>>From around the globe, it's the cube with digital coverage of AWS reinvent 2020 sponsored by Intel and AWS. >>Oh, welcome back to the cube. As we continue our coverage of AWS reinvent 2020, you know, I know you're familiar with Moneyball, the movie, Brad Pitt, starting as Billy Bean, the Oakland A's general manager, where the A's were all over data, right. With the Billy Bean approach, it was a very, uh, data driven approach to building his team and a very successful team. Well, AWS is taking that to an extraordinary level and with us to talk about that as Matt Hearst, who was the head of global sports marketing and communications at AWS and Matt, thanks for joining us here on the queue. >>John is my pleasure. Thanks so much for having me. You >>Bet. Um, now we've already heard from a couple of folks, NFL folks, uh, at re-invent, uh, about the virtual draft. Um, but for those of our viewers who maybe aren't up to speed on that, or having a chance to see, uh, what those folks had to say, uh, let's just talk about that as an opener, um, about your involvement with the NFL and particularly with, with the draft and, and what that announcement was all about. >>Sure. We, we saw, we've seen a great evolution with our work with the NFL over the past few years. And you mentioned during the infrastructure keynote where Michelle McKenna who's, the CIO for the NFL talks about how they were able to stage the 2020 virtual draft, which was the NFL is much most watched ever, uh, you know, over 55 million viewers over three days and how they were unable to do it without the help and the power of AWS, you know, utilizing AWS is reliability, scalability, security, and network connectivity, where they were able to manage thousands of live feeds to flow to the internet and go to ESPN, to airline. Um, but additionally, Jennifer LinkedIn, who's the SVP of player health and innovation at the NFL spoke during the machine learning keynote during reinvent. And she talked about how we're working with the NFL, uh, to co-develop the digital athlete, which is a computer simulation model of a football player that can replicate infinite scenarios in a game environment to help better foster and understanding of how to treat and rehabilitate injuries in the short term and in the long-term in the future, ultimately prevent, prevent and predict injuries. >>And they're using machine learning to be able to do that. So there's, those are just a couple of examples of, uh, what the NFL talked about during re-invent at a couple of keynotes, but we've seen this work with the NFL really evolve over the past few years, you know, starting with next gen stats. Those are the advanced statistics that, uh, brings a new level of entertainment to football fans. And what we really like to do, uh, with the NFL is to excite, educate, and innovate. And those stats really bring fans closer to the game to allow the broadcasters to go a little bit deeper, to educate the fans better. And we've seen some of those come to life through some of our ads, uh, featuring Deshaun Watson, Christian McCaffrey, um, these visually compelling statistics that, that come to life on screen. Um, and it's not just the NFL. AWS is doing this with some of the top sports leagues around the world, you know, powering F1 insights, Buddhist league, and match facts, six nations, rugby match stats, all of which utilize AWS technology to uncover advanced stats and really help educate and engage fans around the world in the sports that they love. >>Let's talk about that engagement with your different partners then, because you just touched on it. This is a wide array of avenues that you're exploring. You're in football, you're in soccer, you're in sailing, uh, you're uh, racing formula one and NASCAR, for example, all very different animals, right? In terms of their statistics and their data and of their fan interest, what fans ultimately want. So, um, maybe on a holistic basis first, how are you, uh, kind of filtering through your partner's needs and their fans needs and your capabilities and providing that kind of merger of capabilities with desires >>Sports, uh, for AWS and for Amazon are no different than any other industry. And we work backwards from the customer and what their needs are. You know, when we look at the sports partners and customers that we work with and why they're looking to AWS to help innovate and transform their sports, it's really the innovative technologies like machine learning, artificial intelligence, high performance computing, internet of things, for example, that are really transforming the sports world and some of the best teams and leagues that we've talked about, that you touched on, you know, formula one, NASCAR, NFL, Buena, Sligo, six nations, rugby, and so on and so forth are using AWS to really improve the athlete and the team performance transform how fans view and engage with sports and deliver these real-time advanced statistics to give fans, uh, more of that excitement that we're talking about. >>Let me give you a couple of examples on some of these innovative technologies that our customers are using. So the Seattle Seahawks, I built a data Lake on AWS to use it for talent, evaluation and acquisition to improve player health and recovery times, and also for their game planning. And another example is, you know, formula and we talk about the F1 insights, those advanced statistics, but they're also using AWS high-performance computing that helped develop the next generation race car, which will be introduced in the 2022 season. And by using AWS F1 was able to reduce the average time to run simulations by 70% to improve the car's aerodynamics, reducing the downforce loss and create more wheel to wheel racing, to bring about more excitement on the track. And a third example, similar to, uh, F1 using HPC is any of those team UK. So they compete in the America's cup, which is the oldest trophy in international sports. And endosteum UK is using an HPC environment running on Amazon, easy to spot instances to design its boat for the upcoming competition. And they're depending on this computational power on AWS needing 2000 to 3000 simulations to design the dimension of just a single boat. Um, and so the power of the cloud and the power of the AWS innovative technologies are really helping, uh, these teams and leagues and sports organizations around the world transform their sport. >>Well, let's go back. Uh, you mentioned the Seahawks, um, just as, uh, an example of maybe, uh, the kind of insights that that you're providing. Uh, let's pretend I'm there, there's an outstanding running back and his name's Matt Hearst and, uh, and he's at a, you know, a college let's just pretend in California someplace. Um, what kind of inputs, uh, are you now helping them? Uh, and what kind of insights are you trying to, are you helping them glean from those inputs that maybe they didn't have before? And how are they actually applying that then in terms of their player acquisition and thinking about draft, right player development, deciding whether Matt Hertz is a good fit for them, maybe John Wallace is a good fit for them. Um, but what are the kinds of, of, uh, what's that process look like? >>So the way that the Seahawks have built the data Lake, they built it on AWFs to really, as you talk about this talent, evaluation and acquisition, to understand how a player, you know, for example, a John Walls could fit into their scheme, you know, that, that taking this data and putting it in the data Lake and figuring out how it fits into their schemes is really important because you could find out that maybe you played, uh, two different positions in high school or college, and then that could transform into, into the schematics that they're running. Um, and try to find, I don't want to say a diamond in the rough, but maybe somebody that could fit better into their scheme than, uh, maybe the analysts or others could figure out. And that's all based on the power of data that they're using, not only for the talent evaluation and acquisition, but for game planning as well. >>And so the Seahawks building that data Lake is just one of those examples. Um, you know, when, when you talk about a player, health and safety, as well, just using the NFL as the example, too, with that digital athlete, working with them to co-develop that for that composite NFL player, um, where they're able to run those infinite scenarios to ultimately predict and prevent injury and using Amazon SageMaker and AWS machine learning to do so, it's super important, obviously with the Seahawks, for the future of that organization and the success that they, that they see and continue to see, and also for the future of football with the NFL, >>You know, um, Roger Goodell talks about innovation in the national football league. We hear other commissioners talking about the same thing. It's kind of a very popular buzz word right now is, is leagues look to, uh, ways to broaden their, their technological footprint in innovative ways. Again, popular to say, how exactly though, do you see AWS role in that with the national football league, for example, again, or maybe any other league in terms of inspiring innovation and getting them to perhaps look at things differently through different prisms than they might have before? >>I think, again, it's, it's working backwards from the customer and understanding their needs, right? We couldn't have predicted at the beginning of 2020, uh, that, you know, the NFL draft will be virtual. And so working closely with the NFL, how do we bring that to life? How do we make that successful, um, you know, working backwards from the NFL saying, Hey, we'd love to utilize your technology to improve Clare health and safety. How are we able to do that? Right. And using machine learning to do so. So the pace of innovation, these innovative technologies are very important, not only for us, but also for these, uh, leagues and teams that we work with, you know, using F1 is another example. Um, we talked about HPC and how they were able to, uh, run these simulations in the cloud to improve, uh, the race car and redesign the race car for the upcoming seasons. >>But, uh, F1 is also using Amazon SageMaker, um, to develop new F1 insights, to bring fans closer to the action on the track, and really understand through technology, these split-second decisions that these drivers are taking in every lap, every turn, when to pit, when not to pit things of that nature and using the power of the cloud and machine learning to really bring that to life. And one example of that, that we introduced this year with, with F1 was, um, the fastest driver insight and working F1, worked with the Amazon machine learning solutions lab to bring that to life and use a data-driven approach to determine the fastest driver, uh, over the last 40 years, relying on the years of historical data that they store in S3 and the ML algorithms that, that built between AWS and F1 data scientists to produce this result. So John, you and I could sit here and argue, you know, like, like two guys that really love F1 and say, I think Michael Schumacher is the fastest drivers. It's Lewis, Hamilton. Who's great. Well, it turned out it was a arts incentive, you know, and Schumacher was second. And, um, Hamilton's third and it's the power of this data and the technology that brings this to life. So we could still have a fun argument as fans around this, but we actually have a data-driven results through that to say, Hey, this is actually how it, how it ranked based on how everything works. >>You know, this being such a strange year, right? With COVID, uh, being rampant and, and the major influence that it has been in every walk of global life, but certainly in the American sports. Um, how has that factored into, in terms of the kinds of services that you're looking to provide or to help your partners provide in order to increase that fan engagement? Because as you've pointed out, ultimately at the end of the day, it's, it's about the consumer, right? The fan, and giving them info, they need at the time they want it, that they find useful. Um, but has this year been, um, put a different point on that for you? Just because so many eyeballs have been on the screen and not necessarily in person >>Yeah. T 20, 20 as, you know, a year, unlike any other, um, you know, in our lifetimes and hopefully going forward, you know, it's, it's not like that. Um, but we're able to understand that we can still bring fans closer to the sports that they love and working with, uh, these leagues, you know, we talk about NFL draft, but with formula one, we, uh, in the month of may developed the F1 Pro-Am deep racer event that featured F1 driver, uh, Daniel Ricardo, and test driver TA Sianna Calderon in this deep racer league and deep racers, a one 18th scale, fully autonomous car, um, that uses reinforcement learning, learning a type of machine learning. And so we had actual F1 driver and test driver racing against developers from all over the world. And technology is really playing a role in that evolution of F1. Um, but also giving fans a chance to go head to head against the Daniel Ricardo, which I don't know that anyone else could ever say that. >>Yeah, I raced against an F1 driver for head to head, you know, and doing that in the month of may really brought forth, not only an appreciation, I think for the drivers that were involved on the machine learning and the technology involved, but also for the developers on these split second decisions, these drivers have to make through an event like that. You know, it was, it was great and well received. And the drivers had a lot of fun there. Um, you know, and that is the national basketball association. The NBA played in the bubble, uh, down in Orlando, Florida, and we work with second spectrum. They run on AWS. And second spectrum is the official optical provider of the NBA and they provide Clippers court vision. So, uh, it's a mobile live streaming experience for LA Clippers fans that uses artificial intelligence and machine learning to visualize data through on-screen graphic overlays. >>And second spectrum was able to rely on, uh, AWS is reliability, connectivity, scalability, and move all of their equipment to the bubble in Orlando and still produce a great experience for the fans, um, by reducing any latency tied to video and data processing, um, they needed that low latency to encode and compress the media to transfer an edit with the overlays in seconds without losing quality. And they were able to rely on AWS to do that. So a couple of examples that even though 2020 was, uh, was a little different than we all expected it to be, um, of how we worked closely with our sports partners to still deliver, uh, an exceptional fan experience. >>So, um, I mean, first off you have probably the coolest job at AWS. I think it's so, uh, congratulations. I mean, it's just, it's fascinating. What's on your want to do less than in terms of 20, 21 and beyond and about what you don't do now, or, or what you would like to do better down the road, any one area in particular that you're looking at, >>You know, our, our strategy in sports is no different than any other industry. We want to work backwards from our customers to help solve business problems through innovation. Um, and I know we've talked about the NFL a few times, but taking them for, for another example, with the NFL draft, improving player health and safety, working closely with them, we're able to help the NFL advance the game both on and off the field. And that's how we look at doing that with all of our sports partners and really helping them transform their sport, uh, through our innovative technologies. And we're doing this in a variety of ways, uh, with a bunch of engaging content that people can really enjoy with the sports that they love, whether it's, you know, quick explainer videos, um, that are short two minute or less videos explaining what these insights are, these advanced stats. >>So when you see them on the screening and say, Oh yeah, I understand what that is at a, at a conceptual level or having blog posts from a will, Carlin who, uh, has a long storied history in six nations and in rugby or Rob Smedley, along story history and F1 writing blog posts to give fans deeper perspective as subject matter experts, or even for those that want to go deeper under the hood. We've worked with our teams to take a deeper look@howsomeofthesecometolifedetailingthetechnologyjourneyoftheseadvancedstatsthroughsomedeepdiveblogsandallofthiscanbefoundataws.com slash sports. So a lot of great rich content for, uh, for people to dig into >>Great stuff, indeed. Um, congratulations to you and your team, because you really are enriching the fan experience, which I am. One of, you know, hundreds of millions are enjoying that. So thanks for that great work. And we wish you all the continued success down the road here in 2021 and beyond. Thanks, Matt. Thanks so much, Sean.

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Good afternoon everyone and welcome back to the cubes live coverage of Microsoft ignite. We are wrapping up three days of wall to wall coverage. Back to back interviews. I'm your host Rebecca Knight, alongside my cohost Stu Miniman. We have saved the best for last. We have BJ Jenkins, president and CEO of Barracuda networks. Thank you so much for coming on the cube. Feel a lot of pressure on internet. It's going to be great. Why don't you start by Barracuda. I think of that heartsong tell our viewers a little bit about, about your business, what you do. >>Yeah. Um, Barracuda is a company focused in the security industry, primarily on email security and network and application security. Uh, we have over 220,000 customers, uh, since we were founded a little over 15 years ago. And um, you know, we have a passion for making our customers secure and safe and being able to run their business. And we're a great partner in Microsoft, so, uh, they really help us drive our business. >>Yeah. So, so much to catch up, PJ, since it's been many years since you've been on the program, you were new in the role, but let's start with that Microsoft relationship here. We've been spending all week talking through all of the various environments. Talk about a little bit about your joint customers, the relationship and what's happening there. >>Yeah. I joined Barracuda seven years ago. Yesterday was my anniversary. And um, when I came into Barracuda, it was primarily at the time focused on a kind of small and midsize businesses. And most of those businesses ran Microsoft exchange or ran some form of Microsoft applications. And really that was the start of our partnership, realizing how important Microsoft was and it's grown. We were the first, uh, security company to put our firewalls in Azure. And that was over five years ago. And I think being first with a partner like Microsoft who is really at that point trying to catch up with Amazon and you know, Satya was, we're starting to drive the business in that direction. Uh, it gave us a unique vantage point in the partnership and it's grown from there. We were, uh, the Azure partner the year in 2016, uh, across their business. Um, we do joint development with them. We do joint go to market activities. And when you look around and you see 30,000 customers here, it's a, it's a good, good place to focus for a company like ourselves. >>Yeah. Well the, the, the changes in Microsoft business has had a ripple effect in the ecosystem, not only the launch of Azure, but I mean a big push office three 65 you talk about there's gotta be a difference between I'm rolling out exchange servers and well, it's all in the cloud. We know that customers still need to think sick as strong about security when they go to SAS Deere. If your customers figured that out yet. >>Yeah. I think, um, the trends that played out on prom play out in the cloud, um, how am I gonna secure my applications? How am I going to secure my data, my network? Um, and then the individuals that are using that cause at the end of the day, the individuals tend to be the weakest link in the security chain. And, um, you know, Mike, what I like is Microsoft has done a really good job improving their security posture, the base level that they provide to their customers every single day improves. And our job is to innovate on top of that and make them even safer. And, um, Microsoft's position in the industry too has been one where they want to be a ecosystem. They want to partner with third parties to help their customers move from on prem into Azure. And they know they're not gonna be able to do it on their own. >>So they've upped their game. We've got to up our game and we do it jointly, which is the nice thing. I, I joke with people. When I was at EMC and I used to go to Redmond, I'd go with battle armor on because there was not gonna be a fun meeting, uh, who's going to be, how Microsoft was going to hurt our business. And now I go to Redmond and you're embraced as a partner. They want to understand what customers and partners are thinking. They jointly plan with you. It's a completely different tone and tenor, which has been nice for us. >>So it is a scary world out there. And as we know that the threat environment is changing, hackers are becoming more sophisticated. I wonder if you could just set the scene for our viewers and just talk about security challenges in general and then we'll get into the specifics of the new solutions that you've announced here. >>Yeah, it's, threats come from everywhere and I think it's hard to boil it down and make it simple at times. But one of the stories I tell, uh, investors and customers about how fast the world is changing, uh, when I came on board, CEO's are obviously targets for hackers and the types of phishing mails I would get at that point. Um, and they would be very obvious. I've gone by BJ my entire life. On the website it says William Jenkins. And so the phishing emails would come in and say, you know, today fog, no, Hey, can you wire money here, William? Right. And so there was just base level intelligence. Nowadays they use LinkedIn, they use fee, they create social graphs. They study your communication forms, they look, they know how you're organized and they target the people. It will have, I always signed my emails past comma, BJ, the best fishing males have that in there. >>They've discovered that they've incorporated that they, so the, just the level of intelligence, the sophistication of what hackers do today, uh, has exponentially changed. And, you know, we're fortunate you can, we have more computing power. We have more artificial intelligence that we can apply to stop them. But the game just keeps getting escalated. And it's a, it's why the security industry has been strong. It's why there's so many companies out there. We've got to keep getting better. Um, but it's, it's a scary world. It's, it's, you know, you can never, never rest and never think you're ahead. You always gotta keep attacking it. >>So BJ, you had a number of announcements. Barracuda did, not nearly as many as Microsoft did, but give us the highlights if you would. >>Yeah. Um, so a number number of things announced here. Uh, first we're part of, uh, Misa, the Microsoft intelligence security association. So we're proud, proud to be a part of that. At launch. Um, we announced, uh, the cloud application platform security platform and the big announcement for us around that was our launch of as a service, uh, that's run on Azure. And, uh, we've always had a strong application approach. We've got integrated, um, detection, DDoSs uh, the O OS top 20 are all in Kurt corporate into our platform. What we've done is really leveraged Microsoft scale to run a very easy, simple to deploy a web application security platform, uh, that takes advantage of Microsoft scale and resiliency and brings that to our customers. Uh, we did a study, you know, only 10% of the websites in the world today are protected. So 90% of the web sites and web applications in the world today run on protected. >>We think this is a great way to go out and, um, help protect more of those. And then finally, um, you know, we announced Microsoft announced their V land solution and we have done joint development with them. We'll continue to innovate here, but we announced obviously our solution that we'll run, uh, with Microsoft's B when we're the only ones who can provide a customer really with multiple lengths run on Microsoft backbone, they can really run their data center. Now the corporate data center out of Azure, uh, we give them traffic prioritization, fail over resiliency that customers need when they're making those types of decisions. So there was more than that, but that was a lot of good stuff for us. We're excited about it. >>What does the recent announcement that Microsoft has won the Jetta contract, does that have any impact on Barracuda's business? Is that, >>well, I think anytime Microsoft wins business, it's a good thing because we're partnering with them. That contract is so big and, uh, has a lot of different elements and, and certainly security is a part of it. So we think there's aspects where we can play. I did hear, I think, um, Oracle was suing and I think AWS, so this may have a lot of legs before it becomes real. But it, I, you know, I think it continues to show that customers want to utilize, um, the scale breadth and depth of solutions that the cloud companies are bringing. And, you know, we view that as opportunity because security is an important element to making that work for those customers. >>So PJ, one to put aside the Microsoft stuff for a second here, since last we talk barracudas gone private and the security industry feels like it just growing so fast. You know, every week we're getting approached by new startups, heavy investment and the like, give us a little bit about your position has a CIO and CEO in this space. Uh, and you know, the love, a little bit of a note. We know it happened a few years back now, but going private when so many companies have, >>yeah, they're, you know, obviously there's a lot of funded companies in the security market. You know, we were in, uh, we had been public for, for four years. Um, a company that's been around 15 years where we were a profitable security company to, we were unique. We weren't, uh, the high flyer growth, but we were growing, you know, kind of, uh, low double digits with profitability, but there were investments that needed to be made in the business. Uh, we were running our transaction system on code, the founder wrote. Um, so there were investments we really needed to make to go from, you know, the 400, 500 million Mark to 1 billion mark. And so going private with a partner like Thoma Bravo, um, who really understands this industry has allowed us to reset the strategy and focus on, uh, the highest growth areas for us, which are email and network and application security. >>Um, they've helped us, we've invested over 20 million in internal systems, um, modern systems, Salesforce, NetSuite, uh, that we think give us the foundational elements to scale to $1 billion. And, um, you know, they combine that with operational expertise that they bring in to help us get more customers to the 220,000. Uh, one of the other interesting things for us too is, um, well we have 220,000 customers. We have 50 of the fortune 100. We have 250 of the fortune 1000 and as the movement, as, as customers have move to cloud, our solutions have become more relevant for customers of scale. And so they've given us the backing really to make that transition into that. So I liked not having to go on public conference calls every quarter. That's been a really nice thing. Um, but they've been a great partner for us. So we've, I think what you can think of us as we focused on areas that we think are the highest priority to our customers. >>Yeah, PJ, it also, we talked about there's so many startups in this space out there. The profile security keeps getting raised. Pat Gelsinger, VMware, you know, pounding the table saying that security needs to do over the, he just purchased black Boston based company that was public. You know, I talked to my friends that had been deep in the security industry and they scoff a little bit about, you know, we've been doing this for a long time. Barracuda is a company that has been around for quite a number of years. How's the industry doing? What do we need to do better? And how do you look at that landscape? >>Yeah, I, you know, I love pats energy and vigor, but there's no silver bullet that's gonna solve every problem out there. I do think, uh, where the industry is getting better is one on sharing information. You can see alliances, associations that have been formed. Um, you know, even with the cloud providers, we're actively sharing information and sharing of that information. We'll make more robust solutions first. Um, second you're seeing vendors go more towards platform where they're offering a larger, so the, the quality of solutions are getting better. And I do think there's consolidation happening where there, there are going to be certain segments of the market where you don't need 15 solutions. You really need, you know, one not from a particular player. So I think you'll see more, uh, consolidation occur around that. And you know, certainly that's been a trend we've been on in terms of integrating our solutions, making them easier to deploy and use for the customers. And then, you know, I think the last part of this is regulation is really a, it's still behind, but it's finally catching up and there's an interest in it. And I think in partnership with the industry, we can get our customers in a better position, a better security posture. So, you know, I, um, there will be consolidation over over time. Uh, you know, I've seen a map, I think there's 3000 security companies in all different segments that won't last forever. And, uh, it'll get easier for customers over time, is my belief. >>So with regulation, do you want to work in partnership with regulators? I mean, how do you, to help them understand the industry first of all and understand the dangers and the risks? I mean, how do you see the future of regulation for this industry? >>First of all, there's a large education process for legislators in general. You have to look no further than when Mark Zuckerberg got questioned by Congress. And the questions he were getting asked were not the best questions. Um, but you do have people who understand this industry and you can look at regulations like GDPR. You know, California's coming out data privacy law now and they're never perfect, but they're good foundational elements to start. And they're helping customers, um, get more aware of what they have to do to be secure and they're helping us explain to customers the things you can do to be in a better security posture. And so there's a continuum around this. We're in the early days, I, there's still a lot of education that has to go on, but when you see, >>start getting passed, it's a good step in the right direction. And by my estimation, BJ, we did save the best for last. Thank you so much for coming on the cube. That was terrific. Sorry it took so long. I'm Rebecca and I first two minutes and that wraps up three days of coverage at Microsoft ignite at the cube. Thank you so much for tuning in and we will see you next time.

>>live from Orlando, Florida It's the cue covering Microsoft Ignite Brought to you by Cho He City >>Welcome back, everyone. And welcome to the cubes live coverage of Microsoft Ignite Here in Orlando, I'm your host, Rebecca Night, along with my co host Stew Minimum. We're joined by Nicholas Djerassi. Moto's He is a cloud computing evangelist at Red Hat. Thank you so much for coming on the Cube. It's a pleasure. Thank you. So tell us a little bit about what you do at Red Hat. >>So I work with a lot of red, have partners really trying to foster the ecosystem and build red have products and solutions that can actually be deployable, repeatable for different customers. So different verticals. Financial health care doesn't really matter. For the most part, I try and just focus on cloud computing and really just evangelizing a lot of our technologies that we have. >>Okay, so So what are the kinds of things you're doing here at ignite? >>So I've been spending a lot of time actually working with some of the partners, like a center IBM. We've been doing a bunch of different webinars a little bit of hands on workshops that kind of educating people about distributed computing edge computing on dhe some of the technologies that we've been working along with Microsoft. So, uh, co engineering of sequel server The man is service offering that we're doing with open shift, which is our enterprise great kubernetes platform along many other >>different things. So So, Nicholas, you know, it's been a couple of years now that we've gotten over some of the gas. Wait. Microsoft has not said that, you know, we're killing the penguins, you know, off on the side. I was in Boston for Red Hat Summit. Tatiana Della's up on stage there, you know, Red hat. You know he's not hiding at the show. So bring us inside. You know where customers deployments are happening where engineering efforts are working together. You know, we know we've been hearing for years red hats in all of the clouds and partnering all of the merit. So what? What, you know, different or special, about the Microsoft relationship? >>I mean, honestly, I think the relationship is just evolving and growing because our customers were asking for it right there, going towards hybrid and multi cloud type of strategies. They want to be able to take advantage of, you know, running rail within their own data. Centers were running rails specifically on top of Microsoft Azure, but they're also looking at other club service providers. I think it's gonna be mandated eventually at some point in time where customers are gonna start looking at diversification when it comes to running applications, wherever it makes sense, taking advantage of different you know, cloud end of service is different providers. So we've been getting a lot of time like understanding what their needs are and then trying to build the engineering to actually address those needs. I think a lot of that has really come from the co engineering that we have going on. So we have a red head engineer sitting alongside bikers, off engineers, spending a lot of time building things like the Windows distraction layer wsl things along those lines, All >>right, so I'll be a Q Khan in a couple of weeks and kubernetes still, a lot of people don't really understand where it fits Way have been saying in a Cuban eight is gonna be baked into every platform. Red hat, of course, is not really a major contributor but has a lot of customers on open shift. We had Microsoft, you know, this week, talking about as your arc is in preview. But you know, they're they're the David Taunton who does partnership, Engagement says. You know, this does not mean that we will not continue to partner with open shift in the best place to run open shift is on azure. It's the most secure. It's the best. So help us understand his toe. You know where this fits In the overall discussion of that multi hybrid cloud that we were talking about earlier. I >>think everybody wants kind of a single pane of glass for manageability. They want ability to actually look and see where their infrastructure is being deployed. One of the pitfalls of moving to the cloud is the fact that it's so easy to spend a resource is that a lot of times we lose track of where these resource is. Our or individuals leave companies, and when they leave, cos they leave behind a lot of leftover items and instances, and that becomes really costly over a period of time. Maybe not so bad if you have, you know, 100 or 500 instances. But when you talk to some of these enterprise customers that are running 110,000 instances and spending millions of dollars a month, it could get very costly. And not only that, but it could also be a security risk is well, >>so let's talk about security. What kinds of conversations are you having with regard to security and data protection at this conference? >>So you know, one of the biggest things that we've had a lot of customers asking about his redhead insights so ready in sizes away it's a smart management application that actually ties into looking at either workloads or configuration management. It could actually tell you if you have a drift. So, for example, let's say you install sequel server on well, and you miss configure it. You leave the admin account running on it, it can actually alert you and make recommendations for remediation. Or maybe in general, you're using you know, S E. Lennox is disabled. The things along those lines so insights can actually look into, uh, the operating system or the applications and tell you if there's miss configurations all right, >>a lot of discussion about developers here, You know, day to keynote was all about, you know, AP Dev And, like Sathya have been a lot of time talking about the citizen developer. Seems like that would be an intersection between what red hats doing in and Microsoft. >>Um, so I would say, you know, we're obviously very developer first focused right when we built things like Open Shift Way kind of. We're thinking about developers. Before you were thinking about operations, and later on, we actually had to build more of the operations aspects into it. Now, like, for example, in open shift, there's two different portals. There's one for the developer Focus and one for the I T admin focus with operations groups because they want to see what's going on. Developers don't really care specifically about seeing the distraction of where things are. They just want to deploy their code, get it out the door as quickly as they can, and they're really just not too concerned about the infrastructure component pieces. But all of these developers, they want to be ableto right there, applications right there code and deploy it essentially anywhere and everywhere and having the easiest process and We're really just trying to make that as simple as possible, like visual studio plug ins that we have for open shift, you know, Eclipse G and other things. So really, I mean, Red has always been very developer focused first, >>so does that seeing Microsoft Satya Nadella up on the stage talking about this developer first attitude that Microsoft is really embracing the developer. And, as you said at development for all that does seem like a bit of a cultural shift for Microsoft much more aligned with the red hat way and sort of open source. So are you talking about that within without your cut with your colleagues? That red hat, about the change that you've seen the evolution of Microsoft? >>Absolutely. I mean, if you look at, like Microsoft, the contributions that they're putting towards, like kubernetes or even contribution towards open shift, it's It's amazing, right? I mean, it's like the company's gonna complete 1 80 from the way that they used to be. There's so much more open the acquisition of Like Get Hub, for example, all these different changes, it's it's amazing. He's done amazing things with the company. I can't say enough positive things about all the wonderful things that he's done. So >>all right, so Nicholas Red Hat has an interesting position in the marketplace because you do partner with all of the clouds on the environment. While IBM is now the parent owner of Red Hat and they have a cloud, your customers touch all of them. I'm not gonna ask you to competitively analyze them. But when you're talking to customers that are choosing Azure, is there anything that calling out as to why they're choosing Microsoft where you know they have, you know, a advantage of the marketplace or what is drawing customers to them on then? Of course, redhead. With that, >>I think Microsoft is more advanced when it comes to artificial intelligence and machine learning. A, I and ML and computing. I think they're light years ahead of everyone else at this point in time. I think you know, Amazon and Google are kind of playing a little bit of catch up there, Um, and it's showing right. If you look at the power platform, for example, customers are embracing that. It's just it's fantastic looking at a lot of the changes that they've implemented and I think it's very complimentary toe the way that people are starting to build their applications. Moving towards distributed infrastructures, Micro Service's and then obviously cloud native service is as well >>in terms of the future will be. We are really just scratching the surface when it comes to to the cloud. What do you see 5 10 years from now in terms of growth rates and also in terms of the ways in which companies are using the cloud. >>So I kind of like Thio equate it towards, like, the progression that we've had with cars. I know it sounds so simple, but, you know, we went from steam engine to regular piston engines, and now we've gotten to a point where we have electric cars and there's gonna be self driving cars. I think we're gonna get to a point where code is gonna be autonomous in a sense, right self correcting ability to actually just write code and deploy it. Not really having to worry about that entire infrastructure layer. Everybody's calling it server lists. There's always gonna be a server per se, but I think we're gonna have a point where next 5 to 10 years that all of that is gonna be completely abstracted away. It's just gonna be focused on writing the code and machine learning is gonna help us actually evolve that code and make it run faster and make it run better. We're already seeing huge benefits. And when it comes to machine learning and the big data analytics and things on those lines, it's just natural progression. All right, >>love, you know what's top of mine from the customers that you're talking to Earth event. Any new learning is that you've had or, you know, things that have kind of caught your attention. >>I think the biggest thing, honestly, is really been them. The multi cloud Polly Cloud methodology that everybody seems to be embracing. It seems like every customer I'm talking to is looking at trying to avoid that vendor lock and per se, but still have that flexibility to deploy their applications wherever and still utilize cloud Native Service's without actually specifically having to, you know, go completely open source >>and one of the challenges there is every cloud. I need different skills to be able to do them. If I'm deploying it, it's the people and being able to do that. You know, we all lived through that era of trying to do multi vendor, and often it was challenges. So have we learned from what we've done in the past? Can multi cloud actually be more valuable to a company than the sum of its parts? >>I think so. And I think that's the reason why I, like Microsoft, is investing in art. For example, I think those methodologies way No multi clouds, tough. It's never gonna be easy. And so these companies need to start building in developing platforms for it. There needs to be be great if there were standard AP ice and such right, but they're never gonna do something along those lines. But I think the investments that they're putting forth now are gonna make Multiplied and Polly Cloud a lot easier in the future. And I think customers are asking for it. Customers ask for it, they're gonna build it. >>What does this mean for the workforce, though? In in terms of the kinds of candidates that cos they're going to hire because, as we said, it does require different skills and and different capabilities. So how what's your advice to the young computer scientists coming up in terms of what they should be learning. And then also, how do you think companies are making sensible of this? >>So I know from a company respectable. It's challenging a lot of companies. Especially, for example, I was talking to a very large financial institution, and they were saying that their biggest issue right now is hiring talented people to deal with Micro Service's kubernetes. Any time to hire someone, they end up getting poached by the big cloud companies. So you know, it's one of those things where people are gonna have to start diversifying their talents and look at the future. So I mean, obviously, Micro Service's are here. They're gonna continue to be here. I would say people should invest in that. But also look a server Lis, you know, I definitely think serverless these days towards the future. And then when it comes to like learning skills of multi club, I think cloud competing, that's just the number one growing in general. >>So since you didn't bring up server Lis, you know, today I hear serverless and most customers that I talked to that means a W s number two in the space probably is Microsoft, but there's efforts in to try to help, you know, give a little bit of open source and standardization there. Where's Red Hat? Stand on this. What do you see? What from Microsoft? What are you hearing from customers? >>Were heavily contribute all the different, you know, projects, trying to make server lists like easier to use and not so much specific vendors, Right? So whether that's, you know, Apache, spar or whatever you want to consider it to be, were trying to invest. Invest in those different types of technologies. I think the main issue we serve earless right now is we still don't really know how to utilize it effectively. And it's still kind of this gray area in a sense, right? It's cutting edge, bleeding edge emerging technologies. And it's just, in my opinion, it's not perfectly ready for prime time. But I think that's specifically because there's just not enough people that are actually invested in it. This point in time. So >>So what are you gonna take back with you when you head back to Phoenix from from this conference? What are the things that have sparked your interest the most. >>Gosh, I live, I would probably have to say, Really digging in deep on the Ark announcement. I think that's the thing that I'm most interested in, understanding how how we can actually contribute to that and maybe make that plug double for things like open Shift. You know, whether it's open shift on premise, open shit, running in the cloud on another, Well, architecture's, you know, things like insights. Being able to plug into that, I really see us trying to work with Microsoft to start building those things. >>Well, Nicholas, thank you so much for coming on. The cubit was really fabulous conversation. Thank you. I'm Rebecca Knight for Sue minimum. Stay tuned for more of the cubes. Live coverage from Microsoft ignite.

>>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. We are in day three of three days of wall-to-wall coverage, all things Microsoft. I'm your host, Rebecca Knight. Along with my cohost Stu, a minimum. We are joined by Martina grom. She is the CEO at work of at work in Vienna and a Microsoft MVP. >>Thank you so much for coming on the show. My tags for the invitation. I'm glad to be here. So tell us a little bit about at work, what do you do? So, so what we are doing, we are an ISV located in Australia and in Germany we are around 25 people and we do software development on the one side. And on the other side we support customers in going into the cloud to develop a deployment strategy to use Microsoft technology and yeah, governance, deployment, migration. And recently we also started with adoption and change management because it's a huge topic for many customers. So who >>are your customers? What, what kinds of industries are they in? >>Yeah. So, um, we actually do not focus on a specific industry. We are more focusing on enterprise customers. So every, every customer was a large customer. So one friend once told me, you like the complicated cases. So I like to work with enterprises and learn what they are doing from a security perspective and how they do that. And we have customers in the financial sector as well as in retail business. So all over that and mainly in Europe we have some customers in the U S as well. >>So, so Martina, I know from a Microsoft MVP standpoint, you focus on Oh three 65 is, is that the primary engagement that you have with customers or is it a span of product? >>Yes. Yeah. The interesting part is I started with Microsoft three 65 in 2008 when Microsoft started going into the cloud business. So that time back, my first product I looked at was exchange hosted services, which was the antivirus, anti-spam solution. Microsoft provided. And then, um, every single partner first told us, Matina you will never earn money with cloud technologies because no customer will do that. Everyone was still on premises. And in 2011 I got the MVP award because I was one of the first to focus so heavily on office three 65. And the benefit I have out of that is that I know all products services quite well. And currently I'm more focusing on the security and compliance side. >>Yeah, it's interesting because today when I talked to Microsoft customers in on premises to the exception and it's usually, Oh, I'm a government agency and I need to be completely cut off from certain environments, so therefore I can't do it. Um, you know, I, I've said for the last few years, Microsoft actually gave customers not only the green light, but the push to go sass with what they're doing. So tell, tell, give us a little bit of, you know, the landscape today is, is that, is that the exception rather than the rule and are most people kind of okay with O three 65 in the cloud? >>Yeah, I, I think cloud services, it's a matter of trust. So as I am located in Europe, we um, and especially in the German speaking countries like Austria, Germany, Switzerland, many people just didn't trust it from the beginning because they said it's a American company. We don't know where all our data is. Antawn at Microsoft is very open and um, and what the did, they are very transparent what they are doing. So you get tons of material around how to trust the cloud, how it works and so on. And the current state is more for an on premises customer. He is safer to go into a cloud service then stay on premises. And this is one of the things I really like about that because it's, it doesn't depend on the customer side. Even a small customer can have the same security features a large enterprise customer has. >>Okay. If you could just expand on that a little bit because you know, for the longest time security was the blocker to do there. And for many now looking at the cloud, it at least it lets me restart and rethink what I'm doing as opposed to, you know, often security was something that got pushed to the back burner in my data center. So is it that Microsoft has, you know, all of the security taking care of, is it a combination of getting to restart and rethink of it? How do you look at that? >>Um, I think the main point is traditionally when you are on premises, you think your data center is secure because you own it, you hosted, you organize it, you operate it and everything is there. And we are very an and those customers are very focused on endpoint security. So everything comes from the outside. Uh, might be dangerous. But with cloud technologies, it's not only your, your own network you need to just to have a safe place for, you also need to secure the cloud services. And that means if you broaden that experience and going into a SAS service, you have much more security there. In terms of the talking at the very beginning where you said, I liked the complicated cases, so we know you like a challenge. And then you also said you're getting into more adoption and change management. Talk about some of the challenges that you're seeing in terms of your clients embracing this, this, this technology. >>Yeah, so from my perspective, one of the biggest challenges customers currently have is Microsoft is moving very fast and people need to change and get comfortable with an evergreen service, which might change today and might change next week again. And this is something people need to adopt and, and use put a lot of pressure on that because they say, Oh, there are the nice, fancy tools, the new tools, it's teams, it's everything else. And we need that to do, to work properly and to be in a modern workplace. And this is quite the challenge for every it operations team because they need to build a secure environment. It needs governance and it also needs change and adoption. Okay. >>Martina, you mentioned the modern workplace. So another area you work on is enterprise social. So, you know, I worked for a large enterprise, you know, a vendor in this ecosystem back when that, you know, social wave was hitting, you know, use jive, uses Yammer when it first launched long before Microsoft had uh, brought it, um, you know, we don't talk about the wave anymore. Bring us, you know, what's happening in that space these days. >>Yeah. So enterprise, social and I love being there as well because I, I try to get people, so what, what I saw what, what I saw when Microsoft acquired Yama, it brought a lot of change into Microsoft itself because um, there was currently a graph technology in a, in, in Yammer as a product which brings up more relevant content to the users and people really liked that. And then you saw all the collaboration, which is mainly document based on SharePoint, SharePoint, online and so on. And currently those, um, services come together and then after a couple of years you got Microsoft teams and people that again got confused and that, so this is the next tool helped me what tools I use when, and that's one of the biggest question many customers have currently because they probably don't understand it from the beginning, but if they start adopting that, the use cases become pretty clear for them. >>That to say we work in teams in our project environment, but we, if we want to reach the whole organization, we go into Yammer or in an enterprise social tool. >> So talk about, there's been a lot of new changes to teams that have been announced this week here at ignite. What as an acre slapped MPP? What is most sparking your interest? Um, I'm not a Microsoft employee, but a VP, sorry. Yeah. Um, so what I like about that is that teams brings kind of a good user experience to use as they have one client. They have the outlook client, they have the teams client and they can work within the team. In Microsoft teams, they can use it for video calls, for conferences, anything. So it's, it's a one stop shop defined in teams and with the extension which is brought now in, in with the new Yammer experience, they also have the broad experience of the enterprise social network integrated into their teams client. And this will bring a fundamental change because then a project team which is working together can also look out of one client. What is going on in my organization. Are there any questions? Can I share that? And Tom, >>Martina, I want to go back to a word that you brought up. When you talk about the cloud, it's trust. It's something that we heard over and over. And again, the keynote is Sacha positioning Microsoft as a trusted partner. A, they've got, what? What's it 47, sorry, 54 different Azure regions worldwide. So, uh, you know, are they local enough? Are they engaged enough? Is Microsoft earning the trust of you as a partner and as your customers, do they, they seem Microsoft as a trusted partner? >>Yeah. So from my experience, Microsoft is a trust verse it company. Because what, what I learned from them during their whole cloud journey, they got a lot of push backs. In the beginning they said it's, it's just in the European union, we don't like that. We want our data centers, which are closer to us because it feels more secure if I have a data center region in South Africa, in France, in Switzerland or wherever I am. And Microsoft invests a lot in building that trust and it's completely transparent what they are doing. So you can go to the websites and can say, okay, I'm located in Switzerland. Um, I want my data in there, so what services to get there. So it's really, um, a good opportunities for customers. And also what I learned from customers is if you see a service running and you do not use it, you can't build up on trust because you just don't know. >>It's like swimming in the air without any water. So, and this is many customers just saw and they, um, they discovered, okay, it works, it doesn't fail. We can trust on the solution. And this is really important. You said that you mainly work with European customers, a few in the U S what do you think are the biggest differences between the two groups? Our European customers naturally a little more skeptical, particularly when it comes to data. It's um, in Europe we are very specific in data privacy and the thing that might be a difference between the U S and and Europe, especially in German, that people really look at privacy issues and could that happen on, and then we have GDPR, which was brought up by the European union, which would bring additional trust and security into our customers and on every single website we are surfing on. So I think that's one of the biggest differences from an enterprise side. The, the fears are quite the same. It's, it's like we are going to the cloud and we need to use a service and how can we work through that? I do not see that many differences. So >>Martina, you were proven right? You bet early on a technology adoption has been there. As you're looking forward, what are the things that, that we are early on today that are exciting you or that you think we're going to be talking about 2020 and beyond? >>Yeah. What I think what will come to us is more intelligence and more AI stuff because this is something which will really help us. And you see the, the little small things in PowerPoint that you get your beautiful designed PowerPoint slides automatically that your auto client says, Hey, you have an appointment, you have a really recording in five minutes, you need 10 minutes to go. Should I send an email that you are running late? So we will see much more intelligence in there. And also the new projects which, which are brought, they are, so knowledge sharing will be fundamental in the future that we find the resources we need and they're relevant what we need in, in, in the, in the time we need it. So what does this mean for the future? I mean you're just describing a, a world in which we all can be more productive. >>We are communicating more seamlessly. What does this mean for how teams communicate and collaborate? Yeah. Um, so what does think every positive side also might have a negative side? We go into an always on scenario, so we will be connected everywhere at home during cooking, doing, bringing kids to school and so on. So what I think what we as humans need to learn is how we can separate us from that and how we can just quiet down and get some space left out of the full amount of information which is around us because we can't get every single information and to see that very often when I talk with customers, have around Yammer, they said it's just too much. I have to read so much information because you feel you are losing control and you are losing information and this is what we need to learn as humans. >>Any, you know, what, what guidance do you give to people? The, the world of streams, right? I remember social media, they were like, Oh my gosh, I didn't look at it for the weekend. How do I, you know, look at all of that stuff that I missed. And usually I just frame, I'm like, you ignore everything that you missed and you start where it is today. But it's different in a work environment. >>Yeah. In a work environment. So my advice for customers is everything that I tell you at Tecton is interesting for you. If you're not tech, it's probably not for you. So this is the main curse. It's like unread emails or it's like the little notification bar. You got a message, a personal message to one-to-one message, then you should react on that. That's it. And not read everything because it's probably not relevant for you at. That's great advice. Words to live by. Thank you so much for Martina. Yeah. Pleasure having again, I'm Rebecca Knight for two minimums. Stay tuned for more of the cubes live coverage from Microsoft ignite..

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Good afternoon everyone and welcome back to the cubes live coverage of Microsoft ignite 26,000 people here at this conference at the orange County convention center. I'm your host, Rebecca Knight, alongside my cohost Stu Miniman. We are joined by Seth Juarez. He is the cloud developer advocate at Microsoft. Thank you so much for coming on the show. >>Glad to be here. You have such a lovely sad and you're lovely people. We just met up. You don't know any better? No. Well maybe after after the end of the 15 minutes we'll have another discussion. >>You're starting off on the right foot, so tell us a little bit about what you do. You're also a host on channel nine tell us about your role as a, as a cloud developer. >>So a cloud advocate's job is primarily to help developers be successful on Azure. My particular expertise lies in AI and machine learning and so my job is to help developers be successful with AI in the cloud, whether it be developers, data scientists, machine learning engineers or whatever it is that people call it nowadays. Because you know how the titles change a lot, but my job is to help them be successful and sometimes what's interesting is that sometimes our customers can't find success in the cloud. That's actually a win for me too because then I have a deep integration with the product group and my job is to help them understand from a customer perspective what it is they need and why. So I'm like the ombudsman so to speak because the product groups are the product groups. I don't report up to them. So I usually go in there and I'm like, Hey, I don't report to any of you, but this is what the customers are saying. >>We are very keen on being customer centered and that's why I do what I do. >> Seth, I have to imagine when you're dealing with customers, some of that skills gap and learning is something that they need to deal with. You know, we've been hearing for a long time, you know, there's not enough data scientists, you know, we need to learn these environments. Satya Nadella spent a lot of time talking about the citizen developers out there. So you know H bring us inside the customers you're talking to, you know, kind of, where do you usually start and you know, how do they pull the right people in there or are they bringing in outside people a little bit? Great organization, great question. It turns out that for us at Microsoft we have our product groups and then right outside we have our advocates that are very closely aligned to the product groups. >>And so anytime we do have an interaction with a customer, it's for the benefit of all the other customers. And so I meet with a lot of customers and I don't, I'm to get to talk about them too much. But the thing is I go in there, I see what they're doing. For example, one time I went to the touring Institute in the UK. I went in there and because I'm not there to sell, I'm there to figure out like what are you trying to do and does this actually match up? It's a very different kind of conversation and they'd tell me about what they're working on. I tell them about how we can help them and then they tell me where the gaps are or where they're very excited and I take both of those pieces of feedback to the, to the product group and they, they just love being able to have someone on the ground to talk to people because sometimes you know, when work on stuff you get a little siloed and it's good to have an ombudsman so to speak, to make sure that we're doing the right thing for our customers. >>As somebody that works on AI. You must've been geeking out working, working with the Turing Institute though. Oh yeah. Those people are absolutely wonderful and it was like as I was walking in, a little giddy, but the problems that they're facing in AI are very similar. The problems that people at the other people doing and that are in big organizations, other organizations are trying to onboard to AI and try to figure out, everyone says I need to be using this hammer and they're trying to hammer some screws in with the hammer. So it's good to figure out when it's appropriate to use AI and when it isn't. And I also have customers with that >>and I'm sure the answer is it depends in terms of when it's appropriate, but do you have any sort of broad brush advice for helping an organization determine is is this a job for AI? Absolutely. >>That's uh, it's a question I get often and developers, we have this thing called the smell that tells us if a code smell, we have a code smell tells us, maybe we should refactor, maybe we should. For me, there's this AI smell where if you can't precisely figure out the series of steps to execute an algorithm and you're having a hard time writing code, or for example, if every week you need to change your if L statements or if you're changing numbers from 0.5 to 0.7 and now it works, that's the smell that you should think about using AI or machine learning, right? There's also a set of a class of algorithms that, for example, AI, it's not that we've solved, solved them, but they're pretty much solved. Like for example, detecting what's in an image, understanding sentiment and text, right? Those kinds of problems we have solutions for that are just done. >>But if you have a code smell where you have a lot of data and you don't want to write an algorithm to solve that problem, machine learning and AI might be the solution. Alright, a lot of announcements this week. Uh, any of the highlights for from your area. We last year, AI was mentioned specifically many times now with you know, autonomous systems and you know it feels like AI is in there not necessarily just you know, rubbing AI on everything. >> I think it's because we have such a good solution for people building custom machine learning that now it's time to talk about the things you can do with it. So we're talking about autonomous systems. It's because it's based upon the foundation of the AI that we've already built. We released something called Azure machine learning, a set of tools called in a studio where you can do end and machine learning. >>Because what what's happening is most data scientists nowadays, and I'm guilty of this myself, we put stuff in things called Jupiter notebooks. We release models, we email them to each other, we're emailing Python files and that's kinda like how programming was in 1995 and now we're doing is we're building a set of tools to allow machine learning developers to go end to end, be able to see how data scientists are working and et cetera. For example, let's just say you're a data scientist. Bill. Did an awesome job, but then he goes somewhere else and Sally who was absolutely amazing, comes in and now she's the data scientist. Usually Sally starts from zero and all of the stuff that bill did is lost with Azure machine learning. You're able to see all of your experiments, see what bill tried, see what he learned and Sally can pick right up and go on. And that's just doing the experiments. Now if you want to get machine learning models into production, we also have the ability to take these models, version them, put them into a CIC, D similar process with Azure dev ops and machine learning. So you can go from data all the way to machine learning in production very easily, very quickly and in a team environment, you know? And that's what I'm excited about mostly. >>So at a time when AI and big and technology companies in general are under fire and not, Oh considered to not always have their users best interests at heart. I'd like you to talk about the Microsoft approach to ethical AI and responsible AI. >>Yeah, I was a part of the keynote. Scott Hanselman is a very famous dab and he did a keynote and I got to form part of it and one of the things that we're very careful even on a dumb demo or where he was like doing rock paper, scissors. I said, and Scott, we were watching you with your permission to see like what sequence of throws you were doing. We believe that through and through all the way we will never use our customers' data to enhance any of our models. In fact, there was a time when we were doing like a machine learning model for NLP and I saw the email thread and it's like we don't have language food. I don't remember what it was. We don't have enough language food. Let's pay some people to ethically source this particular language data. We will never use any of our customer's data and I've had this question asked a lot. >>Like for example, our cognitive services which have built in AI, we will never use any of our customer's data to build that neither. For example, if we have, for example, we have a custom vision where you upload your own pictures, those are your pictures. We're never going to use them for anything. And anything that we do, there's always consent and we want to make sure that everyone understands that AI is a powerful tool, but it also needs to be used ethically. And that's just on how we use data for people that are our customers. We also have tools inside of Azure machine learning to get them to use AI. Ethically. We have tools to explain models. So for example, if you very gender does the model changes prediction or if you've very class or race, is your model being a little iffy? We allow, we have those tools and Azure machine learning, so our customers can also be ethical with the AI they build on our platform. So we have ethics built into how we build our models and we have ethics build into how our customers can build their models too, which is to me very. >>And is that a selling point? Are customers gravitating? I mean we've talked a lot about it on the show. About the, the trust that customers have in Microsoft and the image that Microsoft has in the industry right now. But the idea that it is also trying to perpetuate this idea of making everyone else more ethical. Do you think that that is one of the reasons customers are gravitate? >>I hope so. And as far as a selling point, I absolutely think it's a selling point, but we've just released it and so I'm going to go out there and evangelize the fact that not only are we as tickle with what we do in AI, but we want our customers to be ethical as well. Because you know, trust pays, as Satya said in his keynote, tra trust the enhancer in the exponent that allows tech intensity to actually be tech intensity. And we believe that through and through not only do believe it for ourselves, but we want our customers to also believe it and see the benefits of having trust with our customers. One of the things we, we talked to Scott Hanselman a little bit yesterday about that demo is the Microsoft of today isn't just use all the Microsoft products, right? To allow you to use, you know, any tool, any platform, you know, your own environment, uh, to tell us how that, that, that plays into your world. >>It's, you know, like in my opinion, and I don't know if it's the official opinion, but we are in the business of renting computer cycles. We don't care how you use them, just come into our house and use them. You wanna use Java. We've recently announced a tons of things with spraying. We're become an open JDK contributor. You know, one of my colleagues, we're very hard on that. I work primarily in Python because it's machine learning. I have a friend might call a friend and colleague, David Smith who works in our, I have other colleagues that work in a number of different languages. We don't care. What we are doing is we're trying to empower every organization and every person on the planet to achieve more where they are, how they are, and hopefully bring a little bit of of it to our cloud. >>What are you doing that, that's really exciting to you right now? I know you're doing a new.net library. Any other projects that are sparking your end? >>Yeah, so next week I'm going to France and this is before anyone's going to see this and there is a, there is a company, I think it's called surf, I'll have to look it up and we'll put it in the notes, but they are basically trying to use AI to be more environmentally conscious and they're taking pictures of trash and rivers and they're using AI to figure out where it's coming from so they can clean up environment. I get to go over there and see what they're doing, see how I can help them improvement and promote this kind of ethical way of doing AI. We also do stuff with snow leopards. I was watching some Netflix thing with my kids and we were watching snow leopards and there was like two of them. Like this is impressive because as I'm watching this with my kids, I'm like, Hey we are at Microsoft, we're helping this population, you know, perpetuate with AI. >>And so those are the things it's actually a had had I've seen on TV is, you know, rather than spending thousands of hours of people out there, the AI can identify the shape, um, you know, through the cameras. So they're on a, I love that powerful story to explain some of those pieces as opposed to it. It's tough to get the nuance of what's happening here. Absolutely. With this technology, these models are incredibly easy to build on our platform. And, and I and I st fairly easy to build with what you have. We love people use TensorFlow, use TensorFlow, people use pie torch. That's great cafe on it. Whatever you want to use. We are happy to let you use a rent out our computer cycles because we want you to be successful. Maybe speak a little bit of that when you talk about, you know, the, the cloud, one of the things is to democratize, uh, availability of this. >>There's usually free tiers out there, especially in the emerging areas. Uh, you know, how, how is Microsoft helping to get that, that compute and that world technology to people that might not have had it in the past? I was in, I was in Peru a number of years ago and I and I had a discussion with someone on the channel nine show and it was absolutely imp. Like I under suddenly understood the value of this. He said, Seth, if I wanted to do a startup here in Peru, right, and it was a capital Peru, like a very industrialized city, I would have to buy a server. It would come from California on a boat. It would take a couple of months to get here and then it would be in a warehouse for another month as it goes through customs. And then I would have to put it into a building that has a C and then I could start now sat with a click of a button. >>I can provision an entire cluster of machines on Azure and start right now. That's what, that's what the cloud is doing in places like Peru and places that maybe don't have a lot of infrastructure. Now infrastructure is for everyone and maybe someone even in the United States, you know, in a rural area that doesn't, they can start up their own business right now anywhere. And it's not just because it's Peru, it's not just because it's some other place that's becoming industrialized. It's everywhere. Because any kid with a dream can spin up an app service and have a website done in like five minutes. >>So what does this mean? I mean, as you said, any, any kid, any person or rural area, any developing country, what does this mean in five or 10 years from now in terms of the future of commerce and work and business? >>Honestly, some people feel like computers are art, stealing, you know, human engineering. I think they are really augmenting it. Like for example, I don't have to, if I want to know something for her. Back when, when I was a kid, I had to, if I want to know something, sometimes I had to go without knowing where like I guess we'll never know. Right? And then five years later we're like, okay, we found out it was that a character on that show, you know? And now we just look at our phone. It's like, Oh, you were wrong. And I like not knowing that I'm wrong for a lot longer, you know what I'm saying? But nowadays with our, with our phones and with other devices, we have information readily available so that we can make appropriate response, appropriate answers to questions that we have. AI is going to help us with that by augmenting human ingenuity, by looking at the underlying structure. >>We can't, for example, if you look at, if you look at an Excel spreadsheet, if it's like five rows and maybe five columns, you and I as humans can look at and see a trend. But what if it's 10 million rows and 5,000 columns? Our ingenuity has been stretched too far, but with computers now we can aggregate, we can do some machine learning models, and then we can see the patterns that the computer found aggregated, and now we can make the decisions we could make with five columns, five rows, but it's not taking our jobs. It's augmenting our capacity to do the right thing. >>Excellent. We'll assess that. Thank you so much for coming on the Cuba. Really fun conversation. >>Glad to be here. Thanks for having me. >>Alright, I'm Rebecca Knight for Stu minimun. Stay tuned for more of the cubes live coverage of Microsoft ignite.

>>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 cohost. We are joined by Jeffrey Snuffer. He is a technical fellow, Oh three 65 intelligence substrate at Microsoft. Most famous for being the father of PowerShell and one of the key architects of the window server. Thank you so much for coming on, for returning to the show. Yeah, thanks. It's great to be back. So first of all, define your, you're relatively new to this role, so tell us a little bit about what you're doing and what is the intelligent substrate. >> Yes, so you know, a lot of people get this confused as intelligence substrate. There's all three 65 the Microsoft graph. And when I do, as I say, Hey, the best way to think about this as an analogy to an operating system, operating systems are complex, but at the end of the day, they're really, really simple. >>They only do three things. They manage and protect resources. They provide services for developers, right services, API APIs and common controls. And then they provide a base set of applications and a way to get additional applications. So windows manage, CPU, memory, the services when 32 API eyes and then the applications like the browser, et cetera. So all three 65 can really be viewed as an operating system. Sounds strange. Why? Because most operating systems have been operating systems for devices, an operating system for phone, an operating system for a PC and operating system for a server. This is an operating system for people and organizations. So when we think about those three responsibilities, resources and you know, protecting and managing resources, these are the resources for people in organizations. So it's their identity, their, their emails, their chats, their documents, services for developers. These where there's wind 32 for windows, we have ms graph, that's our public API, but then we have services to be able to create, collaborate and communicate documents and interactions. >>And then the applications are things like teams and outlook, et cetera. And so then, Oh, sorry. Then the substrate, the substrate, sort of at the core of it. That's one of our core services. It is storage and then a set of services to manage that and set of services. So the storage is basically a planetary scale, no sequel data store. So every time you create a chat and email document or whatever, it gets stored in the substrate and then three additional copies are created, one of them at least 250 miles away. That's why our date availability and high availability are one thing. So everything gets stored there and then that allows us to do common services like search against it. Does that make sense, >>Jeffrey? Well, one of the biggest challenge people have is when you learn about something and then it has changed an awful lot. Yeah. I think back to the first time I used Microsoft word, Microsoft Excel, it wasn't connected to the internet exactly. Let alone talking about the era of global scale in AI and all of these things that can do in. So maybe give us a fresh as if I'm a brand new person and I, you know, I don't have the, you know, all of the legacy history with the Microsoft office family. What, what is the new, you know, people O us that you're talking about? >>Yeah. So I like to think of it as a back to the original office 1.0, if you remember the original office 1.0, you'd had word, Excel and PowerPoint. And I like to joke, I say it was integrated with the advanced technology at that day of called cardboard, right? We just took the, the, the floppy disks from each one of those products, put it in a cardboard box and said it's a suite. But then it was a vision to a vision of how things should work together to help the individual. And then after that version one, then we reorganized the organization to have common technology teams. And that's when we started to get common controls, common user experience, et cetera, common file formats. Uh, and then it became a true integrated suite. Same thing happened when we went to the cloud. We had all these products that would have a front end couple to a back end, another front end, couple to a back end, another front end coupled a backend. >>Each one would have one or more SDKs, et cetera. And when we first brought them to the cloud, it was the same sort of thing, integrate it with an offering and a name. But there was a vision there. And then that vision drove the reality. And what we did was we said, Hey, let's figure out how to have a common storage for these things. Common backend, a common way to communicate, a common way to do messaging. And then that took a number of years. But that's what drives this consistency. And so that's why when you go and you say, I would like to search for something, you'll find that term, whether it's in your word documents or it's in your emails or your team chats or anything. It's that commonality that makes it answered question. It >>does. Um, so it's, I think about, you know, the era of collaboration and, you know, there were competitors to Microsoft that came out that were built on the internet and you know, deliver those solutions. So this week we've talked to, we haven't dug deep deep into teams, but everyone we've talked to that's using it, it's like, no, really this is a really great product and almost like, you know, forget about some of the things you might have remembered through some of those iterations and changes and things not working together. You know, teams has been built and is allowing some great collaboration, communication with remote workers, smaller businesses, the likes. So it's tough because especially if you're using one tool and you've gone over to some other tool set, it's like, Oh, I don't, why would I go back to that? But it's a very different, uh, Microsoft productivity suite today than, than we might have used in the past. >>That's exactly correct. And then the, into the, uh, uh, intelligent substrate is this layer of AI on top of the substrate, right? So part of that is search, but then we're also doing natural language processing. So basically imagine you saw a store of file in in a one drive that gets stored in one drive and a workflow gets kicked off and that workflow then goes and analyzes the contents of that file and create search terms, et cetera. So we then have common search and then we've got natural language processing that'll go and find, Hey, what are the key points for that document? How do I summarize that document? So then if you see it somewhere you can say, Oh, show me the file card. And I'll say, here's this document. You don't have to read the whole thing. Here are the three key points about it. >>And so the, this is, so to answer the question, why would a, why would a platform guy be working in office? It turns out that to build this AI infrastructure, it's really sort of a platform play. There's key advances that need to be made in, in AI. But actually when you get involved in AI, what you realize is what we really need is more engineering than more science. We need more science, no doubt about it. But boy, is there a need for engineering? Like I need to figure out how to get three to five to seven orders of magnitude more volume of AI going through the system. So when you talk about these key advances in AI that need to be made in terms of of applying them to O three 65 describe them for us and talk about how they will change the future of work and the way we collaborate with our team members in the way we communicate with our team members and, and in our productivity. >>Yeah. So this is where I get so excited about Microsoft's play, right? Because when I decided at the end of last year that I was gonna make a new change, I had a number of opportunities both inside and outside the company. And so the, the thing that really made me say, this is where I want to go was, well, one, it was most important new technology, AI on our most precious business asset, our customers data. So that was very exciting for really got me over the edge was Microsoft's approach to AI. Microsoft takes a very different approach to AI than our competitors, right? The heart of most AI is trying to figure out you and you to achieve some result. Now our competitors do that to try and get you to click a button to buy an ad or to buy something you don't need or subvert some government that they want subverted, right? >>That's none of our peg objectives. We want to understand you for exactly one reason to make you successful, right? How do we, like in the past, people would throw the rock at Microsoft, say, Oh, you know, when I use Microsoft products, I got to understand the Microsoft org chart. You know, you ship my org chart. What they're really saying is that they have to understand the tools to get their job done. They have to navigate the tools. What we're trying to do is have the tools understand the person to help the person, help that person get their job done. So there's this great show, I think it was called the remains of day today, the movie with Anthony Hopkins, he played a Butler. And in that he did some research and he talked to the Butler of Buckingham palace who'd been there for 50 years and he said the essence of a great Butler is that he makes the room emptier when he enters. >>What's that mean? Well, when the, when someone sits down the magazine that they want, is there, the drink that they want is there. It just, it just all works out. Well, that's not my experience with computers today. I mean, how many times do you, you know, you end up at the end of the day and you're like, your spouse says, what'd you do to you day? You're like, wow, I dunno. I dunno. I'm just exhausted. Well, it shouldn't, doesn't have to be that way. What we want to do is to have the computer understand you, understand your objectives and not have some big splashy AI. It just, Oh, things just work. Oh, I'm coming to this meeting. Oh, the information I need for that meeting is just there. Oh, it prepped me and knew that I had a few minutes. And so it gave me a few minutes where it's a prep and things just flow. And at the end of the, you know, success will be when you end the day with more energy than you start it. Like that's a big tall tale, a big tall effort. But that's where we're going for that. Get stalled. >>Yeah. Well we, we found that the, the word that has summarized this week for us is one that Satya said over and over again and it was trust. So in today's day and age, there's a lot of cynicism and especially looking at big tech companies, you did a presentation talking about AI in social responsibility. You tease out a little bit of it there as to why you believe Microsoft is well intentioned with AI, but maybe share a little bit more about that vision for social responsibility and you know, where we need to go with AI as an industry as a whole. >>Yeah, exactly. So there's kinda two key points. First is I think there's a, a very vast, uh, misunderstanding of the state of AI Kang. It really is best understood as software 2.0 and we've been at software 1.0 for about 75 years and I don't think anybody thinks we're doing a particularly great job at event. I think we've started to make progress starting around the 1990s with the, with the core principles of, of uh, the worldwide web. That's when we started to really make some progress. But we still have lots of world's problems. So we're at software 2.0 we're at the very beginning of the beginning of the beginning. Now here's the point. The innovators set the field, the innovators set the path. And in AI it's important for Microsoft to be one of the key innovators here because of our approach, because we're standing up and saying, wait, there's great promise. >>There's great challenges, right? There are privacy challenges. There's data bias challenges, there's inclusivity challenges. There are things that really need to be addressed by governments, local legislation and global governments. Brad Smith has been particularly vocal on this and the need for a digital, the only way you're going to solve the problem of autonomous killer robots, which is a real thing, is by a digital Geneva convention. We, Microsoft can't solve that. IBM can solve that. Google can't solve that. Governments need to solve that. And so Microsoft is being very proactive in engaging the communities around these problems. For myself, for instance, I've been working with some of the security researchers to say, okay, well, software 2.0 how do you do threat model on machine learning? Nobody knows. Like literally nobody knows. And so we've been working over the course of the last year to produce a taxonomy of attacks. Now this is the initial thing, but it sparks a conversation as we've shown it to various government people and other, uh, competitors. Uh, they're very excited about this, about trying to join this in, to identify the class of attacks. Because once you can understand the class of attacks, then you begin understanding, well, how do I defend against those? But literally it doesn't exist. So, >>so talking about autonomous killer robots, I'm very worried now. So how do you, Jeffrey said you're talking about Microsoft's more measured approach and as you said, you are working with governments and work in reaching out to policy makers and regulators to talk about these things. Maybe unlike some other technology companies that aren't doing that. How do, are you a tech optimist at the end of the day or are you, but does it keep you up at night these, these, Nope. Nope, >>not at all. Not at all. No. I'm a wild Technomic dumbest people like are very pessimistic and I just like, yeah. You know, no. Like, let me give you an example, right? There's this, this thing that says, Oh, an autonomous car turns the corner at a high speed and it has to decide between killing two old man and a and a woman in a baby carriage. Right? And it's wide. This is a Philip philosophic philosophy problem called the trolley problem. Oh, a trolley driver has to pull a switch a, uh, and it was like over a hundred years old in the a hundred plus years that that's upon posited, there's been exactly zero trolley drivers ever put in this position. Just, it's just not an issue. Look, there are real issues. We do have to work these things. I'd say the biggest worry is not these killer robots or the autonomous cars going wild. >>It is complacency. It is overconfidence. It says, Oh, I got something to work. Let's just ship it. Like there's a lot of brittleness in these AI systems, right? Like, Oh, this works and it can be spectacular, but then this is a complete disaster and that's a complete disaster. So how do we get that taxonomy of like, Hey, when do we know when we're done? How do we test these things? How do I have like a, a secure supply chain for the data models as well as the code itself? You know, so. So I think that software one no doubt does not provide us any of the answers to the challenges of software 2.0 but I do believe that software 1.0 and its challenges tell us the areas that we need to apply our, our mindset to. And that's what we're doing. So >>Jeffrey, before we let you go, we do need to get the update on PowerShell. I have to say, ever since I've first talked to you, I feel like more and more when I go to shows, I hear people just talking about how it's helping their career, helping their business and in doing it, I don't know if it's just because you know, it was brought to the front of the mind and it's like, Oh no, I'm used to seeing that car model out there. But can you give us the latest on power shell even though you're no longer in that group? Oh yeah. I continue to meet with them all the time. >>I'm very active in PowerShell. So we took power shell and made a cross platform to run analytics. We've talked about that and I don't know where we were when we talked about that, but basically we sort of did it for our own purposes, right? We need to manage the world's estate and so we want to have a common infrastructure for doing that. And the joke was that the point is like, look, we're not confused. We don't think that the Unix people are going to greet us as liberator's. Like all, thank heavens, you know, I've been dying under this bash and such. Thank God Microsoft came to save us, right? There's no confusion. We'll surprise. We shifted and then the vast majority, the numbers are crazy. How many Linux people are using PowerShell. It's just insane and we don't really understand it. We're out there talking to people, but they just love it. >>So anyway, so PowerShell version seven is coming out. It'll come out officially at the end of the year, beginning of next year, and this really is the tool that then you can use to manage everything. Both windows and Linux. We have parallel for each, so you can do massive scale. But that's the one that really just brings all the pieces together and gains the critical mass. So we're very excited about it. always a scintillating conversation when you come on the show. Thank you so much for coming on. Thank you. I'm Rebecca Knight for Stu Miniman. Stay tuned for more of the cubes live coverage of Microsoft ignite.

>> Announcer: Live from Orlando, Florida, it's theCUBE, covering Microsoft Ignite, brought to you by Cohesity. >> Good morning, everyone, and welcome back to theCUBE's live coverage of Microsoft Ignite. 26,000 people from around the world have descended onto the Orlando, here in Orlando, for Microsoft Ignite. I'm your host, Rebecca Knight, along with my cohost, Stu Miniman. We are joined by Christina Warren. She is the senior cloud advocate at Microsoft. Thank you so much for coming on the show. >> Thanks so much for having me. >> So I'd love to have you talk a little bit about your work as a senior cloud advocate. And you are responsible for a lot of the video strategy of Channel 9. >> Yeah, I am. So we have a cloud advocacy scene within developer relations, and most of our advocates are focused on either kind of a specific technology area or a specific audience. I'm a little bit different in that I am kind of of a, I call myself, I'm kind of a jack of all trades, master of none. So I go across a lot of different technology areas, but I look at our video content and our video strategies that we have at Channel 9 and our YouTube channel, Microsoft Developer, and some of our other channels, and I think about what are they types of stories we want to tell, what's content do we want to create for our audience, and how can we bring new developers into our ecosystem, as well. >> So what are those stories? I mean, what do you, what are you hearing from customers and what are you hearing also from colleagues at Microsoft that say, "Here's something that we need to tell the world about"? >> Yeah, so I think it's really interesting. I think there are a lot of things. One, there, we were talking a little bit before the show. There's kind of an insatiable, I think, need for a lot of people how to get started, whether it's getting started coding, if you're wanting to learn Python or learn JavaScript or something else, or even if you're just wanting to, you're starting to get into infrastructure, and you're wanting to learn, okay, how do I, you know, spin things up on the cloud. How do I set things up? And having some of that base fundamentals content is really important, but I also think sometimes it's about troubleshooting, and it's about figuring out what are the new services. What can this do for me? And I think a lot of times, when I think about the stories we want to tell, it's not, oh look at how great our service or our product is but it's this is designed to ease my pain points and make my life as a developer or an ops person easier. >> Christina, in the early days, everybody thought that, you know, the promise of cloud was it, it was supposed to be simple and inexpensive, and unfortunately, we learned it is neither of those things by default, so, you know, how do we help people to go from, you know, it's only 20% of applications today are in the cloud. You know, really simplicity is something we need to attack, and education is one of those areas that we need, you know. Give us some examples of some of the things that your team's doing to try to help us get to the majority of environments and work loads. >> Yeah, so a great example is, you know, .NET Core 3.0 launched a couple of months ago, and there's been a big push there with cloud-native apps and cloud-native applications, and so we have like a new video series, The Cloud Native Show, that my colleague Shane Boyer heads up, where they go through kind of all the steps of cloud-native development. And what's great about this is that you have existing .NET developers who have not, to your point, you know, 80% of applications are still not on the cloud, so they're going from that older environment. And then this is saying, you can take the skills you already have, but this is how you think about these things in this new environment. And for a lot of things when it comes to tech, if you're, the way I can always think about things is the next generation of developers, they don't know a non-cloud world. They're literally cloud-first, and I think that's an important thing for all of us to consider is that the next generation developers, the kids who are in high school now, the kids who are in college, they don't know, you know, the pain of having to provision and deal with their own, you know, servers or data centers. They've only known the cloud. And so, but that's an interesting opportunity both to create cloud-first content for them, but for the people who have been using things to say, okay, what you've already been doing, there are changes, but you're not starting from zero, and you can take some of the things you already know and just move that into, into the new world. >> Yeah, well, one of the interesting things we've found this week is that when we talk about engaging with Microsoft, it's not just .NET, it's not just Windows, or Azure. We talked yesterday with Donovan Brown and Scott Hanselman, and it's you know, any app, any language, your tools, pulling those off together. That's really challenging from, you know, creating content out there, because, you know, you're not going to recreate the entire internet there. So how do you tie in what you're doing with other resources and have that, you know, communication, collaboration out there in the industry? >> So a lot of it I think from what I do and what a lot of us do, I look, I used to be a journalist, so I look at what's interesting to me and what stories I would want to tell and what things I would want to know more about. And so, you know, Visual Studio Online, which was announced this week, massive announcement. I'm super excited about that. I am super excited about what that means, and I know that the audience is going to be excited about that. So I look at an announcement like that, and I'm like okay, what kind of content can we work with with those product teams to do? What sort of tutorials would I like to build? What things would I want to know more about if, if I were, you know, really experienced or just getting started? And I think some other areas are, for instance, Windows Subsystem for Linux 2, WSL 2 will be coming out in the future. That's a great opportunity for people who are both familiar with Linux and might not be familiar with Linux to kind of get started and using Windows as their development platform. And so when I see trends like that happening or things around, you know, containers, you know, Kubernetes, you know, containerize all the things, start thinking about, okay, what are the opportunities? What are cool examples? What would I want to see as somebody who, who's tuning in? That's what I always try to think about is what would. I just try to think about it like a journalist. You know, what would an interesting story be to tell from my perspective? What would I want to know more about? And then we can go from there and work with the product groups and work with some of the other teams to make sure that we can tell those stories. >> So, I'm curious. As a former journalist, you spent a decade as a digital editor and reporter and commentator. What made you want to make the leap to big tech? >> You know, okay, so media is not a great place right now. So that's number one. Number two, you know, I was very technical as a journalist, and it was interesting because when I made that transition, I then had to really actually shore up my tech skills. And I said, okay, I have some of the basics, but I really need to like double down and invest in myself and invest in learning more. But I always, even when I was a journalist, I loved telling developer stories, and I loved advocating for developers. Even when I was, I was working at really mainstream places like Mashable, where, you know, they would send me to developer conferences, and I wouldn't just go to the press things. I would want to go to the sessions and talk to the developers and find out, okay, what are you excited about? What are the opportunities you see to build things? What's coming around that has you excited? I've always loved that. And so when the opportunity presented itself for me to be able to do that at Microsoft, I was like, oh, you know, I'd never considered that before, but that's really interesting, and that would be a interesting way of maybe seeing if I can do something else. >> One of the skills that you, that you, is common between what you do now and as work as a journalist is breaking down this technical language and making it accessible for a wider audience, particularly at more mainstream publications. What is your advice for people in terms of how to do that? Because on this show, we have a lot of technically-minded people who can really go deep into technology. But how do you then make it accessible? What is, what is your advice? >> I always try to think of who is your muse as someone who might not know what's, all the intricacies that are going on but is an intelligent person that can understand. So for me, I always use my mom. Now this was easier when I was a tech journalist than it is what I do now because she understands even less what I do now, but I try to think about, okay, how would I explain this to her? She doesn't need to know all of the intricacies, the nitty-gritty. But how could I explain something to her that would be technically accurate but would get the basic idea? And I think a lot of times when it comes to breaking down content, it's just getting to the essence of what problem is this solving, what is this doing that's better or worse, and how does it do it and in starting from there. And it, a lot of times it just takes a lot of work, and you figure out as you go along what getting feedback from users, frankly, based on they might be asking more clarifying questions, or maybe they'll want to know more about something or less about something else. This is confusing for me. And just modulating that as you go along. >> Yeah, Christina, it makes me laugh, actually. When I started blogging, my mother was one of the people that would read, and she would say, "Oh, yes, I heard about this cloud thing before. "I watched it on NPR." It's a nuanced and complicated message. I actually, I roll my eyes a little bit back at the old Microsoft to the cloud videos there, because it was like it didn't resonate. It's the stories that you're telling these days. How do you balance there's the outcomes is, yes, we want to, you know, solve, you know, some of the great challenges and help healthcare, but, you know, underneath, there's some nitty-gritty developer and infrastructure things that get solved. How do you make sure there's the connections between, you know, what the products do and the outcomes? >> Yeah, that's really interesting. You're right, it is a challenge. I think the, the important thing here is not every message has to have all of those components. So you can tell different stories. You could tell one story that's just more focused on the outcome and is just more focused on the opportunity and what's happening in healthcare, and you could have another story that might be about this is what's going on underneath that is allowing those things to happen. >> Yeah, do you, do you have any favorite, you know, outcome stories from Microsoft? >> Gosh, you know, yesterday, during Scott Hanselman's developer keynote, he was, he was, I didn't even know about the Chipotle case study. That was so interesting to me and seeing what they're doing with the different technology. That's, that was a really, that's just the first one that comes to mind I thought was really cool. I'm really excited about the opportunities we have in Quantum, and I'm really excited about opportunities in healthcare because, you know, I think we've all been to the doctor, and we've seen how much IT and how much tech infrastructure could help not just the process of diagnosing and helping things but just, even just the minutia of data entry and record delivery and keeping track of everything. So there, a lot of the things we've done there have been really interesting. >> One of the things you said is you love telling developer stories, and I'm a journalist, too. And I cover entrepreneurs, and I feel the same way about telling entrepreneur stories. Talk about some of the common characteristics you've seen. I mean, we can't obviously generalize an entire population of people, but talk about what you have seen as sort of the common elements of their personalities and their approach to solving problems. >> Right, so I think it's interesting. When I think about any developers, which are a little bit different than enterprise devs, although there are some similarities, you know, you start with, and I know for me when I start first started coding and when I first started building websites and then other things, like, for me, I wanted to either solve a problem, or I wanted to create something that other people could, could see. And so a lot of times that probably one of the more commonalities is, you know, developers, they're in many ways wanting to scratch their own itch. I wanted to do something, I couldn't figure out how to do it, so I built this myself, found out other people were using it, too, and I added features to it. I mean, I think that's what's so great about open-source is that people have the opportunity to collaborate either contributing code or even, you know, doing bug reports and or sharing ideas. And so I, one of the more common elements is I wanted to do something, or I had a really interesting idea, and I didn't see anyone else doing it, and so I just decided to build it myself. It's not that different from entrepreneurs, right. Like it's I see, I see a business opportunity, I see a business I want to do, so I'm going to build it. And that's, wanting to build things is probably the most common thing I see. >> Yeah, Christina, any common conversations or things that are coming up that, you know, people that aren't at this show, you'd like to share? >> Oh, gosh, I mean, I think there's been so much good stuff. I mentioned Visual Studio Online, which I think is really exciting because I'm really excited about being able to like be on my iPad and also code. Like, that's going to be really great. Also, I think the Arc stuff, the Azure Arc stuff is really interesting, the idea of being able to not just be focused on, you know, one platform, but being able to control all of your infrastructure no matter where it is is really, really, that's a really compelling story. That's something that makes me really excited because I love to just automate and simplify things, so anything that can make, you know, the life easier, I think is great. >> As a former journalist, I'd love your thoughts on the state of news today. I know you said you got out of it because it's not a great career path, but the overreach of social media, the spread of fake news, the real and perceived media biases. I'm interested in your thoughts about where we are today, particularly as it relates to coverage of technology. >> It's interesting. I think in some ways technology. For a really long time, most technology coverage was almost cheerleaderish. You could even look back even 20 years when the dot-com crash happened, and I was in high school then, but I was following all of that avidly. The after flow of that, the business press was maybe a little bit burned, but the technology press was still very much gung ho and was still very much cheerleading. That's changed a little bit as we've started to have to grapple with some of the consequences, good and bad, that happened with tech and with the internet. Right now, I almost feel like maybe we've gone a little bit over the edge a little bit more, and some of the critiques are fair, and some of them maybe are just, you know, it's popular to kind of be more negative. So that's been an interesting change, I think to see. You're right, though, when it comes to the spreading of kind of misinformation or people just reading things in headlines, it's really difficult I think, for people to find authoritative voices and things they can trust. Weirdly, though, I do actually think this is an opportunity for the big tech companies to help. This is things that AI could really play a big role in. These are things that could really kind of help, you know, recognize patterns of scan bots and of other things that aren't there and filter that out. But I think even when, I still feel good about journalism as a medium. I still think that the press is one of the most important assets we have, and even when we are going through shakier times, there are opportunities. I think that we will, it'll find it's way. And honestly, I really do think that technology is one of those things that will help get the real things, the important stories out there. >> All right, so, Christina, I guess final word is how should people think of Microsoft in 2019? >> We're here to help. You know, I think that we are, we are a technology company that is, that is creating the tools so that you can build and solve the problems that you need to solve. >> All right, that's a, that's a great note to end on. Thank you so much for coming on the show, Christina. >> Thank you so much for having me. >> Stay tuned for more of theCUBE's live coverage of Microsoft Ignite coming up in just a little bit. (upbeat instrumental music)

>>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 the cube covering Microsoft ignite. Brought to you by Cohesity. >>Good morning cube land and welcome back to the cubes live coverage of Microsoft ignite here in Orlando, Florida. I'm your host, Rebecca Knight, along with my cohost Stu Miniman. We are joined by Carl holes, our, he is the supervisor of infrastructure Shumaker loop and Kendrick based in Toledo, Ohio. Thank you so much for coming on the show tomorrow. So tell our viewers first of all a little bit about uh, she make her loop. So Schulich >>is a top 200 law firm in the U S we have seven locations across the country, most of the East coast and we serve as anything from litigation to environmental to legal and things like that. >>Okay. So you and you are the supervisor of infrastructure. >>Yeah, my role there is to make sure anything with plugs and switches keeps working, so. >>All right. And so Carl, tell us a little bit about, you said you've got multiple occasions once that span and to the lawyers tell you everything and how it must be. >>The lawyers definitely have a say in the way things work. We have most of the locations in Florida and the Carolinas and two in Ohio. Okay. >>Um, and you know, with the locations, you know, what are some of the business drivers that you're going on? When I talked to most companies, you know, there's the constant change. Is there M and a happening? Is it growth? What are some of the drivers of your business? >>Oh, for sure it's growth. You know, obviously as time goes on there's more and more cases, more and more legal things have to happen. Lawyers love documents, so we have to store documents, index amend, make sure that they're always available for their use. And then of course, as part of that too, there's, there's legals holds on things, you know, stuff the case that stretches over, you know, five, 10 years. We need to keep that data safe. Yeah. So I would, >>I think that the word compliance is one that you know, all too well. Exactly. Bring us in a little bit to them. Side is, so some of those, you know, what do you have to be concerned about? You know, how many petabytes exabytes of things in years >>I'll have to that. It depends on the kind of case it is and what it involves. Some, some cases, as long as you have the data in some form you're okay. Other cases the data can't change. So we have systems that might be a little older because they, it has to be as it was when we actually had the case come into us. Okay. That's challenging too. So data, when we talked to so many companies, it's, you know, how can I monetize data? How can I do that? Data has to be a slightly different role inside your organization. How, how's that thought of, >> we have to be careful obviously because conflict of interest, you know, we so have to keep data separate in some instances and internally, not everybody can see the same data because there is issues with privacy or hippo or you know, or so on and so forth that they can't see this stuff. So for us, we need to keep it safe more than monetize it. >>So as you said, the lawyers have a, have a big say in how things empower things happen. So how would you describe the approach and mindset of, of Chyulu toward technology and toward cloud-based and new kinds of, to, to store >>and keep data safe? We, our goal is to make sure things are always online. Um, so we kind of tend toward the more, the more tried and true methods of doing things, the bleeding edge doesn't always work for us. So, but we also can't afford to, to lag behind. So we need to find that balance in between somehow to keep things moving, but the same time make sure that things don't go down or offline fraternities. So protecting and backing up your data across a hybrid environment isn't easy. So Ty, and I know you, you are on a panel here at ignite about, uh, backup disasters and how to avoid them. So I'd love to have you talk a little bit about, about how you think about this and then, and how you interview vendors, vendors and decide what's the right solution for your show. >> Every different, I guess a practice inside of law firm has different ways of getting data. They like their programs this way or that way and they're all different. So the hard part for us is how to keep that data always available to them in different systems. So whatever we do has to encompass making sure these all, all these things work, you know, kind of as, as one. So we've used Cohesity to do backups, we've used Xero to do dr mixer always online. >>Okay. And how long have you been using those solutions? I, how did you reach the kind of those decisions? >>Those were brought in? Just as I joined the firm about a year and a half ago. Um, our vendor who we're using is very tight with Cohesity and Xero and said that might be a good idea. And the more I use them, the more I agree with that. And they're all good. >>So you're saying it's your, your CI, your channel partner channel that does, that. They're trusted, they provide your gear, advise you on the software. Because let's be honest, as time goes on, you can't know everything. So you need to somebody that you can trust to bring in and say, Hey, do it this way. Well, yeah, Carl, I mean, I don't know if you caught the day one keynote, but even those of us that watch the industry in DOE, it's, there's no way any of us could keep up at though. So that, that, that's really important. How do you make sure that you know that that's a trusted advisor? You know, what's, what's the kind of the give and take between them? >>I think a lot of that comes down to a gut feeling, right? I you, if you feel slimy when you meet somebody, you know, they don't have your best interests in mind and that's what you want. Not my best interest, but the interest of the firm and of the company. So once you have established those guidelines, you usually can trust what they're saying. And I guess every time you meet them too, you have to reevaluate is this still a good fit? >> So when you comes to backup and recovery, I'd love to hear more about this panel and how you and your colleagues came to conclusions about how here's some, here's some big ones and here's how you can avoid them. So I think for us it was just what worked and what didn't work. You know, we all, all three of us use this stuff day to day. So we found the pitfalls, we found what you should and shouldn't do. And when we share that with the, with the community, we get some good feedback on that. >>So Carl, a year and a half there, any, any specific advice that you'd share? People as to what you've learned? Say I hired pitfalls in there as you know, was it a configuration issue or something went wrong because we know the best intentions and best products out there, so you know, things can get in the way. Yeah, >>definitely. We've learned to keep support clothes. I mean, they're awesome. They know their stuff. There's some things we've had issues with that I wanted to do that it wasn't a good fit or we've ran into some bugs here and there, but they're really responsive and they'll put all the alpha specialists for you and weeks, you know, and things just end up working. >> Alright, so here at the conference, what are some of the conversations that you're having because you are in the legal industry and so not necessarily community college communicating all day with people in the high tech industry. So bring us inside a little, tell us about the conversations you're having, interesting people that you're meeting, things that are sparking your interest. >> It's neat because I've met some people through the panel I was on yesterday and they're asking questions that don't even title legal. You know, they have the same access as we do, but they are just either apply to manufacturing or applied to natural gas or whatever happens to be. Um, and then when you know, meetings from the vendors here, it's interesting too, you know, I'm an illegal mindset now and they say, Hey, what about this? And you go, Oh, that's some game changer. And you know, and all of a sudden you can apply it to your field. >>More sense. Yeah. How about this your first time attending Microsoft ignite? Give us a little bit your impressions, you know, uh, the, the, the good, the bad. And the interesting is it's really >>big. I walked through here Sunday night when when nobody was here. It's like, Oh, this isn't too bad. And then I think I walked 10 miles the first day getting places and it's usually pretty well laid out and unless there's beer or food and everybody kind of goes to it and it's hard to move around. But other than that I think it's pretty cool. So what are the kinds of things you're going to take back? As you said, you are sometimes talking to people who are in a completely different industry with you and they are saying things that spark your interest and spark new ideas. What are the kinds of things you're going to take back to shoe loop when you arrive back in total Toledo, we're trying to look at all these new buzzwords like on new, but like blockchain or AI and how they can help us do our jobs better and serve their attorneys better. Um, is there something that I haven't thought of that blockchain can, can do this >>for us and better than we're doing it now now. So Carl, one of the things we've noticed there, there's a real growth in some of the developer content here as an infrastructure person. And I'm curious your view on that, that that side of the world. >>That is not my strong suit. Obviously I came from a world where that was a big deal and I could learn some things. But as far as my background goes and learning about it, it's kinda over my head. Um, you know, I can get it behind this stuff, talk to automate processes and make things, you know better. But as far as the dev side, I'm kind of going, Hey, no, I know if I get this, but, but there is such a push here for citizens and for citizen developers and to sort of democratize this and say even you can do this, which is awesome and in a way because the more eyes have on something, the better they go. You know I can even if I don't understand something, I can ask the question, Hey, why is this work this way? You go, Oh it shouldn't work this way. >>Let's fix this and and make things better. You know. Anything more about kinda your firm's relationship with Microsoft? So many announcements here. Not, no, not sure if teams has used a in your environment. We are using Skype right now but we have way pushed to go to two teams. So that's going to be a big, big push for us in queue for this year and digging next year and then we're looking at moving to Azure at some point. Getting our stuff up there and making you know to be most effective, faster, better. How do you stay up to date with all of these new announcements and not just here at Microsoft, but even in the larger technology community. You can't stop learning. You can't stop reading. You know? You look at the like the slash dots of the world and you just keep looking at things and some things may make sense. >>Some things I'm like, Oh, that's kind of cool. I'll read it later. All of a sudden it goes, Oh, that's a big idea and we should look at this some more. But again, it's having those trusted people that you know or colleagues that say, Hey, I saw this. I saw that. Take a look at that suit. You think so? I know in your, in your off time, you are an officiant of a number of different sports. I'm curious to hear how you bring what you do as an officiant into your job at shoe loop and the similarities. The differences. In my help desk days, it was a lot easier because I could take the, the end user ratings a lot easier because I will hold nothing personal, but it's neat too. I mean, when you're an official, you have, there's a, there's a way things work. There's a, there's a set of rules you have to follow and, and it, and even anything that's technology based there, it's all logical progression of things. This is the way things work and not they blinders as much, but as much as you just follow the process, which makes this audience here. Great. Well thank you so much Carla, for having me. It was great having you on the show. Thank you guys. I'm Rebecca Knight for Stu Miniman. Stay tuned for more of the cubes live coverage. Microsoft ignite.

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Welcome back everyone. We are wrapping up three at days of wall to wall coverage of Microsoft ignite. It is a game day atmosphere on the show floor at the orange County civic center. Thank you so much to Cohesity for hosting the cube for this fantastic three days. I'm your host, Rebecca Knight along with my co host Stu Miniman. Still this is awesome. We talk about the buzz on the floor and the energy on the show and definitely guy here Cohesity always bright and activity >>in the booth and it's been a lot of fun hanging out here for the week with you Rebecca and our hosts and all, all of the guests. Yes, absolutely. So this is day three. We are starting our series of interviews, but I want to hear because you are so in this community you have a lot of connections, a lot of buddies, a lot of colleagues, former colleagues, current colleagues. What has impressed you about the show and what is missing? Let's start with the positives and it's interesting because this is only my second year coming. One of those, you know, my background networking, I've interacted with Microsoft for most of my career. I would not say I am deep in the community, but I know enough of the MVPs, have friends here and really have learned a lot in these two years. So first of all, the breadth of this show is just so impressive. >>One of the things that you and I've been talking about the last two years, years, what is the show? It started out as a windows admin show. Lot of discussion about office migration to windows 10 was the big thing last year. We haven't heard as much about this this year. Yesterday was a big developer day. Of course Azure sits at the center of everything. Lots of big announcements here. Felt like a kind of on par with what we hear at AWS. It shows with just so many announcements across the board. But really when you talk about the applications of business productivity, people come to this show. When I talk to people in the booth, I'm looking for solutions and how do I put those together? It's not some of the tech shows where you just, you're constantly down in the speeds and feeds and what they're doing and some of the competitive dynamics. >>I have a problem, my business needs something in, this is what I'm looking to solve. And Microsoft has a broad and diverse ecosystem and the word we kept coming back to the word of the week I think is of course trust. >> Absolutely. I couldn't agree more with what you've just said. That is what we hear. And the other thing about Microsoft is that at a time when big tech is really under a lot of fire, there's a lot of suspicion policymakers, regulators are bearing down on a lot of the tech CEOs. Microsoft really stands above. And when you think about antitrust, there's major presidential candidates talking about breaking up big Chuck, big tech. Microsoft is really riding above that fray. There's sort of a feeling of deja VU for Microsoft, I'm sure. But that they're really been there, done that. They're not. Yeah, I mean it was Satya Nadella to, you know, really put a pointed attack. >>He did not say it, but we all know it's Google. You know the company that was do no evil at the start. Now everybody's concerned because Google's model is primarily selling ads and while Google will say what they're doing in the enterprise, they just acquired Fitbit and said, you're not going to get ads on your Fitbit. We're not going to leverage that way, but there's not that trust built up. And then the number one competitor out there is AWS. And if you talk about the ecosystem, the concern that every AWS show is, Oh my gosh, what announcements are Amazon going to make and are they going to steal my lunch money if you were or put me out of business for the years worth of work on doing. Microsoft doesn't feel that way. They, you know, if you talk about the ecosystem I was talking, they made announcements that do compete against number the products, RPA, or was announced as part of the power platform out there. >>There's a number of RPA companies here. I talked to them there. Microsoft's a strong partner. We've been doing breakouts, we're talking with them. Yes, they are just like SAP getting into this market, but it's a Microsoft shop and it's not, you know, it is new. It's not the best of breed. They're on it. They are not concerned that they can still live in this environment. And I'd say both AWS and Azure very much about choice and ecosystem and building them out. >> So you're talking about the marketplace here. So in terms of the marketplace, what is Microsoft doing to drive business and is it effective? Well actually I'm glad you, so specifically we talk about the marketplace. So there's the ecosystem and then there's actually the marketplace. So AWS has what we really consider, it's the enterprise app store. If I want to go buy software, you know there's Salesforce and all of their connectors and everyone that uses Salesforce knows that. >>But AWS really has driven a robust ecosystem just like on amazon.com most of the products that are sold are from third parties. The AWS marketplace is mostly how I can procure and buy software. And they drive a lot of it. So a lot of the AWS adoption is through the marketplace and the ecosystem makes lots of dollars. Reminds me, we used to talk about VMware for years is for every dollar of VMware you bought you would buy, you know, 10 $20 worth of third party ecosystem. But we were talking about things like storage and like for AWS it's on procuring software and underneath on leveraging the AWS services. While Microsoft Azure has a marketplace, it is not as mature. They don't really push as many people through it. So while I've talked to a number of the partners that are, yes we're part of the marketplace, but people buy lots of different ways as opposed to AWS is trying to get everybody from a customer and an ecosystem through it. >>And part of that is to simplify the environment, how I purchase it. But it's that balance of trust and you know, ease of use out there. So when I look forward, what do I like to see from Azure is how will they mature there. I was actually something John furrier had had us digging into here and the marketplace at Azure definitely is, I would say years behind where AWS is, is there, but you know, Azure great growth, doing really well, a strong trusted ecosystem. Just some areas for improvement that I would look for going forward. >>But maybe that's part of their, their approach and their strategy is we'll work with you, we, we collaborate, we can do this together. Whereas AWS there is that, that feeling sometimes when you're at reinvent, as you said, roll out the beer, CURT's early please. My business is over. So, so, so comparing the two show, the three, the various cloud shows, and this is not just a cloud show, of course we're going to get into that more. But when you think about re-invent and you think about VM world, how does the, the feel and the energy here differ? >>Yeah. So the thing that always strikes me when I go to an AWS show, and I have been to many of them from the regional shows through the big one and reinvent, which is more than twice the size of this 26,000 person show. The customers there are always trying new things. They are open and looking for the environment that they can do new things. Here what we're talking about here feels like it's like a tweener. We had a lot of conversations about building bridges to where customers are while AWS is starting to talk hybrid more and meet you in your data center and doing outpost Microsoft, they have their windows install base, they have their own three 65 pieces. So there's a broad spectrum of from the latest and greatest autonomous systems. You want to talk about it. Microsoft has that through, you know, I'm a, you know, 20 year CIS admin and I, you know, I'm going to hold on to, you know, my servers, you know, as long as I can, they're there for you. >>So Microsoft does bam, that gamut and VMware is more, once again making that transition as we go to the cloud. So Microsoft right in the middle of that transition, we talked a bunch about digital transformation with the customers on here. So it really, it has all a lot for a lot of different people. You know is one of the things I've heard is they really ramped up some of the developer activity at this show. They just bought get hub, get hub, has their own show, get hub universe next week, which will stay very focused on that environment. But Microsoft also has a conference build and there's been some rumblings that maybe build an ignite get wrapped together. We saw that with IBM. IBM had lots of different shows and they put all the wood behind think and made that a massive show. There's pros and cons of that, seeing lots of companies that have taken a big show and put it into a 40 show around the globe. >>Now someone like Amazon has reinvented, but then they have of second tier and third tier regional shows to push that out. So lots of different ways to, to get to customers. Um, and it is interesting, you know, we spent a lot of time talking about Azure Ark. I'll be at the cube con cloud-native clown show in just two weeks and San Diego and expect that to be talked. And really it is in preview mode. So when I look at it at the end of the day is, you know, you've got red hat open shift, you have Google, you have what AWS is doing with outpost and welcome to the party. Microsoft, they have got a strong hybrid solution already because they played at both ends. But really as your arc is unifying and pulling those together so that it's not just my data center and Azure, but even AWS, they're saying, we'll see how this all plays out. >>Microsoft definitely has a strong data focus and a strong application focus. And so it be interesting to see where that adoption happens. I've been saying for a couple of weeks. Really Kubernetes just get baked in everywhere and you know, customers aren't going to have to think about it in a most Microsoft definitely strong partner focus. Just to reinforce something I've said a couple times this week, they still have a partnership with red hat. They still have a partnership with VMware. The Azure arc is not the only way to get the Kubernetes story in play into your Microsoft environment. And Microsoft's done well with that. We all know from the early days of Microsoft living on tops of lots of hardware. Now Microsoft software will live a lot of places. Yes, their cloud is large growing one of the top two choices out there. But they truly embrace that it will be multi-cloud and be able to live in lots of environments. >>So I want to talk about something that's more in my wheel, hasn't met his productivity. So we have heard a little bit about teams. I mean there was a lot of announcements. It's not exactly where we focused a lot here on the cube this week, but there were some really interesting announcements about the ways in which Microsoft is thinking about human productivity, both at individual productivity and team collaboration, the way teams interact and communicate. There are a lot of interesting new uh, characteristics and elements to what they're doing in terms of Cortana re read me my emails. Uh, I'm going to send this email but I'm actually gonna wait, it's good. It's going to be a scheduled send. It's going to send when the, when the, the person I'm sending it to is, is actually at his or her desk. Um, and so those are just some interesting things to me that really speak volumes about how Microsoft views the future of work and views the, the future of our, of our lives. And, and, and understanding how much technology has encroached in our lives because they're saying, read me my emails while I take my dog for a walk while I am actually doing, while I'm on a run first thing in the morning. I, you know, make me more productive but also give me my time back. And so I think those are some really, really interesting ways in which Microsoft, as I said, understands the technology has taken over and they're trying to give you a bit of your time back. >>It's interesting cause you know when I look back, Microsoft has a bit of a checkered history when it comes to some of those environments. We all know the office suite teams is now part of O three 65 and I hear very strong. The people that use it really do like it. But those of us look back and we said, Oh I used to like using Skype and then Microsoft got ahold of it and Oh my gosh, what a horrendous mess. Skype was for a long time when it taught to a collaborative environment. Google really jumped Microsoft with the G suite and many smaller companies were like, Oh, it's relatively easy to use and I can collaborate there. Well teams really has gone through and understand that and we talk about a collaborative environment, you know, Microsoft teams, best of breeds. I attended an enterprise connect earlier this year and I couldn't hear enough about how much that was going on. >>And you know, strong ecosystem of companies that Microsoft worked with. So it's very strong, but it's kind of, if you're a Microsoft shop, you're doing it. But they did lose many companies too free or less expensive or lighter weight options out there. And then everything from Slack ate into it. But you know, Microsoft has a good product. Absolutely. It just, some of it is the perception and some of it is the pricing. You know, they do a good job of making sure that when you get get to college, you, you want to use some of these environments. Oh yeah, the pricing is graded free. But then when you get in the real world, hopefully you'll like it. So Microsoft does a little bit about now something we focused a lot on but did hear really good things about it. And it does get lost a little bit in some of the general discussion about all the other pieces, you know, autonomous systems, AI and the leaders. This stuff of Azure take a little bit of precedent over the, some of the things that are a little bit more on just as you said, business productivity or even on the consumer side of the house for Microsoft. >>So we are, we're, we're wrapping up here but I want to hear just final thoughts, final predictions for 2020 and you've really gotten, you've, we've, we've covered a lot of ground here, this wording, but I'm interested to hear what you think is on tap for Microsoft in 2020 I'll bring >>back to something we kicked off with the jet ideal coming in here really has that that whole process of winning that bid was a fortune function from Microsoft to rapidly mature some of their environment. You talk about security and trust, you know the government is not going to give that environment if it to Microsoft, if they could not trust them. Back when AWS won a CIA deal, it was like, Oh wait, if the security is good enough for the CIA, it's probably good enough for me to consider it. So the government agencies, which historically is not who you think about when you talk about innovation in driving change today. Public sector is really interesting. Even when we were talking to some of the people about, Hey, how can we haven't heard as much about Azure stack over the years? Well, it's been a lot of service providers and government agencies that have been deploying this and therefore we'll do it. So Microsoft still has a lot of work to do contracts. They still have to get some more security clearances. They need to make sure their performance and reliability is up to snuff on because they just can't have outages. If I, if this becomes a greater and greater piece of my overall how I run my business, I can't say, oops, wait, you know the Internet's down. This is now 2019 going into 2020 and in 2020 we'll all have perfect. >>Oh, of course. Oh yes indeed. Sue, I'm looking forward to another great day of coverage with you, and thank you again to Cohesity for hosting us in this really cool booth. Uh, so please stay tuned for more of the cubes live coverage of Microsoft ignite coming up in just a little bit.

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Hello cube nation and welcome to back to the cubes live coverage of Microsoft ignite here in Orlando, Florida. I'm your host, Rebecca Knight. Along with my cohost Stu Miniman. We are closing down the second day of the three days of coverage. This is day two >>wall to wall to wall coverage. Joining us is Thomas LA rock, best job title ever, head geek at solar winds or speaker data expert and SQL rockstar and Microsoft MVP and Microsoft MVP and yes importantly and you saved me. You didn't have me on yesterday. You waited to the second day, the end of the second day. Thomas, we wanted to make sure that by the time you came on that you had got some time to really absorb some of those announcements and be ready to give us a different perspective on some of the items. All right. Precisely. So this is your 10th Microsoft ignite. It is my first go back to tech ed 2010 so yeah, my 10th consecutive between tech ed and McKnight. Thoughts, impressions of 2019, how is it different? How is the show evolving? What does the show all about? So your perspective, you know, I do a lot of events and shows and what my impression right now just over these two days is that this is one of the only shows this year I've been to where I feel the from year over year, the expo hall is say bigger. >>I mean I know it's the same size the last year. I think there's actually more vendors here this year. There are, and there's more people here. This year in the expo hall. Our traffic at the booth yesterday was amazing and continued through today. Uh, other events I've been to, I feel it's kind of shrinking a little bit. So to me the partners and the ecosystem for Microsoft in general is grow or I should just say Azure because that's what I think this show really is. Now I think the old tech ed you had mentioned was more like a windows type a show. But now this is th these shows between AWS and this, you're talking about the two biggest providers of infrastructure. This is an Azure show. Yeah. Well and Thomas, if you come follow us along, I'll be at CubeCon in two weeks and I'll be at AWS re invent. >>Yup. Right after Thanksgiving. Both of those shows are growing. The ecosystem are growing there too. So the cloud is definitely one of those. The raising tide is moving all boats. I want to poke you say Azure. Azure is definitely one of the main pieces, but you know, the applications that data are so important to your last year. AI front and center. Um, it was, it was more, you know, they didn't use the term AI as much here. You know, Satya, I was talking about, you know, tech intensity and all of the things we can do with data. So this, while a cloud is a major piece, I wouldn't call this just a cloud show because I think that would limit what we're actually talking about here. Cause there's so many of the apps and so many of the things. When I talked to some of the ecosystem providers, you know, they're looking for that solution that fits it and therefore they're go into the ecosystem and talking about all of those pieces. >>So for an infrastructure guy like me, cloud's a big piece of it, but it's way more than that. And that's one of the challenges is there's, you know, everything from, you know, the latest Azure arc all the way through big edge and mobile devices and, uh, you know, heck, there's even, you know, in the store they've got people playing Xbox. Uh, so it's, there's a lot in your Microsoft community here. So. Absolutely. So I, I didn't say cloud though. I said it's an Azure show. And then as your show is to me is almost synonymous with Microsoft and all that stuff. You see, uh, over there, that entire hall, you're right. They have all those other things. They have the, all the power apps, they have those applications, they have everything for developers that you need. But still to me, uh, so what was that stat you just gave me? >>We were debating, it's roughly eight upwards of 80% of workloads are still earth on premises, right? It's still there. So with Azure Ark now they have the ability to take an Azure surface and put it in your data center wherever you want it. So when I say it's an Azure show, it's not even that. It's just cloud. The cloud is coming to you and we see it with VMware, we see it with AWS and outposts that they have decided that 80% is a huge market and they're coming for it. Right? So, so Thomas, if you'd asked me two years ago, uh, which of the hyperscale providers as best as hybrid, my answer would have been Microsoft because they're in both places. The hybrid discussion at this show is way different. There was a lot of retooling. We talked about what was going on. Azure stacks has been there, but arc kind of is a new big push and everybody is trying to look at that and say, wait, is this a management tool? >>Is this just the latest Kubernetes flavor? In your viewpoint, how does arc fit in the Microsoft story? And you know, what should we be comparing it to from the other Amazon, VMware, you know, red hat type of pliers out there? Well Brian, >> I think it's the same thing is that, I was just saying is that arc to me, we can talk about the plumbing. So yeah, they put a fancy name on whether it's Kubernetes, Coobernetti's and all that stuff, but no arc to me is a way for Microsoft to get their hands on as many data estates as possible. Right? I know data state, right? I have a data state and it's next to my data Lake and I work at the data factory and everything's stored in the data warehouse and I shop at the data Mark. We can go on forever with this stuff, but that is the reality of the world. >>And the thing is all those things exist and they're, as your arc is, it's the ability to extend into there because what is Azure and AWS, they're nothing more than an electric company. Their utility and the utility, you're going to offer similar services and that's what they have. And of course VM Ware's in the mix as well. And it's just the ability for all those companies to have their hands on your data, wherever it is, whether it's in your data center or with them, they don't care. They just want the ability to have a piece of that data as it's in transit or at rest. >>And so what's the end there? I mean, you're making that sound like there's some sort of nefarious, uh, end game here. >>It's, I wouldn't say so. Farias I would just say it's market share. What's the end is to survive, to have the market share, to continue to build new cool things. Right. Um, I, I think the end is some consolidation. I don't think the end is, I don't know. Let's say there's five major players. I don't think those five will always exist. I think the are gonna see it shrink over time, but it really, that depends on how well they partner with each other too. Um, I think there's room for everybody, but it's just depends on where they want to say, um, if they want the co-exist or not. Right. So for some of them like VMware, that's really just kind of software, right? They're partnering with clouds. But the clouds are the infrastructure hose. And so how long does VMware really have? Now they've done the nice pivot and I think they're going to last a little bit longer. >>But had they not taken that pivot in the last year or two? I think their timeline with a much shorter, yeah, it's interesting cause we've been looking at, you talk about that cloud adoption, some of the traditional vendors out there, um, many of which are, you know, ecosystem providers that have show here it has to react and deal with the cloud. You know, everybody's jumped on the Kubernetes fly and bandwagon. Everybody's partnering especially with Azure but also AWS and the like. Um, you know, Thomas, you and your company deal with a lot of end users out there. What are they looking for when it comes to being a trusted provider? You know, who, what, what, what's there and how does Microsoft stack up? When we talk about that Satya talked about trust a lot and you know, just curious to how you see them being perceived out there and you know, when customer want to lead partner, what do they want? >>Well, uh, for us, we have, uh, I believe over 300,000 customers at this point and, uh, I think roughly 53% of them are Azure base and that's a higher percentage than what we have for AWS, for our customer base. So we have taken steps to be that trusted partner. So when these companies are going to take that 80% workload that isn't there yet, uh, just in the booth discussions this week where they come to us and they say, Hey, we're going to owe three 65, how can you help us? We're going here at small steps at the time, so that workload that will chip away at it, but we're a company that can help with that transition as people move their workloads and their systems into a place like Azure. Uh, I think what you're gonna also see is our ability to, um, help people understand wherever they want their for structure. >>So for example, last week we announced how we have 15 of our products are now, um, deployed to the Azure marketplace. So you're talking two clicks and everything's deployed for you and you're up and running. And then if you want, if you want to, you know, manage the nodes that are still in your data center, you can just point everything to go up to Azure and Azure, handle a lot of those infrastructure needs for you. So that to me is the trust where you partner with a company like Microsoft and you say, what will it take for us to get in the marketplace? What will it take for us to help help us help, help us help you get that data into your data, into your cloud, right? I think our customers really want to know that when it comes to, Hey, I got to go to Azure. Are you somebody who could help us get there and stay there and manage and monitor the stuff for us? >>I want to talk productivity because I think you have a pretty different take from Satya Nadella. So he had a, he on the, on the main stage yesterday, he said the human act, human attention to inattention is at the root of all productivity. He's, he laid out a stat when you multitask it takes 25 minutes. I'm sorry I got distracted. So it was a 25 minutes. Yes, 25 minutes and you lose 40% of your productivity with that 25 minute lapse. So I w I felt that compelling and that rang true to me. But absolutely >>it's true. So right after he got done with that, Microsoft told us the answer was they were going to take Yammer and shove it inside teams on a shoving inside outlook. I don't think we need more productivity tools. I don't think we need more ways of distracting us. They say they say, Hey, it's great. We'll put tasks from outlook right inside teams. I'm like maybe I'm in teams cause I shut down outlook because I'm distracted by email and other things right now maybe I don't need that. Is it a nice to have and it's a possible thing I guess, but at the end of the day, I don't need you shoving all these extra things into all the things. You're just making the problem worse. We need fewer productivity tools. At what point do we hit peak productivity? I guess? I think we're there. I think I have all the tools that enable me to do my job already. I don't need them all tightly integrated. I need to shut more things off. Right. In order to get stuff done. >>That's a, that's an excellent point because when I want to get work done, I go to a place where I can't get online. Right. Because that's, that's the biggest, >>that's why, uh, I work remote from home one that one of my advantages is I don't have people just walking by my desk and, and distracting me with all sorts of things. That's a huge advantage. I try to take advantage of what, cause I work remote, but for people in an office, bells, whistles, lists that and the other, you know, uh, I just, I get a cup of coffee. You know, it's, it's difficult and I'm not sure that these companies, not just Microsoft, I just don't think companies are really thinking through if they're making things better or not. Every one of them Slack, all of them, they all think that they're the one that's all you need. It's not true and it's not making things better. Yeah, it's a true, we've had good feedback about teams overall here. Especially you've talked to a number of people that are remote workers and they feel that that does help them get connected with teams and, uh, you know, in the remote areas and by itself, but, you know, create point, uh, on the productivity stuff too. >>Do you use teams to use teams? Uh, kind of reluctant at first, like, do I need the another tool? But now that, uh, we've all kind of started switching to it and my company went O three 65 as well. Some teams comes with it and, uh, I do find that very useful, um, uh, much more so than I have any of the other tools in the past. I think teams took a lot of good things from a lot of different tools and they rolled out of them to the one they, and it works for me. It doesn't work for everybody though. Right? >>Exactly. Exactly. So what, so what else are you taking away from the, from your 10th ever ignite, you go back to the office, but is your home on Monday? What kinds of conversations are you going to have most stayed with you, have most resonated you? Okay. >>For me, uh, I, I focus a lot on the data platform and uh, I think the thing that's going to resonate the most with me, it really is Azure arc and what that, what the, what that really means and getting a little more involved with, uh, understanding where they're headed with it. Like just the idea they're going to give me that one management console that can control everything. Earth and cloud. Uh, that's an interesting thing. I see. Come at me. I work for a tools vendor, so as a tools vendor, I'm sitting there going, so Microsoft's building something that gives visibility into both. Now, what does that mean for me and where we might, we want to think about pivoting to make sure that we stay ahead and keep offering value where Microsoft might have a gap. Um, so I think those are the things I'll probably be thinking about. >>My role as head geek is to, you know, help our users and the people who write the code and, you know, connect, share and learn and figure out where things are going. And also involves partnering and having conversations with folks at Microsoft, uh, to help our company, you know, continue to have that edge. So I think that's all I'll be thinking about on Monday, probably now on the plane ride home on Friday, but who knows, right. Uh, Thomas, any other final words about the community here? Uh, you know, you're a Microsoft MVP is we set up in front, uh, you know, Microsoft should get great kudos for, they put the unity in community and they talk about diversity and inclusion, something they highlight something that, at least from the viewpoint we've had, uh, they seem to be doing a good job in moving the needle here. >>But, uh, you know, as an insider to the Microsoft community, uh, anything particular that you'd call out? Well, certainly the changes and the emphasis I've seen on diversity inclusion over the years. You're absolutely right. I think, I know this, you were having some interviews earlier to have those specific discussions and, uh, it's an important conversation to have, uh, uh, as somebody who organizes events, it becomes, you know, what's the diversity, how diverse should the event be? At what point are we diverse enough? Right? And what does that really mean? And so I look at it and I say, if I'm going to run an event that caters to say an it community, well, what's the makeup of the it community? Then the speakers should represent the community that they're trying to speak to. So what I've seen over these 11 years is a lot more focus for events, especially like ones I help organize where it's like, no, what I'm going to go out and recruit the speakers that I need to represent the people that I want them to be presenting to. >>Uh, I don't think I will recall that I'm old. I don't recall a lot of things, but you know, 11 years ago when I was, when I joined to became an MVP, I, I don't think that the diversity was there and I don't think the efforts were being done. I think those efforts have come just in the past few years, four or five years maybe society as a whole, but specifically inside Microsoft and, and their programs. And I think it's fabulous. Uh, I, I think you could never be diverse enough. I guess. I don't know how to say that. I think he could always do more to, uh, include, I always say inclusion is better than the exclusion any day. You can never do enough for that. And I think Microsoft's made great efforts. I'm, I'm really proud to call myself a Microsoft MVP. Uh, I, I think it's a great program. I'm glad that I questioned, you know, their selection method maybe because they keep inviting me back, but they do and, but I love it. I, it's been a great ride, >>a great note to end on. Thomas law crock head geek. Great. Great to have you on the show. Great. Great. Thanks for having me back. I really appreciate it. I'm Rebecca Knight for Stu minimums. Come back tomorrow for more of the cubes live coverage of Microsoft ignite.

>> Commentator: Live from Orlando, Florida It's theCUBE. Covering Microsoft Ignite. Brought to you by Cohesity. >> Hello everyone and welcome back to theCUBE's live coverage of Microsoft Ignite 2019. We are theCUBE, we are here at the Cohesity booth in the middle of the show floor at the Orange County Convention Center. 26,000 people from around the globe here. It's a very exciting show. I'm your host, Rebecca Knight, along with my co-host, Stu Miniman. We are joined by Francesca Lazzeri. She is a Ph.D Machine Learning Scientist and Cloud Advocate at Microsoft. Thank you so much for coming on the show. >> Thank you for having me. I'm very excited to be here. >> Rebecca: Direct from Cambridge, so we're an all Boston table here. >> Exactly. >> I love it. I love it. >> We are in the most technology cluster, I think, in the world probably. >> So two words we're hearing a lot of here at the show, machine learning, deep learning, can you describe, define them for us here, and tell us the difference between machine learning and deep learning. >> Yeah, this is a great question and I have to say a lot of my customers ask me this question very, very often. Because I think right now there are many different terms such as deep learning as you said, machine learning, AI, that have been used more or less in the same way, but they are not really the same thing. So machine learning is portfolio, I would say, of algorithms, and when you say algorithms I mean really statistical models, that you can use to run some data analysis. So you can use these algorithms on your data, and these are going to produce what we call an output. Output are the results. So deep learning is just a type of machine learning, that has a different structure. We call it deep learning because there are many different layers, in a neural network, which is again a type of machine learning algorithm. And it's very interesting because it doesn't look at the linear relation within the different variables, but it looks at different ways to train itself, and learn something. So you have to think just about deep learning as a type of machine learning and then we have AI. AI is just on top of everything, AI is a way of building application on top of machine learning models and they run on top of machine learning algorithms. So it's a way, AI, of consuming intelligent models. >> Yeah, so Francesca, I know we're going to be talking to Jeffrey Stover tomorrow about a topic, responsible AI. Can you talk a little bit about how Microsoft is making sure that unintentional biases or challenges with data, leave the machine learning to do things, or have biases that we wouldn't want to otherwise. >> Yes, I think that Microsoft is actually investing a lot in responsible AI. Because I have to say, as a data scientist, as a machine learning scientist, I think that it's very important to understand what the model is doing and why it's give me analysis of a specific result. So, in my team, we have a tool kit, which is called, interpretability toolkit, and it's really a way to unpack machine learning models, so it's a way of opening machine learning models and understand what are the different relations between the different viables, the different data points, so it's an easy way through different type of this relation, that you can understand why your model is giving you specific results. So that you get that visibility, as a data scientist, but also as a final consumer, final users of these AI application. And I think that visibility is the most important thing to prevent unbias, sorry, bias application, and to make sure that our results are fair, for everybody. So there are some technical tools that we can use for sure. I can tell you, as a data scientist, that bias and unfairness starts with the data. You have to make sure that the data is representative enough of the population that you are targeting with your AI applications. But this sometimes is not possible. That's why it's important to create some services, some toolkits, that are going to allow you, again, as a data scientist, as a user, to understand what the AI application, or the machine learning model is doing. >> So what's the solution? If the problem, if the root of the problem is the data in the first place, how do we fix this? Because this is such an important issue in technology today. >> Yes, and so there are a few ways that you can use... So first of all I want to say that it's not a issue that you can really fix. I would say that, again, as a data scientist, there are a few things that you can do, in order to check that your AI application is doing a good job, in terms of fairness, again. And so these few steps are, as you said, the data. So most of the time, people, or customers, they just use their own data. Something that is very helpful is also looking at external type of data, and also make sure that, again, as I said, the pure data is representative enough of the entire population. So for example, if you are collecting data from a specific category of people, of a specific age, from a specific geography, you have to make sure that you understand that their results are not general results, are results that the machine learning algorithm learn from that target population. And so it's important again, to look at different type of data, different type of data sets, and use, if you can, also external data. And then, of course, this is just the first step. There's a second step, that you can always make sure that you check your model with a business expert, with data expert. So sometimes we have data scientists that work in siloes, they do not really communicate what they're doing. And I think that this is something that you need to change within your company, within your organization, you have to, always to make sure, that data scientists, machine learning scientists are working closely with data experts, business experts, and everybody's talking. Again, to make sure that we understand what we are doing. >> Okay, there were so many things announced at the show this week. In your space, what are some of the highlights of the things that people should be taking away from Microsoft Ignite. >> So I think that as your machine learning platform has been announcing a lot of updates, I love the product because I think it's a very dynamic product. There is, what we now call, the designer, which is a new version of the old Azure Machine Learning Studio. It's a drag and drop tool so it's a tool that is great for people who do not want to, code to match, or who are just getting started with machine learning. And you can really create end-to-end machine learning pipelines with these tools, in just a matter of a few minutes. The nice thing is that you can also deploy your machine learning models and this is going to create an API for you, and this API can be used by you, or by other developers in your company, to just call the model that you deployed. As I mentioned before, this is really the part where AI is arriving, and it's the part where you create application on top of your models. So this is a great announcement and we also created a algorithm cheat sheet, that is a really nice map that you can use to understand, based on your question, based on your data, what's the best machine learning algorithm, what's the best designer module that you can use to be build your end-to-end machine learning solution. So this, I would say, is my highlight. And then of course, in terms of Azure Machine Learning, there are other updates. We have the Azure Machine Learning python SDK, which is more for pro data scientists, who wants to create customized models, so models that they have to build from scratch. And for them it's very easy, because it's a python-based environment, where they can just build their models, train it, test it, deploy it. So when I say it's a very dynamic and flexible tool because it's really a tool on the pla- on the Cloud, that is targeting more business people, data analysts, but also pro data scientists and AI developers, so this is great to see and I'm very, very excited for that. >> So in addition to your work as a Cloud advocate at Microsoft, you are also a mentor to research and post-doc students at the Massachusetts Institute of Technology, MIT, so tell us a little more about that work in terms of what kind of mentorship do you provide and what your impressions are of this young generation, a young generation of scientists that's now coming up. >> Yes. So that's another wonderful question because one of the main goal of my team is actually working with a academic type of audience, and we started this about a year ago. So we are, again, a team of Cloud advocates, developers, data scientists, and we do not want to work only with big enterprises, but we want to work with academic type of institutions. So when I say academics, of course I mean, some of the best universities, like I've been working a lot with MIT in Cambridge, Massachusetts Institute of Technology, Harvard, and also now I've been working with the Columbia University, in New York. And with all of them, I work with both the PhD and post-doc students, and most of the time, what I try to help them with is changing their mindset. Because these are all brilliant students, that need just to understand how they can translate what they have learned doing their years of study, and also their technical skillset, in to the real world. And when I say the real world, I mean more like, building applications. So there is this sort of skill transfer that needs to be done and again, working with these brilliant people, I have to say, something that is easy to do, because sometimes they just need to work on a specific project that I create for them, so I give data to them and then we work together in a sort of lab environment, and we build end-to-end solutions. But from a knowledge perspective, from a, I would say, technical perspective, these are all excellent students, so it's really, I find myself in a position in which I'm mentoring them, I prepare them for their industry, because most of them, they want to become data scientist, machine learning scientist, but I have to say that I also learn a lot from them, because at the end of the day, when we build these solutions, it's really a way to build something, a project, an app together, and then we also see, the beauty of this is also that we also see how other people are using that to build something even better. So it's an amazing experience, and I feel very lucky that I'm in Cambridge, where, as you know, we have the best schools. >> Francesca, you've dug in some really interesting things, I'd love to get just a little bit, if you can share, about how machine learning is helping drive competitiveness and innovation in companies today, and any tips you have for companies, and how they can get involved even more. >> Yeah, absolutely. So I think that everything really start with the business problem because I think that, as we started this conversation, we were mentioning words such as deep learning, machine learning, AI, so it's, a lot of companies, they just want to do this because they think that they're missing something. So my first suggestion for them is really trying to understand what's the business question that they have, if there is a business problem that they can solve, if there is an operation that they can improve, so these are all interesting questions that they can ask themselves their themes. And then as soon as they have this question in mind, the second step is understand that, if they have the data, the right data, that are needed to support this process, that is going to help them with the business question. So after that, you understand that the data, I mean, if you understand, if you have the right data, they are the steppings, of course you have to understand if you have also external data, and if you have enough data, as we were saying, because this is very, very important as a first step, in your machine learning journey. And you know, it's important also, to be able to translate the business question in to a machine learning question. Like, for example, in the supervised learning, which is an area of machine learning, we have what is called the regression. Regression is a great type of model, that is great for, to answer questions such as, how many, how much? So if you are a retailer and you wanted to predict how much, how many sales of a specific product you're going to have in the next two weeks, so for example, the regression model, is going to be a good first find, first step for you to start your machine learning journey. So the translation of the business problem into a machine learning question, so it's a consequence in to a machine learning algorithm, is also very important. And then finally, I would say that you always have to make sure that you are able to deploy this machine learning model so that your environment is ready for the deployment and what we call the operizational part. Because this is really the moment in which we are going to allow the other people, meaning internal stake holders, other things in your company, to consume the machine learning model. That's the moment really in which you are going to add business value to your machine learning solution. So yeah, my suggestion for companies who want to start this journey is really to make sure that they have cleared these steps, because I think that if they have cleared these steps, then their team, their developers, their data scientists, are going to work together to build these end-to-end solutions. >> Francesca Lenzetti, thank you so much for coming on theCUBE, it was a pleasure having you. >> Thank you. Thank you. >> I'm Rebecca Knight, Stu Miniman. Stay tuned for more of theCUBE's live coverage of Microsoft Ignite. (upbeat music)

>>Lai from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Good afternoon, cube viewers. We are here at Microsoft ignite at the orange County convention center. I'm your host, Rebecca Knight. Along with my cohost Stu Miniman. We're joined by Edward Thompson. He is the product manager at get hub. Thank you so much for coming on the queue. So the get hub acquisition closed this time last year, uh, for our viewers who are maybe unfamiliar with get hub, explain what get hub is and then also tell us a little bit how it's going since the, >>yeah, I'd be happy to. So yeah, get hub is like the home for software development. If you're a, if you're a software developer, uh, you know, get hub rehost, you know, most of the open source repositories in the world. Um, you know, just to give you some stats. So at this time, last year, about the time the acquisition happened, um, we announced ad get hub universe, which is our annual developer conference, uh, that we had 30 million developers on GitHub and a hundred million repositories. So that's, that's a huge number of developers. I haven't seen the latest numbers. We'll announce the newest, uh, at get hub university this year, which is coming up next week. Uh, but the last number I saw was 40 million developers. So that's a growth of, you know, 10 million developers in just a year. Unbelievable. And that, that also means the 25% of our developers on get hub have joined within the last year. So that's just absolutely incredible. Um, and so yeah, I get hope. Is, is, is that, is that place for development? >>Yeah, it's really interesting when I look at some acquisitions that Microsoft has made back in 2016, they spent $26 billion for LinkedIn, which is most people's resume. And if you look last year it was seven and a half billion dollars for my friends in the software world. Get hub is their resume. That's right. Oh, when you talk about how you do things online, so you've got an interesting perspective on this because you've worked for Microsoft and get hub a couple of times. So give us a little bit about, you know, the relationship when you joined Microsoft 10 years ago, you know, open source developers, developers, developers weren't exactly on everyone's lips. So it gives a little bit of viewpoint through the various incarnations. >>So as you said, I joined Microsoft about 10 years ago. I came in through a little acquisition. Uh, we were just a very small software company, but we were building enterprise cross platform developer tools and we were about five engineers. And when you're building for, you know, Mac OS, Linux, Sonos, all these different platforms you use with so many people with so few rather, so few developers, you really need to take as much off the shelf as possible. You can't build all that yourself, you know. So if, if you needed a logging library, we would just go and use some open source products. We're not going to spend our time working on that when we could be building customer value in step. So when Microsoft acquired that company, they looked at, you know, they did their due diligence, they looked at the source code and they saw all this open source and they, I mean it was almost a deal breaker. >>They really lost their mind. Um, they were not geared up to deal with open source, to use open source, certainly not to contribute to open source. Uh, and so that's the Microsoft that I first saw. And, and to get from there to here is, is incredible. You know, over time. Um, we worked closely with some open source tools. We worked closely with get hub at Microsoft and that was really one of the early sort of unions between Microsoft and get hub was starting to work together on, on some open source software. And so we kind of started to know each other. We started to understand each other's companies and each other's cultures. And we started to, I don't know, I dare say like each other. Like I still count some of those early get hub employees that I met, uh, as some of my closest friends. Uh, and so at some point, uh, they became such close friends that I went to go work with them and get hub and then of course the Microsoft acquisition and so on. But I really think that that, you know, the, the transformation in Microsoft between, uh, the 10 years ago, Microsoft that really didn't get open source and today is, is just incredible. >>Well, let me just sit in that, in that culture and maybe culture clash a little bit the first time around because Microsoft developers have their own culture and their own uniform and their own way of interacting with each other. The, the, the hours that they work, which is very different from Microsoft, which is a pretty middle-aged Volvo driving kind of organization. So how, how does that work and, and what is, what has it been like the second time around the Microsoft as a middle aged Volvo driver? I think you can, you can >>wear a hoodie in and drive a Volvo. Um, no, I think it's been, I think it's been really great. The interesting thing about Microsoft is that it's not, you know, with so many people, it's not just like a homogenous big company. Um, we do have, you know, the developer tools division is a little bit different than offices, a little bit different than windows. And so they all have their own sort of unique cultures and, and now get hub slots in as its own unique culture. And we can, you know, we can talk to each other and we can understand each other, but we don't necessarily have to be all the same, you know, we can get hub team does kind of work some, some of us do work kind of weird hours. And, and I think that somehow that that works, especially with, you know, new tools coming to, um, coming to the marketplace, uh, you know, chat applications, we can be a lot less synchronous. We can be a lot more online and leave a message for each other. You know, we get out, we use get hub issues and pull requests to collaborate on almost everything, whether it's legal, uh, or, you know, our, our PR department. And it's not just developers. So we're trying to take these, these tools and, and sort of apply them to allow us to have the culture that we want at get hub. And I think Microsoft's doing the same thing as well. >>So speaking of new tools and you're, you're speaking here at ignite, you're about to announce the new repository with lots of new capabilities, enabling users to deploy at to any cloud. So tell us a little bit about, about the, this new tool. >>Yeah, so, uh, we announced, we call it get hub actions. We announced it last year at, at get hub universe. Our, uh, again, our, our annual developer conference. And our goal with GitHub actions was to allow people to take, you know, we've got 100 million repositories on get hub. We wanted our users to, to take those repositories and automate common tasks. Let me, let me give you a concrete example. Um, a lot of times somebody will open an issue on a, on a good hub repository, you know, uh, Hey, this doesn't work. I've got a bug report, you know, and they'll fill out an issue. And often either they didn't understand things or, um, the issue resolved itself, you know, who knows. We call that, uh, an issue that goes stale. And so you can build a workflow around that repository that will look for these stale issues and it will, uh, you know, just close them automatically. >>That gets rid of the mental tacks for somebody who, for a, for a developer who owns this repository to allow this, you know, this workload to just do it automatically. And so that's an example of a, a get hub actions workflow. Um, some people, uh, don't like swearing in their repository and you know, so if somebody were to open a bug report, you know, they might be angry. And so you could actually have a get hub workflow that looks for certain words and then replies and says, Hey, that's, here's our code of conduct. That's not the way we roll here. And actually a lot of people find that that feedback coming from a robot, uh, is a lot easier to take than a feedback coming from a human cause. They might want to meet with a person, can't argue with a robot. Well, not successfully. >>I think I have argued with the chat bot in my day. But anyway, >>yeah. So that's what we did a year ago and we opened it up into the beta program and we really quickly got feedback that, that people liked it and people were doing some really innovative things. But the one thing that people really wanted to automate was their bills. They wanted it to be able to build their code and deploy it. And we were just not set up for that. We, we, we didn't build, get hub actions as that platform in 2018 so we kind of had to pause our beta program. You know, I, they, they, they say that no, uh, no good plan survives first contact with the customer. So we had to, we had to hit pause on that. Uh, and we retooled. Um, we, we just sort of, I don't know, iterated on it, I guess. Uh, and we basically built a new platform that supported all of that repository automation capability that we had planned for in the first place. But also allowed for continuous integration build and deployments. So, um, we brought Macko S we brought Linux and windows runners, uh, that we host, uh, in our cloud, um, that people can use to build their software and then deploy it. And again, yeah, we want to be absolutely a tool agnostic. So any, any operating system, any, uh, language and cloud agnostic, we want to let anybody deploy anywhere, whether it's to a public cloud or on premises. >>Yeah. Uh, so, and with this, the second year we've done our program at this show and we really feel it's gone through a transformation. You know, this is a multi decade in a windows office. Uh, the business applications, uh, you know, cloud seeped in, developers are all over the place here. The day two keynote was all about app dev. Um, I'd love to get a little compare and contrast as to, you know, what you see here at Microsoft ignite versus, and I guess what I would call a pure dev show next week. Get hub universe happening in San Francisco. >>It's true. Get up universe is pretty much a pure dev show. Um, we, we have fewer booths, we have smaller booths. Uh, but, uh, and, and honestly, we have fewer sort of, um, I don't know, enterprise sorta. It, it pro crowd is what we used to call them. Um, but we do of course have a lot of dev ops. So, you know, we get up university has a lot of developers, but, uh, we're seeing a lot of dev ops, so there's a lot of meeting in the middle because, you know, I started out my career as assistant man actually. So I remember just, you know, doing everything manually. Um, but that's not the way we do things anymore. We automate all of our, uh, automate, uh, deployments. We automate all of our builds. You know, I don't want to sit there and type something into a console cause I'm going to get it wrong. Um, you know, I've accidentally deleted config files on production servers and that's, that's no good. So I think that they're, uh, get up universe is very different. A to ignite, it's much smaller, it's more intimate, but at the same time, there's a lot of, uh, overlap, especially around dev ops. >>Yeah. Uh, Satya Nadella yesterday in the keynote talked about the citizen developer as a big push for Microsoft. He said 61% of job openings for developers are outside the tech sector. Um, w what do you see in that space? Uh, the different developer roles these days? >>Uh, I think it's, it's absolutely fascinating. When I, uh, when I started my career, you know, you were, you were a developer and you, and you wrote code probably at a development company. Um, but now like everybody is automating tools, everybody's adopting machine learning. Um, when I look around at some of my friends in finance, uh, it's not about, it's not about anything but tech anymore. That's th they're, they're putting technology into absolutely everything that they do to succeed. Uh, and I think that, I think that it's amazing. Um, uh, like I said earlier, uh, 25% of developers on get hub have joined within the last year. So it's clear that it's just exploding. Um, everybody is doing, uh, software now. Yeah. >>There's something for the citizen developer on get hub though. Or is it too high level? I think >>I don't think it's too high level. I think that, uh, I think that that's a great challenge that we need to really step up to. Yeah. So Edward, >>the other big themes we heard here is talking about trust. So, you know, we talked about how Microsoft is different today than it wasn't in past, but I'm curious what good hub seen because you know, in social media when the acquisition first happened, it was, wait, I love GoodHub hub, I love all those people, but Hey, get lab. Hey, some of these other things I'm, you know, I'm fleeing for the woods. And every time I've seen an open source company get bought by a public company, there's always that online backlash. What are you seeing? How has the community reacted over the last year? >>I understand that skepticism. Uh, you know, I would be skeptical of any, uh, sort of change really. I, you know, the, the whole notion of who moved my cheese. But I think that the only way that we can, we can counter that is just to prove ourselves. And I think that we have, I think that Microsoft has allowed get hub to operate independently. And I think that, you know, I think a lot of people expect it to all of a sudden everything to change. And I don't think everything did change. I think that, uh, get hub now has more resources than it used to to be able to tackle bigger and more challenging problems. I think that get hub, uh, now can hire more and, and, and deploy to more places. And so I really just think that we're just going to keep doing exactly what we've been doing just better. So I think it's great. >>So universe happening next week teed up a little bit for us. What are some of the most exciting things that you're looking forward to? What kinds of conversations that will you be having? Presentations? >>So the big one for me is, is actions. I've, I, I've been just completely heads down working on, on get hub actions. So I'm really excited to be able to put that out there and, and you know, finally give it to everybody. Cause you know, we've been in beta now. Uh, like I said, we've been in beta for a year, which sounds like a ridiculous amount of time. Uh, but you know, it, it did involve a lot of retooling and rethinking and, and iteration with our, our beta testers. Um, and so the biggest thing for me is, is talking to people about actions and showing what they can do with actions. I'm super excited about that, but we've got a lot of other interesting stuff. You know, we've done a lot in the last year since our last universe. We've done a lot in the security space. Um, we've done, uh, we've both built tools and we've acquired some. Um, and so we'll be talking about those, uh, get hood package registry, which goes along really well with get hub actions. Uh, I'm super excited about that too. But yeah, I mean my, my calendar is, is, is just booked. Um, it's great. So many people like want to want to sit down and talk that I'm, I'm super excited about it. >>Excellent. Well great note to end on Edgar Thompson. Thank you so much for coming on the queue. We appreciate it. Thank you. I'm Rebecca Knight. First two minutes, stay tuned for more of the cubes live coverage from Microsoft ignite.

>> Announcer: Live from Orlando, Florida it's theCUBE! Covering Microsoft Ignite, brought to you by Cohesity. >> Hello, and happy taco Tuesday CUBE viewers! You are watching theCUBE's live coverage of Microsoft's Ignite here in Orlando, Florida. I'm your host Rebecca Knight, along with Stu Miniman. We're joined by Scott Hanselman, he is the partner program manager at Microsoft. Thank you so much for coming on theCUBE! >> Absolutely, my pleasure! >> Rebecca: And happy taco Tuesday to you! Will code for tacos. >> Will code for tacos. >> I'm digging it, I'm digging it >> I'm a very inexpensive coder. >> So you are the partner program manager, but you're really the people's programmer at Microsoft. Satya Nadella up on the main stage yesterday, talking about programming for everyone, empowering ordinary citizen developers, and you yourself were on the main stage this morning, "App Development for All", why is this such a priority for Microsoft at this point in time? >> Well there's the priority for Microsoft, and then I'll also speak selfishly as a priority for me, because when we talk about inclusion, what does that really mean? Well it is the opposite of exclusion. So when we mean inclusion, we need to mean everyone, we need to include everyone. So what can we do to make technology, to make programming possible, to make everyone enabled, whether that be something like drag and drop, and PowerApps, and the Power platform, all the way down to doing things like we did in the keynote this morning with C# on a tiny micro-controller, and the entire spectrum in between, whether it be citizen programmers in Excel using Power BI to go and do machine learning, or the silly things that we did in the keynote with rock, paper scissors that we might be able to talk about. All of that means including everyone and if the site isn't accessible, if Visual Studio as a tool isn't accessible, if you're training your AI in a non-ethical way, you are consciously excluding people. So back to what Satya thinks is why can't everyone do this? SatyaSacha thinks is why can't everyone do this? Why are we as programmers having any gate keeping, or you know, "You can't do that you're not a programmer, "you know, I'm a programmer, you can't have that." >> So what does the future look like, >> Rebecca: So what does the future look like, if everyone knows how to do it? I mean, do some imagining, visioning right now about if everyone does know how to do this, or at least can learn the building blocks for it, what does technology look like? >> Well hopefully it will be ethical, and it'll be democratized so that everyone can do it. I think that the things that are interesting, or innovative today will become commoditized tomorrow, like, something as simple as a webcam detecting your face, and putting a square around it and then you move around, and the square, we were like, "Oh my God, that was amazing!" And now it's just a library that you can download. What is amazing and interesting today, like AR and VR, where it's like, "Oh wow, I've never seen augmented reality work like that!" My eight-year-old will be able to do it in five years, and they'll be older than eight. >> So Scott, one of the big takeaways I had from the app dev keynote that you did this morning was in the past it was trying to get everybody on the same page, let's move them to our stack, let's move them to our cloud, let's move them on this programming language, and you really talked about how the example of Chipotle is different parts of the organization will write in a different language, and there needs to be, it's almost, you know, that service bus that you have between all of these environments, because we've spent, a lot of us, I know in my career I've spent decades trying to help break down those silos, and get everybody to work together, but we're never going to have everybody doing the same jobs, so we need to meet them where they are, they need to allow them to use the tools, the languages, the platforms that they want, but they need to all be able to work together, and this is not the Microsoft that I grew up with that is now an enabler of that environment. The word we keep coming back to is trust at the keynote. I know there's some awesome, cool new stuff about .net which is a piece of it, but it's all of the things together. >> Right, you know I was teaching a class at Mesa Community College down in San Diego a couple of days ago and they were trying, they were all people who wanted jobs, just community college people, I went to community college and it's like, I just want to know how to get a job, what is the thing that I can do? What language should I learn? And that's a tough question. They wonder, do I learn Java, do I learn C#? And someone had a really funny analogy, and I'll share it with you. They said, well you know English is the language, right? Why don't the other languages just give up? They said, you know, Finland, they're not going to win, right? Their language didn't win, so they should just give up, and they should all speak English, and I said, What an awful thing! They like their language! I'm not going to go to people who do Haskell, or Rust, or Scala, or F#, and say, you should give up! You're not going to win because C won, or Java won, or C# won. So instead, why don't we focus on standards where we can inter-operate, where we can accept that the reality is a hybrid cloud things like Azure Arc that allows us to connect multiple clouds, multi-vendor clouds together. That is all encompassing the concept of inclusion, including everyone means including every language, and as many standards as you can. So it might sound a little bit like a Tower of Babel, but we do have standards and the standards are HTTP, REST, JSON, JavaScript. It may not be the web we deserve, but it's the web that we have, so we'll use those building block technologies, and then let people do their own thing. >> So speaking of the keynote this morning, one of the cool things you were doing was talking about the rock, paper, scissors game, and how it's expanding. Tell our viewers a little bit more about the new elements to rock, paper, scissors. >> So folks named Sam Kass, a gentleman named Sam Kass many, many years ago on the internet, when the internet was much simpler web pages, created a game called Rock, Paper, Scissors, Lizard, Spock, and a lot of people will know that from a popular TV show on CBS, and they'll give credit to that show, in fact it was Sam Kass and Karen Bryla who created that, and we sent them a note and said, "Hey can I write a game about this?" And we basically built a Rock, Paper, Scissors, Lizard, Spock game in the cloud containerized at scale with multiple languages, and then we also put it on a tiny device, and what's fun about the game from a complexity perspective is that rock, paper, scissors is easy. There's only three rules, right? Paper covers rock, which makes no sense, but when you have five, it's hard! Spock shoots the Rock with his phaser, and then the lizard poisons Spock, and the paper disproves, and it gets really hard and complicated, but it's also super fun and nerdy. So we went and created a containerized app where we had all different bots, we had node, Python, Java, C#, and PHP, and then you can say, I'm going to pick Spock and .net, or node and paper, and have them fight, and then we added in some AI, and some machine learning, and some custom vision such that if you sign in with Twitter in this game, it will learn your patterns, and try to defeat you using your patterns and then, clicking on your choices and fun, snd then, clicking on your choices and fun, because we all want to go, "Rock, Paper, Scissors shoot!" So we made a custom vision model that would go, and detect your hand or whatever that is saying, this is Spock and then it would select it and play the game. So it was just great fun, and it was a lot more fun than a lot of the corporate demos that you see these days. >> All right Scott, you're doing a lot of different things at the show here. We said there's just a barrage of different announcements that were made. Love if you could share some of the things that might have flown under the radar. You know, Arc, everyone's talking about, but some cool things or things that you're geeking out on that you'd want to share with others? >> Two of the things that I'm most excited, one is an announcement that's specific to Ignite, and one's a community thing, the announcement is that .net Core 3.1 is coming. .net Core 3 has been a long time coming as we have began to mature, and create a cross platform open source .net runtime, but .net Core 3.1 LTS Long Term Support means that that's a version of .net core that you can put on a system for three years and be supported. Because a lot of people are saying, "All this open source is moving so fast! "I just upgraded to this, "and I don't want to upgrade to that". LTS releases are going to happen every November in the odd numbered years. So that means 2019, 2021, 2023, there's going to be a version of .net you can count on for three years, and then if you want to follow that train, the safe train, you can do that. In the even numbered years we're going to come out with a version of .net that will push the envelope, maybe introduce a new version of C#, it'll do something interesting and new, then we tighten the screws and then the following year that becomes a long term support version of .net. >> A question for you on that. One of the challenges I hear from customers is, when you talk about hybrid cloud, they're starting to get pulled apart a little bit, because in the public cloud, if I'm running Azure, I'm always on the latest version, but in my data center, often as you said, I want longer term support, I'm not ready to be able to take that CICD push all of the time, so it feels like I live, maybe call it bimodal if you want, but I'm being pulled with the am I always on the latest, getting the latest security, and it's all tested by them? Or am I on my own there? How do you help customers with that, when Microsoft's developing things, how do you live in both of those worlds or pull them together? >> Well, we're really just working on this idea of side-by-side, whether it be different versions of Visual Studio that are side-by-side, the stable one that your company is paying for, and then the preview version that you can go have side-by-side, or whether you could have .net Core 3, 3.1, or the next version, a preview version, and a safe version side-by-side. We want to enable people to experiment without fear of us messing up their machine, which is really, really important. >> One of the other things you were talking about is a cool community announcement. Can you tell us a little bit more about that? >> So this is a really cool product from a very, very small company out of Oregon, from a company called Wilderness Labs, and Wilderness Labs makes a micro-controller, not a micro-processor, not a raspberry pie, it doesn't run Linux, what it runs is .net, so we're actually playing Rock, Paper, Scissors, Lizard, Spock on this device. We've wired it all up, this is a screen from our friends at Adafruit, and I can write .net, so somehow if someone is working at, I don't know, the IT department at Little Debbie Snack Cakes, and they're making WinForms applications, they're suddenly now an IOT developer, 'cause they can go and write C# code, and control a device like this. And when you have a micro-controller, this will run for weeks on a battery, not hours. You go and 3D print a case, make this really tiny, it could become a sensor, it could become an IOT device, or one of thousands of devices that could check crops, check humidity, moisture wetness, whatever you want, and we're going to enable all kinds of things. This is just a commodity device here, this screen, it's not special. The actual device, this is the development version, size of my finger, it could be even smaller if we wanted to make it that way, and these are our friends at Wilderness Labs. and they had a successful Kickstarter, and I just wanted to give them a shout out, and I just wanted to give them a shoutout, I don't have any relationship with them, I just think they're great. >> Very cool, very cool. So you are a busy guy, and as Stu said, you're in a lot of different things within Microsoft, and yet you still have time to teach at community college. I'm interested in your perspective of why you do that? Why do you think it's so important to democratize learning about how to do this stuff? >> I am very fortunate and I think that we people, who have achieved some amount of success in our space, need to recognize that luck played a factor in that. That privilege played a factor in that. But, why can't we be the luck for somebody else, the luck can be as simple as a warm introduction. I believe very strongly in what I call the transitive value of friendship, so if we're friends, and you're friends, then the hypotenuse can be friends as well. A warm intro, a LinkedIn, a note that like, "Hey, I met this person, you should talk to them!" Non-transactional networking is really important. So I can go to a community college, and talk to a person that maybe wanted to quit, and give a speech and give them, I don't know, a week, three months, six months, more whatever, chutzpah, moxie, something that will keep them to finish their degree and then succeed, then I'm going to put good karma out into the world. >> Paying it forward. >> Exactly. >> So Scott, you mentioned that when people ask for advice, it's not about what language they do, is to, you know, is to,q you know, we talk in general about intellectual curiosity of course is good, being part of a community is a great way to participate, and Microsoft has a phenomenal one, any other tips you'd give for our listeners out there today? >> The fundamentals will never go out of style, and rather than thinking about learning how to code, why not think about learning how to think, and learning about systems thinking. One of my friends, Kishau Rogers, talked about systems thinking, I've hade her on my podcast a number of times, and we were giving a presentation at Black Girls Code, and I was talking to a fifteen-year-old young woman, and we were giving a presentation. It was clear that her mom wanted her to be there, and she's like, "Why are we here?" And I said, "All right, let's talk about programming "everybody, we're talking about programming. "My toaster is broken and the toast is not working. "What do you think is wrong?" Big, long, awkward pause and someone says, "Well is the power on?" I was like, "Well, I plugged a light in, "and nothing came on" and they were like, "Well is the fuse blown?" and then one little girl said "Well did the neighbors have power?", And I said, "You're debugging, we are debugging right?" This is the thing, you're a systems thinker, I don't know what's going on with the computer when my dad calls, I'm just figuring it out like, "Oh, I'm so happy, you work for Microsoft, "you're able to figure it out." >> Rebecca: He has his own IT guy now in you! >> Yeah, I don't know, I unplug the router, right? But that ability to think about things in the context of a larger system. I want toast, power is out in the neighborhood, drawing that line, that makes you a programmer, the language is secondary. >> Finally, the YouTube videos. Tell our viewers a little bit about those. you can go to D-O-T.net, so dot.net, the word dot, you can go to d-o-t.net, so dot.net, the word dot, slash videos and we went, and we made a 100 YouTube videos on everything from C# 101, .net, all the way up to database access, and putting things in the cloud. A very gentle, "Mr. Rodgers' Neighborhood" on-ramp. A lot of things, if you've ever seen that cartoon that says, "Want to draw an owl? "Well draw two circles, "and then draw the rest of the fricking owl." A lot of tutorials feel like that, and we don't want to do that, you know. We've got to have an on-ramp before we get on the freeway. So we've made those at dot.net/videos. >> Excellent, well that's a great plug! Thank you so much for coming on the show, Scott. >> Absolutely my pleasure! >> I'm Rebecca Knight, for Stu Miniman., stay tuned for more of theCUBE's live coverage of Microsoft Ignite. (upbeat music)

>>Live from Orlando, Florida. It's the cube covering Microsoft ignite brought to you by Cohesity. >>Good afternoon everyone. You are watching the cubes live coverage of Microsoft ignite. I am your host, Rebecca Knight, along with my cohost Stu Miniman. We are joined by Sean Gifford. He is the senior infrastructure administrator, administrator and infrastructure team lead at Illinois mutual. Thank you so much for coming on the cube. Thanks for having me. This is really fun. Yeah. So tell us a little bit about Illinois mutual. >>Sure. So Alou Mutual's a a life insurance company. We sell life insurance Dai and several other insurance products. We've been around for a little over a hundred years now. So, uh, not myself, but uh, you know, the company. Um, and uh, we are based in Peoria, Illinois, uh, about 200 employees. And uh, we're uh, mostly uh, based on one headquarters there with a couple of their uh, uh, one of their, uh, co located dead center. >>And you are a senior infrastructure administrator. Tell us, tell our viewers a little about what you do. >>Sure. So basically a infrastructure admin means you do just about everything now. Just seems that way sometimes. Um, so, uh, my team, uh, handles everything from windows system, ministration, um, individual systems like a, your exchange, SharePoint, you know, things like that that we would use on prem. Um, too. Also outside of the on prem side, any of our cloud management, et cetera. All right, so, so Sean, you know, this shows decades old and started out at the windows administrator and you know, what's now office or O three 65, uh, at its core. Uh, so have you been to the show before or is this your first time? Uh, on one time, watch. Never on before. Okay. So, but you know, I, I'd love just your viewpoint on Microsoft before we get into some of the environments. Cause of that, you know, Microsoft, you know, started out as people knew kind of windows and some of their apps, but now, you know, the sprawling company with, you know, apps everywhere in the cloud, the edge and the data center, uh, you know, such a big footprint is what they do. >>How you personally in Illinois mutual look at Microsoft? Well, Microsoft is definitely a major partner for Illinois mutual. Right. I mean, we are a very big Microsoft shop. Does that mean that everyone, uh, you know, thinks that Microsoft is the best that every product? Of course not, but, uh, they do a lot of things and they do them really well. So I mean, we obviously rely on them not only for our on prem active directory, but then replicating that out to, to as your, um, you know, I mean our email much just people like might not like to admit it is still one of the most essential pieces of the infrastructure. Um, and that's around on exchange. So I mean, honestly, uh, as much as a, you know, people might want to say Cisco networking is like the backbone of the network. Uh, my Microsoft technologies really are kind of the backbone as far as I look at it. >>Okay. So you still have exchange, you know, in your own shop. You haven't made the move. DOE Microsoft pressure in there. >> Yeah, I know, right? Um, so, uh, no. Yeah, we're, we're still on prem. Um, we have our O three 65 account and we're, um, full disclosure. So, you know, I've been in it for 20 some years, but, uh, uh, been into Eleni mutual for about four. When I was in consulting before only mutual. I did a lot of, uh, in a cloud consulting and getting people on. So it felt really weird to me, but that's, uh, you know, coming into Eleanor mutual where, uh, at the time they came on, uh, it was, the cloud in general was like a bad word. Um, so, and getting past that culture-wise has been a little bit of a struggle. >> Oh yeah. I would, I'd love you to just step back for a second. >>You know, you work for a company that's over a hundred years old, uh, so, you know, exchange in cloud and everything like that is, you know, been around for a very short piece of the overall company. So tell us some of the, you know, what are some of the changes, the pressures going on? Oftentimes there's M and a involved in pulling all those things together. So, uh, you know, Illinois mutual as a company, what are the, what are the drivers and stressors on, you know, your, your, your, your organization? >> Yeah, well first and foremost, data security, right? Um, getting it, uh, any data so that it's fully encrypted at rest in transit and all that sort of thing so that, uh, you know, and, and you don't have to worry about it, uh, leaving anywhere once it's on someone else's prem. Right. Um, it has always been a big part of it. >>Um, trust I mean in is really what it just comes down to. Uh, when you, when you're selling life insurance policies that, you know, go for the life of a human being, you know, that's a pretty longterm relationship. And, uh, going with something, uh, especially a technology like that, that is considered as you say, you know, new to the game, uh, has, has been a struggle for sure. I mean, we're, uh, just to give you an idea, we're a still on mainframe and, uh, we have now to be, to be fair, we have a sizable, uh, uh, project for getting, uh, things moved off of the mainframe, but that, you know, is 40 plus years old. Getting, getting that moving, uh, to, you know, try and hop just into the end of the 20th century, let alone the 21st is always a little bit hard. >>So talk about some of the specific challenges of managing legacy infrastructure, managing tape and, and sort of what, what you do as more of a on the Vanguard of technology in terms of how you're leading your organization to make changes that are, that are much needed. >>Yeah. Uh, so yeah, when, when I came in on, in fact until just a few months ago, you bring up the example of tape. I mean, uh, we had been doing tape off to a, on off-prem, a site that, uh, had been just the way they did it, right. And, uh, um, as a joke, when some people an earlier, um, as the new crew came in, uh, one of the things that we instituted is a, uh, that's how we always done it. Jar. Um, and, uh, instead of people having a swear jar, right, they'd have to throw money in a anytime. They didn't say, I can't do it cause that's how we've always done it. And that's always been just that struggle, you know, with tape, you know, why is it that we're sending our tapes, why are we sending tapes at all? But why are we sending them to this place that's a, you know, three miles away from our place and calling that disaster recovery. >>Um, so I, I, that has been one of the major struggles for sure. Um, getting through that. But, uh, I've been really impressed, uh, culture-wise with the fact that, uh, people are really starting to, to get in line with it. You know, they're seeing the, the advantages that we're bringing. Um, w when you have a cloud strategy that's well thought out and, uh, isn't, uh, at least inherently a, you know, tied to a given vendor as your AWS or whoever it might be. Um, and, and you're not making decisions for cloud just for the sake of calling it cloud. It makes a big difference. I think. So, uh, as you, as you started to embrace cloud, uh, how did things like data protection and security, you know, what stayed the same? You know, what, what things did you need to rethink as you roll those out? >>Data protection changes completely, right? Um, first of all, uh, you know, everyone had that, uh, idea that if it's in cloud, of course it's completely protected, right? It's not right. And so getting people to understand that, uh, as they say, Oh yeah, we're going to, you know, do this new sass offering. It's totally, you know, they take care of everything, the applications on them. You don't have to touch it. Right? Well, no, that's not really the case. You know, that they can lose a data just like anybody else. So getting through pieces like that on the, on the cloud side is, has been a struggle. But, uh, getting into just even normal or excuse me, newer, um, on-prem technologies has, has meant changing completely the way we're doing a lot of things. Um, the, uh, it was becoming harder and harder, especially as we moved data sets off of the, uh, uh, mainframe side to keep up with a lot of those replication timeframes and things like that because, uh, it, as you push more data through what is still a small pipe and it's never big enough, um, it, uh, it became everyday nightmares. >>So it's been a struggle. >>So when you are, when you, when you come to the conclusion that you need to make a change and you need to look for other kinds of solutions, how do you go about finding the right vendor for the problem that you're trying to solve? How do you find the best in class? Right. And that's, >>that's been an interesting piece with w with alimony mutual and, and, uh, having spent time at VARs for the first part of my career, I was used to, you know, answering things like RFPs and whatnot. Right. Um, and we don't necessarily do it within an RFP process, but, uh, honestly conventions like this one and stuff is how I like to do it. Um, you know, we get really stuck in the day to day doldrums and stuff like that too, right? As much as you're trying. And your goal might always be to, you know, get things to at least the cutting edge if not the bleeding edge. Uh, you really need to, you know, be at a places where you can learn about new new technologies now. So when it comes to us, we end up finding a lot of our vendors like that. And, uh, you know, cause we don't really want her to necessarily rely on, you know, the sales people or, or even really our, our, you know, sales people from a VAR or anything like that. >>It's about trying to find, uh, that, that third party knowledge to, to really understand what's the best thing for the needs and the, uh, pain points that you're having. And that's Sean, can you bring us in through, can you tell us, you know, which solutions you were, uh, you were deciding between and how you ultimately came to your final decision? Yeah. So, uh, so we looked at, uh, several different vendors. Um, when it came to our, uh, data protection, uh, analysis, we had looked at a beam for awhile. We had looked at rubric. Um, we had, we had looked at, uh, uh, of course, uh, you know, trying to continue things along with our current vendor at the time we should have been con ball. Um, and we did, uh, we did an M U a you right. a utility attribute analysis. Yeah. Uh, and we, uh, set that up and, uh, just tried to really compare and, uh, uh, you know, what are the actual things we really wanted, what were the selection criteria we have and grading each vendor on those things. >>Um, and ultimately that's what it took to be able to get it through to, you know, to our executives and, and whatnot, uh, building an algorithm that, uh, that, that looked at all those pieces and then, you know, as really address the pain points we were having, you know, uh, not just as a Jeep cause yes, as always a big thing. Right. But is it gonna replicate in time? Is it, is it going to, uh, reduce our overhead, uh, that we're in, that we're experiencing right now? Am I going to have to keep on a full time contractor just to, you know, do my data protection. So, all right, so you ended up choosing Cohesity. So what was it about Cohesity that separated it from, uh, from, from all the others? Yeah, so Cohesity, um, I had pretty given up, uh, when I did the analysis I was talking to you about a couple of years ago. >>Um, I looked around and nobody could quite fit the square peg into the round hole that I was trying to make it work. Right? I wanted a lot of things and nobody had exactly what I was looking for. Can we sit? He was the first one that could really do most of what I wanted to do. Uh, as an example. Um, being able to replicate your data, but while keeping it encrypted on both ends and but still having dedupe and compression and all those things built in, into the platform and, and weight, it's actually searchable wallets in those States, right? I can do like a Google type search and be able to find exactly what I'm looking for. Made a huge difference and it cut it down. Uh, you know, time wise, not only on the administrative effort but also when I had to do a restore and we had a major project just a, a month or so ago where, uh, I had my DBA doing a backup, uh, during a rollout. He accidentally set at the backup to go with the wrong side at the wrong data center. Everyone was kind of freaking out, right? What are we gonna do? We restored it across data centers, across the handling, kept within our timeframes. I was, that's the type of thing, type of thing that really makes it different stuff. So, >>so, so talk about some of the results that you've seen since implementing this. >>Yeah, so replication, um, that I brought up a couple of times, but, uh, it was a really big problem that we would take. For instance, um, I'll take SQL as an example, right? Our SQL data, we would do a data mirroring, right? So it replicated across our wind line for that. We would, uh, we would do a, uh, primary storage replication. So in this case, a nimble Sans that would replicate across with snapshots and then our actual data protection. Uh, so the same exact data would have to replicate across one tiny land line three times for every a replication. Um, since putting in Cohesity, we have experienced an actual, I was blown away when we actually calculated the results, but it was actually a four times increase in replication efficiency. Uh, it just allowed us to do a whole lot more without buying more land bandwidth. So this is a big deal for us. >>So, in terms of this show, as you said this, this is really helpful for you to go and meet different kinds of companies that you might not even know exists. There are new entrance all the time. So what are you going to bring back with you when you go back to Illinois mutual next week? What are some of the things that have stuck out to you, resonated most with you? >>Yeah, so I'm, I'm really encouraged and even with just Cohesity, for instance, I've talked to a, I'm actually met up with a couple of the engineers that I've talked with them, um, who had one of them and even put out a, uh, a new, uh, feature request for us. And he was telling me before lunchtime about some new features available that I can start to change up some of my jobs. I've, I'm really excited. I was texting my, my, uh, data protection, uh, you know, secondary admin, uh, uh, you know, texting furiously to them, we can do this. And, you know, I'm really excited about that. But, uh, honestly on the other side, is these your side? I'm, uh, really, uh, excited to learn about some of the things that we can actually implement, uh, even with older infrastructure, uh, in trying to pull some of those things, uh, into a cloud platform in ways that actually make sense and aren't gonna lose us money in the longterm. So I'm happy with that. Thank you so much for coming on the cube. Thank you very much. It's been fun. I'm Rebecca aid for Stu Miniman. Stay tuned for more of the cube.