(upbeat music) >> Thanks Adam from the studio. Dave, with the next interview, I had a great chance to sit down with Pete, from Microsoft Azure. Talk about 5G and all the advances in the innovation around Silicon and what's coming around under the hood. Obviously Microsoft big hyperscaler, top three cloud player. Let's hear from Pete my conversation and we'll come right back. (upbeat music) Well, we'll come back to the cubes coverage of Mobile World Congress 2021, we're onsite in-person and virtual. It's a hybrid event this year. It's in-person for the first time, since the winter of 2019 lots been passed, a lot's happened and theCube's got to cover it. Our next guest is Pete Bernard, senior director, Silicon and telecom at Azure edge devices, platform and services at Microsoft. Pete, thanks for coming on theCube for our remote coverage. Thanks for coming on. We'll be there live and as well as with the remote community. Thanks for coming on. >> Yeah, no, that's great to be here. I'm coming here from sunny Bellevue, Washington. I wish a wish I was going to be in Barcelona this year, but like, as you mentioned, I think the last time I was in Barcelona was 2019. So a lot has happened since then. Right? >> Well, let's get into it. First of all, we'll see you on the interwebs and the community, but let, let's get the content storyline after the number one story at mobile world. Congress is the rise of the modern developer overlay on top of this new infrastructure, 5g, what is the edge, super edge, AI edge, whatever we want to call it. It is an enabler. Okay. And it's also leveraging the assets of, of these telecom infrastructures and certainly the pandemic we've had great success, nothing crashed. It saved us. So what's your, what's your view on this? This is the big story. It's the most important story? What's your take? >> Yeah, I mean, as I mentioned, a lot has happened and there's been a lot of advancements in this area and I think, you know, the part of what's happened with the pandemic is companies have really accelerated their strategies in this area. In terms of, you know, we have tons of commercial customers that are trying to solve really difficult problems using AI and edge and, and 5g now. So the demand is tremendous and the technology has really advanced quite a bit. And you know, we're, my team is specifically focused on sort of the intersection of 5g edge and AI, and it's sort of bringing together these kinds of existing credible technology advances and it's unlocking some amazing new scenarios and business models for, for customers and partners. For sure. >> So let's get it under the hood a little bit and talk about some of the technical issues. Obviously 5g is enabling a lot of commercial benefits cloud providers like Microsoft Azure is having great edge capabilities now with, with bringing the cloud to the edge, which opens up the obvious gamers Mehta versus AI, AR VR kind of things, low latency, applications, cars, and all that good stuff, all the data coming in and then new use cases. So it's a data problem. It's a typology challenge. It's a new architecture, unpack that for us. What, where are we in this? So. >> So I mean, as you mentioned, I mean, it was kind of an infinite set of problems to be solved. And one of the things that we found was that there was actually a lot of friction out there. It's almost like so many different partners and typologies and ways to put things together. Quite often, we get with a commercial customer and they're like, look, we just need to solve this particular problem in retail or healthcare energy. And so one of the things that we introduced as part of our kind of Azure portfolio is something called Azure percept, which is an end to end system for edge AI development and deployment that now works over 5g and L PWA as well. And so a lot of what we're trying to do as a platform company is help customers and partners kind of expedite and speed that development and deployment of solutions. Because like I said, there's no shortage of demand, but they're quite complex. And as you mentioned, you could have, you know, on-prem solutions, you could have hybrid solutions that talk to on-prem hardware and then go to the cloud. You can go direct to the cloud. But the question is like, how do you put these things together in a secure way? And it get an ROI quickly out of your edge AI deployments. And that's been kind of an interesting challenge. And I think when I talked to a lot of partners, telco partners, especially Silicon partners, were all struggling with how do we expedite, expedite? Because you know, the sooner we can get people to deploy and solve their problems, obviously, you know, the sooner they're happy, the sooner we all get paid. Right? And so that's one of the things we have to be careful of is with all the new technology, how do we really sort of titrate down to, you know, what does it take to actually get things from a POC to deployment as quickly as possible? >> And one of the big things is happening is not seeing the developer ecosystem is coming hardcore into the telco cloud, whatever you want to call it. And it's interesting, you know, the word operators is used a lot, the carriers, the operators, you don't hear that in it and say, you don't say that's the operator, the operators writes it department. So you have cloud native and this operating cultures coming together, dev ops dev sec ops coming to what is a carrier grade operating model, which is like a steady build solid foundation. That's what they expect. So you kind of have this classic OT it collision. And this has been talked about in the edge. What's different though, because now you've got to move faster. You got to have a lot of it like cloud scale with automation and AI at the same time I need full Bulletproof operations. Yeah. >> And so it's, you know, we're trying to expose a consistent developer fabric, you know, to our community. I mean, Microsoft's got millions of developers around the world using lots of, lots of tool, tool chains, and frameworks. And we want to sort of harness the power of that whole developer community to bring workloads and applications onto the telco network, right. In, in environments that they're familiar with. And we're seeing also sort of, you mentioned sort of colliding worlds in the edge world. There's kind of traditional embedded developers that are building cameras and devices and gateways. And then there's a lot of data science, AI developers as well. And what we're trying to do is sort of help both communities sort of learn these skills so that, you know, you have developers that are enabled to do, you know, AI workloads and scenarios and all of the business logic around those things and develop it in an environment, whether it's cloud-based or edge based that they're familiar with. And, you know, so therefore a lot of the complexities of the teleco network itself get sort of obfuscated or abstracted for them. So the developer doesn't have to become a telco expert, right. To build a 5g based camera system for their retail stores. Right. And so that's, that's exciting when we start to merge some of these communities together. >> Yeah. So what would be your message to the operators this year? I mean, obviously the edge is not something you need to educate people on, but they are trying to figure out how to, you know, swap the engine of the airplane out at 35,000 feet, as I say, they got, they want to innovate and this year what's your message. Yeah. >> I mean, there's kind of two things going on. One is yes. I think we're, we are deeply involved helping telcos Cloudify their network and take advantage of 5g and virtualization. And, you know, we have recent acquisitions as a metal switching affirmed and hold that whole thing. So that's, that's that chunk of work that's ongoing. I think the other thing that's happening is really thinking about telcos. We're seeing as a hunger for solutions. And so telcos thinking of themselves as solution providers, not just connectivity providers and, you know, getting into that mindset of saying, we're going to come in and work with this city or this, you know, big retailer and we're going to help solve the problems for them. And we love working with partners like that, that are actually delivering solutions as opposed to pieces of technology. >> What solutions do you think Pete are showing the most promise for helping the telco industry digitally transformed? >> Well, I think on the NGI space, there's a couple of big verticals. I mean, you know, obviously places like agriculture are huge, you know, where you need a wide deployments. We're seeing a lot of areas in around retail, you know, retail environments when I would have leveraged like low latency 5g. One of the pieces of feedback we heard was a lot of retailers actually want less hardware in their physical store and they want to leverage 5g more to get back to the cloud. And then we're seeing, you know, energy sectors, you know, and mining and other kind of difficult to reach areas where you can leverage ciliary networks. So a lot of these verticals are, you know, turning onto the fact that they could get some of their conductivity and edge AI solutions combined together and do some amazing things. >> Right. You just made me think of a question while I got you. I got to ask this because you know, you've brought up 5g and back haul, you know, and people in the, in this business always know backhaul is always the problem. We all know we've been to a concert or a game where we've got multiple bars on wifi, but nothing's loading. Right. So we all know, right. We've seen that that's back haul. That's a choke point. If 5g is going to give me more back haul to essentially another exchange, how has the core of the internet evolved? Because as I started poking around and research and there's more direct connects now, there's not many exchanges. It used to be, we had my west and my east, those are now gone. I'm like, what's going on in the backbone? Does that simple? Is it better or worse? Is that still a good thing? >> Well, yeah. One of the exciting things around kind of the virtualization of what's going on with networking is that we're able to partner with telcos to sort of extend the Azure footprint to help with some of those congestion points, right? So we can, we can bring heavy edge equipment, pretty darn close to where the action is, and actually have direct connections into teleco networks to help them sort of expand their footprint, you know, even farther out to the edge and they can leverage our hyperscaler to, to do that. So that that's a benefit of one of the architectural improvements of 5G around virtualization. >> That's awesome. And I'm looking forward to following up on that great point. And I think it's, it sells a digital divide problem. That's been going on for over a decade, 15, 20 years, this digital divide. Now you got city revitalizations going on. You have, I mean, just the, just the, the digital revitalization in global communities is everywhere. And I think, I think this is going to be an influx point. That's not yet written about in the press now, but I think it's going to be very clear. So, so with all that, I got to ask you the importance of how you guys see an ecosystem for this transformation, because it used to be the telcos ruled the world, and now it's not going that way. They still have a footprint. I mean, everyone, the rising tide helps everybody, as they say, what's the importance of a strong ecosystem in order to drive this nutrient? >> Well, you know, it's definitely a team sport. It's definitely a team sport. And, and you know, Microsoft's been a big partner company for decades, and I think it's something like $8, a part of revenue for every dollar of revenue from the Microsoft generate. So we're heavily invested in our device, builder partners, our telco partners, the ISV community. And, you know, I think what we're trying to do is work with telcos to sort of bring those communities together, to solve these kinds of problems that customers are having. So yeah, it's definitely a team sport. And like I said, the new entrance with some really innovative software platforms, it's an opportunity for telcos, I think, to sort of reinvent and to kind of rethink about how they want to be more agile and more competitive. Again, this will be businesses. >> Okay, great. And have you on, I got it. I got ask you, we've talked about the most important story, obviously 5g edge in AI. I think you nailed it. You're you're in this cross hairs of probably one of the most exciting areas in the tech industry as distributed computing goes that last mile, so to speak pun intended, what, but what's, in your opinion, the most important story that not many people are talking about that should be talking about, what do you think is something that's being written about, but to talk about, but it's super important that that needs to be true. >> Well, you know, it's interesting. I mean, a lot of the marketing and talk about 5g is around phones, people talking about their speed on phones. And I think we're finally getting past the discussion of 5g on phones and talking about 5g for like more MTM communications and more, more kind of connecting really trillions of things together. And then that enabled me to is going to be a big, big deal moving forward. And I think that's, we'll start to see probably more coverage of that moving forward. We're on the inside of the industry. So we kind of know it, but I think on the outside of the industry, when people think 5g, they still think phones. And then hopefully that becomes, there's more of a story around all the other pieces being connected with 5g. >> Yeah. And I got to ask you about two quick things before we go open source, openness, interoperability, and security. What, how would you, what's your opinion on those two pillars? >> So I think security is kind of foundational for what we're we've been doing at Microsoft for a long time, whether it's Azure sphere that we're doing for end to end, you know, edge security or any of our security offerings that we have from services perspective. So we're trying to like with Azure percept, we actually build in like TPM encryption of AI models from edge to cloud, as an example of that. So security really is foundational to all of the stuff that we need to do. It cannot be something that you do later or add on it has to be designed in. And I think from an open source perspective, I mean, whether it's our, you know, stewardship of GitHub or the involvement in open source communities, you know, we're, we're totally excited about all the innovation that's happening there and you know, you got to let people participate. And in fact, one of the cool things that's been happening is the amount of developer reach in areas where maybe there isn't, you know, like we've had our build conferences and other Microsoft events. It enables everyone to participate virtually no matter where they are in the world, even if they can't get a ticket to Redmond Washington, and you can still be part of the developer community and learn online and be part of that. >> I think this whole embed developer market's going to come back in and massive volumes of new people as Silicon becomes important. And of course, I can't leave you without asking the Silicon angle question for our team. Silicon is becoming a competitive advantage for whether it's acceleration, offload and or core things, whether it's instance related or use case related, what's the future of Silicon and the telecom and cloud in general. >> For mine. Yeah. So I mean, the advances happening in the Silicon space are fantastic. Whether it's like process advances down to like five nanometers and below. So you're talking about, you know, much lower power consumption, much higher density, you know, packaging and, you know, AI acceleration built in as well as all these other, you know, containerized security things. So that's being driven by a lot by consumer markets, right? So more powerful PCs and phones. And that's also translating into the cloud and for some of the heavy infrastructure. So the leaps and bounds we're seeing even between now and the last MWC in person in 2019 in Silicon has been amazing. And that's going to unblock, you know, all kinds of workloads that could be done at the edge as well as incredible high-performance stuff to be done in the cloud. That's pretty exciting. >> Peter Love that word unblocked, because I think it's going to unblock them that big, you know, rock in the river. It's holding the water back. I think it's going to unleash creativity, innovation, computer science engineering down from Silicon to the modern application developer. Amazing opportunity. I think the edge is going to be the, an awesome area to innovate on. Thanks for coming on the cube. >> Sounds good. Thanks for having me. >> People in our senior director, silica telecom as your edge devices for platform services at Microsoft, a lot going on big cloud player, hyperscaler at the edge. This is the final area. In my opinion, that's called the accident habits going to be great innovation. It's part of the cloud cloud is creating massive change in telecom. We've got to cover here in the queue. Thanks for watching. Okay, Dave, that was a great interview with Pete Bernard, senior director, Silicon telecom, Azure edge devices, platform, and services. Microsoft's got all those long titles in the, in the thing, but Silicon is a key thing. You heard my interview wide ranging conversation, obviously with that kind of pedigree and expertise. He's pretty strong, but he, at the end there a little gym on the Silicon. Yeah. Okay. Because that is going to be a power source. You you've been reporting on this. You've been doing a lot of breaking analysis. Microsoft's a hyperscaler they're they're the second player in cloud, Amazon. Number one, Microsoft number two, Google number three, Microsoft. They didn't really say anything. They have something Amazon has got grab a ton, but big directional signal shift there. >> Well, I think it was interesting. It was a great interview by the way, and the things that struck me pizza, and they're focused on the intersection of 5g edge and AI. So AI is all about data-driven workloads. If you look at AI today, most of the AI in the enterprise is done in the cloud and it's modeling, but the future of AI is going to be inferencing at the edge in real time. That's where the real expenses today. And that's where you need new computing architectures. And you're right. I've written about this one of my last breaking analysis on AWS, a secret weapon, and that secret weapon is a new computing architecture. That's not based on traditional x86 architectures. It's based on their own design, but based on arm, because arm is higher performance, lower cost, better price, performance, and way cheaper. And so I guarantee you based on what you just said that, well, Amazon clearly has set the direction with nitro and graviton and, and, and, you know, gravitate on to Microsoft is I think following that playbook. And it's interesting that Pete has Silicon in his title and telecom and an edge they're going after that because it doesn't require new low powered architectures that are going to blow away anything we've ever seen on x86. >> Yeah. I mean, I think that's a killer point. You and I have been covering the enterprise, the old guard rack and stack the boxes. Amazon was early on that clearly winning low power, high density looks like a consumer, like feel in cloud scale, changes the game on economics. And then he also teased out if you squint, there's a lot of stuff to decode. We're going to unpack that video and write probably six or five blog posts there, but he said, 5g is going to change the direct connect. They're already doing it. Microsoft's putting that to the edge, that right in the same playbook as AWS, right on the almost right on the number, put the edge, make it powerful, direct connects connectivity. >> We've seen this before. The consumer piece is key. The consumer leads, we know this and the consumer apple is leading in things like AI and, and Tesla is leading at the edge. That's where you have to look for the innovation. That's going to trickle into the enterprise. And so in the cloud guys, I kicked the hyperscale. You and Sergeant Joe Hall talked about this at the startup showcase that we did was that the cloud guys, the hyperscalers, and a really strong position for the edge. >> I got to tell you, we are on this go to the siliconangle.com. Obviously that's our website, the cube.net. We are reporting on this. It's very nuanced point. But if you look at the cloud players, you can see the telco digital revolution telco. Dr. Is a digital revolution back to you, Adam, in the studio for more coverage, we'll be back at the desk shortly.

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Welcome back everyone to the cubes live coverage of Microsoft ignite. I'm your host, Rebecca Knight, along with my co host to minimun. We are doing joined by Donna Sarkar. She is the advocate lead Microsoft power platform at Microsoft. Thank you so much for coming on the show. Thank you very much for having me. Tai cube land. So tell us a little bit about power platform. It's something we're hearing some buzz about, but we still need the overview. What is it all about? All right, so for years, decades we in the tech industry, you have been on this mission where we say everyone in the world can benefit from learning to code, right? Uh, whether you're a farmer and accountant, a teacher, a lawyer, a doctor, some sort of code will help you do your job better and you'll be able to automate away boring tasks and make apps and websites to solve your business problems. >>Right? We've been saying this forever and soon we started to realize like, why are we asking everyone to learn to code when the end goal is to solve those business problems, right? So instead of learning to code, why not create a suite of low code or no code tools? So all of these people who we call citizen developers who may not be professional developers as in they didn't go to computer science school, they didn't do a coding boot camp. They don't live in visual studio all day. How can they use these low code tools to solve their specific business problems? So that's like the vision of power platform and they're, I would say six independent pillars of it. Um, the first one, the one that most people know is power BI, which is a dashboard to visualize data and you know, um, traction in your business and all of that. >>So that's the one that most of the fortune 500 are like quite familiar with. The second one that I think a lot of people have used, used to be called Microsoft flow. So this is a automation tool where you'd say, if I get an email, send me a text, you know, a kind of a, if this happens, then that happens. It's just a logical tool that connects lots and lots of services in our life together that has been renamed to power automate to focus more on the automation that many businesses have that we actually have not thought about for decades. How do we automate some of these processes that people have to do all the time? Third thing if I could. So of course one of the new announcements this week, power automate is the RPA piece. Yes. Come out there. So I guess it's a suite and this is a new offering as RPA. >>The robotic process automation is how we can, um, do UI automation, which is a huge pain in the neck. Like it's terrible because you say, Oh click box, wait three seconds, wait for this thing to happen. Sleep 10 sec. It is terrible. I've done UI automation, I hate it. UI automation. So much. So RPA, what it does for you is you perform the act actions and the code is generated and it replays. So that is this powerful tool for anyone who has to do any sort of repetitive scan form, scan, form, scan form, you know, sort of thing. So power automate. The third pillar is PowerApps, which I think everyone hears a lot about today, which is um, apps that are generated from whatever data source that you've got. Say you've got an Excel spreadsheet having, and I saw all of your guests are it all tracked in an Excel spreadsheet, right? >>Donna's coming now, Christina is coming next and there's Christina now and imagine you can see them in an app instead. And all of you have this app on your phone, you can say, Oh, what's on the docket for today, right? Donna's showing up at 11 Christina's at 1130 what are the questions we want to ask Donna? Click on the Donna tab, you get all the questions you want to talk to her about, et cetera. So PowerApps is a way to quickly generate an app from a data source without code. We have a whole bunch of templates depending on what you're trying to do. So maybe you're trying to make a gallery of photos or you're trying to make like an expense tool or like a gas mileage tool or whatever you're trying to do that every single business in the world has the same tools, slightly different. >>So the fourth thing is, um, a new announcement called power virtual assist, which is, um, think about it as simplified chatbots, right? Chatbots are everywhere. Uh, the way people think about making them is, Oh, I have to go get Azure cognitive services and learn it deeply and become a AI expert and learn to like speak natural language processing stuff. But in fact, you can build a chat bot in five minutes using power virtual assist, which was fantastic and really cool. And running through all of this is my favorite that I learned a lot about this week, which is called the AI builder. And AI builder is a tool really that brings intelligence to all of these things and makes you feel it kind of a badass. I'm like, Oh, I trained an AI model and deployed it and tested it on stage. That's crazy and cool. And I learned to do that in five minutes and believe you me, I'm not a data scientist. >>So it was a really, really cool set of tools that I personally, even as a pro developer, I'm very excited about. Well, I want to dig into the tools more than what they can do. But I first want to ask you a personal question because you're new to the role. You've been there two weeks. What made you, what was exciting to you about working with power platforms? So I've been at Microsoft for 14 years and I've always been in the windows division and I've always worked in a software engineering function. So always dealing with like C plus plus code comm code, how do we, what product code do we changes, do we make to windows the. And recently I've been realizing that my personal mission that anyone in the world should have my opportunities. It's, that's really important to me. Right? I grew up underserved society in Detroit, Michigan, right? >>I don't, I often feel like I don't deserve this life that I have and I fell into it because of luck and circumstance and I want other people to have these opportunities and not feel that same kind of impostor thing. So I always believe that tech is this, you know, this sword, this weapon that you can wield and it will as you make your way through the world and it creates so many opportunities, right? It, the opera and anyone in the world wants to hire a software engineer. Every company, right? Every company wants to hire devs. It doesn't matter if you're like government or like oil rigs, you want software developers. And I thought, what an amazing economic power and I want lots of people to have that. And lo and behold, I was offered the opportunity to head up a brand new advocacy team for the power platform, um, as part of the Azure advocates organization. >>And I said, Oh, that's amazing to be able to line up my personal passion with a mission in the company that doesn't come along very often. So I love my job. So it's interesting thought. I would love your viewpoint as someone that's been with Microsoft for 14 years, cause I know a lot of the advocacy people and many of them are ones that if you ask them if they would have joined Microsoft five years ago, I'm not sure. Sure. So you know, moving from windows to there. Tell us a little bit about culturally what's different about Microsoft today and you know, much more obviously than just windows. Yeah. Um, I would say that there's three things that are dramatically different. There's a lot of like things that people notice, but three things I think that are just, you can't even argue about it. One, we are definitely a learn it all mindset rather than a nodal where it's actually much better now to say, I do not know. >>Let's go find out, let's go do an experiment and then we'll have an answer. And that's much better than with great confidence saying something wrong. Right. Oh I know this will work for sure. I guarantee you. And then it not working because you're being a know it all rather than the learn it all. So that tolerance is off the charts. It's, it's expected. If you come in with a strong opinion with no sort of experimental data to back it up, that's no longer a good thing right now. People almost are suspicious. Like, really? Why do you, why do you think that? Have you checked it? Have you done the experiment? The second thing is, um, this co-creating with customers before, like you're asking about windows. I've worked on windows five versions and it always went a little like this, right? We as the developers would go and hide in Redmond, Washington for three and a half years and one day we would show up and say, here is your operating system. >>We'll see you in three years, have fun using it by, and then we go off and make another operating system. Right? We didn't stick around to figure out, is this operating system working for you? Are you being successful? What's you're trying to do? Are your customer successful? We just went ahead and made what we thought was next, right? Because we were convinced we knew better. But with windows 10 and every other product at Microsoft, now we actually cocreate with our customers, right? That feedback loop is part of the product cycle where we don't ship a product without having a feedback loop. So we shipped something. How are we getting feedback? What is the time baked in to actually take that feedback and make changes? So that's one thing. It's dramatically different. Um, it used to all be timed to code, product, time to fix bugs. >>That's it. Now it's code product, listen to customer feedback, fixed bugs from customers. That's it. So it dramatically shorten the amount of time it took to build an operating system because we don't need to make a three year long product. Instead we make like a six month long product. And when I ran the windows insider program, we were testing windows every week, right? Twice a week we're rolling out versions of windows to millions of people and getting their feedback in real time. And the third thing I'd say that's been a dramatic transformation is this inclusivity of not just different kinds of, you know, race in the city, but work styles, the kinds of businesses we do work with. Like we're a, we do Linux now, right? We do eggs. Um, our platform itself pulls from all sorts of data sources. We don't just say we only pull from Microsoft tech. >>Like if you have Excel, if you have access, if you have Azure, if you've sequel, we support you and everyone else go the heck away. No, we're, we're saying whatever data source you've got, we don't care. We'll build you a power app based on your data source. Bring your whole self to work, right? It's that bring your whole self to a work mindset that I think has permeated just across the company and a chosen our products. So you were talking about this feedback loop and I'm interested because these, these, the power platform was rolled out into 2018 we haven't seen any major revenue yet, but Microsoft sees a ton of promise here. So what was the customer feedback you were given in terms of these updates that you've just announced here at ignite and what were customers demanding, wanting, needing from these platforms, these, these, these tools? >>Well, there's been a few things. One, um, the uptake in power platform, especially power apps is the fastest growth of any business app in Microsoft history. Um, in the last like just two years we've reached 84% of the fortune 500 are running power. Now. That's kind of wild, right? When you think these are normally traditional companies who can be quite conservative, but they've got people, whether it's an it, it's a citizen dove or a PRODA, they're actually building power apps to supplement their business needs, right? So it's been just astronomical growth, which is fantastic. Um, and the feedback from this group is actually what dictates all of the changes we've been making. So one of the key things a lot of people said was we just adopted teams like last year, right? Our company adopted teams, we're all in on teams. All of our communication like realtime has done on teams, but power platform is not with teams. >>What's, what's the deal with that? Right? So the par platform dev team engineering team actually went and figured out how can you have a teams channel, how can you build a power plant, a power app, and then share that power app within your teams specifically. So say the three of us are working on a teams channel and I make a Oh, track your attendees app, the one we're talking about, I can share it within the teams itself and we can just see it from within the team's window. So it'll run within the teams window. Um, we can just deploy it to our phones as well. And with the same team's credentials as we're working, that applies to the app as well. So that's something that just rolled out this week as direct feedback from people who say we're, we want an on the latest and greatest. And that means teams. That's one means SharePoint online. That means our platform. That means all the things now. >>Yeah. So Donna, one of the things I love that you talked about is it doesn't take months to get started on this. So many announcements that you talked through all the six pillars and everything. For those people out there seeing what's new, give them some final tips as to how they should get started with, with the power platform family. >>I would say that um, one of the best things you can do is just get your hands on it, right? Stop reading about it. Stop looking at the announcements. Just get your hands on it. Because I was at first reading all these blog posts trying to understand CDs, power platform, AI builder, all this stuff. Stop. Just don't do it. The best thing to do is to go get on Microsoft learn. There's a start, a starter tutorial called canvas apps for power platform. Um, and go do the tutorial. All it does is it deploys an Excel spreadsheet to your personal machine or your personal one drive, whatever it is and using that, it's just carpet, right? It's like black carpet, white carpet and shows pictures of carpet and then you generate a power app. And it shows it in a gallery view on an app that you just see on your computer and then you deploy it to your phone. >>All it does is show you the power of an Excel spreadsheet converted into an app. So I've created a short URL for it just to make life easier for everyone. So it's AKA dot. Ms power up, super straight forward, super simple. And I talk about this tutorial all the time, not because I think it's the best tutorial that's ever existed, but for someone who has absolutely no idea and they're feeling intimidated to start, this is exactly the right thing to do because this tutorial, I am not kidding you both of you can do it in five minutes. Like on the next break. Once you're finished with me and Christina, I challenge you to do the tutorial. All right? Okay. Challenge accepted. One, one final thing. So you are known for this Ted talk that you gave Unimpossible syndrome earlier in this, in our conversation you said you fell into this like, Oh absolutely, you've gotten lucky, but yet you're a smart woman. >>Talk about imposter syndrome. And then and then give your best advice for the young people out there and an old people to frankly who are suffering. Imposter syndrome is a killer because it is a disease that is a global epidemic. It's not. Some people think it's a woman's problem, it's a people of color problem. No, it's not. It's an everyone problem. Every time I give this talk, the Ted audience was thousands of people. I would say about 70% men and when I asked how many of you feel these symptoms? Hands are up. 70% of people, and this was men too, who feel like I got here. You know the thoughts are usually I got here by accident. It was dumb luck. There's a mistake in the process. I slipped in under the radar any minute. Now someone's going to show up here and say, you don't belong here. >>Get out or someone's going to check my credentials or ask me like, how do you think you're as good as the people around you? Or why are you qualified to speak on this topic? Right? People are convinced this is going to happen. Like, almost everyone is convinced and it's wild. And I've realized the reason that happens is because we are not used to doing that thing yet. That's it. We don't imposter about the things we do every day. You don't imposter about being in camera on front of the camera in front of everyone because you do it all the time and you've gotten good reviews and obviously people come to talk to you. But if tomorrow I was to be like you and I are going to write office abs, you may say, ah, I don't think I'm qualified to do that. I don't know if you are or not. >>I'm just making stuff up at this point. Um, and you may say, I am not qualified to do that. And the reason you say that is because you've never done it before. Why would you be qualified to do that? It's like me trying to be qualified to ride a unicycle, right? Which I can't. So my advice to people who feels this, well I don't feel like I belong here, is break it down right into steps, debug this process and say, all right, there are parts of this process that I feel qualified to do and there's parts I do not feel qualified to do. What are they? So from my own example, I absolutely do not feel qualified to lead an advocacy team for power platform. Right. I said, I joined this team two weeks ago. I just learned about this product last year. How am I qualified to lead advocacy for this? >>So I had to break it down and I said, what? What am I feeling and posturing about? Is it leading advocacy? No, I did it for windows. I did it for hollow lens. I do know how to do that. Is it speaking in front of lots of people? Not really. I do that all the time. Is it writing content so others can learn? Not really. I do that all the time. Is it the product? Yes, it's the product. It's the, I don't feel like I know the ins and outs of the product that well. So if you were to ask me where exactly is the connector for, you know, Azure sequeled or PowerApps, I would just freeze. Like I do not know. I think it's in the Azure portal somewhere, somewhere. So I would feel that sense of imposter and like, Oh, I don't know. >>So I don't belong here. It's no, I just don't know the product that well. That's okay. I know advocacy well, so what I need to do now is identify things. I'm good at advocacy things. I'm not good at product, learn the product. That's it. It just becomes a really easy to do list or to learn list. Right. Learn it all mindset, not know it all. Mindset. I love it. Thank you so much. Thank you is a really terrific conversation. Wonderful. Thanks for having me. I'm Rebecca Knight for Stu Miniman. Stay tuned for more of the cubes live coverage of Microsoft ignite.

>> Live from Orlando, Florida. It's theCUBE. Covering Microsoft Ignite. Brought to you by Cohesity, and theCUBE's ecosystem partners. >> Welcome back to the CUBE's live coverage of Microsoft Ignite here in Orlando, Florida. I'm your host, Rebecca Knight. Along with my co-host Stu Miniman. We're joined by Andrew Liu. He is the senior product manager at Azure Cosmos DB. Thanks so much for coming on the show Andrew. >> Oh, thank you for hosting. >> You're a first timer, so this will be a lot of fun. So, talk to me a little bit. Azure Cosmos DB is a database for building blazing fast planet scale applications. Can you tell our viewers a little bit about what you do and about the history of Azure Cosmos? >> Sure, so Azure Cosmos DB started with, about eight years ago, where we were also outgrowing a lot of our own database needs with what we had previously built. And a lot of the challenges that we had was really around partitioning, replication, and resource governance. So, I'll talk a little bit about each one. Partitioning is really about solving the problem of scale. Right? I have so much data, doesn't fit on a single machine, and I have so many requests per second. Also doesn't, can't be served out of a single machine. So how do I go and build a system, a database that can elastically scale over a cluster of machines, so I don't have to manually shard, and as a user have to shard a database across many, many instances. This way I really want to be able to scale just seamlessly. The velocity problem is, we also wanted to build something that, can respond in a very fast manner, in terms of latency. So, it's great and all that we can serve lots of request per second, but, what is the response time of each one of those requests? And the resource governance was there to really actually build this as a cloud native database in which we wanted to exploit the properties of our cloud. We wanted to use the economies of scale that we can have basically data centers built all around the world, and build this as a multi, truly multi-tenant service. And by doing so we can also afford the total cost of ownership for us, as well as, a guaranteed predictable performance for the tenants. Now we did this, for initially our first party tenants at Microsoft, where we have made a bet on everything from our Microsoft live platform, to Office, to Azure itself as built on Azure Cosmos DB. And about four years ago we found that hey, this is not really just a Microsoft problem that we're solving, but it's an everybody problem, it's become universal, and so we've launched it out to the open. >> Yeah, Andrew that's, great point, and I want you to help unpack that for us a little bit because you know, we've been saying on theCUBE for many years, distributed architectures are some of the toughest challenges of our time, but, if I'm a Facebook, or a Google, or a Microsoft, I understand some of the challenges, and I understand why I need it, but, when you talk about scale, well, scale means a lot of different things to a lot of different people. So, how does Cosmos? What does that mean to your users, end users, why do they need this? You know, haven't they just felt some microservices architecture? And they'll just leverage, ya know what's in Azure. And things like that. How does this global scale impact the typical user? >> So I'm actually seeing this come in different types of patterns for different types of industries. So for example, in manufacturing we're commonly seeing Cosmos DB used really for that scalability for the write scalability, and having many, many concurrent writes per second. Typically this is done in an IoT telemetry, or an IoT device registry case. So let's use one of our customers for example, Toyota. Each year they're shipping millions of vehicles on the road, and they're building a big connected car platform. The connected car platform allows you to do things like, whenever it alerts an airbag gets deployed, they can go and make sure and call their driver, hey, I saw the airbag was deployed are you okay? And if the user doesn't pick up their phone, immediately notify emergency services. But the challenge here is if each year I'm shipping millions of vehicles on the road, and each of 'em has a heartbeat every second, I'm dealing with millions of writes per second, and I need a database that can scale to that. In contrast, in retail I'm actually seeing very different use cases. They're using more of the replication side of our stock where they have a global user base, and they're trying to expand an eCommerce shop. So for example ASOS is a big fashion retailer, they ship to 200 different countries globally, and they want to make sure that they can deliver real-time experiences like real-time personalization, and based off of who the user is recommended set of products that is tailored to that user. Well now what I need is a data set that can expand to my shoppers across two different hundred, 200 countries around the globe, and deliver that with very, very low latency so that my web experience is also very robust. So what they use is our global distribution, and our multi-mastering technology. Where we can actually have a database presence, similar to like what a CDN does for static content, we're doing for our dynamic evolving content. So in a database your work load, typically your data set is evolving, and you want to be able to run queries with consistency over that. As opposed to in CDN you're typically serving static assets. Well here we can actually support those dynamic content, and then build these low latency experiences to users all around the globe. The other area we see a lot of usage is in ISV's for mission critical workloads. And the replication actually gets us two awesome properties, right? One is the low latency by shipping data closer to where the user is, but the other property you get is a lot of redundancy, and so we actually also offer industry leading SLA's where we guarantee five nines of availability, and the way we're able to do so is, with a highly redundant architecture you don't care if let's say a machine were to bomb out at any given time, because we have multiple redundant copies in different parts of the globe. You're guaranteed that your workload is always online. >> So my question for you is, when you have these, you just described some really, really interesting customer use cases in manufacturing, in retail, do you then create products and services for each of these industries? Or do you say hey other retail customers, we've noticed this really works for this customer over here, how do you go out to the community with what you're selling? >> Ah, got it. So we actually have found that this can be a challenging space for some of our customers today, 'cause we have so many products. The way we kind of view it is we want to have a portfolio, so that you can always choose the right tool for the right job. And I think a lot of how Microsoft has evolved as a business actually is around this. Previously we would sell a hammer, and we'd tell you don't worry everything's a nail, even if it looks like a screw let's just pretend it's a nail and whack it down. But today we've built this big vast toolbox, and you can think of Cosmos DB as just one of many tools in our vast toolbox. So if you have a screw maybe you pickup a screwdriver, and screw that in. And the way Azure works is then if we have a very comprehensive toolbox, depending on what precise scenario you have, you can kind of mix and match the tools that fit your problem. So think of them as like individual Lego blocks, and whether you're building like a death star, or an x-wing, you can go, and assemble the right pieces for your application. >> Andrew, some news at the show around Cosmos DB. Share us what the updates are. >> Oh sure, so we're really excited to launch a few new features. The highlights are multi-master, and Cassandra API. So multi-master really exploits the replicated nature of our database. Before multi-master what we would do is, we would allow you to have a globally distributed database in which you can have write requests go to single region, and reads being served out of any of these other locations. With multi-master we've actually made it so that each of those replicas we've deployed around the globe can also accept write requests. What that translates to from a user point of view is number one, your write requests are a lot faster, they're super low latency, single-digit millisecond latency in fact. No matter where the user is around the globe. And number two, you also get much higher write availability. So even if let's say, we're having a natural disaster, we had a nasty hurricane as you know pass through on the east coast last week, but with a globally distributed database the nice thing is even if you have, let's say, a power disruption in one region of the world, it doesn't matter cause you can then just fail over, and talk to another data center, where you have a live replica already located. So we just came out with multi-master. The short summary is low latency writes, as well as high available writes. The other feature that we launched is Cassandra API, and as you know this is a multi-model, multi-API database. What that means is, what we're trying to do is also meet our users where they are. As opposed to pushing our proprietary software on them, and we take the whole concept of vendor lock-in very, very seriously. Which is why we make such a big bet on the open source ecosystem. If you already have, let's say a MongoDB application, or a Cassandra application, but you'd really love to be able to take advantage of some of the novel properties that we've built with building a fully managed multi-master database. Well, what we've done is we've implemented this as a wire level protocol on the server side. So it can take an existing application, not change a single line of code, and point it to Cosmos DB as a back-end, and then take advantage of Cosmos DB as your database. >> One of the interesting things if you look at the kind of changing face of databases, it's how users are being able to leverage their data. You talk about everything from you know, I think Cassandra back, and some of the big data discussions, today everything's AI which I know is near and dear to Microsoft's heart. Satya Nadella I'm talking about, how do you think of the role of data in this solution set? >> Sorry, can you say that one more time? >> So, how customers think about leveraging data, how things like Cosmos allow them to really extract the value out of data, not just be some database that kind of stuck in the back-end somewhere. >> Yeah, yeah. I mean a lot of it is the new novel experiences people are building. So for example, like the connected car platform, I'm seeing people actually build this, and take advantage of new novel territories that a traditional automobile manufacturer used to not do. Not only are they building experiences around, how do they provide value to their end users? Like the air bag scenario, but they're also using this as a way of building value for their business, and how to make sure that, hey when, next time you're up for an oil change that they can send a helpful reminder, and say hey I noticed you're due for an oil change in terms of mileage. Why don't I just go set up an appointment, just up for you, as well as other experiences for things, like when they want to do fleet management, and do partnerships with either ride sharing companies like Uber, and Lyft, or rental car companies like Avis, Hertz, et cetera. I've also seen people take advantage of, taking kind of new novel experiences through databases, through AI, and machine learning. So for example, the product recommendations. This was something that historically, when I wanted to do recommendations a decade ago, maybe I have some big beefy data lake running somewhere in the back-end, it might take a week to munch through that data, but that's okay, a week later once I'm ready, I'll send out some mail, maybe some email to you, but today when I want to actually show live right when the user is browsing my website, my website has to load fast right? If my goal is to increase conversions on sales, having a slow running website is the fastest way for my user to click the back button. But if I want to build real-time personalization, and want to generate let's say a recommendation within 200 millisecond latency, well now that I have databases that can guarantee me single-digit millisecond latency, it gives me ample time to actually improve the business logic for those recommendations. >> I want to ask you a question about culture, because you are based at the mothership in Redmond, Washington. So we heard Satya Nadella on the main stage today talk about tech intensiveness, tech intensity, sorry, this idea that we need to not only be adopting technology, but also building the latest, and greatest. I'm curious about, how that translates at Microsoft's campus, and sort of how, how this idea is, infuses how you work with your colleagues, and then also how you work with your customers and partners? >> I think some of the biggest positive changes I've seen over the last decade has been how much more of a customer focus we have today then ever. And i think a lot of things have led to that. One is, just the ability to ship much faster. As we move to Cloud services we're no longer in these big box product release cycles of building a product, and waiting like one or two years to ship it to our users. But now we can actually get some real-time feedback. So as we go, and ship, and deploy software, we actually deploy even on a weekly cadence over here. What that allows us to do is actually experiment a lot more, and get real-time feedback, so if we have an idea, and rather than having to go through a long lengthy vetting process, spending years building, and hoping that it really pays off. What we can do is we can just go talk to our users, and say hey, ya know, we have an idea for our future. We'd love to get your feedback, or a lot of times honestly our customers actually come to us, where we're so tightly engaged these days, that when, users even come to us, and say like hey, what do you think about this idea? It would really add a lot of value to my scenario. We go, and try to root cause that, really get an idea of what exactly that they need. But then we can turn that around in blazing fast time. And I think a lot of the shift to Cloud services, and being able to avoid the overhead of well we got to wait for this ship train, and then wait for the right operation personnel to go and deploy the updates. Now that we can control our own destiny, and just ship on a very, very fast cadence, we're closer to our users, and we experiment a lot more, and I think it's a beautiful thing. >> Great, well Andrew thank you so much for coming on theCUBE, it was fun talking to you. >> Oh yeah, thank you for hosting. >> I'm Rebecca Knight, for Stu Miniman, we will have more from theCUBE's live coverage of Microsoft Ignite coming up just after this. (techno music)