>> From San Francisco, it's The Cube Covering Conga Connect West 2018. Brought to you by Conga. Hey welcome back everybody, Jeff Frick here with The Cube. We are at Salesforce Dreamforce, they say a hundred and seventy thousand people have descended into downtown San Francisco, it's absolutely bananas. We found a little respite, a little oasis if you will. Couple doors down to the Thirsty Bear's, the Conga Connect West event, come on down they've rented out The Thirsty Bear for three days of, I just was told, free food, free drink and a lot of entertainment, also a lot of great Conga people as well, and The Cube's here, so come on by. We're excited to have, for our next segment, people that are really getting close to the customer because at the end of the day, it's really about the customer. So we've got Natasha Reid, she is the senior product management for Conga, good to see you. And also Justin Mongroo, the VP of sales excellence from Conga, also great to see you. >> Thanks. Before we get in I got to ask you, Justin, that is a great title, VP of sales excellence. I mean there really, it says something about what you think is important which is being good at selling, not a used car sales approach at all. How did you come up with that title and what does that personify for your team? >> Yeah, well I didn't come up the title but I think for us, Conga, what it means, sales excellence is about selling with integrity, our product provides real benefits to customers and so unlike a lot of products where they can't talk about the full set, sales excellence to us is being able really let the product shine and identify how it's going to help the businesses we work with. >> Right, and Natasha that's what I hear you spend a lot of your time with customers on. You know, you're product management, but you're using a lot of customer input to drive what you prioritize how you're kind of setting out your road map, what you're working on. >> Yes, absolutely. So, from a customer perspective, we really pride ourselves on customer interviews. There's really nothing that helps you understand what customers are doing and using with your products than watching them firsthand in their own environment, and it really just provides invaluable feedback to help drive where we take our products in the future. >> It's funny, we did the Intuit Quickbooks Connect show a couple years ago, we had Scott Cook on, and he used to talk about it at Intuit, they would just go, like you said, and sit and watch people engage with the application, not even surveys but actually see how users use it and it's interesting even if you watch someone else just use Excel, we all use it in a very different way, so that must be incredibly valuable feedback. >> Yes, I mean you really see the good parts of the application, you see the parts that maybe need improvement as well, but it's feedback that you really can't gather in any way except watching somebody. >> Right, I think it also is the philosophy that's very very different than kind of looking at the competitors all the time, if you listen to Andy Jassy or Jeff Bezos at Amazon who are just kicking tail and taking names, they're maniacally focused on what the customer wants. They don't really look at the competition, they don't really talk about the competition, they're always looking at that customer. What do they need, what do they need next, and you guys continuing to evolve your product line to kind of continue to go down that path. >> Well, and the reality is is the customer defines the product in a lot of cases, right? What better way to understand your market than to talk to the people who are already working with you and finding out what they want to buy next? >> Right, right. So you guys have some exciting announcements here at Salesforce this year, Salesforce is now integrating some of the Conga functionality inside of some of their core applications if you could give us a little bit more color on that. >> Sure, so we just launched Conga invoice generation for Salesforce billing, and Conga quote generation for Salesforce CPQ. So, these two products are taking the power of the flagship document generation product Conga Composer, and we're leveraging that functionality for very purpose-specific built document generation with Salesforce CPQ and Salesforce billing. >> That's pretty awesome. >> Yes, that is pretty awesome. >> So why did pick you guys? What were some of the feature sets, or working with Conga that helped Salesforce come to this decision? >> Sure, so Conga Composer, well known for best in class document generation, pixel perfect documents, so when you need to get your formatting just right, when you need very sharp, clean lines, et cetera, leveraging things like the ability to provide more information or merge more product line items into your documents, as well as supporting the formats that people want, things like Word and PDF. >> Yeah, and I would say in addition to the functionality, Salesforce also is able to trust just by seeing our customer experience through our net promoter score and our reviews online knowing that they could partner with us and that we would take care of our joint customers they way they want them to be. >> That's a pretty significant move by them to adopt your guys' technology as part of the core within some of their offerings >> It is, it's not something that Salesforce does often, so we're very proud and we're very grateful that they looked to us to help provide these solutions. I think another component of this is just ease of use. So very easy to install, Lightning-ready, very forward thinking in that capacity. >> Yeah, the Lightning thing is interesting, you get used to the old, "Who moved my cheese?" I was the old school front end on Salesforce and they finally made me jump over to Lightning, but I'm sure that opened up all types of new opportunities for you to deliver new functionality in that. >> It does, and I'll empathize with that sentiment. I think change is always hard, right? People always struggle a little bit when they're used to doing something one way and Lightning is a very different look and feel from Salesforce Classic. I will say though that once you move to Lightning, Salesforce has done a really great job of, Lightning is more than just a CRM, It helps you do your job better. It makes suggestions, they put a lot of work into UI, user interface and user experience, you don't have to think about how to do your job better, it actually just helps you do your job better. >> Right. >> So being able to build and develop on the Lightning framework is actually a tremendous benefit. >> It has been, and in the last piece you guys are sitting on a bunch of different pieces in this document life cycle, if you will. You don't call it that, but you're into the contracts, you're into the document generation, you're into the life cycle management, so all these things too, I imagine now are coming together in a more kind of synchronized, cohesive way. >> Well I mean it's really if you think about the customer's story they need a generated document to communicate with their customers before they are a customer, and then they need to do a quote to show them how much it's going to cost, and they may or may not need to negotiate that and then they need to sign it, and every business has this sort of interaction with their customers, from, "Here's what we do." to "Do you like it "enough to buy it from us?" To, "Here's how we make it legally binding". I mean that's business, and Conga has met our customers along every stage of that journey that they go through in making a customer a customer, and doing that in a visually stimulating, professional way. >> So, fun fact about Conga Sign, our e-signature product we launched in February of this year. E-signature was the #1 feature request, or problem to solve that the conga customer base has provided in the last couple of years. So, everybody wanted e-signature. We listened, we heard, and we built you e-signature. >> So how long did it take you to get it out, from the time you decided, okay we'll go ahead? >> Well, as the original product manager I can actually answer that very specifically. So, we started building in July of last year and we launched on February thirteenth of this year. >> So, less than a year? >> Yes. >> Definitely less than a year. >> Okay, great. And just final thoughts on this event? Dreamforce, obviously a huge event for you guys, big investment in this Thirsty Bear celebration at Connect West. What do you hope to get out of this week, what are you excited to see from both the Salesforce folks across the street, as well as this kind of gathering with all your customers? >> You know, for me I hope to learn. I want to learn what our customers are interested in, I want to learn what our reps are seeing in the market as they walk around, and what other businesses are doing, and then learn from the ecosystem and what tools are available that we can use ourselves to better help our customer which is our employees. >> My favorite part of Dreamforce is actually the Conga booth at the Moscone main hall. So we actually get lots of our customers who come to find us, who come to find specific people. They'll come and ask for, "Hey, this support person "helped us", and they'll actually identify that person by name, or "Hey, this professional "service person helped us, can I meet them? "Are they here?" And it's just incredibly gratifying, like it's very difficult to describe. You have literally hundreds of people coming to find you to just say, "Thank you, we love your products, "it makes my life so much easier, "what else are you guys doing?" >> That's great, and it's always so gratifying to know that there's always someone on the other side that appreciates the work and it's always fun when you get some kind of an electronic relationship, to cement that with a face and a voice and a name and a handshake. Well, thanks again for stopping by and congratulations on the big announcement. >> [Natasha And Justin] Thank you. >> Alright, he's Justin, she's Natasha, I'm Jeff, you're watching The Cube. We're here at Conga Connect West at Salesforce at Thirsty bear, see you next time.

>> Announcer: Live from Las Vegas, it's theCUBE, covering Dell EMC World 2017. Brought to you by Dell EMC. >> Welcome back inside Dell EMC World 2017 here on theCUBE, we continue our coverage. Day 3 here in Las Vegas from the Sands Expo, sandwiched in between the Palazzo and the Venetian. A great show, a great vibe, and it's been a good show for Virtustream. And we have with us the president and CTO and a co-founder from Virtustream joining us now, Kevin Reid. Kevin, good to see you, how've you been? >> Been great, it's just very energizing being here this week. >> Yeah, what about the week for you? I'm sure you have a couple of announcements we'll get to in just a moment, but just want to get your take on the show here as we wind down. >> You know, the show's just been incredible. You know of course, it's the first year that they're all coming together, if you will, as the brand of Dell EMC as one show for the stage. It's been a great stage for us, great audience, looking at the range of countries and clients represented. We've actually just been blown away at the energy behind what Dell Technologies now represents as the overall set of brands in the portfolio. >> So let's get to the news that you made this week. One in the healthcare space, I know very important space for you, and in the connector space as well with vCloud. Let's go ahead and take them one at a time if you would. >> Absolutely, so healthcare cloud, you know, for us just a fantastic area when you look at just all the regulatory issues associated with healthcare in general, and certainly we don't have enough time on this show to go into what all that means, but the ramifications are. >> No, we'd like to get into HIPAA compliance if you don't mind. >> We actually talked about it yesterday, so if you want to talk about it again. >> Just kidding, just kidding, we don't have time here, right (laughs). >> It's just been fantastic because with all that change becomes all the investments that the healthcare companies are having to make, whether it's in EHR or EMR and as you look at changing out those systems of record that really run the critical patient care for those healthcare providers, it really presents a great opportunity. So what we've done is said let's leverage our core competencies of mission critical and let's gear that towards the healthcare space and let's leverage our compliance in HIPAA and other things like that and be able to bring to the market a capability that's multi-talented, that's utility oriented, but has that mission critical SLA that we're accustomed to providing our clients over the years. So we're very excited about that. We think it's a great market, a great industry overall, and we've seen fantastic feedback even in this show from clients who are very excited to now engage and what that could mean for them. >> So, Kevin, the connector announcement. VMware, we're at De\ll EMC World, VMware a huge part of the Dell Technologies' portfolio. What's the news around connector? >> So with the connector, what it really allows us to do is take what has been our cornerstone differentiation over the years, which is really around the mission critical, high service levels, when you think about guaranteed service levels, almost think of us as more of a managed infrastructure, as a service that has those high SLAs associated with it. So having clients be able to take the VMware estate and then be able to provision and manage workloads that are then being provisioned into the Virtustream, high SLA mission critical environment, is a big step for those enterprise customers. It's a big step for Dell Technologies as a brand. And it doesn't necessarily change the fact that you can also do that to other public cloud providers, you just get a higher level of service by doing it with Virtustream. >> So let's talk a little bit about that value prop of Virtustream. Doing the acquisition, it kind of made sense to me. EMC, traditional enterprise, high availability company, you know you had the VMAX 5, 6, 9s array. Virtustream, you guys did a wonderful job with taking a complex application SAP, providing some provisioning tools around that, and making that a consumable resource in the cloud. Talk to me a little bit about the conversations you've had on the show floor with traditional Dell EMC customers. Are they starting to really warm up to this expansion of the Virtustream brand beyond SAP into other mission critical apps? >> Absolutely, and that really represents the huge growth opportunity for us. As Virtustream we were very successful, as you mentioned, going into the SAP application space because typically SAP will be the system of record for a lot of these large enterprises. And what happens is, with your system of record, things like data persistence and performance guarantees, high IO, large footprint workloads, they're absolutely germane to those systems of record, but SAP is not the only application that fits into that category. When you look at all the different verticals and you look at the areas like we mentioned with healthcare and some of the key applications like Epic and MEDITECH and Cerner, and then you look at the other verticals, there are always these very key systems of record that require that sort of heavy weight capability around mission critical. And so leveraging all of our learnings in the application space, that we can bring that level of mission critical infrastructure performance with that application-centric automation that is focused on that kind of capability, it just makes sense. So it opens up the aperture in terms of the number of apps that we can now run on the Virtustream platform. Technically we could do it before, but now with the reach of Dell EMC, it not only allows us the account penetration by getting in there with relationships that are already leverageable with Dell EMC, but it allows us to also reach the partner community on the software side and be able to talk to application vendors that we can actually bring on to the platform as well. So we're very excited about that. >> So this isn't really anything new for you guys in essence. SAP is what I like to call one of those core center of gravity applications, it's heavy. You're going to have a lot of applications around SAP, and those applications are going to be just as critical, transaction applications, payment processing, big data apps, and you guys have hosted those applications before. What are some of the lessons learned from hosting the SAP ecosystem of applications that you're being able to now transfer that to other enterprise applications? >> Well there are a couple of very key lessons that we've learned. So first of all, you're absolutely right in the sense that when you have that mission critical nucleus, all the things that sit in the ecosystem come along with it. And for us, we've always for years been able to run anything that runs on the x86 platform, so we're certainly not limited to any specific application set. But what we've learned actually over the years in dealing with that concept of the ecosystem, the peripheral systems, is integration. And not only integration in the sense of technically allowing those systems to talk to each other, but we find is when a client is looking to set up a new training environment, or a new testing or QA environment, or they're even leveraging the concept of utility and consumption, if you don't need that system active at night, then you should shut it down. And if you don't need it on the weekend, you should shut it down, but yet in a lot of these complicated systems, the way in which the integration comes up and which systems talk first and then second and then third, are very critical. So over the years we've picked up on things like that level of application automation, what we call landscape management. So you're not just managing a VM, you're managing an entire landscape, which you have to blueprint and then say, for that blueprint, if you're going to shut it down, what's the way of doing that that's fastest, but also runs the least risk of data corruption or other issues that can occur if you just, for some reason, fall out of sequence. So that's one of the very critical lessons that we've learned. The other piece of it is really around tweaking the environments where we've found that by analyzing the actual resource consumption of these apps, which we measure on five minute increments, it allows us to have a much better introspection, if you will, of that entire landscape. And so it allows us to predict whether it's at night or certain times of the month, you know if you're in financial close as an example, or for some of our very labor intensive environments that have warehouses or manufacturing, time and attendance systems that kick in at certain shift change hours. And being able to predict when they need the resources and allocate those resources accordingly. So these are some of the very critical lessons that we plan to take from our years of running and perfecting the art of running SAP and taking them to some of these other mission critical applications as well. >> Well, Kevin, again, great news that you've launched this week in a couple of respects. Glad to hear the show's going well. And just want to congratulate you personally, I mean, I always like having co-founder on the show. It's just, you build something from scratch and obviously it's worked extremely well, so congratulations on that. >> Thank you very much. >> John: I admire that, so good for you. >> Thank you. >> Good to have you, Kevin Reid from Virtustream with us here on theCUBE. Back with more from Dell EMC World 2017 in just a bit. You are watching theCUBE here on SiliconANGLE TV. (bright techno music)

>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> OpenAI The company, and ChatGPT have taken the world by storm. Microsoft reportedly is investing an additional 10 billion dollars into the company. But in our view, while the hype around ChatGPT is justified, we don't believe OpenAI will lock up the market with its first mover advantage. Rather, we believe that success in this market will be directly proportional to the quality and quantity of data that a technology company has at its disposal, and the compute power that it could deploy to run its system. Hello and welcome to this week's Wikibon CUBE insights, powered by ETR. In this Breaking Analysis, we unpack the excitement around ChatGPT, and debate the premise that the company's early entry into the space may not confer winner take all advantage to OpenAI. And to do so, we welcome CUBE collaborator, alum, Sarbjeet Johal, (chuckles) and John Furrier, co-host of the Cube. Great to see you Sarbjeet, John. Really appreciate you guys coming to the program. >> Great to be on. >> Okay, so what is ChatGPT? Well, actually we asked ChatGPT, what is ChatGPT? So here's what it said. ChatGPT is a state-of-the-art language model developed by OpenAI that can generate human-like text. It could be fine tuned for a variety of language tasks, such as conversation, summarization, and language translation. So I asked it, give it to me in 50 words or less. How did it do? Anything to add? >> Yeah, think it did good. It's large language model, like previous models, but it started applying the transformers sort of mechanism to focus on what prompt you have given it to itself. And then also the what answer it gave you in the first, sort of, one sentence or two sentences, and then introspect on itself, like what I have already said to you. And so just work on that. So it it's self sort of focus if you will. It does, the transformers help the large language models to do that. >> So to your point, it's a large language model, and GPT stands for generative pre-trained transformer. >> And if you put the definition back up there again, if you put it back up on the screen, let's see it back up. Okay, it actually missed the large, word large. So one of the problems with ChatGPT, it's not always accurate. It's actually a large language model, and it says state of the art language model. And if you look at Google, Google has dominated AI for many times and they're well known as being the best at this. And apparently Google has their own large language model, LLM, in play and have been holding it back to release because of backlash on the accuracy. Like just in that example you showed is a great point. They got almost right, but they missed the key word. >> You know what's funny about that John, is I had previously asked it in my prompt to give me it in less than a hundred words, and it was too long, I said I was too long for Breaking Analysis, and there it went into the fact that it's a large language model. So it largely, it gave me a really different answer the, for both times. So, but it's still pretty amazing for those of you who haven't played with it yet. And one of the best examples that I saw was Ben Charrington from This Week In ML AI podcast. And I stumbled on this thanks to Brian Gracely, who was listening to one of his Cloudcasts. Basically what Ben did is he took, he prompted ChatGPT to interview ChatGPT, and he simply gave the system the prompts, and then he ran the questions and answers into this avatar builder and sped it up 2X so it didn't sound like a machine. And voila, it was amazing. So John is ChatGPT going to take over as a cube host? >> Well, I was thinking, we get the questions in advance sometimes from PR people. We should actually just plug it in ChatGPT, add it to our notes, and saying, "Is this good enough for you? Let's ask the real question." So I think, you know, I think there's a lot of heavy lifting that gets done. I think the ChatGPT is a phenomenal revolution. I think it highlights the use case. Like that example we showed earlier. It gets most of it right. So it's directionally correct and it feels like it's an answer, but it's not a hundred percent accurate. And I think that's where people are seeing value in it. Writing marketing, copy, brainstorming, guest list, gift list for somebody. Write me some lyrics to a song. Give me a thesis about healthcare policy in the United States. It'll do a bang up job, and then you got to go in and you can massage it. So we're going to do three quarters of the work. That's why plagiarism and schools are kind of freaking out. And that's why Microsoft put 10 billion in, because why wouldn't this be a feature of Word, or the OS to help it do stuff on behalf of the user. So linguistically it's a beautiful thing. You can input a string and get a good answer. It's not a search result. >> And we're going to get your take on on Microsoft and, but it kind of levels the playing- but ChatGPT writes better than I do, Sarbjeet, and I know you have some good examples too. You mentioned the Reed Hastings example. >> Yeah, I was listening to Reed Hastings fireside chat with ChatGPT, and the answers were coming as sort of voice, in the voice format. And it was amazing what, he was having very sort of philosophy kind of talk with the ChatGPT, the longer sentences, like he was going on, like, just like we are talking, he was talking for like almost two minutes and then ChatGPT was answering. It was not one sentence question, and then a lot of answers from ChatGPT and yeah, you're right. I, this is our ability. I've been thinking deep about this since yesterday, we talked about, like, we want to do this segment. The data is fed into the data model. It can be the current data as well, but I think that, like, models like ChatGPT, other companies will have those too. They can, they're democratizing the intelligence, but they're not creating intelligence yet, definitely yet I can say that. They will give you all the finite answers. Like, okay, how do you do this for loop in Java, versus, you know, C sharp, and as a programmer you can do that, in, but they can't tell you that, how to write a new algorithm or write a new search algorithm for you. They cannot create a secretive code for you to- >> Not yet. >> Have competitive advantage. >> Not yet, not yet. >> but you- >> Can Google do that today? >> No one really can. The reasoning side of the data is, we talked about at our Supercloud event, with Zhamak Dehghani who's was CEO of, now of Nextdata. This next wave of data intelligence is going to come from entrepreneurs that are probably cross discipline, computer science and some other discipline. But they're going to be new things, for example, data, metadata, and data. It's hard to do reasoning like a human being, so that needs more data to train itself. So I think the first gen of this training module for the large language model they have is a corpus of text. Lot of that's why blog posts are, but the facts are wrong and sometimes out of context, because that contextual reasoning takes time, it takes intelligence. So machines need to become intelligent, and so therefore they need to be trained. So you're going to start to see, I think, a lot of acceleration on training the data sets. And again, it's only as good as the data you can get. And again, proprietary data sets will be a huge winner. Anyone who's got a large corpus of content, proprietary content like theCUBE or SiliconANGLE as a publisher will benefit from this. Large FinTech companies, anyone with large proprietary data will probably be a big winner on this generative AI wave, because it just, it will eat that up, and turn that back into something better. So I think there's going to be a lot of interesting things to look at here. And certainly productivity's going to be off the charts for vanilla and the internet is going to get swarmed with vanilla content. So if you're in the content business, and you're an original content producer of any kind, you're going to be not vanilla, so you're going to be better. So I think there's so much at play Dave (indistinct). >> I think the playing field has been risen, so we- >> Risen and leveled? >> Yeah, and leveled to certain extent. So it's now like that few people as consumers, as consumers of AI, we will have a advantage and others cannot have that advantage. So it will be democratized. That's, I'm sure about that. But if you take the example of calculator, when the calculator came in, and a lot of people are, "Oh, people can't do math anymore because calculator is there." right? So it's a similar sort of moment, just like a calculator for the next level. But, again- >> I see it more like open source, Sarbjeet, because like if you think about what ChatGPT's doing, you do a query and it comes from somewhere the value of a post from ChatGPT is just a reuse of AI. The original content accent will be come from a human. So if I lay out a paragraph from ChatGPT, did some heavy lifting on some facts, I check the facts, save me about maybe- >> Yeah, it's productive. >> An hour writing, and then I write a killer two, three sentences of, like, sharp original thinking or critical analysis. I then took that body of work, open source content, and then laid something on top of it. >> And Sarbjeet's example is a good one, because like if the calculator kids don't do math as well anymore, the slide rule, remember we had slide rules as kids, remember we first started using Waze, you know, we were this minority and you had an advantage over other drivers. Now Waze is like, you know, social traffic, you know, navigation, everybody had, you know- >> All the back roads are crowded. >> They're car crowded. (group laughs) Exactly. All right, let's, let's move on. What about this notion that futurist Ray Amara put forth and really Amara's Law that we're showing here, it's, the law is we, you know, "We tend to overestimate the effect of technology in the short run and underestimate it in the long run." Is that the case, do you think, with ChatGPT? What do you think Sarbjeet? >> I think that's true actually. There's a lot of, >> We don't debate this. >> There's a lot of awe, like when people see the results from ChatGPT, they say what, what the heck? Like, it can do this? But then if you use it more and more and more, and I ask the set of similar question, not the same question, and it gives you like same answer. It's like reading from the same bucket of text in, the interior read (indistinct) where the ChatGPT, you will see that in some couple of segments. It's very, it sounds so boring that the ChatGPT is coming out the same two sentences every time. So it is kind of good, but it's not as good as people think it is right now. But we will have, go through this, you know, hype sort of cycle and get realistic with it. And then in the long term, I think it's a great thing in the short term, it's not something which will (indistinct) >> What's your counter point? You're saying it's not. >> I, no I think the question was, it's hyped up in the short term and not it's underestimated long term. That's what I think what he said, quote. >> Yes, yeah. That's what he said. >> Okay, I think that's wrong with this, because this is a unique, ChatGPT is a unique kind of impact and it's very generational. People have been comparing it, I have been comparing to the internet, like the web, web browser Mosaic and Netscape, right, Navigator. I mean, I clearly still remember the days seeing Navigator for the first time, wow. And there weren't not many sites you could go to, everyone typed in, you know, cars.com, you know. >> That (indistinct) wasn't that overestimated, the overhyped at the beginning and underestimated. >> No, it was, it was underestimated long run, people thought. >> But that Amara's law. >> That's what is. >> No, they said overestimated? >> Overestimated near term underestimated- overhyped near term, underestimated long term. I got, right I mean? >> Well, I, yeah okay, so I would then agree, okay then- >> We were off the charts about the internet in the early days, and it actually exceeded our expectations. >> Well there were people who were, like, poo-pooing it early on. So when the browser came out, people were like, "Oh, the web's a toy for kids." I mean, in 1995 the web was a joke, right? So '96, you had online populations growing, so you had structural changes going on around the browser, internet population. And then that replaced other things, direct mail, other business activities that were once analog then went to the web, kind of read only as you, as we always talk about. So I think that's a moment where the hype long term, the smart money, and the smart industry experts all get the long term. And in this case, there's more poo-pooing in the short term. "Ah, it's not a big deal, it's just AI." I've heard many people poo-pooing ChatGPT, and a lot of smart people saying, "No this is next gen, this is different and it's only going to get better." So I think people are estimating a big long game on this one. >> So you're saying it's bifurcated. There's those who say- >> Yes. >> Okay, all right, let's get to the heart of the premise, and possibly the debate for today's episode. Will OpenAI's early entry into the market confer sustainable competitive advantage for the company. And if you look at the history of tech, the technology industry, it's kind of littered with first mover failures. Altair, IBM, Tandy, Commodore, they and Apple even, they were really early in the PC game. They took a backseat to Dell who came in the scene years later with a better business model. Netscape, you were just talking about, was all the rage in Silicon Valley, with the first browser, drove up all the housing prices out here. AltaVista was the first search engine to really, you know, index full text. >> Owned by Dell, I mean DEC. >> Owned by Digital. >> Yeah, Digital Equipment >> Compaq bought it. And of course as an aside, Digital, they wanted to showcase their hardware, right? Their super computer stuff. And then so Friendster and MySpace, they came before Facebook. The iPhone certainly wasn't the first mobile device. So lots of failed examples, but there are some recent successes like AWS and cloud. >> You could say smartphone. So I mean. >> Well I know, and you can, we can parse this so we'll debate it. Now Twitter, you could argue, had first mover advantage. You kind of gave me that one John. Bitcoin and crypto clearly had first mover advantage, and sustaining that. Guys, will OpenAI make it to the list on the right with ChatGPT, what do you think? >> I think categorically as a company, it probably won't, but as a category, I think what they're doing will, so OpenAI as a company, they get funding, there's power dynamics involved. Microsoft put a billion dollars in early on, then they just pony it up. Now they're reporting 10 billion more. So, like, if the browsers, Microsoft had competitive advantage over Netscape, and used monopoly power, and convicted by the Department of Justice for killing Netscape with their monopoly, Netscape should have had won that battle, but Microsoft killed it. In this case, Microsoft's not killing it, they're buying into it. So I think the embrace extend Microsoft power here makes OpenAI vulnerable for that one vendor solution. So the AI as a company might not make the list, but the category of what this is, large language model AI, is probably will be on the right hand side. >> Okay, we're going to come back to the government intervention and maybe do some comparisons, but what are your thoughts on this premise here? That, it will basically set- put forth the premise that it, that ChatGPT, its early entry into the market will not confer competitive advantage to >> For OpenAI. >> To Open- Yeah, do you agree with that? >> I agree with that actually. It, because Google has been at it, and they have been holding back, as John said because of the scrutiny from the Fed, right, so- >> And privacy too. >> And the privacy and the accuracy as well. But I think Sam Altman and the company on those guys, right? They have put this in a hasty way out there, you know, because it makes mistakes, and there are a lot of questions around the, sort of, where the content is coming from. You saw that as your example, it just stole the content, and without your permission, you know? >> Yeah. So as quick this aside- >> And it codes on people's behalf and the, those codes are wrong. So there's a lot of, sort of, false information it's putting out there. So it's a very vulnerable thing to do what Sam Altman- >> So even though it'll get better, others will compete. >> So look, just side note, a term which Reid Hoffman used a little bit. Like he said, it's experimental launch, like, you know, it's- >> It's pretty damn good. >> It is clever because according to Sam- >> It's more than clever. It's good. >> It's awesome, if you haven't used it. I mean you write- you read what it writes and you go, "This thing writes so well, it writes so much better than you." >> The human emotion drives that too. I think that's a big thing. But- >> I Want to add one more- >> Make your last point. >> Last one. Okay. So, but he's still holding back. He's conducting quite a few interviews. If you want to get the gist of it, there's an interview with StrictlyVC interview from yesterday with Sam Altman. Listen to that one it's an eye opening what they want- where they want to take it. But my last one I want to make it on this point is that Satya Nadella yesterday did an interview with Wall Street Journal. I think he was doing- >> You were not impressed. >> I was not impressed because he was pushing it too much. So Sam Altman's holding back so there's less backlash. >> Got 10 billion reasons to push. >> I think he's almost- >> Microsoft just laid off 10000 people. Hey ChatGPT, find me a job. You know like. (group laughs) >> He's overselling it to an extent that I think it will backfire on Microsoft. And he's over promising a lot of stuff right now, I think. I don't know why he's very jittery about all these things. And he did the same thing during Ignite as well. So he said, "Oh, this AI will write code for you and this and that." Like you called him out- >> The hyperbole- >> During your- >> from Satya Nadella, he's got a lot of hyperbole. (group talks over each other) >> All right, Let's, go ahead. >> Well, can I weigh in on the whole- >> Yeah, sure. >> Microsoft thing on whether OpenAI, here's the take on this. I think it's more like the browser moment to me, because I could relate to that experience with ChatG, personally, emotionally, when I saw that, and I remember vividly- >> You mean that aha moment (indistinct). >> Like this is obviously the future. Anything else in the old world is dead, website's going to be everywhere. It was just instant dot connection for me. And a lot of other smart people who saw this. Lot of people by the way, didn't see it. Someone said the web's a toy. At the company I was worked for at the time, Hewlett Packard, they like, they could have been in, they had invented HTML, and so like all this stuff was, like, they just passed, the web was just being passed over. But at that time, the browser got better, more websites came on board. So the structural advantage there was online web usage was growing, online user population. So that was growing exponentially with the rise of the Netscape browser. So OpenAI could stay on the right side of your list as durable, if they leverage the category that they're creating, can get the scale. And if they can get the scale, just like Twitter, that failed so many times that they still hung around. So it was a product that was always successful, right? So I mean, it should have- >> You're right, it was terrible, we kept coming back. >> The fail whale, but it still grew. So OpenAI has that moment. They could do it if Microsoft doesn't meddle too much with too much power as a vendor. They could be the Netscape Navigator, without the anti-competitive behavior of somebody else. So to me, they have the pole position. So they have an opportunity. So if not, if they don't execute, then there's opportunity. There's not a lot of barriers to entry, vis-a-vis say the CapEx of say a cloud company like AWS. You can't replicate that, Many have tried, but I think you can replicate OpenAI. >> And we're going to talk about that. Okay, so real quick, I want to bring in some ETR data. This isn't an ETR heavy segment, only because this so new, you know, they haven't coverage yet, but they do cover AI. So basically what we're seeing here is a slide on the vertical axis's net score, which is a measure of spending momentum, and in the horizontal axis's is presence in the dataset. Think of it as, like, market presence. And in the insert right there, you can see how the dots are plotted, the two columns. And so, but the key point here that we want to make, there's a bunch of companies on the left, is he like, you know, DataRobot and C3 AI and some others, but the big whales, Google, AWS, Microsoft, are really dominant in this market. So that's really the key takeaway that, can we- >> I notice IBM is way low. >> Yeah, IBM's low, and actually bring that back up and you, but then you see Oracle who actually is injecting. So I guess that's the other point is, you're not necessarily going to go buy AI, and you know, build your own AI, you're going to, it's going to be there and, it, Salesforce is going to embed it into its platform, the SaaS companies, and you're going to purchase AI. You're not necessarily going to build it. But some companies obviously are. >> I mean to quote IBM's general manager Rob Thomas, "You can't have AI with IA." information architecture and David Flynn- >> You can't Have AI without IA >> without, you can't have AI without IA. You can't have, if you have an Information Architecture, you then can power AI. Yesterday David Flynn, with Hammersmith, was on our Supercloud. He was pointing out that the relationship of storage, where you store things, also impacts the data and stressablity, and Zhamak from Nextdata, she was pointing out that same thing. So the data problem factors into all this too, Dave. >> So you got the big cloud and internet giants, they're all poised to go after this opportunity. Microsoft is investing up to 10 billion. Google's code red, which was, you know, the headline in the New York Times. Of course Apple is there and several alternatives in the market today. Guys like Chinchilla, Bloom, and there's a company Jasper and several others, and then Lena Khan looms large and the government's around the world, EU, US, China, all taking notice before the market really is coalesced around a single player. You know, John, you mentioned Netscape, they kind of really, the US government was way late to that game. It was kind of game over. And Netscape, I remember Barksdale was like, "Eh, we're going to be selling software in the enterprise anyway." and then, pshew, the company just dissipated. So, but it looks like the US government, especially with Lena Khan, they're changing the definition of antitrust and what the cause is to go after people, and they're really much more aggressive. It's only what, two years ago that (indistinct). >> Yeah, the problem I have with the federal oversight is this, they're always like late to the game, and they're slow to catch up. So in other words, they're working on stuff that should have been solved a year and a half, two years ago around some of the social networks hiding behind some of the rules around open web back in the days, and I think- >> But they're like 15 years late to that. >> Yeah, and now they got this new thing on top of it. So like, I just worry about them getting their fingers. >> But there's only two years, you know, OpenAI. >> No, but the thing (indistinct). >> No, they're still fighting other battles. But the problem with government is that they're going to label Big Tech as like a evil thing like Pharma, it's like smoke- >> You know Lena Khan wants to kill Big Tech, there's no question. >> So I think Big Tech is getting a very seriously bad rap. And I think anything that the government does that shades darkness on tech, is politically motivated in most cases. You can almost look at everything, and my 80 20 rule is in play here. 80% of the government activity around tech is bullshit, it's politically motivated, and the 20% is probably relevant, but off the mark and not organized. >> Well market forces have always been the determining factor of success. The governments, you know, have been pretty much failed. I mean you look at IBM's antitrust, that, what did that do? The market ultimately beat them. You look at Microsoft back in the day, right? Windows 95 was peaking, the government came in. But you know, like you said, they missed the web, right, and >> so they were hanging on- >> There's nobody in government >> to Windows. >> that actually knows- >> And so, you, I think you're right. It's market forces that are going to determine this. But Sarbjeet, what do you make of Microsoft's big bet here, you weren't impressed with with Nadella. How do you think, where are they going to apply it? Is this going to be a Hail Mary for Bing, or is it going to be applied elsewhere? What do you think. >> They are saying that they will, sort of, weave this into their products, office products, productivity and also to write code as well, developer productivity as well. That's a big play for them. But coming back to your antitrust sort of comments, right? I believe the, your comment was like, oh, fed was late 10 years or 15 years earlier, but now they're two years. But things are moving very fast now as compared to they used to move. >> So two years is like 10 Years. >> Yeah, two years is like 10 years. Just want to make that point. (Dave laughs) This thing is going like wildfire. Any new tech which comes in that I think they're going against distribution channels. Lina Khan has commented time and again that the marketplace model is that she wants to have some grip on. Cloud marketplaces are a kind of monopolistic kind of way. >> I don't, I don't see this, I don't see a Chat AI. >> You told me it's not Bing, you had an interesting comment. >> No, no. First of all, this is great from Microsoft. If you're Microsoft- >> Why? >> Because Microsoft doesn't have the AI chops that Google has, right? Google is got so much core competency on how they run their search, how they run their backends, their cloud, even though they don't get a lot of cloud market share in the enterprise, they got a kick ass cloud cause they needed one. >> Totally. >> They've invented SRE. I mean Google's development and engineering chops are off the scales, right? Amazon's got some good chops, but Google's got like 10 times more chops than AWS in my opinion. Cloud's a whole different story. Microsoft gets AI, they get a playbook, they get a product they can render into, the not only Bing, productivity software, helping people write papers, PowerPoint, also don't forget the cloud AI can super help. We had this conversation on our Supercloud event, where AI's going to do a lot of the heavy lifting around understanding observability and managing service meshes, to managing microservices, to turning on and off applications, and or maybe writing code in real time. So there's a plethora of use cases for Microsoft to deploy this. combined with their R and D budgets, they can then turbocharge more research, build on it. So I think this gives them a car in the game, Google may have pole position with AI, but this puts Microsoft right in the game, and they already have a lot of stuff going on. But this just, I mean everything gets lifted up. Security, cloud, productivity suite, everything. >> What's under the hood at Google, and why aren't they talking about it? I mean they got to be freaked out about this. No? Or do they have kind of a magic bullet? >> I think they have the, they have the chops definitely. Magic bullet, I don't know where they are, as compared to the ChatGPT 3 or 4 models. Like they, but if you look at the online sort of activity and the videos put out there from Google folks, Google technology folks, that's account you should look at if you are looking there, they have put all these distinctions what ChatGPT 3 has used, they have been talking about for a while as well. So it's not like it's a secret thing that you cannot replicate. As you said earlier, like in the beginning of this segment, that anybody who has more data and the capacity to process that data, which Google has both, I think they will win this. >> Obviously living in Palo Alto where the Google founders are, and Google's headquarters next town over we have- >> We're so close to them. We have inside information on some of the thinking and that hasn't been reported by any outlet yet. And that is, is that, from what I'm hearing from my sources, is Google has it, they don't want to release it for many reasons. One is it might screw up their search monopoly, one, two, they're worried about the accuracy, 'cause Google will get sued. 'Cause a lot of people are jamming on this ChatGPT as, "Oh it does everything for me." when it's clearly not a hundred percent accurate all the time. >> So Lina Kahn is looming, and so Google's like be careful. >> Yeah so Google's just like, this is the third, could be a third rail. >> But the first thing you said is a concern. >> Well no. >> The disruptive (indistinct) >> What they will do is do a Waymo kind of thing, where they spin out a separate company. >> They're doing that. >> The discussions happening, they're going to spin out the separate company and put it over there, and saying, "This is AI, got search over there, don't touch that search, 'cause that's where all the revenue is." (chuckles) >> So, okay, so that's how they deal with the Clay Christensen dilemma. What's the business model here? I mean it's not advertising, right? Is it to charge you for a query? What, how do you make money at this? >> It's a good question, I mean my thinking is, first of all, it's cool to type stuff in and see a paper get written, or write a blog post, or gimme a marketing slogan for this or that or write some code. I think the API side of the business will be critical. And I think Howie Xu, I know you're going to reference some of his comments yesterday on Supercloud, I think this brings a whole 'nother user interface into technology consumption. I think the business model, not yet clear, but it will probably be some sort of either API and developer environment or just a straight up free consumer product, with some sort of freemium backend thing for business. >> And he was saying too, it's natural language is the way in which you're going to interact with these systems. >> I think it's APIs, it's APIs, APIs, APIs, because these people who are cooking up these models, and it takes a lot of compute power to train these and to, for inference as well. Somebody did the analysis on the how many cents a Google search costs to Google, and how many cents the ChatGPT query costs. It's, you know, 100x or something on that. You can take a look at that. >> A 100x on which side? >> You're saying two orders of magnitude more expensive for ChatGPT >> Much more, yeah. >> Than for Google. >> It's very expensive. >> So Google's got the data, they got the infrastructure and they got, you're saying they got the cost (indistinct) >> No actually it's a simple query as well, but they are trying to put together the answers, and they're going through a lot more data versus index data already, you know. >> Let me clarify, you're saying that Google's version of ChatGPT is more efficient? >> No, I'm, I'm saying Google search results. >> Ah, search results. >> What are used to today, but cheaper. >> But that, does that, is that going to confer advantage to Google's large language (indistinct)? >> It will, because there were deep science (indistinct). >> Google, I don't think Google search is doing a large language model on their search, it's keyword search. You know, what's the weather in Santa Cruz? Or how, what's the weather going to be? Or you know, how do I find this? Now they have done a smart job of doing some things with those queries, auto complete, re direct navigation. But it's, it's not entity. It's not like, "Hey, what's Dave Vellante thinking this week in Breaking Analysis?" ChatGPT might get that, because it'll get your Breaking Analysis, it'll synthesize it. There'll be some, maybe some clips. It'll be like, you know, I mean. >> Well I got to tell you, I asked ChatGPT to, like, I said, I'm going to enter a transcript of a discussion I had with Nir Zuk, the CTO of Palo Alto Networks, And I want you to write a 750 word blog. I never input the transcript. It wrote a 750 word blog. It attributed quotes to him, and it just pulled a bunch of stuff that, and said, okay, here it is. It talked about Supercloud, it defined Supercloud. >> It's made, it makes you- >> Wow, But it was a big lie. It was fraudulent, but still, blew me away. >> Again, vanilla content and non accurate content. So we are going to see a surge of misinformation on steroids, but I call it the vanilla content. Wow, that's just so boring, (indistinct). >> There's so many dangers. >> Make your point, cause we got to, almost out of time. >> Okay, so the consumption, like how do you consume this thing. As humans, we are consuming it and we are, like, getting a nicely, like, surprisingly shocked, you know, wow, that's cool. It's going to increase productivity and all that stuff, right? And on the danger side as well, the bad actors can take hold of it and create fake content and we have the fake sort of intelligence, if you go out there. So that's one thing. The second thing is, we are as humans are consuming this as language. Like we read that, we listen to it, whatever format we consume that is, but the ultimate usage of that will be when the machines can take that output from likes of ChatGPT, and do actions based on that. The robots can work, the robot can paint your house, we were talking about, right? Right now we can't do that. >> Data apps. >> So the data has to be ingested by the machines. It has to be digestible by the machines. And the machines cannot digest unorganized data right now, we will get better on the ingestion side as well. So we are getting better. >> Data, reasoning, insights, and action. >> I like that mall, paint my house. >> So, okay- >> By the way, that means drones that'll come in. Spray painting your house. >> Hey, it wasn't too long ago that robots couldn't climb stairs, as I like to point out. Okay, and of course it's no surprise the venture capitalists are lining up to eat at the trough, as I'd like to say. Let's hear, you'd referenced this earlier, John, let's hear what AI expert Howie Xu said at the Supercloud event, about what it takes to clone ChatGPT. Please, play the clip. >> So one of the VCs actually asked me the other day, right? "Hey, how much money do I need to spend, invest to get a, you know, another shot to the openAI sort of the level." You know, I did a (indistinct) >> Line up. >> A hundred million dollar is the order of magnitude that I came up with, right? You know, not a billion, not 10 million, right? So a hundred- >> Guys a hundred million dollars, that's an astoundingly low figure. What do you make of it? >> I was in an interview with, I was interviewing, I think he said hundred million or so, but in the hundreds of millions, not a billion right? >> You were trying to get him up, you were like "Hundreds of millions." >> Well I think, I- >> He's like, eh, not 10, not a billion. >> Well first of all, Howie Xu's an expert machine learning. He's at Zscaler, he's a machine learning AI guy. But he comes from VMware, he's got his technology pedigrees really off the chart. Great friend of theCUBE and kind of like a CUBE analyst for us. And he's smart. He's right. I think the barriers to entry from a dollar standpoint are lower than say the CapEx required to compete with AWS. Clearly, the CapEx spending to build all the tech for the run a cloud. >> And you don't need a huge sales force. >> And in some case apps too, it's the same thing. But I think it's not that hard. >> But am I right about that? You don't need a huge sales force either. It's, what, you know >> If the product's good, it will sell, this is a new era. The better mouse trap will win. This is the new economics in software, right? So- >> Because you look at the amount of money Lacework, and Snyk, Snowflake, Databrooks. Look at the amount of money they've raised. I mean it's like a billion dollars before they get to IPO or more. 'Cause they need promotion, they need go to market. You don't need (indistinct) >> OpenAI's been working on this for multiple five years plus it's, hasn't, wasn't born yesterday. Took a lot of years to get going. And Sam is depositioning all the success, because he's trying to manage expectations, To your point Sarbjeet, earlier. It's like, yeah, he's trying to "Whoa, whoa, settle down everybody, (Dave laughs) it's not that great." because he doesn't want to fall into that, you know, hero and then get taken down, so. >> It may take a 100 million or 150 or 200 million to train the model. But to, for the inference to, yeah to for the inference machine, It will take a lot more, I believe. >> Give it, so imagine, >> Because- >> Go ahead, sorry. >> Go ahead. But because it consumes a lot more compute cycles and it's certain level of storage and everything, right, which they already have. So I think to compute is different. To frame the model is a different cost. But to run the business is different, because I think 100 million can go into just fighting the Fed. >> Well there's a flywheel too. >> Oh that's (indistinct) >> (indistinct) >> We are running the business, right? >> It's an interesting number, but it's also kind of, like, context to it. So here, a hundred million spend it, you get there, but you got to factor in the fact that the ways companies win these days is critical mass scale, hitting a flywheel. If they can keep that flywheel of the value that they got going on and get better, you can almost imagine a marketplace where, hey, we have proprietary data, we're SiliconANGLE in theCUBE. We have proprietary content, CUBE videos, transcripts. Well wouldn't it be great if someone in a marketplace could sell a module for us, right? We buy that, Amazon's thing and things like that. So if they can get a marketplace going where you can apply to data sets that may be proprietary, you can start to see this become bigger. And so I think the key barriers to entry is going to be success. I'll give you an example, Reddit. Reddit is successful and it's hard to copy, not because of the software. >> They built the moat. >> Because you can, buy Reddit open source software and try To compete. >> They built the moat with their community. >> Their community, their scale, their user expectation. Twitter, we referenced earlier, that thing should have gone under the first two years, but there was such a great emotional product. People would tolerate the fail whale. And then, you know, well that was a whole 'nother thing. >> Then a plane landed in (John laughs) the Hudson and it was over. >> I think verticals, a lot of verticals will build applications using these models like for lawyers, for doctors, for scientists, for content creators, for- >> So you'll have many hundreds of millions of dollars investments that are going to be seeping out. If, all right, we got to wrap, if you had to put odds on it that that OpenAI is going to be the leader, maybe not a winner take all leader, but like you look at like Amazon and cloud, they're not winner take all, these aren't necessarily winner take all markets. It's not necessarily a zero sum game, but let's call it winner take most. What odds would you give that open AI 10 years from now will be in that position. >> If I'm 0 to 10 kind of thing? >> Yeah, it's like horse race, 3 to 1, 2 to 1, even money, 10 to 1, 50 to 1. >> Maybe 2 to 1, >> 2 to 1, that's pretty low odds. That's basically saying they're the favorite, they're the front runner. Would you agree with that? >> I'd say 4 to 1. >> Yeah, I was going to say I'm like a 5 to 1, 7 to 1 type of person, 'cause I'm a skeptic with, you know, there's so much competition, but- >> I think they're definitely the leader. I mean you got to say, I mean. >> Oh there's no question. There's no question about it. >> The question is can they execute? >> They're not Friendster, is what you're saying. >> They're not Friendster and they're more like Twitter and Reddit where they have momentum. If they can execute on the product side, and if they don't stumble on that, they will continue to have the lead. >> If they say stay neutral, as Sam is, has been saying, that, hey, Microsoft is one of our partners, if you look at their company model, how they have structured the company, then they're going to pay back to the investors, like Microsoft is the biggest one, up to certain, like by certain number of years, they're going to pay back from all the money they make, and after that, they're going to give the money back to the public, to the, I don't know who they give it to, like non-profit or something. (indistinct) >> Okay, the odds are dropping. (group talks over each other) That's a good point though >> Actually they might have done that to fend off the criticism of this. But it's really interesting to see the model they have adopted. >> The wildcard in all this, My last word on this is that, if there's a developer shift in how developers and data can come together again, we have conferences around the future of data, Supercloud and meshs versus, you know, how the data world, coding with data, how that evolves will also dictate, 'cause a wild card could be a shift in the landscape around how developers are using either machine learning or AI like techniques to code into their apps, so. >> That's fantastic insight. I can't thank you enough for your time, on the heels of Supercloud 2, really appreciate it. All right, thanks to John and Sarbjeet for the outstanding conversation today. Special thanks to the Palo Alto studio team. My goodness, Anderson, this great backdrop. You guys got it all out here, I'm jealous. And Noah, really appreciate it, Chuck, Andrew Frick and Cameron, Andrew Frick switching, Cameron on the video lake, great job. And Alex Myerson, he's on production, manages the podcast for us, Ken Schiffman as well. Kristen Martin and Cheryl Knight help get the word out on social media and our newsletters. Rob Hof is our editor-in-chief over at SiliconANGLE, does some great editing, thanks to all. Remember, all these episodes are available as podcasts. All you got to do is search Breaking Analysis podcast, wherever you listen. Publish each week on wikibon.com and siliconangle.com. Want to get in touch, email me directly, david.vellante@siliconangle.com or DM me at dvellante, or comment on our LinkedIn post. And by all means, check out etr.ai. They got really great survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching, We'll see you next time on Breaking Analysis. (electronic music)

(ethereal music) >> Good morning, everyone, and welcome to theCUBE's day-two coverage of Snowflake Summit '22. Lisa Martin here with Dave Vellante. We are live in Las Vegas at Caesar's Forum, looking forward to an action-packed day here on theCUBE. Our first guest joins us, Bill Stratton, the global industry lead, media, entertainment and advertising at Snowflake. Bill, great to have you on the program talking about industry specifics. >> Glad to be here, excited to have a conversation. >> Yeah, the media and entertainment industry has been keeping a lot of us alive the last couple of years, probably more of a dependence on it than we've seen stuck at home. Talk to us about the data culture in the media, entertainment and advertising landscape, how is data being used today? >> Sure. Well, let's start with what you just mentioned, these last couple of years, I think, coming out of the pandemic, a lot of trends and impact to the media industry. I think there were some things happening prior to COVID, right? Streaming services were starting to accelerate. And obviously, Netflix was an early mover. Disney launched their streaming service right before the pandemic, Disney+, with ESPN+ as well. I think then, as the pandemic occurred these last two years, the acceleration of consumers' habits, obviously, of not just unbundling their cable subscription, but then choosing, you know, what services they want to subscribe to, right? I mean, I think we all sort of grew up in this era of, okay, the bundle was the bundle, you had sports, you had news, you had entertainment, whether you watched the channel or not, you had the bundle. And what the pandemic has accelerated is what I call, and I think a lot of folks call, the golden age of content. And really, the golden age of content is about the consumer. They're in control now, they pick and choose what services they want, what they watch, when they watch it. And I think that has extremely, sort of accelerated this adoption on the consumer side, and then it's creating this data ecosystem, as a result of companies like Disney having a direct-to-consumer relationship for the first time. It used to be a Disney or an NBC was a wholesaler, and the cable or satellite company had the consumer data and relationship. Now, the companies that are producing the content have the data and the consumer relationships. It's a fascinating time. >> And they're still coming over the top on the Telco networks, right? >> Absolutely right. >> Telco's playing in this game? >> Yeah, Telco is, I think what the interesting dynamic with Telco is, how do you bundle access, high speed, everybody still needs high speed at their home, with content? And so I think it's a similar bundle, but it takes on a different characteristic, because the cable and Telcos are not taking the content risk. AT&T sold Warner Media recently, and I think they looked at it and said, we're going to stay with the infrastructure, let somebody else do the content. >> And I think I heard, did I hear this right the other day, that Roku is now getting into the content business? >> Roku is getting into it. And they were early mover, right? They said the TVs aren't, the operating system in the television is not changing fast enough for content. So their dongle that you would slide into a TV was a great way to get content on connected televisions, which is the fastest growing platform. >> I was going to say, what are the economics like in this business? Because the bundles were sort of a limiting factor, in terms of the TAM. >> Yeah. >> And now, we get great content, all right, to watch "Better Call Saul", I have to get AMC+ or whatever. >> You know, your comment, your question about the economics and the TAM is an interesting one, because I think we're still working through it. One of the things, I think, that's coming to the forefront is that you have to have a subscription revenue stream. Okay? Netflix had a subscription revenue stream for the last six, eight, 10 years, significantly, but I think you even see with Netflix that they have to go to a second revenue model, which is going to be an ad-supported model, right? We see it in the press these last couple days with Reid Hastings. So I think you're going to see, obviously subscription, obviously ad-supported, but the biggest thing, back to the consumer, is that the consumer's not going to sit through two minutes of advertising to watch a 22 minute show. >> Dave: No way. >> Right? So what's then going to happen is that the content companies want to know what's relevant to you, in terms of advertising. So if I have relevancy in my ad experience, then it doesn't quite feel, it's not intrusive, and it's relevant to my experience. >> And the other vector in the TAM, just one last follow-up, is you see Amazon, with Prime, going consumption. >> Bill: That's right. >> You get it with Prime, it's sort of there, and the movies aren't the best in the world, but you can buy pretty much any movie you want on a consumption basis. >> Yeah. Just to your last quick point, there is, we saw last week, the Boston Red Sox are bundling tickets, season tickets, with a subscription to their streaming service. >> NESN+, I think it is, yeah. So just like Prime, NESN+- >> And it's like 30 bucks a month. >> -just like Prime bundling with your delivery service, you're going to start to see all kinds of bundles happen. >> Dave: Interesting. >> Man, the sky is the limit, it's like it just keeps going and proliferating. >> Bill: It does. >> You talk about, on the ad side for a second, you mentioned the relevance, and we expect that as consumers, we're so demanding, (clears throat) excuse me, we don't have the patience, one of the things I think that was in short supply during COVID, and probably still is, is patience. >> That's right. >> I think with all of us, but we expect that brands know us enough to surf up the content that they think we watched, we watched "Breaking Bad", "Better Call Saul", don't show me other things that aren't relevant to the patterns I've been showing you, the content creators have to adapt quickly to the rising and changing demands of the consumer. >> That's right. Some people even think, as you go forward and consumers have this expectation, like you just mentioned, that brands not only need to understand their own view of the consumer, and this is going to come into the Snowflake points that we talk about in a minute, but the larger view that a brand has about a consumer, not just their own view, but how they consume content, where they consume it, what other brands they even like, that all builds that picture of making it relevant for the consumer and viewer. >> Where does privacy come into the mix? So we want it to be relevant and personalized in a non-creepy way. Talk to us about the data clean rooms that Snowflake launched, >> Bill: That's right. >> and how is that facilitating from a PII perspective, or is it? >> Yeah. Great question. So I think the other major development, in addition to the pandemic, driving people watching all these shows is the fact that privacy legislation is increasing. So we started with California with the CCPA, we had GDPR in Europe, and what we're starting to see is state by state roll out different privacy legislations. At some point, it may be true that we have a federal privacy legislation, and there are some bills that are working through the legislature right now. Hard to tell what's going to happen. But to your question, the importance of privacy, and respecting privacy, is exactly happening at the same time that media companies and publishers need to piece together all the viewing habits that you have. You've probably watched, already this morning, on your PC, on your phone, and in order to bring that experience together a media company has to be able to tie that together, right? Collaborate. So you have collaboration on one side, and then you have privacy on the other, and they're not necessarily, normally, go together, Right? They're opposing forces. So now though, with Snowflake, and our data clean room, we like to call it a data collaboration platform, okay? It's not really what a data warehouse function traditionally has been, right? So if I can take data collaboration, and our clean room, what it does is it brings privacy controls to the participants. So if I'm an advertiser, and I'm a publisher, and I want to collaborate to create an advertising campaign, they both can design how they want to do that privacy-based collaboration, Because it's interesting, one company might have a different perspective of privacy, on a risk profile, than another company. So it's very hard to say one size is going to fit all. So what we at Snowflake do, with our infrastructure, is let you design how you create your own clean room. >> Is that a differentiator for Snowflake, the clean rooms? >> It's absolutely a very big differentiator. Two reasons, or probably two, three reasons, really. One is, it's cross cloud. So all the advertisers aren't going to be in the same cloud, all the publishers aren't going to be in the same cloud. One big differentiator there. Second big differentiator is, we want to be able to bring applications to the data, so our clean room can enable you to create measurement against an ad campaign without moving your data. So bringing measurement to the data, versus sending data to applications then improves the privacy. And then the third one is, frankly, our pricing model. You only pay for Snowflake what you use. So in the advertising world, there's what's called an ad tech tax, there is no ad tech tax for Snowflake, because we're simply a pay-as-you-go service. So it's a very interesting dynamic. >> So what's that stack look like, in your world? So I've pulled up Frank's chart, I took a picture of his, he's called it the new, modern data stack, I think he called it, but it had infrastructure in the bottom, okay, that's AWS, Google, Azure, and then a lot of you, live data, that would be the media data cloud, the workload execution, the specific workload here is media and entertainment, and then application development, that's a new layer of value that you're bringing in, marketplace, which is the whole ecosystem, and then monetization comes from building on top. >> Bill: Yes. >> So I got AWS in there, and other clouds, you got a big chunk of that, where do your customers add value on top of that? >> Yeah. So the way you described it, I think, with Frank's point, is right on. You have the infrastructure. We know that a lot of advertisers, for example, aren't going to use Amazon, because the retailer competes with Amazon, So they want to might be in Google or Azure. And then sort of as you go up the stack, for the data layer that is Snowflake, especially what we call first-party data, is sitting in that Snowflake environment, right? But that Snowflake environment is a distributed environment, so a Disney, who was on stage with me yesterday, she talked about, Jaya talked about their first-party datas in Snowflake, their advertisers' datas in their own Snowflake account, in their own infrastructure. And then what's interesting is is that application layer is coming to the data, and so what we're really seeing is an acceleration of companies building that application natively on Snowflake to do measurement, to do targeting, to do activation. And so, that growth of that final application layer is what we're seeing as the acceleration in the stack. >> So the more data that's in that massive distributed data cloud, the more value your customers can get out of it. And I would imagine you're just looking to tick things off that where customers are going outside of the Snowflake data cloud, let's attack that so they don't have to. >> Yeah, I think these partners, (clears throat) excuse me, and customers, it's an interesting dynamic, because they're customers of ours. But now, because anybody who is already in Snowflake can be their customer, then they're becoming our partner. So it's an interesting dynamic, because we're bringing advertisers to a Disney or an NBCU, because they already have their data in Snowflake. So the network effect that's getting created because of this layer that's being built is accelerated. >> In 2013, right after the second reinvent, I wrote a piece called "How to Compete with the Amazon Gorilla." And it seemed to us pretty obvious at the time, you're not going to win an infrastructure again, you got to build on top of it, you got to build ecosystems within industries, and the data, the connection points, that network effect that you just talked about, it's actually quite thrilling to see you guys building that. >> Well, and I think you know this too, I mean, Amazon's a great partner of ours as well, right? So they're part of our media data cloud, as Amazon, right? So we're making it easier and easier for companies to be able to spin up a clean room in places like AWS, so that they get the privacy controls and the governance that's required as well. >> What do you advise to, say, the next generation of media and advertising companies who may be really early in the data journey? Obviously, there's competition right here in the rear view mirror, but we've seen services that launch and fail, what do you advise to those folks that maybe are early in the journey and how can Snowflake help them accelerate that to be able to launch services they can monetize, and get those consumers watching? >> I think the first thing for a lot of these brands is that they need to really own their data. And what I mean by that is, they need to understand the consumer relationship that they have, they need to take the privacy and the governance very seriously, and they need to start building that muscle. It's almost, it's a routine and a muscle that they just need to continue to kind of build up, because if you think about it, a media company spends two, three hours a day with their customer. You might watch two hours of a streaming show, but how much time do you spend with a single brand a day? Maybe 30 seconds, maybe 10 seconds, right? And so, their need to build the muscle, to be able to collect the data in a privacy-compliant way, build the intelligence off of that, and then leverage the intelligence. We talked about it a few days ago, and you look at a retailer, as a really good example, a retailer is using Snowflake and the retail data cloud to optimize their supply chain. Okay? But their supply chain extends beyond their own infrastructure to the advertising and marketing community, because if I can't predict demand, how do I then connect it to my supply chain? So our media data cloud is helping retailers and consumer product goods companies actually drive demand into their reconstructed supply chain. So they both work together. >> So you have a big focus, obviously, on the monetization piece, of course, that's a great place to start. Where do you see the media data cloud going? >> Yeah. I think we'll start to expand beyond advertising and beyond marketing. There's really important sub-segments of media. Gaming is one. You talk about the pandemic and teenagers playing games on their phones. So we'll have an emphasis around gaming. We'll have an emphasis in sports. Sports is going through a big change in an ecosystem. And there's a big opportunity to connect the dots in those ecosystems as well. And then I think, to what we were just talking about, I think connecting commerce and media is a very important area. And I think the two are still very loosely connected today. It used to be, could I buy the Jennifer Aniston sweater from "Friends", right? That was always the analogy. Now, media and social media, and TikTok and everything else, are combining media and commerce very closely. So I think we'll start to see more focus around that as well. So that adds to your monetization. >> Right, right. And you can NFT that. (Lisa laughs) >> Bill: That's right, there you go, you can mint an NFT on that. >> It's the tip of the iceberg. >> Absolutely. >> There's so much more potential to go. Bill, thank you so much for joining us bright and early this morning, talking about what snowflake is doing in media, entertainment and advertising. Exciting stuff, relevant to all of us, we appreciate your insights and your forward-looking statements. >> Thank you for having me. I enjoyed it. >> Our pleasure. >> Thank you. >> Good >> Bill: Bye now. >> For our guest and Dave Vellante, I'm Lisa Martin, you're up early with us watching theCUBE's day-two coverage of Snowflake Summit '22. We'll be back in a moment with our next guest. (upbeat music)

>> From theCUBE studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is braking analysis with Dave Vellante. >> A new era of data is upon us, and we're in a state of transition. You know, even our language reflects that. We rarely use the phrase big data anymore, rather we talk about digital transformation or digital business, or data-driven companies. Many have come to the realization that data is a not the new oil, because unlike oil, the same data can be used over and over for different purposes. We still use terms like data as an asset. However, that same narrative, when it's put forth by the vendor and practitioner communities, includes further discussions about democratizing and sharing data. Let me ask you this, when was the last time you wanted to share your financial assets with your coworkers or your partners or your customers? Hello everyone, and welcome to this week's Wikibon Cube Insights powered by ETR. In this breaking analysis, we want to share our assessment of the state of the data business. We'll do so by looking at the data mesh concept and how a leading financial institution, JP Morgan Chase is practically applying these relatively new ideas to transform its data architecture. Let's start by looking at what is the data mesh. As we've previously reported many times, data mesh is a concept and set of principles that was introduced in 2018 by Zhamak Deghani who's director of technology at ThoughtWorks, it's a global consultancy and software development company. And she created this movement because her clients, who were some of the leading firms in the world had invested heavily in predominantly monolithic data architectures that had failed to deliver desired outcomes in ROI. So her work went deep into trying to understand that problem. And her main conclusion that came out of this effort was the world of data is distributed and shoving all the data into a single monolithic architecture is an approach that fundamentally limits agility and scale. Now a profound concept of data mesh is the idea that data architectures should be organized around business lines with domain context. That the highly technical and hyper specialized roles of a centralized cross functional team are a key blocker to achieving our data aspirations. This is the first of four high level principles of data mesh. So first again, that the business domain should own the data end-to-end, rather than have it go through a centralized big data technical team. Second, a self-service platform is fundamental to a successful architectural approach where data is discoverable and shareable across an organization and an ecosystem. Third, product thinking is central to the idea of data mesh. In other words, data products will power the next era of data success. And fourth data products must be built with governance and compliance that is automated and federated. Now there's lot more to this concept and there are tons of resources on the web to learn more, including an entire community that is formed around data mesh. But this should give you a basic idea. Now, the other point is that, in observing Zhamak Deghani's work, she is deliberately avoided discussions around specific tooling, which I think has frustrated some folks because we all like to have references that tie to products and tools and companies. So this has been a two-edged sword in that, on the one hand it's good, because data mesh is designed to be tool agnostic and technology agnostic. On the other hand, it's led some folks to take liberties with the term data mesh and claim mission accomplished when their solution, you know, maybe more marketing than reality. So let's look at JP Morgan Chase in their data mesh journey. Is why I got really excited when I saw this past week, a team from JPMC held a meet up to discuss what they called, data lake strategy via data mesh architecture. I saw that title, I thought, well, that's a weird title. And I wondered, are they just taking their legacy data lakes and claiming they're now transformed into a data mesh? But in listening to the presentation, which was over an hour long, the answer is a definitive no, not at all in my opinion. A gentleman named Scott Hollerman organized the session that comprised these three speakers here, James Reid, who's a divisional CIO at JPMC, Arup Nanda who is a technologist and architect and Serita Bakst who is an information architect, again, all from JPMC. This was the most detailed and practical discussion that I've seen to date about implementing a data mesh. And this is JP Morgan's their approach, and we know they're extremely savvy and technically sound. And they've invested, it has to be billions in the past decade on data architecture across their massive company. And rather than dwell on the downsides of their big data past, I was really pleased to see how they're evolving their approach and embracing new thinking around data mesh. So today, we're going to share some of the slides that they use and comment on how it dovetails into the concept of data mesh that Zhamak Deghani has been promoting, and at least as we understand it. And dig a bit into some of the tooling that is being used by JP Morgan, particularly around it's AWS cloud. So the first point is it's all about business value, JPMC, they're in the money business, and in that world, business value is everything. So Jr Reid, the CIO showed this slide and talked about their overall goals, which centered on a cloud first strategy to modernize the JPMC platform. I think it's simple and sensible, but there's three factors on which he focused, cut costs always short, you got to do that. Number two was about unlocking new opportunities, or accelerating time to value. But I was really happy to see number three, data reuse. That's a fundamental value ingredient in the slide that he's presenting here. And his commentary was all about aligning with the domains and maximizing data reuse, i.e. data is not like oil and making sure there's appropriate governance around that. Now don't get caught up in the term data lake, I think it's just how JP Morgan communicates internally. It's invested in the data lake concept, so they use water analogies. They use things like data puddles, for example, which are single project data marts or data ponds, which comprise multiple data puddles. And these can feed in to data lakes. And as we'll see, JPMC doesn't strive to have a single version of the truth from a data standpoint that resides in a monolithic data lake, rather it enables the business lines to create and own their own data lakes that comprise fit for purpose data products. And they do have a single truth of metadata. Okay, we'll get to that. But generally speaking, each of the domains will own end-to-end their own data and be responsible for those data products, we'll talk about that more. Now the genesis of this was sort of a cloud first platform, JPMC is leaning into public cloud, which is ironic since the early days, in the early days of cloud, all the financial institutions were like never. Anyway, JPMC is going hard after it, they're adopting agile methods and microservices architectures, and it sees cloud as a fundamental enabler, but it recognizes that on-prem data must be part of the data mesh equation. Here's a slide that starts to get into some of that generic tooling, and then we'll go deeper. And I want to make a couple of points here that tie back to Zhamak Deghani's original concept. The first is that unlike many data architectures, this puts data as products right in the fat middle of the chart. The data products live in the business domains and are at the heart of the architecture. The databases, the Hadoop clusters, the files and APIs on the left-hand side, they serve the data product builders. The specialized roles on the right hand side, the DBA's, the data engineers, the data scientists, the data analysts, we could have put in quality engineers, et cetera, they serve the data products. Because the data products are owned by the business, they inherently have the context that is the middle of this diagram. And you can see at the bottom of the slide, the key principles include domain thinking, an end-to-end ownership of the data products. They build it, they own it, they run it, they manage it. At the same time, the goal is to democratize data with a self-service as a platform. One of the biggest points of contention of data mesh is governance. And as Serita Bakst said on the Meetup, metadata is your friend, and she kind of made a joke, she said, "This sounds kind of geeky, but it's important to have a metadata catalog to understand where data resides and the data lineage in overall change management. So to me, this really past the data mesh stink test pretty well. Let's look at data as products. CIO Reid said the most difficult thing for JPMC was getting their heads around data product, and they spent a lot of time getting this concept to work. Here's the slide they use to describe their data products as it related to their specific industry. They set a common language and taxonomy is very important, and you can imagine how difficult that was. He said, for example, it took a lot of discussion and debate to define what a transaction was. But you can see at a high level, these three product groups around wholesale, credit risk, party, and trade and position data as products, and each of these can have sub products, like, party, we'll have to know your customer, KYC for example. So a key for JPMC was to start at a high level and iterate to get more granular over time. So lots of decisions had to be made around who owns the products and the sub-products. The product owners interestingly had to defend why that product should even exist, what boundaries should be in place and what data sets do and don't belong in the various products. And this was a collaborative discussion, I'm sure there was contention around that between the lines of business. And which sub products should be part of these circles? They didn't say this, but tying it back to data mesh, each of these products, whether in a data lake or a data hub or a data pond or data warehouse, data puddle, each of these is a node in the global data mesh that is discoverable and governed. And supporting this notion, Serita said that, "This should not be infrastructure-bound, logically, any of these data products, whether on-prem or in the cloud can connect via the data mesh." So again, I felt like this really stayed true to the data mesh concept. Well, let's look at some of the key technical considerations that JPM discussed in quite some detail. This chart here shows a diagram of how JP Morgan thinks about the problem, and some of the challenges they had to consider were how to write to various data stores, can you and how can you move data from one data store to another? How can data be transformed? Where's the data located? Can the data be trusted? How can it be easily accessed? Who has the right to access that data? These are all problems that technology can help solve. And to address these issues, Arup Nanda explained that the heart of this slide is the data in ingestor instead of ETL. All data producers and contributors, they send their data to the ingestor and the ingestor then registers the data so it's in the data catalog. It does a data quality check and it tracks the lineage. Then, data is sent to the router, which persists the data in the data store based on the best destination as informed by the registration. This is designed to be a flexible system. In other words, the data store for a data product is not fixed, it's determined at the point of inventory, and that allows changes to be easily made in one place. The router simply reads that optimal location and sends it to the appropriate data store. Nowadays you see the schema infer there is used when there is no clear schema on right. In this case, the data product is not allowed to be consumed until the schema is inferred, and then the data goes into a raw area, and the inferer determines the schema and then updates the inventory system so that the data can be routed to the proper location and properly tracked. So that's some of the detail of how the sausage factory works in this particular use case, it was very interesting and informative. Now let's take a look at the specific implementation on AWS and dig into some of the tooling. As described in some detail by Arup Nanda, this diagram shows the reference architecture used by this group within JP Morgan, and it shows all the various AWS services and components that support their data mesh approach. So start with the authorization block right there underneath Kinesis. The lake formation is the single point of entitlement and has a number of buckets including, you can see there the raw area that we just talked about, a trusted bucket, a refined bucket, et cetera. Depending on the data characteristics at the data catalog registration block where you see the glue catalog, that determines in which bucket the router puts the data. And you can see the many AWS services in use here, identity, the EMR, the elastic MapReduce cluster from the legacy Hadoop work done over the years, the Redshift Spectrum and Athena, JPMC uses Athena for single threaded workloads and Redshift Spectrum for nested types so they can be queried independent of each other. Now remember very importantly, in this use case, there is not a single lake formation, rather than multiple lines of business will be authorized to create their own lakes, and that creates a challenge. So how can that be done in a flexible and automated manner? And that's where the data mesh comes into play. So JPMC came up with this federated lake formation accounts idea, and each line of business can create as many data producer or consumer accounts as they desire and roll them up into their master line of business lake formation account. And they cross-connect these data products in a federated model. And these all roll up into a master glue catalog so that any authorized user can find out where a specific data element is located. So this is like a super set catalog that comprises multiple sources and syncs up across the data mesh. So again to me, this was a very well thought out and practical application of database. Yes, it includes some notion of centralized management, but much of that responsibility has been passed down to the lines of business. It does roll up to a master catalog, but that's a metadata management effort that seems compulsory to ensure federated and automated governance. As well at JPMC, the office of the chief data officer is responsible for ensuring governance and compliance throughout the federation. All right, so let's take a look at some of the suspects in this world of data mesh and bring in the ETR data. Now, of course, ETR doesn't have a data mesh category, there's no such thing as that data mesh vendor, you build a data mesh, you don't buy it. So, what we did is we use the ETR dataset to select and filter on some of the culprits that we thought might contribute to the data mesh to see how they're performing. This chart depicts a popular view that we often like to share. It's a two dimensional graphic with net score or spending momentum on the vertical axis and market share or pervasiveness in the data set on the horizontal axis. And we filtered the data on sectors such as analytics, data warehouse, and the adjacencies to things that might fit into data mesh. And we think that these pretty well reflect participation that data mesh is certainly not all compassing. And it's a subset obviously, of all the vendors who could play in the space. Let's make a few observations. Now as is often the case, Azure and AWS, they're almost literally off the charts with very high spending velocity and large presence in the market. Oracle you can see also stands out because much of the world's data lives inside of Oracle databases. It doesn't have the spending momentum or growth, but the company remains prominent. And you can see Google Cloud doesn't have nearly the presence in the dataset, but it's momentum is highly elevated. Remember that red dotted line there, that 40% line, anything over that indicates elevated spending momentum. Let's go to Snowflake. Snowflake is consistently shown to be the gold standard in net score in the ETR dataset. It continues to maintain highly elevated spending velocity in the data. And in many ways, Snowflake with its data marketplace and its data cloud vision and data sharing approach, fit nicely into the data mesh concept. Now, a caution, Snowflake has used the term data mesh in it's marketing, but in our view, it lacks clarity, and we feel like they're still trying to figure out how to communicate what that really is. But is really, we think a lot of potential there to that vision. Databricks is also interesting because the firm has momentum and we expect further elevated levels in the vertical axis in upcoming surveys, especially as it readies for its IPO. The firm has a strong product and managed service, and is really one to watch. Now we included a number of other database companies for obvious reasons like Redis and Mongo, MariaDB, Couchbase and Terradata. SAP as well is in there, but that's not all database, but SAP is prominent so we included them. As is IBM more of a database, traditional database player also with the big presence. Cloudera includes Hortonworks and HPE Ezmeral comprises the MapR business that HPE acquired. So these guys got the big data movement started, between Cloudera, Hortonworks which is born out of Yahoo, which was the early big data, sorry early Hadoop innovator, kind of MapR when it's kind of owned course, and now that's all kind of come together in various forms. And of course, we've got Talend and Informatica are there, they are two data integration companies that are worth noting. We also included some of the AI and ML specialists and data science players in the mix like DataRobot who just did a monster $250 million round. Dataiku, H2O.ai and ThoughtSpot, which is all about democratizing data and injecting AI, and I think fits well into the data mesh concept. And you know we put VMware Cloud in there for reference because it really is the predominant on-prem infrastructure platform. All right, let's wrap with some final thoughts here, first, thanks a lot to the JP Morgan team for sharing this data. I really want to encourage practitioners and technologists, go to watch the YouTube of that meetup, we'll include it in the link of this session. And thank you to Zhamak Deghani and the entire data mesh community for the outstanding work that you're doing, challenging the established conventions of monolithic data architectures. The JPM presentation, it gives you real credibility, it takes Data Mesh well beyond concept, it demonstrates how it can be and is being done. And you know, this is not a perfect world, you're going to start somewhere and there's going to be some failures, the key is to recognize that shoving everything into a monolithic data architecture won't support massive scale and agility that you're after. It's maybe fine for smaller use cases in smaller firms, but if you're building a global platform in a data business, it's time to rethink data architecture. Now much of this is enabled by the cloud, but cloud first doesn't mean cloud only, doesn't mean you'll leave your on-prem data behind, on the contrary, you have to include non-public cloud data in your Data Mesh vision just as JPMC has done. You've got to get some quick wins, that's crucial so you can gain credibility within the organization and grow. And one of the key takeaways from the JP Morgan team is, there is a place for dogma, like organizing around data products and domains and getting that right. On the other hand, you have to remain flexible because technologies is going to come, technology is going to go, so you got to be flexible in that regard. And look, if you're going to embrace the metaphor of water like puddles and ponds and lakes, we suggest maybe a little tongue in cheek, but still we believe in this, that you expand your scope to include data ocean, something John Furry and I have talked about and laughed about extensively in theCUBE. Data oceans, it's huge. It's the new data lake, go transcend data lake, think oceans. And think about this, just as we're evolving our language, we should be evolving our metrics. Much the last the decade of big data was around just getting the stuff to work, getting it up and running, standing up infrastructure and managing massive, how much data you got? Massive amounts of data. And there were many KPIs built around, again, standing up that infrastructure, ingesting data, a lot of technical KPIs. This decade is not just about enabling better insights, it's a more than that. Data mesh points us to a new era of data value, and that requires the new metrics around monetizing data products, like how long does it take to go from data product conception to monetization? And how does that compare to what it is today? And what is the time to quality if the business owns the data, and the business has the context? the quality that comes out of them, out of the shoot should be at a basic level, pretty good, and at a higher mark than out of a big data team with no business context. Automation, AI, and very importantly, organizational restructuring of our data teams will heavily contribute to success in the coming years. So we encourage you, learn, lean in and create your data future. Okay, that's it for now, remember these episodes, they're all available as podcasts wherever you listen, all you got to do is search, breaking analysis podcast, and please subscribe. Check out ETR's website at etr.plus for all the data and all the survey information. We publish a full report every week on wikibon.com and siliconangle.com. And you can get in touch with us, email me david.vellante@siliconangle.com, you can DM me @dvellante, or you can comment on my LinkedIn posts. This is Dave Vellante for theCUBE insights powered by ETR. Have a great week everybody, stay safe, be well, and we'll see you next time. (upbeat music)

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. >>Everyone welcome to the cubes Live coverage of AWS reinvent 2020 virtual were virtual this year We are the Cube Virtual I'm your host John for a joint day Volonte for keynote analysis Andy Jassy just delivered his live keynote. This is our live keynote analysis. Dave. Great to see you, Andy Jassy again. You know their eight year covering reinvent their ninth year. We're virtual. We're not in person. We're doing it. >>Great to see you, John. Even though we're 3000 miles apart, we both have the covert here. Do going Happy birthday, my friend. >>Thank you. Congratulations. Five years ago I was 50 and they had the cake on stage and on the floor. There's no floor, this year's virtual and I think one of the things that came out of Andy Jessie's keynote, obviously, you know, I met with him earlier. Telegraph some of these these moves was one thing that surprised me. He came right out of the gate. He acknowledged that social change, the cultural shift. Um, that was interesting but he went in and did his normal end to end. Slew of announcements, big themes around pivoting. And he brought kind of this business school kind of leadership vibe to the table early talking about what people are experiencing companies like ourselves and others around the change and cultural change around companies and leadership. It takes for the cloud. And this was a big theme of reinvent, literally like, Hey, don't hold on to the old And I kept thinking to myself, David, you and I both are Historians of the tech industry remind me of when I was young, breaking into the business, the mainframe guys and gals, they were hugging onto those mainframes as long as they could, and I looked at it like That's not gonna be around much longer. And they kept No, it's gonna be around. This is this is the state of the art, and then the extinction. Instantly this feels like cloud moment, where it's like it's the wake up call. Hey, everyone doing it the old way. You're done. This is it. But you know, this is a big theme. >>Yes. So, I mean, how do you curate 2.5 3 hours of Andy Jassy. So I tried to break it down at the three things in addition to what you just mentioned about him acknowledging the social unrest and and the inequalities, particularly with black people. Uh, but so I had market leadership. And there's some nuance there that if we have time, I'd love to talk about, uh, the feature innovation. I mean, that was the bulk of his presentation, and I was very pleased. I wrote a piece this weekend. As you know, talk about Cloud 2030 and my main focus was the last 10 years about I t transformation the next 10 years. They're gonna be about organizational and business and industry transformation. I saw a lot of that in jazz ces keynote. So you know, where do you wanna go? We've only got a few minutes here, John, >>but let's break. Let's break down the high level theme before we get into the announcement. The thematic part was, it's about reinventing 2020. The digital transformation is being forced upon us. Either you're in the cloud or you're not in the cloud. Either way, you got to get to the cloud for to survive in this post covert error. Um, you heard a lot about redefining compute new chips, custom chips. They announced the deal with Intel, but then he's like we're better and faster on our custom side. That was kind of a key thing, this high idea of computing, I think that comes into play with edge and hybrid. The other thing that was notable was Jessie's almost announcement of redefining hybrid. There's no product announcement, but he was essentially announcing. Hybrid is changed, and he was leaning forward with his definition of redefining what hybrid cloud is. And I think that to me was the biggest, um, signal. And then finally, what got my attention was the absolute overt call out of Microsoft and Oracle, and, you know, suddenly, behind the scenes on the database shift we've been saying for multiple times. Multiple databases in the cloud he laid that out, said there will be no one thing to rule anything. No databases. And he called out Microsoft would look at Microsoft. Some people like cloud wars. Bob Evans, our good friend, claims that Microsoft been number one in the cloud for like like year, and it's just not true right. That's just not number one. He used his revenue a za benchmark. And if you look at Microsoft's revenue, bulk of it is from propped up from Windows Server and Sequel Server. They have Get up in there that's new. And then a bunch of professional services and some eyes and passed. If you look at true cloud revenue, there's not much there, Dave. They're definitely not number one. I think Jassy kind of throws a dagger in there with saying, Hey, if you're paying for licenses mawr on Amazon versus Azure that's old school shenanigans or sales tactics. And he called that out. That, to me, was pretty aggressive. And then So I finally just cove in management stuff. Democratizing machine learning. >>Let me pick up on a couple things. There actually were a number of hybrid announcements. Um, E C s anywhere E k s anywhere. So kubernetes anywhere containers anywhere smaller outposts, new local zones, announced 12 new cities, including Boston, and then Jesse rattle them off and made a sort of a joke to himself that you made that I remembered all 12 because the guy uses no notes. He's just amazing. He's up there for three hours, no notes and then new wavelength zones for for the five g edge. So actually a lot of hybrid announcements, basically, to your point redefining hybrid. Basically, bringing the cloud to the edge of which he kind of redefined the data center is just sort of another edge location. >>Well, I mean, my point was Is that my point is that he Actually, Reid said it needs to be redefined. Any kind of paused there and then went into the announcements. And, you know, I think you know, it's funny how you called out Microsoft. I was just saying which I think was really pivotal. We're gonna dig into that Babel Babel Fish Open source thing, which could be complete competitive strategy, move against Microsoft. But in a way, Dave Jassy is pulling and Amazon's pulling the same move Microsoft did decades ago. Remember, embrace and extend right Bill Gates's philosophy. This is kind of what they're doing. They have embraced hybrid. They have embraced the data center. They're extending it out. You're seeing outpost, You see, five g, You're seeing these I o t edge points. They're putting Amazon everywhere. That was my take away. They call it Amazon anywhere. I think it's everywhere. They want cloud operations everywhere. That's the theme that I see kind of bubbling out there saying, Hey, we're just gonna keep keep doing this. >>Well, what I like about it is and I've said this for a long time now that the edge is gonna be one by developers. And so they essentially taking AWS and the data center is an AP, and they're bringing that data center is an A P I virtually everywhere. As you're saying, I wanna go back to something you said about leadership and Microsoft and the numbers because I've done a lot of homework on this Aziz, you know, And so Jassy made the point. He makes this point a lot that it's not about the the actual growth rate. Yeah, the other guys, they're growing faster. But there were growing from a much larger base and I want to share with you a nuance because he said he talked about how AWS grew incrementally 10 billion and only took him 12 months. I have quarterly forecast and I've published these on Wiki Bond, a silicon angle. And if you look at the quarterly numbers and now this is an estimate, John. But for Q four, I've got Amazon growing at 25%. That's a year on year as you're growing to 46% and Google growing at 50% 58%. So Google and and Azure much, much higher growth rates that than than Amazon. But what happens when you look at the absolute numbers? From Q three to Q four, Amazon goes from 11.6 billion to 12.4 billion. Microsoft actually stays flat at around 6.76 point eight billion. Google actually drops sequentially. Now I'm talking about sequentially, even though they have 58% growth. So the point of the Jazz is making is right on. He is the only company growing at half the growth rate year on year, but it's sequential. Revenues are the only of the Big Three that are growing, so that's the law of large numbers. You grow more slowly, but you throw off more revenue. Who would you rather be? >>I think I mean, it's clearly that Microsoft's not number one. Amazon's number one cloud certainly infrastructure as a service and pass major themes in the now so we won't go through. We're digging into the analyst Sessions would come at two o'clock in three o'clock later, but they're innovating on those two. They want they one that I would call this member. Jasio says, Oh, we're in the early innings Inning one is I as and pass. Amazon wins it all. They ran the table, No doubt. Now inning to in the game is global. I t. That was a really big part of the announcement. People might have missed that. If you if you're blown away by all the technical and complexity of GP three volumes for EBS and Aurora Surveillance V two or sage maker Feature store and Data Wrangler Elastic. All that all that complex stuff the one take away is they're going to continue to innovate. And I, as in past and the new mountain that they're gonna Klima's global I t spin. That's on premises. Cloud is eating the world and a W s is hungry for on premises and the edge. You're going to see massive surge for those territories. That's where the big spend is gonna be. And that's why you're seeing a big focus on containers and kubernetes and this kind of connective tissue between the data machine layer, modern app layer and full custom. I as on the on the bottom stack. So they're kind of just marching along to the cadence of, uh, Andy Jassy view here, Dave, that, you know, they're gonna listen to customers and keep sucking it in Obama's well and pushing it out to the edge. And and we've set it on the Cube many years. The data center is just a big edge. And that's what Jassy is basically saying here in the keynote. >>Well, and when when Andy Jassy gets pushed on Well, yes, you listen to customers. What about your partners? You know, he'll give examples of partners that are doing very well. And of course we have many. But as we've often said in the Cube, John, if you're a partner in the ecosystem, you gotta move fast. There were three interesting feature announcements that I thought were very closely related to other things that we've seen before. The high performance elastic block storage. I forget the exact name of it, but SAN in a cloud the first ever SAN in the cloud it reminds me of something that pure storage did last year and accelerate so very, very kind of similar. And then the aws glue elastic views. It was sort of like snowflake's data cloud. Now, of course, AWS has many, many more databases that they're connecting, You know, it, uh, stuff like as one. But the way AWS does it is they're copying and moving data and doing change data management. So what snowflake has is what I would consider a true global mesh. And then the third one was quicksight que That reminded me of what thought spots doing with search and analytics and AI. So again, if you're an ecosystem partner, you gotta move fast and you've got to keep innovating. Amazon's gonna do what it has to for customers. >>I think Amazon's gonna have their playbooks when it's all said and done, you know, Do they eat the competition up? I think what they do is they have to have the match on the Amazon side. They're gonna have ah, game and play and let the partners innovate. They clearly need that ecosystem message. That's a key thing. Um, love the message from them. I think it's a positive story, but as you know it's Amazons. This is their Kool Aid injection moment, David. Educational or a k A. Their view of the world. My question for you is what's your take on what wasn't said If you were, you know, as were in the virtual audience, what should have been talk about? What's the reality? What's different? What didn't they hit home? What could they have done? What, your critical analysis? >>Well, I mean, I'm not sure it should have been said, but certainly what wasn't said is the recognition that multi cloud is an opportunity. And I think Amazon's philosophy or belief at the current time is that people aren't spreading workloads, same workload across multiple clouds and splitting them up. What they're doing is they're hedging bets. Maybe they're going 70 30 90 10, 60 40. But so multi cloud, from Amazon standpoint is clearly not the opportunity that everybody who doesn't have a cloud or also Google, whose no distant third in cloud says is a huge opportunity. So it doesn't appear that it's there yet, so that was I wouldn't call it a miss, but it's something that, to me, was a take away that Amazon does not currently see that there's something that customers are clamoring for. >>There's so many threads in here Were unpacked mean Andy does leave a lot of, you know, signature stories that lines in there. Tons of storylines. You know, I thought one thing that that mass Amazon's gonna talk about this is not something that promotes product, but trend allies. I think one thing that I would have loved to Seymour conversation around is what I call the snowflake factor. It snowflake built their business on Amazon. I think you're gonna see a tsunami of kind of new cloud service providers. Come on the scene building on top of AWS in a major way of like, that kind of value means snowflake went public, uh, to the level of no one's ever seen ever in the history of N Y s e. They're on Amazon. So I call that the the next tier cloud scale value. That was one thing I'd like to see. I didn't hear much about the global i t number penetration love to hear more about that and the thing that I would like to have heard more. But Jassy kind of touched a little bit on it was that, he said at one point, and when he talked about the verticals that this horizontal disruption now you and I both know we've been seeing on the queue for years. It's horizontally scalable, vertically specialized with the data, and that's kind of what Amazon's been doing for the past couple of years. And it's on full display here, horizontal integration value with the data and then use machine learning with the modern applications, you get the best of both worlds. He actually called that out on this keynote. So to me, that is a message to all entrepreneurs, all innovators out there that if you wanna change the position in the industry of your company, do those things. There's an opportunity right now to integrate with the cloud to disrupt horizontally, but then on the vertical. So that will be very interesting to see how that plays out. >>And eventually you mentioned Snowflake and I was talking about multi cloud snowflake talks about multi cloud a lot, but I don't even think what they're doing is multi cloud. I think what they're doing is building a data cloud across clouds and their abstracting that infrastructure and so to me, That's not multi Cloud is in. Hey, I run on Google or I run on the AWS or I run on Azure ITT's. I'm abstracting that making that complexity disappeared, I'm creating an entirely new cloud at scale. Quite different. >>Okay, we gotta break it there. Come back into our program. It's our live portion of Cube Live and e. K s Everywhere day. That's multi cloud. If they won't say, that's what I'll say it for them, but the way we go, more live coverage from here at reinvent virtual. We are virtual Cuban John for Dave a lot. They'll be right back.

from the cube studios in Palo Alto in Boston connecting with thought leaders all around the world this is a cube conversation hey welcome back here writer jeff rick here with the cube we're in our Palo Alto studios you know kind of continuing our leadership coverage reaching out to the community for people that we've got in our community to get their take on you know how they're dealing with the Kovach crisis how they're helping to contribute back to the community to to bring their resources to bear and you know just some general good tips and tricks of getting through these kind of challenging times and we're really excited to have one of my favorite guests he's being used to come on all the time we haven't had them on for three years which I can't believe it sabi Mehta the CEO of true SATA founder to say to obby I checked the record I can't believe it's been three years since we last that down great to see you Jeff there's well first of all it's always a pleasure and I think the only person to blame for that is you Jeff well I will make sure that it doesn't happen again so in just a check-in how's things going with the family the company thank you for asking you know family is great we have I've got two young kids who have become video conferencing experts and they don't teach me the tricks for it which I'm sure is happening a lot of families around the world and the team is great we vent remote at this point almost almost two months ago down and can't complain I think their intellectual property business like you are so it's been a little easier for us to go remote compared to a lot of other businesses in the world and in America but no complaints it'll be very fortunate we are glad that we have a business and a company that can withstand the the economic uncertainty and the family's great I hope the same for the queue family I haven't seen Dave and John and it's good to see you again and I hope all of you guys are helped happy and healthy great I think in we're good so thank you for asking so let's jump into it you know one of the things that I've always loved about you is you know really your sense of culture and this kind of constant reinforcing of culture in your social media posts and the company blog post at true SATA you know celebrating your interns and and you really have a good pulse for that and you know I just I think we may even talked about it before about you know kind of the CEOs and leadership and and social media those that do and that and those that don't and you know I think it's it's probably from any kind of a risk reward trade-off you know I could say something group it versus what am I getting at it but really it's super important and in these times with the distributed workforce that the the importance and value of communicating and culture and touching your people frequently across a lot of different mediums and topic areas is is more important than ever before share with us kind of your strategy why did you figure this out early how have you you know kind of adjusted you know your method of keeping your team up and communicating absolutely like I guess I owe you guys a little bit of gratitude for it which is we launched our company and you know I'm showing a member on the cube it was a social media launch you know if you say that say it like that I think there are two or three things that are very important Jeff and you hit on all of them one is the emphasis on information sharing it becomes more important than times like these and we as as a society value the ability to share a positive conversation of positive perspective and a positive outlook more but since day zero at the seder we've had this philosophy that there are no secrets it is important to be open and transparent both inside and outside the company and that our legacy is going to be defined by what we do for the community and not just what we do for our shareholders and by its very nature the fact that you know I grew up in a different continent now live and call America now a different continent my home I guess I was it's very important for me to stay connected to my roots it is a good memory or reminder that the world is very interconnected unfortunately the pandemic is the is the best or worst example of it in a really weird way but I think it's also a very important point Jeff that I believe we learned early and I hope coming out from this is something that we don't lose the point you made about kindness social media and social networking has a massively in my opinion massively positive binding force for the world at the same time there were certain business models it tried to capitalize on the negative aspects of it you know whether they are the the commercialized versions of slam books or not so nice business models that capitalize on the ability for people to complain I hope that people society and us humans coming out of it learn from people like yourself or you know the small voice that I have on social media or the messages we share and we are kinda in what we do online because the ability to have networks that are viral and can propagate or self propagate is a very positive unifying force and I hope out of this pandemic we all realize the positive nature's of it more than the negative nature's of it because unfortunately as you know that our business models built on the negative forces of social media and I really really hope they're coming out of this are positive voices drown out the negative voices that's great point and and it's a great I want to highlight a quote from one of your blog's again I think you're just a phenomenal communicator and in relationship to what's going on with kovat and and I quote we are fighting fear pain and anxiety as much as we are fighting the virus this is our humble attempt to we'll get into what you guys did to help the thousands of first responders clerks rockstars but I just really want to stick with that kindness theme you know I used to or I still joke right that the greatest smile in technology today is our G from signal FX the guys are gonna throw up a picture of him he's a great guy he looks like everybody's favorite I love that guy but therefore signal effects and actually it's funny signal FX also launched on the cube at big data a big data show I used to say the greatest smile intact is avi Mehta I mean how can I go wrong and and what I when I reached out to you I I do I consciously thought what what more important time do we have than to see people like you with a big smile with the great positive attitude focusing on on the positives and and I just think it's so important and it segues nicely into what we used to talk about it the strata shows and the big data shows all the time everyone wanted to talk about Hadoop and big data you always stress is never about the technology it's about the application of the technology and you focus your company on that very where that laser focus from day one now it's so great to see is we think you know the bad news about kovat a lot of bad news but one of the good news is is you know there's never been as much technology compute horsepower big data analytics smart people like yourself to bring a whole different set of tools to the battle than just building Liberty ships or building playing planes or tanks so you guys have a very aggressive thing that you're doing tell us a little bit about is the kovat active transmission the coat if you will tell us about what that is how did it come to be and what are you hoping to accomplish of course so first of all you're too kind you know thank you so much I think you also were the first people to give me a hard time about my new or Twitter picture I put on and he said what are you doing RV you know you have a good smile come on give me the smile die so thank you you're very kind Jeff I think as I as we as you know and I know I think you've a lot to be thankful for in life and there's no reason why we should not smile no matter what the circumstance we have so much to be thankful for and also I am remiss happy Earth Day you know I'm rocking my green for Earth Day as well as Ramadan Kareem today is the first day of Ramadan and you know I I wish everybody in the world Ramadan Kareem and on that friend right on that trend of how does do we as a community come together when faced with crisis so Court was a very simple thing you know it's I'm thank you for recognizing the hard work of the team that led it it was an idea I came up with it you know in the shower I'm like there are two kinds of people or to your you can we have we as humans have a choice when history is being made which I do believe I do believe history is being made right whether you look at it economically and a economic shock and that we have not felt as humanity since the depression so you look at it socially and again something we haven't seen sin the Spanish blue history is being made in in these times and I think we as humans have a choice we can either be witnesses to it or play our part in helping shape it and coat was our humble tiny attempt to when we look back when history was being made we chose to not just sit on the sidelines but be a part of trying to be part of the solution so all riddled with code was take a small idea I had team gets the entire credit read they ran with it and the idea was there was a lot of data being open sourced around co-ed a lot of work being done around reporting what is happening but nothing was being done around reporting or thinking through using the data to predict what could happen with it and that was code with code we try to make the first code wonder oh that came out almost two weeks ago now when you first contacted us was predicting the spread and the idea around breaking the spread wasn't just saying here is the number of cases a number of deaths and know what to be very off we wanted to provide like you know how firefighters do can we predict where it may go to next at a county by county level so we could create a little bit of a firewall to help it from stop you know have the spread of it to be slower in no ways are we claiming that if you did port you can stop it but if he could create firewalls around it and distribute tests not just in areas and cities and counties where it is you know spiking but look at the areas and counties where it's about to go to so we use a inner inner in-house Network algorithm we call that Orion and we were able to start predicting where the virus is gonna go to we also then quickly realize that this could be an interesting where an extra you know arrow and the quiver in our fight we should also think about where are there green shoots around where can recovery be be helped so before you know the the president email announced this it was surrender serendipitous before the the president came and said I want to start finding the green shoes to open the country we then did quote $2 which we announced a week ago with the green shoots around a true sailor recovery index and the recovery index is looking at its car like a meta algorithm we're looking at the rates of change of the rates of change so if you're seeing the change of the rates of change you know the meta part we're declining we're saying there are early shoots that we if as we plan to reopen our economy in our country these are the counties to look at first that was the second attempt of code and the third attempt we have done is we calling it the odd are we there yet index it got announced yesterday and now - you're the first public announcement of it and the are we there yet index is using the government's definition of the phase 1 phase 2 phase 3 and we are making a prediction on where which are the counties that are ready to be open up and there's good news everywhere in the country but we we are predicting there are 73 different counties that ask for the government's definition of ready to open are ready to open that's all you know we were able to launch the app in five days it is free for all first responders all hospital chains all not-for-profit organizations trying to help the country through this pandemic and poor profit operations who want to use the data to get tests out to get antibodies out and to get you know the clinical trials out so we have made a commitment that we will not charge for code through - for any of those organizations to have the country open are very very small attempt to add another dimension to the fight you know it's data its analytics I'm not a first responder this makes me sleep well at night that I'm at least we're trying to help you know right well just for the true heroes right the true heroes this is our our humble attempt to help them and recognize that their effort should not go to its hobby that that's great because you know there is data and there is analytics and there is you know algorithms and the things that we've developed to help people you know pick they're better next purchase at Amazon or where they gonna watch next on Netflix and it's such a great application no it's funny I just finished a book called ghost Bob and is a story of the cholera epidemic in London in like 1850 something or other about four but what's really interesting at that point in time is they didn't know about waterborne diseases they thought everything kind of went through the air and and it was really a couple of individuals in using data in a new and more importantly mapping different types of datasets on top of it and now this is it's as this map that were they basically figured out where the the pump was that was polluting everybody but it was a great story and you know kind of changing the narrative by using data in a new novel and creative way to get to an answer that they couldn't and you know they're there's so much data out there but then they're so short a date I'm just curious from a data science point of view you know um you know there there aren't enough tests for you know antibodies who's got it there aren't enough tests for just are you sick and then you know we're slowly getting the data on the desk which is changing all the time you know recently announced that the first Bay Area deaths were actually a month were they before they thought they were so as you look at what you're trying to accomplish what are some of the great datasets out there and how are you working around some of the the lack of data in things like you know test results are you kind of organizing pulling that together what would you like to see more of that's why I like talking to you so I missed you you are these good questions of me excellent point I think there are three things I would like to highlight number one it doesn't take your point that you made with the with the plethora of technical advances and this S curve shift that these first spoke at the cube almost eleven years ago to the date now or ten years ago just the idea of you know population level or modeling that cluster computing is finally democratized so everybody can run complicated tests and a unique segment or one and this is the beauty of what we should be doing in the pandemic I'm coming I'm coming I'm quite surprised actually and given the fact we've had this S curve shift where the world calls a combination of cloud computing so on-demand IO and technical resources for processing data and then the on-demand ability to store and run algorithms at massive scale we haven't really combined our forces to predict more you know that the point you made about the the the waterborne pandemic in the eighteen eighteen hundreds we have an ability as humanity right now to actually see history play out rather than write a book about it you know it has a past tense and it's important to do are as follows number one luckily for you and I the cost of computing an algorithm to predict is manageable so I am surprised why the large cloud players haven't come out and said you know what anybody who wants to distribute anything around predictions lay to the pandemic should get cloud resources for free I we are running quote on all three cloud platforms and I'm paying for all of it right that doesn't really make sense but I'm surprised that they haven't really you know joined the debate or contribute to it and said in a way to say let's make compute free for anybody who would like to add a new dimension to our fight against the pandemic number one but the good news is it's available number two there is luckily for us an open data movement you know that was started on the Obama administration and hasn't stopped because you can't stop open movements allows people companies like ours to go leverage know whether it's John Hancock Carnegie Mellon or the new data coming out of you know California universities a lot of those people are opening up the data not every single piece is at the level we would like to see you know it's not zip plus 4 is mostly county level it's available the third innovation is what we have done with code but not it's not an innovation for the world right which is the give get model so we have said we will curate everything is available lie and boo cost anybody is used but they're for purposes and computations you want to enrich it every organization who gives code data will get more out of it so we have enabled a data exchange keep our far-off purple form and the open up the rail exchange that my clients use but you know we've opened up our data exchange part of our software platform and we have open source for this particular case a give get model but the more you give to it the more you get out of there and our first installations this was the first week that we have users of the platform you know the state of Nevada is using it there are no our state in North Carolina is using it already and we're trying to see the first asks for the gift get model to be used but that's the three ways you're trying to address the that's great and and and and so important you know in this again when this whole thing started I couldn't help but think of the Ford plant making airplanes and and Keiser making Liberty ships in in World War two but you know now this is a different battle but we have different tools and to your point luckily we have a lot of the things in place right and we have mobile phones and you know we can do zoom and well you know we can we can talk as we're talking now so I want to shift gears a little bit and just talk about digital transformation right we've been talking about this for ad nauseam and then and then suddenly right there's this light switch moment for people got to go home and work and people got to communicate via via online tools and you know kind of this talk and this slow movement of getting people to work from home kind of a little bit and digital transformation a little bit and data-driven decision making a little bit but now it's a light switch moment and you guys are involved in some really critical industries like healthcare like financial services when you kind of look at this not from a you know kind of business opportunity peer but really more of an opportunity for people to get over the hump and stop you can't push back anymore you have to jump in what are you kind of seeing in the marketplace Howard you know some of your customers dealing with this good bad and ugly there are two towers to start my response to you with using two of my favorite sayings that you know come to mind as we started the pandemic one is you know someone very smart said and I don't know who's been attributed to but a crisis is a terrible thing to waste so I do believe this move to restoring the world back to a natural state where there's not much fossil fuels being burnt and humans are not careful about their footprint but even if it's forced is letting us enjoy the earth in its glory which is interesting and I hope you don't waste an opportunity number one number two Warren Buffett came out and said that it's only when the tide goes out you realize who's swimming naked and this is a culmination of both those phenomenal phrases you know which is one this is the moment I do believe this is something that is deep both in the ability for us to realize the virtuosity of humanity as a society as social species as well as a reality check on what a business model looks like visa vie a presentation that you can put some fancy words on even what has been an 11-year boom cycle and blitzscale your way to disaster you know I have said publicly that this the peak of the cycle was when mr. Hoffman mr. Reid Hoffman wrote the book bit scaling so we should give him a lot of credit for calling the peak in the cycle so what we are seeing is a kind of coming together of those two of those two big trends crises is going to force industry as you've heard me say many for many years now do not just modernize what we have seen happen chef in the last few years or decades is modernization not transformation and they are different is the big difference as you know transformation is taking a business model pulling it apart understanding the economics that drive it and then not even reassembling it recreating how you can either recapture that value or recreate that value completely differently or by the way blow up the value create even more value that hasn't happened yet digital transformation you know data and analytics AI cloud have been modernizing trends for the last ten years not transformative trends in fact I've also gone and said publicly that today the very definition of technology transformation is run a sequel engine in the cloud and you get a big check off as a technology organization saying I'm good I've transformed how I look at data analytics I'm doing what I was doing on Prem in the cloud there's still sequel in the cloud you know there's a big a very successful company it has made a businessman out of it you don't need to talk about the company today but I think this becomes that moment where those business models truly truly get a chance to transform number one number two I think there's going to be less on the industry side on the new company side I think the the error of anointing winners by saying grow at all cost economics don't matter is fundamentally over I believe that the peak of that was the book let's called blitzscaling you know the markets always follow the peaks you know little later but you and I in our lifetimes will see the return to fundamentals fundamentals as you know never go out of fashion Jeff whether it's good conversations whether it's human values or its economic models if you do not have a par to being a profitable contributing member of society whether that is running a good balance sheet individually and not driven by debt or running a good balance sheet as a company you know we call it financial jurisprudence financial jurisprudence never goes out of fashion and the fact that even men we became the mythical animal which is not the point that we became a unicorn we were a profitable company three years ago and two years ago and four years ago and today and will end this year as a profitable company I think it's a very very nice moment for the world to realize that within the realm of digital transformation even the new companies that can leverage and push that trend forward can build profitable business models from it and if you don't it doesn't matter if you have a billion users as my economic professor told me selling a watermelon that you buy for a dollar or fifty cents even if you sell that a billion times you cannot make it up in volume I think those are two things that will fundamentally change the trend from modernization the transformation it is coming and this will be the moment when we look back and when you write a book about it that people say you know what now Jeff called it and now and the cry and the pandemic is what drove the economic jurisprudence as much as the social jurisprudence obvious on so many things here we can we're gonna be we're gonna go Joe Rogan we're gonna be here for four hours so hopefully hopefully you're in a comfortable chair but uh-huh but I don't I don't sit anymore I love standing on a DD the stand-up desk but I do the start of my version of your watermelon story was you know I dad a couple of you know kind of high-growth spend a lot of money raised a lot of money startups back in the day and I just know finally we were working so hard I'm Michael why don't we just go up to the street and sell dollars for 90 cents with a card table and a comfy chair maybe some iced tea and we'll drive revenue like there's nobody's business and lose less money than we're losing now not have to work so hard I mean it's so interesting I think you said everyone's kind of Punt you know kind of this pump the brakes moment as well growth at the ethic at the cost of everything else right there used to be a great concept called triple-line accounting right which is not just shareholder value to this to the sacrifice of everything else but also your customers and your employees and-and-and your community and being a good steward and a good participant in what's going on and I think that a lot of that got lost another you know to your point about pumping the brakes and the in the environment I mean we've been kind of entertaining on the oil side watching an unprecedented supply shock followed literally within days by an unprecedented demand shock but but the fact now that when everyone's not driving to work at 9:00 in the morning we actually have a lot more infrastructure than we thought and and you know kind of goes back to the old mob capacity planning issue but why are all these technology workers driving to work every morning at nine o'clock it means one thing if you're a service provider or you got to go work at a restaurant or you're you're carrying a truck full of tools but for people that just go sit on a laptop all day makes absolutely no sense and and I'd love your point that people are now you know seeing things a little bit slowed down you know that you can hear birds chirp you're not just stuck in traffic and into your point on the digital transformation right I mean there's been revolution and evolution and revolution people get killed and you know the fact that digital is not the same as physical but it's different had Ben Nelson on talking about the changes in education he had a great quote I've been using it for weeks now right that a car is not a is not a mechanical horse right it's really an opportunity to rethink the you know rethink the objective and design a new solution so it is a really historical moment I think it is it's real interesting that we're all going through it together as well right it's not like there quake in 89 or I was in Mount st. Helens and that blew up in in 1980 where you had kind of a population that was involved in the event now it's a global thing where were you in March 20 20 and we've all gone through this indeed together so hopefully it is a little bit of a more of a unifying factor in kind of the final thought since we're referencing great books and authors and quotes right as you've all know Harare and sapiens talked about what is culture right cultures is basically it's it's a narrative that we all have bought into it I find it so ironic that in the year 2020 that we always joke is 20/20 hindsight we quickly found out that everything we thought was suddenly wasn't and the fact that the global narrative changed literally within days you know really a lot of spearhead is right here in Santa Clara County with with dr. Sarah Cody shutting down groups of more than 150 people which is about four days before they went to the full shutdown it is a really interesting time but as you said you know if you're fortunate enough as we are to you know have a few bucks in the bank and have a business that can be digital which you can if you're in the sports business or the travel business the hotel business and restaurant business a lot of a lot of a lot of not not good stuff happening there but for those of us that can it is an opportunity to do this nice you know kind of a reset and use the powers that we've developed for recommendation engines for really a much more power but good for good and you're doing a lot more stuff too right with banking and in in healthcare telemedicine is one of my favorite things right we've been talking about telemedicine and electronic medicine for now well guess what now you have to cuz the hospitals are over are overflowing Jeff to your point three stories and you know then at some point I know you have you I will let you go you can let me go I can talk to you for four hours I can talk to you for but days my friend you know the three stories that there have been very relevant to me through this crisis I know one is first I think I guess in a way all are personal but the first one you know that I always like to remind people on there were business models built around allowing people to complain online and then using that as almost like a a stick to find a way to commercialize it and I look at that all of our friends I'm sure you have friends have lots of friend the restaurant is big and how much they are struggling right they are honest working the hardest thing to do in life as I've been told and I've witnessed through my friends is to run a restaurant the hours the effort you put into it making sure that what you produce this is not just edible but it's good quality is enjoyed by people is sanitary is the hard thing to do and there was yet there were all of these people you know who would not find in their heart and their minds for two seconds to go post a review if something wasn't right and be brutal in those reviews and if they were the same people were to look back now and think about how they assort the same souls then anything to be supportive for our restaurant workers you know it's easy to go and slam them online but this is our chance to let a part of the industry that we all depend on food right critical to humanity's success what have we done to support them as easy as it was for us to complain about them what have we done to support them and I truly hope and I believe they're coming out of it those business models don't work anymore and before we are ready to go on and online on our phones and complain about well it took time for the bread to come to my table we think twice how hard are they working right number one that's my first story I really hope you do tell me about that my second story is to your have you chained to baby with Mark my kids I'm sure as your kids get up every morning get dressed and launch you know their online version of a classroom do you think when they enter the workforce or when they go to college you and me are going to try and convince them to get in a oil burning combustion engine but by the way can't have current crash and breakdown and impact your health impact the environment and show up to work and they'll say what do you talk about are you talking about I can be effective I can learn virtually why can't I contribute virtually so I think there'll be a generation of the next class of you know contribute to society who are now raised to live in an environment where the choice of making sure we preserve the planet and yet contribute towards the growth of it is no longer a binary choice both can be done so I completely agree with you we have fundamentally changed how our kids when they grew up will go to work and contribute right my third story is the thing you said about how many industries are suffering we have clients you know in the we have health care customers we have banking customers you know we have whoever paying the bills like we are are doing everything they can to do right by society and then we have customers in the industry of travel hospitality and one of my most humbling moments Jeff there's one of the no sea level executives sent us an email early in this in this crisis and said this is a moment where a strong David can help AV Goliath and just reading that email had me very emotional because they're not very many moments that we get as corporations as businesses where we can be there for our customers when they ask us to be their father and if we as companies and help our customers our clients who area today are flying people are feeding people are taking care of their health and they're well if V in this moment and be there for them we we don't forget those moments you know those as humans have long-term memories right that was one of the kindest gentlest reminders to me that what was more important to me my co-founder Richard you know my leadership team every single person at Reseda that have tried very hard to build automations because as an automation company to automate complex human process so we can make humans do higher order activities in the moment when our customers asked us to contribute and be there for them I said yes they said yes you said yes and I hope I hope people don't forget that that unicorns aren't important there are mythical animals there's nothing all about profits there's nothing mythical about fortress balance sheet and there's nothing mythical about a strong business model that is built for sustainable growth not good at all cost and those are my three stories that you know bring me a lot of lot of calm in this tremendous moment of strife and and in the piece that wraps up all those is ultimately it's about relationships right people don't do business I mean companies don't do business with companies people do business with people and it's those relationships and and in strong relationships through the bad times which really set us up for when things start to come back I me as always it's I'm not gonna let it be three years to the next time I hear me pounding on your door great to catch up you know love to love to watch really your your culture building and your community engagement good luck I mean great success on the company but really that's one thing I think you really do a phenomenal job of just keeping this positive drumbeat you always have you always will and really appreciate you taking some time on a Friday to sit down with us well first of all thank you I wish I could tell you I just up to you but we celebrate formal Fridays that to Seder and that's what this is all so I want to end on a good on a positive bit of news I was gonna give you a demo of it but if you want to go to our website and look at what everything we're doing we have a survival kit around a data survival kit around kovat how am I using buzzwords you know a is let's not use that buzzword right now but in your in your lovely state but on my favorite places on the planet when we ran the algorithm on who is ready as per the government definition of opening up we have five counties that are ready to be open you know between Santa Clara to LA Sacramento Kern and San Francisco the metrics today the data today with our algorithm there are meta algorithm is saying that those five counties those five regions look like I've done a lot of positive activities if the country was to open under all the right circumstances those five look you know the first as we were men at on cream happy Earth Day a pleasure to see you so good to know your family is doing well and I hope we see we talk to each other soon thanks AVI great conversation with avi Mehta terrific guy thanks for watching everybody stay safe have a good weekend Jeff Rick checking out from the cube [Music]

ladies and gentlemen this is your captain speaking we will soon be taking off on our way to altitude please keep your seatbelts fastened and remain in your seats we will be experiencing turbulence until we are above the clouds ladies and gentlemen we are now cruising at altitude sit back and enjoy the ride [Music] altitude is a community of thought leaders and pioneers cloud architects and enlightened network engineers who have individually and are now collectively leading their own IT teams and the industry on a path to lift cloud networking above the clouds empowering Enterprise IT to architect design and control their own cloud network regardless of the turbulent clouds beneath them it's time to gain altitude ladies and gentlemen Steve Mulaney president and CEO of aviatrix the leader of multi cloud networking [Music] [Applause] all right good morning everybody here in Santa Clara as well as to the what millions of people watching the livestream worldwide welcome to altitude 2020 alright so we've got a fantastic event today really excited about the speakers that we have today and the experts that we have and really excited to get started so one of the things I wanted to just share was this is not a one-time event this is not a one-time thing that we're gonna do sorry for the aviation analogy but you know sherry way aviatrix means female pilot so everything we do as an aviation theme this is a take-off for a movement this isn't an event this is a take-off of a movement a multi-cloud networking movement and community that we're inviting all of you to become part of and-and-and why we're doing that is we want to enable enterprises to rise above the clouds so to speak and build their network architecture regardless of which public cloud they're using whether it's one or more of these public clouds so the good news for today there's lots of good news but this is one good news is we don't have any powerpoint presentations no marketing speak we know that marketing people have their own language we're not using any of that in those sales pitches right so instead what are we doing we're going to have expert panels we've got Simone Rashard Gartner here we've got 10 different network architects cloud architects real practitioners they're going to share their best practices and there are real-world experiences on their journey to the multi cloud so before we start and everybody know what today is in the u.s. it's Super Tuesday I'm not gonna get political but Super Tuesday there was a bigger Super Tuesday that happened 18 months ago and maybe eight six employees know what I'm talking about 18 months ago on a Tuesday every enterprise said I'm gonna go to the cloud and so what that was was the Cambrian explosion for cloud for the price so Frank kibrit you know what a Cambrian explosion is he had to look it up on Google 500 million years ago what happened there was an explosion of life where it went from very simple single-cell organisms to very complex multi-celled organisms guess what happened 18 months ago on a Tuesday I don't really know why but every enterprise like I said all woke up that day and said now I'm really gonna go to cloud and that Cambrian explosion of cloud went meant that I'm moving from very simple single cloud single use case simple environment to a very complex multi cloud complex use case environment and what we're here today is we're gonna go and dress that and how do you handle those those those complexities and when you look at what's happening with customers right now this is a business transformation right people like to talk about transitions this is a transformation and it's actually not just the technology transformation it's a business transformation it started from the CEO and the boards of enterprise customers where they said I have an existential threat to the survival of my company if you look at every industry who they're worried about is not the other 30 year old enterprise what they're worried about is the three year old enterprise that's leveraging cloud that's leveraging AI and that's where they fear that they're going to actually get wiped out right and so because of this existential threat this is CEO lead this is board led this is not technology led it is mandated in the organization's we are going to digitally transform our enterprise because of this existential threat and the movement to cloud is going to enable us to go do that and so IT is now put back in charge if you think back just a few years ago in cloud it was led by DevOps it was led by the applications and it was like I said before their Cambrian explosion is very simple now with this Cambrian explosion and enterprises getting very serious and mission critical they care about visibility they care about control they care about compliance conformance everything governance IT is in charge and and and that's why we're here today to discuss that so what we're going to do today is much of things but we're gonna validate this journey with customers did they see the same thing we're gonna validate the requirements for multi-cloud because honestly I've never met an enterprise that is not going to be multi-cloud many are one cloud today but they all say I need to architect my network for multiple clouds because that's just what the network is there to support the applications and the applications will run and whatever cloud it runs best in and you have to be prepared for that the second thing is is architecture again with IT in charge you architecture matters whether it's your career whether it's how you build your house it doesn't matter horrible architecture your life is horrible forever good architecture your life is pretty good so we're gonna talk about architecture and how the most fundamental and critical part of that architecture and that basic infrastructure is the network if you don't get that right nothing works right way more important and compute way more important than storm dense storage network is the foundational element of your infrastructure then we're going to talk about day 2 operations what does that mean well day 1 is one day of your life that's who you wire things up they do and beyond I tell everyone in networking and IT it's every day of your life and if you don't get that right your life is bad forever and so things like operations visibility security things like that how do I get my operations team to be able to handle this in an automated way because it's not just about configuring it in the cloud it's actually about how do I operationalize it and that's a huge benefit that we bring as aviatrix and then the last thing we're going to talk and it's the last panel we have I always say you can't forget about the humans right so all this technology all these things that we're doing it's always enabled by the humans at the end of the day if the humans fight it it won't get deployed and we have a massive skills gap in cloud and we also have a massive skill shortage you have everyone in the world trying to hire cloud network architects right there's just not enough of them going around so at aviatrix we as leaders do we're gonna help address that issue and try to create more people we created a program and we call the ACE program again an aviation theme it stands for aviatrix certified engineer very similar to what Cisco did with CCI ease where Cisco taught you about IP networking a little bit of Cisco we're doing the same thing we're gonna teach network architects about multi-cloud networking and architecture and yeah you'll get a little bit of aviatrix training in there but this is the missing element for people's careers and also within their organization so we're gonna we're gonna go talk about that so great great event great show when to try to keep it moving I'd next want to introduce my my host he's the best in the business you guys have probably seen him multiple million times he's the co CEO and co-founder of tube Jon Fourier okay awesome great great speech they're awesome I'd totally agree with everything you said about the explosion happening and I'm excited here at the heart of Silicon Valley to have this event it's a special digital event with the cube and aviatrix were we live streaming to millions of people as you said maybe not a million maybe not really take this program to the world this is a little special for me because multi-cloud is the hottest wave and cloud and cloud native networking is fast becoming the key engine of the innovation so we got an hour and a half of action-packed programming we have a customer panel two customer panels before that Gartner is going to come on talk about the industry we have a global system integrators we talk about how they're advising and building these networks and cloud native networking and then finally the Aces the aviatrix certified engineer is gonna talk more about their certifications and the expertise needed so let's jump right in and let's ask someone rashard to come on stage from Gartner check it all up [Applause] okay so kicking things off sitting started gartner the industry experts on cloud really kind of more to your background talk about your background before you got the gardener yeah before because gardener was a chief network architect of a fortune five companies with thousands of sites over the world and I've been doing everything and IT from a C programmer in a 92 a security architect to a network engineer to finally becoming a network analyst so you rode the wave now you're covering at the marketplace with hybrid cloud and now moving quickly to multi cloud is really was talking about cloud natives been discussed but the networking piece is super important how do you see that evolving well the way we see Enterprise adapt in cloud first thing you do about networking the initial phases they either go in a very ad hoc way is usually led by non non IT like a shadow I to your application people are some kind of DevOps team and it's it just goes as it's completely unplanned decreed VP sees left and right with different account and they create mesh to manage them and their direct connect or Express route to any of them so that's what that's a first approach and on the other side again it within our first approach you see what I call the lift and shift way we see like enterprise IT trying to basically replicate what they have in a data center in the cloud so they spend a lot of time planning doing Direct Connect putting Cisco routers and f5 and Citrix and any checkpoint Palo Alto divides that the audinate that are sent removing that to that cloud and I ask you the aha moments gonna come up a lot of our panels is where people realize that it's a multi cloud world I mean they either inherit clouds certainly they're using public cloud and on-premises is now more relevant than ever when's that aha moment that you're seeing where people go well I got to get my act together and get on this well the first but even before multi-cloud so these two approach the first one like the ad hoc way doesn't scale at some point idea has to save them because they don't think about the two they don't think about operations they have a bunch of VPC and multiple clouds the other way that if you do the left and shift wake they cannot take any advantages of the cloud they lose elasticity auto-scaling pay by the drink these feature of agility features so they both realize okay neither of these ways are good so I have to optimize that so I have to have a mix of what I call the cloud native services within each cloud so they start adapting like other AWS constructor is your construct or Google construct then that's what I call the optimal phase but even that they realize after that they are very different all these approaches different the cloud are different identities is completely difficult to manage across clouds I mean for example AWS has accounts there's subscription and in adarand GCP their projects it's a real mess so they realize well I can't really like concentrate use the cloud the cloud product and every cloud that doesn't work so I have I'm doing multi cloud I like to abstract all of that I still wanna manage the cloud from an API to interview I don't necessarily want to bring my incumbent data center products but I have to do that in a more API driven cloud they're not they're not scaling piece and you were mentioning that's because there's too many different clouds yes that's the piece there so what are they doing whether they really building different development teams as its software what's the solution well this the solution is to start architecting the cloud that's the third phase I call that the multi cloud architect phase where they have to think about abstraction that works across cloud fact even across one cloud it might not scale as well if you start having like 10,000 security group in AWS that doesn't scale you have to manage that if you have multiple VPC it doesn't scale you need a third party identity provider so it barely scales within one cloud if you go multiple cloud it gets worse and worse see way in here what's your thoughts I thought we said this wasn't gonna be a sales pitch for aviatrix you just said exactly what we do so anyway I'm just a joke what do you see in terms of where people are in that multi-cloud so a lot of people you know everyone I talked to started in one cloud right but then they look and they say okay but I'm now gonna move to adjourn I'm gonna move do you see a similar thing well yes they are moving but they're not there's not a lot of application that use a tree cloud at once they move one app in deserve one app in individuals one get happen Google that's what we see so far okay yeah I mean one of the mistakes that people think is they think multi-cloud no one is ever gonna go multi-cloud for arbitrage they're not gonna go and say well today I might go into Azure because I got a better rate of my instance that's never do you agree with that's never going to happen what I've seen with enterprise is I'm gonna put the workload in the app the app decides where it runs best that may be a sure maybe Google and for different reasons and they're gonna stick there and they're not gonna move let me ask you infrastructure has to be able to support from a networking team be able to do that do you agree with that yes I agree and one thing is also very important is connecting to that cloud is kind of the easiest thing so though while their network part of the cloud connectivity to the cloud is kind of simple I agree IPSec VP and I reckon Express that's a simple part what's difficult and even a provisioning part is easy you can use terraform and create v pieces and v nets across which free cloud providers right what's difficult is the day-to-day operations so it's what to find a to operations what is that what does that actually mean this is the day-to-day operations after you know the natural let's add an app let's add a server let's troubleshoot a problem so so your life something changes how would he do so what's the big concerns I want to just get back to this cloud native networking because everyone kind of knows with cloud native apps are that's been a hot trend what is cloud native networking how do you how do you guys define that because that seems to be the oddest part of the multi cloud wave that's coming as cloud native networking well there's no you know official garner definition but I can create one on and if another spot is do it I just want to leverage the cloud construct and a cloud epi I don't want to have to install like like for example the first version was let's put a virtual router that doesn't even understand and then the cloud environment right if I have if I have to install a virtual machine it has to be cloud aware it has to understand the security group if it's a router it has to be programmable to the cloud API and and understand the cloud environment you know one things I hear a lot from either see Saussure CIOs or CXOs in general is this idea of I'm definitely on going API so it's been an API economy so API is key on that point but then they say okay I need to essentially have the right relationship with my suppliers aka clouds you call it above the clouds so the question is what do i do from an architecture standpoint do I just hire more developers and have different teams because you mentioned that's a scale point how do you solve this this problem of okay I got AWS I got GCP or Azure or whatever do I just have different teams or just expose api's where is that optimization where's the focus well I take what you need from an android point of view is a way a control plane across the three clouds and be able to use the api of the cloud to build networks but also to troubleshoot them and do they to operation so you need a view across a three cloud that takes care of routing connectivity that's you know that's the aviatrix plug of you right there so so how do you see so again your Gartner you you you you see the industry you've been a network architect how do you see this this plane out what are the what are the legacy incumbent client-server on-prem networking people gonna do well these versus people like aviatrix well how do you see that plane out well obviously all the incumbent like Arista cisco juniper NSX right they want to basically do the lift and ship or they want to bring and you know VM I want to bring in a section that cloud they call that NSX everywhere and cisco monks bring you star and the cloud recall that each guy anywhere right so everyone what and and then there's cloud vision for my red star and contrail is in the cloud so they just want to bring the management plane in the cloud but it's still based most of them it's still based on putting a VM them in controlling them right you you extend your management console to the cloud that's not truly cloud native right cloud native you almost have to build it from scratch we like to call that cloud naive clown that so close one letter yeah so that was a big con surgeon reinvent take the tea out of cloud native it's cloud naive that went super viral you guys got t-shirts now I know you love but yeah but that really ultimately is kind of double edged sword you got to be you can be naive on the on the architecture side and rolling out but also suppliers are can be naive so how would you define who's naive and who's not well in fact they're evolving as well so for example in Cisco you it's a little bit more native than other ones because they're really scr in the cloud you can't you you really like configure API so the cloud and NSX is going that way and so is Arista but they're incumbent they have their own tools is difficult for them they're moving slowly so it's much easier to start from scratch Avenue like and you know a network happiness started a few years ago there's only really two aviatrix was the first one they've been there for at least three or four years and there's other ones like al kira for example that just started now that doing more connectivity but they wanna create an overlay network across the cloud and start doing policies and trying abstracting all the clouds within one platform so I gotta ask you I interviewed an executive at VMware Sanjay Pune and he said to me at RSA last week oh the only b2 networking vendors left Cisco and VMware what's your respect what's your response to that obviously I mean when you have these waves as new brands that emerge like aviation others though I think there'll be a lot of startups coming out of the woodwork how do you respond to that comment well there's still a data center there's still like a lot of action on campus and there's the one but from the cloud provisioning and clown networking in general I mean they're behind I think you know in fact you don't even need them to start to it you can if you're small enough you can just keep if you're in AWS you can user it with us construct they have to insert themselves I mean they're running behind they're all certainly incumbents I love the term Andy Jesse's that Amazon Web Services uses old guard new guard to talk about the industry what does the new guard have to do the new and new brands that emerge in is it be more DevOps oriented neck Nets a cops is that net ops is the programmability these are some of the key discussions we've been having what's your view on how you this programmability their most important part is they have to make the network's simple for the dev teams and from you cannot have that you cannot make a phone call and get every line in two weeks anymore so if you move to that cloud you have to make the cloud construct as simple enough so that for example a dev team could say okay I'm going to create this VP see but this VP see automatically being associate to your account you cannot go out on the internet you have to go to the transit VP see so there's a lot of action in terms of the I am part and you have to put the control around them too so to make it as simple as possible you guys both I mean you're the COC aviatrix but also you guys a lot of experience going back to networking going back to I call the OSI mace which for us old folks know what that means but you guys know what this means I want to ask you the question as you look at the future of networking here a couple of objectives oh the cloud guys they got networking we're all set with them how do you respond to the fact that networking is changing and the cloud guys have their own networking what some of the pain points that's going on premises and these enterprises so are they good with the clouds what needs what are the key things that's going on in networking that makes it more than just the cloud networking what's your take on well as I said earlier that once you you could easily provision in the cloud you can easily connect to that cloud is when you start troubleshooting application in the cloud and try to scale so this that's where the problem occurs see what you're taking on it and you'll hear from the from the customers that that we have on stage and I think what happens is all the cloud the clouds by definition designed to the 80/20 rule which means they'll design 80% of the basic functionality and they'll lead to 20% extra functionality that of course every Enterprise needs they'll leave that to ISVs like aviatrix because why because they have to make money they have a service and they can't have huge instances for functionality that not everybody needs so they have to design to the common and that's they all do it right they have to and then the extra the problem is that Cambrian explosion that I talked about with enterprises that's holy that's what they need that they're the ones who need that extra 20% so that's that's what I see is is there's always gonna be that extra functionality the in in an automated and simple way that you talked about but yet powerful with up with the visible in control that they expect of on prep that that's that kind of combination that yin and the yang that people like us are providing some I want to ask you were gonna ask some of the cloud architect customer panels it's the same question this pioneers doing some work here and there's also the laggers who come in behind the early adopters what's gonna be the tipping point what are some of those conversations that the cloud architects are having out there or what's the signs that they need to be on this multi cloud or cloud native networking trend what are some the signals that are going on in their environment what are some of the thresholds or things that are going on that there can pay attention to well well once they have application and multiple cloud and they have they get wake up at 2:00 in the morning to troubleshoot them they don't know it's important so I think that's the that's where the robber will hit the road but as I said it's easier to prove it it's ok it's 80s it's easy use a transit gateway put a few V PCs and you're done and use create some presents like equinox and do Direct Connect and Express route with Azure that looks simple is the operations that's when they'll realize ok now I need to understand our car networking works I also need a tool that give me visibility and control not button tell me that I need to understand the basic underneath it as well what are some of the day in the life scenarios that you envision happening with multi Bob because you think about what's happening it kind of has that same vibe of interoperability choice multi-vendor because you have multi clouds essentially multi vendor these are kind of old paradigms that we've lived through the client server and internet working wave what are some of those scenarios of success and that might be possible it would be possible with multi cloud and cloud native networking well I think once you have good enough visibility to satisfy your customers you know not only like to keep the service running an application running but to be able to provision fast enough I think that's what you want to achieve small final question advice for folks watching on the live stream if they're sitting there as a cloud architect or a CXO what's your advice to them right now in this more because honestly public cloud check hybrid cloud they're working on that that gets on-premise is done now multi clouds right behind it what's your advice the first thing they should do is really try to understand cloud networking for each of their cloud providers and then understand the limitation and is what there's cloud service provider offers enough or you need to look to a third party but you don't look at a third party to start with especially an incumbent one so it's tempting to say on and I have a bunch of f5 experts nothing against that five I'm going to bring my five in the cloud when you can use a needle be that automatically understand Easy's and auto scaling and so on and you understand that's much simpler but sometimes you need you have five because you have requirements you have like AI rules and that kind of stuff that you use for years you cannot do it's okay I have requirement and that met I'm going to use legacy stuff and then you have to start thinking okay what about visibility control about the tree cloud but before you do that you have to understand the limitation of the existing cloud providers so first try to be as native as possible until things don't work after that you can start taking multi-cloud great insight somewhat thank you for coming someone in charge with Gardner thanks for sharing informatica is known as the leading enterprise cloud data management company we are known for being the top in our industry in at least five different products over the last few years especially we've been transforming into a cloud model which allows us to work better with the trends of our customers in order to see agile and effective in the business you need to make sure that your products and your offerings are just as relevant in all these different clouds than what you're used to and what you're comfortable with one of the most difficult challenges we've always had is that because we're a data company we're talking about data that a customer owns some of that data may be in the cloud some of that data may be on Prem some of that data may be actually in their data center in another region or even another country and having that data connect back to our systems that are located in the cloud has always been a challenge when we first started our engagement with aviatrix we only had one plan that was Amazon it wasn't till later that a jerk came up and all of a sudden we found hey the solution we already had in place for her aviatrix already working in Amazon and now works in Missouri as well before we knew what GCP came up but it really wasn't a big deal for us because we already had the same solution in Amazon and integer now just working in GCP by having a multi cloud approach we have access to all three of them but more commonly it's not just one it's actually integrations between multiple we have some data and ensure that we want to integrate with Amazon we have some data in GCP that we want to bring over to a data Lake assure one of the nice things about aviatrix is that it gives a very simple interface that my staff can understand and use and manage literally hundreds of VPNs around the world and while talking to and working with our customers who are literally around the world now that we've been using aviatrix for a couple years we're actually finding that even problems that we didn't realize we had were actually solved even before we came across the problem and it just worked cloud companies as a whole are based on reputation we need to be able to protect our reputation and part of that reputation is being able to protect our customers and being able to protect more importantly our customers data aviatrix has been helpful for us in that we only have one system that can manage this whole huge system in a simple easy direct model aviatrix is directly responsible for helping us secure and manage our customers not only across the world but across multiple clouds users don't have to be VPN or networking experts in order to be able to use the system all the members on my team can manage it all the members regardless of their experience can do different levels of it one of the unexpected advantages of aviatrix is that I don't have to sell it to my management the fact that we're not in the news at 3 o'clock in the morning or that we don't have to get calls in the middle of the night no news is good news especially in networking things that used to take weeks to build or done in hours I think the most important thing about a matrix is it provides me a Beatrix gives me a consistent model that I can use across multiple regions multiple clouds multiple customers okay welcome back to altitude 2020 for the folks on the livestream I'm John for Steve Mulaney with CEO of aviatrix for our first of two customer panels on cloud with cloud network architects we got Bobby Willoughby they gone Luis Castillo of National Instruments David should Nick with fact set guys welcome to the stage for this digital event come on up [Applause] [Music] hey good to see you thank you okay okay customer panelist is my favorite part we get to hear the real scoop gets a gardener given this the industry overview certainly multi clouds very relevant and cloud native networking is the hot trend with a live stream out there and the digital event so guys let's get into it the journey is you guys are pioneering this journey of multi cloud and cloud native networking and is soon gonna be a lot more coming so we want to get into the journey what's it been like is it real you got a lot of scar tissue and what are some of the learnings yeah absolutely so multi cloud is whether or not we we accepted as a network engineers is is a reality like Steve said about two years ago companies really decided to to just to just bite the bullet and and and move there whether or not whether or not we we accept that fact we need to now create a consistent architecture across across multiple clouds and that that is challenging without orchestration layers as you start managing different different tool sets and different languages across different clouds so that's it's really important that to start thinking about that guys on the other panelists here there's different phases of this journey some come at it from a networking perspective some come in from a problem troubleshooting which what's your experiences yeah so from a networking perspective it's been incredibly exciting it's kind of a once-in-a-generation 'el opportunity to look at how you're building out your network you can start to embrace things like infrastructure as code that maybe your peers on the systems teams have been doing for years but it just never really worked on bram so it's really it's really exciting to look at all the opportunities that we have and then all the interesting challenges that come up that you that you get to tackle an effect said you guys are mostly AWS right yep right now though we're we are looking at multiple clouds we have production workloads running in multiple clouds today but a lot of the initial work has been with Amazon and you've seen it from a networking perspective that's where you guys are coming at it from yep we evolved more from a customer requirement perspective started out primarily as AWS but as the customer needed more resources from Azure like HPC you know as your ad things like that even recently Google Google Analytics our journey has evolved into more of a multi cloud environment Steve weigh in on the architecture because this has been the big conversation I want you to lead this second yeah so I mean I think you guys agree the journey you know it seems like the journey started a couple years ago got real serious the need for multi cloud whether you're there today of course it's gonna be there in the future so that's really important I think the next thing is just architecture I'd love to hear what you you know had some comments about architecture matters it all starts I mean every Enterprise I talk to maybe talk about architecture and the importance of architecture maybe Bobby it's a fun architecture perspective we sorted a journey five years ago Wow okay and we're just now starting our fourth evolution of our network marketer and we call it networking security net SEC yeah versus Justice Network yeah and that fourth generation architectures be based primarily upon Palo Alto Networks an aviatrix I have Atrix doing the orchestration piece of it but that journey came because of the need for simplicity ok the need for a multi cloud orchestration without us having to go and do reprogramming efforts across every cloud as it comes along right I guess the other question I also had around architectures also Louis maybe just talk about I know we've talked a little bit about you know scripting right and some of your thoughts on that yeah absolutely so so for us we started we started creating the network constructs with cloud formation and we've we've stuck with that for the most part what's interesting about that is today on premise we have a lot of a lot of automation around around how we provision networks but cloud formation has become a little bit like the new manual for us so we we're now having issues with having the to automate that component and making it consistent with our on premise architecture making it consistent with Azure architecture and Google cloud so it's really interesting to see to see companies now bring that layer of abstraction that SEO and brought to the to the web side now it's going up into into the into the cloud networking architecture so on the fourth generation of you mentioned you're in the fourth gen architecture what do you guys what have you learned is there any lessons scar tissue what to avoid what worked what was some of the that's probably the biggest list and there is that when you think you finally figured it out you have it right Amazon will change something as you or change something you know transit gateways a game changer so in listening to the business requirements is probably the biggest thing we need to do up front but I think from a simplicity perspective we like I said we don't want to do things four times we want to do things one time we won't be able to write to an API which aviatrix has and have them do the orchestration for us so that we don't have to do it four times how important is architecture in the progression is it you guys get thrown in the deep end to solve these problems or you guys zooming out and looking at it it's that I mean how are you guys looking at the architecture I mean you can't get off the ground if you don't have the network there so all of those that we've gone through similar evolutions we're on our fourth or fifth evolution I think about what we started off with Amazon without a direct connect gate without a trans a gateway without a lot of the things that are available today kind of the 80/20 that Steve was talking about just because it wasn't there doesn't mean we didn't need it so we needed to figure out a way to do it we couldn't say oh you need to come back to the network team in a year and maybe Amazon will have a solution for it right you need to do it now and in evolve later and maybe optimize or change the way you're doing things in the future but don't sit around and wait you can't I'd love to have you guys each individually answer this question for the live stream because it comes up a lot a lot of cloud architects out in the community what should they be thinking about the folks that are coming into this proactively and/or realizing the business benefits are there what advice would you guys give them an architecture what should be they be thinking about and what are some guiding principles you could share so I would start with looking at an architecture model that that can that can spread and and give consistency they're different to different cloud vendors that you will absolutely have to support cloud vendors tend to want to pull you into using their native toolset and that's good if only it was realistic to talk about only one cloud but because it doesn't it's it's it's super important to talk about and have a conversation with the business and with your technology teams about a consistent model how do I do my day one work so that I'm not you know spending 80 percent of my time troubleshooting or managing my network because I'm doing that then I'm missing out on ways that I can make improvements or embrace new technologies so it's really important early on to figure out how do I make this as low maintenance as possible so that I can focus on the things that the team really should be focusing on Bobby your advice the architect I don't know what else I can do that simplicity operations is key right all right so the holistic view of j2 operation you mentioned let's can jump in day one is your your your getting stuff set up day two is your life after all right this is kind of what you're getting at David so what does that look like what are you envisioning as you look at that 20 mile stare at post multi-cloud world what are some of the things that you want in a day to operations yeah infrastructure is code is really important to us so how do we how do we design it so that we can fit start making network changes and fitting them into like a release pipeline and start looking at it like that rather than somebody logging into a router seoi and troubleshooting things on in an ad hoc nature so moving more towards the DevOps model yes anything on that day - yeah I would love to add something so in terms of day 2 operations you can you can either sort of ignore the day 2 operations for a little while where you get well you get your feet wet or you can start approaching it from the beginning the fact is that the the cloud native tools don't have a lot of maturity in that space and when you run into an issue you're gonna end up having a bad day going through millions and millions of logs just to try to understand what's going on so that's something that that the industry just now is beginning to realize it's it's such as such a big gap I think that's key because for us we're moving to more of an event-driven operations in the past monitoring got the job done it's impossible to modern monitor something there's nothing there when the event happens all right so the event-driven application and then detection is important yeah I think Gardiner was all about the cloud native wave coming into networking that's going to be here thing I want to get your guys perspectives I know you have different views of how you came on into the journey and how you're executing and I always say the beauties in the eye of the beholder and that kind of applies the network's laid out so Bobby you guys do a lot of high-performance encryption both on AWS and Azure that's kind of a unique thing for you how are you seeing that impact with multi cloud yeah and that's a new requirement for us to where we we have a requirement to encrypt and they never get the question should I encryption or not encrypt the answer is always yes you should encrypt when you can encrypt for our perspective we we need to migrate a bunch of data from our data centers we have some huge data centers and then getting that data to the cloud is the timely expense in some cases so we have been mandated that we have to encrypt everything leave from the data center so we're looking at using the aviatrix insane mode appliances to be able to encrypt you know 10 20 gigabits of data as it moves to the cloud itself David you're using terraform you got fire Ned you've got a lot of complexity in your network what do you guys look at the future for yours environment yeah so something exciting that or yeah now is fire net so for our security team they obviously have a lot of a lot of knowledge base around Palo Alto and with our commitments to our clients you know it's it's it's not very easy to shift your security model to a specific cloud vendor right so there's a lot of stuck to compliance of things like that where being able to take some of what you've you know you've worked on for years on Bram and put it in the cloud and have the same type of assurance that things are gonna work and be secured in the same way that they are on prem helps make that journey into the cloud a lot easier and Louis you guys got scripting and get a lot of things going on what's your what's your unique angle on this yeah no absolutely so full disclosure I'm not a not not an aviatrix customer yet it's okay we want to hear the truth that's good Ellis what are you thinking about what's on your mind no really when you when you talk about implementing the tool like this it's really just really important to talk about automation and focus on on value so when you talk about things like encryption and things like so you're encrypting tunnels and crypting the path and those things are it should it should should be second nature really when you when you look at building those back ends and managing them with your team it becomes really painful so tools like a Beatrix that that add a lot of automation it's out of out of sight out of mind you can focus on the value and you don't have to focus on so I gotta ask you guys I'll see aviatrix is here they're their supplier to this sector but you guys are customers everyone's pitching you stuff people are not going to buy my stuff how do you guys have that conversation with the suppliers like the cloud vendors and other folks what's that what's it like we're API all the way you got to support this what are some of the what are some of your requirements how do you talk to and evaluate people that walk in and want to knock on your door and pitch you something what's the conversation like it's definitely it's definitely API driven we we definitely look at the at the PAP i structure of the vendors provide before we select anything that that is always first in mind and also what a problem are we really trying to solve usually people try to sell or try to give us something that isn't really valuable like implementing a solution on the on the on the cloud isn't really it doesn't really add a lot of value that's where we go David what's your conversation like with suppliers you have a certain new way to do things as as becomes more agile and essentially the networking and more dynamic what are some of the conversation is with the either incumbents or new new vendors that you're having what do what do you require yeah so ease of use is definitely definitely high up there we've had some vendors come in and say you know hey you know when you go to set this up we're gonna want to send somebody on site and they're gonna sit with you for your day to configure it and that's kind of a red flag what wait a minute you know do we really if one of my really talented engineers can't figure it out on his own what's going on there and why is that so I you know having having some ease-of-use and the team being comfortable with it and understanding it is really important Bobby how about you I mean the old days was do a bake-off and you know the winner takes all I mean is it like that anymore but what's the Volvic a bake-off last year for us do you win so but that's different now because now when you when you get the product you can install the product and they double your energy or have it in a matter of minutes and so the key is is they can you be operational you know within hours or days instead of weeks but but do we also have the flexibility to customize it to meet your needs could you want to be you want to be put into a box with the other customers when you have needs that your pastor cut their needs yeah almost see the challenge that you guys are living where you've got the cloud immediate value depending how you can roll up any solutions but then you have might have other needs so you got to be careful not to buy into stuff that's not shipping so you're trying to be proactive at the same time deal with what you got I mean how do you guys see that evolving because multi-cloud to me is definitely relevant but it's not yet clear how to implement across how do you guys look at this baked versus you know future solutions coming how do you balance that so again so right now we we're we're taking the the ad hoc approach and experimenting with the different concepts of cloud and and really leveraging the the native constructs of each cloud but but there's a there's a breaking point for sure you don't you don't get to scale this like Alexa mom said and you have to focus on being able to deliver a developer they're their sandbox or they're their play area for the for the things that they're trying to build quickly and the only way to do that is with the with with some sort of consistent orchestration layer that allows you to so use a lot more stuff to be coming pretty quickly hides area I do expect things to start to start maturing quite quite quickly this year and you guys see similar trend new stuff coming fast yeah part of the biggest challenge we've got now is being able to segment within the network being able to provide segmentation between production on production workloads even businesses because we support many businesses worldwide and and isolation between those is a key criteria there so the ability to identify and quickly isolate those workloads is key so the CIOs that are watching or that are saying hey take that he'll do multi cloud and then you know the bottoms-up organization Nick pops you're kind of like off a little bit it's not how it works I mean what is the reality in terms of implementing you know in as fast as possible because the business benefits are but it's not always clear in the technology how to move that fast yeah what are some of the barriers one of the blockers what are the enablers I think the reality is is that you may not think you're multi-cloud but your business is right so I think the biggest barriers there is understanding what the requirements are and how best to meet those requirements and then secure manner because you need to make sure that things are working from a latency perspective that things work the way they did and get out of the mind shift that you know it was a cheery application in the data center it doesn't have to be a Tier three application in the cloud so lift and shift is is not the way to go yeah scale is a big part of what I see is the competitive advantage to a lot these clouds and needs to be proprietary network stacks in the old days and then open systems came that was a good thing but as clouds become bigger there's kind of an inherent lock in there with the scale how do you guys keep the choice open how're you guys thinking about interoperability what are some of the conversations and you guys are having around those key concepts well when we look at when we look at the upfront from a networking perspective it it's really key for you to just enable enable all the all the clouds to be to be able to communicate between them developers will will find a way to use the cloud that best suits their their business need and and like like you said it's whether whether you're in denial or not of the multi cloud fact that then your company is in already that's it becomes really important for you to move quickly yeah and I a lot of it also hinges on how well is the provider embracing what that specific cloud is doing so are they are they swimming with Amazon or Azure and just helping facilitate things they're doing the you know the heavy lifting API work for you or are they swimming upstream and they're trying to hack it all together in a messy way and so that helps you you know stay out of the lock-in because they're you know if they're doing if they're using Amazon native tools to help you get where you need to be it's not like Amazon's gonna release something in the future that completely you know makes you have designed yourself into a corner so the closer they're more than cloud native they are the more the easier it is to to deploy but you also need to be aligned in such a way that you can take advantage of those cloud native technologies will it make sense tgw is a game changer in terms of cost and performance right so to completely ignore that would be wrong but you know if you needed to have encryption you know teach Adobe's not encrypted so you need to have some type of a gateway to do the VPN encryption you know so the aviatrix tool give you the beauty of both worlds you can use tgw with a gateway Wow real quick in the last minute we have I want to just get a quick feedback from you guys I hear a lot of people say to me hey the I picked the best cloud for the workload you got and then figure out multi cloud behind the scenes so that seems to be do you guys agree with that I mean is it do I go Mull one cloud across the whole company or this workload works great on AWS that work was great on this from a cloud standpoint do you agree with that premise and then witness multi-cloud stitch them all together yeah from from an application perspective it it can be per workload but it can also be an economical decision certain enterprise contracts will will pull you in one direction that value but the the network problem is still the same doesn't go away yeah yeah yeah I mean you don't want to be trying to fit a square into a round Hall right so if it works better on that cloud provider then it's our job to make sure that that service is there and people can use it agree you just need to stay ahead of the game make sure that the network infrastructure is there secure is available and is multi cloud capable yeah I'm at the end of the day you guys just validating that it's the networking game now cloud storage compute check networking is where the action is awesome thanks for your insights guys appreciate you coming on the panel appreciate it thanks thank you [Applause] [Music] [Applause] okay welcome back on the live feed I'm John fritz T Blaney my co-host with aviatrix I'm with the cube for the special digital event our next customer panel got great another set of cloud network architects Justin Smith was aura Justin broadly with Ellie Mae and Amit Oh tree job with Koopa welcome to stage [Applause] all right thank you thank you okay he's got all the the cliff notes from the last session welcome back rinse and repeat yeah yeah we're going to go under the hood a little bit I think I think they nailed the what we've been reporting and we've been having this conversation around networking is where the action is because that's the end of the day you got a move a pack from A to B and you get workloads exchanging data so it's really killer so let's get started Amit what are you seeing as the journey of multi cloud as you go under the hood and say okay I got to implement this I have to engineer the network make it enabling make it programmable make it interoperable across clouds and that's like I mean almost sounds impossible to me what's your take yeah I mean it it seems impossible but if you are running an organization which is running infrastructure as a cordon all right it is easily doable like you can use tools out there that's available today you can use third-party products that can do a better job but but put your architecture first don't wait architecture may not be perfect put the best architecture that's available today and be agile to iterate and make improvements over the time we get to Justin's over here so I have to be careful when I point a question in Justin they both have the answer but okay journeys what's the journey been like I mean is there phases we heard that from Gartner people come in to multi cloud and cloud native networking from different perspectives what's your take on the journey Justin yeah I mean from our perspective we started out very much focused on one cloud and as we started doing errands we started doing new products the market the need for multi cloud comes very apparent very quickly for us and so you know having an architecture that we can plug in play into and be able to add and change things as it changes is super important for what we're doing in the space just in your journey yes for us we were very ad hoc oriented and the idea is that we were reinventing all the time trying to move into these new things and coming up with great new ideas and so rather than it being some iterative approach with our deployments that became a number of different deployments and so we shifted that tore in the network has been a real enabler of this is that it there's one network and it touches whatever cloud we want it to touch and it touches the data centers that we need it to touch and it touches the customers that we need it to touch our job is to make sure that the services that are available and one of those locations are available in all of the locations so the idea is not that we need to come up with this new solution every time it's that we're just iterating on what we've already decided to do before we get the architecture section I want to ask you guys a question I'm a big fan of you know let the app developers have infrastructure as code so check but having the right cloud run that workload I'm a big fan of that if it works great but we just heard from the other panel you can't change the network so I want to get your thoughts what is cloud native networking and is that the engine really that's the enabler for this multi cloud trend but you guys taken we'll start with Amit what do you think about that yeah so you are gonna have workloads running in different clouds and the workloads would have affinity to one cloud over other but how you expose that it matter of how you are going to build your networks how we are gonna run security how we are going to do egress ingress out of it so it's a big problem how do you split says what's the solution what's the end the key pain points and problem statement I mean the key pain point for most companies is how do you take your traditionally on-premise network and then blow that out to the cloud in a way that makes sense you know IP conflicts you have IP space you pub public eye peas and premise as well as in the cloud and how do you kind of make a sense of all of that and I think that's where tools like a v8 ryx make a lot of sense in that space from our site it's it's really simple its latency its bandwidth and availability these don't change whether we're talking about cloud or data center or even corporate IT networking so our job when when these all of these things are simplified into like s3 for instance and our developers want to use those we have to be able to deliver that and for a particular group or another group that wants to use just just GCP resources these aren't we have to support these requirements and these wants as opposed to saying hey that's not a good idea our job is to enable them not to disable them do you think you guys think infrastructure is code which I love that I think it's that's the future it is we saw that with DevOps but I do start getting the networking is it getting down to the network portion where it's network is code because storage and compute working really well is seeing all kubernetes and service master and network as code reality is it there is got work to do it's absolutely there I mean you mentioned net DevOps and it's it's very real I mean in Cooper we build our networks through terraform and on not only just out of fun build an API so that we can consistently build V nets and VPC all across in the same unit yeah and even security groups and then on top an aviatrix comes in we can peer the networks bridge bridge all the different regions through code same with you guys but yeah everything we deploy is done with automation and then we also run things like lambda on top to make changes in real time we don't make manual changes on our network in the data center funny enough it's still manual but the cloud has enabled us to move into this automation mindset and and all my guys that's what they focus on is bringing what now what they're doing in the cloud into the data center which is kind of opposite of what it should be that's full or what it used to be it's full DevOps then yes yeah I mean for us was similar on-premise still somewhat very manual although we're moving more Norton ninja and terraform concepts but everything in the production environment is colored Confirmation terraform code and now coming into the datacenter same I just wanted to jump in on a Justin Smith one of the comment that you made because it's something that we always talk about a lot is that the center of gravity of architecture used to be an on-prem and now it's shifted in the cloud and once you have your strategic architecture what you--what do you do you push that everywhere so what you used to see at the beginning of cloud was pushing the architecture on prem into cloud now I want to pick up on what you said to you others agree that the center of architect of gravity is here I'm now pushing what I do in the cloud back into on pram and and then so first that and then also in the journey where are you at from 0 to 100 of actually in the journey to cloud DUI you 50% there are you 10% yes I mean are you evacuating data centers next year I mean were you guys at yeah so there's there's two types of gravity that you typically are dealing with no migration first is data gravity and your data set and where that data lives and then the second is the network platform that interrupts all that together right in our case the data gravity sold mostly on Prem but our network is now extending out to the app tier that's going to be in cloud right eventually that data gravity will also move to cloud as we start getting more sophisticated but you know in our journey we're about halfway there about halfway through the process we're taking a handle of you know lift and shift and when did that start and we started about three years ago okay okay go by it's a very different story it started from a garage and one hundred percent on the clock it's a business spend management platform as a software-as-a-service one hundred percent on the cloud it was like ten years ago right yes yeah you guys are riding the wave love that architecture Justin I want to ask user you guys mentioned DevOps I mean obviously we saw the huge observability wave which is essentially network management for the cloud in my opinion right yeah it's more dynamic but this isn't about visibility we heard from the last panel you don't know what's being turned on or turned off from a services standpoint at any given time how is all this playing out when you start getting into the DevOps down well this this is the big challenge for all of us as visibility when you talk transport within a cloud you know we very interesting we we have moved from having a backbone that we bought that we own that would be data center connectivity we now I work for as or as a subscription billing company so we want to support the subscription mindset so rather than going and buying circuits and having to wait three months to install and then coming up with some way to get things connected and resiliency and redundancy I my backbone is in the cloud I use the cloud providers interconnections between regions to transport data across and and so if you do that with their native solutions you you do lose visibility there are areas in that that you don't get which is why controlling you know controllers and having some type of management plane is a requirement for us to do what we're supposed to do and provide consistency while doing it a great conversation I loved when you said earlier latency bandwidth I think availability with your sim pop3 things guys SLA I mean you just do ping times between clouds it's like you don't know what you're getting for round-trip times this becomes a huge kind of risk management black hole whatever you want to call blind spot how are you guys looking at the interconnects between clouds because you know I can see that working from you know ground to cloud I'm per cloud but when you start doing with multi clouds workload I mean SL leis will be all over the map won't they just inherently but how do you guys view that yeah I think we talked about workload and we know that the workloads are going to be different in different clouds but they are going to be calling each other so it's very important to have that visibility that you can see how data is flowing at what latency and what our ability is hour is there and our authority needs to operate on that so it's solely use the software dashboard look at the times and look at the latency in the old days strong so on open so on you try to figure it out and then your day is you have to figure out just and what's your answer to that because you're in the middle of it yeah I mean I think the the key thing there is that we have to plan for that failure we have to plan for that latency and our applications it's starting start tracking in your SLI something you start planning for and you loosely couple these services and a much more micro services approach so you actually can handle that kind of failure or that type of unknown latency and unfortunately the cloud has made us much better at handling exceptions a much better way you guys are all great examples of cloud native from day one and you guys had when did you have the tipping point moment or the Epiphany of saying a multi clouds real I can't ignore it I got to factor it into all my design design principles and and everything you're doing what's it was there a moment or was it was it from day one now there are two divisions one was the business so in business there was some affinity to not be in one cloud or to be in one cloud and that drove from the business side so it has a cloud architect our responsibility was to support that business and other is the technology some things are really running better in like if you are running dot network load or you are going to run machine learning or AI so that you have you would have that preference of one cloud over other so it was the bill that we got from AWS I mean that's that's what drives a lot of these conversations is the financial viability of what you're building on top of it which is so we this failure domain idea which is which is fairly interesting is how do I solve or guarantee against a failure domain you have methodologies with you know back-end direct connects or interconnect with GCP all of these ideas are something that you have to take into account but that transport layer should not matter to whoever we're building this for our job is to deliver the frames in the packets what that flows across how you get there we want to make that seamless and so whether it's a public internet API call or it's a back-end connectivity through Direct Connect it doesn't matter it just has to meet a contract that you signed with your application folks yeah that's the availability piece just on your thoughts on that I think any comment on that so actually multi clouds become something much more recent in the last six to eight months I'd say we always kind of had a very much an attitude of like moving to Amazon from our private cloud is hard enough why complicate it further but the realities of the business and as we start seeing you know improvements in Google and Asia and different technology spaces the need for multi cloud becomes much more important as well as those are acquisition strategies I matured we're seeing that companies that used to be on premise that we typically acquire are now very much already on a cloud and if they're on a cloud I need to plug them into our ecosystem and so that's really change our multi cloud story in a big way I'd love to get your thoughts on the clouds versus the clouds because you know you compare them Amazon's got more features they're rich with features I see the bills are haiku people using them but Google's got a great Network Google's networks pretty damn good and then you got a sure what's the difference between the clouds who where they've evolved something whether they peak in certain areas better than others what what are the characteristics which makes one cloud better do they have a unique feature that makes Azure better than Google and vice versa what do you guys think about the different clouds yeah to my experience I think there is the approach is different in many places Google has a different approach very devops friendly and you can run your workload like your network can spend regions time I mean but our application ready to accept that MS one is evolving I mean I remember ten years back Amazon's network was a flat network we will be launching servers and 10.0.0.0 mode multi-account came out so they are evolving as you are at a late start but because they have a late start they saw the pattern and they they have some mature set up on the I mean I think they're all trying to say they're equal in their own ways I think they all have very specific design philosophies that allow them to be successful in different ways and you have to kind of that in mine is your architectural and solution for example Amazon has a very much a very regional affinity they don't like to go cross region in their architecture whereas Google is very much it's a global network we're gonna think about as a global solution I think Google also has advantages there to market and so it has seen what asier did wrong it's seen what AWS did wrong and it's made those improvements and I think that's one of their big advantage at great scale to Justin thoughts on the cloud so yeah Amazon built from the system up and Google built from the network down so their ideas and approaches are from a global versus or regional I agree with you completely that that is the big number one thing but the if you look at it from the outset interestingly the the inability or the ability for Amazon to limit layer 2 broadcasting and and what that really means from a VPC perspective changed all the routing protocols you can use all the things that we have built inside of a data center to provide resiliency and and and make things seamless to users all of that disappeared and so because we had to accept that at the VPC level now we have to accept it at the LAN level Google's done a better job of being able to overcome those things and provide those traditional Network facilities to us it's just great panel can go all day here's awesome so I heard we could we'll get to the cloud native naive question so kind of think about what's not even what's cloud is that next but I got to ask you had a conversation with a friend he's like when is the new land so if you think about what the land was at a data center when is the new link you get talking about the cloud impact so that means st when the old st was kind of changing into the new land how do you guys look at that because if you think about it what lands were for inside a premises was all about networking high speed but now when you take the win and make essentially a land do you agree with that and how do you view this trend and is it good or bad or is it ugly and what's what you guys take on this yeah I think it's the it's a thing that you have to work with your application architect so if you are managing networks and if you're a sorry engineer you need to work with them to expose the unreliability that would bring in so the application has to hand a lot of this the difference in the Layton sees and and the reliability has to be worked through the application there land when same concept as it be yesterday I think we've been talking about for a long time the erosion of the edge and so is this is just a continuation of that journey we've been on for the last several years as we get more and more cloud native when we start about API is the ability to lock my data in place and not be able to access it really goes away and so I think this is just continuation that thing I think it has challenges we start talking about weighing scale versus land scale the tooling doesn't work the same the scale of that tooling is much larger and the need to automation is much much higher in a way than it was in a land that's what we're seeing so much infrastructure as code yeah yeah so for me I'll go back again to this its bandwidth and its latency right that bet define those two land versus win but the other thing that's comes up more and more with cloud deployments is where is our security boundary and where can I extend this secure aware appliance or set of rules to protect what's inside of it so for us we're able to deliver VRS or route forwarding tables for different segments wherever we're at in the world and so they're they're trusted to talk to each other but if they're gonna go to someplace that's outside of their their network then they have to cross a security boundary and where we enforce policy very heavily so for me there's it's not just land when it's it's how does environment get to environment more importantly that's a great point and security we haven't talked to yet but that's got to be baked in from the beginning that's architecture thoughts on security are you guys are dealing with it yeah start from the base have app to have security built in have TLS have encryption on the data I transit data at rest but as you bring the application to the cloud and they are going to go multi-cloud talking to over the Internet in some places well have apt web security I mean I mean our principals day Security's day zero every day and so we we always build it into our design we load entire architecture into our applications it's encrypt everything it's TLS everywhere it's make sure that that data is secured at all times yeah one of the cool trends at RSA just as a side note was the data in use encryption piece which is a homomorphic stuff was interesting all right guys final question you know we heard on the earlier panel was also trending at reinvent we take the tea out of cloud native it spells cloud naive okay they got shirts now he being sure he's gonna got this trend going what does that mean to be naive so if you're to your peers out there watching a live stream and also the suppliers that are trying to you know supply you guys with technology and services what's naive look like and what's native look like when is someone naive about implementing all this stuff so for me it's because we are in hundred-percent cloud for us its main thing is ready for the change and you will you will find new building blocks coming in and the network design will evolve and change so don't be naive and think that it's static you wall with the change I think the big naivety that people have is that well I've been doing it this way for twenty years and been successful it's going to be successful in cloud the reality is that's not the case you have to think some of the stuff a little bit differently and you need to think about it early enough so that you can become cloud native and really enable your business on cloud yeah for me it's it's being open minded right the the our industry the network industry as a whole has been very much I am smarter than everybody else and we're gonna tell everybody how it's going to be done and we have we fell into a lull when it came to producing infrastructure and and and so embracing this idea that we can deploy a new solution or a new environment in minutes as opposed to hours or weeks or four months in some cases is really important and and so you know it's are you being closed-minded native being open-minded exactly and and it took a for me it was that was a transformative kind of where I was looking to solve problems in a cloud way as opposed to looking to solve problems in this traditional old-school way all right I know we're out of time but I ask one more question so you guys so good it could be a quick answer what's the BS language when you the BS meter goes off when people talk to you about solutions what's the kind of jargon that you hear that's the BS meter going off what are people talking about that in your opinion you here you go that's total B yes what what triggers use it so that I have two lines out of movies that are really I can if the if I say them without actually thinking them it's like 1.21 jigowatts how you're out of your mind from Back to the Future right somebody's gonna be a bank and then and then Martin ball and and Michael Keaton and mr. mom when he goes to 22 21 whatever it takes yeah those two right there if those go off in my mind somebody's talking to me I know they're full of baloney so a lot of speeds would be a lot of speeds and feeds a lot of data did it instead of talking about what you're actually doing and solutioning for you're talking about well I does this this this and okay 220 221 anytime I start seeing the cloud vendor start benchmarking against each other it's your workload is your workload you need to benchmark yourself don't don't listen to the marketing on that that's that's all I'm a what triggers you and the bsp I think if somebody explains you a not simple they cannot explain you in simplicity then that's a good one all right guys thanks for the great insight great panel how about a round of applause practitioners DX easy solutions integrating company than we service customers from all industry verticals and we're helping them to move to the digital world so as a solutions integrator we interface with many many customers that have many different types of needs and they're on their IT journey to modernize their applications into the cloud so we encounter many different scenarios many different reasons for those migrations all of them seeking to optimize their IT solutions to better enable their business we have our CPS organization it's cloud platform services we support AWS does your Google Alibaba corkle will help move those workloads to wherever it's most appropriate no one buys the house for the plumbing equally no one buys the solution for the networking but if the plumbing doesn't work no one likes the house and if this network doesn't work no one likes a solution so network is ubiquitous it is a key component of every solution we do the network connectivity is the lifeblood of any architecture without network connectivity nothing works properly planning and building a scalable robust network that's gonna be able to adapt with the application needs its when encountering some network design and talking about speed the deployment aviatrix came up in discussion and we then further pursued an area DHT products that incorporated aviatrix is part of a new offering that we are in the process of developing that really enhances our ability to provide cloud connectivity for the lance cloud connectivity there's a new line of networking services that we're getting into as our clients move into hybrid cloud networking it is much different than our traditional based services an aviatrix provides a key component in that service before we found aviatrix we were using just native peering connections but there wasn't a way to visualize all those peering connections and with multiple accounts multiple contacts for security with a v8 church we were able to visualize those different peering connections of security groups it helped a lot especially in areas of early deployment scenarios were quickly able to then take those deployment scenarios and turn them into scripts that we can then deploy repeatedly their solutions were designed for work with the cloud native capabilities first and where those cloud native capabilities fall short they then have solution sets that augment those capabilities I was pleasantly surprised number one with the aviatrix team as a whole in their level of engagement with us you know we weren't only buying the product we were buying a team that came on board to help us implement and solution that was really good to work together to learn both what aviatrix had to offer as well as enhancements that we had to bring that aviatrix was able to put into their product and meet our needs even better aviatrix was a joy to find because they really provided us the technology that we needed in order to provide multi cloud connectivity that really added to the functionality that you can't get from the basic law providing services we're taking our customers on a journey to simplify and optimize their IT infrastructure aviatrix certainly has made my job much easier okay welcome back to altitude 2020 for the digital event for the live feed welcome back I'm John Ford with the cube with Steve Mulaney CEO aviatrix for the next panel from global system integrators the folks who are building and working with folks on their journey to multi cloud and cloud native networking we've got a great panel George Buckman with dxc and Derek Monahan with wwt welcome to the stage [Applause] [Music] okay you guys are the ones out there advising building and getting down and dirty with multi cloud and cloud native networking we heard from the customer panel you can see the diversity of where people come into the journey of cloud it kind of depends upon where you are but the trends are all clear cloud native networking DevOps up and down the stack this has been the main engine what's your guys take of the disk journey to multi cloud what do you guys seeing yeah it's it's critical I mean we're seeing all of our enterprise customers enter into this they've been through the migrations of the easy stuff you know now they're trying to optimize and get more improvement so now the tough stuffs coming on right and you know they need their data processing near where their data is so that's driving them to a multi cloud environment okay we heard some of the edge stuff I mean you guys are exactly you've seen this movie before but now it's a whole new ballgame what's your take yeah so I'll give you a hint so our practice it's not called the cloud practice it's the multi cloud practice and so if that gives you a hint of how we approach things it's very consultative and so when we look at what the trends are let's look a little year ago about a year ago we were having conversations with customers let's build a data center in the cloud let's put some VP C's let's throw some firewalls with some DNS and other infrastructure out there and let's hope it works this isn't a science project so what we're trying we're starting to see is customers are starting to have more of a vision and we're helping with that consultative nature but it's totally based on the business and you got to start understanding how the lines of business are using the apps and then we evolved into that next journey which is a foundational approach to what are some of the problem statement customers are solving when they come to you what are the top things that are on their my house or the ease of use of jelly all that stuff but what specifically they did digging into yeah some complexity I think when you look at multi cloud approach in my view is network requirements are complex you know I think they are but I think the approach can be let's simplify that so one thing that we try to do and this is how we talk to customers is let's just like you simplify an aviatrix simplifies the automation orchestration of cloud networking we're trying to simplify the design the planning implementation of infrastructure across multiple workloads across multiple platforms and so the way we do it is we sit down we look at not just use cases and not just the questions in common we anticipate we actually build out based on the business and function requirements we build out a strategy and then create a set of documents and guess what we actually build in the lab and that lab that we platform we built proves out this reference architecture actually works absolutely we implement similar concepts I mean we they're proven practices they work great so well George you mentioned that the hard part is now upon us are you referring to networking what is specifically were you getting at Tara so the easy parts done now so for the enterprises themselves migrating their more critical apps or more difficult apps into the environments you know they've just we've just scratched the surface I believe on what enterprises that are doing to move into the cloud to optimize their environments to take advantage of the scale and speed to deployment and to be able to better enable their businesses so they're just now really starting the >> so do you get you guys see what I talked about them in terms of their Cambrian explosion I mean you're both monster system integrators with you know top fortune enterprise customers you know really rely on you for for guidance and consulting and so forth and boy they're networks is that something that you you've seen I mean does that resonate did you notice a year and a half ago and all of a sudden the importance of cloud for enterprise shoot up yeah I mean we're seeing it okay in our internal environment as yeah you know we're a huge company or right customer zero or an IT so we're experiencing that internal okay and every one of our other customers so I have another question oh I don't know the answer to this and the lawyer never asks a question that you don't know the answer to but I'm gonna ask it anyway d XE @ wwt massive system integrators why aviatrix yep so great question Steve so I think the way we approach things I think we have a similar vision a similar strategy how you approach things how we approach things that it worldwide technology number one we want to simplify the complexity and so that's your number one priorities let's take the networking but simplify it and I think part of the other point I'm making is we have we see this automation piece as not just an afterthought anymore if you look at what customers care about visibility and automation is probably the at the top three maybe the third on the list and I think that's where we see the value and I think the partnership that we're building and what I what I get excited about is not just putting yours in our lab and showing customers how it works it's Co developing a solution with you figuring out hey how can we make this better right mr. piller is a huge thing Jenna insecurity alone Network everything's around visibility what automation do you see happening in terms of progression order of operations if you will it's the low-hanging fruit what are people working on now and what are what are some of the aspirational goals around when you start thinking about multi cloud and automation yep so I wanted to get back to answer that question I want to answer your question you know what led us there and why aviatrix you know in working some large internal IT projects and and looking at how we were going to integrate those solutions you know we like to build everything with recipes where Network is probably playing catch-up in the DevOps world but with a DevOps mindset looking to speed to deploy support all those things so when you start building your recipes you take a little of this a little of that and you mix it all together well when you look around you say wow look there's this big bag of a VHS let me plop that in that solves a big part of my problems that I have to speed to integrate speed to deploy and the operational views that I need to run this so that was 11 years about reference architectures yeah absolutely so you know they came with a full slate of reference architectures already the out there and ready to go that fit our needs so it's very very easy for us to integrate those into our recipes what do you guys think about all the multi vendor interoperability conversations that have been going on choice has been a big part of multi cloud in terms of you know customers want choice didn't you know they'll put a workload in the cloud that works but this notion of choice and interoperability is become a big conversation it is and I think our approach and that's why we talk to customers is let's let's speed and be risk of that decision making process and how do we do that because the interoperability is key you're not just putting it's not just a single vendor we're talking you know many many vendors I mean think about the average number of cloud applications a customer uses a business and enterprise business today you know it's it's above 30 it's it's skyrocketing and so what we do and we look at it from an Billy approaches how do things interoperate we test it out we validate it we build a reference architecture it says these are the critical design elements now let's build one with aviatrix and show how this works with aviatrix and I think the the important part there though is the automation piece that we add to it invisibility so I think the visibility is what's what I see lacking across the industry today and the cloud needed that's been a big topic yep okay in terms of aviatrix that you guys see them coming in there one of the ones that are emerging and the new brands emerging with multi cloud you still got the old guard incumbents with huge footprints how our customers dealing with that that kind of component in dealing with both of them yeah I mean where we have customers that are ingrained with a particular vendor and you know we have partnerships with many vendors so our objective is to provide the solution that meets that client and you they all want multi vendor they all want interoperability correct all right so I got to ask you guys a question while we were defining de to operations what does that mean I mean you guys are looking at the big business and technical components of architecture what does de two operations mean what's the definition of that yeah so I think from our perspective my experience we you know de to operations whether it's it's not just the you know the orchestration piece and setting up and let it a lot of automate and have some you know change control you're looking at this from a data perspective how do I support this ongoing and make it easy to make changes as we evolve that the the cloud is very dynamic the the nature of how that fast is expanding the number of features is astonishing trying to keep up to date with a number of just networking capabilities and services that are added so I think day to operation starts with a fundable understanding of you know building out supporting a customer's environments and making it the automation piece easy from from you know a distance I think yeah and you know taking that to the next level of being able to enable customers to have catalog items that they can pick and choose hey I need this network connectivity from this cloud location back to this on pram and being able to have that automated and provisioned just simply by ordering it for the folks watching out there guys take a minute to explain as you guys are in the trenches doing a lot of good work what are some of the engagement that you guys get into how does that progress what is that what's what happens there they call you up and say hey I need multi-cloud or you're already in there I mean take us through why how someone can engage to use a global si to come in and make this thing happen what's looks like typical engagement look like yeah so from our perspective we typically have a series of workshops in a methodology that we kind of go along the journey number one we have a foundational approach and I don't mean foundation meaning the network foundation that's a very critical element we got a factor in security we got a factor in automation so we think about foundation we do a workshop that starts with education a lot of times we'll go in and we'll just educate the customer what does VPC sharing you know what is a private link and Azure how does that impact your business you know customers I want to share services out in an ecosystem with other customers and partners well there's many ways to accomplish that so our goal is to you know understand those requirements and then build that strategy with them thoughts George oh yeah I mean I'm one of the guys that's down in the weeds making things happen so I'm not the guy on the front line interfacing with the customers every day but we have a similar approach you know we have a consulting practice that will go out and and apply their practices to see what those and when do you parachute in yeah when I then is I'm on the back end working with our offering development leads for the networking so we understand or seeing what customers are asking for and we're on the back end developing the solutions that integrate with our own offerings as well as enable other customers to just deploy quickly to meet their connectivity needs it so the patterns are similar great final question for you guys I want to ask you to paint a picture of what success looks like and you know for name customers you don't forget in reveal of kind of who they are but what does success look like in multi-cloud as you as you paint a picture for the folks here and watching on the live stream it's if someone says hey I want to be multi-cloud I got to have my operations agile I want full DevOps I want programmability security built in from day zero what does success look like yeah I think success looks like this so when you're building out a network the network is a harder thing to change than some other aspects of cloud so what we think is even if you're thinking about that second cloud which we have most of our customers are on to public clouds today they might be dabbling in that is you build that network foundation an architecture that takes in consideration where you're going and so once we start building that reference architecture out that shows this is how to sit from a multi-cloud perspective not a single cloud and let's not forget our branches let's not forget our data centers let's not forget how all this connects together because that's how we define multi-cloud it's not just in the cloud it's on Prem and it's off Prem and so collectively I think the key is also is that we provide them an hld you got to start with in a high-level design that can be tweaked as you go through the journey but you got to give a solid structural foundation and that networking which we think most customers think as not not the network engineers but as an afterthought we want to make that the most critical element before you start the journey Jorge from your seed had a success look for you so you know it starts out on these journeys often start out people not even thinking about what is gonna happen what what their network needs are when they start their migration journey to the cloud so I want this success to me looks like them being able to end up not worrying about what's happening in the network when they move to the cloud good guys great insight thanks for coming on share and pen I've got a round of applause the global system integrators [Applause] [Music] okay welcome back from the live feed I'm shuffle with the cube Steve Eleni CEO of aviatrix my co-host our next panel is the aviatrix certified engineers also known as aces this is the folks that are certified their engineering they're building these new solutions please welcome Toby Foster min from Attica Stacy linear from Terra data and Jennifer Reid with Victor Davis to the stage I was just gonna I was just gonna rip you guys and say where's your jackets and Jen's got the jacket on okay good love the aviatrix aces pile of gear there above the clouds soaring to new heights that's right so guys aviatrix aces love the name I think it's great certified this is all about getting things engineered so there's a level of certification I want to get into that but first take us through the day in the life of an ace and just to point out Stacey's a squad leader so he's like a squadron leader Roger and leader yeah squadron leader so he's got a bunch of aces underneath him but share your perspective day-in-the-life Jeff we'll start with you sure so I have actually a whole team that works for me both in the in the North America both in the US and in Mexico and so I'm eagerly working to get them certified as well so I can become a squad leader myself but it's important because one of the the critical gaps that we've found is people having the networking background because they're you graduate from college and you have a lot of computer science background you can program you've got Python but networking in packets they just don't get and so just taking them through all the processes that it's really necessary to understand when you're troubleshooting is really critical mm-hmm and because you're gonna get an issue where you need to figure out where exactly is that happening on the network you know is my my issue just in the V PCs and on the instant side is a security group or is it going on print and this is something actually embedded within Amazon itself I mean I should troubleshot an issue for about six months going back and forth with Amazon and it was the vgw VPN because they were auto-scaling on two sides and we ended up having to pull out the Cisco's and put in aviatrix so I could just say okay it's fixed and actually actually helped the application teams get to that and get it solved yeah but I'm taking a lot of junior people and getting them through that certification process so they can understand and see the network the way I see the network I mean look I've been doing this such for 25 years but I got out when I went in the Marine Corps that's what I did and coming out the network is still the network but people don't get the same training they get they got in the 90s it's just so easy just write some software and they work takes care of itself yes I'll be will get I'll come back to that I want to come back to that that problem solved with Amazon but Toby I think the only thing I have to add to that is that it's always the network fault as long as I've been in network have always been the network's fault and I'm even to this day you know it's still the network's fault and part of being a network guy is that you need to prove when it is and when it's not your fault and that means you need to know a little bit about a hundred different things to make that and now you got a full stack DevOps you gotta know a lot more times another hundred and these times are changing yeah they say you're a squadron leader I get that right what is what does a squadron leader first can you describe what it is I think probably just leading all the network components of it but not they from my perspective when to think about what you asked them was it's about no issues and no escalation soft my day is a good that's a good day yes it's a good day Jennifer you mentioned the Amazon thing this brings up a good point you know when you have these new waves come in you have a lot of new things newly use cases a lot of the finger-pointing it's that guy's problem that girl's problem so what is how do you solve that and how do you get the young guns up to speed is there training is that this is where the certification comes in well is where the certification is really going to come in I know when we we got together at reinvent one of the the questions that that we had with Stephen the team was what what should our certification look like you know she would just be teaching about what aviatrix troubleshooting brings to bear but what should that be like and I think Toby and I were like no no no that's going a little too high we need to get really low because the the better someone can get at actually understanding what actually happening in the network and and where to actually troubleshoot the problem how to step back each of those processes because without that it's just a big black box and they don't know you know because everything is abstracted in Amazon Internet and Azure and Google is substracted and they have these virtual gateways they have VPNs that you just don't have the logs on it's you just don't know and so then what tools can you put in front of them of where they can look because there are full logs well as long as we turned on the flow logs when they built it you know and there's like each one of those little things that well if they had decided to do that when they built it it's there but if you can come in later to really supplement that with training to actual troubleshoot and do a packet capture here as it's going through then teaching them how to read that even yeah Toby we were talking before we came on up on stage about your career you've been networking all your time and then you know you're now entering a lot of younger people how is that going because the people who come in fresh they don't have all the old war stories they don't know you talk about you know that's dimmer fault I walk in bare feet in the snow when I was your age I mean it's so easy now right they say what's your take on how you train the young P so I've noticed two things one is that they are up to speed a lot faster in generalities of networking they can tell you what a network is in high school level now where I didn't learn that too midway through my career and they're learning it faster but they don't necessarily understand why it's that way or you know everybody thinks that it's always slash 24 for a subnet and they don't understand why you can break it down smaller why it's really necessary so the the ramp up speed is much faster for these guys that are coming in but they don't understand why and they need some of that background knowledge to see where it's coming from and why is it important and old guys that's where we thrive Jennifer you mentioned you you got in from the Marines health spa when you got into networking how what was it like then and compared it now almost like we heard earlier static versus dynamic don't be static cuz then you just set the network you got a perimeter yeah no there was no such thing ya know so back in the day I mean I mean we had banyan vines for email and you know we had token ring and I had to set up token ring networks and figure out why that didn't work because how many of things were actually sharing it but then actually just cutting fiber and running fiber cables and dropping them over you know shelters to plug them in and oh crap they swung it too hard and shattered it now I gotta be great polished this thing and actually shoot like to see if it works I mean that was the network crimped five cat5 cables to run an Ethernet you know and then from that just said network switches dumb switches like those were the most common ones you had then actually configuring routers and you know logging into a Cisco router and actually knowing how to configure that and it was funny because I had gone all the way up and was a software product manager for a while so I've gone all the way up the stack and then two and a half three years ago I came across to to work with entity group that it became Victor Davis but we went to help one of our customers Davis and it was like okay so we need to fix the network okay I haven't done this in 20 years but all right let's get to it you know because it really fundamentally does not change it's still the network I mean I've had people tell me well you know when we go to containers we will not have to worry about the network and I'm like yeah you don't I do and then with this were the program abilities it really interesting so I think this brings up the certification what are some of the new things that people should be aware of that come in with the aviatrix ace certification what are some of the highlights can you guys share some of the some of the highlights around the certifications I think some of the importance is that it's it doesn't need to be vendor specific for network generality or basic networking knowledge and instead of learning how Cisco does something or how Palo Alto does something we need to understand how and why it works as a basic model and then understand how each vendor has gone about that problem and solved it in a general that's true in multi cloud as well you can't learn how cloud networking works without understanding how a double u.s. senator and GCP are all slightly the same but slightly different and some things work and some things don't I think that's probably the number one take I think having a certification across clouds is really valuable cuz we heard the global si help the business issues what does it mean to do that is it code is that networking is it configuration is that aviatrix what is the I mean op C aviatrix is the ASA certification but what is it about the multi cloud that makes it multi networking and multi vendor easy answer is yes so you got to be a generalist getting your hands and all you have to be right it takes experience because it's every every cloud vendor has their own certification whether that's hops and advanced networking and advanced security or whatever it might be yeah they can take the test but they have no idea how to figure out what's wrong with that system and the same thing with any certification but it's really getting your hands in there and actually having to troubleshoot the problems you know actually work the problem you know and calm down it's going to be okay I mean because I don't know how many calls I've been on or even had aviatrix join me on it's like okay so everyone calm down let's figure out what's happening it's like we've looked at that screen three times looking at it again it's not gonna solve that problem right but at the same time you know remaining calm but knowing that it really is I'm getting a packet from here to go over here it's not working so what could be the problem you know and actually stepping them through with those scenarios but that's like you only get that by having to do it you know and seeing it and going through it and then I have a question so we you know I just see it we started this program maybe months ago we're seeing a huge amount of interest I mean we're oversubscribed on all the training sessions we've got people flying from around the country even with coronavirus flying to go to Seattle to go to these events were oversubscribed good is that watching leader would put there yeah is that something that you see in your organization's are you recommending that to people do you see I mean I'm just I guess I'm surprised I'm not surprised but I'm really surprised by the demand if you would of this multi cloud network certification because it really isn't anything like that is that something you guys can comment on or do you see the same things in your organization's I say from my side because we operate in the multi cloud environment so it really helps and it's beneficial for us yeah I think I would add that uh networking guys have always needed to use certifications to prove that they know what they know right it's not good enough to say yeah I know IP addresses or I know how a network works and a couple little check marks or a little letters buying helps give you validity um so even in our team we can say hey you know we're using these certifications to know that you know enough of the basics and enough of the understandings that you have the tools necessary right so I guess my final question for you guys is why an eighth certification is relevant and then second part is share what the livestream folks who aren't yet a certified or might want to jump in to be AVH or certified engineers why is it important so why is it relevant and why shouldn't someone want to be an ace-certified I'm uses the right engineer I think my views a little different I think certification comes from proving that you have the knowledge not proving that you get a certification to get no I mean they're backwards so when you've got the training and the understanding and the you use that to prove and you can like grow your certification list with it versus studying for a test to get a certification and have no understanding of ok so that who is the right person that look at this is saying I'm qualified is it a network engineer is it a DevOps person what's your view you know is it a certain you know I think cloud is really the answer it's the as we talked like the edge is getting eroded so is the network definitions eating eroded we're getting more and more of some network some DevOps some security lots and lots of security because network is so involved in so many of them that's just the next progression there I would say I expand that to more automation engineers because we have those now probably extended as well well I think that the training classes themselves are helpful especially the entry-level ones for people who may be quote-unquote cloud architects but I've never done anything and networking for them to understand why we need those things to really work whether or not they go through to eventually get a certification is something different but I really think fundamentally understanding how these things work it makes them a better architect makes them better application developer but even more so as you deploy more of your applications into the cloud really getting an understanding even from our people who have tradition down on Prem networking they can understand how that's going to work in the cloud - well I know we've got just under 30 seconds left I want to get one more question than just one more for the folks watching that are maybe younger that don't have that networking training from your experiences each of you can answer why is it should they know about networking what's the benefit what's in it for them motivate them share some insights and why they should go a little bit deeper in networking Stacey we'll start with you we'll go down I'd say it's probably fundamental right if you don't deliver solutions networking use the very top I would say if you fundamental of an operating system running on a machine how those machines talk together as a fundamental change is something that starts from the base and work your way up right well I think it's a challenge because you you've come from top down now you're gonna start looking from bottom up and you want those different systems to cross communicate and say you built something and you're overlapping IP space not that that doesn't happen but how can I actually make that still operate without having to reappear e-platform it's like those challenges like those younger developers or sis engineers can really start to get their hands around and understand those complexities and bring that forward in their career they got to know the how the pipes are working and because know what's going some plumbing that's right and the works a how to code it that's right awesome thank you guys for great insights ace certified engineers also known as aces give a round of applause thank you okay all right that concludes my portion thank you Steve thanks for have Don thank you very much that was fantastic everybody round of applause for John Currier yeah so great event great event I'm not going to take long we've got we've got lunch outside for that for the people here just a couple of things just call to action right so we saw the Aces you know for those of you out on the stream here become a certified right it's great for your career it's great for knowledge is is fantastic it's not just an aviatrix thing it's gonna teach you about cloud networking multi-cloud networking with a little bit of aviatrix exactly what the Cisco CCIE program was for IP network that type of the thing that's number one second thing is is is is learn right so so there's a there's a link up there for the four to join the community again like I started this this is a community this is the kickoff to this community and it's a movement so go to what a v8 community bh6 comm starting a community at multi cloud so you know get get trained learn I'd say the next thing is we're doing over a hundred seminars in across the United States and also starting into Europe soon will come out and will actually spend a couple hours and talk about architecture and talk about those beginning things for those of you on the you know on the livestream in here as well you know we're coming to a city near you go to one of those events it's a great way to network with other people that are in the industry as well as to start to learn and get on that multi-cloud journey and then I'd say the last thing is you know we haven't talked a lot about what aviatrix does here and that's intentional we want you you know leaving with wanting to know more and schedule get with us in schedule a multi our architecture workshop session so we we sit out with customers and we talk about where they're at in that journey and more importantly where they're going in that in-state architecture from networking compute storage everything and everything you heard today every panel kept talking about architecture talking about operations those are the types of things that we saw we help you cook define that canonical architecture that system architecture that's yours so for so many of our customers they have three by five plotted lucid charts architecture drawings and it's the customer name slash aviatrix arc network architecture and they put it on their whiteboard that's what what we and that's the most valuable thing they get from us so this becomes their twenty-year network architecture drawing that they don't do anything without talking to us and look at that architecture that's what we do in these multi hour workshop sessions with customers and that's super super powerful so if you're interested definitely call us and let's schedule that with our team so anyway I just want to thank everybody on the livestream thank everybody here hopefully it was it was very useful I think it was and joined the movement and for those of you here join us for lunch and thank you very much [Applause] [Music]

ladies and gentlemen this is your captain speaking we will soon be taking off on our way to altitude please keep your seatbelts fastened and remain in your seats we will be experiencing turbulence until we are above the clouds ladies and gentlemen we are now cruising at altitude sit back and enjoy the ride [Music] altitude is a community of thought leaders and pioneers cloud architects and enlightened network engineers who have individually and are now collectively leading their own IT teams and the industry on a path to lift cloud networking above the clouds empowering Enterprise IT to architect design and control their own cloud network regardless of the turbulent clouds beneath them it's time to gain altitude ladies and gentlemen Steve Mulaney president and CEO of aviatrix the leader of multi cloud networking [Music] [Applause] all right good morning everybody here in Santa Clara as well as to the what millions of people watching the livestream worldwide welcome to altitude 2020 all right so we've got a fantastic event today really excited about the speakers that we have today and the experts that we have and really excited to get started so one of the things I wanted to just share was this is not a one-time event it's not a one-time thing that we're gonna do sorry for the aviation analogy but you know sherry way aviatrix means female pilot so everything we do as an aviation theme this is a take-off for a movement this isn't an event this is a take-off of a movement a multi-cloud networking movement and community that we're inviting all of you to become part of and-and-and why we're doing that is we want to enable enterprises to rise above the clouds so to speak and build their network architecture regardless of which public cloud they're using whether it's one or more of these public clouds so the good news for today there's lots of good news but this is one good news is we don't have any powerpoint presentations no marketing speak we know that marketing people have their own language we're not using any of that in those sales pitches right so instead what are we doing we're going to have expert panels we've got Simone Rashard Gartner here we've got 10 different network architects cloud architects real practitioners they're going to share their best practices and there are real-world experiences on their journey to the multi cloud so before we start and everybody know what today is in the u.s. it's Super Tuesday I'm not gonna get political but Super Tuesday there was a bigger Super Tuesday that happened 18 months ago and maybe eight six employees know what I'm talking about 18 months ago on a Tuesday every enterprise said I'm gonna go to the cloud and so what that was was the Cambrian explosion for cloud for the price so Frank kibrit you know what a Cambrian explosion is he had to look it up on Google 500 million years ago what happened there was an explosion of life where it went from very simple single-cell organisms to very complex multi-celled organisms guess what happened 18 months ago on a Tuesday I don't really know why but every enterprise like I said all woke up that day and said now I'm really gonna go to cloud and that Cambrian explosion of cloud went meant that I'm moving from very simple single cloud single use case simple environment to a very complex multi cloud complex use case environment and what we're here today is we're gonna go and dress that and how do you handle those those those complexities and when you look at what's happening with customers right now this is a business transformation right people like to talk about transitions this is a transformation and it's actually not just the technology transformation it's a business transformation it started from the CEO and the boards of enterprise customers where they said I have an existential threat to the survival of my company if you look at every industry who they're worried about is not the other 30 year old enterprise what they're worried about is the three year old enterprise that's leveraging cloud that's leveraging AI and that's where they fear that they're going to actually get wiped out right and so because of this existential threat this is CEO lead this is board led this is not technology led it is mandated in the organization's we are going to digitally transform our enterprise because of this existential threat and the movement to cloud is going to enable us to go do that and so IT is now put back in charge if you think back just a few years ago in cloud it was led by DevOps it was led by the applications and it was like I said before their Cambrian explosion is very simple now with this Cambrian explosion and enterprises getting very serious and mission critical they care about visibility they care about control they care about compliance conformance everything governance IT is in charge and and and that's why we're here today to discuss that so what we're going to do today is much of things but we're gonna validate this journey with customers do they see the same thing we're gonna validate the requirements for multi-cloud because honestly I've never met an enterprise that is not going to be multi-cloud many are one cloud today but they all say I need to architect my network for multiple clouds because that's just what the network is there to support the applications and the applications will run and whatever cloud it runs best in and you have to be prepared for that the second thing is is is architecture again with the IT in charge you architecture matters whether it's your career whether it's how you build your house it doesn't matter horrible architecture your life is horrible forever good architecture your life is pretty good so we're gonna talk about architecture and how the most fundamental and critical part of that architecture and that basic infrastructure is the network if you don't get that right nothing works right way more important and compute way more important than storm dense storage network is the foundational element of your infrastructure then we're going to talk about day 2 operations what does that mean well day 1 is one day of your life that's who you wire things up they do and beyond I tell everyone in networking and IT it's every day of your life and if you don't get that right your life is bad forever and so things like operations visibility security things like that how do I get my operations team to be able to handle this in an automated way because it's not just about configuring it in the cloud it's actually about how do I operationalize it and that's a huge benefit that we bring as aviatrix and then the last thing we're going to talk and it's the last panel we have I always say you can't forget about the humans right so all this technology all these things that we're doing it's always enabled by the humans at the end of the day if the humans fight it it won't get deployed and we have a massive skills gap in cloud and we also have a massive skill shortage you have everyone in the world trying to hire cloud network architects right there's just not enough of them going around so at aviatrix as leaders knew we're gonna help address that issue and try to create more people we created a program and we call the ACE program again an aviation theme it stands for aviatrix certified engineer very similar to what Cisco did with CC IES where Cisco taught you about IP networking a little bit of Cisco we're doing the same thing we're gonna teach network architects about multi-cloud networking and architecture and yeah you'll get a little bit of aviatrix training in there but this is the missing element for people's careers and also within their organization so we're gonna we're gonna go talk about that so great great event great show when try to keep it moving I'd next want to introduce my my host he's the best in the business you guys have probably seen him multiple million times he's the co CEO and co-founder of Tube John Fourier okay awesome great great speech they're awesome I totally agree with everything you said about the explosion happening and I'm excited here at the heart of Silicon Valley to have this event it's a special digital event with the cube and aviatrix where we live streaming to millions of people as you said maybe not a million maybe not really take this program to the world this is a little special for me because multi-cloud is the hottest wave and cloud and cloud native networking is fast becoming the key engine of the innovation so we got an hour and a half of action-packed programming we have a customer panel two customer panels before that Gartner is going to come on talk about the industry we have a global system integrators we talk about how they're advising and building these networks and cloud native networking and then finally the Aces the aviatrix certified engineer is gonna talk more about their certifications and the expertise needed so let's jump right in and let's ask someone rashard to come on stage from Gartner we'll check it all up [Applause] [Music] okay so kicking things off certain started gartner the industry experts on cloud really kind of more to your background talk about your background before you got the gardener yeah before because gardener was a chief network architect of a fortune five companies with thousands of sites over the world and I've been doing everything and IT from a C programmer in the 90 to a security architect to a network engineer to finally becoming a network analyst so you rode the wave now you're covering at the marketplace with hybrid cloud and now moving quickly to multi cloud is really I was talking about cloud natives been discussed but the networking piece is super important how do you see that evolving well the way we see Enterprise adapt in cloud first thing you do about networking the initial phases they either go in a very ad hoc way is usually led by non non IT like a shadow whitey or application people or some kind of DevOps team and it's it just goes as it's completely unplanned decreed VP sees left and right with a different account and they create mesh to manage them and their direct connect or Express route to any of them so that's what that's a first approach and on the other side again it within our first approach you see what I call the lift and shift way we see like Enterprise IT trying to basically replicate what they have in a data center in the cloud so they spend a lot of time planning doing Direct Connect putting Cisco routers and f5 and Citrix and any checkpoint Palo Alto divides the data that are sent removing that to that cloud and I ask you the aha moments gonna come up a lot of our panels is where people realize that it's a multi cloud world I mean they either inherit clouds certainly they're using public cloud and on-premises is now more relevant than ever when's that aha moment that you're seeing where people go well I got to get my act together and get on this well the first but even before multi-cloud so these two approach the first one like the adduct way doesn't scale at some point idea has to save them because they don't think about the two they don't think about operations they have a bunch of VPC and multiple clouds the other way that if you do the left and shift wake they cannot take any advantages of the cloud they lose elasticity auto-scaling pay by the drink these feature of agility features so they both realize okay neither of these ways are good so I have to optimize that so I have to have a mix of what I call the cloud native services within each cloud so they start adapting like other AWS constructor is your construct or Google construct then that's I would I call the up optimal phase but even that they they realize after that they are very different all these approaches different the cloud are different identities is completely difficult to manage across clouds I mean for example AWS has accounts there's subscription and in adarand GCP their projects it's a real mess so they realize well I can't really like concentrate used the cloud the cloud product and every cloud that doesn't work so I have I'm doing multi cloud I like to abstract all of that I still wanna manage the cloud from an API to interview I don't necessarily want to bring my incumbent data center products but I have to do that in a more API driven cloud they're not they're not scaling piece and you were mentioning that's because there's too many different clouds yes that's the piece there so what are they doing whether they really building different development teams as its software what's the solution well this the solution is to start architecting the cloud that's the third phase I call that the multi cloud architect phase where they have to think about abstraction that works across cloud fact even across one cloud it might not scale as well if you start having like 10,000 security group in AWS that doesn't scale you have to manage that if you have multiple VPC it doesn't scale you need a third party identity provider so it barely scales within one cloud if you go multiple cloud it gets worse and worse see way in here what's your thoughts I thought we said this wasn't gonna be a sales pitch for aviatrix you just said exactly what we do so anyway I'm just a joke what do you see in terms of where people are in that multi cloud a lot of people you know everyone I talked to started in one cloud right but then they look and they say okay but I'm now gonna move to adjourn I'm gonna move do you see a similar thing well yes they are moving but they're not there's not a lot of application that use a tree cloud at once they move one app in deserve one app in individuals one get happened Google that's what we see so far okay yeah I mean one of the mistakes that people think is they think multi-cloud no one is ever gonna go multi-cloud for arbitrage they're not gonna go and say well today I might go into Azure because I got a better rate of my instance that's never do you agree with that's never going to happen what I've seen with enterprise is I'm gonna put the workload in the app the app decides where it runs best that may be a sure maybe Google and for different reasons and they're gonna stick there and they're not gonna move let me ask you infrastructure has to be able to support from a networking team be able to do that do you agree with that yes I agree and one thing is also very important is connecting to that cloud is kind of the easiest thing so though while I run Network part of the cloud connectivity to the cloud is kind of simple I agree IPSec VP and I reckon Express that's a simple part what's difficult and even a provisioning part is easy you can use terraform and create v pieces and v nets across which we cloud provider right what's difficult is the day-to-day operations so it's what to find a to operations what is that what does that actually mean this is the day-to-day operations after it you know the natural let's add an app let's add a server let's troubleshoot a problem so what so your life something changes how would he do so what's the big concerns I want to just get back to this cloud native networking because everyone kind of knows with cloud native apps are that's been a hot trend what is cloud native networking how do you how do you guys define that because that seems to be the oddest part of the multi-cloud wave that's coming as cloud native networking well there's no you know official garner definition but I can create one on another spot it's do it I just want to leverage the cloud construct and a cloud epi I don't want to have to install like like for example the first version was let's put a virtual router that doesn't even understand and then the cloud environment right if I have if I have to install a virtual machine it has to be cloud aware it has to understand the security group if it's a router it has to be programmable to the cloud API and and understand the cloud environment you know one things I hear a lot from either see Saussure CIOs or CXOs in general is this idea of I'm definitely on going API so it's been an API economy so API is key on that point but then they say okay I need to essentially have the right relationship with my suppliers aka clouds you call it above the clouds so the question is what do i do from an architecture standpoint do I just hire more developers and have different teams because you mentioned that's a scale point how do you solve this this problem of okay I got AWS I got GCP or Azure or whatever do I just have different teams or just expose api's where is that optimization where's the focus well I take what you need from an android point of view is a way a control plane across the three clouds and be able to use the api of the cloud to build networks but also to troubleshoot them and do they to operation so you need a view across a three cloud that takes care of routing connectivity that's you know that's the aviatrix plug of you right there so so how do you see so again your Gartner you you you you see the industry you've been a network architect how do you see this this plane out what are the what are the legacy incumbent client-server on-prem networking people gonna do well these versus people like aviatrix well how do you see that plane out well obviously all the incumbent like Arista cisco juniper NSX right they want to basically do the lift and ship or they want to bring and you know VM I want to bring in a section that cloud they call that NSX everywhere and cisco monks bring you star in the cloud recall that each guy anywhere right so everyone what and and then there's cloud vision for my red star and contrail is in the cloud so they just want to bring the management plain in the cloud but it's still based most of them it's still based on putting a VM them in controlling them right you you extend your management console to the cloud that's not truly cloud native right cloud native you almost have to build it from scratch we like to call that cloud naive clown that close one letter yeah so that was a big con surgeon i reinvent take the tea out of cloud native its cloud naive i went super viral you guys got t-shirts now i know you love it but yeah but that really ultimately is kind of a double-edged sword you got to be you can be naive on the on the architecture side and rolling out but also suppliers are can be naive so how would you define who's naive and who's not well in fact they're evolving as well so for example in cisco you it's a little bit more native than other ones because they're really ACI in the cloud you call you you really like configure api so the cloud and nsx is going that way and so is Arista but they're incumbent they have their own tools it's difficult for them they're moving slowly so it's much easier to start from scratch Avenue like and you know and network happiness started a few years ago there's only really two aviatrix was the first one they've been there for at least three or four years and there's other ones like Al Kyra for example that just started now that doing more connectivity but they want to create an overlay network across the cloud and start doing policies and trying abstracting all the clouds within one platform so I gotta ask you I interviewed an executive at VMware Sanjay Pune and he said to me at RSA last week oh the only b2 networking vendors left Cisco and VMware what's your respect what's your response to that obviously I mean when you have these waves as new brands that emerge like AV X and others though I think there'll be a lot of startups coming out of the woodwork how do you respond to that comment well there's still a data center there's still like a lot of action on campus and there's the one but from the cloud provisioning and clown networking in general I mean they're behind I think you know in fact you don't even need them to start to it you can if you're small enough you can just keep if you're in AWS you can user it with us construct they have to insert themselves I mean they're running behind they're all certainly incumbents I love the term Andy Jesse's that Amazon Web Services uses old guard new guard to talk about the industry what does the new guard have to do the new and new brands that emerge in is it be more DevOps oriented neck Nets a cops is that net ops is the programmability these are some of the key discussions we've been having what's your view on how you see this program their most important part is they have to make the network's simple for the dev teams and from you cannot have that you cannot make a phone call and get it via line in two weeks anymore so if you move to that cloud you have to make the cloud construct as simple enough so that for example a dev team could say okay I'm going to create this VP see but this VP see automatically being your associate to your account you cannot go out on the internet you have to go to the transit VP C so there's a lot of action in terms of the I am part and you have to put the control around them too so to make it as simple as possible you guys both I mean you're the COC aviatrix but also you guys a lot of experience going back to networking going back to I call the OSI mace which for us old folks know that means but you guys know this means I want to ask you the question as you look at the future of networking here a couple of objectives oh the cloud guys they got networking we're all set with them how do you respond to the fact that networking is changing and the cloud guys have their own networking what some of the pain points that's going on premises and these enterprises so are they good with the clouds what needs what are the key things that's going on in networking that makes it more than just the cloud networking what's your take on well I as I said earlier that once you you could easily provision in the cloud you can easily connect to that cloud is when you start troubleshooting application in the cloud and try to scale so this that's where the problem occurs see what you're taking on it and you'll hear from the from the customers that that we have on stage and I think what happens is all the cloud the clouds by definition designed to the 80/20 rule which means they'll design 80% of the basic functionality and they'll lead the 20% extra functionality that of course every enterprise needs they'll leave that to ISVs like aviatrix because why because they have to make money they have a service and they can't have huge instances for functionality that not everybody needs so they have to design to the common and that's they all do it right they have to and then the extra the problem is that can be an explosion that I talked about with enterprises that's holy that's what they need that they're the ones who need that extra 20% so that's that's what I see is is there's always gonna be that extra functionality the in in an automated and simple way that you talked about but yet powerful with up with the visibility and control that they expect of on prep that that's that kind of combination that yin and the yang that people like us are providing some I want to ask you were gonna ask some of the cloud architect customer panels it's the same question this pioneers doing some work here and there's also the laggards who come in behind the early adopters what's gonna be the tipping point what are some of those conversations that the cloud architects are having out there or what's the signs that they need to be on this multi cloud or cloud native networking trend what are some the signals that are going on in their environment what are some of the threshold or things that are going on that there can pay attention to well well once they have application and multiple cloud and they have they get wake up at 2:00 in the morning to troubleshoot them they don't know it's important so I think that's the that's where the robber will hit the road but as I said it's easier to prove it it's okay it's 80s it's easy user transit gateway put a few V pcs and you're done and use create some presents like equinox and do Direct Connect and Express route with Azure that looks simple is the operations that's when they'll realize okay now I need to understand our car networking works I also need a tool that give me visibility and control not button tell me that I need to understand the basic underneath it as well what are some of the day in the life scenarios that you envision happening with multi cloud because you think about what's happening it kind of has that same vibe of interoperability choice multi-vendor because you have multi clouds essentially multi vendor these are kind of old paradigms that we've lived through the client-server and internet working wave what are some of those scenarios of success and that might be possible it would be possible with multi cloud and cloud native networking well I think once you have good enough visibility to satisfy your customers you know not only like to keep the service running an application running but to be able to provision fast enough I think that's what you want to achieve small final question advice for folks watching on the live stream if they're sitting there as a cloud architect or a CXO what's your advice to them right now in this market because honestly public check hybrid cloud they're working on that that gets on-premise is done now multi-class right behind it what's your advice the first thing they should do is really try to understand cloud networking for each of their cloud providers and then understand the limitation and is what their cloud service provider offers enough or you need to look to a third party but you don't look at a third party to start to it especially an incumbent one so it's tempting to say on and I have a bunch of f5 experts nothing against f5 I'm going to bring my five in the cloud when you can use a needle be that automatically understand ease ease and auto-scaling and so on and you understand that's much simpler but sometimes you need you have five because you have requirements you have like AI rules and that kind of stuff that you use for years you cannot do it's okay I have requirement and that net I'm going to use legacy stuff and then you have to start thinking okay what about visibility control about the tree cloud but before you do that you have to understand the limitation of the existing cloud providers so first try to be as native as possible until things don't work after that you can start taking multi-cloud great insight somewhat thank you for coming someone in charge with Gardner thanks for sharing thank you appreciate it [Applause] informatica is known as the leading enterprise cloud data management company we are known for being the top in our industry in at least five different products over the last few years especially we've been transforming into a cloud model which allows us to work better with the trends of our customers in order to see agile and effective in a business you need to make sure that your products and your offerings are just as relevant in all these different clouds than what you're used to and what you're comfortable with one of the most difficult challenges we've always had is that because we're a data company we're talking about data that a customer owns some of that data may be in the cloud some of that data may be on Prem some of them data may be actually in their data center in another region or even another country and having that data connect back to our systems that are located in the cloud has always been a challenge when we first started our engagement with aviatrix we only had one plan that was Amazon it wasn't till later that a jerk came up and all of a sudden we found hey the solution we already had in place for aviatrix already working in Amazon and now works in Missouri as well before we knew it GCP came up but it really wasn't a big deal for us because we already had the same solution in Amazon and integer now just working in GCP by having a multi cloud approach we have access to all three of them but more commonly it's not just one it's actually integrations between multiple we have some data and ensure that we want to integrate with Amazon we have some data in GCP that we want to bring over to a data Lake assure one of the nice things about aviatrix is that it gives a very simple interface that my staff can understand and use and manage literally hundreds of VPNs around the world and while talking to and working with our customers who are literally around the world now that we've been using aviatrix for a couple years we're actually finding that even problems that we didn't realize we had were actually solved even before we came across the problem and it just worked cloud companies as a whole are based on reputation we need to be able to protect our reputation and part of that reputation is being able to protect our customers and being able to protect more importantly our customers data aviatrix has been helpful for us in that we only have one system that can manage this whole huge system in a simple easy direct model aviatrix is directly responsible for helping us secure and manage our customers not only across the world but across multiple clouds users don't have to be VPN or networking experts in order to be able to use the system all the members on my team can manage it all the members regardless of their experience can do different levels of it one of the unexpected two advantages of aviatrix is that I don't have to sell it to my management the fact that we're not in the news at three o'clock in the morning or that we don't have to get calls in the middle of the night no news is good news especially in networking things that used to take weeks to build are done in hours I think the most important thing about a matrix is it provides me consistency aviatrix gives me a consistent model that I can use across multiple regions multiple clouds multiple customers okay welcome back to altitude 2020 for the folks on the livestream I'm John for Steve Mulaney with CEO of aviatrix for our first of two customer panels on cloud with cloud network architects we got Bobby Willoughby they gone Luis Castillo of National Instruments and David should Nick with fact set guys welcome to the stage for this digital event come on up [Music] hey good to see you thank you okay okay customer panelist is my favorite part we get to hear the real scoop we got the gardener giving us the industry overview certainly multi clouds very relevant and cloud native networking is the hot trend with the live stream out there and the digital event so guys let's get into it the journey is you guys are pioneering this journey of multi cloud and cloud native networking and it's soon gonna be a lot more coming so I want to get into the journey what's it been like is it real you got a lot of scar tissue and what are some of the learnings yeah absolutely so multi cloud is whether or not we we accepted as a network engineers is a is a reality like Steve said about two years ago companies really decided to to just to just bite the bullet and and and move there whether or not whether or not we we accept that fact we need to now create a consistent architecture across across multiple clouds and that that is challenging without orchestration layers as you start managing different different tool sets in different languages across different clouds so that's it's really important that to start thinking about that guys on the other panelists here there's different phases of this journey some come at it from a networking perspective some come in from a problem troubleshooting what's what's your experiences yeah so from a networking perspective it's been incredibly exciting it's kind of a once-in-a-generation 'el opportunity to look at how you're building out your network you can start to embrace things like infrastructure as code that maybe your peers on the systems teams have been doing for years but it just never really worked on pram so it's really it's really exciting to look at all the opportunities that we have and then all the interesting challenges that come up that you that you get to tackle an effect said you guys are mostly AWS right yep right now though we are looking at multiple clouds we have production workloads running in multiple clouds today but a lot of the initial work has been with Amazon and you've seen it from a networking perspective that's where you guys are coming at it from yep yeah we evolved more from a customer requirement perspective started out primarily as AWS but as the customer needed more resources to measure like HPC you know as your ad things like that even recently Google at Google Analytics our journey has evolved into mortal multi-cloud environment Steve weigh in on the architecture because this has been the big conversation I want you to lead this second yeah so I mean I think you guys agree the journey you know it seems like the journey started a couple years ago got real serious the need for multi-cloud whether you're there today of course it's gonna be there in the future so that's really important I think the next thing is just architecture I'd love to hear what you you know had some comments about architecture matters it all starts I mean every Enterprise that I talk to maybe talk about architecture and the importance of architecture maybe Bobby it's a particular perspective we sorted a journey five years ago Wow okay and we're just now starting our fourth evolution of our network architect and we'll call it networking security net sec yep adverse adjusters network and that fourth generation or architectures be based primarily upon Palo Alto Networks an aviatrix a matrix doing the orchestration piece of it but that journey came because of the need for simplicity okay I need for multi-cloud orchestration without us having to go and do reprogramming efforts across every cloud as it comes along right I guess the other question I also had around architectures also Louis maybe just talk about I know we've talked a little bit about you know scripting right and some of your thoughts on that yeah absolutely so so for us we started we started creating the network constructs with cloud formation and we've we've stuck with that for the most part what's interesting about that is today on premise we have a lot of a lot of automation around around how we provision networks but cloud formation has become a little bit like the new manual for us so we're now having issues with having to to automate that component and making it consistent with our on-premise architecture making it consistent with Azure architecture and Google cloud so it's really interesting to see to see companies now bring that layer of abstraction that SD when brought to the to the wine side now it's going up into into the into the cloud networking architecture so on the fourth generation of you mentioned you're in the fourth gen architecture what do you guys what have you learned is there any lessons scar tissue what to avoid what worked what was some of the there was a path that's probably the biggest list and there is when you think you finally figured it out you have it right Amazon will change something as you change something you know transit gateways a game changer so in listening to the business requirements is probably the biggest thing we need to do up front but I think from a simplicity perspective like I said we don't want to do things four times we want to do things one time we won't be able to write to an API which aviatrix has and have them do the orchestration for us so that we don't have to do it four times how important is architecture in the progression is it you guys get thrown in the deep end to solve these problems or you guys zooming out and looking at it it's a I mean how are you guys looking at the architecture I mean you can't get off the ground if you don't have the network there so all of those there we've gone through similar evolutions we're on our fourth or fifth evolution I think about what we started off with Amazon without a direct connect gate without a transit Gateway without a lot of the things that are available today kind of the 80/20 that Steve was talking about just because it wasn't there doesn't mean we didn't need it so we needed to figure out a way to do it we couldn't say oh you need to come back to the network team in a year and maybe Amazon will have a solution for it right you need to do it now and in evolve later and maybe optimize or change the way you're doing things in the future but don't sit around and wait you can I'd love to have you guys each individually answer this question for the live stream because it comes up a lot a lot of cloud architects out in the community what should they be thinking about the folks that are coming into this proactively and/or realizing the business benefits are there what advice would you guys give them an architecture what should be they be thinking about and what are some guiding principles you could share so I would start with looking at an architecture model that that can that can spread and and give consistency they're different to different cloud vendors that you will absolutely have to support cloud vendors tend to want to pull you into using their native toolset and that's good if only it was realistic to talk about only one cloud but because it doesn't it's it's it's super important to talk about and have a conversation with the business and with your technology teams about a consistent model so that's the David yeah talking as earlier about day two operations so how do I design how do I do my day one work so that I'm not you know spending eighty percent of my time troubleshooting or managing my network because I'm doing that then I'm missing out on ways that I can make improvements or embrace new technologies so it's really important early on to figure out how do I make this as low maintenance as possible so that I can focus on the things that the team really should be focusing on Bobby your advice the architect I don't know what else I can do that simplicity of operations is key alright so the holistic view of day to operation you mentioned let's can jump in day one is your your your getting stuff set up day two is your life after all right this is kinda what you're getting at David so what does that look like what are you envisioning as you look at that 20 mile stair out post multi-cloud world what are some of the things that you want in a day to operations yeah infrastructure is code is really important to us so how do we how do we design it so that we can fit start making network changes and fitting them into like a release pipeline and start looking at it like that rather than somebody logging into a router CLI and troubleshooting things on in an ad hoc nature so moving more towards the DevOps model is anything on that day - yeah I would love to add something so in terms of day 2 operations you can you can either sort of ignore the day 2 operations for a little while where you get well you get your feet wet or you can start approaching it from the beginning the fact is that the the cloud native tools don't have a lot of maturity in that space and when you run into an issue you're gonna end up having a bad day going through millions and millions of logs just to try to understand what's going on so that's something that that the industry just now is beginning to realize it's it's such a such a big gap I think that's key because for us we're moving to more of an event-driven or operations in the past monitoring got the job done it's impossible to modern monitor something there's nothing there when the event happens all right so the event-driven application and then detect is important yeah I think garden was all about the cloud native wave coming into networking that's gonna be a serious thing I want to get you guys perspectives I know you have different views of how you come into the journey and how you're executing and I always say the beauties in the eye of the beholder and that kind of applies how the networks laid out so Bobby you guys do a lot of high-performance encryption both on AWS and Azure that's kind of a unique thing for you how are you seeing that impact with multi cloud yeah and that's a new requirement for us to where we we have an intern crypt and they they ever get the question should I encryption and I'll encrypt the answer is always yes you should encrypt when you can encrypt for our perspective we we need to migrate a bunch of data from our data centers we have some huge data centers and then getting that data to the cloud is the timely experiencing some cases so we have been mandated that we have to encrypt everything leaving the data center so we're looking at using the aviatrix insane mode appliances to be able to encrypt you know 10 20 gigabits of data as it moves to the cloud itself David you're using terraform you got fire Ned you've got a lot of complexity in your network what do you guys look at the future for yours environment yeah so something exciting that or yeah now is fire net so for our security team they obviously have a lot of a lot of knowledge base around Palo Alto and with our commitments to our clients you know it's it's it's not very easy to shift your security model to a specific cloud vendor right so there's a lot of stuck to compliance of things like that where being able to take some of what you've you know you've worked on for years on Bram and put it in the cloud and have the same type of assurance that things are gonna work and be secure in the same way that they are on prem helps make that journey into the cloud a lot easier and Louis you guys got scripting and get a lot of things going on what's your what's your unique angle on this yeah no absolutely so full disclosure I'm not a not not an aviatrix customer yet it's ok we want to hear the truth that's good Ellis what are you thinking about what's on your mind no really when you when you talk about implementing the tool like this it's really just really important to talk about automation and focus on on value so when you talk about things like and things like so yeah encrypting tunnels and encrypting the paths and those things are it should it should should be second nature really when you when you look at building those backends and managing them with your team it becomes really painful so tools like aviatrix that that add a lot of automation it's out of out of sight out of mind you can focus on the value and you don't have to focus on so I gotta ask you guys I see AV traces here they're they're a supplier to the sector but you guys are customers everyone's pitching you stuff people are not gonna buy my stuff how do you guys have that conversation with the suppliers like the cloud vendors and other folks what's the what's it like where API all the way you got to support this what are some of the what are some of your requirements how do you talk to and evaluate people that walk in and want to knock on your door and pitch you something what's the conversation like um it's definitely it's definitely API driven we we definitely look at the at that the API structure of the vendors provide before we select anything that that is always first in mind and also what a problem are we really trying to solve usually people try to sell or try to give us something that isn't really valuable like implementing a solution on the on the on the cloud isn't really it doesn't really add a lot of value that's where we go David what's your conversation like with suppliers you have a certain new way to do things as as becomes more agile and essentially the networking become more dynamic what are some of the conversation is with the either incumbents or new new vendors that you're having what it what do you require yeah so ease of use is definitely definitely high up there we've had some vendors come in and say you know hey you know when you go to set this up we're gonna want to send somebody on site and they're gonna sit with you for your day to configure it and that's kind of a red flag what wait a minute you know do we really if one of my really talented engineers can't figure it out on his own what's going on there and why is that so you know having having some ease-of-use and the team being comfortable with it and understanding it is really important Bobby how about you I mean the old days was do a bake-off and you know the winner takes all I mean is it like that anymore what's the Volvic bake-off last year first you win so but that's different now because now when you you get the product you can install the product in AWS energy or have it up and running a matter of minutes and so the key is is they can you be operational you know within hours or days instead of weeks but but do we also have the flexibility to customize it to meet your needs could you want to be you won't be put into a box with the other customers we have needs that surpass their cut their needs yeah I almost see the challenge that you guys are living where you've got the cloud immediate value to make an roll-up any solutions but then you have might have other needs so you've got to be careful not to buy into stuff that's not shipping so you're trying to be proactive at the same time deal with what you got I mean how do you guys see that evolving because multi-cloud to me is definitely relevant but it's not yet clear how to implement across how do you guys look at this baked versus you know future solutions coming how do you balance that so again so right now we we're we're taking the the ad hoc approach and and experimenting with the different concepts of cloud and really leveraging the the native constructs of each cloud but but there's a there's a breaking point for sure you don't you don't get to scale this I like like Simone said and you have to focus on being able to deliver a developer they're their sandbox or their play area for the for the things that they're trying to build quickly and the only way to do that is with the with with some sort of consistent orchestration layer that allows you to so you've got a lot more stuff to be coming pretty quickly IDEs area I do expect things to start to start maturing quite quite quickly this year and you guys see similar trend new stuff coming fast yeah part of the biggest challenge we've got now is being able to segment within the network being able to provide segmentation between production on production workloads even businesses because we support many businesses worldwide and and isolation between those is a key criteria there so the ability to identify and quickly isolate those workloads is key so the CIOs that are watching or that are saying hey take that he'll do multi cloud and then you know the bottoms up organization think pause you're kind of like off a little bit it's not how it works I mean what is the reality in terms of implementing you know and as fast as possible because the business benefits are clear but it's not always clear in the technology how to move that fast yeah what are some of the barriers one of the blockers what are the enabler I think the reality is is that you may not think you're multi-cloud but your business is right so I think the biggest barriers there is understanding what the requirements are and how best to meet those requirements in a secure manner because you need to make sure that things are working from a latency perspective that things work the way they did and get out of the mind shift that you know it was a cheery application in the data center it doesn't have to be a Tier three application in the cloud so lift and shift is is not the way to go scale is a big part of what I see is the competitive advantage to allow these clouds and used to be proprietary network stacks in the old days and then open systems came that was a good thing but as clouds become bigger there's kind of an inherent lock in there with the scale how do you guys keep the choice open how're you guys thinking about interoperability what are some of the conversations and you guys are having around those key concepts well when we look at when we look at the moment from a networking perspective it it's really key for you to just enable enable all the all the clouds to be to be able to communicate between them developers will will find a way to use the cloud that best suits their their business team and and like like you said it's whether whether you're in denial or not of the multi cloud fact that your company is in already that's it becomes really important for you to move quickly yeah and a lot of it also hinges on how well is the provider embracing what that specific cloud is doing so are they are they swimming with Amazon or sure and just helping facilitate things they're doing the you know the heavy lifting API work for you or they swimming upstream and they're trying to hack it all together in a messy way and so that helps you you know stay out of the lock-in because they're you know if they're doing if they're using Amazon native tools to help you get where you need to be it's not like Amazon's gonna release something in the future that completely you know makes you have designed yourself into a corner so the closer they're more cloud native they are the more the easier it is to to deploy but you also need to be aligned in such a way that you can take advantage of those cloud native technologies will it make sense tgw is a game-changer in terms of cost and performance right so to completely ignore that would be wrong but you know if you needed to have encryption you know teach Adobe's not encrypted so you need to have some type of a gateway to do the VPN encryption you know so the aviatrix tool give you the beauty of both worlds you can use tgw with a gateway Wow real quick in the last minute we have I want to just get a quick feedback from you guys I hear a lot of people say to me hey the I picked the best cloud for the workload you got and then figure out multi cloud behind the scenes so that seems to be do you guys agree with that I mean is it do I go Mull one cloud across the whole company or this workload works great on AWS that work was great on this from a cloud standpoint do you agree with that premise and then wit is multi clouds did you mall together yeah from from an application perspective it it can be per workload but it can also be an economical decision certain enterprise contracts will will pull you in one direction that add value but the the network problem is still the same doesn't go away yeah yeah I mean you don't want to be trying to fit a square into a round hall right so if it works better on that cloud provider then it's our job to make sure that that service is there and people can use it agree you just need to stay ahead of the game make sure that the network infrastructure is there secure is available and is multi cloud capable yeah I'm at the end of the day you guys just validating that it's the networking game now how cloud storage compute check networking is where the action is awesome thanks for your insights guys appreciate you coming on the panel appreciate thanks thank you [Applause] [Music] [Applause] okay welcome back on the live feed I'm John fritz T Blaney my co-host with aviatrix I'm with the cube for the special digital event our next customer panel got great another set of cloud network architects Justin Smith was aura Justin broadly with Ellie Mae and Amit Oh tree job with Cooper welcome to stage [Applause] all right thank you thank you oK you've got all the cliff notes from the last session welcome rinse and repeat yeah yeah we're going to go under the hood a little bit I think they nailed the what we've been reporting and we've been having this conversation around networking is where the action is because that's the end of the day you got a move a pack from A to B and you get workloads exchanging data so it's really killer so let's get started Amit what are you seeing as the journey of multi cloud as you go under the hood and say okay I got to implement this I have to engineer the network make it enabling make it programmable make it interoperable across clouds I mean that's like I mean almost sounds impossible to me what's your take yeah I mean it's it seems impossible but if you are running an organization which is running infrastructure as a cordon all right it is easily doable like you can use tools out there that's available today you can use third-party products that can do a better job but but put your architecture first don't wait architecture may not be perfect put the best architecture that's available today and be agile to ET rate and make improvements over the time we got to Justin's over here so I have to be careful when I point a question adjusting they both have to answer okay journeys what's the journey been like I mean is there phases we heard that from Gardner people come into multi cloud and cloud native networking from different perspectives what's your take on the journey Justin yeah I mean from Mars like - we started out very much focused on one cloud and as we started doing errands we started doing new products the market the need for multi cloud comes very apparent very quickly for us and so you know having an architecture that we can plug in play into and be able to add and change things as it changes is super important for what we're doing in the space just in your journey yes for us we were very ad hoc oriented and the idea is that we were reinventing all the time trying to move into these new things and coming up with great new ideas and so rather than it being some iterative approach with our deployments that became a number of different deployments and so we shifted that tour and the network has been a real enabler of this is that it there's one network and it touches whatever cloud we want it to touch and it touches the data centers that we need it to touch and it touches the customers that we need it to touch our job is to make sure that the services that are of and one of those locations are available in all of the locations so the idea is not that we need to come up with this new solution every time it's that we're just iterating on what we've already decided to do before we get the architecture section I want to ask you guys a question I'm a big fan of you know let the app developers have infrastructure as code so check but having the right cloud run that workload I'm a big fan of that if it works great but we just heard from the other panel you can't change the network so I want to get your thoughts what is cloud native networking and is that the engine really that's the enabler for this multi cloud trend but you guys taken we'll start with Amit what do you think about that yeah so you are gonna have workloads running in different clouds and the workloads would have affinity to one cloud over other but how you expose that it's matter of how you are going to build your networks how we are going to run security how we are going to do egress ingress out of it so it's the big problem how do you split says what's the solution what's the end the key pain points and problem statement I mean the key pain point for most companies is how do you take your traditional on-premise network and then blow that out to the cloud in a way that makes sense you know IP conflicts you have IP space you pub public eye peas and premise as well as in the cloud and how do you kind of make them a sense of all of that and I think that's where tools like aviatrix make a lot of sense in that space from our site it's it's really simple it's latency and bandwidth and availability these don't change whether we're talking about cloud or data center or even corporate IT networking so our job when when these all of these things are simplified into like s3 for instance and our developers want to use those we have to be able to deliver that and for a particular group or another group that wants to use just just GCP resources these aren't we have to support these requirements and these wants as opposed to saying hey that's not a good idea now our job is to enable them not to disable them do you think you guys think infrastructure as code which I love that I think it's that's the future it is we saw that with DevOps but I just start getting the networking is it getting down to the network portion where it's network as code because storage and compute working really well is seeing all kubernetes on ServiceMaster and network is code reality is it there is it still got work to do it's absolutely there I mean you mentioned net DevOps and it's it's very real I mean in Cooper we build our networks through terraform and on not only just out of fun build an API so that we can consistently build V nets and VPC all across in the same way we get to do it yeah and even security groups and then on top and aviatrix comes in we can peer the networks bridge bridge all the different regions through code same with you guys but yeah about this everything we deploy is done with automation and then we also run things like lambda on top to make changes in real time we don't make manual changes on our network in the data center funny enough it's still manual but the cloud has enabled us to move into this automation mindset and and all my guys that's what they focus on is bringing what now what they're doing in the cloud into the data center which is kind of opposite of what it should be that's full or what it used to be it's full DevOps then yes yeah I mean for us it was similar on premise still somewhat very manual although we're moving more Norton ninja and terraform concepts but everything in the production environment is colored confirmation terraform code and now coming into the datacenter same I just wanted to jump in on a Justin Smith one of the comment that you made because it's something that we always talk about a lot is that the center of gravity of architecture used to be an on-prem and now it's shifted in the cloud and once you have your strategic architecture what you--what do you do you push that everywhere so what you used to see at the beginning of cloud was pushing the architecture on prem into cloud now i want to pick up on what you said to you others agree that the center of architect of gravity is here i'm now pushing what i do in the cloud back into on Prem and wait and then so first that and then also in the journey where are you at from zero to a hundred of actually in the journey to cloud do you 50% there are you 10% yes I mean are you evacuating data centers next year I mean were you guys at yeah so there's there's two types of gravity that you typically are dealing with no migration first is data gravity and your data set and where that data lives and then the second is the network platform that interrupts all that together right in our case the data gravity sold mostly on Prem but our network is now extend out to the app tier that's going to be in cloud right eventually that data gravity will also move to cloud as we start getting more sophisticated but you know in our journey we're about halfway there about halfway through the process we're taking a handle of you know lift and shift and when did that start and we started about three years ago okay okay go by it's a very different story it started from a garage and one hundred percent on the clock it's a business spend management platform as a software-as-a-service one hundred percent on the cloud it was like ten years ago right yes yeah you guys are riding the wave love that architecture Justin I want to ask you Sora you guys mentioned DevOps I mean obviously we saw the huge observability wave which is essentially network management for the cloud in my opinion right yeah it's more dynamic but this is about visibility we heard from the last panel you don't know what's being turned on or turned off from a services standpoint at any given time how is all this playing out when you start getting into the DevOps down well this layer this is the big challenge for all of us as visibility when you talk transport within a cloud you know we very interestingly we have moved from having a backbone that we bought that we owned that would be data center connectivity we now I work for soar as a subscription billing company so we want to support the subscription mindset so rather than going and buying circuits and having to wait three months to install and then coming up with some way to get things connected and resiliency and redundancy I my backbone is in the cloud I use the cloud providers interconnections between regions to transport data across and and so if you do that with their native solutions you you do lose visibility there there are areas in that that you don't get which is why controlling you know controllers and having some type of management plane is a requirement for us to do what we're supposed to do and provide consistency while doing it a great conversation I loved when you said earlier latency bandwidth availability with your sim pop3 things guys SLA I mean you just do ping times are between clouds it's like you don't know what you're getting for round-trip times this becomes a huge kind of risk management black hole whatever you want to call blind spot how are you guys looking at the interconnects between clouds because you know I can see that working from you know ground to cloud I'm per cloud but when you start doing with multi clouds workloads I mean s LA's will be all over the map won't they just inherently but how do you guys view that yeah I think we talked about workload and we know that the workloads are going to be different in different clouds but they are going to be calling each other so it's very important to have that visibility that you can see how data is flowing at what latency and whatever ability is our is there and our authority needs to operate on that so it's so you use the software dashboard look at the times and look at the latency in the old days strong so on open so on you try to figure it out and then your days you have to figure out just what she reinsert that because you're in the middle of it yeah I mean I think the the key thing there is that we have to plan for that failure we have to plan for that latency in our applications that start thinking start tracking in your SLI something you start planning for and you loosely couple these services and a much more micro services approach so you actually can handle that kind of failure or that type of unknown latency and unfortunately the cloud has made us much better at handling exceptions a much better way you guys are all great examples of cloud native from day one and you guys had when did you have the tipping point moment or the Epiphany of saying a multi clouds real I can't ignore it I got to factor it into all my design design principles and and everything you're doing what's it was there a moment was it was it from day one no there were two reasons one was the business so in business there was some affinity to not be in one cloud or to be in one cloud and that drove from the business side so as a cloud architect our responsibility was to support that business and other is the technology some things are really running better in like if you are running dot Network load or you are going to run machine learning or AI so that you have you would have that reference of one cloud over other so it was the bill that we got from AWS I mean that's that's what drives a lot of these conversations is the financial viability of what you're building on top of it which is so we this failure domain idea which is which is fairly interesting is how do I solve or guarantee against a failure domain you have methodologies with you know back-end direct connects or interconnect with GCP all of these ideas are something that you have to take into account but that transport layer should not matter to whoever we're building this for our job is to deliver the frames in the packets what that flows across how you get there we want to make that seamless and so whether it's a public internet API call or it's a back-end connectivity through Direct Connect it doesn't matter it just has to meet a contract that you signed with your application folks yeah that's the availability piece just in your thoughts on anything any common uh so actually a multi clouds become something much more recent in the last six to eight months I'd say we always kind of had a very much an attitude of like moving to Amazon from our private cloud is hard enough why complicate it further but the realities of the business and as we start seeing you know improvements in Google and Asia and different technology spaces the need for multi cloud becomes much more important as well as our acquisition strategies I matured we're seeing that companies that used to be on premise that we typically acquire are now very much already on a cloud and if they're on a cloud I need to plug them into our ecosystem and so that's really change our multi cloud story in a big way I'd love to get your thoughts on the clouds versus the clouds because you know you compare them Amazon's got more features they're rich with features I see the bills are how could people using them but Google's got a great network Google's networks pretty damn good and then you got a sure what's the difference between the clouds who with they've evolved something whether they peak in certain areas better than others what what are the characteristics which makes one cloud better do they have a unique feature that makes as you're better than Google and vice versa what do you guys think about the different clouds yeah to my experience I think there is approaches different in many places Google has a different approach very DevOps friendly and you can run your workload like the your network and spend regions time I mean but our application ready to accept that MS one is evolving I mean I remember 10 years back Amazon's Network was a flat network we will be launching servers and 10.0.0.0 so the VP sees concept came out multi-account came out so they are evolving as you are at a late start but because they have a late start they saw the pattern and they they have some mature set up on the yeah I think they're all trying to say they're equal in their own ways I think they all have very specific design philosophies that allow them to be successful in different ways and you have to kind of keep that in mind as you architectural solution for example amazon has a very much a very regional affinity they don't like to go cross region in their architecture whereas Google is very much it's a global network we're gonna think about as a global solution I think Google also has advantages its third to market and so has seen what Asia did wrong it seemed with AWS did wrong and it's made those improvements and I think that's one of their big advantage at great scale to Justin thoughts on the cloud so yeah Amazon built from the system up and Google built from the network down so their ideas and approaches are from a global versus or regional I agree with you completely that that is the big number one thing but the if you look at it from the outset interestingly the inability or the ability for Amazon to limit layer 2 broadcasting and and what that really means from a VPC perspective changed all the routing protocols you can use all the things that we have built inside of a data center to provide resiliency and and and make things seamless to users all of that disappeared and so because we had to accept that at the VPC level now we have to accept it at the LAN level Google's done a better job of being able to overcome those things and provide those traditional Network facilities to us just great panel can go all day here's awesome so I heard we could we'll get to the cloud native naive questions so kind of think about what's not even what's cloud is that next but I got to ask you had a conversation with a friend he's like Wayne is the new land so if you think about what the land was at a datacenter when is the new link you could talking about the cloud impact so that means st when the old st way is kind of changing into the new land how do you guys look at that because if you think about it what lands were for inside a premises was all about networking high-speed but now when you take the win and make it essentially a land do you agree with that and how do you view this trend and is it good or bad or is it ugly and what's what you guys take on this yeah I think it's a it's a thing that you have to work with your application architect so if you are managing networks and if you are a sorry engineer you need to work with them to expose the unreliability that would bring in so the application has to hand a lot of this the difference in the latencies and and the reliability has to be worked through the application there Lanois same concept is that BS I think we've been talking about for a long time the erosion of the edge and so is this is just a continuation of that journey we've been on for the last several years as we get more and more cloud native and we start about API is the ability to lock my data in place and not be able to access it really goes away and so I think this is just continuation that thing I think it has challenges we start talking about weighing scale versus land scale the tooling doesn't work the same the scale of that tooling is much larger and the need to automation is much much higher in a way and than it was in a land that's where is what you're seeing so much infrastructure as code yeah yes so for me I'll go back again to this its bandwidth and its latency right that bet define those two land versus win but the other thing that's comes up more and more with cloud deployments is where is our security boundary and where can I extend this secure aware appliance or set of rules to to protect what's inside of it so for us we're able to deliver vr af-s or route forwarding tables for different segments wherever we're at in the world and so they're they're trusted to talk to each other but if they're gonna go to someplace that's outside of their their network then they have to cross a security boundary and where we enforce policy very heavily so for me there's it's not just land when it's it's how does environment get to environment more importantly that's a great point and security we haven't talked to yet but that's got to be baked in from the beginning this architecture thoughts on security are you guys are dealing with it yeah start from the base have apt to have security built in have TLS have encryption on the data I transit data at rest but as you bring the application to the cloud and they are going to go multi-cloud talking to over the Internet in some places well have apt web security I mean I mean our principles day Security's day zero every day and so we we always build it into our design build into our architecture into our applications it's encrypt everything it's TLS everywhere it's make sure that that data is secured at all times yeah one of the cool trends at RSA just as a side note was the data in use encryption piece which is a homomorphic stuff is interesting all right guys final question you know we heard on the earlier panel was also trending at reinvent we take the tea out of cloud native it spells cloud naive okay they got shirts now aviatrix kind of got this trend going what does that mean to be naive so if you're to your peers out there watching a live stream and also the suppliers that are trying to supply you guys with technology and services what's naive look like and what's native look like when is someone naive about implementing all this stuff so for me it's because we are in hundred-percent cloud for us it's main thing is ready for the change and you will you will find new building blocks coming in and the network design will evolve and change so don't be naive and think that it's static you wall with the change I think the big naivety that people have is that well I've been doing it this way for 20 years and been successful it's going to be successful in cloud the reality is that's not the case you have to think some of the stuff a little bit differently and you need to think about it early enough so that you can become cloud native and really enable your business on cloud yeah for me it's it's being open minded right the the our industry the network industry as a whole has been very much I am smarter than everybody else and we're gonna tell everybody how it's going to be done and we had we fell into a lull when it came to producing infrastructure and and and so embracing this idea that we can deploy a new solution or a new environment in minutes as opposed to hours or weeks or four months in some cases is really important and and so you know it's are you being closed-minded native being open minded exactly and and it took a for me it was that was a transformative kind of where I was looking to solve problems in a cloud way as opposed to looking to solve problems in this traditional old-school way all right I know we're out of time but I ask one more question so you guys so good it could be a quick answer what's the BS language when you the BS meter goes off when people talk to you about solutions what's the kind of jargon that you hear that's the BS meter going off what are people talking about that in your opinion you here you go that's total BS but what triggers use it so that I have two lines out of movies that are really I can if I say them without actually thinking them it's like 1.21 jigowatts are you out of your mind from Back to the Future right somebody's getting a bang and then and then Martin Mull and and Michael Keaton and mr. mom when he goes to 22 21 whatever it takes yeah those two right there if those go off in my mind somebody's talking to me I know they're full of baloney so a lot of speech would be a lot of speeds and feeds a lot of data did it instead of talking about what you're actually doing and solutioning for you're talking about well I does this this this and any time I start seeing the cloud vendor start benchmarking against each other it's your workload is your workload you need to benchmark yourself don't don't listen to the marketing on that that's that's all what triggers you and the bsp I think if somebody explains you and not simple they cannot explain you in simplicity then that's good all right guys thanks for the great insight great time how about a round of applause DX easy solutions integrating company than we service customers from all industry verticals and we're helping them to move to the digital world so as a solutions integrator we interface with many many customers that have many different types of needs and they're on their IT journey to modernize their applications into the cloud so we encounter many different scenarios many different reasons for those migrations all of them seeking to optimize their IT solutions to better enable their business we have our CPS organization it's cloud platform services we support AWS does your Google Alibaba corkle will help move those workloads to wherever it's most appropriate no one buys the house for the plumbing equally no one buys the solution for the networking but if the plumbing doesn't work no one likes the house and if this network doesn't work no one likes a solution so network is ubiquitous it is a key component of every solution we do the network connectivity is the lifeblood of any architecture without network connectivity nothing works properly planning and building a scalable robust network that's gonna be able to adapt with the application needs critical when encountering some network design and talking about speed the deployment aviatrix came up in discussion and we then further pursued an area DHT products have incorporated aviatrix is part of a new offering that we are in the process of developing that really enhances our ability to provide cloud connectivity for the Lyons cloud connectivity is a new line of networking services so we're getting into as our clients moving the hybrid cloud networking it is much different than our traditional based services and aviatrix provides a key component in that service before we found aviatrix we were using just native peering connections but there wasn't a way to visualize all those peering connections and with multiple accounts multiple contacts for security with a VA Church were able to visualize those different peering connections of security groups it helped a lot especially in areas of early deployment scenarios were quickly able to then take those deployment scenarios and turn them into scripts that we can then deploy repeatedly their solutions were designed to work with the cloud native capabilities first and where those cloud native capabilities fall short they then have solution sets that augment those capabilities I was pleasantly surprised number one with the aviatrix team as a whole and their level of engagement with us you know we weren't only buying the product we were buying a team that came on board to help us implement and solution that was really good to work together to learn both what aviatrix had to offer as well as enhancements that we had to bring that aviatrix was able to put into their product and meet our needs even better aviatrix was a joy to find because they really provided us the technology that we needed in order to provide multi cloud connectivity that really added to the functionality that you can't get from the basically providing services we're taking our customers on a journey to simplify and optimize their IT maybe Atrix certainly has made my job much easier okay welcome back to altitude 2020 for the digital event for the live feed welcome back I'm John Ford with the cube with Steve Mulaney CEO aviatrix for the next panel from global system integrators the folks who are building and working with folks on their journey to multi cloud and cloud native networking we've got a great panel George Buckman with dxc and Derek Monahan with wwt welcome to the stage [Applause] [Music] okay you guys are the ones out there advising building and getting down and dirty with multi cloud and cloud native network and we just heard from the customer panel you can see the diversity of where people come in to the journey of cloud it kind of depends upon where you are but the trends are all clear cloud native networking DevOps up and down the stack this has been the main engine what's your guys take of the disk Jerry to multi cloud what do you guys seeing yeah it's it's critical I mean we're seeing all of our enterprise customers enter into this they've been through the migrations of the easy stuff you know now they're trying to optimize and get more improvement so now the tough stuffs coming on right and you know they need their data processing near where their data is so that's driving them to a multi cloud environment okay we heard some of the edge stuff I mean you guys are exactly you've seen this movie before but now it's a whole new ballgame what's your take yeah so I'll give you a hint so our practice it's not called the cloud practice it's the multi cloud practice and so if that gives you a hint of how we approach things it's very consultative and so when we look at what the trends are let's look a little year ago about a year ago we're having conversations with customers let's build a data center in the cloud let's put some VP C's let's throw some firewalls with some DNS and other infrastructure out there and let's hope it works this isn't a science project so what we're trying to see is customers are starting to have more of a vision and we're helping with that consultative nature but it's totally based on the business and you got to start understanding how the lines of business are using the and then we evolved into the next journey which is a foundational approach to what are some of the problem statement customers are solving when they come to you what are the top things that are on their my house or the ease of use of Julie all that stuff but what specifically they digging into yeah so complexity I think when you look at a multi cloud approach in my view is network requirements are complex you know I think they are but I think the approach can be let's simplify that so one thing that we try to do this is how we talk to customers is let's just like you simplify an aviatrix simplifies the automation orchestration of cloud networking we're trying to simplify the design the planning implementation of infrastructure across multiple workloads across multiple platforms and so the way we do it is we sit down we look at not just use cases and not just the questions in common we tis anticipate we actually build out based on the business and function requirements we build out a strategy and then create a set of documents and guess what we actually build in the lab and that lab that we platform we built proves out this reference architecture actually works absolutely we implement similar concepts I mean we they're proven practices they work great so well George you mentioned that the hard part's now upon us are you referring to networking what is specifically were you getting at Terrance's the easy parts done now so for the enterprises themselves migrating their more critical apps or more difficult apps into the environments you know they've just we've just scratched the surface I believe on what enterprises are doing to move into the cloud to optimize their environments to take advantage of the scale and speed to deployment and to be able to better enable their businesses so they're just now really starting the - so do you get you guys see what I talked about them in terms of their Cambrian explosion I mean you're both monster system integrators with you know top fortune enterprise customers you know really rely on you for for guidance and consulting and so forth and boy they're networks is that something that you you've seen I mean does that resonate did you notice a year and a half ago and all of a sudden the importance of cloud for enterprise shoot up yeah I mean we're seeing it not okay in our internal environment as you know we're a huge company or as customers so we're experiencing that internal okay and every one of our other customers so I have another question oh but I don't know the answer to this and the lawyer never asks a question that you don't know the answer to but I'm gonna ask it anyway DX c + w WT massive system integrators why aviatrix yep so great question Steve so I think the way we approach things I think we have a similar vision a similar strategy how you approach things how we approach things that world by technology number one we want to simplify the complexity and so that's your number one priorities let's take the networking let's simplify it and I think part of the other point I'm making is we have we see this automation piece as not just an afterthought anymore if you look at what customers care about visibility and automation is probably the top three maybe the third on the list and I think that's where we see the value and I think the partnership that we're building and what I would I get excited about is not just putting yours in our lab and showing customers how it works is Co developing a solution with you figuring out hey how can we make this better right visibility's a huge thing jump in security alone network everything's around visibility what automation do you see happening in terms of progression order of operations if you will it's a low-hanging fruit what are people working on now what are what are some of the aspirational goals around when you start thinking about multi cloud and automation yep so I wanted to get back to answer that question I want to answer your question you know what led us there and why aviatrix you know in working some large internal IT projects and and looking at how we were gonna integrate those solutions you know we like to build everything with recipes where network is probably playing catch-up in the DevOps world but with a DevOps mindset looking to speed to deploy support all those things so when you start building your recipes you take a little of this a little of that and you mix it all together well when you look around you say wow look there's this big bag of a VHS let me plop that in that solves a big part of my problems that I have to speed to integrate speed to deploy and the operational views that I need to run this so that was 11 years about reference architectures yeah absolutely so you know they came with a full slate of reference textures already the out there and ready to go that fit our needs so it's very very easy for us to integrate those into our recipes what do you guys think about all the multi vendor interoperability conversations that have been going on choice has been a big part of multi-cloud in terms of you know customers want choice they didn't you know they'll put a workload in the cloud that works but this notion of choice and interoperability is become a big conversation it is and I think our approach and that's why we talk to customers is let's let's speed and be risk of that decision making process and how do we do that because the interoperability is key you're not just putting it's not just a single vendor we're talking you know many many vendors I mean think about the average number of cloud application as a customer uses a business and enterprise business today you know it's it's above 30 it's it's skyrocketing and so what we do and we look at it from an interoperability approach is how do things interoperate we test it out we validate it we build a reference architecture it says these are the critical design elements now let's build one with aviatrix and show how this works with aviatrix and I think the the important part there though is the automation piece that we add to it in visibility so I think the visibility is what's what I see lacking across the industry today and the cloud needed that's been a big topic okay in terms of aviatrix as you guys see them coming in they're one of the ones that are emerging and the new brands emerging but multi-cloud you still got the old guard incumbents with huge footprints how our customers dealing with that that kind of component and dealing with both of them yeah I mean where we have customers that are ingrained with a particular vendor and you know we have partnerships with many vendors so our objective is to provide the solution that meets that client and you they all want multi vendor they all want interoperability correct all right so I got to ask you guys a question while we were defining day two operations what does that mean I mean you guys are looking at the big business and technical components of architecture what does day to Operations mean what's the definition of that yeah so I think from our perspective my experience we you know day to operations whether it's it's not just the you know the orchestration piece and setting up and let it a lot of automate and have some you know change control you're looking at this from a data perspective how do I support this ongoing and make it easy to make changes as we evolve the the the cloud is very dynamic the the nature of how the fast is expanding the number of features is astonish trying to keep up to date with a number of just networking capabilities and services that are added so I think day to operation starts with a fundable understanding of you know building out supporting a customer's environments and making it the automation piece easy from from you know a distance I think yeah and you know taking that to the next level of being able to enable customers to have catalog items that they can pick and choose hey I need this network connectivity from this cloud location back to this on pram and being able to have that automated and provisioned just simply by ordering it for the folks watching out there guys take a minute to explain as you guys are in the trenches doing a lot of good work what are some of the engagement that you guys get into how does that progress what is that what's what happens do they call you up and say hey I need some multi-cloud or you're already in there I mean take us through why how someone can engage to use a global si to come in and make this thing happen what's looks like typical engagement look like yeah so from our perspective we typically have a series of workshops in a methodology that we kind of go along the journey number one we have a foundational approach and I don't mean foundation meaning the network foundation that's a very critical element we got a factor in security we've got a factor in automation so we think about foundation we do a workshop that starts with education a lot of times we'll go in and we'll just educate the customer what is VP she's sharing you know what is a private Lincoln or how does that impact your business we have customers I want to share services out in an ecosystem with other customers and partners well there's many ways to accomplish that so our goal is to you know understand those requirements and then build that strategy with them thoughts Georgia yeah I mean I'm one of the guys that's down in the weeds making things happen so I'm not the guy on the front line interfacing with the customers every day but we have a similar approach you know we have a consulting practice that will go out and and apply their practices to see what those and when do you parachute in yeah and when I then is I'm on the back end working with our offering development leads for the networking so we understand or seeing what customers are asking for and we're on the back end developing the solutions that integrate with our own offerings as well as enable other customers to just deploy quickly to beep their connectivity needs it so the patterns are similar right final question for you guys I want to ask you to paint a picture of what success looks like and you know the name customers didn't forget in reveal kind of who they are but what does success look like in multi-cloud as you paint a picture for the folks here and watching on the live stream it's someone says hey I want to be multi-cloud I got to have my operations agile I want full DevOps I want programmability security built in from day zero what does success look like yeah I think success looks like this so when you're building out a network the network is a harder thing to change than some other aspects of cloud so what we think is even if you're thinking about that second cloud which we have most of our customers are on to public clouds today they might be dabbling in that as you build that network foundation that architecture that takes in consideration where you're going and so once we start building that reference architecture out that shows this is how to sit from a multi cloud perspective not a single cloud and let's not forget our branches let's not forget our data centers let's not forget how all this connects together because that's how we define multi-cloud it's not just in the cloud it's on Prem and it's off from and so collectively I think the key is also is that we provide them an hld you got to start with a high level design that can be tweaked as you go through the journey but you got to give a solid structural foundation and that that networking which we think most customers think as not not the network engineers but as an afterthought we want to make that the most critical element before you start the journey Jorge from your seed how do you success look for you so you know it starts out on these journeys often start out people not even thinking about what is gonna happen what what their network needs are when they start their migration journey to the cloud so I want this success to me looks like them being able to end up not worrying about what's happening in the network when they move to the cloud good point guys great insight thanks for coming on share and pen I've got a round of applause the global system integrators Hey [Applause] [Music] okay welcome back from the live feed I'm chef for with the cube Steve Eleni CEO of aviatrix my co-host our next panel is the aviatrix certified engineers also known as aces this is the folks that are certified their engineering they're building these new solutions please welcome Toby Foster min from Attica Stacy linear from Teradata and Jennifer Reid with Victor Davis to the stage I was just gonna I was just gonna rip you guys see where's your jackets and Jen's got the jacket on okay good love the aviatrix aces pile of gear they're above the clouds towards a new heights that's right so guys aviatrix aces love the name I think it's great certified this is all about getting things engineered so there's a level of certification I want to get into that but first take us through the day in the life of an ace and just to point out Stacey's a squad leader so he's like a Squadron Leader Roger and leader yeah Squadron Leader so he's got a bunch of aces underneath him but share your perspective day-in-the-life Jennifer will start with you sure so I have actually a whole team that works for me both in the in the North America both in the US and in Mexico and so I'm eagerly working to get them certified as well so I can become a squad leader myself but it's important because one of the the critical gaps that we've found is people having the networking background because they're you graduate from college and you have a lot of computer science background you can program you've got Python but now working in packets they just don't get and so just taking them through all the processes that it's really necessary to understand when you're troubleshooting is really critical mm-hmm and because you're gonna get an issue where you need to figure out where exactly is that happening on the network you know is my my issue just in the VP C's and on the instance side is a security group or is it going on print and this is something actually embedded within Amazon itself I mean I should troubleshot an issue for about six months going back and forth with Amazon and it was the vgw VPN because they were auto-scaling on two sides and we ended up having to pull out the Cisco's and put in aviatrix so I could just say okay it's fixed and I actually actually helped the application teams get to that and get it solved yeah but I'm taking a lot of junior people and getting them through that certification process so they can understand and see the network the way I see the network I mean look I've been doing this for 25 years when I got out when I went in the Marine Corps that's what I did and coming out the network is still the network but people don't get the same training they get they got in the 90s it's just so easy just write some software they work takes care of itself yes he'll be we'll come back to that I want to come back to that problem solve with Amazon but Toby I think the only thing I have to add to that is that it's always the network fault as long as I've been in network have always been the network's fault sure and I'm even to this day you know it's still the network's fault and part of being a network guy is that you need to prove when it is and when it's not your fault and that means you need to know a little bit about a hundred different things to make that and now you've got a full stack DevOps you got to know a lot more times another hundred and these times are changing they see your squadron leader I get that right what is what is a squadron leader first can you describe what it is I think it probably just leading all the network components of it but are they from my perspective when to think about what you asked them was it's about no issues and no escalation soft my day is like that's a good outcome that's a good day it's a good day Jennifer you mentioned the Amazon thing this brings up a good point you know when you have these new waves come in you have a lot of new things newly use cases a lot of the finger-pointing it's that guys problem that girls problem so what is how do you solve that and how do you get the young guns up to speed is there training is that this is where the certification comes in those where the certification is really going to come in I know when we we got together at reinvent one of the the questions that that we had with Stephen the team was what what should our certification look like you know she would just be teaching about what aviatrix troubleshooting brings to bear but what should that be like and I think Toby and I were like no no no that's going a little too high we need to get really low because the the better someone can get at actually understanding what actually happening in the network and and where to actually troubleshoot the problem how to step back each of those processes because without that it's just a big black box and they don't know you know because everything is abstracted in Amazon Internet and Azure and Google is substracted and they have these virtual gateways they have VPNs that you just don't have the logs on it's you just don't know and so then what tools can you put in front of them of where they can look because there are full logs well as long as they turned on the flow logs when they built it you know and there's like each one of those little things that well if they'd had decided to do that when they built it it's there but if you can come in later to really supplement that with training to actual troubleshoot and do a packet capture here as it's going through then teaching them how to read that even yeah Toby we were talking before he came on up on stage about your career you've been networking all your time and then you know you're now mentoring a lot of younger people how is that going because the people who come in fresh they don't have all the old war stories they don't know you talk about you know that's dimmer fault I walk in Mayr feet in the snow when I was your age I mean it's so easy now right they say what's your take on how you train the young P so I've noticed two things one is that they are up to speed a lot faster in generalities of networking they can tell you what a network is in high school level now where I didn't learn that too midway through my career and they're learning it faster but they don't necessarily understand why it's that way or you know everybody thinks that it's always slash 24 for a subnet and they don't understand why you can break it down smaller why it's really necessary so the the ramp up speed is much faster for these guys that are coming in but they don't understand why and they need some of that background knowledge to see where it's coming from and why is it important and that's old guys that's where we thrive Jennifer you mentioned you you got in from the Marines health spa when you got into networking how what was it like then and compare it now most like we've heard earlier static versus dynamic don't be static cuz back then you just said the network you got a perimeter yeah no there was no such thing ya know so back in the day I mean I mean we had banyan vines for email and you know we had token ring and I had to set up token ring networks and figure out why that didn't work because how many of things were actually sharing it but then actually just cutting fiber and running fiber cables and dropping them over you know shelters to plug them in and oh crap they swung it too hard and shattered it now I gotta be great polished this thing and actually shoot like to see if it works I mean that was the network current five cat 5 cables to run an Ethernet you know and then from that just said network switches dumb switches like those were the most common ones you had then actually configuring routers and you know logging into a Cisco router and actually knowing how to configure that and it was funny because I had gone all the way up and was a software product manager for a while so I've gone all the way up the stack and then two and a half three years ago I came across to to work with entity group that became Victor Davis but we went to help one of our customers Avis and it was like okay so we need to fix the network okay I haven't done this in 20 years but all right let's get to it you know because it really fundamentally does not change it's still the network I mean I've had people tell me well you know when we go to containers we will not have to worry about the network and I'm like yeah you don't I do and then with this within the program abilities it really interesting so I think this brings up the certification what are some of the new things that people should be aware of that come in with the aviatrix ace certification what are some of the highlights can you guys share some of the some of the highlights around the certifications I think some of the importance is that it's it doesn't need to be vendor specific for network generality or basic networking knowledge and instead of learning how Cisco does something or how Palo Alto does something we need to understand how and why it works as a basic model and then understand how each vendor has gone about that problem and solved it in a general that's true in multi cloud as well you can't learn how cloud networking works without understanding how AWS integer and GCP are all slightly the same but slightly different and some things work and some things don't I think that's probably the number one take I think having a certification across clouds is really valuable because we heard the global si you help the business issues what does it mean to do that is it code is that networking is it configuration is that aviatrix what is the amine oxy aviatrix is a certification but what is it about the multi cloud that makes it multi networking and multi vendor and easy answer is yes so you got to be a general let's go to your hands and all you have to be it takes experience because it's every every cloud vendor has their own certification whether that's hops and [Music] advanced networking and advanced security or whatever it might be yeah they can take the test but they have no idea how to figure out what's wrong with that system and the same thing with any certification but it's really getting your hands in there and actually having to troubleshoot the problems you know actually work the problem you know and calm down it's going to be okay I mean because I don't know how many calls I've been on or even had aviatrix join me on it's like okay so everyone calm down let's figure out what's happening it's like we've looked at that screen three times looking at it again it's not going to solve that problem right but at the same time you know remaining calm but knowing that it really is I'm getting a packet from here to go over here it's not working so what could be the problem you know and actually stepping them through those scenarios but that's like you only get that by having to do it you know and seeing it and going through it and then I have a question so we you know I just see it we started this program maybe six months ago we're seeing a huge amount of interest I mean we're oversubscribed on all the training sessions we've got people flying from around the country even with coronavirus flying to go to Seattle to go to these events were oversubscribed a good is that watching leader would put there yeah something that you see in your organizations are you recommending that to people do you see I mean I'm just I would guess I'm surprised I'm not surprised but I'm really surprised by the demand if you would of this multi-cloud network certification because it really isn't anything like that is that something you guys can comment on or do you see the same things in your organization's I say from my side because we operate in the multi cloud environment so it really helps an official for us I think I would add that networking guys have always needed to use certifications to prove that they know what they know it's not good enough to say yeah I know IP addresses or I know how a network works and a couple little check marks or a little letters buying helps give you validity so even in our team we can say hey you know we're using these certifications to know that you know enough of the basics enough of the understandings that you have the tools necessary right so okay I guess my final question for you guys is why an eighth certification is relevant and then second part is share what the livestream folks who aren't yet a certified or might want to jump in to be AVH or certified engineers why is it important so why is it relevant and why shouldn't someone want to be an ace-certified I'm used to right engineer I think my views a little different I think certification comes from proving that you have the knowledge not proving that you get a certification to get no I mean they're backwards so when you've got the training and the understanding and the you use that to prove and you can like grow your certification list with it versus studying for a test to get a certification and have no understanding it okay so that who is the right person that look at this is saying I'm qualified is it a network engineer is it a DevOps person what's your view you know is it a certain you know I think cloud is really the answer it's the as we talked like the edge is getting eroded so is the network definition getting eroded we're getting more and more of some network some DevOps some security lots and lots of security because network is so involved in so many of them that's just the next progression I don't say I expend that to more automation engineers because we have those nails probably well I think that the training classes themselves are helpful especially the entry-level ones for people who may be quote-unquote cloud architects but I've never done anything and networking for them to understand why we need those things to really work whether or not they go through to eventually get a certification is something different but I really think fundamentally understanding how these things work it makes them a better architect makes some better application developer but even more so as you deploy more of your applications into the cloud really getting an understanding even from our people who've tradition down on prime networking they can understand how that's going to work in the cloud too well I know we got just under 30 seconds left but I want to get one more question than just one more for the folks watching that are you may be younger that don't have that networking training from your experiences each of you can answer why is it should they know about networking what's the benefit what's in it for them motivate them share some insights and why they should go a little bit deeper in networking Stacey we'll start with you we'll go down let's say it's probably fundamental right if you want to deliver solutions no we're going use the very top I would say if you fundamental of an operating system running on a machine how those machines talk together as a fundamental change is something that starts from the base and work your way up right well I think it's a challenge because you've come from top-down now you're gonna start looking from bottom up and you want those different systems to cross communicate and say you've built something and you're overlapping IP space not that that doesn't happen but how can I actually make that still operate without having to reappear e-platform it's like those challenges like those younger developers or sis engineers can really start to get their hands around and understand those complexities and bring that forward in their career they got to know the how the pipes are working you guys know what's going some plumbing that's right and they gotta know how it works I had a code it it's right awesome thank you guys for great insights ace certain ABS your certified engineers also known as aces give a round of applause thank you okay all right that concludes my portion thank you Steve thanks for have Don thank you very much that was fantastic everybody round of applause for John for you yeah so great event great event I'm not gonna take long we got we've got lunch outside for that for the people here just a couple of things just call to action right so we saw the aces you know for those of you out on the stream here become a certified right it's great for your career it's great for not knowledge is is fantastic it's not just an aviatrix thing it's gonna teach you about cloud networking multi-cloud networking with a little bit of aviatrix exactly what the Cisco CCIE program was for IP network that type of the thing that's number one second thing is is is is learn right so so there's a there's a link up there for the four to join the community again like I started this this is a community this is the kickoff to this community and it's a movement so go to what a v8 community aviatrix comm starting a community a multi cloud so you know get get trained learn I'd say the next thing is we're doing over a hundred seminars in across the United States and also starting into Europe soon will come out and will actually spend a couple hours and talk about architecture and talk about those beginning things for those of you on the you know on the livestream in here as well you know we're coming to a city near you go to one of those events it's a great way to network with other people that are in the industry as well as to start to learn and get on that multi-cloud journey and then I'd say the last thing is you know we haven't talked a lot about what aviatrix does here and that's intentional we want you you know leaving with wanting to know more and schedule get with us in schedule a multi our architecture workshop session so we we sit out with customers and we talk about where they're at in that journey and more importantly where they're going and define that end state architecture from networking compute storage everything and everything you heard today every panel kept talking about architecture talking about operations those are the types of things that we solve we help you define that canonical architecture that system architecture that's yours so for so many of our customers they have three by five plotted lucid charts architecture drawings and it's the customer name slash aviatrix arc network architecture and they put it on their whiteboard that's what what we and that's the most valuable thing they get from us so this becomes their twenty-year network architecture drawing that they don't do anything without talking to us and look at that architecture that's what we do in these multi hour workshop sessions with customers and that's super super powerful so if you're interested definitely call us and let's schedule that with our team so anyway I just want to thank everybody on the livestream thank everybody here hopefully it was it was very useful I think it was and joined the movement and for those of you here join us for lunch and thank you very much [Applause] [Music] you

>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube. Lisa Martin Day Volante is my co host were a pure accelerate 2019 in Austin, Texas. A couple of guests joining us. Next. Please welcome Barack elected director product management for slunk. Welcome back to the Cube. Thank you. And guess who's back. Von Stewart. V. P. A. Technology from pure Avon. Welcome back. >> Hey, thanks for having us guys really excited about this topic. >> We are too. All right, so But we'll start with you. Since you're so excited in your nice orange pocket square is peeking out of your jacket there. Talk about the Splunk, your relationship. Long relationship, new offerings, joint value. What's going on? >> Great set up. So Splunk impure have had a long relationship around accelerating customers analytics The speed at which they can get their questions answered the rate at which they could ingest data right to build just more sources. Look at more data, get faster time to take action. However, I shouldn't be leading this conversation because Split Split has released a new architecture, a significant evolution if you will from the traditional Splunk architectural was built off of Daz and a shared nothing architecture. Leveraging replicas, right? Very similar what you'd have with, like, say, in H D. F s Work it load or H c. I. For those who aren't in the analytic space, they've released the new architecture that's disaggregated based off of cashing and an object store construct called Smart Store, which Broth is the product manager for? >> All right, tell us about that. >> So we release a smart for the future as part of spunk Enterprise. $7 to about a near back back in September Timeframe. Really Genesis or Strong Smart Strong goes back to the key customer problem that we were looking to solve. So one of our customers, they're already ingesting a large volume of data, but the need to retain the data for twice, then one of Peter and in today's architecture, what it required was them to kind of lean nearly scale on the amount of hardware. What we realized it. Sooner or later, all customers are going to run into this issue. But if they want in just more data or reading the data for longer periods, of time, they're going to run into this cost ceiling sooner or later on. The challenge is that into this architecture, today's distributes killer dark picture that we have today, which of all, about 10 years back, with the evolution of the Duke in this particular architecture, the computer and story Jacqui located. And because computer storage acqua located, it allows us to process large volumes of data. But if you look at the demand today, we can see that the demand for storage or placing the demand for computer So these are, too to directly opposite trans that we're seeing in the market space. If you need to basically provide performance at scale, there needs to be a better model. They need a better solution than what we had right now. So that's the reason we basically brought Smart store on denounced availability last September. What's Marceau brings to the table is that a D couples computer and storage, So now you can scale storage independent of computers, so if you need more storage or if you need to read in for longer periods of time, you can just kill independent on the storage and with level age, remote object stores like Bill Flash bid to provide that data depository. But most of your active data said still decides locally on the indexers. So what we did was basically broke the paradigm off computer storage location, and we had a small twist. He said that now the computer stories can be the couple, but you bring comfort and stories closer together only on demand. So that means that when you were running a radio, you know, we're running a search, and whenever the data is being looked for that only when we bring the data together. The other key thing that we do is we have an active data set way ensure that the smart store has ah, very powerful cash manager that allows that ensures that the active data set is always very similar to the time when your laptop, the night when your laptop has active data sets always in the cash always on memory. So very similar to that smarts for cash allows you to have active data set always locally on the index. Start your search performance is not impact. >> Yes, this problem of scaling compute and storage independently. You mentioned H. D. F s you saw it early on there. The hyper converged guys have been trying to solve this problem. Um, some of the database guys like snowflakes have solved it in the cloud. But if I understand correctly, you're doing this on Prem. >> So we're doing this board an on Prem as well as in Cloud. So this smart so feature is already available on tramp were also already using a host all off our spun cloud deployments as well. It's available for customers who want obviously deploy spunk on AWS as well. >> Okay, where do you guys fit in? So we >> fit in with customers anywhere from on the hate say this way. But on the small side, at the hundreds of terabytes up into the tens and hundreds of petabytes side. And that's really just kind of shows the pervasiveness of Splunk both through mid market, all the way up through the through the enterprise, every industry and every vertical. So where we come in relative to smart store is we were a coat co developer, a launch partner. And because our object offering Flash Blade is a high performance object store, we are a little bit different than the rest of the Splunk s story partner ecosystem who have invested in slow more of an archive mode of s tree right, we have always been designed and kind of betting on the future would be based on high performance, large scale object. And so we believe smart store is is a ah, perfect example, if you will, of a modern analytics platform. When you look at the architecture with smart store as brush here with you, you want to suffice a majority of your queries out of cash because the performance difference between reading out a cash that let's say, that's NAND based or envy. Emmy based or obtain, if you will. When you fall, you have to go read a data data out of the Objects store, right. You could have a significant performance. Trade off wean mix significantly minimized that performance drop because you're going to a very high bandwith flash blade. We've done comparison test with other other smart store search results have been published in other vendors, white papers and we show Flash blade. When we run the same benchmark is 80 times faster and so what you can now have without architecture is confidence that should you find yourself in a compliance or regulatory issue, something like Maybe GDP are where you've got 72 hours to notify everyone who's been impacted by a breach. Maybe you've got a cybersecurity case where the average time to find that you've been penetrated occurs 206 days after the event. And now you gotta go dig through your old data illegal discovery, you know, questions around, you know, customer purchases, purchases or credit card payments. Any time where you've got to go back in the history, we're gonna deliver those results and order of magnitude faster than any other object store in the market today. That translates from ours. Today's days, two weeks, and we think that falls into our advantage. Almost two >> orders of magnitude. >> Can this be Flash Player >> at 80%? Sorry, Katie. Time 80 x. Yes, that's what I heard. >> Do you display? Consider what flashlight is doing here. An accelerant of spunk, workloads and customer environment. >> Definitely, because the forward with the smart, strong cash way allow high performance at scale for data that's recites locally in the cash. But now, by using a high performance object store like your flash played. Customers can expect the same high performing board when data is in the cash as well as invented sin. Remorseful >> sparks it. Interesting animal. Um, yeah, you have a point before we >> subjects. Well, I don't want to cut you off. It's OK. So I would say commenting on the performance is just part of the equation when you look at that, UM, common operational activities that a splitting, not a storage team. But a Splunk team has to incur right patch management, whether it's at the Splunk software, maybe the operating system, like linen store windows, that spunk is running on, or any of the other components on side on that platform. Patch Management data Re balancing cause it's unequal. Equally distributed, um, hardware refreshes expansion of the cluster. Maybe you need more computer storage. Those operations in terms of time, whether on smart store versus the classic model, are anywhere from 100 to 1000 times faster with smart store so you could have a deployment that, for example, it takes you two weeks to upgrade all the notes, and it gets done in four hours when it's on Smart store. That is material in terms of your operational costs. >> So I was gonna say, Splunk, we've been watching Splunk for a long time. There's our 10th year of doing the Cube, not our 10th anniversary of our 10th year. I think it will be our ninth year of doing dot com. And so we've seen Splunk emerged very cool company like like pure hip hip vibe to it. And back in the day, we talked about big data. Splunk never used that term, really not widely in its marketing. But then when we started to talk about who's gonna own the big data, that space was a cloud era was gonna be mad. We came back. We said, It's gonna be spunk and that's what's happened. Spunk has become a workload, a variety of workloads that has now permeated the organization, started with log files and security kind of kind of cumbersome. But now it's like everywhere. So I wonder if you could talk to the sort of explosion of Splunk in the workloads and what kind of opportunity this provides for you guys. >> So a very good question here, Right? So what we have seen is that spunk has become the de facto platform for all of one structure data as customers start to realize the value of putting their trying to Splunk on the watch. Your spunk is that this is like a huge differentiate of us. Monk is the read only skim on reed which allows you to basically put all of the data without any structure and ask questions on the flight that allows you to kind of do investigations in real time, be more reactive. What's being proactive? We be more proactive. Was being reactive scaleable platform the skills of large data volumes, highly available platform. All of that are the reason why you're seeing an increase that option. We see the same thing with all other customers as well. They start off with one data source with one use case and then very soon they realize the power of Splunk and they start to add additional use cases in just more and more data sources. >> But this no >> scheme on writer you call scheme on Reed has been so problematic for so many big data practitioners because it just became the state of swamp. >> That didn't >> happen with Splunk. Was that because you had very defined use cases obviously security being one or was it with their architectural considerations as well? >> They just architecture, consideration for security and 90 with the initial use cases, with the fact that the scheme on Reid basically gives open subject possibilities for you. Because there's no structure to the data, you can ask questions on the fly on. You can use that to investigate, to troubleshoot and allies and take remedial actions on what's happening. And now, with our new acquisitions, we have added additional capabilities where we can talk, orchestrate the whole Anto and flow with Phantom, right? So a lot of these acquisitions also helping unable the market. >> So we've been talking about TAM expansion all week. We definitely hit it with Charlie pretty hard. I have. You know, I think it's a really important topic. One of things we haven't hit on is tam expansion through partnerships and that flywheel effect. So how do you see the partners ship with Splunk Just in terms of supporting that tam expansion the next 10 years? >> So, uh, analytics, particularly log and Alex have really taken off for us in the last year. As we put more focus on it, we want to double down on our investments as we go through the end of this year and in the next year with with a focus on Splunk um, a zealous other alliances. We think we are in a unique position because the rollout of smart store right customers are always on a different scale in terms of when they want to adopt a new architecture right. It is a significant decision that they have to make. And so we believe between the combination of flash array for the hot tear and flash played for the cold is a nice way for customers with classic Splunk architecture to modernize their platform. Leverage the benefits of data reduction to drive down some of the cost leverage. The benefits of Flash to increase the rate at which they can ask questions and get answers is a nice stepping stone. And when customers are ready because Flash Blade is one of the few storage platforms in the market at this scale out band with optimized for both NFS and object, they can go through a rolling nondestructive upgrade to smart store, have you no investment protection, and if they can't repurpose that flash rate, they can use peers of service to have the flesh raise the hot today and drop it back off just when they're done within tomorrow. >> And what about C for, you know, big workloads, like like big data workloads. I mean, is that a good fit here? You really need to be more performance oriented. >> So flash Blade is is high bandwith optimization, which really is designed for workload. Like Splunk. Where when you have to do a sparse search, right, we'll find that needle in the haystack question, right? Were you breached? Where were you? Briefed. How were you breached? Go read as much data as possible. You've gotta in just all that data, back to the service as fast as you can. And with beast Cloud blocked, Teresi is really optimized it a tear to form of NAND for that secondary. Maybe transactional data base or virtual machines. >> All right, I want more, and then I'm gonna shut up sick. The signal FX acquisition was very interesting to me for a lot of reasons. One was the cloud. The SAS portion of Splunk was late to that game, but now you're sort of making that transition. You saw Tableau you saw Adobe like rip the band Aid Off and it was somewhat painful. But spunk is it. So I wonder. Any advice that you spend Splunk would have toe von as pure as they make that transition to that sass model. >> So I think definitely, I think it's going to be a challenging one, but I think it's a much needed one in there in the environment that we are in. The key thing is to always because two more focus and I'm sure that you're already our customer focus. But the key is key thing is to make sure that any service is up all the time on make sure that you can provide that up time, which is going to be crucial for beating your customers. Elise. >> That's good. That's good guidance. >> You >> just wanted to cover that for you favor of keeping you date. >> So you gave us some of those really impressive stats In terms of performance. >> They're almost too good to be true. >> Well, what's customer feedback? Let's talk about the real world when you're talking to customers about those numbers. What's the reaction? >> So I don't wanna speak for Broth, so I will say in our engagements within their customer base, while we here, particularly from customers of scale. So the larger the environment, the more aggressive they are to say they will adopt smart store right and on a more aggressive scale than the smaller environments. And it's because the benefits of operating and maintaining the indexer cluster are are so great that they'll actually turn to the stores team and say, This is the new architecture I want. This is a new storage platform and again. So when we're talking about patch management, cluster expansion Harbor Refresh. I mean, you're talking for a large sum. Large installs weeks, not two or 3 10 weeks, 12 weeks on end so it can be. You can reduce that down to a couple of days. It changes your your operational paradigm, your staffing. And so it has got high impact. >> So one of the message that we're hearing from customers is that it's far so they get a significant reduction in the infrastructure spent it almost dropped by 2/3. That's really significant file off our large customers for spending a ton of money on infrastructure, so just dropping that by 2/3 is a significant driver to kind of move too smart. Store this in addition to all the other benefits that get smart store with operational simplicity and the ability that it provides. You >> also have customers because of smart store. They can now actually bursts on demand. And so >> you can think of this and kind of two paradigms, right. Instead of >> having to try to avoid some of the operational pain, right, pre purchase and pre provisional large infrastructure and hope you fill it up. They could do it more of a right sides and kind of grow in increments on demand, whether it's storage or compute. That's something that's net new with smart store um, they can also, if they have ah, significant event occur. They can fire up additional indexer notes and search clusters that can either be bare metal v ems or containers. Right Try to, you know, push the flash, too. It's Max. Once they found the answers that they need gotten through. Whatever the urgent issues, they just deep provisionals assets on demand and return back down to a steady state. So it's very flexible, you know, kind of cloud native, agile platform >> on several guys. I wish we had more time. But thank you so much fun. And Deron, for joining David me on the Cube today and sharing all of the innovation that continues to come from this partnership. >> Great to see you appreciate it >> for Dave Volante. I'm Lisa Martin, and you're watching the Cube?

(upbeat jazz music) >> From our studios, in the heart of Silicon Valley, Palo Alto, California. This is a CUBEConversation. >> Hello everyone, welcome to this special CUBEConversation. I'm John Furrier in theCUBE Studios in Palo Alto, California. We're excited to have a great tech talk here with good friend Howie Xu, who's currently the Vice President of Machine Learning and AI at Zscaler. Formally an entrepreneur, which he sold his company Zscaler. Before that entrepreneur resident Greylock. Before that VMWare, a variety of other endeavors. Howie and I, we've known each other for a while. Great to have you come in and chat about-- >> Great to be here! >> The Zoom, Zscaler, these are the new breed modern era companies, SaaS business models. Really interesting and this is something that we were talking about on email and over text, is our topic. >> Yeah. >> Thanks for coming in. >> Great. >> So you've seen the waves at VMWare, you saw the rapid growth there. And now, you work for Zscaler which is experiencing rapid growth. You saw Zoom go public, and I just interviewed Michael Dell. We were commenting about that on text as well. He said these big markets that have big total addressable dollars associated with them are ripe for disruption. They used to have high barriers to entry in the old ways to look at it, but now with cloud and with SaaS, with data, there's different innovation speeds. This has become a big deal. Talk about your view on this. >> Well to me, when Zoom and then Zscaler founded, many years ago, no one believed that they would become this big, right? When Zoom founded, they were plenty of the conference, free even, software available out there. When Jay founded Zscaler people thought, "Well, there was enough security companies, security solutions." Clearly, they defied conventional wisdom and then they just fought on and they saw something that other people didn't see which is precisely what you were talking about. The SaaS is so different, right? The business model, the innovation speed, the data driven kind of the thing, it's so different. A lot of people say, "Hey what's the difference "between SaaS versus the convention? "Isn't that just moving that thing over to the cloud?" I actually used to think that way too, right? Isn't that just the virtual price, moving on to Amazon Cloud? After living and breathing in SaaS company and then also observing that in the VC industry as well. It's just totally different, day and night different. >> Well I wanted to get into this with you 'cause I think you bring some good perspective onto these insights and to the rocket success of say Zoom and Zscaler, but Zoom in particular, recent successful IPO. Among the recent class this past quarter. Zoom, Lyft, Uber. Zoom is standing out. They're getting profitable. This is video conferencing. You know in the old days if someone said, "Hey, I want to compete with video conferences." Well, the barriers are actually too high, but they took a very innovative approach. Cloud, data, simplicity, and the big 800 pound gorilla was the WebEx's of the world. Who was defined, divine for sharing slides, not so much pure video. (laughing) >> Yeah. >> They really innovated the focus, the speed of success. Unprecedented, in my opinion. I think this is a huge success of what the opportunities are for entrepreneurs. >> Yeah, I think on the surface, right? If you ask Eric he would tell you that, look the WebEx was designed for sharing slides, and then the Zoom was designed from ground up for video sharing, or the video conferencing, so it's very different and it requires different architecture. So that's very true. But I think there is a more fundamental to that. The more fundamental for that is, there are a few things. One is the product, the life cycle is very different. How do you approach the customer? The release cycle, the sort of the feedback loop, right? Much tighter feedback loop, much faster feedback loop between the customer and you. The release cost is much lower now as a SaaS product. So, innovation is just accelerated because it's SaaS, because it's a true SaaS. >> And this is a unique thing, you said before, SaaS isn't just lifting a on-premises workload and moving it to the cloud. It's a completely different mindset. Talk about this dynamic, because it affords new kinds of risk taking. You and I were talking about before we came on camera, share your insight on that. >> Well, you know, as kind of the traditional software you have a release cycle, you want it to have a release date, right? And then once the product is in customer hand, if you have a bug, if you have something, it's so costly to change it, right? But as a SaaS, the form factor, you can take a little bit more risk. You can even give that feature set to 10% of your audience. Not the entire set of the audience. You can do those kind of magic, so you can accelerate the innovation and as a shrink-wrapped software the traditional way. You have one shot, if that software is not good, then you are toast. >> So you can move quicker. You can push code, you don't have the on-premise dynamics. >> Yeah, the innovation and then risk taking are kind of correlated, right? Relatively more risk, the more you are willing to take risk, relatively you can take more innovation. So, that's the thing. >> Well, you and I were talking, and one of the key things that you have been talking about publicly, and amongst friends, is innovation speed. Everyone wants the innovation fever. "I got to win to innovate, digital transformation, rah rah." Easier said then done. Innovation speed is critical with cloud and SaaS, why? What's the formula there for innovation speed? >> Well, one thing we discussed, the release cycle. For a, not necessarily for Zoom and Zscaler, but you know for SaaS in general, its possible for you to have daily, weekly, monthly release. Traditional software, there is no way you can do that but that's just the release cycles of that. The other thing is, you can actually take a risk. You can say, "Hey I want you to try to raise 1% of the customer and then see how they are going to react to this." But in the traditional way you have product manager debating for six months, six years on whether or how to do things. Here, let's not debate, let's just see. >> Let's ship it. >> Right, ship it. >> And Reid Hoffman always says, "If he's not embarrassed by your first shipment then you're not doing it properly." Which begs the question, I want to get your thoughts on this because, again with VMware, you saw how early that worked and their transforming cloud is now here unlike when they started the company. What is the right way to do it? And what's the wrong way to do it? When you look at an entrepreneur or a friend, who's trying to get a business off the ground, SaaS business, when you look at what they're doing, and you look at their mechanisms and how they're organizing their team, their code. What jumps out at you as the wrong way, and what's the right way? >> Well, the, I think the coach is really it, right? You know, the kind of the coach of incremental success and the fast iteration is the culture for a SaaS company, right? For the traditional one, you cannot afford to do that, because once you make a small mistake, you are toast. So I think, you know, that the culture difference, you really want it to have faster iteration basically. >> And that also comes down to the team, the people, right? >> Yes. >> The people selection. >> Yes, if you are kind of used to the waterfall thing, it's pretty hard to adapt to this kind of the SaaS world. >> And what's your advice to entrepreneurs? Reset, because if you say speed is of the essence, resetting is probably something that's not hard to do, then. >> Well, I wouldn't say easy, but not easy-- >> I hate to use the word pivot, but you know, resetting means okay, stop, rebuild. >> I think one way to think about it is actually looking at it and how to build enterprise software, like the consumer sort of product way, right? If you think of Facebook or Google, the traditional Google, of course Google now has enterprise product, but the traditional sort of, the Google, Facebook, kind of the product, it's more for consumers to consume. I mean they are fast iterations. How often? What's the criteria to release a product? Enterprise product is getting towards there. You need that kind of the thing, so, if you don't know how to do it look at a Facebook, how Facebook, of course Facebook and YouTube pulled the other way around, they need to care more about the privacy, care about more stability. So I think you are seeing the the two sides of the world, the enterprise side and the consumer side. They are learning from each other. >> Well, I want to get to the enterprise talk track in a second, because I think you can give a lot of insight, so I want to stay on SaaS cloud native or cloud specifically, 'cause that's where SaaS really shines when you're really talking about cloud scale. Data, you're doing AI now, and you and I have both talked about data many times. >> Yes. >> You know I'm a data hardcore person. I love data. I think software and data, I wrote a blog post in 2007, that says data is the new developer kit. The word "developer kit" was used back then. You're now seeing where data is part of the developer's piece of their value creation. Highly addressable, available, usable, not stored in some silo unaddressable, high latency to get it. How important is the data for the SaaS piece? Because that's where to make these kind of changes you're talking about, you need the data, data's giving you insights, that's something that's near and dear to your heart. Explain your vision of the role of data. >> Yeah, I think, you touched up on it. If you want to make sense out of something, you need the data, right? And if it's not SaaS, I would go, maybe a more extreme way, but it's not clear to me the data's even useful to you 'cause you know the data may be for some large software company, they may have hundreds of thousands of customers out there, but the data is spread around. I mean how are you going to train a model with all the data spread around hundreds of thousands of locations? So the real, the correct, or the optimal way, is actually the SaaS model, you actually have the data with you and then you kind of leverage the data. So I would say this is actually another benefit of the SaaS, why SaaS is going to change the world or eat the world. It owns the data for real, right? The data may be not the private data, but it's actually could be a behavior data. How people are reacting to your features. From VMware days we wanted to know, is people even using this feature? How often people use this feature? You know people are always debating, "Hey what's the maximum policy we need to give this and that?" But in the SaaS world, no debate just look at it. We always say, "Don't listen to what customers are wanting you to do." But watch how they do things, so that you can sort of understand, what product you want to develop, right? Here you actually can really watch how customers using your product. Don't listen to them, if you listen to them you will give them a faster horse as we all knew. >> But what's important about the data discussion, because, a security person would say, "Hey if you put into one spot, I can hack it." But, it's not just people's names, it's other data. It's gesture data, it's usage data, so you're not talking about sign in data, it's data. >> It could be the behavior, it could be second order data. Do people use my product, that's my data. That's something I wanted to know, I'm not necessarily talking about peeking into people's email, no. It's actually the thing surrounding it. >> It's looking for the good things in the data. All right, let's talk about the customer alignment and customer expectations, you know customer user experience is driven by customer's expectations usually, right? As expectations change. And I think the Zoom thing jumped out at me, the Zoom IPO and their great success and were a customer as well, is that they really nailed the expectation of the user and cloud certainly helped them get that speed, but this is a key thing, if you could just deliver a great experience. >> Yeah. >> For those customers, you can actually win big part of the market. >> Yeah, if you Google, Eric. Eric doesn't speak to me as much, but if you Google Eric. >> We'll get him on theCUBE. >> What's sort of the jump? Hopefully I can help you to bring him here too. But what's going to be obvious if you Google search Eric he is sort of the notion of customer successes, my success. If customer is happy, I'm going to happy. So, my happiness hinges on the customer's happiness. So that's, kind of very important because only the SaaS model made that more natural. In traditional model, whether traditional on prime or we're not, you sort of celebrate when you have customer signing your PO and then you don't hear from the sales guy or three years, the sales guy may move on to another company, you don't know, right? But for the SaaS, it doesn't stop when sign the PO. You actually have to earn customers' happiness every single day. >> Adoption's critical. >> Yeah, customer success is important and then that's kind of the, so there is a huge alignment, very interesting alignment between customer's happiness, customer success, customer adoption of your product and you're sort of, the success, right? 'Cause you know, when I came to Zscaler, one of our first meeting is about, okay, we had a lot of customer interest us. They sign a PO. How to get them ramp up the actual first use, right? So, that kind of conversation doesn't happen in the traditional software company. You sign a PO. If the customer doesn't use your product for another 18 month which is actually quite normal, no one is going to jump up and say, "This is crazy!" Right? >> You know, we're going to do that on our Part Two, about the impact of the enterprise. But you made up a good point there, I want to just close out our last talk point is, the data driving the experience isn't like the old way of throw in, get the PO and celebrate. You got to, kind of, keep that going. The enterprise is changing and the enterprise has a tsunami of onboarding of new types of developers. In some cases they grow. We just had Cisco inside here on theCUBE this morning. They're turning network guys into programmers from CL command line prompt dudes to gals to coders. You're seeing developers now enter the enterprise to build the apps so there's now a digital transformation initiative for enterprises to be, I guess, SaaS-like. But it's hard. >> Yeah, I think that's, you know, this is part of the digital transformation. Every company, Fortune 500 or Fortune 2000 company need to do it, right? So, another interesting part is, when they do this on this journey of digitalization, you cannot possibly build all the infrastructure yourself. You will have to consume public cloud, you know sometimes private and hybrid cloud, and you are actually going to consume lots of the SaaS, right? Whether Zoom, the Zscaler, or the PagerDuty, I mean you are not going to be all those thing from scratch but you want it to have a very good, sort of the stack on top of it and how you going to take advantage of the SaaS, is a very interesting aspect. >> Well in Part Two of our chat, when we come back on our next discussion, I want to get into the enterprise. But to wrap up Part One here, innovation speed, leveraging data and the beautiful risk taking and benefits of SaaS. Large scale, fast, high value, target and developing an app or a venture. >> Yeah. >> What is your advice to entrepreneurs out there and/or someone who's doing a digital transformation? Where they want to leverage Saas, what's the playbook, what's the starting point, what's your advice? >> Well, there are a number of things. One, there are so many SaaS companies out there taking advantage of them, right? In the old days you have to hire email admins, you have to do this. Nowadays, all the SaaS, that's your kind of, you only need to worry about the business logic, you have some unique insight in the business and then just have, hire programmers to codify that and then the rest will magically happen because of the public cloud, because of the SaaS. So, be very mindful about the new environment you are in, that's number one. The second thing I want to say is, how do you look at AI technology? The older way is program something in a definitive way. I think there will be a limit for that. It has taken the software industry a long way to where we are. But, if you look at the next 20 years, I think a lot of the lift is going to be done by the AI Center. But it's not going to be easy to be done, you have to think about your data strategy, where are you going to have the massive, sustainable, unique, ideally even labeled data. If you don't have the labeled data, you have to have the strategy. How are you going to have some unique model with the data you have? So, the data strategy, right? So, essentially, how to take advantage of the cloud? How to take advantage of the data? And then on top of that you are going to do something that's solving an unmet um-- >> Customer problem. >> Customer problem. >> An acute landing spot in the market place. >> Unmet need. >> In a big market. >> In a big, well, in a big market. >> There it is. >> Even if there is already a mature solution I bet, since those mature solutions would not develop from that native cloud era, and the native AI era. You have plenty of opportunities. >> Howie, you and I are on the same page on this, I have been saying it truly believe we are living in an entrepreneurial era where, with your advice and what you just laid out, the better mousetrap can take down a big market. >> And, I'm hopeful that you will also disrupt the media business, you know we're-- >> Don't tell anyone! (laughing) We're still going to do that top secret of Silent Running. Howie, we're going to get Part Two. We're going to dig Deep into the enterprise, because the enterprise now has an opportunity in the first historic time in tech history, to use tools and technologies to completely reset and re-architect for this kind of capability. >> Absolutely. >> So, we'll hit that in Part Two. >> I'm super passionate about it too. >> Howie Xu, here inside theCUBE. Friend of theCUBE, legend in the industry. Great entrepreneur and technologist here, sharing CUBEConversation. I'm John Furrier, thanks for watching. (upbeat jazz music)

>> Live from Las Vegas. It's the queue covering del Technologies. World twenty nineteen. Brought to you by Del Technologies and its ecosystem partners. >> Welcome back to Las Vegas. Lisa Martin with too many man, You're watching The Cube Life from Del Technology. World twenty nineteen were here with about fifteen thousand other people, about four thousand Del Technologies Partners. But how? And now for the first time, we're pleased to welcome the CEO of Virtus Dream. Rory Reid Worry. It's great to have you joining student me on the Cube today. >> It is Lisa. It's a pleasure and riel honor to be on the show today. >> So this morning's Kino we were talking before we went live starts with lots of energy news announcements, partnerships, collaboration, walking, you. You're in industry veteran, which will dig into, I'm sure during the segment. >> Thirty five years. >> Thirty five years. That's >> amazing. Thirty five years is how old tells going tto be tthe when the next week. >> Thirty five years. >> That's a magic number. Congratulations. Thank you Virtus Dream. Talk to us about the integration you lead those efforts. Massive acquisition. What's going on now? What's exciting? You >> Well, I think it's kind of amazing what happened in the integration. This is the largest Tak integration in the world. Sixty seven billion dollars. Shortly after Del goes private, they're going to acquire Delhi, M. C, I, E, M, C and V M, where the huge undertaking thousands of people work on it less than ten months from the time it was announced. October of fifteen. It goes live on September seven sixteen. That's amazing, and our customers reacted and are partners in a just a kn amazing way. It's almost like it didn't happen. You know, I'm biased. I think it went really well. But look at the numbers. Look at the reaction in the marketplace. The growth, the synergy, the revenue, the kinds of impact. And then you see today at Del Adele Technology World. Michael does a keynote. He talked about the impact. Karen comes up and talks about giving back and the work that we're doing around Pathetic and printing three D and artificial intelligence based your limbs. I If you're not fired up about that, you can't get energized. And then you top that off with just a GN amazing discussion about the partnership between VM wear and Del Technologies on the Del Cloud And then the work that we're doing with Microsoft and Satya comes on stage with Michael and >> Pie. I >> mean, this is a power pack woman, and we put this company just three years ago together and look at the kind of impact its house in the industry. Amazing, just amazing. >> So worry. Yeah, I think Jeff Clarke said it well this morning. He said, If you're into technology and can't get excited by what's going on, you know, May maybe you're you know, it's kind of you know, my words. Maybe you're not in the right space. You've got a few of the interesting pieces of the Del Technologies family they talk about. You know, the massive acquisition of DMC with V M. Where Purchase dream Not such a small acquisition itself. Over a billion dollars, one point two billion dollars to billion dollars. And, you know, I remember back Bhumi wasn't out that long ago either, for you know, it was less than a billion dollars, but it was a >> ***. *** is an amazing set of technology. I know you're going tohave Chris McNab on later today. Chris and I have worked on what he called the gloomy acceleration plan the last two years. Way with that team have put in a strategy around taking advantage of just an amazing set of technology. Boo Mi's cloud integration software, I believe, is the absolute best on the planet and the work that we've done. We've doubled that business in the last eighteen months. We've added probably a billion dollars of market valuation they've reached. They add thousands of customers every quarter to that portfolio, the reach and touch and how that's going to drive the way data and applications talk in the cloud era. It's just at the beginning of the impact there. And then you look at a company like Virtus Dream. It's the leader in mission Critical application Work loads on the cloud. This is a company born on the cloud. It's based on the cloud nine years ago. It's the one hand to shake. Customers choose us with their most important applications and data because they need to know that it's gonna work and that we have the experience to Planet Tau migrated, optimize it and bring it to the cloud to cloud of fire and that were the single hand to shake. What's different about us is we have an eye *** way had the infrastructure as a service. We have a software stack with extreme software. Take time. I get fired up about Bloomie's technology Virtus Stream Extreme software. Amazing. And then on top of that, you layer on a white glove said of application and professional services. Very cool. But what was the coolest? Where some of the announcements today and how we're playing with its all of'Em went bare VM were based on, uh, Virtus Dream. And when they announced the partnership with Azure and the idea of V M wear work, clothes on Azure that's actually running will be running and running on. And we've been working with Microsoft and IBM where a virtuous string and it's and then and then you know >> when you say it's running on Virtue Stream, Is it your data centers? Is it part of the soft? Oh no, The >> data, the data centers air all Adger. It's using our software and our technology team have built that said, a technology that we've been in partnership for months with Microsoft and IBM, where to create this offering as one of the Cloud Service partners foundational. It's pretty foundation and you know it. But at the end of a think about del technology is one in the ingredient brand. Sure, that's foundational. This is a company built for the next ten years. Del Technologies. And the impact it's gonna have in the industry is just beginning. Where is it going to go? You saw it this morning in the Kino. Michael has some big, big ideas, >> so worry. A lot of times we look at things in the industry and people is like, Oh, it's binary. It's public cloud or Private Cloud. I've worked with a lot of service providers, and when you look at the world multi cloud, it's really more of an end in putting. That is together. Many of the service providers that air You know where I am seeing her del partners before you know, three or four years ago Oh my gosh, A ws and Microsoft. Well, okay. A partner a little like us off, But Amazons, the enemy. And today it's well, I have our stuff and I'm partnering and I probably have connections between them. Help us. Paint is toe where virtue stream fits into this. You know this spectrum today? >> Your stew. You're on the right point about multi cloud. We just did a press release today at a virtuous stream where we partnered with Forrester. We do, ah, whole industry study on the cloud and the future of the cloud multi cloud ninety seven percent of customers. We spoke to that force or spoke to have a multi cloud strategy for their mission. Critical applications at eighty nine percent of them plan to increase their spend on multi cloud mission critical activities. How we play in that space is that we're the trusted player we've done over eighteen hundred ASAP migration. Where an epic health care leader go talk to Novaya. They asked them how it's gone on Virtus Dreams Cloud amazing set of mission critical capability. But what we're taking is there's this infrastructure is a service in the software stack on the services that software stack is extreme. What we want to do is enable that software stack to manage data and applications in a private environment, a public environment on Prem, and it's all based on the M where so it ties directly into Jeff and Pat's announcement This morning, where they talked about Veum, where being a platform and how they're going to create the Del Cloud on that platform. Virtus Dream is one of the destinations for mission critical workload, but because it's based on VM, where technology it seamlessly begins to integrate across that and allows us to manage data and applications linking our extreme software with the BM, where capabilities that allowed that data and the AP eyes to exchange data and flow freely in a multi cloud world, ninety seven percent of the customers and the forest to research we just released are going to go multi cloud for mission critical, not just based. This's for their most critical applications data >> so future your energy is outstanding in your enthusiasm for this. What are some of the early reactions that customers air having to some of this exciting, groundbreaking news that's coming out today? What do your expectations? >> Well, you know, I spent time with customers, uh, every week and we talk about it, but I've actually talked to customers this day today about it. They found the energy, the passion that the technology that was introduced this morning was sort of game changing because to Stu's point, they are going in a multi cloud era and they know it's going to be multi cloud. And there's going to be on Prem public private. It's gonna link altogether. They need the technology trusted advisors that can work with them, not with a single answer. That only fits one way. Adele Technologies. You want to run on Prem? We have those capabilities you want to run on public count. We have those technologies you want to run in a hybrid kind of solution or a private cloud. We're going to create the ability with these announcements today, tow link it together and create the ability to do it seamlessly, efficiently, productively, cost effectively that allows Our customers too dramatically transformed their business to take them on that digital transformation to disrupt their industries and win. Because when our customers win, we win. That's what we do. Adelle Technologies, we and able our customers to win, and it's all about the customers every single day. You talked about the integration when Michael said every day when we were doing the integration, he said on every decision. When we were building the company, we basically built a new company level by level, he said. The guiding principle that every decision is customer in How does this matter of the customer? How does it make a difference for the customer? And I think we live that everyday. There's fifty fifteen thousand of our closest friends here in Las Vegas there, pretty excited to be here. And why did they take that time? Because we're one of their trusted partners on their digital transformation journey. That's not a bad place to be. If you can't get excited about that, >> Yeah, I'm Rory in the wrong industry. It was amazing to me how fast that immigration work happened. We talked to Howard Elias a bunch along the journey. I'm glad we finally get to you, get you on the record for >> Howard's in the Be's and Guy. What an awesome partner. >> And so you know, one of them's dried. It's ten months is you know, if this thing had taken twenty four months, so much of the industry would have changed by the time from when you went into when you went out. So I guess How do you how do you look at kind of those massive waves versus you know where you need to be with products today in the market and where customers are because you know the danger. You say I want to listen to the customers. Well, you get the old saying if you ask customers they wanted, you know Ah, faster buggy. You know how right you are so right, You make sure you're, you know, hitting that next wave and keeping up with it. I look at you know, all the pieces you have of the puzzle that is the family and in different places along the spectrum. >> Well, I think there's, you know, there's value in the diversity of thought, right, and we talk about on Workforce. But it's a business. The idea that Del technologies is this group of businesses and all these experiences coming together and the interactions with customers from the smallest mom and pop shops farms toe all the way to the most Jake Ganic industry. Transformational companies. You were exposed to a lot of things, and with the kind of forty, one hundred and forty thousand professionals working together and with Michael's vision and the El Tee's vision, there's an ability to see that future, and he is always looking at the future. It's interesting. I worked for a lot of interesting people, but you know, Michael's ability to Teo understand data and of you, he said. It's about having a big year, right? Your ears be twice the size of your mouth. I mean, you gotta listen. And I seriously think he must have a tree of Keebler elves creating data and information. I've never seen so much someone with more data and information. And he he listens. He values the input. He's quick to make a decision, but the team rot rallies around that idea. How can we find that future? And if we make a mistake, let's fix it fast. Let's learn really quick. Make that decision, learn quickly, adjust and capture the opportunity. And it's all about speed and what matters to the customer. I've seen it firsthand. I've been here four years. I spent twenty three years at IBM. I spent five years in Lenovo as their CEO and president. I was CEO and president of Advanced Micro Devices. It's amazing environment where you create a place where technological leaders come every day to solve the most difficult solutions with the founder of the company. That's one of the industry icons, and it's just an amazing privilege and honor to be part of it. And I think you feel that from every person you talk to, that's part of Del Technologies. I am being part of that. Integration was one of the most proudest experiences of my life, and you know what we did way never ran it as an integration office. We kept the decisions with the line with the business, and we had a rapid pays to get through it and decided, and we learned quickly and we adjusted as we went. It wasn't perfect, but it wass pretty close. It's pretty close and I'm bias. I got it. I buy just But it was good. It was good. It was really a great thing. And Howard, amazing guy. But it was because people believed in the vision and they all work together. And when people work together, you can grow, do amazing and great thing. >> You're right. It's all about the people >> it is >> or it's been such a pleasure. Having you on the cute this afternoon was to me. I wish we had more time because I know we can keep talking about it. You're gonna have to come back >> anytime. You like me. It was a pleasure. And thank you so much for taking time to speak to me when you talk to boo me this afternoon, make sure you get into that technology's world. Vast cloud integration platform >> you got. All right, guys. Thank you. Thank you. First to Minuteman. I'm Lisa Martin. You're watching the Cube live from Day one of our double sat coverage of Del technology World twenty nineteen. Thanks for watching.

(upbeat music) >> From our studios in the heart of Silicon Valley, Palo Alto, California, this is a CUBEConversation. >> Hi everyone, welcome to the special CUBEConversation. We're in Palo Alto, California, at theCUBE studio. I'm John Furrier, co-host of the CUBE. We're here with Chris Yeh. He's the co-founder and general partner of Blitzscaling Ventures, author of the book Blitzscaling with Reid Hoffman, founder of LinkedIn and a variety of other ventures, also a partner at Greylock Partners. Chris, great to see you. I've known you for years. Love the book, love Reid. You guys did a great job. So congratulations. But the big news is you're now a TV star as one of the original inaugural contestants on the Mental Samurai, just premiered on Fox, was it >> On Fox. >> On Fox, nine o'clock, on which days? >> So Mental Samurai is on Fox, Tuesdays at 9 p.m. right after Master Chef Junior. >> Alright. So big thing. So successful shows. Take us through the journey. >> Yeah. >> It's a new show, so it's got this kind of like Jeopardy vibe where they got to answer tough questions in what looks like a roller coaster kind of arm that moves you around from station to station, kind of jar you up. But it's a lot of pressure, time clock and hard questions. Tell us about the format. How you got that. Gives all the story. >> So the story behind Mental Samurai is it's from the producers of American Ninja Warrior, if you've ever seen that show. So American Ninja Warrior is a physical obstacle course and these incredible athletes go through and the key is to get through the obstacle course. If you miss any of the obstacles, you're out. So they took that and they translated it to the mental world and they said, okay, we're going to have a mental obstacle course where you going to have different kinds of questions. So they have memory questions, sequence questions, knowledge questions, all these things that are tapping different elements of intelligence. And in order to win at the game, you have to get 12 questions right in five minutes or less. And you can't get a single question wrong. You have to be perfect. >> And they do try to jar you up, to kind of scrabble your brain with those devices, it makes it suspenseful. In watching last night at your watch party in Palo Alto, it's fun to watch because yeah, I'm like, okay, it's going to be cool. I'll support Chris. I'll go there, be great and on TV, and oh my, that's pretty interesting. It was actually riveting. Intense. >> Yeah. You have that element of moving around from station to station and it's dramatic. It's kind of a theater presence. But what's it like in there? Give us some insight. You're coming on in April 30th so you're yet to come on. >> Yes. >> But the early contestants, none of them made it to the 100,000. Only one person passed the first threshold. >> Right >> Take us through the format. How many thresholds are there? What's the format? >> Perfect, so basically when a competitor gets strapped into the chair, they call it Ava, it's like a robot, and basically they got it from some company in Germany and it has the ability to move 360 degrees. It's like an industrial robot or something. It makes you feel like you're an astronaut or in one those centrifugal force things. And the idea is they're adding to the pressure. They're making it more of a challenge. Instead of just Jeopardy where you're sitting there, and answering questions and bantering with Alex Trebek, you're working against the clock and you're being thrown around by this robot. So what happens is first you try to answer 12 questions correctly in less than five minutes. If you do that, then you make it through to the next round, what they call the circle of samurai and you win $10,000. The circle of samurai, what happens is there are four questions and you get 90 seconds plus whatever you have left over from your first run, to answer those four questions. Answer all four questions correctly, you win $100,000 and the official title of Mental Samurai. >> So there's only two levels, circle of samurai but it gets harder. Now also I noticed that it's, their questions have certain puzzles and there's certain kinds of questions. What's the categories, if you will, what's the categories they offer? >> Yes, so the different categories are knowledge, which is just classic trivia, it's a kind of Jeopardy stuff. There's memory, where they have something on screen that you have to memorize, or maybe they play an audio track that you have to remember what happened. And then there's also sequence where you have to put things in order. So all these different things are represented by these different towers which are these gigantic television screens where they present the questions. And the idea is in order to be truly intelligent, you have to be able to handle all of these different things. You can't just have knowledge. You can't just have pop culture. You got to have everything. >> So on the candidates I saw some from Stanford. >> Yeah. >> I saw an athlete. It's a lot of diversity in candidates. How do they pick the candidates? How did you get involved? Did your phone ring up one day? Were you identified, they've read your blog. Obviously they've, you're smart. I've read your stuff on Facebook. How did you get in there? (laughs) >> Excellent question. So the whole process, there's a giant casting department that does all these things. And there's people who just cast people for game shows. And what happened with me is many years ago back in 2014, my sister worked in Hollywood when I was growing up. She worked for ER and Baywatch and other companies and she still keeps track of the entertainment industry. And she sent me an email saying, hey, here's a casting call for a new show for smart people and you should sign up. And so I replied to the email and said hey I'm Chris Yeh. I'm this author. I graduate from Stanford when I was 19, blah blah blah blah. I should be on your show. And they did a bunch of auditions with me over the phone. And they said we love you, the network loves you. We'll get in touch and then I never heard. Turns out that show never got the green light. And they never even shot that show. But that put me on a list with these various casting directors. And for this show it turns out that there was an executive producer of the show, the creator of the show, his niece was the casting director who interviewed me back in 2014. And she told her uncle, hey, there's this guy, Chris Yeh, in Palo Alto. I think would be great for this new show you're doing. Why don't you reach out to him. So they reached out to me. I did a bunch of Skype auditions. And eventually while I was on my book tour for Blitzscaling, I got the email saying, congratulations, you're part of the season one cast. >> And on the Skype interviews, was it they grilling you with questions, or was it doing a mock dry run? What was some of interview vetting questions? >> So they start off by just asking you about yourself and having you talk about who you are because the secret to these shows is none of the competitors are famous in advance, or at least very few of them are. There was a guy who was a major league baseball pitcher, there's a guy who's an astronaut, I mean, those guys are kind of famous already, but the whole point is, they want to build a story around the person like they do with the Olympics so that people care whether they succeed or not. And so they start off with biographical questions and then they proceed to basically use flash cards to simulate the game and see how well you do. >> Got it, so they want to basically get the whole story arc 'cause Chris, obviously Chris is smart, he passed the test. Graduate when he's 19. Okay, you're book smart. Can you handle the pressure? If you do get it, there's your story line. So they kind of look from the classic, kind of marketing segmentation, demographics is your storylines. What are some of the things that they said to you on the feedback? Was there any feedback, like you're perfect, we like this about you. Or is it more just cut and dry. >> Well I think they said, we love your energy. It's coming through very strongly to the screen. That's fantastic. We like your story. Probably the part I struggle the most with, was they said hey, you know, talk to us about adversity. Talk to us about the challenges that you've overcome. And I tell people, listen, I'm a very lucky guy. A lot of great things have happened to me in life. I don't know if there's that much adversity that I can really complain about. Other people who deal with these life threatening illnesses and all this stuff, I don't have that. And so that was probably the part I struggled the most with. >> Well you're certainly impressive. I've known you for years. You're a great investor, a great person. And a great part of Silicon Valley. So congratulations, good luck on the show. So it's Tuesdays. >> 9 p.m. >> 9 p.m. >> On fox. >> On Fox. Mental Samurai. Congratulations, great. Great to be at the launch party last night. The watch party, there'll be another one. Now your episode comes out on April 30th. >> Yes. So on April 30th we will have a big Bay area-wide watch party. I'm assuming that admission will be free, assuming I find the right sponsors. And so I'll come back to you. I'll let you know where it's going to be. Maybe we should even film the party. >> That's, well, I got one more question on the show. >> Yeah. >> You have not been yet on air so but you know the result. What was it like sitting in the chair, I mean, what was it personally like for you? I mean you've taken tests, you've been involved with the situation. You've made some investments. There's probably been some tough term sheets here and there, board meetings. And all that experience in your life, what was it compared to, what was it like? >> Well, it's a really huge adrenaline rush because if you think about there's so many different elements that already make it an adrenaline rush and they all combine together. First of all, you're in this giant studio which looks like something out of a space-age set with this giant robotic arm. There's hundreds of people around cheering. Then you're strapped into a robotic arm which basically makes you feel like an astronaut, like every run starts with you facing straight up, right? Lying back as if you're about to be launched on a rocket. And then you're answering these difficult questions with time pressure and then there's Rob Lowe there as well that you're having a conversation with. So all these things together, and your heart, at least for me, my heart was pounding. I was like trying very hard to stay calm because I knew it was important to stay clam, to be able to get through it. >> Get that recall, alright. Chris, great stuff. Okay, Blitzscaling. Blitzscaling Ventures. Very successful concept. I remember when you guys first started doing this at Stanford, you and Reid, were doing the lectures at Stanford Business School. And I'm like, I love this. It's on YouTube, kind of an open project initially, wasn't really, wasn't really meant to be a book. It was more of gift, paying it forward. Now it's a book. A lot of great praise. Some criticism from some folks but in general it's about scaling ventures, kind of the Silicon Valley way which is the rocket ship I call. The rocket ship ventures. There's still the other venture capitals. But great book. Feedback from the book and the original days at Stanford. Talk about the Blitzscaling journey. >> And one of the things that happened when we did the class at Stanford is we had all these amazing guests come in and speak. So people like Eric Schmidt. People like Diane Greene. People like Brian Chesky, who talked about their experiences. And all of those conversations really formed a key part of the raw material that went into the book. We began to see patterns emerge. Some pretty fascinating patterns. Things like, for example, a lot of companies, the ones that'd done the best job of maintaining their culture, have their founders involved in hiring for the first 500 employees. That was like a magic number that came up over and over again in the interviews. So all this content basically came forward and we said, okay, well how do we now take this and put it into a systematic framework. So the idea of the book was to compress down 40 hours of video content, incredible conversations, and put it in a framework that somebody could read in a couple of hours. >> It is also one of those things where you get lightning in a ball, the classic and so then I'd say go big or go home. But Blitzscaling is all about something new and something different. And I'm reading a book right now called Loonshots, which is a goof on moonshots. It's about the loonies who start the real companies and a lot of companies that are successful like Airbnb was passed over on and they call those loonies. Those aren't moonshots. Moonshots are well known, build-outs. This is where the blitzscaling kind of magic happens. Can you just share your thoughts on that because that's something that's not always talked about in the mainstream press, is that a lot of there blitzscaling companies, are the ones that don't look good on paper initially. >> Yes. >> Or ones that no one's talking about is not in a category or herd mentality of investors. It's really that outlier. >> Yes. >> Talk about that dynamic. >> Yeah, and one of the things that Reid likes to say is that the best possible companies usually sound like they're dumb ideas. And in fact the best investment he's been a part of as a venture capitalist, those are the ones where there's the greatest controversy around the table. It's not the companies that come in and everyone's like this is a no-brainer, let's do it. It's the companies where there's a big fight. Should we do this, should we not? And we think the reason is this. Blitzscaling is all about being able to be the first to scale and the winner take most or the winner take all market. Now if you're in a market where everyone's like, this is a great market, this is a great idea. You're going to have huge competition. You're going to have a lot of people going after it. It's very difficult to be the first to scale. If you are contrarian and right you believe something that other people don't believe, you have the space to build that early lead, that you can then use to leverage yourself into that enduring market leadership. >> And one of the things that I observed from the videos as well is that the other fact that kind of plays into, I want to get your reaction, this is that there has to be a market shift that goes on too because you have to have a tailwind or a wave to ride because if you can be contrarian if there's no wave, >> Right. >> right? so a lot of these companies that you guys highlight, have the wave behind them. It was mobile computing, SaaSification, cloud computing, all kind of coming together. Talk about that dynamic and your reaction 'cause that's something where people can get confused on blitzscaling. They read the book. Oh I'm going to disrupt the dry cleaning business. Well I mean, not really. I mean, unless there's something different >> Exactly. >> in market conditions. Talk about that. >> Yeah, so with blitzscaling you're really talking about a new market or a market that's transforming. So what is it that causes these things to transform? Almost always it's some new form of technological innovation, or perhaps a packaging of different technological innovations. Take mobile computing for example. Many of the components have been around for a while. But it took off when Apple was able to combine together capacitative touchscreens and the form factor and the processor strength being high enough finally. And all these things together created the technological innovation. The technological innovation then enables the business model innovation of building an app store and creating a whole new way of thinking about handheld computing. And then based on that business model innovation, you have the strategy innovation of blitzscaling to allow you to grow rapidly and keep from blowing up when you grow. >> And the spirit of kind of having, kind of a clean entrepreneurial segmentation here. Blitzscaling isn't for everybody. And I want you to talk about that because obviously the book's popular when this controversy, there's some controversy around the fact that you just can't apply blitzscaling to everything. We just talk about some of those factors. There are other entrepreneurialship models that makes sense but that might not be a fit for blitzscaling. Can you just unpack that and just explain, a minute to explain the difference between a company that's good for blitzscaling and one that isn't. >> Well, a key thing that you need for blitzscaling is one of these winner take most or winner take all markets that's just enormous and hugely valuable, alright? The whole thing about blitzscaling is it's very risky. It takes a lot of effort. It's very uncomfortable. So it's only worth doing when you have those market dynamics and when that market is really large. And so in the book we talk about there being many businesses that this doesn't apply to. And we use the example of two companies that were started at the same time. One company is Amazon, which is obviously a blitzscaling company and a dominant player and a great, great company. And the other is the French Laundry. In fact, Jeff Bezos started Amazon the same year that Thomas Keller started the French Laundry. And the French Laundry still serves just 60 people a day. But it's a great business. It's just a very different kind of business. >> It's a lifestyle or cash flow business and people call it a lifestyle business but mainly it's a cash flow or not a huge growing market. >> Yeah. >> Satisfies that need. What's the big learnings that you learned that was something different that you didn't know coming out of blitzscaling experience? Something that surprised you, something that might have shocked you, something that might have moved you. I mean you're well-read. You're smart. What was some learnings that you learned from the journey? >> Well, one of the things that was really interesting to me and I didn't really think about it. Reid and I come from the startup world, not the big company world. One of the things that surprised me is the receptivity of big companies to these ideas. And they explained it to me and they said, listen, you got to understand with a big company, you think it's just a big company growing at 10, 15% a year. But actually there's units that are growing at 100% a year. There's units that are declining at 50% a year. And figuring out how you can actually continue to grow new businesses quicker than your old businesses die is a huge thing for the big, established companies. So that was one of the things that really surprised me but I'm grateful that it appears that it's applicable. >> It's interesting. I had a lot of conversations with Michael Dell before, and before they went private and after they went private. He essentially was blitzscaling. >> Yeah. >> He said, I'm going to winner take most in the mature, somewhat declining massive IT enterprise spend against the HPs of the world, and he's doing it and VMware stock went to an all time high. So big companies can blitz scale. That's the learning. >> Exactly. And the key thing to remember there is one of the reasons why somebody like Michael Dell went private to do this is that blitzscaling is all about prioritizing speed over efficiency. Guess who doesn't like that? Wall street doesn't like because you're taking a hit to earnings as you invest in a new business. GM for example is investing heavily in autonomous vehicles and that investment is not yet delivering cash but it's something that's going to create a huge value for General Motors. And so it's really tough to do blitzscaling as a publicly traded company though there are examples. >> I know your partner in the book, Reid Hoffman as well as in the blitzscaling at Stanford was as visible in both LinkedIn and as the venture capitalist of Greylock. But also he was involved with some failed startups on the front end of LinkedIn. >> Yeah. >> So he had some scar tissue on social networking before it became big, I'll say on the knowledge graph that he's building, he built at LinkedIn. I'm sure he had some blitzscaling lessons. What did he bring to the table? Did he share anything in the classes or privately with you that you can share that might be helpful for people to know? >> Well, there's a huge number of lessons. Obviously we drew heavily on Reid's life for the book. But I think you touched on something that a lot of people don't know, which is that LinkedIn is not the first social network that Reid created. Actually during the dot-com boom Reid created a company called SocialNet that was one of the world's first social networks. And I actually was one of the few people in the world who signed up and was a member of SocialNet. I think I had the handle, net revolutionary on that if you can believe that. And one of the things that Reid learned from his SocialNet experience turned into one of his famous sayings, which is, if you're not embarrassed by your first product launch, you've launched too late. With SocialNet they spent so much time refining the product and trying to get it perfectly right. And then when they launched it, they discovered what everyone always discovers when they launch, which is the market wants something totally different. We had no idea what people really wanted. And they'd wasted all this time trying to perfect something that they've theoretically thought was what the market wanted but wasn't actually what the market wanted. >> This is what I love about Silicon Valley. You have these kind of stories 'cause that's essentially agile before agile came out. They're kind of rearranging the deck chairs trying to get the perfect crafted product in a world that was moving to more agility, less craftsmanship and although now it's coming back. Also I talked to Paul Martino, been on theCUBE before. He's a tribe with Pincus. And it's been those founding fathers around these industries. It's interesting how these waves, they start off, they don't get off the ground, but that doesn't mean the category's dead. It's just a timing issue. That's important in a lot of ventures, the timing piece. Talk about that dynamic. >> Absolutely. When it comes to timing, you think about blitzscaling. If you start blitzscaling, you prioritize speed over efficiency. The main question is, is it the right time. So Webvan could be taken as an example of blitzscaling. They were spending money wildly inefficiently to build up grocery delivery. Guess what? 2000 was not the right time for it. Now we come around, we see Instacart succeeding. We see other delivery services delivering some value. It just turns out that you have to get the timing right. >> And market conditions are critical and that's why blitzscaling can work when the conditions are right. Our days back in the podcast, it was, we were right but timing was off. And this brings up the question of the team. >> Yeah. >> You got to have the right team that can handle the blitzscaling culture. And you need the right investors. You've been on both sides of the table. Talk about that dynamic because I think this is probably one of the most important features because saying you going to do blitzscaling and then getting buy off but not true commitment from the investors because the whole idea is to plow money into the system. You mentioned Amazon, one of Jeff Bezos' tricks was, he always poured money back into his business. So this is a capital strategy, as well financial strategy capital-wise as well as a business trait. Talk about the importance of having that stomach and the culture of blitzscaling. >> Absolutely. And I think you hit on something very important when you sort of talk about the importance of the investors. So Reid likes to refer to investors as financing partners. Or financing co-founders, because really they're coming on with you and committing to the same journey that you're going on. And one of the things I often tell entrepreneurs is you really have to dig deep and make sure you do more due diligence on your investors than you would on your employees. Because if you think about it, if you hire an employee, you can actually fire them. If you take money from an investor, there's no way you can ever get rid of them. So my advice to entrepreneurs is always, well, figure out if they're going to be a good partner for you. And the best way to do that is to go find some of the entrepreneurs they backed who failed and talked to those people. >> 'Cause that's where the truth will come out. >> Well, that's right. >> We stood by them in tough times. >> Exactly. >> I think that's classic, that's perfect but this notion of having the strategies of the elements of the business model in concert, the financial strategy, the capital strategy with the business strategy and the people strategy, all got to be pumping that can't be really any conflict on that. That's the key point. >> That's right, there has to be alignment because again, you're trying to go as quickly as possible and if you're running a race car and you have things that are loose and rattling around, you're not going to make it across the finish line. >> You're pulling for a pit stop and the guys aren't ready to change the tires, (snapping fingers) you know you're out of sync. >> Bingo. >> Chris, great stuff. Blitzscaling is a great book. Check it out. I recommend it, remember blitz scale is not for anyone, it's for the game changers. And again, picking your investors is critical on this. So if you picked the wrong investors, blitzscaling will blow up in a bad way. So don't, don't, pick properly on the visa and pick your team. Chris, so let's talk about you real quick to end the segment and the last talk track. Talk about your background 'cause I think you have a fascinating background. I didn't know that you graduated when you're 19, from Stanford was it? >> Yes. >> Stanford at 19, that's a great accomplishment. You've been an entrepreneur. Take us through your journey. Give us a quick highlight of your career. >> So the quick highlight is I grew up in Southern California and Santa Monica where I graduated from Santa Monica High School along with other luminaries such as Rob Lowe, Robert Downey, Jr., and Sean Penn. I didn't go at the same time that they did. >> They didn't graduate when they were 17. >> They did not, (John laughing) and Charlie Sheen also attended Santa Monica High School but dropped out or was expelled. (laughing) Go figured. >> Okay. >> I came up to Stanford and I actually studied creative writing and product design. So I was really hitting both sides of the brain. You could see that really coming through in the rest of my career. And then at the time I graduated which was the mid-1990s that was when the internet was first opening up. I was convinced the internet was going to be huge and so I just went straight into the internet in 1995. And have been in the startup world ever since. >> Must love that show, Halt and Catch Fire a series which I love reminiscing. >> AMC great show. >> Just watching that my life right before my eyes. Us old folks. Talk about your investment. You are at Wasabi Ventures now. Blitzscaling Ventures. You guys looks like you're going to do a little combination bring capital around blitzscaling, advising. What's Blitzscaling Ventures? Give a quick commercial. >> So the best way to think about it is for the entrepreneurs who are actually are blitzscaling, the question is how are you going to get the help you need to figure out how to steer around the corners to avoid the pitfalls that can occur as you're growing rapidly. And Blitzscaling Ventures is all about that. So obviously I bring a wealth of experience, both my own experience as well as everything I learned from putting this book together. And the whole goal of Blitzscaling Ventures is to find those entrepreneurs who have those blitzscalable opportunities and help them navigate through the process. >> And of course being a Mental Samurai that you are, the clock is really important on blitzscaling. >> There are actually are a lot of similarities between the startup world and Mental Samurai. Being able to perform under pressure, being able to move as quickly as possible yet still be accurate. The one difference of course is in our startup world you often do make mistakes. And you have a chance to recover from them. But in Mental Samurai you have to be perfect. >> Speed, alignment, resource management, capital deployment, management team, investors, all critical factors in blitzscaling. Kind of like entrepreneurial going to next level. A whole nother lesson, whole nother battlefields. Really the capital markets are flush with cash. Post round B so if you can certainly get altitude there's a ton of capital. >> Yeah. And the key is that capital is necessary for blitzscaling but it's not sufficient. You have to take that financial capital and you have to figure out how to combine it with the human capital to actually transform the business in the industry. >> Of course I know you've got to catch a plane. Thanks for coming by in the studio. Congratulations on the Mental Samurai. Great show. I'm looking forward to April 30th. Tuesdays at 9 o'clock, the Mental Samurai. Chris will be an inaugural contestant. We'll see how he does. He's tight-lipped, he's not breaking his disclosure. >> I've got legal requirements. I can't say anything. >> Just say he's sticking to his words. He's a man of his words. Chris, great to see you. Venture capitalist, entrepreneur, kind of venture you want to talk to Chris Yeh, co-founder, general partner of blitzscaling. I'm John Furrier for theCUBE. Thanks for watching. (upbeat music)

(upbeat music) >> Welcome to this special Cube Conversation. We're here in Palo Alto, California with a special guest. Dialing in remotely Paul Martino, the founder of Bullpen Capital and also the producer of an upcoming film called The Inside Game. It's a story about a true story about an NBA betting scandal. It's really, it's got everything you want to know. It's got sports, it's got gambling, it's got fixing of games. Paul Martino, known for being a serial entrepreneur and then an investor, investing in some great growth companies, and now running his own firm called Bullpen Capital, which bets on high-growth companies and takes them to the next level. Paul, great to see you. Thanks for spending the time. Good to see you again. >> John, always good to see you. Thanks for having me on the show. >> So, you're a unique individual. You're a computer science whiz, investor, entrepreneur, now film producer. This story kind of crosses over your interests. Obviously in Philly, you're kind of like me, kind of a blue collar kind of guy. You know hot starters when you see it. You also were an investor in a lot of the sports, gambling, betting, kind of online games, we've talked about in the past. But now you're crossing over into filming movies. Which is, seems like very cool and obviously we're living in a date of digital media where code is software, code is content, obviously we believe that. What's this movie all about? All the buzz is out there, Inside Game. You get it on sports radio all the time. Give us the scoop. Why Inside Game? What's it about? Give us the 411. >> Yeah, so John, I mean, this is a story that picked me. My producing partner in this is a guy named Michael Pierce who made a bunch of great movies, including The Cooler, one of the best gambling movies, with William H Macy. And he says sometimes the movie picks you and sometimes you pick the movie. And I wasn't sitting around one day going wow I want to be a movie producer, it was just much more that my cousin is the principal in the story. My cousin was the go-between between the gambler and the referee. The three of them were friends ever since they were kids. And when they all got out of jail Tommy called me, Tommy Martino. He said hey Paulie, you're about the only legitimate business guy I know. Could you help me with my life rights? And that's how this started almost six years ago. >> And what progressed next? You sat down, had a couple cocktails, beers, said okay here's how we're going to structure it. Was it more brainstorming and then it kind of went from there? Take us through that progression. >> It was a pure intellectual property exercise, and this is where being a startup guy was helpful. I was like, Tommy, I'll buy your life rights. Maybe we'll get a script written, we'll put it on the shelf, so that if anybody ever wants to make this story they have to go through us. Almost like a blocking patent or a copyright. And he's like okay cool. And so I said I have no delusions of ever making this movie. I actually don't know that, I don't know anybody to make a movie. This is not my skill set. But if anybody ever wants to make the movie, they're going to have to come deal with us. And then the lucky break happens, like anything in a startup. I have this random meeting with a guy named Michael Pierce, who was at a firm called WPS Challenger out of London. And we're down in Hillstone in Santa Monica, and I say to him, I say I've got this script written about this NBA betting scandal, would you do me a favor? He literally laughs in my face. He goes a venture guy from Silicon Valley is going to hand me a script. What a bad, anyway, I was like look dude, I'm a good guy to have owe you a favor so just read this dang thing. About 8 hours later my phone rings, he says who the hell is Andy Callahan? This is the best script I've ever read in my entire life. Let's go make a movie. Andy Callahan was a friend of a friend from high school who wrote the script. He actually once beat Kobe Bryant when he was a center at Haverford when Kobe Bryant played at Lower Merion here in the Philly suburbs. So, it's kind of this local Philly story. I'm a local Philly blue collar guy, we put the pieces together, and I'll be danged and now six years later the film is in the can and you're probably going to see it during the NBA finals this year in June. >> All right, so there's some news out there it's on the cover on ESPN Magazine, the site is now launched. I've been hearing buzz all morning on this in the sports radio world. A lot of buzz, a lot of organic virality around it. Reminds of the Crazy, Rich Asians, which kind of started organically, similar kind of community behind it. This has really got some legs to it. Give us some taste of what's some of the latest organic growth here around the buzz. >> Yeah so, think about this. This happened in, primarily '06 and '07. They were sentenced in 2010 and were in jail in 2011. It is 2019 and the front page story on ESPN is What Tim, Tommy, and Jimmy Battista Did. Those were the three guys, the gambler, the ref, and the go-between. And this is a front page story on ESPN all these years later. So we know this story has tremendous legs. We know this movie has a tremendous built-in audience. And so now it's just our job to leverage all those marketing channels, places we pioneered, like Zynga and FanDuel to get people who care about the story into the theaters. And we're hoping we can really show people how to do a modern way to market a film using those channels we've pioneered at places like FanDuel and Zynga. >> You and I have had many conversations privately and here on the Cube in the past around startups disruption, and it's the same pattern right? No one thinks it's a great idea, you get the rights to it, and you kind of got to find that inflection point, that magical moment which comes through networking and just hard work and hustle. And then you've got everything comes together. And then it comes together. And then it grows. As the world changes, you're seeing digital completely change the game on Hollywood. For instance, Netflix, you've got Prime, you've got Hulu. This is, essentially, a democratization, I'm not saying, well first of all you've made some money so you had some dough to put into it, but here's a script from a friend. You guys put it together. This is now the new startup model going to Hollywood. Talk about that dynamic, what's your vision there? Because this, I think, is an important signal in how digital content, whether it's guys in the Cube doing stuff or Cube Studios, which we'll, we have a vision for. This is something that's real. Talk about the dynamic. How do you see the entrepeneurial vision around how movies are made, how content's made, and then, ultimately, how they're merchandised in the future. >> Right, there's a whole, there's a whole bunch of buckets. There's the intellectual property bucket of the story, the script, etc. Then there's the bucket of getting the movie made. You know, that's the on the set and that's the director and that's post-production, and then there's the marketing. And what was really interesting is even though I'd never made a movie, two of those three buckets I knew a tremendous amount about from my experience as a startup investor. The marketing and the IP side I understood almost completely, even though I'd never made a film. And so all of the disruptive technologies that we learn for doing disruptive things like marketing a new thing called Daily Fantasy Sports, we were able to bring to bear to this film. Now, I had fun on the set and meeting all the actors, etc. But I had no delusion that I knew about the making of the movie part. So I plead ignorance there, but of the three buckets that you need to go make something in the media space 66% of what I knew as a startup guy overlapped and I think this is what the future of the media is. Because guys like me and you, John, we actually know a lot about this because we're startup people as opposed to we have to learn about it in terms of how to market and how to get an audience. I mean, my last company Aggregate Knowledge designs custom audiences for ad targeting. So we know how to find gamblers to go see this movie. That's literally the company I started. And so that's a thing that I'm very, very comfortable with and it's exciting to then work with the producer who did the creative and the director and I say hey guys, I've got this marketing thing under control, I know how to do it, oh by the way, the old Head of Marketing from FanDuel, he's a consultant to the project. Right, so, we got that. >> You got that, and the movie's being made. That's also again, back to entrepreneurship, risk. You got to take risks, right? This is all about risk management at the end of the day and you know, navigating as the lead entrepreneur, getting it done, there's heavy lifting and costs involved in making the movie, >> Right >> How did you, that's like production, right? You got to build a product. That is ultimately the product when it has to get to market. How did that go, what's your thoughts on your first time running a movie like this, from a production standpoint, learnings, observations? >> I learned a tremendous amount. I must admit, I was along for the ride on that piece of the puddle, puzzle. The product development piece of this was all new to me. But then again, I mean think about it, John, I started four companies, a social network, an ad targeting company, a game company, and a security company. I didn't know anything about those four companies when I started them either in terms of what the product needed to do. So learning a new product called make a movie was kind of par for the course, even though I didn't really know anything about it. You know, if you're going to be a startup person you got to have no fear. That's the real attribute you need to have in these kinds of situations. >> So I got to >> And so, witnessed that first-hand and, you know what, now, if I ever make a movie again I kind of know how to make that product. >> Yeah, well looking forward. You've got great instincts as an entrepreneur. I love hanging out with you. I got to ask you a question. I talk to a lot of young people, my son and his friends and I see people coming out of business school, all this stuff. You know, every college has an entrepreneurial program. Music, film, you know, whatever, they all have kind of bolted on entrepreneurship. You're essentially breaking down that kind of dogma of that you have to have a discipline. Anyone can do this, right? So talk about the folks that are out there, trying to be entrepreneurial, whether you're a musician. This is direct to consumer. If you have skills as an entrepreneur it translates. Talk about what it takes to be an entrepreneur, if you're a musician or someone who has, say, content rights or has content story. What do they do? What's your advice? >> We have lived through, perhaps the most awesome period of the last five to 10 years, where it got cheap to do a startup. You know, when we're doing our first startups 20 years ago, it cost 5 million bucks to go get a license from Oracle and go hire a DBA and do all that stuff. You know what, for 5 grand you can get your website up, you can build, you can use your iPhone, you can film your movie. That's all happened in the last five to 10 years. And what it's done is exactly the word you used. It's democratized who can become an entrepreneur. Now people who never thought entrepreneurship was for them, are able to do it. One of our great examples of this is Ipsy, our cosmetics company. You know, Michelle Phan was a cocktail waitress working in Florida, but she had this YouTube following around watching her videos of her putting her makeup on. And you know when we met her, we're like you know what? You're the next generation of what entrepreneurs look like. Because no, she didn't go to Stanford. She didn't have a PhD in computer science, but she knew what this next generation of content marketing was going to look like. She knew what it was to be a celebrity influencer. You know, that company Ipsy makes hundreds of millions of dollars every year now, and I don't think most people on Sand Hill would've necessarily given Michelle the chance because she didn't look like what the traditional entrepreneur looked like. So it's so cool we live in a time where you don't need to look like what you think an entrepreneur needs to look like or went to the school you had to think you'd go to to become an entrepreneur. It's open to everybody now. >> And the key to success, you know, again, we've talked about those privately all the time when we meet, but I want to get your comment on the record here. But I mean, there's some basic blocking and tackling that's independent of where you went to school that's being creative, networking, networking, networking, you know, and being, good hustle. And being, obviously good judgment and being smart. Do your thoughts on the keys to success for as those folks saying hey you know I didn't have to go to these big, fancy schools. I want to go out there. I want to test my idea. I want to go push the envelope. I want to go for it. What's the tried and true formula from your perspective? >> So when you're in the early stage of hustling and you want to figure out if you're good at being an entrepreneur, I tell entrepreneurs this all the time. Every meeting is a job interview. Now, you might not think it's a job interview, but you want to think about every meeting, this might be the next person I start my company with. This might be the person I end up hiring to go run something at my company. This might be the person I end up getting money for, from to start my company. And so show up, have some skills, have some passion, have a vision, and impress the person on the other side of the table. Every once in a while I get invited to a college and they're like well Paul, life's easy for you, you started a company with Mark Pinkus and you're friend with Reid Hoffman and this... Well how the hell do you think I met those people? I did the same thing I'm telling you to do. When I was nobody coming out of school, I went and did stuff for these guys. I helped them with a business plan. I wrote the code of Tribe, and then now all of the sudden we've got a whole network of people you can go to. Well, that didn't happen by accident. You had to show up and have some skills, talent, and passion and then impress the person on the other side of the table. >> Yeah >> And guess what? If you do that enough times in a row, you're going to end up having your own network. And then you're going to have kids come in and say, wow, how can I impress you? >> Be authentic, be genuine, hustle, do networking, do the job interview, great stuff. All right, back to final point I want to get your thoughts on because I think this is your success and getting this movie out of the gate. Everyone, first, everyone should go see Inside Game. Insidegamemovie.com is the URL. The site just went up. This should be a great movie. I'm looking forward to it, and knowing the work that went in, I followed your journey on this. It should be great. I'm looking forward to seeing it. Uh, digital media, um, your thoughts because we're seeing a direct to consumer model. You've got the big companies, YouTube, Amazon, others. There's kind of a, a huge distribution of those guys. The classic Web 2.0 search kind of paradigm and portal. But now you've got a whole 'nother set of distribution or network effects. Your thoughts, because you were involved in, again, social networking before it became the monster that it is now. How is digital media changing? What's your vision of how that's happening and how does someone jump on that wave and be successful? >> Yeah, we're in the midst of disruption. I mean, I'm in the discussions and final negotiations right now on how we're going to end up ultimately doing the film distribution. And I am very disappointed with the quality of the thinking of the people on the other side of the table. Because they come from very traditional backgrounds. And I'm talking to them about, I want to do a site takeover across Zynga. I want to do a digital download on FanDuel of a 20 minute clip of the film. And they're like what's FanDuel? Who's Zynga? And I'm sitting there, I'm like guys, this is the new media. Oh, by the way, there's a sports app called Wave and Wave is where the local influencers in the markets who want to write the stories are, and we want to do a deal with those guys. And oh, by the way, the CEO of that company is a buddy of mine I met years ago, right? One of those kids I gave advice to, and now I'm going to ask him for a favor from, right, that's how it works. But, it's amazing when you have these conversations with traditional old line media companies. They don't understand any of the words coming out of your mouth. They're like Paul, here's how much I'll give you for your film. Thank you, we'll go market it. I'm like, really? Seriously? I got the former CMO of FanDuel going to help out on this. You don't want to talk to him? >> Yeah >> And so this is where the industry is really ripe for disruption. Because the people from the startup world have already disrupted the apple cart and now we've just got to demonstrate that this model is going to continue to work for the future and be ready when the next new kind of digital transmedia thing comes along and embrace that, as opposed to be scared to death of it or not even know how to talk the language of the people on it. >> Well, you're doing some amazing venturing in your, kind of, unique venture capital model on Bullpen Capital. Certainly isn't your classic venture capital thing, so I'm sure people are going to be talking to you about oh, Paul, are all VCs going to be doing movies? I'm sure that's a narrative that's out there. But you're not just a normal venture capital. You certainly invest. So, venture capitals have reputation issues right now. People talk about, well, you know, they're group think. You know, they only invest in who they see themselves. You mentioned that comment there. The world's changing in venture. Your thoughts on that, how you guys started your firm, and your evolution of venture capital. And is this a sign that you'll see venture capitalists go into movies? >> Well, I don't know about that part. There have been a couple venture people who have done movies. But the part I will talk about is the you got to know somebody, it's an inside game, ha ha, we'll play double entendre on Inside Game here. You know, 20% of the deal we've done at Bullpen, we've done over 100. 20% of them were cold emails on something like LinkedIn or business plans at bullpen.com. 20%, now there's this old trope in venture if you don't get a warm intro I won't even talk to you. Well 20% of our deals came in and we had no idea who the person on the other side was. That's how we run the firm. And so if you're out there going I'm one of those entrepreneurs in the Midwest and no one, I don't know anyone. I'm not in a network, send me a plan. I'm someone who's going to look at it. It doesn't mean I'm going to be an investor, but you know what I'm going to do? I'm going to give you a shot. And I don't care where you're from or what school you went to or what social clique you're in or what your political persuasion is. Matter of fact, I literally don't care. I'm going to give you a shot. Come into my office and that, I think, is what was missing in a lot of firms, where it's a we only do security and we only look at companies that spun out of Berkeley and Stanford. And yeah, there can be an old boys network in that. But you know what, we like to talk to everybody. And the more blue collar the CEO is, the more we love them at Bullpen. >> That's awesome. Talk about the movie real quick on terms of how Hollywood's handling it. Um, expectations, in terms of reaction, was it positive, is it positive, what's the vibe going on in Hollywood, is this going to be a grassroots kind of thing around the FanDuels and your channels? What's your plan for that and what's the reaction of Hollywood? >> So it's going to be a lot of all of the above. But PR is going to be a huge component, I mean, part of the reason we're on today is there's a huge front page story on ESPN about Tim Donaghy and the NBA betting scandal of 2007. And so the earned media is going to be a huge component of this. And I think this is where the Hollywood people do understand the language we're speaking. We're like, look, we have a huge built-in audience that we know how to market to. We have a story. Actually, in the early days, you asked about risk? Back when I was thinking about if I would do this project I would do the following little market research. I'd walk into a sports bar, it didn't matter what town I was in. I could be in Dallas, I could be in Houston, I could be in Boston. I would literally walk up to the bar and say, hey, uh, six of you at the bar, ever hear of Tim Donaghy? It'd be amazing. About seven out of 10 people would go yeah he was the referee, crooked referee in the NBA. I'm like, this is amazing. Seven out of 10 people I meet in a bar know about the story I want to go tell. That sounds like a good chance to make a movie, as opposed to a movie that has no built-in audience. And so, a built-in audience with PR channels that we know work, I think we can really show Hollywood how to do this in a different way if this all works. >> And this comes back to my point around built-in audiences. You know, YouTube has got a million subscribers. That's kind of an old metric. That means they, like an RSS feed kind of model. That's a million people that are, could be, amplifying their network connections. It is a massive built-in audience. The iteration, the DevOps kind of mindset, we talk about cloud computing, can be applied to movies. It's agile movie making. That's what you're talking about. >> Yeah, and by the way, so we have a social network of all the actors and people in the film. So when it's ready, let's go activate our network of all the actors that are in the film. Each of them have a couple million followers. So let's go be smart. Let's, two weeks before the movie, let's send some screenshots. A week before the movie let's show some exclusive videos. Two days before the film, go see it, it's now out in the theaters. You know what, that's pretty, that's 101. We've got actors. We've got producers. Like, let's go use the influencer network we built that actually got the movie made. Let's go on Sports Talk, talk about the movie. Let's go on places like this and talk about how a venture guy made a movie. This is the confluence of all of the pieces all coming together at once. And I just don't think enough people in the film business or in the media business think big enough about going after these audiences. It's oh, we're going to take ads out on TV and I'm going to see my trailer and we're going to do this and that's how we do it. There's so many better ways to get your audience now. >> And this is going to change, just while I've got you here, it's just awesome, awesome conversation. Bringing it back to kind of the CMO in big companies, whether it's consumer or B to B or whatever, movies, the old model of here's our channels. There's certainly this earned media kind of formula and it's not your classic we've got a website, we're going to do all this instrumentation, it's a whole 'nother mechanism. So talk about, in your opinion, the importance of earned media, vis a vis the old other buckets. Owned media, paid media, well-defined Web 1.0, Web 2.0 tactics, earned media is not just how good is our PR? It's actually infrastructure channels, it's networks, a new kind of way to do things. How relevant and how important will this be going forward? Because there's no more website. It's a, you're basically building a media company for this movie. >> That is exactly right. We're building an ad hoc media business. I think this is what the next generation of digital agencies are going to look like. And there are some agencies that we've talked to that really understand all of what you've just said. They are few and far between, unfortunately. >> Yeah, well, Paul, this was theCube. We love talking to people, making it happen. Again, our model's the same as yours. We're open to anyone who's got signal, and you certainly are doing a great job and great to know you and follow your entrepreneur journey, your investment journey, and now your film making journey. Paul Martino, General Pen on Bullpen Capital, with the hot film Inside Game. I'm definitely going to see it. It should be really strong and it's going to be one of those movies like Crazy, Rich Asians, where not looking, not really well produced, I mean not predicted to be great and then goes game buster so I think this is going to be one of those examples. Paul, thanks for coming on. >> Love it, thank you! >> This Cube Conversation, I'm John Furrier here in Palo Alto, California, bringing ya all the action. Venture capitalist turned film maker Paul Martino with the movie Inside Game. I'm John Furrier, thanks for watching. (triumphant music)