was that way thought, Gee, DPR means people's confidence and cloud is going to plunge. People's confidence in public cloud is going to pledge. That didn't happen. 42% of organizations were still going ahead with their cloud strategies as is, but it's just that they were going to be a lot more cautious. And they want to make sure that the applications and data that they were putting in the cloud was something that they had complete visibility in tow on that didn't have too much of personal data and even if it had, they had complete control over. So they had a different strategy off approaching public cloud, but it didn't slow them down. But over time they realised that to get that control ofthe idea and to get that control of data. They need to have that multiple multi cloud strategy because Cloud had to become a two way street. They need to have an exit strategy. A swell. So they tried to make sure that they adopted multiple cloud technologies and have the data interoperability. Ahs Well, because data management was one of their key key. Top of my prayer. >> Okay, last question I had for you. We're here at the active you event. What? What do you hear from your customers about Octavio? Any research that you have relevant, what >> they're doing, it's going interesting. So copy data management. That's how active you started, right? They created a market for themselves in this competition, a management and be classified copy data management within replication Market on replication is quite a slow market, but this copy data management is big issue, and it's one of the fastest growing market. So So So they started off from a good base, but they created a market for themselves and people started noticing them, and now they have kind of grown further and grown beyond and tried to cover the entire data management space. Andi, I think what's interesting and what's going to be interesting is how they keep up the momentum in building that infrastructure, ecosystem and platform ecosystem. Because companies are moving from protecting data centers to protecting centers of data on if they can help organizations protect multiple centers of data through a unified pane of glass, I have a platform approach to data management. Then they can help organizations become data drivers, which gives them the competitive advantage. So if they can keep up that momentum there going great guns, >> Thank you so much for joining us in Cheshire, sharing the data that you have in the customer viewpoints from Europe. So we'll be back with more coverage here from Active EO data driven 2019 in Boston. Mess fuses on stew Minimum. Thanks for watching the Q. Thank you.

>> Narrator: From theCUBE Studios in Palo Alto in Boston, connecting you with thought leaders all around the world, this is a CUBE Conversation. >> Hi, I'm Stu Miniman and this is a CUBE Conversation, I'm coming to from our Boston area studio. Happy to welcome to the program, Angela Medina. She is the director of product marketing at ThousandEyes. Thank you so much for joining us. >> Thanks for having me Stu. >> All right, so Angelique, we get to dig into some research, a new report, it's set up to be annual, the 2020 Internet Performance Report. Of course, internet, like everything else in 2020, things are a little bit different. So help us understand a little bit the purpose of this report and what led to its inaugural incarnation. >> Yeah, absolutely. So it's really interesting. So about the March period, when suddenly there were shutdowns in the US and other regions, and a lot of the workforce was working from home, we started to get a lot of inbounds from our customers and other interested parties about how the internet was holding up. So there was systemic network degradation, are the operators able to handle all of this traffic and these pretty significant traffic shifts. So in responding to this, we decided to put out or make public our outage detection capabilities. So we put out an outage hub and this was back in May, and it basically shows ongoing and recent disruptions, so that's overlaid on a map and you can see where outages are taking place and which networks they're taking place in. So, that's been out for a few months, but we wanted to look at not just outages in real time, but historically as well. So, in looking at the last few months from January through the end of June, that's a really interesting time capsule because we can look at how networks perform and behave, not just under normal conditions, so maybe January and February, but also highly abnormal conditions. So it's a very interesting way to understand how the different types of network operators perform, given what we're enduring right now. >> Yeah, It's fascinating to me if you've watched the networking industry Angelique, normally these kinds of changes in networking are things that we measure in years if not a decade. I remember it felt like it was at least 10 years we talked about the mega trend of North-South to going East-West, how virtualization was changing everything. And of course in 2020, it's all of a sudden, all right, everybody work from home, everybody's home internet is going to be stressed. So help us understand a little bit how much of that is a blip that we saw over a very short period of time and what the resulting output is. >> Yeah, it was really interesting because beginning in... I mean, there are always a certain level of disruptions. Disruptions are just a part of operating a network. Occasionally you're going to have a little bit of downtime, stuff breaks, but in March we saw a pretty dramatic spike, particularly in North America and Asia pack. The level of disruptions, the duration of the disruptions and the scope of them. So more infrastructure impacted was pretty significant. So it was something like a 66% increase globally. And this did start to go down in subsequent months, so we're at a point where it's not quite back to January, February baseline, but it's pretty close. So we definitely saw an increase, but it seems to have stabilized as in a lot of areas, traffic has plateaued or normalized. >> And when you talk about the internet, of course, the internet is made up of lots of devices and lots of companies. What particularly is interesting there, if you look at some of the internet service providers out there, if you're look at companies that are doing remote contact centers, are you able to see a heat map or some of the areas that might have been under more stresses and strain? >> Yeah, absolutely. So we're looking at it not only from a geographic standpoint, but we're also looking at different network types. So we're defining the internet fairly broadly, not to just be connectivity as a service providers like your broadband providers or your transit providers, but also cloud networks networks. Cloud networks these days are really an extension of the internet. So we're also looking at their performance and how they held up as well as the networks of really key services like CDN providers, content delivery network providers, as well as DNS. So the collection of these networks is really what is the foundation of what most people think of as the internet. >> Yeah, it's the thing that we've been saying for a number of years is if traditionally you were somebody that managed the network, it used to be something that you would touch. And now, of course, most network operators, you are responsible for a lot of things that you don't necessarily touch. I'll give the disclaimer of course, anybody watching, Cisco has made the announcement to acquire ThousandEyes of course, the gorilla in the networking world. We look forward to talking about that more once the deal is completely closed. So Angelique, how are the cloud providers doing? How are end customers reliance on all of these various services? How are things holding up? >> Yeah, I mean, you bring up a really good point about the fact that a lot of enterprises have dramatically transformed or are in the process of transforming themselves where they're now so dependent on external services like cloud providers, like provider networks, more internet service providers, as opposed to managed services. So overall, there hasn't been any kind of systemic breakage across all of these providers, but really the devil is in the details. Oftentimes you might have issues where there might be of an increase in disruptions, or you can't quite pinpoint where the source of an issue is. So really being able to see into these external services and understand how they're performing and have that visibility so you can communicate is really important if you're going to be successful operating in this new IT reality. But in terms of how the different providers perform, how providers are vastly more reliable than internet service providers, probably for a number of reasons having to do with how they've built their networks. They're software defined, they're not as dependent on the underlying infrastructure. So they have much newer networks too, less technical debt, for sure. >> Anything specific when you look at the data over time, are we through the biggest shift in what's happening in more of the ripples now, or have things settled out a little bit, I guess, since some of the initial shocks? >> Yeah, so it varies by provider and region. If just think about the United States or North America. So in North America, we definitely have seen that the number of disruptions have come down over the last couple of months. And we're at a point we're really only about 20% off from what we were seeing in January and February, but cloud provider disruptions haven't quite returned to earlier levels. So they're still on the upswing. So it will be interesting to see where that goes, if that continues, or if that eventually starts to plateau and then decline. But they're going in different directions in North America, disruptions are up, but ISP disruptions are down. >> All right, maybe, could you explain a little bit, what does it mean by an outage? Actually, I pull up right now, the internet outage map which you have on your website and there's these scary, glowing red circles, but you and I are connecting from across the country, obviously using the internet to be able to do videos. So just because there's red glowing lights doesn't mean that we don't have internet access. >> Right, right. I mean, so just in terms of what an outage is, an outage, as we define it, is where there is a hundred percent packet loss within a provider's networks, so traffic is effectively terminating at an interface within the infrastructure of a provider. And so when that happens, we'll flag it. And this is based by the way, on billions of network probes that are sent over the internet using our platform each day. That's how we effectively derive these measurements. And when we see these disruptions, again, we'll flag them and to your point, yes, big, glowing outages on a map, but you know, you're right, not all of them were necessarily going to be disruptive to users for a number of reasons. One of the earlier points you brought up is that the internet is made up of thousands of independently operated networks. It's not like a utility, so you may go through a provider that's having an issue when you may not and that can change dynamically depending on where you're connecting to and what service you're trying to reach. It gets very complicated. >> Is that so? Yeah, so I'm curious one of the biggest challenges out there is that companies have to rapidly make changes. Whether it is adopting cloud services or getting ready remote call centers or the like, are there anything that they can take from the survey data or these maps as to how should I plan things? How should I make these changes? What can practitioners learn from this? >> So I think it's important to understand how do operators, what are their habits and practices, depending on where you're located and we've seen regional differences. So for example, in the US, with internet service providers, they tend to have disruptions that are taking place outside of traditional business hours. So less disruptive, more likely to be due to a maintenance window, change that they're making, versus other regions where many more of these disruptions are taking place at times that might impact a business. So understanding how different providers vary in terms of their practices, gives you an opportunity to have that conversation with providers to hold them accountable and to work collaboratively with them so that you understand when are they going to be making changes. If there are increases in traffic, maybe you have some resiliency measures in place because you know that the operators might be a little bit stressed responding to these increases in either traffic or changing traffic patterns. >> All right, are there any other key takeaways that people should take from this new report? >> Yeah, I mean, I think, one of the key things is that not every outage is created equal. Not all providers are created equal. I mean, they really do vary. Whether it's the fact that the cloud providers have significantly fewer disruptions within their network. Some countries that we've seen have not really been impacted in terms of traffic increases while others have. It really can depend. And so the only way for you to know how your provider is performing or how the key services that you rely on are performing is to have visibility because these days, very often, you don't directly own or manage it. So the only way to ensure that you're getting performance that you need, is to have insight. >> All right, in addition to the report that's coming out, you've got a weekly series I believe that sharing data along with one of our other CUBE Alarms Archana, tell us a little bit about what you're doing there and how that differs. >> Yeah, so we do a weekly podcast. It's just about 15 minutes. It's just to check in to look at what's happened the previous week. So we put this out every Monday and we're looking at whether there have been outages, any interesting news that's taken place, and we'll often go and deep dive on disruptions that have happened. So last week, you probably heard about the CloudFlare outage. It was a pretty big deal. I was getting lots of folks telling me, "Hey, the Internet's down." And it was really just CloudFlare and their DNS service that wasn't available. So we go under the hood and dissect what happened and how it unfolded, and we can show a lot of interesting visualizations around that. >> All right, one last thing, going back to the report, obviously you gather data, you look to be this yearly report, anything along gathering that data, surprises that you've found along this, or putting together the report, are there certain things that longitudinally you might look to do in future studies? >> Yeah, so I do think that maybe it wasn't as surprising to a lot of people, but it was surprising to us given that looking at the same amount of data or same amount of infrastructure that cloud providers were just so dramatically experienced fewer outages. ISP is like 10 times the number of outages as cloud providers. I think going forward, it would be interesting to incorporate more insight into LastMile connectivity, 'cause we're really focusing on backbone networks, really anything other than LastMiles. So, in subsequent reports, we'll fold in some additional insight into LastMile performance as well. >> Excellent. All right, Angelique, I'll let you have the final word, final takeaways you want people to have from this internet performance report. >> You know, I think what you should take away is that if you're able to see how providers are performing, you really can influence how they operate and have a more productive experience working with them. And because these days they're really foundational to most enterprises business, so it's really important to understand the differences between the cloud providers, as well as differences between internet service providers and how that works across different regions. >> All right, well, Angelique, thank you so much for sharing the results of this. Definitely look forward to digging into the data and hearing more from your weekly activities. >> Thanks for having me. >> All right, thank you so much for joining, I'm Stu Miniman and thank you for watching theCUBE. (bright music)

>> From Santa Clara, California in the heart of Silicon Valley, it's theCUBE, covering Technovation's World Pitch 2018. Now here's Sonia Tagare. >> Hi, welcome back, I'm Sonia Tagare, here with theCUBE in Santa Clara, California, covering Technovation's World Pitch Summit 2018, a pitch competition for girls who develop mobile apps in order to create positive change in the world. This week, 12 finalists are competing for their chance to win the gold or silver scholarships. With us right now, we have, from Delhi, India Team Cantavits. So we have Sneha Agarwal, Aditi Jain, Shriya Shukla. Then we have Kritika Sharma, and then we have Shraddha Chugh. With them is their coach, Archana Jain. So congratulations, and welcome to theCUBE. >> Thank you. >> So your app, Eedo, tell us more about that. >> So Eedo is a late Latin word for electronic waste. our app is all about electronic waste. Electronic waste is electronic equipment which are not in a working condition right now. So what we do is connect people who generate e-waste to people who recycle it in an eco-friendly manner without harming the environment, and health problems. Because, generally people, what they do is, they dispose their e-waste as regular trash, or they just throw it in the dustbins, or maybe sell it to the local scrap dealers which harm the environment illegally, and harms all the human health. So our app is just about connecting e-waste generators and e-waste recyclers, to not harm environment and human health from e-waste dispos&al. >> It sounds like it could have quite the social impact. What inspired you all to create this app? >> Actually, it was one of the potential ideas when we had a brainstorming session to choose an idea for an app for Technovation challenge, but then we read a grave article about e-waste in a national daily, and that motivated us further, and we decided to make an app to solve this issue. >> What inspired you to join Technovation? >> Actually, Technovation always gave us inspiration, and that spirit to just go into the field of information and technology and create cool apps to solve community issues. I think we were, in 2016, we came to know about Technovation, and just reading about an overview of Technovation, it just gave us that spirit and that enthusiasm to participate in this competition. >> And how did you all create your team? How did you meet? >> She's our teacher at school, and she's the one who introduced us all. I, Aditi, and Shraddha, we have been participating for three years in this competition. This is the third year, and Shriya has been participating for two years. This is her second year, and Sneha is the new one, and she introduced us all. She came up, and we went to her once or twice, then she introduced us to this competition. >> Actually, she appointed all the students, that we should come as a team, >> Yeah >> and go into this competition. >> That's wonderful. So how do you think, being a part of this competition, how has it helped you? Has it made you more interested in technology? >> Yeah, definitely. >> Actually, Technovation gave us the opportunity to go in a world of endless opportunities. Actually, Technovation helped us to actually identify ourselves, identify inner talent so that we solve community issues, and create coding, actually go into coding, and that high tech opportunities. >> Yeah? >> Yeah. >> Just take the microphone. >> You want to add anything? >> I want to add. We also got to learn many things that we'll not learn if we didn't get to know about Technovation. We learned coding, and marketing strategies, which we'll not be able to learn if we not create an app for Technovation. >> Well that's wonderful. >> For me, earlier, coding was a very difficult task. I'm talking three years back, but now, after participating in this event in three years, it has been very easy and it it is very helpful to develop a new career in our life so we can go in the field of software engineering, or many other fields that will be very wonderful for our life. >> That's very inspiring. What are you most excited about this week at the Technovation competition? >> For this week, we're most excited about pitching our app in front of the people so that we can generate awareness about the e-waste problem and our solution to it. >> That's great. Can you tell us a little bit more about how a user can use this app? >> Actually, if I'm a common user, and I have to use my app to dispose of the e-waste, so what will I do? I download the app from the Google Play Store, just post an ad of the e-waste, like, I have a Mumbai phone that's broken now. I just enter the device name, the quantity, and the date and time for collection, and I'll just post the ad. Only that's much work from the generator of e-waste, and then comes in all of recyclers of the e-waste. He'll just see the list of ads which have been posted by the generators of e-waste. He'll click the ad, view it's details, and accept that for pick up. After picking that e-waste from user's doorstep, he'll be given a reasonable amount for the same to the user. Wow, so what advice would you give to other girls who want to join Technovation? >> I want to say that Technovation gave us wings, as I mentioned earlier to fly in a world of endless opportunities, and I would say that if you have that will to do something good for society, technology is the best option you can go for, and you can implement to solve community issues. So, go girls, I would say, go girls in the field of information technology, and do whatever you want. >> Well, that's a great note to end on. Thank you all so much for being here, and congratulations, and good luck on your pitch tomorrow. >> Thank you. >> We are here at Technovation's World Pitch Summit 2018 in Santa Clara, California, stay tuned for more. (electronic music)