>> From New York City It's theCUBE covering, New Relic FutureStack 2019 brought to you by New Relic. >> Hi I'm Stu Miniman and this is theCUBE's coverage of FutureStack 2019. Happy to welcome to the program, first time guest, Buddy Brewer, who's the GVP and GM of client side monitoring with New Relic, going to talk about customer experience and especially the digital customer experience. Buddy, maybe explain for audience who may not know client side monitoring tell us as to where that fits in to the entire picture of new relic. >> Yeah for sure great to chat with you Stu. You know client side monitoring for us, is the part of our observability platform that extends all the way out to where the user actually is. So people think of New Relic as this really great platform for understanding everything that is going on in the application logic, and the servers, but our client side monitoring does is extend it all the way out to the phone that is in the consumers hand or the laptop that's right in front of them. >> Stu Miniman: All right so obviously there is a direct connection between that and that digital customer experience. Maybe explain some of the challenges there and how new relic is helping to work on solving those. >> Yeah you know, digital customer experience is all about collecting and understanding the relationship between two different types of data. There are the technical metrics, all of that information about how long people are waiting, latencies and pieces of the software everything from how long it takes to connect to the server, how long it takes to build the response to the web page, Deliver it, render it, all that stuff. There's lots and lots to collect on the technical side. But the other half of DCX is the personal side, the human side. The person who is on the receiving end of all that stuff, how's it affecting their behavior? How long are they spending on the site? Are they buying? Are they clicking on a second webpage? Are they engaging in the game? Are they booking that travel reservation? And so collecting all of those business metrics, and then collecting right next to them all of the technical metrics and bring that back in a way that you can understand the relationship between those two things is what DCX, digital customer experience is all about. >> Yeah it is fascinating the expectation that we have today in 2019 is so different then the past. It used to be like "Okay, I know if a website doesn't load in this long, they are going to leave me" But you know what are those expectations, what is that ultimate end user. What is a good customer experience for them? >> Buddy Brewer: Yeah it's changing all the time, and it changes depending on what part of the world people are in, it changes depending on the type of device and this is why it is important for customers to actually collect the information and understand their relationship with their customers. It's really hard to put a single number on it. Because what's true for a commerce site, might not be true for a media site. What's true for a site in Australia, might not be true for a site in The Americas, or in the UK. There are certain patterns that certain people have seen, Google had a statistic out awhile ago that said that over half of people will leave a mobile site that takes longer than three seconds to load. And so there are some patterns out there, but a big belief, for us, is that one of the most important relationships our customers have, is the relationship with their customers. That is why it is so important for them to collect their own metrics around how long people are waiting, and how that waiting is affecting their behavior. >> Stu Miniman: Yeah, so it seems obvious that you know having data to back up what's going on is important. Bring us inside a little bit the importance of monitoring in this space though. >> Yeah, absolutely and this is why it's so important. We are so excited to be talking about our observability platform that we have here today at FutureStack. The fact that it's open, you can bring all of this information in. We've got all of this agent technology that collects things about what's happening in the servers what's happening in the info structure, information that's happening on the client side. As well as this ability to absorb information from third parties, then connecting it all together to give you that context. So there is the context that is being solving problems from the front end to the back end of the application stack. There is also the context like we were talking earlier, the digital customer experience. The connection between the technical metrics and the human metrics, and how they are actually experiencing the application. And then making all of that stuff, the connected stuff, programmable. So then our customers were the first observability platform that you can actually build applications on top of. And so we've released twelve of those today that folks can use. It's going to continue to expand, and it's something that our community can contribute to, our customers can actually take our visualizations, and our analytics and customize them to do exactly the things that they need to do. >> Stu Miniman: All right, Buddy observability is still a relatively new term for a lot of people. Help us dig down, you actually did a blog post even, about, you know, the principals of observability and modern applications. What, how should customers be looking at observability and how do they sort between you know, what is a good solution versus, you know, an okay solution? >> Buddy Brewer: Yeah, well there are some really important pieces that we think people need if they want observability about what's happening in their application. It starts with getting all of that information in one place. You know we have this really fast database, in our DB that store all of the telemetry that we collect on behalf of our customers. And it's getting larger and larger as we continue to open that up to things like these third party data sources. Then there is context that is really important to layer on top of that. Bringing the information together in ways that start to make sense out of those little individual pieces. One of the things that we found though, is that our customers are running applications that are so complicated, there is so much going on in these applications today, that even with the context there is still forty or fifty things that are happening at the same time when a customer has an issue. That's where our applied intelligence, which is another piece of what we are launching today at FutureStack, comes into play so that you can take those things and condense them down into smaller more manageable related chunk of information that folks can act on and fix their applications. >> Stu Miniman: Yeah, it was actually really impressive to see, you know, in the demo this morning, being able to poke through and get meaningful results off of tens of terabytes of data. In, I would say, much faster than I can run a report on the industries leading CRM tool where all of our customer data lives today. So you know, pretty interesting stuff is to how you can enable customers and it kind of almost will change the expectations as to what a good experience is like. >> Yeah that's right and you think about how there's that use case of things where normal and then they got bad, and so you logged in and diagnosed to get things back to normal. And having that speed, that ability to get that information quickly is really key there. There's also a whole other use case, this is the digital customer experience user case, where things are normal, but we want our customers to be able to play offense with software. To be able to take what's normal for them today, and to get better and better and better in ways that drive better business outcomes for them and allow them to compete and win in a space where, consumer expectations are just getting tougher everyday. >> Yeah, you know always look at there. How can, how can you just, you know, exceed what customers expecting and give them so that they will, you know, love your solution even more because you gave them more than expecting? How's New Relic helping customers, you know, move along that journey. >> Yeah, you know nobody likes to be kept waiting. At the end of the day the customer always has a unified view. So we want to give our customers, the consumer always have a unified view, we want to give our customers the unified view with all of the details. So that they can deliver a better experience for their customers. And it has to do with, again like I was saying collecting the technical information, also collecting the information about how that's affecting customer behavior and then looking at those two things next to each other in context. So that they can see how one affects the other. >> Stu Miniman: All right so, Buddy give us some of the outcomes that customers will see based on the announcements, today at the show. >> Buddy Brewer: Yeah so for the customer experience, one of those programmable pieces that we launched is this really simple application that you can just drop in to New Relic and it shows you right away the difference between engagement when people are getting good experiences, versus when customers they are getting bad experiences. And when we show this to people often times they are shocked. For example take a metric like bounce rate. What's the likelihood that someone who comes to your site is going to stay on your site? When people think about it, usually they are thinking about it in aggregate, across the entire site. But when you separate it out into the good experiences, and the bad experiences, maybe you've got an overall bounce rate of forty-percent, but when you give those really fast experiences to your users they are only bouncing at twenty-percent, so they are twice as engaged. Then conversely the folks who are getting the bad experiences, because let's be honest on any given day, websites are, you know delivering good and bad experiences to different groups of users, that bounce rate might be seventy-percent. And when you see the disparity between these two things it's a motivator to action. Now what's really important after that is that you've got the data underneath so that you can actually do something about it. And that's where this end to end observability platform that collects all of the information from the front end to the back end is so useful. >> Stu Miniman: Yeah, I have to think that it's pretty powerful not just for the customer experience, but I can get accountability from my partners, so where it be my ISP or my cloud provider, I can be like "Hey, uh, you promised me this response, this bandwidth and here's the data, we need to make sure that I'm actually getting what I'm paying for" >> Yeah that's right and at the end of the day what the customer saw, what our customers customers, the consumer at the end of that connection sees, is the truth. And so collecting that data, whether they are on a mobile device using an application or they are using a browser. Any of that stuff. Having that information is not only useful for internal accountability, and things that are in peoples direct control, but also absolutely, there's so many, so many third parties that people are using, to make their application's go today. >> Stu Miniman: Yeah, we know the visibility of actual data to help us not only make decisions but, inform everything that we doing is so critically important today. All right Buddy, why don't you give the final word, digital customer experience. What do you want people coming out of FutureStack 2019 here in New York City, really understanding? >> Yeah, I think that when it comes to New Relic, it's that we providing folks the ability to have exactly the view that they need of all of the data that's relevant to the performance of their application. So that they can solve technical problems, so that they can solve business problems. Because at the end of the day, your digital business is your business increasingly. The digital experience is what defines peoples brands. And so we want our customers to have complete control and visibility over all of that. >> Stu Miniman: All right, Well Buddy Brewer thanks so much for joining and sharing what's going on with New Relic and that digital customer experience >> Thanks so much Stu. >> All right, little bit more left here at FutureStack 2019, I'm Stu Miniman and thanks for watching theCUBE. [Outro Music]

>> Hi, I'm Peter Burris, and welcome to a Wikibon Action Item Quick Take. Jim Kobielus, lots going on in the world of AI and storage. If we think about what happened in storage over the years, it used to be for disc space, get data into a persistent state, and for some of the flash base, it's get data out faster. What happened this week between Pure and NVIDIA to make it easier to get data out faster, especially for AI applications? >> Yeah Peter, this week at NVIDIA's annual conference, GPU technology conference, they announced a partnership with Pure Storage. In fact they released a jointly developed product called AIRI...A-I-R-I standing for AI Ready Infrastructure. What's significant about AIRI is that it is a... Well, I'll tell you years ago, I'm showing my age there was this constant well of data warehousing appliance, a pre-bundled, pre-integrated assembly of storage and compute and software for specific workloads. Though, I wouldn't use the term appliance here, it's a similar concept. In the AI space, there's a need for pre-integrated storage and compute devices...racks...for training workloads and other core, very compute and very data-intensive workloads for AI And that's what the Pure Storage NVIDIA AIRI is all about. It includes Pure Storage's Flashblade storage technology, plus four NVIDIA DCX supercomputers that are running the latest GPUs, the Tesla V100. As well as providing a fast interconnect of NVIDIA's. Plus, also bundling software, NVIDIA's AI frame was from modeling, there's a management tool from Pure Storage. What this is, this is a harbinger of what we expect, and Wikibon will be a broader range from these vendors and others of pre-built optimized AI storage products for premises based deployment, for hyperquads, really for complex AI pipelines involving data... Scientist data, engineers and others. We're very excited about this particular product, we think it has great potential and we believe there's a lot of pent-up demand for these kinds of pre-built hardware products. And that, in many ways, was by far the most significant story in the AI space this week. >> All right, so this has been...thanks very much for that Jim. So, more to come, moving more compute closer to the data. Part of a bigger trend. This has been a Wikibon Action Item Quick Take. >> (smooth techno music)