>>from around the >>globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by AWS Worldwide Public sector. >>Right. Hello and welcome to the Cube. Virtual our coverage of aws reinvent 2020 with special coverage of the public sector experience. This is the day when we go through all the great conversations around public sector in context to reinvent great guest will for Justin, head of A W s ai and machine learning enablement and partnership with AWS Wilfred. Thanks for joining us. >>Thanks, John. Thanks for having me on. I'm pretty excited to be part of this cube interview. >>Well, I wish we could be in person, but with the pandemic, we gotta do the remote. But I want to get into some of the things you're working on. The A I m l Rapid Adoption Assistance Initiative eyes a big story. What is? What is it described what it is. >>So we launched this artificial intelligence slash machine learning rapid adoption assistance for all public sector partners who are part of the AP in network in September 2020. Onda. We launched this in response to the president's Executive water called the American Year Initiative. So the rapid adoption assistant what it provides us. It provides a direct scalable on automated mechanism for all the public sector partners to reach out to AWS experts within our team for assistance in building and deploying machine learning workloads on behalf of the agencies. So for all all the partners who are part off, this rapid adoption assistance will go through a journey with AWS with my team and they will go through three different faces. The first face will be the envisioning face. The second phase would be the enablement face on the third would be the bill face, as you know, in the envisioning face will dive deeply The use case, the problem that they're trying to solve. This is where we will talk about the algorithms and framework on. We will solidify the architecture er on validate the architecture er on following that will be an enablement face where we engage with the partners trained their technical team, meaning that it will be a hands on approach hands on on keyboard kind of approach where we trained them on machine learning stack On the third phase would be the bill face on the partners leverage the knowledge that they have gained through the enablement and envisioning face, and they start building on rolling out workloads on behalf of the agencies. So we will stay with them throughout the journey on We will doom or any kind of blockers be technical or business, so that's a quick overview off a more rapid adoption assistance program. >>It's funny talking to Swami over the years and watching every year at reinvent the A I. M L Portfolio. Dr Matt Wood is always doing something new. This year is no exception. Even Mawr Machine Learning and AI in the In the News on this rapid adoption assistant initiative sounds like it's an accelerant. Um, so I get all that, But I want to ask you, what problem does it solve for the customer? Or Amazon is because there's demand. There's too much demand. People wanna go faster. What problem does this initiative this rapid adoption of a I machine learning initiative solved? >>So as you know, John, artificial intelligence and related technologies like deep learning and machine learning can literally transform the way agencies operate. They can enable them to provide better services, quicker services and more secure services to the citizens of this country. And that's the reason the president released an executive water called American Initiative on it drives all the government agencies, specifically federal agencies, to promote artificial intelligence to protect and improve the security and economy of the nation. So if you think about it, the best way to achieve the goal is to enable the partners toe build workloads on behalf of agencies, because when it comes to public sector, most of the workloads are delivered by partners. So the problem that we face based on our interaction with the partners is that though the partners have been building a lot off applications with AWS for more than a decade, when it comes to artificial intelligence, they have very limited resources when it comes to deep learning and machine learning, right, like speech recognition, cognitive computing, national language frosting. So we wanted exactly address that. And that's the problem you're trying to solve by launching this rapid adoption assistance, which is nothing but a dry direct mechanism for partners to reach our creative, these experts to help them to build those kind of solutions for the government. >>You know, it's interesting because AI and machine learning it's a secret sauce for workload, especially modern workloads. You mentioned agencies and also public sector. You know, we've seen Certainly there's been pandemic a ton of focus on moving faster, right? So getting those APS out quickly ai drives a lot of that, so totally get it. Um, I think it's an accelerant great program. It just makes a lot of sense. And I know you guys have been going in tow by vertical and kind of having stage making all these other tools kind of be specialized within those verticals. So it makes a ton of sense. I get it, and it is a great, great initiative and solve the problem. The question I have is who gets access to this, right? Is it just agencies you mentioned? Is it all public sector? Could you just clarify who can apply to this program? >>Yes, it is a partner focused program. So all the existing partners, though it is going to affect the end agencies, were trying to help the agency's through the partners. So all the existing AP in partners who are part of the PSP program, we call it the public sector partner program can apply for this rapid adoption assistance. So you have been following John, you have been following AWS and AWS partners on a lot of partners have different kind of expertise on they. They show that by achieving a lot of competencies, right, it could be technical competencies like big data storage and security. Or it could be domain specific competencies like public safety education on government competency. But for a playing this program, the partners don't need to have any kind of competency, and all they have to have is they have to be part of the Amazon Partner Network on they have to be part of the public sector partner program. That is number one Second. It is open toe all partners, meaning that it is open toe. Both technology partners, as well as consulting partners Number three are playing is pretty simple, John, right? You can quickly search for a I M or rapid adoption assistance on a little pop up a page on a P network, the partners have to go on Phil pretty basic information about the workload, the problem that they're trying to solve the machine learning services that they're planning to use on a couple of other information, like contact information, and then our team reaches out to the partner on help them with the journey. >>So real. No other requirements are prerequisites. Just part of the partner program. >>Absolutely. It is meant for partners. And all you have to do is you have to be a part off 18 network, and you have to be a public sector apartment. >>Public sector partner makes sense. I mean, how you're gonna handle the demand. I'm sure the it's gonna be a tsunami of interest, because, I mean, why wouldn't someone take advantage of this? >>Yep. It is open to all kinds of partners because they have some kind of prerequisites, right? So that's what I'm trying to explain. It is open to all partners, but we have since it is open to existing partners, we kind of expect the partners toe understand the best practices off deploying a machine, learning workloads, or for that case, any kind of workload which should be scalable, land secure and resilient. So we're not going to touch? Yeah, >>Well, I wanna ask you what's what's the response been on this launch? Because, you know, I mean to me, it just makes it's just common sense. Why wouldn't someone take advantage of it? E. Whether responses partner or you have domain expertise or in a vertical just makes a lot of sense. You get access to the experts. >>The response has been great. As I said, the once you apply the journey takes six weeks, but already we just launched it. Probably close toe. Two months back in September 2nd week of September, it is almost, uh, almost two months, and we have more than 15 partners as part of this program on dykan name couple of partners say, for example, we worked with delight on We Are. We will be working on number of work clothes for the Indy agencies through delight. And there are other couple of number of other partners were making significant progress using this rapid adoption assistance that includes after associates attained ardent emcee on infinitive. So to answer your question, the response has been great so far. >>So what's the I So I gotta ask, you know, one of things I thought that Teresa Carlson about all the time in Sandy Carter is, you know, trying to get the accelerant get whether it's Fed ramp and getting certifications. I mean, you guys have done a great job of getting partners on board. Is there any kind of paperwork? What's the process? What should a partner expect to take advantage of that? I'm sure they'll be interest beyond just the launch. What's what's involved? What zit Web bases it check a form? Is that a lot of hoops to jump through? Explain what? What? The process >>is. Very interesting question. And it probably is a very important question from a part of perspective, right? So since it is offered for a peon partners, absolutely, they should have already gone through the AP in terms and conditions they should have. Already, a customer agreement or advanced partners might have enterprise agreement. So for utilizing this for leveraging this rapid adoption assistance program, absolutely. There's no paperwork involved. All they have to do is log into the Web form, fill up the basic information. It comes to us way, take it from there. So there is no hard requirements as long as you're part of the AP network. And as long as you're part of the PSP program, >>well, for great insight, congratulations on a great program. I think it's gonna be a smash hit. Who wouldn't wanna take? I know you guys a lot of goodness there with Amazon Cloud higher level services with a I machine learning people could bring it into the table. I know from a cybersecurity standpoint to just education the range of, um, workloads is gonna be phenomenal. Obviously military as well. Eso totally cool. Love it. Congratulations. Like my final question is, um, one about the partner. So I'm a partner. I like this. Say I'm a partner. I jump in Easy to get in. Walk me through What happens? I mean, I signed some paperwork. You check the boxes, I get involved, I get, like, a rep. Do I do things? Do I? What happens to me? Walk me down the path of execution. What's expectation of what will happen? >>I'll explain that in two parts, John. Right? One is from a partner journey perspective and then from AWS perspective. What? What we expect out off partners, right? So, from a experience perspective, as long as they fill out, fill out the web form on, fill out the basic information about the project that they're trying to work. It comes to us. The workflow is automated. All the information is captured on the information comes to my team on. We get back to the partners within three days, but the journey itself can take from 6 to 8 weeks because, as I mentioned during the envisioning case, we try to map the problem to the solution. But the enablement phases the second phase is where it can take anywhere from 2 to 3 weeks because, as I mentioned, we focused on the three layers of the machine learning stack for certain kind of partners. They might be interested in sage maker because they might want to build a custom machine learning model. But for some of the partners, they want the argument that existing applications using S. R or NLP or nL you so we can focus on the high level services. Or we can train them on stage makers so it can take anywhere between 2 to 3 weeks or 3 to 4 weeks. And finally, the build phase varies from partner to partner on the complexity of the work. Lord at that point were still involved with a partner, but the partner will be taking the lead on will be with them to remove any kid of Glaucus being technical or, uh, business couple of Yeah, well, I just >>want to say the word enablement in your title kind of speaks volumes. This isn't about enabling customers. >>It is all about enabling the in customers through partners. So we focus on enabling partners. They could be business big system integrators like Lockheed's or Raytheon's or Delight. Or it could be nimble in small partners. Or it could be a technology partner building an entire pass or SAS service on behalf of the government agencies. Right or that could help the comment agencies in different verticals. So we just enabled the in the agency's through the partners. And the focus of this program is all about partner enablement. >>Well, for just ahead of a does a i machine learning enablement in partnership, part of public sector with a W. S. This is our special coverage. Well, for thanks for coming on being a cube virtual guest. I wish we could be in person, but this year it's remote. This is the cube virtual. I'm John for a year. Host of the Cube. Thanks for watching. >>Thanks a lot, John.

>> Instructor: From around the globe, it's theCUBE. With digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Worldwide Public Sector. >> And welcome back to theCUBE's virtual coverage of AWS re:Invent 2020. I'm John Furrier your host. This is theCUBE virtual. Special coverage of the public sector. Today Rebecca Wetherly, Director of Worldwide Public Sector System Integrator Partners for AWS. Great to see you. Welcome to theCUBE virtual. >> Thanks, John. I'm glad to be here. >> So just the news we've been covering all through re:Invented priors, just the growth in public sector. The acceleration with the pandemic, it's just that this acceleration has been massive. So I want to just get get your take. It's been hard but also, it's been an opportunity for partners. >> You leading the Integrators. >> Sure. >> They're on the front lines. I got to ask you, (chuckling) what is AWS doing to support their partners, as the business models are forced really upon them to move faster? >> Yeah, sure. Thank you. Let me start with saying that, companies are really building a business in partnering with us. Because of global needs such as the pandemic. But we also have many partners that are coming to us because of our customer demand outside of COVID. Because we're a leader in cloud innovation, and because we've got a global field engagement and go-to-market strategy. You know AWS is a customer driven company, and our partners are also our customers. We have a full suite of programs for our partners and whether they be a consulting partner or a technology partner. We have tens of thousands of partners all across the globe, with more than 35,000 new partners since January 2016. And in our public sector space, we have over 1,500 partners with solutions and experience, delivering on a combination of government, education, and nonprofit customer missions all around the world. Consulting partners are really professional services firms. That help customers of all types and sizes design, architect, build, migrate and manage workloads and applications on AWS. They accelerate the journey to the cloud for our customers. And they often are implementing technology solutions. As you referred to around COVID, that our technology partners are actually developing. So consulting partners are SIs that I work with, Strategic Consultant Partners, Managed Service Providers, and also resellers. And they are providing really great value to our customers by providing strategic advisory services, implementation and migration services, Staffog. They also have great specialty depth and machine learning or AI. IOT, data lakes and analytics. And even in things like communication tools using technologies like we're doing today on zoom, and taking those to our customers. Our technology partners on the other hand they deliver hardware, connectivity services and software solutions that are hosted or integrated with AWS cloud. And they deliver components to broad customer solutions, often via our consulting partners. We have a great, a great way of delivering technology through our AWS Marketplace and we'll talk about that in a minute. But I will say, that our tech partners are helping our customers decrease their deployment times, provide cost optimization and infrastructure for DevOps and production workloads. They're also lowering their costs on code development by using our broad portfolio of services. And oftentimes for our public sector customers they are helping shorten the path to achieving regulatory requirements for our public sector needs. >> That's awesome. You guys have a lot to do there to support your partners. Obviously the main concern is, how do I maintain that profitability in the fast pace. And then making sure that their customers can also transition and ride the digital transformation wave. So I have to ask you, what programs are you guys offering to help these partners succeed because certainly it's beyond just the profitability. it's this new business model of Cloud-scale. So what programs specifically are you guys offering? >> Yeah, we have a lot of different programs at AWS. The first stop is really the AWS Partner Network. Which I'll refer to as the APN. This is really our global partner program for technology and consulting businesses to leverage Amazon Web Services to build solutions and services for customers. The APN is the first place where companies can build, market, and sell their offerings, and provide valuable business, technical, and opportunities for marketing with their customers. Our programs provide promotional support. We provide visibility throughout our website. We give partners opportunities to engage with customers for events, social media. And we provide access to funding and go-to market opportunities. I touched on briefly our AWS Marketplace . And this is really a great program offering to our customers both consulting partners and technology partners. The AWS Marketplace simplifies procurement and entitlement of provisioning software across 50 different categories. And we have more than 8,000 transactional listings. That marketplace connects customers with more than 1,000 different ISBs or independent software vendors to help meet their business needs. And we have more than 300,000 customers using software from the AWS Marketplace. The Marketplace is also available on 24 different regions. So when a customer chooses to use the Marketplace they have the opportunity to procure their software from our consulting partners and leverage the software and the technology from our from our tech partners. Other really cool programs we have are our Partner Transformation Program or SaaS Factory Program, and also our Migration Acceleration Program. >> Awesome. Great programs. What else are you guys besides programs, Are you guys doing >> Yeah. >> to help partners succeed. Because I know there's a lot of touches, there's some new things going on. What else do you guys do? >> Yeah, I think we have a lot of great resources available to our partners. Most of our partners have Partner Development Managers that are working with them on a daily basis. Access to our business development and sales teams, solutions architects and other subject matter experts. Really getting deep into the technology and having access to those folks to help our partners design, build, architect and validate a purchase with customers. Also our Professional Services Teams.Right? They are deep subject matter experts that our partners have the ability to tap into. And then of course, because of the way we go to market in public sector, access and engagement with our capture, bid, and proposal teams are super important. We also have to consider access for our partners to be trained and become certified. That's a real requirement that our customers need to help them achieve their goals. We offer digital and classroom training for our partners to be able to learn at their own pace or via an AWS instructor. And AWS training and certification helps our partners build competence, confidence, and credibility with our customers. We also have AWS competencies. And our competency program is designed to identify, validate, and promote APN partners that have demonstrated technical expertise and proven customer success. One of the most critical competencies for us is and these days is around our migration. Migration competencies allows our partners to accelerate their customer's cloud adoption journey by providing strategy, personnel tools, education, and tech support to their customers. One of those customers and partners is InterVision. They're a consulting firm that provide strategic advisory services to organizations to help them run, grow, and transform their business needs with the cloud via modern IT services. Their experts have a deep history in technology solutions and they have a deep bench of certified engineers and data scientists to excel delivering Managed Services and Migration Services to both public sector and commercial customers. And with the California Department of Technology. Which is a state agency that provides authority and responsibility over all aspects of technology for California state governments, they selected InterVision to work with them due to their expertise and their proprietary offering called Cloud Migration Lifecycle Assurance. And that offering provided that CDT, the ability, pardon me. To take advantage of their Cloud Migration operations and optimization specialty. So our partners are really getting great opportunities to build their business and to accelerate their their work with us through a variety of programs, and by really digging deep and leveraging all of the programs that are available to them. >> It's nice with the mix of programs, plus the field support, plus the care they're nurtured that, grow that. As you know in these in these markets where you have partnerships and channels and relationships. You need to be profitable. And profitability is about happy customers. >> Rebecca: Sure. >> And margins.(chuckles) Making money. >> Rebecca: Yeah. Sure. >> You got to make money to stay in business. So, this is a big opportunity as the new economics of cloud come into the channel. This is really a big conversation. Moving fast, scaling up, new kinds of services. The integrators are really having a good time here. And these are new practices. How can someone learn more? What's out there? How does someone get engaged with you guys? What information can they, is there a site? Is there a program? How does someone get the resources? What would they do? >> Yeah. Well, I will tell you. The first stop is really our website. And that may sound trivial but that is the best place to get started for us. You're going to find there by visiting https://aws.amazon.com. You can register to become an AWS partner very easily. Right there you're going to get step-by-step instructions and learning paths, as well as tutorials and how to get your business up and running, and how to become a partner. And the journey largely looks like this. Right? One. get on board. Get familiar. Establish your relationship and join the Amazon Partner Network. Go through some very basic training and get familiar with their services. Second. Develop those technical and sales skills. Develop a business model where AWS lends the greatest value to your partner business. And as you move through the tiers of maturity, we will co-invest in your business to help you scale. And then three, really go to market. Establish the pathways to your customers. Build out your differentiated approach. Look at the competencies we offer and decide which ones are going to be the most relevant to you. We want you to leverage the funding mechanisms we have, and we want you also to think about how we co-market together. There are so many roads to success and AWS offers lots of different partner programs and opportunities to develop your unique roadmap John. >> Yeah, that's great enablement. That is super valuable. Having the co-funding, the go marketing, and the tools and the programs. All there to enable services to be successful. Rebecca, thanks for sharing that program. >> My pleasure. >> Great to have you on. Rebecca Wetherly, >> Thank you so much. Director of the Worldwide Public Sector System Integrator Partners. A big growing part of the public sector when we need it the most, which is now and it's growing. So check them out. Thanks for watching. This is theCUBE coverage. CUBE virtual, for AWS re:Invent reinvent public sector, special coverage. Thanks for watching. (upbeat music)

>>From around the globe. It's the queue with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS, and our community partners. >>Hello, and welcome back to the cube live coverage of reinvent 2020 virtual. We're not there this year. It's the cube virtual. We are the cube virtual. I'm your host, John fro with Dave Alante and analyzing our take on the partner day. Um, keynotes and leadership sessions today was AWS APN, which is Amazon partner network global partner network day, where all the content being featured today is all about the partners and what Amazon is doing to create an ecosystem, build the ecosystem, nurture the ecosystem and reinvent what it means to be a partner. Dave, thanks for joining me today on the analysis of Amazon's ecosystem and partner network and a great stuff today. Thanks for coming on. >>Yeah, you're welcome. I mean, watch the keynote this morning. I mean, partners are critical to AWS. Look, the fact is that when, when AWS was launched, it was the developers ate it up. You know, if you're a developer, you dive right in infrastructure is code beautiful. You know, if you're mainstream it, this thing's just got more complex with the cloud. And so there's, there's a big gap right between how I, where I am today and where I want to be. And partners are critical to help helping people get there. And we'll talk about the details of specifically what Amazon did, but I mean, especially when John, when you look at things like smaller outposts, you know, going hybrid, Andy Jassy redefining hybrid, you need partners to really help you plan design, implement, manage at scale. >>Yeah. You know, one of the things I'm always, um, you know, saying nice things about Amazon, but one of the things that they're vulnerable on in my opinion is how they balanced their own SAS offerings and with what they develop in the ecosystem. This has been a constant, um, challenge and, and they've balanced it very well. Um, so other vendors, they are very clear. They make their own software, right. And they have a channel and it's kind of the old playbook. Amazon's got to reinvent the playbook here. And I think that's, what's key today on stage Doug Yom. He's the, uh, the leader you had, um, also Dave McCann who heads up marketplace and Sandy Carter who heads up worldwide public sector partners. So Dave interesting combination of three different teams, you had the classic ISV partners in the ecosystem, the cohesiveness of the world, the EMCs and so on, you had the marketplace with Dave McCann. That's where the future of procurement is. That's where people are buying product and you had public sector, huge tsunami of innovation happening because of the pandemic and Sandy is highlighting their partners. So it's partner day it's partner ecosystem, but multiple elements. They're moving marketplace where you buy programs and competencies with public sector and then ISV, all of those three areas are changing. Um, I want to get your take because you've been following ecosystems years and you've been close to the enterprise and how they buy your, >>And I think, I think John, Oh, a couple of things. One is, you know, Dave McCann was talking a lot about how CIO is one of modernize applications and they have to rationalize, and it will save some of that talk for later on, you know, Tim prophet on. But there's no question that Amazon's out to reinvent, as you said, uh, the whole experience from procurement all the way through, and, you know, normally you had to, to acquire services outside of the marketplace. And now what they're doing is bundling the services and software together. You know, it's straightforward services, implementation services, but those are well understood. The processes are known. You can pretty much size them and price them. So I think that's a huge opportunity for partners and customers to reduce friction. I think the other thing I would say is ecosystems are, are critical. >>Uh, one of the themes that we've been talking about in the cube as we've gone from a product centric world in the old days of it to a platform centric world, which has really been the last decade has been about SAS platforms and cloud platforms. And I think ecosystems are going to be a really power, the new innovation in the coming decade. And what I mean by that is look, if you're just building a service and Amazon is going to do that same service, you know, you got to keep innovating. And one of the ways you can innovate is you can build on ecosystems. There's all this data within industries, across industries, and you can through the partner network and through customer networks within industry start building new innovation around ecosystems and partners or that glue, Amazon's not going to go in. And like Jandy Jesse even said in the, uh, in his fireside chat, you know, customers will ask us for our advice and we're happy to give it to them, but frankly partners are better at that nitty gritty hardcore stuff. They have closer relationships with the customers. And so that's a really important gap that Amazon has been closing for the last, you know, frankly 10 years. And I think that to your point, they've still got a long way to go, but that's a huge opportunity in that. >>A good call out on any Jess, I've got to mention that one of the highlights of today's keynote was on a scheduled, um, Andy Jassy fireside chat. Uh, normally Andy does his keynote and then he kind of talks to customers and does his thing normally at a normal re-invent this time he came out on stage. And I think what I found interesting was he was talking about this builder. You always use the word builder customer, um, solutions. And I think one of the things that's interesting about this partner network is, is that I think there's a huge opportunity for companies to be customer centric and build on top of Amazon. And what I mean by that is, is that Amazon is pretty cool with you doing things on top of their platform that does two things serves the customer's needs better than they do, and they can make more money on and other services look at snowflake as an example, um, that's a company built on AWS. I know they've got other clouds going on, but mainly Amazon Zoom's the same way. They're doing a great solution. They've got Redshift, Amazon, Amazon's got Redshift, Dave, but also they're a customer and a partner. So this is the dynamic. If you can be successful on Amazon serving customers better than Amazon does, that's the growth hack. That's the hack on Amazon's partner network. If you could. >>I think, I think Snowflake's a really good example. You snowflake you use new Relic as an example, I've heard Andy Jess in the past use cloud air as an example, I like snowflake better because they're, they're sort of thriving. And so, but, but I will say this there's a, they're a great example of that ecosystem that we just talked about because yes, not only are they building on AWS, they're connecting to other clouds and that is an ecosystem that they're building out. And Amazon's got a lot of snowflake, I guess, unless you're the Redshift team, but, but generally speaking, Snowflake's driving a lot of business for Amazon and Andy Jesse addressed that in that, uh, in that fireside chat, he's asked that question a lot. And he said, look, we, we, we have our primary services. And at the same time we want to enable our partners to be successful. And snowflake is a really good example of that. >>Yeah. I want to call out also, uh, yesterday. Um, I had our Monday, I should say Tuesday, December 1st, uh, Jesse's keynote. I did an interview with Jerry chin with gray lock. He's investing in startups and one of the things he observed and he pointed out Dave, is that with Amazon, if you're, if you're a full all-in in the cloud, you're going to take advantage of things that are just not available on say on premises that is data patterns, other integrations. And I think one of the things that Doug pointed out was with interoperability and integration with say things like the SAS factor that they put out there there's advantages for being in the cloud specifically with Amazon, that you can get on integrations. And I think Dave McCann teases that out with the marketplace when they talk about integrations. But the idea of being in the cloud with all these other partners makes integration and interoperability different and unique and better potentially a differentiator. This is going to become a huge deal. >>I didn't pick up on that because yesterday I thought I wasn't in the keynote. I think it was in the analyst one-on-one with, with Jesse, he talked about, you know, this notion that people, I think he was addressing multi-cloud he didn't use that term, but this notion of an abstraction layer and how it does simplify things in, in his basic, he basically said, look, our philosophy is we want to have, you know, the, the ability to go deep with the primitives and have that fine grain access, because that will give us control. A lot of times when you put in this abstraction layer, which people are trying to do across clouds, you know, it limits your ability to really move fast. And then of course it's big theme is, is this year, at the same time, if you look at a company who was called out today, like, like Octa, you know, when you do an identity management and single sign-on, you're, you're touching a lot of pieces, there's a lot of integration to your point. >>So you need partners to come in and be that glue that does a lot of that heavy lifting that needs to needs to be done. Amazon. What Jessie was essentially saying, I think to the partner network is, look, we're not going to put in that abstraction layer. You're going to you, you got to do that. We're going to do stuff maybe between our own own services like they did with the, you know, the glue between databases, but generally speaking, that's a giant white space for partner organizations. He mentioned Okta. He been talked about in for apt Aptio. This was Dave McCann, actually Cohesity came up a confluent doing fully managed Kafka. So that to me was a signal to the partners. Look, here's where you guys should be playing. This is what customers need. And this is where we're not going to, you know, eat your lunch. >>Yeah. And the other thing McCann pointed out was 200 new Dave McCann pointed out who leads these leader of the, of the marketplace. He pointed out 200 new ISP. ISV is out there, huge news, and they're going to turn already. He went, he talked with his manage entitlements, which got my attention. And this is kind of an, um, kind of one of those advantage points that it's kind of not sexy and mainstream to talk about, but it's really one of those details. That's the heavy lifting. That's a pain in the butt to deal with licensing and tracking all this compliance stuff that goes on under the covers and distribution of software. I think that's where the cloud could be really advantaged. And also the app service catalog registry that he talked about and the professional services. So these are areas that Amazon is going to kind of create automation around. >>And as Jassy always talks about that undifferentiated heavy lifting, they're going to take care of some of these plumbing issues. And I think you're right about this differentiation because if I'm a partner and I could build on top of Amazon and have my own cloud, I mean, let's face it. Snowflake is a born in the cloud, in the cloud only solution on Amazon. So they're essentially Amazon's cloud. So I think the thing that's not being talked about this year, that is probably my come up in future reinvents is that whoever can build their own cloud on top of Amazon's cloud will be a winner. And I, I talked about this years ago, data around this tier two, I call it tier two clouds. This new layer of cloud service provider is going to be kind of the, on the power law, the, the second wave of cloud. >>In other words, you're on top of Amazon differentiating with a modern application at scale inside the cloud with all the other people in there, a whole new ecosystem is going to emerge. And to me, I think this is something that is not yet baked out, but if I was a partner, I would be out there planning like hell right now to say, I'm going to build a cloud business on Amazon. I'm going to take advantage of the relationships and the heavy lifting and compete and win that way. I think that's a re redefining moment. And I think whoever does that will win >>And a big theme around reinventing everything, reinvent the industry. And one of the areas that's being reinvented as is the, you know, the VAR channel really well, consultancies, you know, smaller size for years, these companies made a ton of dough selling boxes, right? All the, all the Dell and the IBM and the EMC resellers, you know, they get big boats and big houses, but that business changed dramatically. They had to shift toward value, value, value add. So what did they do? They became VMware specialists. They came became SAP specialists. There's a couple of examples, maybe, you know, adding into security. The cloud was freaking them out, but the cloud is really an opportunity for them. And I'll give you an example. We've talked a lot about snowflake. The other is AWS glue elastic views. That's what the AWS announced to connect all their databases together. Think about a consultancy that is able to come in and totally rearchitect your big data life cycle and pipeline with the people, the processes, the skillsets, you know, Amazon's not going to do that work, but the upside value for the organizations is tremendous. So you're seeing consultancies becoming managed service providers and adding all kinds of value throughout the stack. That's really reinvention of the partnership. >>Yeah. I think it's a complete, um, channel strategy. That's different. It doesn't, it looks like other channels, but it's not, it's, it's, it's driven by value. And I think this idea of competing on value versus just being kind of a commodity play is shifting. I think the ISV and the VARs, those traditional markets, David, as you pointed out, are going to definitely go value oriented. And you can just own a specialty area because as data comes in and when, and this is interesting. And one of the key things that Andy Jassy said in his fireside chat want to ask directly, how do partners benefit when asked about his keynote, how that would translate to partners. He really kind of went in and he was kind of rambling, but he, he, he hit the chips. He said, well, we've got our own chips, which means compute. Then he went into purpose-built data store and data Lake data, elastic views SageMaker Q and QuickSight. He kind of went down the road of, we have the horsepower, we have the data Lake data, data, data. So he was kind of hinting at innovate on the data and you'll do okay. >>Well, and this is again, we kind of, I'm like a snowflake fan boy, you know, in the way you, you like AWS. But look, if you look at AWS glue elastic views, that to me is like snowflakes data cloud is different, a lot of pushing and moving a date, a lot of copying data. But, but this is a great example of where like, remember last year at reinvent, they said, Hey, we're separating compute from storage. Well, you know, of course, snowflake popularized that. So this is great example of two companies thriving that are both competitors and partners. >>Well, I've got to ask you, you know, you, you and I always say we kind of his stories, we've been around the block on the enterprise for years. Um, where do you Mark the, um, evolution of their partner? Because again, Amazon has been so explosive in their growth. The numbers have been off the charts and they've done it well with and pass. And now you have the pandemic which kind of puts on full display, digital transformation. And then Jassy telegraphing that the digital global it spend is their next kind of conquering ground, um, to take, and they got the edge exploding with 5g. So you have this kind of range and they doing all kinds of stuff with IOT, and they're doing stuff in you on earth and in space. So you have this huge growth and they still don't have their own fully oriented business model. They rely on people to build on top of Amazon. So how do you see that evolving in your opinion? Because they're trying to add their own Amazon only, we've got Redshift that competes with others. How do you see that playing out? >>So I think it's going to be specialized and, and something that, uh, that I've talked about is Amazon, you know, AWS in the old day, old days being last decade, they really weren't that solution focused. It was really, you know, serving the builders with tooling, with you, look at something like what they're doing in the call center and what they're doing at the edge and IOT there. I think they're, so I think their move up the stack is going to be very solution oriented, but not necessarily, you know, horizontal going after CRM or going after, you know, uh, supply chain management or ERP. I don't think that's going to be their play. I think their play is going to be to really focus on hard problems that they can automate through their tooling and bring special advantage. And that's what they'll SAS. And at the same time, they'll obviously allow SAS players. >>It's just reminds me of the early days when you and I first met, uh, VMware. Everybody had to work with VMware because they had a such big ecosystem. Well, the SAS players will run on top. Like Workday does like Salesforce does Infour et cetera. And then I think you and I, and Jerry Chen talked about this years ago, I think they're going to give tools to builders, to disrupt the service now is in the sales forces who are out buying companies like crazy to try to get a, you know, half, half a billion dollar, half a trillion dollar market caps. And that is a really interesting dynamic. And I think right now, they're, they're not even having to walk a fine line. I think the lines are reasonably clear. We're going up to database, we're going to do specialized solutions. We're going to enable SAS. We're going to compete where we compete, come on, partner ecosystem. And >>Yeah, I, I, I think that, you know, the Slack being bought by Salesforce is just going to be one of those. I think it's a web van moment, you know, um, you know, where it's like, okay, Slack is going to go die on Salesforce. Okay. I get that. Um, but it's, it's just, it's just, it's just, it's just old school thinking. And I think if you're an entrepreneur and if you're a developer or a partner, you could really reinvent the business model because if you're, dis-aggregating all these other services like you can compete with Salesforce, Slack has now taken out of the game with Salesforce, but what Amazon is doing with say connect, which they're promoting heavily at this conference. I mean, you hear it, you heard it on Andy Jessie's keynote, Sandy Carter. They've had huge success with AWS connect. It's a call center mindset, but it's not calling just on phones. >>It's contact that is descent, intermediating, the Salesforce model. And I think when you start getting into specialists and specialism in channels, you have customer opportunity to be valuable. And I think call center, these kinds of stories that you can stand up pretty quickly and then integrate into a business model is going to be game changing. And I think that's going to going to a lot of threat on these big incumbents, like Salesforce, like Slack, because let's face it. Bots is just the chat bot is just a call center front end. You can innovate on the audio, the transcriptions there's so much Amazon goodness there, that connect. Isn't just a call center that could level the playing field and every vertical >>Well, and SAS is getting disrupted, you know, to your, to your point. I mean, you think about what happened with, with Oracle and SAP. You had, you know, these new emerging players come up like, like Salesforce, like Workday, like service now, but their pricing model, it was all the same. We lock you in for a one-year two-year three-year term. A lot of times you have to pay up front. Now you look at guys like Datadog. Uh, you, you look at a snowflake, you look at elastic, they're disrupting the Splunks of the world. And that model, I think that SAS model is right for disruption with a consumption pricing, a true cloud pricing model. You combine that with new innovation that developers are going to attack. I mean, you know, people right now, they complain about service now pricing, they complain about Splunk pricing. They, you know, they talk about, Oh, elastic. We can get that for half the price Datadog. And so I'm not predicting that those companies service now Workday, the great companies, but they are going to have to respond much in the same way that Oracle and SAP had to respond to the disruption that they saw. >>Yeah. It's interesting. During the keynote, they'll talk about going out to the mainframes today, too. So you have Amazon going into Oracle and Microsoft, and now the mainframes. So you have Oracle database and SQL server and windows server all going to being old school technologies. And now mainframe very interesting. And I think the, this whole idea of this SAS factory, um, got my attention to Cohesity, which we've been covering Dave on the storage front, uh, Mo with the founder was on stage. I'm a data management as a service they're part of this new SAS factory thing that Amazon has. And what they talk about here is they're trying to turn ISV and VARs into full-on SAS providers. And I think if they get that right with the SAS factory, um, then that's going to be potentially game changing. And I'm gonna look at to see if what the successes are there, because if Amazon can create more SAS applications, then their Tam and the global it market is there is going to, it can be mopped up pretty quickly, but they got to enable it. They got to enable that quickly. Yeah. >>Enabling to me means not just, and I think, you know, when Jesse answered your question, I saw it in the article that you wrote about, you know, you asked them about multi-cloud and it, to me, it's not about running on AWS and being compatible with Azure and being compatible with Google. No, it's about that frankly abstraction layer that he talked about, and that's what Cohesity is trying to do. You see others trying to do it as well? Snowflake for sure. It's about abstracting that complexity away and adding value on top of the cloud. In other words, you're using the cloud for scale being really expert at taking advantage of the native cloud services, which requires is that Jessie was saying different API APIs, different control, plane, different data plane, but taking that complexity away and then adding new value on top that's white space for a lot of players there. And, and, and I'll tell you, it's not trivial. It takes a lot of R and D and it takes really smart people. And that's, what's going to be really interesting to see, shake out is, you know, can the Dell and HPE, can they go fast enough to compete with the, the Cohesity's you've got guys like CLU Mayo coming in that are, that are brand new. Obviously we talked about snowflake a lot and many others. >>I think there's going to be a huge change in expectations, experience, huge opportunity for people to come in with unique solutions. We're going to have specialty programming on the cube all day today. So if you're watching us here on the Amazon channel, you know that we're going to have an all of a sudden demand. There's a little link on our page. On the, on the, um, the Amazon reinvent virtual event platform, click here, the bottom, it's going to be a landing page, check out all the interviews as we roll them out all day. We got a great lineup, Dave, we got Nutanix pure storage, big ID, BMC, Amazon leaders, all coming in to talk today. Uh, chaos search ed Walsh, Rachel Rose, uh, Medicar Kumar, um, Mike Gill, flux, tons of great, great, uh, partners coming in and they're going to share their story and what's working for them and their new strategies. And all throughout the day, you're going to hear specific examples of how people are changing and reinventing their business development, their partnership strategies on the product, and go to market with Amazon. So really interesting learnings. We're going to have great conversations all throughout the day. So check it out. And again, everything's going to be on demand. And when in doubt, go to the cube.net, we have everything there and Silicon angle.com, uh, for all the great coverage. So >>I don't think John is, we're going to have a conversation with him. David McCann touched on this. You talked about the need for modernization and rationalization, Tim Crawford on, on later. And th this is, this is sort of the, the, uh, the call-out that Andy Jassy made in his keynote. He gave the story of that one. CIO is a good friend of his who said, Hey, I love what you're doing, but it's not going to happen on my watch. And, and so, you know, Jessie's sort of poking at that, that, uh, complacency saying, guys, you have to reinvent, you have to go fast, you have to keep moving. And so we're gonna talk a little bit about what, what does that mean to modernize applications, why the CIO is want to rationalize what is the role of AWS and its ecosystem and providing that, that, that level of innovation, and really try to understand what the next five to seven years are gonna look like in that regard. >>Funny, you mentioned, uh, Andy Jesuit that story. When I had my one-on-one conversation with them, uh, he was kind of talking about that anonymous CIO and I, if people don't know Andy, he's a big movie buff, too, right? He loves it goes to Sundance every year. Um, so I said to him, I said, this error of digital transformation, uh, is kind of like that scene in the godfather, Dave, where, um, Michael Corleone goes to Tom Hagen, Tom, you're not a wartime conciliary. And what he meant by that was is that, you know, they were going to war with the other five families. I think now I think this is what chassis pointed out is that, that this is such an interesting, important time in history. And he pointed this out. If you don't have the leadership chops to lean into this, you're going to get swept away. >>And that story about the CIO being complacent. Yeah. He didn't want to shift. And the new guy came in or gal and they, and they, and they lost three years, three years of innovation. And the time loss, you can't get that back. And during this time, I think you have to have the stomach for the digital transformation. You have to have the fortitude to go forward and face the truth. And the truth is you got to learn new stuff. So the old way of doing things, and he pointed that out very aggressively. And I think for the partners, that same thing is true. You got to look in the mirror and say, where are we? What's the opportunity. And you gotta gotta go there. If not, you can wait, be swept away, be driftwood as Pat Gelsinger would say, or lean in and pick up a, pick up a shovel and start digging the new solution. >>You know what the other interesting thing, I mean, every year when you listen to Jassy and his keynotes and you sort of experienced re-invent culture comes through and John you're live in Silicon Valley, you talked to leaders of Silicon Valley, you know, well, what's the secret of success though? Nine times out of 10, they'll talk about culture, maybe 10 times out of 10. And, and, and so that's, that comes through in Jesse's keynotes. But one of the things that was interesting this year, and it's been thematic, you know, Andy, you know, repetition is important, uh, to, to him because he wants to educate people and make sure it sticks. One of the things that's really been he's been focused on is you actually can change your culture. And there's a lot of inertia. People say, well, not on my watch. Well, it doesn't work that way around here. >>And then he'll share stories about how AWS encourages people to write papers. Anybody in the organization say we should do it differently. And, and you know, they have to follow their protocol and work backwards and all of those stuff. But I believe him when he says that they're open to what you have a great example today. He said, look, if somebody says, well, it's 10 feet and somebody else says, well, it's, it's five feet. He said, okay, let's compromise and say it's seven and a half feet. Well, we know it's not seven and a half feet. We don't want to compromise. We either want to be a 10, Oh, we want to be at five, which is the right answer. And they push that. And that that's, he gives examples like that for the AWS culture, the working backwards, the frequently asked questions, documents, and he's always pushing. And that to me is very, very important and fundamental to understanding AWS. >>It's no doubt that Andy Jassy is the best CEO in the business. These days. If you look at him compared to everyone else, he's hands down, more humble as keynote who does three hour keynotes, the way he does with no notes with no, he memorize it all. So he's competitive and he's open. And he's a good leader. I think he's a great CEO. And I think it will be written and then looked back at his story this time in history. The next, I think post COVID Dave is going to be an error. We're going to look back and say the digital transformation was accelerated. Yes, all that good stuff, people process technology. But I think we're gonna look at this time, this year and saying, this was the year that there was before COVID and after COVID and the people who change and modernize will build the winners and not, and the losers will, will be sitting still. So I think it's important. I think that was a great message by him. So great stuff. All right. We gotta leave it there. Dave, the analysis we're going to be back within the power panel. Two sessions from now, stay with us. We've got another great guest coming on next. And then we have a pair of lb talk about the marketplace pricing and how enterprises have CIO is going to be consuming the cloud in their ecosystem. This is the cube. Thanks for watching..

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by A. W s Global Partner Network. Hello. And welcome back to the cubes Live coverage of AWS reinvent 2020. It's virtual this year. Normally, were there in person doing the interviews, getting the signal from the noise. I'm John for your host. And where the cube virtual Got a great guest here. Aidan McDonald, Program manager, Justice through code the center of justice at the Columbia University. Um, this is a great story, Aiden. Thanks for coming on. Appreciate you taking the time to join me. >>Thanks so much for having me, John. >>So first of all talk about the mission of justice through code. This is such an awesome program. It really is impactful. It's one of those examples where, you know, people want to change the world. This is one. You can actually do it. And with code, take us through the mission. >>Yeah, So I think to understand the mission here, you have to understand a little bit about the problem, right? So the United States has, uh, 5% of the world's population, 25% of the global prison population. When people come home from prison, they're confronted with the reality that it's just very difficult to find jobs right. We have unemployment rates that are stratospherically higher than for the general population. And so, at the core of what we're doing in our mission is really to provide a pathway to career track employment for formerly incarcerated individuals to help support them and their families, and also to begin to change the negative stereotypes that air attached to the formerly incarcerated. >>It's an upwardly mobile mindset growth mindset. Also, there's new skills, always hard to do that, given the environmental conditions, what skills are you guys delivering? Take us through how it works. Give us a feel for kind of the skill sets and what gets what happens. >>Yeah, so we focused the program kind of in two distinct ways. So we have the technical skills aspect of the curriculum and the interpersonal skills. So as far as the technical skills go, we teach a version of a course that's taught to current Columbia MBA students eso that is set up. We teach the fundamentals of programming python, what we call phase one of the program. Then we move on to a P I S and data analysis. And then from there we do a Capstone software project. And for that project, groups of two or more students come together. Really? They conceptualize the design on day execute on building this project. And during that phase, of course, we actually pair students with mentors who are season software engineers from many of the top tech companies in the US and then in terms of the story in terms of the interpersonal skills, um, you know, we really focus on the skills that are necessary to success in the tech workforce s Oh, this is, you know, resumes, cover letters, interviewing skills and also really understanding that for many of our students, they don't have the networks that so maney people are fortunate enough to have that have gone through a traditional educational pathways. We bring in guest speakers from different corporations. Um, and, you know, having the students were quick mentors there really able to start to build that network to support themselves in their career transition when they complete the program. >>You know what's really amazing about what you're doing is and this really is so timing. The timing is perfect. Um, is that with the cloud and the tech scene, where we're at now is you don't you can come out. You can level up pretty quickly with things. In other words, you know, you could have someone go to an Ivy League school and be all the pedigree, and it doesn't matter because the skills now are different. You literally could be a surfing and be a couch potato surfing TV and get online and get an Amazon degree and through educate and and come out, make six figures. I mean, so there is definitely a path here. It's not like it's a slog. It's not like it's a huge leap, so the timing is perfect. We're seeing that across the board. There's more empty jobs, opening cybersecurity, cloud computing administration and with land in all these cool services, it's just gonna get easier. We hear that we see that clearly. What are some of the examples can you share of the graduates? What have they gone on to do? You mentioned some of the big tech companies. Take us through that that tipping point when the success kicks in. >>What s so you know, as I mentioned, one of the really integral parts of our program is this mentorship, right? So students finished the program. They often continue to work on their final projects, um, in conjunction with their mentors and then really focused during that time period on developing the skill sets that they'll need to have entering into junior level software development roles a tech companies For some of our students, this means, um, they've actually found out through the course of the class that they prefer front end web development, and they start working on JavaScript and full stack. And a few of our students have gone on to work it a or enter into apprenticeships that major tech companies, um, in those roles. And then we also have students who are focused on continuing in their development of their technical skill set with Python s. So we have some students who have actually entered into the Columbia University I t department on a big project. They're working on other students that have worked with freelance Web development agencies and projects really have a very diverse, talented group of students. And so from that we see that Everybody has different interests and definitely no one specific pathway but many successful pathways. >>How is Amazon Web services helping you guys? They contributing? They're giving you credits. What's their role here? >>Yeah, so they've provided kind of their expertise and support to the program. Just really excited to be collaborating with them on really looking at, How do we take this program to scale? Right. So we know that this is a problem that affect so many Americans, right? There's 77 million Americans currently with a criminal record. And so, um, you know, with the barriers to employment that come from having been incarcerated, I came to this work because I spent four years incarcerated for my own involvement in the marijuana industry in California Prior toe legalization. And so, you know, I saw a kind of these challenges, right? Firsthand of what it's like to try to get a job. And so, you know, we're just very invested in collaborating with AWS again. Thio bring this program to scale so we can really help uplift the communities that have been impacted by mass incarceration. >>It's interesting you talk about your personal experience, talk about this stigma that comes with that and how this breaks through that stigma. And this is really not only is a self esteem issues up this Israel, you could make more money. You have a career and literally the difference between going down or up is huge. Talk about the stigma and how this program changes the lives of the individual. >>Yeah, I think one important thing Thio consider hearing before understanding is this statement right? Is that unemployment or employment should say is the number one predictor of recidivism. Right? So we see that for people that have really jobs, they don't go back to prison on DSO. You know, we're just so invested in working on that and in terms of the stigma, uh, you know, it's just so prevalent, right? I can think through myself. Before I had going thio to prison, I had started to businesses. I was actually accepted. Thio go to Columbia University when I got out and I would apply the landscaping jobs, couldn't get to the final round, and the job offer would be rescinded, right? I mean, just this automatic sense of this person is not to be trusted because they have a history of incarceration. And so what we're really working on doing with our students is first redefining what people think it's possible, right? I saw this myself coming home from prison. The constant messaging is your life is over. You're never going to accomplish anything of meaning and so just kind of accept your lot on DSO. At first, we really focus on that with students in terms of sharing stories of success. Other people that we know that have taken this pathway on been really looking at providing leadership development. So when our students do enter into these companies, they're really able to service leaders and for people to understand that while you may have these assumptions because of depictions of people that have been incarcerated in the media, the end of they formerly incarcerated people, our brothers, sisters, family members and really deserve a chance in life. >>Yeah, And I got to say, you know, as someone who loves technology and been, uh, computer science when his early days, you know, there was a ladder, you have to have a requisite level now. I mean, you literally could be six weeks in and be fluent on Cloud Computing Administration as three bucket configurations. I mean, there are so many things that so many opportunities if you have some intelligence and some drive you're in, I mean, it's just Z pretty right? It's right there. It's great. It's attainable. It's not a fantasy, it's it's doable. And programs like yours are awesome. My hat's off to you for doing that. Thanks for sharing. >>Definitely. Thank you so much for having me >>final question before we go, How does people get involved? Can you share a minute? Give a plug for what you guys are doing? How do I get involved? How do I give support? Take a minute to >>get? Definitely. I mean, I think at the core like the most important thing that anybody can dio right is to look within the organizations that they work and work at and find out what your fair chance hiring practices are and see if if there's an opportunity to hire our students or other formerly incarcerated students. E think it also were very engaged, as I mentioned in our mentorship program s so people can confined US center for Justice that, uh, Colombia dot e d u on board, you know reach out, tow us about the mentorship program and really begin toe talk about this and share the stories of those who have succeeded and provide support Thio other people that will be returning home. >>All right. And thank you very much. Just a fur coat. Check it out. Columbia University 18 McDonald, Program manager. Thanks for joining us. I'm John for here in the Cube Cube Coverage Cube. Virtual coverage of reinvent 2020. Thanks for watching.

>>from >>around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by A. W s Global Partner Network. >>Okay, welcome back to the Cube. Virtual coverage of AWS reinvent 2020. I'm John for your host of the Cube. Virtual were not there in person. We're doing remote interviews, bringing that content to you virtually obviously with the virtual vent over three weeks, Walter Wall coverage Got a great guest here. Norman Quijano, Chief market officer for Acoustic. Normally great to have you on the Cube. Great story. Want to get into independent marketing? Cloud all that good stuff? Thanks for joining me. >>It's a pleasure to be here, John. I'm excited to chat with you, and it's exciting during reinvent. >>Yeah, a lot of great stuff. I mean, just every year I just get kind of nerdy, and I nerd out on all the massive new stuff and some of its kind of, you know, futuristic, you know, not yet available, but most is. But let's get into what you guys do. So first tell me the story about Acoustic and you guys were originally part of IBM spun out, and now independent. Take us through what happened. >>Yeah, sure, it's It's actually a super fascinating story overall, because in short, Acoustic was created last year, July 2019, as a carve out from IBM. The interesting history is that over the course of about a decade, IBM said, this marketing technology space is pretty interesting. So it went and acquired a number of companies across multiple years. Hold it all together in what it called IBM Watson marketing ultimately and said, We're in the marketing technology space, unfortunately. Turns out that's probably not, ah, core business for IBM. So Ah, few years ago, someone said, Maybe we're not in this space. Let's see if we can put this car of this out. And so we were born last July were private equity owned and from, ah, great history became a great new beginning. >>Awesome. So talk about the value proposition. You guys living here says you guys were the independent marketing cloud. Does that mean independent in the sense of you don't take a position on certain technologies or independent as a company? Just what does that mean? >>Why independent used to be a simple word, but it doesn't have so It's not so simple anymore, now, is it? You know what we mean by that is very straightforward. One. We are private, and we are focused on marketing and marketers, and we are not beholden to other parts of the business that may be trying to serve back, office or finance or other elements in a business. And what we think that the marketer today which, as you know, marketers usually have the or one of the biggest I T budgets in a company. We think they need providers that are focused on their needs and their needs only. >>Yeah, it's interesting. The Martek stack and I just had a conversation with the venture capitalists live on the kickoff of the program for the show Review it this pre cloud There's cloud transition Now. You got all in cloud benefits of being cloud native, right? So you kind of 2021. I think we're in this post covert era. You got to see a whole new set of advantages. Yeah, they'll still be hybrid. They'll still be on premise. But if you look at the all the Martek marketing technology stuff, it's just so much stuff and salesforce just bought slack. You have Microsoft tea and the big guys, all these things, and you only have a departments don't have a lot of staff. It's not >>like eso. You need >>technology to try. Great do the heavy lifting. This is a big theme of of the Amazon reinvent culture. Using tech creates the customer value, reduced the heavy lifting. How are you guys doing that? How do you serve customers >>in that competitive landscape? It's a well set up job, because the reality is that we have a lot. There's a lot of companies in the marketing technology space you can look at charts online there, 8000 companies evidently on. But the reality is that very few of those companies are trying to provide big sort of end to end solutions the way that we are and some of our large competitors are. But they're all at different stages of the revolution in the cloud, because most of the bigger companies in this space got their Martek capabilities through acquisition, and they may have sort of carry forward a pre cloud, uh, technology stack with them. What we're trying to do is really two things. One We moved our technology to the cloud. In particular. Over 90% of our workload is on AWS now. And we're trying to find the integration points with our customers with their equally moving to public cloud like AWS, and give them the capability of being able to bring up capabilities quickly, particularly in something like email Be able to scale. Right? We're in the middle of the holiday season is the busiest time of the year for businesses to send email, and we wanna make sure that our customers can scale up. We want them to have that capability, and we wanna be able to take advantage of that so we don't have toe over invest in back end technology. We want marketers to feel as empowered as the CEO who's here. So I'm all in on the cloud. Well, what about the marketers? They're the ones who should be using that, and and I think something like a w s and continue to grow. And me and the capabilities that every part are they AWS will continue to provide value to the marketers to the customer experience team as well as to the I T team. >>How are you guys using data and AI because obviously you seeing that huge part of every single product. It's one of those things that you see on and we've been saying for years now it's kind of mainstream, the benefit of clouds. You get horizontal scalability of infrastructure. Now you got lamb Daniel containers and then you got data you can get vertically specialized within the app. So if you do the micro services or deconstruct the monolith, you could really provide point value and still get that data scale. So this opens up massive data intelligence opportunities, which every marketer wants to be data driven. S O R O r. Use the data to make a great user experience or customer experience. How do you guys see that? And Acoustic. And what do you guys doing in the clouds around that you >>share? Well, first of all, somehow you got ahold of our are confidential roadmap because you just laid it out right there. And what you said, it's not so confidential. But the reality is it's market >>leading for sure. I mean, I think you can. That's the Holy Grail. I mean, >>it's where everyone wants to be, and we had at Acoustic have a very specific philosophy is that we want to. We want to embrace data, and we mean, of course, on behalf of our customers. And we want to bring data to empower every every application in every part of the marketers business. And for better or worse, there's some marketing technology sort of have a little bit of, ah, little hands off with data, particularly if it's not their own data. We believe that whether it's first party, second party, third party data it needs to be brought into the marketing life cycle, and we are building or have built capabilities to do that. We believe in being open, believe in being ableto bring in all sorts of different data types, and then use that to build the best marketing campaigns and experiences for our customers and for their customer. And if you're not embracing all the types of data out there in creating a unique formula for each particular customer, you're not gonna deliver the best marketing experience. Yeah, >>I totally agree. And I think one of these things where modern applications there's two themes here. Modern applications and then completely programmable infrastructure for Amazon and this again. I've been covering cloud for many, many years since the beginning of cloud, and I've looked at all the big three. And I see Amazon's been clearly winning on the infrastructure of the service platform as a service. They Yeah, they have sass apps out there, but they have an ecosystem. Microsoft has their own strategy. Google the other you picked Amazon is a preferred partner. Could you share? Um, Why? Why Amazon And what specifically does that enable you to dio a za company? Because, um, yeah, Amazon's huge and some people get nervous like Okay, I'm just gonna be Oh, you're gonna eat me up and you're in a marketing focus, not a not a court. I don't have a core building block out there called Marketing Cloud like Oracle does or one of the company's. Why Amazon. >>Yeah, I think that you really sort of laid the landscape out well, and Amazon is very much a a full stack. And and there's so much maturity in AWS overall, which you don't necessarily see the sort of top to bottom maturity that you see in the other of the clouds and Amazon and all clouds right we we all want to be able to tap into micro services. So when we were trying to figure out what gave us the scalability that we needed, we were really focused on the ability to integrate at multiple touch points. Three. Ability to scale up really fast because, like during the holiday season were transacting billions of transactions. Whether it be emails that our customers are sending or SMS messages that they're sending so billions of transactions over a fixed period of time, we need to be able to scale quickly at an affordable price on We also believe that actually, a lot of marketing departments are going to start to realize the value of plugging into the service is available in a public cloud, particularly is they see things such as taking data from 33rd parties, right? How did they get that into the system or taking their marketing stacks and ultimately may potentially putting those stacks in containers, right. How do you move that into a container and be able to quickly connect other micro services to that container? So we think that this is the absolute future of where the marketing department is gonna end up. And we think Amazon and AWS could be a great partner because it gives you that global footprint gives you that ability to scale and gives you the richest set of services available right now. That was a really easy decision for us. >>Awesome stuff. Thanks for coming on. Normal. Really appreciate you laying out your vision of the cloud. Take a minute real quick. We got a couple minute left, put the plug out for Acoustic. What do you guys looking to do? What's the value proposition? Give a plug for the company. >>Yeah, we we left talking about Acoustic, and you can certainly visit us it Acoustic dot com Acoustic is a full service marketing platform. We are modern, we are cloud based, and one of the things that we do is we specialize and focus on marketing and the marketing function. And if anybody out there is interested in finding out more, you can not only come to Acoustic dot com. You can ping me because we believe that marketers are key decision makers and myself is our CMO wants to talk to every potential client. >>No one. Thanks for coming on. The Moncada you Chief market officer Acoustic here, featured on the Cube. But Adam's reinvent Thanks for coming on. Thanks. It >>was a pleasure, John. >>Thank you. I'm John Fair hosted the Cube. More coverage after this short break. Stay with us. Form or cube. Live coverage. Yeah.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020 Special coverage sponsored by AWS Global Partner Network. Right. Welcome back to the cubes. Live coverage of AWS reinvent 2020 were virtual this year. We're not in person. We have to do it remote but the Cuba's virtual And I'm John for your host here with Cube Virtual next guest, Sarah Cooper, who is the general manager of the i o T Solutions with a W s. Sarah. Great to see you. Eso you last year in person. In real life, now we're remote. But thanks for coming on. Thank you. >>Thanks, John. Always good to be on the Cube and great to see you again. I don't know how many years it's been from our initial meeting, but it's been a few. >>Well, we gotta we gotta cube search engine. You were on in 2016, but we saw each other last year on when we're riffing on the i o t. News. A lot of great stuff. I mean, from Speed Racer all the way down through all the industrial stuff. Even more this year. But two things that jumped out at me this year. War is the carrier keynote and also the BlackBerry kind of automotive thing again speaks to kind of two megatrends. Obviously, automotive will get to a second, but the carrier announcement was really interesting. You guys did this thing and I was so impressed with the cold chain, uh, product. It was the connected cold chain. It was called, Um, this is where the carrier, which is known for air conditioning This is critical I o t devices that stays with the vaccines involved. Take a minute to explain what the cold chain connected cold chain project waas. >>Yeah, absolutely. So. So we worked closely and are working closely with Carrier on on a product called Links Now Cold chain. Um, as Dave Gitlin, the CEO of Carrier, described in Andy's keynote eyes about moving perishable goods, things that need certain temperature ranges from point A to point B and that usually it sounds simple. Uh, that's not quite so simple. It's usually you know, least you know, 5 to 25 hops, sometimes as much as 40. Andi zehr these air partial goods This is food. This is medicines. This is vaccines. Very hot topic at the moment. And today you know you're moving between ships and those big tractor trailers, and you've got warehouses with refrigeration units and you've got retail grocery stores with refrigeration units thes air, all different data sources that are owned by different. You know, members of that supply chain that value chain and to end. And so what links does is it pulls the data from all of the curier equipment and then pulls that data and looks across all of this information, using things like machine learning to draw inference and relationship and then be allows us to be able to make smart recommendations on things like routes. Or, if you know, a particular produce might need to stop before its original event to make sure it's got long shelf life. It allows us basically to provide that transparency and toe end, which is so difficult because of the number of players. And it's in part due to curious breath of products. And then, you know, with AWS, we're bringing the digital technology side. We got the i o t. The M l. A lot of big data processing pieces, eh? So we're really excited about that. I have to say It's one of the easiest projects to hire for when you talk about making sure that we're able to reduce food waste from the current 30 to 40% or that we're working on making sure that vaccines are efficacious by the time that they get a vaccination site, engineers sign up pretty quickly. >>You know the cliche. You know, mission driven companies. They're always kind of like people love the work for mission driven companies. In this case, you have a project and group that literally is changing the world. If you think about just the life savings on the on the on the vaccine side, that's obvious. We all can relate to that now with covert on full display. But just in terms of energy consumption, on food, ways to perishables if you get the costs involved to society, hunger around the world. Uh, just >>food is >>just wasted, and there are people starving, right? So when you start looking at this as an instrumentation problem, right, it gets really interesting. So you mentioned supply chain value chain. This is I o t potentially, even Blockchain again. This is a key change. The world area. You guys have a multi year deal with Carrier, So validation. What does that mean? Specifically, you guys gonna provide cloud services? Um, what's that all mean? >>Yeah. So we were bringing our engineering talent as this carrier. This is a code development, so we're actually jointly developing together. They bring a lot of the domain expertise they bring, you know, years and years of experience in refrigeration, Um, and in, you know, track and trace of these products. And we bring engineers who have vast experience at scale in these kinds of inference, challenges and and data management and data quality. And so it's really kind of bringing the best of both worlds. And you see this happening more and more. I think in general, where you've got a company like AWS that has strong digital expertise and a history of product innovation, working with customers that are very innovative themselves, but typically have been innovative in in, you know, traditional hardware products and the two worlds coming together to make sure that we can really solve some of the big challenges that are facing our society today. And, um, again, you know, it's great to wake up in the morning and get to work on a project that has that kind of impact. >>Well, before we move on to the whole BlackBerry automotive thing, which is another whole fascinating thing share something that people might not know about this carrier project. That's important. Um, whether it's something anecdotal, something that you know, Um, that's important. What, what what's what's What else is there that's game changing that you think is important to point out? >>Yeah, you know, I don't know that when we first started working with Carrier on on scoping this project that I had really thought through all the different players that are touched by cold chain. Um, certainly we've got a number of them within Amazon with our our fulfillment technologies and our grocery stores. That that's logical. Um, you think about the shippers and people who are out, you know, um, farming. And you know, I mean, crabmeat is something that moves in these big refrigerated containers, but actually there's there are transportation companies. There's drivers of these big rigs that need to make sure that they're being that they have fuel consumption management. You've got customers, you know, really kind of throughout that piece, freight forwarders. And so really the breath of the people that are touched, not just you and I is consumers of of perishable goods and fruits and produce on DNA medicines, but also really, that full end to end ecosystem on that's That's both the exciting part from A from a business standpoint, but also the exciting part from the technology stand. >>Well, it's great work, and I applaud you for it's one of those things where foodways isn't just a supply chain impacts the rest of the world because you're more efficient. You could distribute food, toe other places where people are hungry and just its overall impact is huge trickle effect. So impact is huge. Okay, now let's talk about the automotive peace. Because last year we had on the Cube folks from BlackBerry and remember them came on like BlackBerry. Isn't that the phone that went extinct by the iPhone? No, no. There's a whole nother io ti automotive thing around. Ivy Ivy? Why intelligent vehicle data platform? You guys just announced a multiyear agreement with them to develop that product combined with some of the I O. T and machine learning. Could you take him in to explain what this relationship is. What does it mean? What does it mean for the industry? >>Yeah, it's It's similar to the carrier relationship. You know we are. We're engineering together. Um, in this instance Q and X, which is a division of BlackBerry, is in 175 million vehicles. I mean, just think about that. They're running under the covers, and they are. They are a safety security layer and a real time operating system. So you know, when you think about all of the products, really end end in Q and X isn't just in automotives. It's in nuclear power plants. It's in manufacturing automation. It's one of those products that that you probably benefit from, but you didn't know it. Um, and in the automotive space, it's the piece that manages the safety certified layers of data coming off of sensors in the car. And so, fundamentally, what we're doing with Ivy is we're up leveling that information today. If you think about a car, you've got 1500 suppliers that are all providing parts into that far, which means that different makes and models have different seats. Sensors to give you wait in the back, you know, seat as an example. And so if do you want to write an application that tries to determine if that weight in the back seat is your dog or not, my dog happens to be bothering me at the moment. Z. >>That's one of the benefits of working at home. You know? >>Absolutely. So we'll use him as an excuse here. But if you want to know if that's a dog on the back seat, um, being able Thio, then figure out the PC electric measurements and the algorithms, um means you have to know what sensors air in that back seat, which means you got to write essentially an application Pir sensor manufacturer for vehicle make and model That doesn't work so fundamentally What Ivy does, is it? It abstracts away the differences between the vendors and then it up levels information by using machine learning and analytics running in the car. To be able to allow a developer to say, you know, a P I. Is there a dog in the car like How simple is that? I don't have to figure out what the weight measurement is. I don't know. I have to know if there's cameras in the car or if there's some other way to know. If the dog I just need to ask, Is there dog in the car? And the A P. I, for my view, will tell you yes, No, or I don't know, you know, because sometimes there isn't the technology to know that. And then the application developer can then use that information to build delightful experiences, things that make your dog behave, hopefully, things that might help protect them on a hot day. Um, you know, in things where you know that if there's a child in the car, you don't play explicit lyrics. If they're fighting in the back seat, you make sure that the cartoons go off until they behave themselves and cartoons come back on. There are lots of in vehicle experiences that can be enabled by this as well as vehicle operations. So, you know, being able to do >>yeah and all that stuff. >>Yeah, Selective recalls making sure that Onley cars that are actually affected need to come in and making sure that that you know, that's that's quantified and that, you know, it is actually safe to drive to the point of recall. All of that could be done on a vehicle by vehicle basis. >>So are you competing with car companies now? >>No, fundamentally, the oe EMS are the Are the companies that that the car manufacturers are those that end up delivering this capability and they own the data. You know, this isn't something where BlackBerry or A W S owns the data the auto manufacturers dio so it's there platforms to make a delightful experience out of, um, we're just helping to make sure that that's as easy as possible and opening up. You know, the potential innovation so that it's, you know, it's certainly their developers internally. But if they want take advantage of the millions of AWS developers now, they could do that. >>Sarah, Great to have you on one of the things. I just want a final questions or final point. Let's get your reaction to Is that it seems to me with the cloud in this post covert scale error when you start to get into edge, um, you know, industrial I o t. You hear things like instrumentation supply chain, these air buzzwords, these air kind of characteristics all kind of in play. But the other observation is partnerships, arm or co engineering. Co development vibe. Is that just unique? Thio what you're doing? Or do you see this as kind of as a template for partnering? Because when you start to get these abstraction layers, the heavy lifting can be under the covers. You have this enablement model. What's your quick take on this? >>Yeah, I think we talk about undifferentiated heavy lifting, a lot of Amazon on defunding mentally. That's different for each industry. And he talked about that. His keynote. And so I think you know you'll see more and more co development and co engineering coming from from companies across when we have big technical challenges and these air complex problems to solve it takes a village >>awesome. Sarah Cooper Thanks for coming on GM of Iot. TIF Solutions A. The best to great success stories. The carrier and Blackberry, one Automotive with Black Braids operating system that powers the safety and for cars and, hopefully, future of application, development and carrier, with the cold connected chain delivering perishable goods, vaccines and food. Changing the game. That's a game changer. Thanks for coming on. >>Thanks, John appreciate. Always good to see you. >>Okay. Cube coverage. Jump shot for your host. Stay with us from or coverage throughout the day and all next couple weeks. Thanks for watching. Yeah. Mhm.

>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by A. W s Global Partner Network. Welcome back to the cubes Coverage Cube. Virtual coverage of AWS reinvent 2020. We're not in person this year. We have to do the all the Cube interviews remote. But we've got two great guests from the Amazon Web Services Partner Network A W s a p N. Craig Wicks, senior manager of AWS Satisfactory. Todd Golden, Principal Cloud Architect, Global SAS Tech Lead Gentlemen, Thanks for joining the Cube. Appreciate it. >>Thanks, John. >>Um, first of all, I want to get in Craig with you and just take them in to explain what is the satisfactory. Because this is a unique and growing team within AWS. Um, we've been saying it for years, but the moves to the cloud houses has been obvious is mainstream. But your team, your role is doing some interesting things. Explain. What is the satisfactory? What do you guys do? >>Yeah, Thanks, John. Really delighted to be here today. Yeah, the satisfactory. Maybe for those that may be somewhat disappointing. There's no factory, no sort of easy button for SAS. There's no templates. There's no machinery. We wish we had it. But we're really a global team of subject matter. Experts in SAS that really help AWS partners transform their business right both business and technical to the Saas model and help them do that faster with greater confidence and all the best practices that our team has learned over the years. >>And Todd, your solution architect. So you're the partner. You have to help your customers get their, um, you know, being a solution architect really is like the mechanic of the business. You gotta lay out the engine of innovation and this is what clients are trying to strive for. Can you take him and explain how your role is involved in this? Obviously, SAS is not. It makes sense on paper, but making it happen is not trivial. What do you What do you what? Your role. >>Yeah, so I'm very much, in fact, connected to Craig. We're all part of the same organization, and we're sort of very much deeply involved with these organizations. We get very much, um, embedded with these these partners that we work with and really helped them through sort of the nuts and bolts of what it means to transform an application thio multi tenant sort of SAS models. That means helping them figure out how to map that two different AWS services. It means helping them figure out how to realize the sort of the business objective objectives of transforming to sass. But really, our goal is to sort of just get into the weeds with them, figure out their specific domain because there's no one size fits all. Versace figure out how that really connects toe, where they're at in their trajectory, in terms of where they're trying to get to end of the journey is a business and then find that alignment with a W S services. So there's sort of that trifecta of lining all those bits up and sort of formulating, Ah, technical strategy that really brings all those pieces together for them. >>Craig, I want to get your thoughts on the trends, and Todd, you can weigh in to want to get your reaction. Over the weekend, I was picking some folks on on the Internet, linked in and whatnot from eight years ago when that we did our first cube at reinvent with second year of reinvent, and nobody was there in the industry press, wasn't there were the first I think press to be there. Um and a lot of people have either moved on to big positions or companies have gone public. I bought me. Major things have happened in 2013 clouds certainly rose there. SAS became the business model. Everyone kind of knows that. But the dynamics today are different when you think about the on premises and you got the edge. A big part of the themes this week in the next couple weeks as we unfold here reinvent. This >>is >>different, but the same Can you share? What is the trend that people are riding on? What's the What's the wind of innovation? >>Yeah, and certainly I would say, First of all, just personally, I've been in SAS for some time. It was involved early on, in sort of, ah, model. We called the application service provider model, which was sort of a predecessor assassin, you know, the gray hairs out to remember that one. But, uh, you know, I think first of all, I would say SAS is everywhere and people wanted to be everywhere And so there's just We just see insatiable demand for sass from from customers out there, right? And I think the challenge problem we see is that organizations that we work with just can't transition fast enough, right? The rial technical challenges that air in front of them in terms of how they build an architect, Assaf solution and but most importantly, the business model that sort of underpins. That is a huge transformation for companies that they're going through. And that's one of the things that we just see. You know, Justin, my time in satisfactory native us. The range of organizations we worked with has just changed. So, you know, early on we're working with companies and infrastructure around security and storage and those areas, and the last few years it's just expanded to all sorts of industries, from public sector oil and gas. Um, sort of financial services. You know, everyone really wants to build this model, and that's really, you know, born around the customer demand they're seeing for South. >>That's interesting. You mention challenge. I wanna get your thoughts. You mentioned a SP application service provided you remember those days, you know, vividly, mainly a tech thing, but it's really a consumption model around delivery of software and services. And, you know, Web services came on in 2000. The rest is history. We've got Amazon Web services, but now, as you get more vertically expanded oil and gas and go mainstream. But what >>are some >>of the challenges? Because as people get smarter, it's not just about self service or buy as you go. It's a business model you mentioned. Is it a managed services itself? Services has been embedded into the application. Can you share some of the new things that are emerging on the business model side that people should pay attention to? What, some of those challenges? Yeah, I >>think one of the first things is just a fundamentally are operating service, right? So that changes the dynamics to everything, for in terms of how you engage with customers to how you deliver. You know, the kind of simple thing E I often tell people is you know who's answering the pager now. If someone goes, if something goes wrong, it's not your customer. That's you right, and you have to manage and sustain that service and and really continue Thio provide innovation and value to customers. Right? That's one of the challenges we see is is organizations are now on a treadmill in terms of innovation where customers expect something from South model and you really have to deliver on that. And then one of the final points I would say is it really transforms how you think about going to market right sales and marketing your fundamentally transformed. And, um, you know, traditional ways of really selling software and technology. Um, largely go away and go away and some good ways. And SAS, where you can really put customers in experience right and have them evaluate your technology in a manner where they can have a trial experience, right in a way, toe really introduce them to technology very slowly. And then, um, they grow over time, right? As they see value in that software, which is very aligned, how we think about, you know, a AWS our own technology. >>Okay, Todd, I gotta ask you out. So you want to drive that car? The SAS car, What's under the hood with the right tires? What's the conditions? And it's a technical issues here. If I'm a customer, I'm in a PM, partner. Okay, I'm in there. I got a traditional business pandemic hits or just my business models forcing me. What's your advice? What have I got to do? What's the playbook on the technical side? How doe I go to the next level? >>Well, uh, you know, we're obviously gonna ask a lot of questions and probably the answer to that, sadly, like most technical people will say to you is it depends which is never the answer anybody wants to hear. But so we're definitely gonna ask a lot of questions you about, like where you're at. What are the immediate sort of pressures in your business? This is where the technical team people on our team tended wearing a little bit of a business hat here where we want to know before we sort of guide you down any one particular technical path, like water. Sort of the key sort of dimensions of getting you to a SAS till every model, but but probably as a theme generally were saying to people is, Let's look at how we can get you there incrementally. Let's get you into a SAS model as fast as we possibly can. So we have a lot of different sort of patterns and strategies will use that air about sort of incremental adoption of SAS, which are how can I sort of lift my existing environment, move it into a SAS model, present a SAS offering to the business, Let me operate and run, get the metrics and analytics, get the sort of operational efficiency and the Dev ops goodness of sass, and then sort of move after that into the insides of that sass application. And think about now, how can I begin to move that two more modern constructs? How can I move that into containers? Potentially? Or how can I begin to adopt server list technologies? How can I apply? I am another constructs to achieve Tenet isolation. Eso We're really just trying to put them in a position where they can sort of incrementally modernize their applications while still realizing the benefits of getting to market on a saas model. >>So you're saying that the the playbook is come in low hanging fruit is used existing core building blocks, you see two s three dynamo whatever and then hit the higher level services as you get more experience Or is there a certain recipe that you see working for customers? >>So it's it's probably less about that. It's probably It's not about necessarily where you're out in the service continuum and which services you're using. Um, well, we're gonna move you to a set of services that are probably a good set of services that are that way to move your monolith in most effectively into a saas model as a beginning point that could land you in to that could land you in containers. The more important thing we're going to do here is we're going to surround the that sort of experience with all the other moving parts that you have tow have billing metrics. We're gonna We're gonna build in on boarding so that you could get frictionless on boarding. Those are all gonna be net new things you have to build. We're probably gonna change your identity model and connect that up with cognito or one of our partners solutions eso for us. It's it's sort of grabbing your existing environment. Can we move it over effectively, maybe modernize it a little bit along the way, but more importantly, build all those horizontal concepts in leveraging the right AWS services for you, uh, to bring that to life. >>That's actually smart, aleck. The way you described it that way, it's almost as if it's the core tenant of what Amazon stood for. You standing up fast and you get value, right? So what you're saying is, whatever it takes is a variety of tools to stand it up. I mean, this is interesting, Craig, and talk if you can comment on this because one of the things that we've been reporting on, I've done probably a dozen interviews specifically around companies that have moved to the cloud early, proactively kind of in this way, not in a major radical way. But, you know, operationally they have been transforming, you know, piece by piece. How Todd you laid it out and then pandemic it. And they've had successfully position themselves to take advantage of the forcing function of necessity of dealing with, you know, remote work and all these things that just clobbered him so and again. They were on the wave at the right time. Kind of because they had to because they did the right work. This >>is a >>factor. This is gonna tell sign. Can you guys share your reaction? What you've seen with satisfactory because this >>is the >>benefit of moving to the club. Being positioned needs pandemic today. Tomorrow, its edge. What's after that? Right space. I mean, there's a lot of things. This is kind of the playbook. What's your reaction to that? Correct. >>Yeah. I certainly see, you know, organizations that we work with that have really delivering the SAS model, being more agile, right. The ability to sort of flex resource is and change the way they sell and work with customers and find ways to, um, sort of delivered to them. Um, that don't require, um, some of the things that we're really maybe some of the things that are holding them back from traditional software in terms of how fast they deliver new features and services and, you know, changing to sort of market and world dynamics very quickly. Right is a big part of that. And, you know, one of the things we talked about in the SAS model is really not just getting to sass, but being to deliver in that model, right? And dr Innovations to customers very quickly. Um, s O that you really getting sort of securing, you know, sort of them is the loyal customers and sort of a lifetime customer. Hopefully, um, you know, that's a big part of status. >>Yeah. And there's two types of organizations that you guys have been successful with. The startup, obviously, you know, category creators or disruptors will come in, you know, come in with a nap. Born in the cloud, kick some ass you've seen that movie happens all the time still going on. And then you got the existing organizations that have to stay in that innovation wave and not get crushed by the by the change can you guys share how the factories working? The satisfactory from a mix of of clients is Atmore establishes its startups in between. Give us a taste of What's the makeup? >>Yeah, it's range just to give you a range of some of the companies worked with from kind of legacy technology companies or companies that have been around in some time, like BMC, you know, f five alfresco we've all worked with over the past few years, and they've launched products with our team on a W s. You know, to kind of start ups like Matile. Ian. You know, Cloud zero. Cokie City, which just launched a data management service announced here at Reinvent um, two very kind of specific industry players. I think this is a trend we've seen most recently where, you know, we work with organizations like NASDAQ. I based tea in the aerospace, you know, area Emerson in oil and gas. We've seen in a number of oil and gas companies really come to us based on sort of dynamics, their industry and the constraints the customers are in in terms of how they could deliver the value they provide, >>is there. Is there a key thing that's popping out of all these deals that kind of has a is a tale sign of pattern or, um, a specific thing That's obvious on then, when you look at the data, when you zoom out, >>Yeah, I think one thing I would just say people underestimate the transformation. They have to go through continually. And we still have organizations that come to us, and maybe they come to Todd or others, and they're really they're envisioning This is a technical transformation, right? And they sort of want to talk all about the application and and sort of the new architecture er they they want to move to. But we really see theon pertinent A line business and technology around sass is a model, and that's really fundamental to getting it right. And so, you know, often we see organizations that really have unrealistic launch dates, you know, which is pretty common in software and services these days, but particularly a staff model. We just see that, you know, they underestimate the work in front of them and kind of what they need to bring with that >>Todd real quick for it against the announcements which are cool. Um, technical things that pop out of these organizations is there, Uh, the cream kind of rises to the top. When you look at the value proposition, what do they focused on? Technically, >>um, you know, it's interesting because to me, ah, lot of the focus tends to be more on the things that would surprise you. Like a lot of people are wanna sort of think about how to design the ins Thea click ation on the business logic of their application and take advantage of this scale on the sizing of AWS and those things, they're still all true. But but really an assassin organization with a really successful SAS organizations will see ah, lot more shift to the agility and the operational efficiency, right? So really good organizations will say we're going to invest in all the metrics and all the land analytics, all the tooling that lets us really have our finger on the pulse of what our customers are doing. And then they'll derive all their tech and their business strategy based on this really data driven experience. And I see that as the trend and the thing we certainly advocate a ton inside of the satisfactory is don't under invest in that data because that data is really especially in a multi 10 environment where everybody's running in this sort of shared environment. That data is essential to understanding how to morph your business, how to innovate, understand how your cost profile is really evolving. And so I see the really strong organizations building lots of the sort of foundational bits here, even ahead sometimes of building features and functions into their own products. >>It's not only moving fast and deploying tech is moving fast on the business model innovation as well. You're basically saying, Don't overplay your hand and try toe lock in the business model logic because it's gonna change with the data that what you're saying. >>Yeah, they're playing for for the innovation. They're playing for the agility they're playing for new markets, new segments that may evolve. And so they're really trying to put themselves in the position of being able to pivot and move. And they're really taking pride in the fact that their technology lets them do that. >>You know, that's not that's a business model That's not for the faint of heart. You know, when you have a market that has a lot of competitiveness to it and certainly was seeing the sea change happening over this year in the past few years, with cloud completely changing the playing field, winners and losers air emerging. And that's I think, this key it's you know, as I said in The Godfather, you know, you need a wartime conciliatory for these kind of times, and this is kind of what we're seeing, and I think that's a great point. Todd. Good stuff there. Um Okay. So announcements. You guys had some things on stage. Talked about Craig. You guys launching some new stuff? New programs? >>Yeah, absolutely mhm. Yeah, John, I guess our model is really to learn from a range of partners and experiences we have and then, you know, build tools and approaches to help everyone go faster, right? Because we certainly can't work with thousands organizations. And one of things that our team has had the opportunity over the last few years is published ton of articles, Blog's white papers, you know, very specific approaches to building SAS solutions. If you search Todd Golding out there on YouTube or anything, you'll find a bunch of things. But we wanted to bring on the altogether. And so we've created Central directory called Satisfactory Insights. Hug. And there's a right now over 70 unique pieces of content that our team is produced and curated. Whether you're starting on your staff journey right, you need socks one on one and business planning to level 400 right? 10 10 in isolation from Todd Golding, right. That's all there and available to you on the satisfactory program page. >>What? Some of the interesting things that came out of that that data from the insights you can share. >>Yeah, a couple things that we have we published most recently I would point to are really interesting. We just recently published a five case study where we go deeper in terms of their transformation. To really understand what was, you know, behind the scenes and that, um, we also published a white paper called the SAS Journey Framework, where for the first time, our team really broke down the journey. And what are the steps required? And what are some of the key questions you need to ask Onda Final piece I'd point to for people that Todd talks to is, we have, ah, white paper on SAS tended isolation strategies where we really go deep on on that particular challenge and what's there and that's also published and available on our satisfactory inside sub. Could you >>just define what is that mean tenant isolation strategies? What does that >>go to Todd with that for sure? >>Let's get that on the record. What is the definition of SAS tenant isolation? >>Sure, sure. So, you know, I think I've been in the room and with a lot of people that reinvent and basically have been in Chuck talks and said, You know what's tended isolation to you, and a lot of people will say Oh, that's authentication. Essentially, somebody got into the system. So now I know my system is isolated, but and a multi tenant environment right where we're running all this. These resource is in this data all co mingled from all of these different tenants. Um, it would be a huge blow to the business if one tenant somehow inadvertently exposed the resource or exposed to the resource is of another tenant. And so, fundamentally 10 of isolation is all of these techniques and strategies and architectural patterns that you use to ensure that one tenant can inadvertently get access to the resource is of another tenant s. So it's a sort of a layer of protection and security that goes beyond just the authentication and authorization schemes that you'll typically see in a cess architectures. >>So that's basically like having your own room lock and key doorway not just getting in, but no one can access your your stuff. >>Yeah, so it's a whole set of measures you could imagine. Identity and access management and other policies sort of defining tenant boundaries and saying, as each tenant is trying to access a resource or trying toe, interact with the system in some way, you've put these extra walls up to ensure that you can't cross those boundaries. >>Todd, I want to get your thoughts on this. Well, architected sas lens piece. What is this all about? >>Well, um, a WS has had for a long time the sort of the well architected framework, which has been a really great set of sort of guiding principles and best practices around how to design an architect solutions on top of AWS. And certainly SAS providers have been using that all along the way to sort of ask foundational questions of their architecture. Er But there's always been this layer of additional sort of SAS considerations that have set on top of that are that air SAS specific architectural patterns. And so what we've done is we've used this mechanism called the well architected lens that lets us essentially take our SAS architectural principles and extend the well architected framework and introduce all these concepts into the SAS and to the architecture pillars that really ask the hard SAS architecture questions so security operations reliability all the sort of classic pillars that are part of the well architected framework now have a SAS specific context added to them. Thio to really go after those areas that are unique to sass providers. And this really gives developers, architects, consultants the ability to sit down and look at a SAS application and evaluate its alignment with these best practices. And so far we can really positive response. Thio the content. >>Great job, guys doing great work. Finally, there's something new that you guys are announcing today to make life easier. Preview building SAS on a bus. What's that? What's that about? >>Sure. Eso You know you can imagine. We've been working with thes SAS providers for a number of years now, and as we've worked with them, we've seen a number of different themes emerge on and and we've run into this pattern That's pretty common where we'll see these, uh, these customers that have a classic sort of installed software model. They're installing it on premises or in the cloud, but basically each customer's sort of has their own version of the product. They have one off versions. They have their potentially have customization that are different. And while this works for some time for these businesses, what they find is they sort of run into this operational efficiency and cost wall. Whereas they're trying to grow their businesses, they they just really can't. They can't sort of keep up based on the way that they're running their current systems, and this is sort of a natural draw to move them to sass. But the other pattern that we've seen here is that these organizations are sometimes not in a position where they have the luxury of sort of going away and just saying, Hey, I'll rewrite my system or modernize it and make all of these changes. There could be any number of factors competitive pressures, market realities, cost that just make that too much of, ah, difficult process for them to be able to just take the application and rewrite it. And so what we did is sort of try to acknowledge that and say, What could we do to give you, ah, more prescriptive solution of this, the sort of turn key, easy button, if you will to say, Take my existing monolithic application that I deliver in this classic way and plug it into an existing pre built framework. An environment that is essentially includes all these foundational bits of assassin Vyron mint. And let me just take my monolith, move it into that environment and begin toe offer a SAS product to to the universe. And so what we've done is we've printed something and were introduced. We've introduced this thing called a W s SAS boost So a W s ass boost. It's not on a W s service. It is an open source reference environment. So you essentially download it. You install it into your own A W s account. And then this installs all these building blocks of sass that we've talked about. And it gives you all this sort of prescriptive ability to say, How can I now take my existing monolithic environment lifted into this experience and begin toe offer that to the market as a sash products. So it has, you know, it has billing. It has metrics and analytics. All the things we've been kind of talked about here they're all baked into that from the ground up on. We've also offered this an open source model. So our hope here is that this is really just the starting point of this solution, which, which will solve one business case. But our hope is that essentially the open source community will lean in with us, help us figure out how to evolve and make this into something that addresses a broader set of needs. >>Well, I love the SAS boost. Firstly, I wanna take the energy drink business there. Right there. It sounds like an energy drink. Give me some of that sass boost by that at 7. 11. Craig, I wanna get the final word with you. You've been the SAS business for over 20 years. You've seen this movie before. There are a lot of people who know the SAS business, and some people are learning it. You guys are helping people get there. It's different, though. Now what's different today? Because it's it's It's not just your grandfather's sass. As the expression goes, it's different. It's new dynamics. What is, uh, the most important thing people should pay attention to Whether they have a SAS legacy kind of mindset or they're new to the game. Take us >>home. Yeah, I >>think certainly, you know, getting disaster is not the end of the journey. You know, we see really successful fast provider. Just continue to differentiate, right? And then one of the things that I think we've seen successful SAT providers do is really take advantage of AWS services to go faster. Right? And that's really key, I think in this model is to really find a way to accelerate your business and deliver value faster. Andi just sort of keep that differentiation innovation there. Um, but I would just say now that there's more information out there available than ever, you know, and not only from from our team, but from a host of people that really are our SAS experts and follow the space. And so lots of resources available. Everyone >>All right, gentlemen, Thanks for coming on. Great insight. Great segment on getting to sass, sass boost Just the landscape. You guys are helping customers get there, and that's really the top priority. It's necessity is the mother of all invention during this pandemic. More than ever, uh, keeping business model going and establishing new ones. So thanks for coming on. >>Thanks for having us, John. >>Okay, It's the cubes. Virtual coverage. We are a SAS business. Now we're virtual bringing you remote. Uh, SAS Cube and, uh, more coverage with reinvent next few weeks. Thanks for watching. Okay, yeah.

(bright music) >> Announcer: From around the globe, it's theCUBE, with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Global Partner Network. >> Okay, welcome back everyone to theCUBE Virtual Experience here for re:Invent coverage 2020 virtual. Normally we're in person doing interviews face to face, but we're remote this year because of the pandemic. We're here for the APN partner experience, kickoff coverage with two great guests, Rima Olinger, of global lead for VMware cloud on AWS. And Aarthi Raju, Senior Manager Solutions Architecture for Amazon Web Services. Thanks for coming on, appreciate it. >> Good to be with you John, thank you. >> So I got, want to get it out there this partner network experience, it's really about the ecosystem. And VMware has been one of the biggest success stories. They've been around for a long time, and not one of the earliest ecosystem partners, but a big success. 2016, when that announcement happened, a lot of people were like, whoa, we VMware is giving into Amazon. And Amazon was like, no, that's not how it works. So turns out everyone was been proven wrong, it's been hugely successful beneficial to both. What's the momentum, share an update this year on the AWS VMware momentum. >> So John, as you know, we're into our third anniversary, and the relationship cannot be any stronger. We see customers are leaning into the service very heavily. We see great adoption across multiple industries. As some data points for you, if we look at October of this year to October prior year, we're seeing the number of active nodes, or the number of consuming host and active VMS, nearly doubled year over year. we also continue to see greater partner interest in the solution, we have over 300 ISVs that have validated the services on VMC. And we see over 600 plus partners that continue to take the competencies and build practices around it. So the momentum is very strong, for years still today. >> One of the comments I made when the naysayers were like kind of pooh-poohing the deal, I was like, no, no, the cloud growth is going to be a factor at that time, then, the trendy thing was software's eating the world, was a big trend there. If you look at the growth of cloud scale, and software innovation, and the operating side of it, 'cause VMware runs IT, they let operators running IT. There's no conflict because Amazon's growing and now the operator roles growing and changing. So you have two dynamics going on. I think this is a really nuanced point for the VMware, AWS relationship around, how they both fit together. Because it's a win win better together scenario, and it is on AWS, which is a distinction. Can you guys share your reaction to kind of that dynamic of operating software at scale, and how this translates for customers? >> Absolutely, we see a lot of benefits that this service is bringing to the customers. Because what it's doing is providing them with this consistent infrastructure and operations across hybrid cloud environments. And in this way, they have the choice of where to place their applications on-prem or in the cloud, specifically. And this is one of the reasons why AWS is a VMware's preferred cloud provider for all vSphere workloads. We see the customers gravitate towards it and be receptive to it specifically because they say I accelerate my path towards migrating and modernizing my application. It provides me with consistent as I mentioned, operations and infrastructure. And it also helps them with factoring, and helps us scale their business and very fast, very seamless fashion. Aarthi what is your perspective, maybe additional things. >> Yeah. >> Yeah, from a technical innovation perspective, the momentum, John has been very strong, especially, listening to what customers have been asking us the past couple of years. 2020 has been a big year for us in terms of launching some giant innovations. A couple of things to call out is, we launched the VMware Transit Connect. This was announced during VMworld this year and customers have been telling us, hey, we are migrating workloads from on premises to the cloud, we need a simplified way of connecting all these resources on-prem resources, resources on VMware cloud on AWS, and their AWS native resources as well. So, the VMware Transit Connect, uses the AWS transit gateway that we launched at re:Invent two years back to provide that simplified connectivity model for our customers. The next big thing this year was, we introduced a new instance type i3en.metal, So customers have been telling us they want denser nodes for especially storage heavy workload. So we launched this i3en, that comes with approximately, like 45 terabytes of storage per node. So that's a lot of storage for individual nodes. So customers have been taking advantage of these dense nodes as well. There was other areas that we kind of focused on from a lower entry point for our customers. When we initially started the service, John, you know that we had, the minimum entry point as four nodes, we've scaled that down to three, and now we've come to two nodes, giving the same production SLA for customers. The other big launch this year was the acquisition of Datrium by VMware and how we introduce the VMware cloud disaster recovery. Datrium uses the eight native AWS services like S3 and EC2, providing customers this low cost TR options. We're talking about the APN here and for partners, we launched the VMware cloud Director Service, which delivers multi-tenancy to our managed service providers, so that they can cater to small, to medium sized enterprises. >> What are some of the other use cases that are the key in these migrations, because this becomes a big benefit we're hearing, certainly, during the partner day, here at re:Invent, is, migration, cloud SaaSification, getting to a SaaS, but not losing the business model. Either was on premises or born in the cloud, this done new operating models, the key thing, what are some of the key use cases for partners? >> The most widely adopted use case that John, which you rightfully touched on, is really the cloud migration. We see around 41% of customers use the service just for cloud migrations. Now, this could be an application migration, like SAP, SQL server or Oracle Applications, or it could be a complete data center evacuation. And we see that with some customers who have a cloud mandate, or they have refresh cycles that are coming up, or maybe they're in a colo, and they're not happy with their SLA. I could use the example of William Hill, is one of the customers largest betting and gaming companies that are in the UK. And what's the use case was, a combination of a data center extension as well as a capacity expansion specifically. And what William Hill was able to do is, move 800 on-premise servers, and they decommission them in the first 12 months. And they also migrated 3000 VM. So that is cloud migrations is a big use case. The second big use case, as I mentioned earlier, is the data center extension that includes also VDI, the combination of both is around 42% of the use cases, with around 26%, I would say for data center extension and 16% for VDI. Why, customers want to expand their footprint, they want to go to a new region, and they want to meet on demand, cyclical capacity needs, or sometimes temporary needs for some events or some seasonal spikes. So we see that as a second big use case. A third one equally important, tend to be disaster recovery. Now, this is either to augment an existing DR. Replace a DR that is already in place, or start a new DR, and that constitutes around 17% of the use cases that we see. Because customers want to reduce their DR, avert some cost by moving to the cloud. And one example that comes to mind is Pennsylvania Lumbers Men's Mutual Insurance, it was a DR use Case. They worked with an external storage partner of ours faction in order to put that in place. So overall a great use cases across the board. And I know a big one is application modernization, Aarthi, I know you work with your teams on that, if there's any feedback from you on that. >> Yeah, the next generation applications or application modernization comes a lot. We talk to like AWS customers who are migrating from on-premises to the cloud using VMware cloud on AWS. And three or four years back as we were building the service and architecting, one thing was very evident, like we wanted to make sure that as we were building the service, we wanted to ensure that customers can take advantage of the native AWS services. We've got 175 plus services and new services launching at re:Invent, So we wanted to make sure that there is this, seamless mechanism and seamless path for customers to modernize using native AWS services. So what we've done as part of like onboarding for customers and as customers built on VMware cloud on AWS, is provide them both the network path and data path. So they can as your into the same availability zone or region, they're like, hey, I can use S3 for backups. I can use EFS, for file shares, etcetera. So we're seeing a wide range of next generation application use cases that customers are building on. >> Why would I get at the reasons why customers are continuing to adopt VMware cloud on AWS? Can you guys share an update, I'll show you the obvious reasons, the beginning was nice strategy for VMware, it's proven to be clear. But where's the innovation coming from? What's the key drivers for the adoption of VMware cloud on AWS? >> So one of the key patterns that we are seeing is, customers who used to be risk averse, customers will be invested a lot in VMware. And at the point, they did not want to move their workloads or applications to the cloud because of the risk involved, or sometimes they didn't want to refactor, or they were worried about the investment in tools, resources, they tend to gravitate towards this solution. The fact that you could provide your customers with this consistent infrastructure and operations across on premise, as well as on the cloud environment. The fact that you do not need to do an application refactoring. You could optimize your workload placement, based on your business needs, you could move your workloads bidirectionally, you could either leave it on-prem, or move it to the cloud, and vice versa. We've also noticed that there is a lower TCO associated with the use of the service. We know from a study that VMware commissioned Forrester in 2019, for that study, that 59%, there is a recurring savings in terms of infrastructure, and operational savings that is related to that. Customers tell us that, this consistency in infrastructure is translating it, into zero refactoring. This consistency in operations, is leading them to use their existing skill sets. And with the ability to relocate the workload skill into the environment that best suits them, that is providing customers with maximum flexibility. So I would say it is delivering on the promise of accelerating the migration and the modernization of our customers applications so that they can continue to respond to their business needs and continue to be competitive in the marketplace. >> Aarthi I want you to weigh in and get reaction to that. Because again, I've talked publicly and also privately with Ragu, for instance, at VMware, when this was all going down. It's a joint integration, so there's a lot of things going on under the hood that are important, what are the most important things that people should pay attention to around this partnership? Could you share your opinion? >> Yeah, sure, John. So one of the most common questions that we get from customers is, hey, this is giant integration, we can take use of make use of native AWS services, but what are some of the use cases that we should be targeting, right? As we talk to customers, some of the common use cases to think about is, it also depends on the audience. Remember, admin scoring example, who might not be familiar with the AWS side of services, they can start with something simple like backing up. So S3, which is our simple storage service, we see that use case way more often with our VMware cloud on AWS customers. This also ties with that Datrium integration that I talked about with the VCD or the VMware cloud disaster recovery, providing that low cost TR option. We are also starting to see customers offload database management, for example, with Amazon RDS, and taking advantage of the manage database service. As we talk to more customers, some of the use cases that comes up are like, hey, how do I build this data lake architecture? I've migrated to the cloud, I want to make use of the data that I have in the cloud now, how do I build my data lake architecture or perform analytics or build this operation resiliency across both these environments, their VMware cloud on AWS, as well as their native AWS environments? So we've got that seamless connectivity that they can take advantage of with VMware Transit Connect, we've got the cross account ENI model that we built, that they can take advantage of. And he talks about this one, and talks about the security is always job zero for us. And we're also seeing customers that take advantage of the AWS services like the web application firewall or shield, and integrating it with the VMware cloud on AWS environment. And that provides a seamless access right? You now have all these security services that AWS provides, that allows you to build a secure environment on VMware cloud on AWS. So providing customers the choice has always been a priority, right? We're talking about like infrastructure level services. As we move up the stack, and as customers are going through this modernization journey, like VMware provides containerization option using VMware Tanzu, that came out at VMworld. And then they also have the native options, we provide a EKS, which is our Kubernetes as a managed service. And then we also have other services that enables customers to take that jump into that modernization journey. One customer we've been working very recently with is PennyMac. They migrated their VDI infrastructure into VMware cloud on AWS. And that's allowed them to scale their environment for the remote workers. But what they are doing as part of their modernization journey, is now we're helping them build this completely serverless architecture, using Lambda on the AWS cloud. >> Yeah, that's really where they see that, the value is high level services, the old expression prima, they use the hockey from Wayne Gretzky skate to where the puck is going to be, or, get to where the ball will be in the field. This is kind of what's happening, and I'm kind of smiling, when Aarthi was talking because, I've been saying it's been, going to, IT operations, and IT serviceman's is going to change radically so years ago. But you're really talking about here is the operating side of IT coming together with cloud. VMware, I think is a leading indicator of, you still got to operate IT, you still got to operate stuff. Software needs to be operated apps need to be operated. So this new operating model is being shown here with cloud, this is the theme with and without IT. With automation, this is the big trend from re:Invent this year. Obviously AI machine learning, you still got to operate the stuff. It's IT, depends on, we got lammed in automation doesn't go away, the game is still the same, isn't it what's happening here? >> Absolutely, so what we're saying is, once there's that you're absolutely right about the fact that they needed to, worry about the operations, once they migrate their workloads, they're taking their data, they're saying, how do I make sure that I put in place operational excellence, and this is where, AWS comes in, and we provide them with the tools needed to do that. And then step number two, say, what can I do with this data? How do I translate it into a business benefit? And this is where the AI ML tools come in place, and so forth. And then the third step, which is all right, what can I do to modernize these applications further. So you're spot on, John, in saying that this is like a transformation, it is no longer a discussion about, migration anymore, it is more of a discussion about modernizing what you have in place. And this is, again, where this brilliancy between the collaboration, between VMware and AWS, is bringing to the table, sets of tools and framework for customers, whether it's security framework or networking framework, to make the pieces fit together. So I'm very excited about this partnership. And we continue to innovate, as you heard in prior discussions with our executives on behalf of our customers, we spoke about the RDS Amazon, relational database service on vSphere. We spoke about how to post on VMware cloud on AWS, to bring the cloud to the customers data center for specific needs that they have in spite. And we're not stopping here. We are continuing not to make more joint engineering and more announcements, hopefully in the future to come. >> That's great insight. And a lot of people who were commenting, three, four years ago, when this is all going down, they're on the wrong side of history, that the data is undeniable, refutable, it's a success. Aarthi give us the final word, modern applications, modern infrastructure, what does that mean, these days? What's the bottom line when you talk to people out there? When you're at a party or friends or on zoom, or a Jime, in conference? What do you tell people when they say, what's a modern application infrastructure look like? >> Yes, the word modern application, the good or bad thing is it's going to, what I said yesterday could be different from what I'm saying today. But in general, I think modern application is where we enable our customers to focus more on their business priorities using our services, versus worrying about the infrastructure or worrying about like, hey, should I be worrying about capacity? Should I be worrying about my operational needs or monitoring? I think we want to abstract all that. We want to take that heavy lifting off of customers and help them focus on their business. >> Horizontally scalable and leveraging software in the application, can't go wrong with that formula in the cloud. Thanks for coming on, and thanks for the awesome conversation. Thanks for coming on. >> Thank you John. >> Thank you >> Okay, it's theCUBE Virtual for re:Invent Experience 2020, this is virtual, not in person this year. I'm John Furrier, your host from the theCUBE, thanks for watching. (bright music)

>> Announcer: From around the globe, it's the CUBE with digital coverage of AWS re:Invent 2020 special coverage sponsored by AWS Global Partner Network. >> Welcome back to theCUBE's virtual coverage of AWS re:invent 2020, it's virtual this year, we're usually in person this year we have to do remote interviews because of the pandemic, but it's been a great run, a lot of great content happening here in these next three weeks of re:Invent. We've got two great guests here as part of our coverage of the APN Partner Experience. I'm your host, John Furrier. Barbara Kessler, Global APN Programs Leader, and Ryan Broadwell, Global Director of ISVs for AWS. Thanks for coming on the CUBE, Thanks for joining me. >> Hey, thanks for having us, it's great to be here. >> You know we heard of-- >> Yeah thanks for having us John. >> Thanks for coming on. Sorry we're not in person, but tons of content. I mean, there's a lot of the VODs, the main stages, but the news hitting this morning around Doug's comments from strong focus of ISVs is just a continuation. We heard that last year, but this year more focus investments there, new announcements take us through what we just heard and what it means. >> Yeah John, I'll jump in first and then let Barbara add some additional color and commentary, but I think it is a continuation for us as we look at continuing to build a momentum with our ISVs they're mission critical for us, and we hear that loud and clear from our customers. So as you think about building off what Doug was talking about, I think it's first important for us to start with, we look to help our partners build and build well-designed solutions on AWS, supporting their innovation and transformation and working together to deliver scalable, reliable, secure solutions for our customers. To facilitate this, we offer programs such as AWS SaaS Factory, that provide enablement to our ISVs to build new products, migrate single tenent environments or optimize existing SaaS Solutions on AWS. And we do this through mechanisms like Webinars, Bootcamps, Workshops and even one-on-one engagements. You know, as you talked about, we just heard from Doug announce AWS SaaS Boost, which is a ready to use open source implementation of SaaS tooling and best practices to accelerate ISV SaaS Path. Through SaaS Factory which we've worked on with many ISVs in the last few years and you're well aware of, we have lots of learnings and we've helped a lot of partners make that journey towards SaaS. Partners like BMC, CloudZero, Nasdaq, Cohesity, or F5 transform their delivery and business models to SaaS. We've had a lot of demand for this type of engagement. And we knew it was important that we come up with a scalable way to help partners accelerate their transformation. SaaS Boost provides prescriptive experience to transform applications through an intuitive tool with many core services needed to develop and operate on the AWS Cloud. In addition to that, we look to use the well-architected framework, which is proven to set the architectural best practices for designing in operating systems in the Cloud, to help ISVs build their solutions on AWS. We just launched two additional lenses in well-architected tool, to enable ISVs to conduct these reviews from within the AWS console, one SaaS environment, and one aligned with foundational technical reviews, which helps partners prepare for the technical validation in AWS Partner Programs. >> You know, the SaaS Boost, I love that I was joking on Twitter, it sounds like an energy drink. Give me some of that SaaS Boost, don't drink too many of them you get immune to two to strong out, but this is what people want Barbara. This is about the Partner Network. You guys are providing more stuff, more successful programs and capabilities. This is what the demand is for. Help me get there faster path to SaaS. Can you explain what this means for partners? What's in it for them, can you share your thoughts? >> Yeah, absolutely. And you know, Ryan talked about some of the things that we do to help partners build their ISVs and software or SaaS products. But in addition to that, we provide a number of programs and resources to help partners also grow their business through marketing and sales focused programs. That's an area that we are focused on investing deeply with our partner community. For example, we offer APN Marketing Central through which partners can find and launch free customizable marketing campaigns, or even find a marketing agency to work with that has experienced messaging AWS, it also offers APN marketing activity. We recognize that not all partners, especially if they're in their startup stages, have those investments and skill sets yet around marketing. So Marketing Academy offers self service content to teach partners who don't have that capability in house today, to how to drive awareness campaigns and build demand for their offerings. We also offer a broad set of funding benefits to help partners starting from the build stage that Ryan talks about through Sandbox Credits to support their development, all the way through marketing with Market Development Funds as they're selling with what we call our partner Opportunity Acceleration Program, which is how we fund POC to support our partners and winning new customers. We also heard Doug announce in the keynote that we are launching the ISV Accelerate Program. This is our new co-selling program for ISVs that offer compensation incentives for AWS account managers, access to co-sale specialists and reduced marketplace listing fees to help our partners continue to grow their business with us. >> You know, successful selling is amazing. You want to make money. I mean, come on, you bring it a lot to the table. Co-selling I think that's a huge point. Nice call out there. Ryan, can you give some examples of partners that have been successful with these resources? >> Hey John, thank you. Yeah, it'd be great to kind of walk through with one good example and a little bit of detail. And what we've seen with Sisense is a great example of a partner that leveraged these resources and the work that they've done with Luma Health. So Luma Health serves millions of patients, provides a Cloud-hosted patient engagement platform that connects patients and providers. You know when word about COVID started, spreading Luma helped solve a big increase in questions and concerns from patients and the providers. Luma Health saw an opportunity to create new products, to help patients and providers during the pandemic, to decide what to build and how to build it, the company wanted to analyze sentimental signal and data real-time. Using Sisense, Amazon Redshift and Amazon Web Services, Data Migration Services, Luma Health built a platform that delivered analytics and insights it needed, democratizing access to the data for all users. As a result, Luma Health uncovered insights such as facts that SMS was the preferred method of communication and that many patients had similar questions. Just three weeks after their hypothesis, Luma Health released new products based on its insights, a turn-key EHR enabled healthcare solution, zero contact check-in and COVID-19 Broadcast Messaging System. >> So a lot of good successes. The question that I would ask you guys, this is the probably what's on everyone's mind is I'm a partner, I'm growing, obviously I'm in the partner network because I'm being successful. I don't have a lot of time. I need to figure out all the stuff that you have. You have so much going on that's good for me. I don't know what to do. Can you help me figure out what resources and programs to leverage? I could imagine this is a question that I would have, I want it too, I want to make money co-sell, I want to get into this program. What's the best path? I mean, what do I do? Can you share how you help your partners get on the right road, have the right resources, What are the right programs? 'Cause it makes it more consumable. This is probably a big challenge, can you share your thoughts? >> Yeah, happy to explore that. So we certainly find a lot of opportunity to innovate with our partners and customers and a result we do offer a broad range of programs, resources, material to meet the diverse needs of those partners and customers. One focus of these programs and enablement models that we offer partners, is to help our partners build their products and build their business with us. And the other focus is to create program structures that help customers find the right partner and the right solution at the right time. But we recognize it's a lot (chuckles) and we want to make sure that our partners are easily able to find what's most relevant to them. And to deliver this more effectively for ISV partners specifically, Doug just announced the launch of ISV Partner Path. As with everything we do at AWS, this new program structure works backwards from our customers and our partners to deliver the needs of both of those audiences. When a customer identifies a need for a solution, they search for that solution based on their business needs and the outcomes that they're looking to deliver rather than searching based on a partner profile. So ISV Partner Path pivots the focus that we have today on partner-level tier badging to instead focus on solution-level validation badging that helps us better align to what our customers are looking for and how they look for software products. The new model responds to that partner and customer feedback that we've heard, it removes APN tier requirements for ISVs and introduces the ability to engage across all of the products, services, and solutions that a partner offers and it pivots the partner badge attainment. So today our partners attain badging based on a tier and moving forward, they'll attain that badging to go to market with solutions that are validated and have gone through a technical assessment to either integrate effectively or run effectively on AWS. So if you were requirements to access APN programs from differentiation to funding and co-selling, partners can engage more quickly in a more meaningful way and in a more clear path to develop their solution offering and go to market with AWS. >> Ryan anything you want to add on in terms of structural support in terms of account management and does everyone get in on a wrap? Is there certain levels of attention? When does that come into play? >> Yeah, I think Barbara has made a great point in that we have a lot of great programmatic resources, but there's also no substitution for engagement with a person. And we have Partner Development Resources available to engage with our partners and help them develop their individualized plans that help them understand how they maximize the opportunity with their customer set and expand their customer sets. This starts as soon as a partner registers with the AWS Partner Network, they're contacted by a Partner Development team member within the first business day. This is a commitment we find incredibly important to the partner. And even when we have five or more new partners registering every single day. We look to go beyond that and it's not just about onboarding to your point John, our partner team works backwards from the customer and the partner to help develop what is that joint plan? How do we focus on what strategic to the partner and what becomes strategic to our customers? With that plan our team works to activate that broadly across the team in support of achieving our joint goals. And then naturally all partnerships, we want join accountability, we want mechanisms to measure success. >> You know I talked to a lot of channel partners over the years in my career, and the Cloud it really highlights the speed and the agility feature, but it all comes down to the same thing. I want to get my solution in front of the customer, I want to make money, I want to make it easy to use, make it easy to consume. I want to leverage the Cloud. This is kind of the process, this is how it always happens. This is what they want and you guys are bringing a lot to the table and that's important. And I think co-selling having the kind of support, making it consumable is easy and super great. So I have to ask you with that, what's your advice for people who are jumping in? Because you're seeing more on boarding of ISVs than ever before. And we've been commenting on theCUBE for multiple years. We've been seeing the uptick in software SaaS ISVs. And remember Amazon is not in the SaaS business a hundred percent. And government just collapsed the platform as a service in the IS categories that highlights the fact that your entire ISV landscape is wide open and growing. So there's new ISV is coming in. (chuckles) What advice would you give them to get started, experience and -- >> Yeah, I can take that. >> Yeah. >> Yeah, I can take that one thank you. And I actually want to build on something Ryan said, we actually have more than 50 new partners joining the AWS Partner Network every single day. And so having the right structure for those partners to easily navigate and the right resources for them is something that's very top of mind for us. I think I can distill down about two primary pieces of advice from my perspective for a new partner who's trying to figure out how to work with us and get involved. First and foremost, build a relationship with your Partner Manager, help them know and understand your business, the customers that you focus on, the solutions you provide. The Partner Manager is your advocate and could be your mentor in working with AWS. Make sure they know what you're good at. Partners are able to build the best traction with our shared customers and our AWS sales team when it's very clear what they're good at and how their solutions solve specific customer problems. And specialization through programs such as competency, which validate solutions based on industry in this case or workload is really key to helping communicate that specific value. And second, I would say avail yourself of the resources available to you. We offer a number of self-serve resources, such as the new ISV Navigate Track that is launching in conjunction with ISV Partner Path that provides individuals the sort of step by step guidance to move through that engagement with us, they connect them to all the resources that they need. Marketing Central which we discussed earlier to drive marketing campaigns that can be very self-served and driven by the Partner Central, which offers a wealth of content, white papers, et cetera. That's our portal through which partners engage. And you can also access things like training and certification discounts to build your Cloud skills to support your business. But I think both of those are really important things to keep in mind for partners who are just kind of getting started with us as well as partners who've been working with us for a while now. >> Ryan, what do you want to add to that because again, there's more ISVs is coming. And again, Amazon has been very disruptive in it's enablement of partners. Not everyone fits into a nice clean bucket. I mean what looks like a category might be old and being disrupted into to a new category being developed. All these new categories and new solutions. It's hard to put people into buckets. So you have a tough job, how do you give advice to your partners? >> It is tough, and the rate of transformation continues. And the rate of innovation continues to quicken. My advice is lean in with us. We continue to invest our efforts in developing this vibrant community of partners. So lean in, we'll continue to iterate around and optimize our joint plans and activities. And we'd look to be able to continue to drive success for our customers and our partners. >> Well, you guys do a great job. I want to say I've watched the APN grow and change and evolve. Market demand is there and you got the Factory, you got the Boost, you got the Lenses, you got the Partner Network, the people. It's people equation with software so congratulations. Thanks for coming on theCUBE. >> Thank you so much, appreciate the time. >> Thank you. >> Okay, great event here, re:Invent 2020 Virtual. This is theCUBE Virtual. I'm John Furrier your host, wall-to-wall coverage with theCUBE, thanks for watching. (gentle music)

>> Voiceover: From around the globe, it's theCUBE, with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Global Partner Network. >> Hello and welcome to theCUBE virtual and our coverage at AWS re:Invent 2020, with special coverage of the APN Partner Experience. I'm your host Rebecca Knight. Today we are joined by Rachel Rose. She is the head of global AWS programs. Thank you so much for coming on the show, Rachel >> Thanks, Rebecca. So excited to be here. >> Well, we're delighted to have you so we just heard Sandy's keynote address, and we know that AWS has announced a number of new partner programs, including AWS competencies and service validations. Why don't you start by telling our viewers a little bit more about these? >> Sure. It couldn't be more of an exciting time for our partner community. We've made a number of key global announcements today. What you just heard from Sandy. So that includes the launch of two new AWS competency programs. We have the travel and hospitality competency, as well as the public safety and disaster response competency. Additionally, we announced changes to our top performing service delivery program, the Amazon RDS service delivery. >> So tell us exactly what is an AWS competency? What is it? What does it bring to partners and customers? >> Yes, of course. The competency program is designed to highlight and promote our top partners, based on their proven technical and customer success in key specialized areas. We focus on industries, workloads, as well as key use cases. It benefits our customers by providing them with a short list of highly vetted and trusted partners to work with based on whatever their needs may be. So for example, if you're a customer looking for a HIPAA compliant partner out of Japan, the competency program can help you. It's all about saving time for our customers. No more searching for partners for hours on end, we do all that work for you. And one additional note I'll make on competencies is that, Rebecca, this isn't a new program for us at AWS. We've been designing and iterating on these programs for years. Adding new designations, new use cases, as well as evolving our existing programs, all based on customer feedback. We're thrilled to announce these new programs today and hope you'll check out the travel and hospitality, as well as the public safety and disaster response competency. >> So we're going to dig into those a little bit later, but tell our viewers a little bit more about the two competencies that were launched today. >> Yes, Rebecca, and as I mentioned, we've launched two new competencies. We have first, the travel and hospitality competency, which launched today with 27 of our top global ISVs and consulting partners. These partners are experts at helping our customers accelerate their modernization and innovation journeys to building a resilient business for the long run. Everything from the behind the scenes, operational efficiencies, as well as guest facing customer experiences. And then the public safety and disaster response competency, which highlights our top ISV partners that build products on AWS to help our customers prepare, respond and recover from these natural and man-made disasters. We launched today with 16 top global ISVs today. >> So I want to ask you a little bit about why now. Put this into context for our viewers. We know that the world is gripped by the devastating COVID-19 pandemic. Why launch these two competencies now? >> Great question. For travel and hospitality, there's really very few industries that face a technology environment as complex and mission critical, especially given the state of the world that we're in right now with the pandemic. It's an ongoing challenge for us to hire and retain that domain expertise in-house, leading a growing demand for experienced on demand resources. Our partner community has responded so quickly here, working with our joint customers to charter a smart digital way forward. It's why the majority of our Fortune 500 companies, and over 90% of our Fortune 100 already utilize AWS Partner Solutions and Services. For public safety and disaster response, it's a direct response to the economic law caused by these natural and man-made disasters. 2020 was an unprecedented year for so many reasons, but especially in terms of disaster and public safety event. And at AWS, we're committed to helping our first responders, our public safety agencies, and our disaster response organizations by mitigating the impact affected by these communities. Through this competency, we can differentiate our top most highly vetted partners giving our customers an easy way to find businesses that offer trusted and specialized services, tailored to meet their mission critical needs. >> Well, it certainly sounds like something the world needs now, Rachel. You've also mentioned updates to one of your service validation programs. Can you tell our viewers a little bit more about that? >> Yes. Based on customer feedback, we've made significant updates to the Amazon RDS service delivery program. This program is designed to highlight our top partners that implement and migrate customers to Amazon RDS. Based on the increased demand we've seen for purpose-built databases, we've made changes to the Amazon RDS delivery program by adding in validation that's actually based on that individual engine type, like Amazon Aurora MySQL or Amazon RDS for Oracle. This allows our customers to identify an Amazon RDS partner with demonstrated success delivering Amazon RDS solutions for specific database engine. >> What were some of the partners that were announced today? >> Our partner capability ranges across the board, and we feel really honored to work with such interesting partners that are delivering on behalf of our customers every single day. You know, one example, OneBlood, which is the third largest blood bank, engaged our public safety and disaster response competency launch partner, Solodev to help evolve the digital customer experience for their donors. By leveraging AWS auto-scaling technologies, OneBlood was able to rapidly provision additional servers to meet the high demand in the face of a massive national emergency. As a result, their website never went down and willing donors were able to connect with the right information just in time. Another really interesting partner story is thanks to Elenium Automation. They're a travel and hospitality competency launch partner, they're based out of Australia, and they helped Etihad Airways become the first airline to trial contactless technology, which helps monitor the temperature, heart rate and respiratory rate of any person using any airport and touch points. I mean, how cool is that? >> It's very cool. So if there are partners who are watching this who are interested in learning more, what should they do? Where should they go? >> Yeah, there's so many great resources. So I'll start with our customers. Our customers that are looking for these highly vetted, trusted partners can go to our AWS Partner Solutions Finder, filter by expertise, and you can find the right partner that you need at any time. For our partners that want to learn more about how to engage with these programs, they can visit our APN webpage or our competency webpage. >> So finally, I want you to close this out here and look into your crystal ball and think about the next 12 to 24 months. What would you say to your partners? You are the head of partner experience. Can you talk a little bit about a sneak peek for what partners can experience in the next year and the year after? >> We've been collecting mountains of customer feedback, and it's really what's critical in order for us to build out what that roadmap looks like for us in 2021. So some of the top requests that we continue to see from our customers are revolved around energy. So I think you can expect to see an energy competent (mumbles) in 2021, as well as adding a mainframe category to our migration competency. We're also going to continue to evolve our service validation program. So you've heard me talk a little bit about RDS earlier. We're going to continue to evolve that program as well by adding business applications as a new category. So I think that's just a tiny little sneak peek onto what the team's working on, but we're definitely focused on collecting customer feedback in order to ensure we have the right roadmap ahead of us. >> Exciting times ahead. Thank you so much, Rachel Rose, the head of global AWS Partner Programs. Thanks so much for coming on the show. >> Thank you, Rebecca. Appreciate the time. >> And thank you for tuning in to theCUBE virtuals coverage of AWS re:Invent 2020. I'm Rebecca Knight, stay tuned. (soft music)

>> Announcer: From around the globe, it's theCUBE. With digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS global partner network. >> Okay, welcome back everyone to theCUBE virtual coverage of re:Invent 2020 virtual. Normally we're in person, this year because of the pandemic we're doing remote interviews and we've got a great coverage here of the APN, Amazon Partner Network experience. I'm your host John Furrier, we are theCUBE virtual. Got a great guest from Tel Aviv remotely calling in and videoing, Nimrod Vax, who is the chief product officer and co-founder of BigID. This is the beautiful thing about remote, you're in Tel Aviv, I'm in Palo Alto, great to see you. We're not in person but thanks for coming on. >> Thank you. Great to see you as well. >> So you guys have had a lot of success at BigID, I've noticed a lot of awards, startup to watch, company to watch, kind of a good market opportunity data, data at scale, identification, as the web evolves beyond web presence identification, authentication is super important. You guys are called BigID. What's the purpose of the company? Why do you exist? What's the value proposition? >> So first of all, best startup to work at based on Glassdoor worldwide, so that's a big achievement too. So look, four years ago we started BigID when we realized that there is a gap in the market between the new demands from organizations in terms of how to protect their personal and sensitive information that they collect about their customers, their employees. The regulations were becoming more strict but the tools that were out there, to the large extent still are there, were not providing to those requirements and organizations have to deal with some of those challenges in manual processes, right? For example, the right to be forgotten. Organizations need to be able to find and delete a person's data if they want to be deleted. That's based on GDPR and later on even CCPA. And organizations have no way of doing it because the tools that were available could not tell them whose data it is that they found. The tools were very siloed. They were looking at either unstructured data and file shares or windows and so forth, or they were looking at databases, there was nothing for Big Data, there was nothing for cloud business applications. And so we identified that there is a gap here and we addressed it by building BigID basically to address those challenges. >> That's great, great stuff. And I remember four years ago when I was banging on the table and saying, you know regulation can stunt innovation because you had the confluence of massive platform shifts combined with the business pressure from society. That's not stopping and it's continuing today. You seeing it globally, whether it's fake news in journalism, to privacy concerns where modern applications, this is not going away. You guys have a great market opportunity. What is the product? What is smallID? What do you guys got right now? How do customers maintain the success as the ground continues to shift under them as platforms become more prevalent, more tools, more platforms, more everything? >> So, I'll start with BigID. What is BigID? So BigID really helps organizations better manage and protect the data that they own. And it does that by connecting to everything you have around structured databases and unstructured file shares, big data, cloud storage, business applications and then providing very deep insight into that data. Cataloging all the data, so you know what data you have where and classifying it so you know what type of data you have. Plus you're analyzing the data to find similar and duplicate data and then correlating them to an identity. Very strong, very broad solution fit for IT organization. We have some of the largest organizations out there, the biggest retailers, the biggest financial services organizations, manufacturing and et cetera. What we are seeing is that there are, with the adoption of cloud and business success obviously of AWS, that there are a lot of organizations that are not as big, that don't have an IT organization, that have a very well functioning DevOps organization but still have a very big footprint in Amazon and in other kind of cloud services. And they want to get visibility and they want to do it quickly. And the SmallID is really built for that. SmallID is a lightweight version of BigID that is cloud-native built for your AWS environment. And what it means is that you can quickly install it using CloudFormation templates straight from the AWS marketplace. Quickly stand up an environment that can scan, discover your assets in your account automatically and give you immediate visibility into that, your S3 bucket, into your DynamoDB environments, into your EMR clusters, into your Athena databases and immediately building a full catalog of all the data, so you know what files you have where, you know where what tables, what technical metadata, operational metadata, business metadata and also classified data information. So you know where you have sensitive information and you can immediately address that and apply controls to that information. >> So this is data discovery. So the use case is, I'm an Amazon partner, I mean we use theCUBE virtuals on Amazon, but let's just say hypothetically, we're growing like crazy. Got S3 buckets over here secure, encrypted and the rest, all that stuff. Things are happening, we're growing like a weed. Do we just deploy smallIDs and how it works? Is that use cases, SmallID is for AWS and BigID for everything else or? >> You can start small with SmallID, you get the visibility you need, you can leverage the automation of AWS so that you automatically discover those data sources, connect to them and get visibility. And you could grow into BigID using the same deployment inside AWS. You don't have to switch migrate and you use the same container cluster that is running inside your account and automatically scale it up and then connect to other systems or benefit from the more advanced capabilities the BigID can offer such as correlation, by connecting to maybe your Salesforce, CRM system and getting the ability to correlate to your customer data and understand also whose data it is that you're storing. Connecting to your on-premise mainframe, with the same deployment connecting to your Google Drive or office 365. But the point is that with the smallID you can really start quickly, small with a very small team and get that visibility very quickly. >> Nimrod, I want to ask you a question. What is the definition of cloud native data discovery? What does that mean to you? >> So cloud native means that it leverages all the benefits of the cloud. Like it gets all of the automation and visibility that you get in a cloud environment versus any traditional on-prem environment. So one thing is that BigID is installed directly from your marketplace. So you could browse, find its solution on the AWS marketplace and purchase it. It gets deployed using CloudFormation templates very easily and very quickly. It runs on a elastic container service so that once it runs you can automatically scale it up and down to increase the scan and the scale capabilities of the solution. It connects automatically behind the scenes into the security hub of AWS. So you get those alerts, the policy alerts fed into your security hub. It has integration also directly into the native logging capabilities of AWS. So your existing Datadog or whatever you're using for monitoring can plug into it automatically. That's what we mean by cloud native. >> And if you're cloud native you got to be positioned to take advantage of the data and machine learning in particular. Can you expand on the role of machine learning in your solution? Customers are leaning in heavily this year, you're seeing more uptake on machine learning which is basically AI, AI is machine learning, but it's all tied together. ML is big on all the deployments. Can you share your thoughts? >> Yeah, absolutely. So data discovery is a very tough problem and it has been around for 20 years. And the traditional methods of classifying the data or understanding what type of data you have has been, you're looking at the pattern of the data. Typically regular expressions or types of kind of pattern-matching techniques that look at the data. But sometimes in order to know what is personal or what is sensitive it's not enough to look at the pattern of the data. How do you distinguish between a date of birth and any other date. Date of birth is much more sensitive. How do you find country of residency or how do you identify even a first name from the last name? So for that, you need more advanced, more sophisticated capabilities that go beyond just pattern matching. And BigID has a variety of those techniques, we call that discovery-in-depth. What it means is that very similar to security-in-depth where you can not rely on a single security control to protect your environment, you can not rely on a single discovery method to truly classify the data. So yes, we have regular expression, that's the table state basic capability of data classification but if you want to find data that is more contextual like a first name, last name, even a phone number and distinguish between a phone number and just a sequence of numbers, you need more contextual NLP based discovery, name entity recognition. We're using (indistinct) to extract and find data contextually. We also apply deep learning, CNN capable, it's called CNN, which is basically deep learning in order to identify and classify document types. Which is basically being able to distinguish between a resume and a application form. Finding financial records, finding medical records. So RA are advanced NLP classifiers can find that type of data. The more advanced capabilities that go beyond the smallID into BigID also include cluster analysis which is an unsupervised machine learning method of finding duplicate and similar data correlation and other techniques that are more contextual and need to use machine learning for that. >> Yeah, and unsupervised that's a lot harder than supervised. You need to have that ability to get that what you can't see. You got to get the blind spots identified and that's really the key observational data you need. This brings up the kind of operational you heard cluster, I hear governance security you mentioned earlier GDPR, this is an operational impact. Can you talk about how it impacts on specifically on the privacy protection and governance side because certainly I get the clustering side of it, operationally just great. Everyone needs to get that. But now on the business model side, this is where people are spending a lot of time scared and worried actually. What the hell to do? >> One of the things that we realized very early on when we started with BigID is that everybody needs a discovery. You need discovery and we actually started with privacy. You need discovery in route to map your data and apply the privacy controls. You need discovery for security, like we said, right? Find and identify sensitive data and apply controls. And you also need discovery for data enablement. You want to discover the data, you want to enable it, to govern it, to make it accessible to the other parts of your business. So discovery is really a foundation and starting point and that you get there with smallID. How do you operationalize that? So BigID has the concept of an application framework. Think about it like an Apple store for data discovery where you can run applications inside your kind of discovery iPhone in order to run specific (indistinct) use cases. So, how do you operationalize privacy use cases? We have applications for privacy use cases like subject access requests and data rights fulfillment, right? Under the CCPA, you have the right to request your data, what data is being stored about you. BigID can help you find all that data in the catalog that after we scan and find that information we can find any individual data. We have an application also in the privacy space for consent governance right under CCP. And you have the right to opt out. If you opt out, your data cannot be sold, cannot be used. How do you enforce that? How do you make sure that if someone opted out, that person's data is not being pumped into Glue, into some other system for analytics, into Redshift or Snowflake? BigID can identify a specific person's data and make sure that it's not being used for analytics and alert if there is a violation. So that's just an example of how you operationalize this knowledge for privacy. And we have more examples also for data enablement and data management. >> There's so much headroom opportunity to build out new functionality, make it programmable. I really appreciate what you guys are doing, totally needed in the industry. I could just see endless opportunities to make this operationally scalable, more programmable, once you kind of get the foundation out there. So congratulations, Nimrod and the whole team. The question I want to ask you, we're here at re:Invent's virtual, three weeks we're here covering Cube action, check out theCUBE experience zone, the partner experience. What is the difference between BigID and say Amazon's Macy? Let's think about that. So how do you compare and contrast, in Amazon they say we love partnering, but we promote our ecosystem. You guys sure have a similar thing. What's the difference? >> There's a big difference. Yes, there is some overlap because both a smallID and Macy can classify data in S3 buckets. And Macy does a pretty good job at it, right? I'm not arguing about it. But smallID is not only about scanning for sensitive data in S3. It also scans anything else you have in your AWS environment, like DynamoDB, like EMR, like Athena. We're also adding Redshift soon, Glue and other rare data sources as well. And it's not only about identifying and alerting on sensitive data, it's about building full catalog (indistinct) It's about giving you almost like a full registry of your data in AWS, where you can look up any type of data and see where it's found across structured, unstructured big data repositories that you're handling inside your AWS environment. So it's broader than just for security. Apart from the fact that they're used for privacy, I would say the biggest value of it is by building that catalog and making it accessible for data enablement, enabling your data across the board for other use cases, for analytics in Redshift, for Glue, for data integrations, for various other purposes. We have also integration into Kinesis to be able to scan and let you know which topics, use what type of data. So it's really a very, very robust full-blown catalog of the data that across the board that is dynamic. And also like you mentioned, accessible to APIs. Very much like the AWS tradition. >> Yeah, great stuff. I got to ask you a question while you're here. You're the co-founder and again congratulations on your success. Also the chief product officer of BigID, what's your advice to your colleagues and potentially new friends out there that are watching here? And let's take it from the entrepreneurial perspective. I have an application and I start growing and maybe I have funding, maybe I take a more pragmatic approach versus raising billions of dollars. But as you grow the pressure for AppSec reviews, having all the table stakes features, how do you advise developers or entrepreneurs or even business people, small medium-sized enterprises to prepare? Is there a way, is there a playbook to say, rather than looking back saying, oh, I didn't do with all the things I got to go back and retrofit, get BigID. Is there a playbook that you see that will help companies so they don't get killed with AppSec reviews and privacy compliance reviews? Could be a waste of time. What's your thoughts on all this? >> Well, I think that very early on when we started BigID, and that was our perspective is that we knew that we are a security and privacy company. So we had to take that very seriously upfront and be prepared. Security cannot be an afterthought. It's something that needs to be built in. And from day one we have taken all of the steps that were needed in order to make sure that what we're building is robust and secure. And that includes, obviously applying all of the code and CI/CD tools that are available for testing your code, whether it's (indistinct), these type of tools. Applying and providing, penetration testing and working with best in line kind of pen testing companies and white hat hackers that would look at your code. These are kind of the things that, that's what you get funding for, right? >> Yeah. >> And you need to take advantage of that and use them. And then as soon as we got bigger, we also invested in a very, kind of a very strong CSO that comes from the industry that has a lot of expertise and a lot of credibility. We also have kind of CSO group. So, each step of funding we've used extensively also to make RM kind of security poster a lot more robust and invisible. >> Final question for you. When should someone buy BigID? When should they engage? Is it something that people can just download immediately and integrate? Do you have to have, is the go-to-market kind of a new target the VP level or is it the... How does someone know when to buy you and download it and use the software? Take us through the use case of how customers engage with. >> Yeah, so customers directly have those requirements when they start hitting and having to comply with regulations around privacy and security. So very early on, especially organizations that deal with consumer information, get to a point where they need to be accountable for the data that they store about their customers and they want to be able to know their data and provide the privacy controls they need to their consumers. For our BigID product this typically is a kind of a medium size and up company, and with an IT organization. For smallID, this is a good fit for companies that are much smaller, that operate mostly out of their, their IT is basically their DevOps teams. And once they have more than 10, 20 data sources in AWS, that's where they start losing count of the data that they have and they need to get more visibility and be able to control what data is being stored there. Because very quickly you start losing count of data information, even for an organization like BigID, which isn't a bigger organization, right? We have 200 employees. We are at the point where it's hard to keep track and keep control of all the data that is being stored in all of the different data sources, right? In AWS, in Google Drive, in some of our other sources, right? And that's the point where you need to start thinking about having that visibility. >> Yeah, like all growth plan, dream big, start small and get big. And I think that's a nice pathway. So small gets you going and you lead right into the BigID. Great stuff. Final, final question for you while I gatchu here. Why the awards? Someone's like, hey, BigID is this cool company, love the founder, love the team, love the value proposition, makes a lot of sense. Why all the awards? >> Look, I think one of the things that was compelling about BigID from the beginning is that we did things differently. Our whole approach for personal data discovery is unique. And instead of looking at the data, we started by looking at the identities, the people and finally looking at their data, learning how their data looks like and then searching for that information. So that was a very different approach to the traditional approach of data discovery. And we continue to innovate and to look at those problems from a different perspective so we can offer our customers an alternative to what was done in the past. It's not saying that we don't do the basic stuffs. The Reg X is the connectivity that that is needed. But we always took a slightly different approach to diversify, to offer something slightly different and more comprehensive. And I think that was the thing that really attracted us from the beginning with the RSA Innovation Sandbox award that we won in 2018, the Gartner Cool Vendor award that we received. And later on also the other awards. And I think that's the unique aspect of BigID. >> You know you solve big problems than certainly as needed. We saw this early on and again I don't think that the problem is going to go away anytime soon, platforms are emerging, more tools than ever before that converge into platforms and as the logic changes at the top all of that's moving onto the underground. So, congratulations, great insight. >> Thank you very much. >> Thank you. Thank you for coming on theCUBE. Appreciate it Nimrod. Okay, I'm John Furrier. We are theCUBE virtual here for the partner experience APN virtual. Thanks for watching. (gentle music)

>> Narrator: From around the globe. It's theCUBE with digital coverage of AWS re;Invent 2020 special coverage sponsored by AWS global partner network. >> Welcome to theCUBE. This is our coverage of AWS reinvent 2020 with special coverage of the APN partner experience. I'm Lisa Martin I've got a couple of gentlemen from BMC software joining me. Please welcome Greg Bukowski, the technology solutions director and Simon Blanks, area vice president Gentlemen it's great to have you on theCUBE virtual. >> Great to be here Lisa. >> Representing social distancing from across the country here. So guys, I'd like to just start Greg with you give our audience an understanding of your role technology solutions director your role and responsibilities at BMC. >> Sure I play the role of a field CTO. So I actually am aligned with our strategic CTO office and I bring their message to our customers all of our strategic customers within North America. >> And Simon, tell us a little bit about your role as area vice president. >> Well first of all, thanks for having us I have responsibility for our channels and our partners in the Americas. So I get to work both within our organization with our customers and with our partners to help them grow, to help us grow and deliver value to our customers. >> Speaking of your customers Simon the last year has been incredibly challenging and brought on a lot of challenges but opportunities. Talk to me about how that has impacted BMCs customers. >> That's a great question. You know, I think our customers are wanting to simplify that they're wanting to focus on what makes them win, right and get away from the things that, you know are not the competitive advantage. We see a lot of customers wanting to get out of the day-to-day operation of the data centers and migrate to the world of AWS but it's not as easy as we would all like it there's lots of challenges. AWS consulting partners are there to help them. One of the largest areas of challenges we see that they are having to address is manage these millions of IT assets that are constantly changing and some of them they don't even know exist and moving those to AWS, but moving them quickly, securely and of course, in a cost-effective manner. >> Talk to me a little bit about some of the speed like in the last nine months, have you seen an acceleration of those customers wanting to move workloads to AWS as we think of way back when the pandemic started and every business had to suddenly send workforces home no access to a data center or very limited. Is that something that you've seen speed up the last few months? >> Yeah we believe it's not only gained in velocity but will continue. We don't think that some of these changes to how a business is conducted are going to stop once the vaccine comes out. So yeah and you know the complexity of making this happen, you know it's difficult, especially in some of the very large organizations be it banks or telecoms or manufacturers or retailers you know it's not an easy chore and you know we've experienced some great wins in that area and helping some of our most strategic customers make that happen. >> So talk to me a little bit about Simon, what's your elevator pitch when you're going and i know you talk with customers, you talk with partners how do you describe BMC and what you guys deliver? >> Well BMC is a 40 year old company with 6,000 employees. we help 93% of the global 1000 manage their IT infrastructure right. In addition to that we help thousands of other customers with the same problems. So, you know what I tell organizations is we're there to help them be successful and to make things tick. >> Awesome thank you. So Greg, talk to me about more about the BMC solutions. You said in your role, you're also field CTO. What are some of the BMC solutions that you recommended AWS consulting partners consider to help customers, especially in this time as you're seeing more and more migrations AWS? >> Yeah I think that's a great point, Lisa. I mean, with the pandemic coming in, you know there was an initial pullback right that we saw from our customers and now as that trend, you know as the summer came on, not that it's gotten less, right. I mean obviously it's a big concern for customers but the realization of how they're going to operationalize themselves and still be a tech driven company and tech driven organization has really accelerated their digital transformation and it's driven more than anything the adoption of cloud technologies and to move into that cloud space it's brought about understanding customers how did they become more digital and to do that they have to connect their services. So underlying that challenge is really what we wanted to bring today to talk about is that BMC has an industry leading solution it's called a BMC discovery solution and it automatically goes within an organization's footprint and understands the dependencies between their infrastructure and their applications. That's really difficult, right? Typically we can just find assets, right? A lot of solutions out there can do that. What BMC does or what our solution does. That's unique in this space is that it understands relationships so that you understand from an application viewpoint which ultimately ties back to a business service into the software that runs on those assets into the applications that are supporting that as well as the platforms and infrastructure and that becomes more and more complex to date. What we see with our customers as they have cloud services they've got containers, they've got on-premise stuff. So we're working with customers today, right? We are the largest retailers in the US working with them to actually transform how they're doing business continuity. So it becomes not only an acceleration but a risk aversion program for them as well as a cost savings effort of trying to adopt that understanding those services from both within their data center, through the mainframe back into their cloud, right and understanding all those interdependencies so that they can run their business more efficiently. >> So Greg have you automated what used to be a traditionally manual lengthy process of that discovery. >> I think that is the key point Lisa. I mean when partners look to us for what value we can bring to them it's about accelerating that time all about reducing the time through automation what used to be a manual effort of understanding how these things connect and being able to having go talk to the application teams. We worked with a large bank as well. They were using other solutions in the marketplace and were taking six to nine months to map a single business service which is complex right it's got about a dozen applications that support it. We brought in our solution and they did it in three hours with one piece of information from an application team. It was unbelievable, right and these are the stories we hear all the time from our customers and this is a great solution that we have that runs in AWS. That's part of our AWS migration competency that we have and you know this is why we're here today on theCUBE. >> Well that speed improvement is massive as you just talked about Greg you know, when you think of organizations now that there is no time, there is no six to nine months to figure things out anymore right. Especially because we've all learned, I think a lot in the last nine months, professionally and personally but there's competition out there. That's ready to come and be nimble and faster and maybe with less legacy than any type of whether it's a retailer or a financial institution. So being able to get in there and discover and align this business and IT services folks to discover what they have, where they should move it that fast is really something that sounds to me like not just a survival mechanism, keeping the lights on during a strange time, but something that may even set apart the winners and the losers of tomorrow. >> Absolutely right. I mean you have to be able to tie into your existing infrastructure for print that traditional legacy or heritage as we call it for print that you have, that still runs your core business. Right, if you're a retailer it's probably some kind of supply chain rate If you're a bank it's all the financial transaction stuff that you do but then also adopt the technology and innovation that exists within the fintech space for a financial services customer and bringing that together and when you're doing that at the native integration point a lot of it comes into the cloud services, right and that's really where they're going to get the acceleration to attack new markets grow their margin in that space and that's where they need partners to help them. To adopt and learn those technologies and integrate those additionally, right we have other advanced capabilities that we offer from an AWS migration competency standpoint around cloud optimization. So when those services are running in there we also do a cost optimization that doesn't look at it from the infrastructure standpoint but actually it takes the same discovery data and lines it back to the lines of business. So the line of business now has visibility into if they're going to change what their operating model is how that's going to affect the cost in the backend services they can optimize their resources. >> So Simon looking at the capabilities that BMC is delivering. Talk to me about the BMC partner program. Why become a BMC partner? I think there's a couple of answers to that. First of all, what Greg was talking about in terms of this you know massive I'll call it reinvention of the amount of time it takes to perform some of these tasks. Some of these tasks that are done in every migration from you know months to days or hours that in and of itself can help the AWS consulting partners massively you know in their efforts. So that's one but I think more importantly than that is the culture of BMC and the importance of partners and the focus that it's getting whether or not it be from our board or CEO or down the management rank. So the channel has become massively important to our success and we're committed to helping our partners be successful right, we're committing to help them make money, right. We're actually, as a part of AWS re;Invent here were going to offer an incentive to partners to come and join our family. Traditionally there's enablement and costs associated with that and we're going to refund that cost. Plus we're going to invest our monies and refund any costs associated with the first co-marketing effort together that we can go out to the market and help them. So I think you know, it's sort of the three legs of the stool. The technology itself is you know, impressive the commitment of our leadership and we're also willing to make it you know, very economically attractive so that would be the reasons >> Everybody likes that, especially economically attractive. So in terms of what you're offering you said that around re;Invent with respect to interested perspective partners, how do they move forward with BMC to become an AWS consulting partner? What's that process like? >> Well, we have you know an onboarding team that Susan DuRoff she reports in to me and helps me with that process. But the best way to do it would be to contact me directly. My email address is simon_blanks@bmc.com and if you reach out to me directly, I'll make sure we get back to you promptly. We can have further discussions and you know, facilitate it and we really look forward to making that happen. >> That's pretty excellent personal service I like that. So Greg talk to me as we get towards the wrap here as field CTO, looking forward into 2021 which we all hope is going to be trim significantly better than 2020. What are some of the opportunities that you see that this time has uncovered for the IT folks and the business folks to get even stronger alignment? >> Yeah, I think this is a great opportunity for customers to realize that bringing together the IT organizations in alignment with their business organizations is a great opportunity from the Revolut to accelerate their adoption of technology accelerate their migrations into adoption of cloud services. But then also look for the opportunities to take advantage of, to grow revenue streams. Right I mean, challenges present opportunities and opportunities present growth, right? That's how customers grow when they recognize those opportunities and become agile enough to adopt them and go after them. >> That's a great mindset because it's absolutely true. It's not matter of how we look at it and look at what's being uncovered to then kind of exploit for good new products, new services, competitive differentiators all sorts of things going on. Well gentlemen, it's been a pleasure having you on theCUBE virtual today. Thank you for joining me. >> Thank you so much appreciate the time and thank you. >> All right. For my guests. I'm Lisa Martin. You're watching theCUBE. (upbeat music)

>> Narrator: From around the globe it's theCUBE, with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS Global Partner Network. >> Hello and welcome to theCUBE Virtual and our coverage of AWS re:Invent 2020 with special coverage of APN partner experience. We are theCUBE Virtual and I'm your host, Justin Warren. And today I'm joined by Ed Walsh, CEO of ChaosSearch. Ed, welcome to theCUBE. >> Well thank you for having me, I really appreciate it. >> Now, this is not your first time here on theCUBE. You're a regular here and I've loved it to have you back. >> I love the platform you guys are great. >> So let's start off by just reminding people about what ChaosSearch is and what do you do there? >> Sure, the best way to say is so ChaosSearch helps our clients know better. We don't do that by a special wizard or a widget that you give to your, you know, SecOp teams. What we do is a hard work to give you a data platform to get insights at scale. And we do that also by achieving the promise of data lakes. So what we have is a Chaos data platform, connects and indexes data in a customer's S3 or glacier accounts. So inside your data lake, not our data lake but renders that data fully searchable and available for analysis using your existing tools today 'cause what we do is index it and publish open API, it's like API like Elasticsearch API, and soon SQL. So give you an example. So based upon those capabilities were an ideal replacement for a commonly deployed, either Elasticsearch or ELK Stack deployments, if you're hitting scale issues. So we talk about scalable log analytics, and more and more people are hitting these scale issues. So let's say if you're using Elasticsearch ELK or Amazon Elasticsearch, and you're hitting scale issues, what I mean by that is like, you can't keep enough retention. You want longer retention, or it's getting very expensive to keep that retention, or because the scale you hit where you have availability, where the cluster is hard to keep up running or is crashing. That's what we mean by the issues at scale. And what we do is simply we allow you, because we're publishing the open API of Elasticsearch use all your tools, but we save you about 80% off your monthly bill. We also give you an, and it's an and statement and give you unlimited retention. And as much as you want to keep on S3 or into Glacier but we also take care of all the hassles and management and the time to manage these clusters, which ends up being on a database server called leucine. And we take care of that as a managed service. And probably the biggest thing is all of this without changing anything your end users are using. So we include Kibana, but imagine it's an Elastic API. So if you're using API or Kibana, it's just easy to use the exact same tools used today, but you get the benefits of a true data lake. In fact, we're running now Elasticsearch on top of S3 natively. If that makes it sense. >> Right and natively is pretty cool. And look, 80% savings, is a dramatic number, particularly this year. I think there's a lot of people who are looking to save a few quid. So it'd be very nice to be able to save up to 80%. I am curious as to how you're able to achieve that kind of saving though. >> Yeah, you won't be the first person to ask me that. So listen, Elastic came around, it was, you know we had Splunk and we also have a lot of Splunk clients, but Elastic was a more cost effective solution open source to go after it. But what happens is, especially at scale, if it's fall it's actually very cost-effective. But underneath last six tech ELK Stack is a leucine database, it's a database technology. And that sits on our servers that are heavy memory count CPU count in and SSDs. So you can do on-prem or even in the clouds, so if you do an Amazon, basically you're spinning up a server and it stays up, it doesn't spin up, spin down. So those clusters are not one server, it's a cluster of those servers. And typically if you have any scale you're actually having multiple clusters because you don't dare put it on one, for different use cases. So our savings are actually you no longer need those servers to spin up and you don't need to pay for those seen underneath. You can still use Kibana under API but literally it's $80 off your bill that you're paying for your service now, and it's hard dollars. So it's not... And we typically see clients between 70 and 80%. It's up to 80, but it's literally right within a 10% margin that you're saving a lot of money, but more importantly, saving money is a great thing. But now you have one unified data lake that you can have. You used to go across some of the data or all the data through the role-based access. You can give different people. Like we've seen people who say, hey give that, help that person 40 days of this data. But the SecOp up team gets to see across all the different law. You know, all the machine generated data they have. And we can give you a couple of examples of that and walk you through how people deploy if you want. >> I'm always keen to hear specific examples of how customers are doing things. And it's nice that you've thought of drawn that comparison there around what what cloud is good for and what it isn't is. I'll often like to say that AWS is cheap to fail in, but expensive to succeed. So when people are actually succeeding with this and using this, this broad amount of data so what you're saying there with that savings I've actually got access to a lot more data that I can do things with. So yeah, if you could walk through a couple of examples of what people are doing with this increased amount of data that they have access to in EKL Search, what are some of the things that people are now able to unlock with that data? >> Well, literally it's always good for a customer size so we can go through and we go through it however it might want, Kleiner, Blackboard, Alert Logic, Armor Security, HubSpot. Maybe I'll start with HubSpot. One of our good clients, they were doing some Cloud Flare data that was one of their clusters they were using a lot to search for. But they were looking at to look at a denial service. And they were, we find everyone kind of at scale, they get limited. So they were down to five days retention. Why? Well, it's not that they meant to but basically they couldn't cost-effectively handle that in the scale. And also they're having scale issues with the environment, how they set the cluster and sharding. And when they also denial service tech, what happened that's when the influx of data that is one thing about scale is how fast it comes out, yet another one is how much data you have. But this is as the data was coming after them at denial service, that's when the cluster would actually go down believe it or not, you know right. When you need your log analysis tools. So what we did is because they're just using Kibana, it was easy swap. They ran in parallel because we published the open API but we took them from five days to nine days. They could keep as much as they want but nine days for denial services is what they wanted. And then we did save them in over $4 million a year in hard dollars, What they're paying in their environment from really is the savings on the server farm and a little bit on the Elasticsearch Stack. But more importantly, they had no outages since. Now here's the thing. Are you talking about the use case? They also had other clusters and you find everyone does it. They don't dare put it on one cluster, even though these are not one server, they're multiple servers. So the next use case for CloudFlare was one, the next QS and it was a 10 terabyte a day influx kept it for 90 days. So it's about a petabyte. They brought another use case on which was NetMon, again, Network Monitoring. And again, I'm having the same scale issue, retention area. And what they're able to do is easily roll that on. So that's one data platform. Now they're adding the next one. They have about four different use cases and it's just different clusters able to bring together. But now what they're able to do give you use cases either they getting more cost effective, more stability and freedom. We say saves you a lot of time, cost and complexity. Just the time they manage that get the data in the complexities around it. And then the cost is easy to kind of quantify but they've got better but more importantly now for particular teams they only need their access to one data but the SecOP team wants to see across all the data. And it's very easy for them to see across all the data where before it was impossible to do. So now they have multiple large use cases streaming at them. And what I love about that particular case is at one point they were just trying to test our scale. So they started tossing more things at it, right. To see if they could kind of break us. So they spiked us up to 30 terabytes a day which is for Elastic would even 10 terabytes a day makes things fall over. Now, if you think of what they just did, what were doing is literally three steps, put your data in S3 and as fast as you can, don't modify, just put it there. Once it's there three steps connect to us, you give us readability access to those buckets and a place to write the indexy. All of that stuff is in your S3, it never comes out. And then basically you set up, do you want to do live or do you want to do real time analysis? Or do you want to go after old data? We do the rest, we ingest, we normalize the schema. And basically we give you our back and the refinery to give the right people access. So what they did is they basically throw a whole bunch of stuff at it. They were trying to outrun S3. So, you know, we're on shoulders of giants. You know, if you think about our platform for clients what's a better dental like than S3. You're not going to get a better cross curve, right? You're not going to get a better parallelism. And so, or security it's in your, you know a virtual environment. But if you... And also you can keep data in the right location. So Blackboard's a good example. They need to keep that in all the different regions and because it's personal data, they, you know, GDPR they got to keep data in that location. It's easy, we just put compute in each one of the different areas they are. But the net net is if you think that architecture is shoulders of giants if you think you can outrun by just sheer volume or you can put in more cost-effective place to keep long-term or you think you can out store you have so much data that S3 and glacier can't possibly do it. Then you got me at your bigger scale at me but that's the scale we'r&e talking about. So if you think about the spiked our throughput what they really did is they try to outrun S3. And we didn't pick up. Now, the next thing is they tossed a bunch of users at us which were just spinning up in our data fabric different ways to do the indexing, to keep up with it. And new use cases in case they're going after everyone gets their own worker nodes which are all expected to fail in place. So again, they did some of that but really they're like you guys handled all the influx. And if you think about it, it's the shoulders of giants being on top of an Amazon platform, which is amazing. You're not going to get a more cost effective data lake in the world, and it's continuing to fall in price. And it's a cost curve, like no other, but also all that resiliency, all that security and the parallelism you can get, out of an S3 Glacier is just a bar none is the most scalable environment, you can build an environment. And what we do is a thin layer. It's a data platform that allows you to have your data now fully searchable and queryable using your tools >> Right and you, you mentioned there that, I mean you're running in AWS, which has broad experience in doing these sorts of things at scale but on that operational management side of things. As you mentioned, you actually take that off, off the hands of customers so that you run it on their behalf. What are some of the areas that you see people making in trying to do this themselves, when you've gone into customers, and brought it into the EKL Search platform? >> Yeah, so either people are just trying their best to build out clusters of Elasticsearch or they're going to services like Logz.io, Sumo Logic or Amazon Elasticsearch services. And those are all basically on the same ELK Stack. So they have the exact same limits as the same bits. Then we see people trying to say, well I really want to go to a data lake. I want to get away from these database servers and which have their limits. I want to use a data Lake. And then we see a lot of people putting data into environments before they, instead of using Elasticsearch, they want to use SQL type tools. And what they do is they put it into a Parquet or Presto form. It's a Presto dialect, but it into Parquet and structure it. And they go a lot of other way to, Hey it's in the data lake, but they end up building these little islands inside their data lake. And it's a lot of time to transform the data, to get it in a format that you can go after our tools. And then what we do is we don't make you do that. Just literally put the data there. And then what we do is we do the index and a polish API. So right now it's Elasticsearch in a very short time we'll publish Presto or the SQL dialect. You can use the same tool. So we do see people, either brute forcing and trying their best with a bunch of physical servers. We do see another group that says, you know, I want to go use an Athena use cases, or I want to use a there's a whole bunch of different startups saying, I do data lake or data lake houses. But they are, what they really do is force you to put things in the structure before you get insight. True data lake economics is literally just put it there, and use your tools natively to go after it. And that's where we're unique compared to what we see from our competition. >> Hmm, so with people who have moved into ChaosSearch, what's, let's say pick one, if you can, the most interesting example of what people have started to do with, with their data. What's new? >> That's good. Well, I'll give you another one. And so Armor Security is a good one. So Armor Security is a security service company. You know, thousands of clients doing great I mean a beautiful platform, beautiful business. And they won Rackspace as a partner. So now imagine thousand clients, but now, you know massive scale that to keep up with. So that would be an example but another example where we were able to come in and they were facing a major upgrade of their environment just to keep up, and they expose actually to their customers is how their customers do logging analytics. What we're able to do is literally simply because they didn't go below the API they use the exact same tools that are on top and in 30 days replaced that use case, save them tremendous amount of dollars. But now they're able to go back and have unlimited retention. They used to restrict their clients to 14 days. Now they have an opportunity to do a bunch of different things, and possible revenue opportunities and other. But allow them to look at their business differently and free up their team to do other things. And now they're, they're putting billing and other things into the same environment with us because one is easy it's scale but also freed up their team. No one has enough team to do things. And then the biggest thing is what people do interesting with our product is actually in their own tools. So, you know, we talk about Kibana when we do SQL again we talk about Looker and Tableau and Power BI, you know, the really interesting thing, and we think we did the hard work on the data layer which you can say is, you know I can about all the ways you consolidate the performance. Now, what becomes really interesting is what they're doing at the visibility level, either Kibana or the API or Tableau or Looker. And the key thing for us is we just say, just use the tools you're used to. Now that might be a boring statement, but to me, a great value proposition is not changing what your end users have to use. And they're doing amazing things. They're doing the exact same things they did before. They're just doing it with more data at bigger scale. And also they're able to see across their different machine learning data compared to being limited going at one thing at a time. And that getting the correlation from a unified data lake is really what we, you know we get very excited about. What's most exciting to our clients is they don't have to tell the users they have to use a different tool, which, you know, we'll decide if that's really interesting in this conversation. But again, I always say we didn't build a new algorithm that you going to give the SecOp team or a new pipeline cool widget that going to help the machine learning team which is another API we'll publish. But basically what we do is a hard work of making the data platform scalable, but more importantly give you the APIs that you're used to. So it's the platform that you don't have to change what your end users are doing, which is a... So we're kind of invisible behind the scenes. >> Well, that's certainly a pretty strong proposition there and I'm sure that there's plenty of scope for customers to come and and talk to you because no one's creating any less data. So Ed, thanks for coming out of theCUBE. It's always great to see you here. >> Know, thank you. >> You've been watching theCUBE Virtual and our coverage of AWS re:Invent 2020 with special coverage of APN partner experience. Make sure you check out all our coverage online, either on your desktop, mobile on your phone, wherever you are. I've been your host, Justin Warren. And I look forward to seeing you again soon. (soft music)

>> Narrator: From around the globe it's theCUBE, with digital coverage of AWS reinvent 2020 special coverage sponsored by AWS global partner network. >> Hello, and welcome to theCUBE virtual with our special coverage of AWS reinvent 2020 with additional special coverage of APN partner experience. We are theCUBE virtual and I'm your host, Justin Warren. And today I'm joined by Angelos Kottas who is vice president of product marketing at elastic and he comes to us from San Francisco. Angelos , welcome to theCUBE. >> Thank you, Justin. A pleasure to join you. >> Great to have you here. Now. I've been a big fan of elastic for a while have used your products in a variety of circumstances? You're big partners of AWS and have seen quite a bit of change over the last couple of years. We were talking just before we came on air. Maybe you could talk us through what elastic is doing with AWS and a little bit about those changes that you've seen over the last >> Absolutely one period. >> Sounds good Justin. So first of all many people know elastic as the makers of elastic search. One of the most popular open source of search engines and along with elastic search we have Kibana and beats and Logstash and many people know us as the Elk Stack, right? And so clearly we have roots in the open source community and people have used us for custom applications for years and years. One of the key changes over the last few years is that we've realized that many customers were doing some of the same things with elastic. So we said, what if we really focus on end to end experiences for our three core use cases? And so we chose three use cases and built solutions around them. What is enterprise search, right? Which is how do you find information on your website in your application or in your workspace? The second is observability. So think about software development software in every industry. What about dev ops? What about performance? What about consistency and last but not least, especially you know, with some of the current transitions in digital transformation, think about security. Think about your network security, your endpoint security and how you have visibility across your entire IT ecosystem. So we've chosen those three solution areas and put significant engineering into building out that experience. How quickly can we deliver value, how pre-built can the configuration be the integrations be, the workflow, the reporting and the dashboards around those use cases. The last piece, which is very relevant for reinvent is the transition to cloud, right? So we still offer a downloadable software and many of our customers and users download the elastic stack and deploy it on-prem and hybrid cloud environments. But one of the fastest growing deployment models is in the public cloud. And of course, elastic cloud on AWS is one of our major routes to market, happy to meet many of our customers where they are, which is on AWS. >> Oh it's great to be able to have that choice I think that people can download the software try and get it, get comfortable with it but then people often find that actually running software yourself, there's quite a lot of work involved in doing that. I know that I, I've experienced that myself. Just little things like maintenance and so on. So it sounds like you're actually taking care of a lot of that for customers if they move to the cloud service. But is there anything else special about the cloud service that customers might not be that aware of? >> Well, I mean, choice is a big part of it and so it's not just do I choose cloud it's wearing cloud. So we've actually, we now run elastic cloud in over 40 regions around the world. So we can be close to you in terms of latency, and in terms of performance, in terms of data sovereignty we can be local to your environment. The other aspect it's not just how we simplify deploying elastic. You know, clearly we architect it we install it, deploy and upgraded for you. But also we have focused quite a bit on integrating cloud data sources. So with AWS, as an example, we look at all of the applications and data sources that you host on AWS. And we think about how do we get those data streams how do we get that data directly integrated into elastic. One final piece, actually which I forget sometimes it's not the technical side. It's the business side is the commercial integration, right? So we are, you know, very happy to to be listed on the AWS marketplace. We've made it easy for you to find, deploy and actually build through your AWS commercial agreements via the marketplace integration. >> Right, so easy to get started and to start using it and search is certainly something that elastic is famous for. But you mentioned observability there, a bit of a question I have around observability is, is it that just a fancy way of saying monitoring? There seems to be this, this buzzword around the place. So what do you mean when you say observability? >> So one of the key foundational principles of the elastic observability solution is that, you know you want a unified data database a unified place to store all that data. So it is stretching across logs metrics, application traces it's bringing together a common platform that lets you look at different aspects of observability. So whether you're doing end to end application traces or whether you're just collecting infrastructure logs and looking at performance metrics it's kind of across the board, even looking at things in our most recent release that just came out last week, you know expanding on user experience, monitoring and synthetics. So you can optimize web interactions and web experiences, for example. >> Right. Okay. So there's a bunch of different types of data that are involved there. I know traditionally people would silo those off into a specific customized thing just for that particular type of workload. What is it about elastic that means that you can put all of these in one place? >> Yeah. You know, one of early catchphrases for what does elastic do? What do we focus on? The value we deliver is speed, scale and relevance. And so one of the things that is famous about the elastic way of doing things is the way in which we index data on ingest and so that you can get search queries that return within milliseconds and so that performance characteristics. A second one is scale. And this is actually really key, not just for observability but right next to observability, you get security as well. We like to say, if you're going to observe you might as well protect as well. So when you expand to that universe you have not just hundreds of devices you might have thousands or tens of thousands of devices that you are ingesting information whether it's operational data, whether it's security data. So scale becomes extremely significant. How can you scale horizontally and vertically and maintain that performance even when you are in a fortune 500 scale infrastructure The last piece is relevance. And so, you know that data it's not just about knowing what to look for. It's about using things like machine learning and anomaly detection to uncover unusual patterns of behavior and proactively alerting and making that visible through notifications and through alerts that can actually integrate not just with your elastic operations but actually with third party software. Maybe you want to trigger a service now ticket or a, you know, a Slack integration and all of that is part of the elastic platform as well. >> Right? Okay. So by putting everything kind of in one place that is around what you're talking about. So we have enterprise search and then to be able to find things we're collecting all of the data that we need to find things. And then you touched on security at the beginning and we're starting to talk around security there. So I'm keen to move on to that >> (chuckles) >> By looking at all of these, these different, these signals we can hopefully then manage some of security which I know is very much front of mind for everyone over the last year. Cyber security has very much come to the forefront of everyone's thinking. >> Absolutely. And you know, we've been on the network side of security for some time. So we've had our SIM solution, you know security information event monitoring, but we made a very strategic acquisition a little over a year ago. We saw that a critical piece of visibility is also the end point. And so we partnered with end game and eventually we acquired end game to create end to end visibility on that security. So it is being able to connect, you know the path of data from your servers and network devices all the way to the end points. And an example of the power of this unified architecture is the new elastication that we introduced in beta a couple of months ago. We said, what if we had a single deployment that both does endpoint protection and does malware scanning of your endpoint devices while also ingesting data into your observability systems. And so that's kind of the power of the platform the ability to use common infrastructure common integrations, so that every use case you adopt on top of elastic, it sort of multiplies the value you're getting from using elastic as an infrastructure player. >> Alright that's a good combining a couple of different things into the one tool that you can use. I know sys who I'd spoken to are quite concerned about the proliferation of tools that they have in their environment, it seems that they've bought lots of different things but a lot of them are kind of sitting in a drawer, not really being used. And partly, it's just, we we have so many different ways of dealing with these issues. None of it's really flushed out or sorry has been fully fleshed out that we definitely know this is the one true way to solve this. So what are you hearing from customers as they start to use these security functions? What are they telling you about the way that they're managing security in their environments? >> Well, you know, we think about a few different personas in the security market, right? We think about threat hunters, for example who are looking to identify threats, we're looking at the operations team that do the cleanup that do the you know, the resolution of security threats. And we also, so there's a, you know, there's two competing terms in the security market. We have security operations in the observability world. We have dev ops, right? And, and developer, you know, the continue of developer and deployment into a dev ops role. And so we're starting to see this concept of DevSecOps, right? What if there is a unified set it's not all things to all people and that's an important thing, right? We're not trying to be, your single security vendor for all IT security needs, but instead we're saying, what if you had a security operations analyst, a thrent Hunter an executive, a CSO who's looking for, you know an overall level of threat or compliance to policy and you can bring those experiences together through the elastic security solution. >> Right? So it sounds like you you're trying to allow people to work in the way that they need to providing them the tools that suit their particular circumstance. >> That's right. That's right. I mean, in terms of how do you define success? You look at metrics like meantime to resolution, you know can we reduce the meantime to resolution or you look at law collection and how much more efficiently can you collect logs? You look at asset monitoring and what percentage of your IT infrastructure you actually have unified visibility into, you know we have one great cloud customer OALEKS group. They are a popular online marketplace, you know and they quoted to us that they had a 1900% increase in law collection, right. In terms of scope of what they are collecting logs on they reduce that MTTR by 30% for security incidents so dramatically streamlined and shortened the exposure. And then they increased asset monitoring by 35% across cloud, as well as on-prem. And I think that's the other piece is that, you know whether you deploy your security in the cloud or on-prem you are looking to secure your hybrid environment. And so being able to take data feeds from your SAS partners from your infrastructure running on AWS as well as from those endpoint devices. >> Well, it sounds like there's plenty of scope of interesting things for people to come and have a look at it, at elastic. So, Angelos, thank you so much for joining us here, please. Thank you to my guests Angelos Kottas, vice president of product marketing at elastic. You've been watching theCUBE virtual and our coverage of AWS reinvent 2020 with special coverage of APN partner experience. Make sure you check out all our coverage on your desktop laptop or on your phone, wherever you are. I've been your host, Justin Warren. And I look forward to seeing you again soon. (upbeat music)

>>from >>around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by A. W s Global Partner Network. >>Welcome back to the cubes. Coverage of reinvent 2020 virtual. Three weeks. We're here covering all the action. Virtually Mister Cube. Virtual normally were in person. This year. We're remote. It's cute. Virtual. We are the cube virtual. And I'm please have a great guest here, man. Who? Car Kumar, Who's the VP of product market Nutanix. Um, the tons of deep coverage on Nutanix over the years we followed the this company since its inception almost over just over 10 years ago. Uh, medic are Welcome to the Cube. Thanks for coming on today. >>Nice to be here, John. >>Were part of the A p. M. Partner experience programming in within. The reinvent is a big day here. Um, you guys are a big part of it. You you have such a great partnership with a W s. You have product on on a W s, which is a high distinction in the in the spirit of their partnership technology rise. Can you tell us real quick? A quick update on the partnership with AWS. What is it? How's it going? What's new? >>So I think about it. We had a dot next John, and as part of that, we announced something called Nutanix clusters. And as part of that cluster that's our hybrid, uh, solution. Basically, what we're saying is we have a lot of customers who certainly had to, you know, take years or maybe even months of digital transformation. And then all of a sudden, they have to now figure out how do I go toe elastic work Lord, in a few weeks. So we were seeing a lot of our customers coming to us and saying, Hey, we really need help with this. We no longer in a situation where we have to go on by a silver and rack and stack that and then, you know, manage all of that over a pair of month. We really need to do something in few weeks, and when we do that, we need some tools that we are really familiar with and something that can help us get toe cloud as quickly as possible. So we were seeing this a lot even before the macro conditions. So sometime around August, we as part of our annual conference. We did announce a partnership with Data Blue s where now you can run an entire Nutanix cluster with all of its products on AWS bare metal as well. And that's the hybrid solution that we're talking about John today. >>That's awesome. And in line with the major themes and waves from the announcements from Andy Jassy and slew of kind of higher level services because the co fit pandemic really highlights this digital transformation of cloud bursting Thio. You know, deploying quicker in the cloud, being more agile and having speed thio value because you need it because of the world's changed. But it's also highlighted. This is a key theme. I want to get your reaction. Teoh is the hybrid Cloud E. I mean, it's been out there. We saw Outpost two years ago, and it's been kind of filling in and and now the environment is clear, right? The enterprises they're saying, I have to operate on premises and in the cloud the same kind of way, but I'm going to do different things. It's not just lift and shift. Throw in the cloud that's been there, done that. It's different. Now it's operating models and environment. Two different environments operate the same. Your reaction. >>That's exactly right. In fact, what we're seeing is from an i d perspective. The new reality is multiple environments on those environments. You know, it could be your, of course, your private data center. It could be your public cloud. Sometimes it could even be the edge and so on. And every time what we see is if you don't have the portability off your workload, you have to kind of redo a whole bunch of things. You have to re factor your applications. You have to go maybe even re skill, your entire workforce. And so there's a lot of overhead involved. Whenever portability is involved in The new reality is that you have to have portability, which is the reason why we see, even with kubernetes, taking such a strong hole in a lot of these organizations. So we've we've been seeing a bunch of different use cases come to us as well. Some customers saying, Hey, that's great that we have all of these multiple tools, but I want consistency. I want consistency in the constructs off the way I manage my i t If I'm managing some workload abs in a different way on Prem, I want to maintain that also in Public Cloud. How do I do that? So clusters really tries to address that gap. In fact, another story I will tell you, John, is that disaster recovery is one of those use cases that we're seeing quite a lot in these conditions as well. We had one customer come to us based in Oregon and they had, of course, you've heard about the fires over there, and they did not really have a disaster recovery plan. So what do you do in situations like that? You have to rely on cloud. So within four hours, we were able to help them to take, you know, their entire infrastructure and have a recovery plan directly into the cloud. So you're seeing a lot off. You use cases like that to, >>you know, that's interesting. The d. R. That recovery is a great one of many use cases, but it highlights the pandemic surge of the change right that the sea change. It's so fast. Okay, Yeah, disaster recovery. We're gonna cloud great solution. But because of the personnel challenges. It also works well, too. So this is the theme. You know, personnel may or may not be available. I got to get to the cloud. I gotta have everything. Software run. Everything is being run by software. So this kind of brings up my favorite topic, which is a big part of the this year's event, which is architecture and edge. And you're starting to see not to pat myself on the back. But I kind of predicted a couple of years ago that there is no edge of its cloud, right. It's cloud public cloud you got on premise Edge data centers a big edge. I mean, it's all the one thing, right? So edges big now, right? And now people working at home, it's an edge, and it highlights all the security issues. So how do you operate that? Yeah, this is a huge challenge. Yeah, >>of course. I think what you touched upon is ah, massive shift that we have seen over the years. As you said, right? Even if you look at things like Calico, for example, first, over a massive shift from hardware specialized hardware to virtualized network functions, for example, which will virtual machines, and I think we are seeing a bigger shift also now where virtual machines are now moving over to containers. And because these are all micro services and very tiny, so to speak, you can run it anywhere and hopefully and commodity hardware. So throughout the years, if you look at if you followed Nutanix, we have followed the path where we started off with hyper hyper converge infrastructure, and that was virtual izing your entire data center stack so you could take storage. Network compute, and now it's completely software defined or virtualized. Whatever you wanna call it, you can run it on any commodity hardware or hardware off your choice. What we see now is that we want toe. Apply that same principle off, being ableto right once, and run anywhere and be agnostic to the underlying layers, even for cloud. So, just as you could take and run your entire Nutanix platform on, create virtual machines and containers on a HP or Dell box, you can now also take that and also run it on Public Cloud, for example. Yeah, that's a great >>point. I mean, I want to just that's the first. That's a great point that's been in your mission from day one. But I wanna ask you if I don't if you don't mind on the edge one topic that's come up a lot, um, this week on we've been reporting on this before. Reinvent I think a VM world that came up a few months ago, um, purpose built edge devices in the old days were purpose built. They were purpose built with, you know, up and down the stack from hardware supply chain all the way. It's software. But when you're kind of getting at is kind of this new use case where you can have a purpose built edge device, whether it's a you know, wearable or machine sensors or whatever machines and still run software on their trusted software suffer defined. This is a key point. Can you can you unpack that this piece? Because I think this is kind of where the rubber meets the road, because if you can be software operated, you can go to that device. It could still be purpose built. >>You still function >>with software >>that that's exactly right. So if you think about it at the end of the day, if you're running some sort of an application or a workload. I always say you need compute, you need storage and you need networking. And we started off with physical hardware than with virtual machines and now with containers. But at the containers level or at the virtual machine level, the application doesn't really care about the underlying pieces right, And that's been our principal when we created the entire Nutanix stack on virtualized everything. So with the Newtown in stock you could take, you know we have our own hyper visor, but we also support others as well, so you can create virtual machines. You can create containers, you could have storage network. And now, because we are agnostic, you can actually run it on hardware off your choice or an environment off your choice. What's more important, though here is that you know the same set of tools that you used to manage. Your data center is now also available available to you to be able to manage it on other environments to in this case it's AWS, or if you decide to run it in any other environment, it would be the exact same. Construct the exact same automation scripts. >>And that, really is what seamless really means. Matt Kuchar. Thanks for coming on and sharing that inside. I want to get your thoughts as we wrap up here. Um, if you could tease out the most important feature or benefit or technology solution up with of the Nutanix on AWS because you know and reinvent, there's a lot of sessions people can go to. You guys have your own. Build your workshop, build your own hybrid cloud workshop. People should check that out. But you know your product marketing your job is to figure out what people really love the most about it. So, you know, here at reinvent this week, what's the most important thing? What should people pay attention to with Nutanix and AWS? >>Yeah, I think it's for us. Uh, I see myself as a developer. Still are our technical person, and for me, what I what really excites me about clusters is through the freedom of choice. I can choose to run it on the environment of my choice in this case is AWS, But there are some Enberg cost benefit features that's in there, you know, as you know, if you create something in the cloud. You don't necessarily think off cloud or cost. You create something that runs all the time, but you often have to worry about Hey, how much is going to cost this? So one of things that we did right as part of clusters is a hibernate feature. And what it allows you to do is that when you're not using clusters, you just like your laptop. You close the screen, you hit the hibernate button on it takes the entire state of your cluster and saves it on s three bucket. And when you're ready, toe reignited. You just hit the resume button. So when you're not using it using the true fundamentals of cloud, you are actually saving costs. That's one of the thing I think is something that will really excite a lot of I. D folks like me. >>Well, you know, being technical, being on the right wave. Software defined software operated infrastructure, automation, speed, consistency, multiple environments operating consistently. This is the Holy Grail is what we want and you guys are doing it. Congratulations. And and have a good Have a good conference. Thanks. >>All right. Thanks. So >>Okay. So cubes coverage of aws reinvent 2023 weeks. We're here. Virtually this. The cube. We are the cube Virtual. I'm John Furry, your host. Thanks for watching.

>> Reporter: From around the globe. It's theCUBE with digital coverage of AWS re:Invent 2020. Special coverage sponsored by AWS global partner network. >> Hello, and welcome to theCUBE virtual and our coverage of AWS re:Invent 2020 and our special coverage of APN partner experience. We are theCUBE virtual and I'm your host, Justin Warren. And today I'm joined by Mike Gilfix who is the Chief Product Officer for IBM Cloud Paks. Mike, welcome to theCUBE. >> Thank you. Thanks for having me. Now, Cloud Paks is a new thing from IBM. I'm not particularly familiar with it, but it's related to IBM's partnership with AWS. So maybe you could just start us off quickly by explaining what is Cloud Paks and what's your role as Chief Product Officer there? >> Well, Cloud Paks is sort of our next generation platform. What we've been doing is bringing the power of IBM software really across the board and bringing it to a hybrid cloud environment. So making it really easy for our customers to consume it wherever they want, however, they want to choose to do it with a consistent skillset and making it really easy to kind of get those things up and running and deliver value quickly. And this is part of IBM's hybrid approach. So what we've seen is organizations that can leverage the same skillset and, you know basically take those workloads make them run where they need to yields about a two and a half times ROI and Caltech sit at the center of that running on the OpenShift platform. So they get consistent security, skills and powerful software to run their business running everywhere. And we've been partnering with AWS because we want to make sure that those customers that have made that choice, can get access to those capabilities easy and as fast as possible. >> Right. And the Cloud Paks and Built On the Red Hat open. Now, let me get this right. It's the open hybrid cloud platform. So is that OpenShift? >> It is OpenShift, yes. I mean IBM is incredibly committed to open software and OpenShift does provide that common layer. And the reason that's important is you want consistent security. You want to avoid lock-in, right? That gives you a very powerful platform, (indistinct) if you will, they can truly run anywhere with any workload. And we've been working very closely with AWS to make sure that is a premiere first-class experience on AWS. >> Yes so the OpenShift on AWS is relatively new from IBM. So could you explain what is OpenShift on AWS and how does that differ from the OpenShift that people may be already familiar with? Well, the kernel, if you will, is the same it's the same sort of central open source software but in working closely with AWS we're now making those things available as simple services that you can quickly provision and run. And that makes it really easy for people to get started, but again sort of carrying forward that same sort of skill sets. So that's kind of a key way in which we see that you can gain that sort of consistency, you know, no matter where you're running that workload. And we've been investing in that integration working closely with them, Amazon. >> Yeah, and we all know Red Hat's commitment to open source software in the open ecosystems. Red hat is rightly famous for it. And I am old enough to remember when it was a brand new thing, particularly in enterprise to allow open source to come in and have anything to do with workloads. And now it's all the rage and people are running quite critical workloads on it. So what are you seeing in the adoption within the enterprise of open software? >> The adoption is massive. I think, well first let me describe what's driving it. I mean, people want to tap into innovation and the beauty of open source is you're kind of crowdsourcing if you will, this massive community of developers that are creating just an incredible amount of innovation at incredible speed. And it's a great way to ensure that you avoid vendor lock-in. So enterprises of all types are looking to open solutions as a way, both of innovating faster and getting protection. And that commitment, is something certainly Red Hat has tapped into. It's behind the great success of Red Hat. And it's something that frankly is permeating throughout IBM in that we're very committed to driving this sort of open approach. And that means that, you know, we need to ensure that people can get access to the innovation they need, run it where they want and ensure that they feel that they have choice. >> And the choice I think is a key part of it that isn't really coming through in some of the narrative. There's a lot of discussion about how you should actually pick, should you go cloud? I remember when it was either you should stay on-site or should you go to cloud? And we had a long discussion there. Hybrid cloud really does seem to have come of age where it's a realistic kind of compromise is probably the wrong word, but it's a trade off between doing all the one thing or all another. And for most enterprises, that doesn't actually seem to be the choice that's actually viable for them. So hybrid seems like it's actually just the practical approach. Would that be accurate? >> Well our studies have shown that if you look statistically at the set of workload that's moved to cloud, you know something like 20% of workloads have only moved to cloud meaning the other 80% is experiencing barriers to move. And some of those barriers is figuring out what to do with all this data that's sitting on-prem or you know, these applications that have years and years of intelligence baked into them that can not easily be ported. And so organizations are looking at the hybrid approaches because they give them more choice. It helps them deal with fragmentation. Meaning as I move more workload, I have consistent skillset. It helps me extend my existing investments and bring it into the cloud world. And all those things again are done with consistent security. That's really important, right? Organizations need to make sure they're protecting their assets, their data throughout, you know leveraging a consistent platform. So that's really the benefit of the hybrid approach. It essentially is going to enable these organizations to unlock more workload and gain the acceleration and the transformative effect of cloud. And that's why it's becoming a necessity, right? Because they just can't get that 80% to move yet. >> Yeah and I've long said that the cloud is a state of mind rather than a particular location. It's more about an operational model of how you do things. So hearing that we've only got 20% of workloads have moved to this new way of doing things does rather suggest that there's a lot more work to be done. What, for those organizations that are just looking to do this now or they've done a bit of it and they're looking for those next new workloads, where do you see customers struggling the most and where do you think that IBM can help them there? >> Well,(indistinct) where are they struggling the most? First I think skills. I mean, they have to figure out a new set of technologies to go and transition from this old world to the new and at the heart of that is lots of really critical debates. Like how do they modernize the way that they do software delivery for many enterprises, right? Embrace new ways of doing software delivery. How do they deal with the data issues that arise from where the data sits, their obligations for data protection, what happens if the data spans multiple different places but you have to provide high quality performance and security. These are all parts of issues that, you know, span different environments. And so they have to figure out how to manage those kinds of things and make it work in one place. I think the benefit of partnering, you know, with Amazon is, clearly there's a huge customer base that's interested in Amazon. I think the benefit of the IBM partnership is, you know, we can help to go and unlock some of those new workloads and find ways to get that cloud benefit and help to move them to the cloud faster again with that consistency of experience. And that's why I think it's a good match partnership where we're giving more customers choice. We're helping them to unlock innovation substantially faster. >> Right. And so for people who might want to just get started without it, how would they approach this? People might have some experience with AWS, it's almost difficult not to these days, but for those who aren't familiar with the Red Hat on AWS with OpenShift on AWS, how would they get started with you to explore what's possible? >> Well, one of the things that we're offering to our clients is a service that we refer to as IBM garage. It's, you know, an engagement model if you will, within IBM, where we work with our clients and we really help them to do co-creation so help to understand their business problem or, you know, the target state of where they want their IT to get to. And in working with them in co-creation, you know, we help them to affect that transition. Let's say that it's about delivering business applications faster. Let's say it's about modernizing the applications they have or offering new services, new business models, again all in the spirit of co-creation. And we found that to be really popular. It's a great way to get started. We've leveraged design thinking and approach. They can think about the customer experience and their outcome. If they're creating new business processes, new applications, and then really help them to uplift their skills and, you know, get ready to adopt cloud technology and everything that they do. >> It sounds like this is a lot of established workloads that people already have in their organizations. It's already there, it's generating real money. It's not those experimental workloads that we saw early on which was a, well let's try this. Cloud is a fabulous way where we can run some experiments. And if it doesn't work, we just turn it off again. These sound like a lot more workloads are kind of more important to the business. Is that be true? >> Yeah. I think that's true. Now I wouldn't say they're just existing workloads because I think there's lots of new business innovation that many of our, you know, clients want to go and launch. And so this gives them an opportunity to do that new innovation, but not forget the past meaning they can bring it forward and bring it forward into an integrated experience. I mean, that's what everyone demands of a true digital business, right? They expect that your experience is integrated, that it's responsive, that it's targeted and personalized. And the only way to do that is to allow for experimentation that integrates in with the, you know, standard business processes and things that you did before. And so you need to be able to connect those things together seamlessly. >> Right. So it sounds like it's a transition more than creating new thing completely from scratch. It's well, look, we've done a lot of innovation over the past decade or so in cloud, we know what works but we still have workloads that people clearly know and value. How do we put those things together and do it in such a way that we maintain the flexibility to be able to make new changes as we learn new things. >> Yeah, leverage what you've got play to your strengths. I mean that's how you create speed. If you have to reinvent the wheel every time it's going to be a slow roll. >> Yeah and that does seem like an area where an organization probably at this point should be looking to partner with other people who have done the hard yards. They've already figured this out. Well, as you say, why can't we make all of these obvious areas yourself when you're starting from scratch, when there's a wealth of experience out there and particularly this whole ecosystem that exists around the open software? In fact maybe you could tell us a little bit about the ecosystem opportunities that are there because Red Hat has been part of this for a very long time. AWS has a very broad ecosystem as we're all familiar with being here at re:Invent yet again. How does that ecosystem play into what's possible? >> Well, let me explain why I think IBM brings a different dimension to that trio, right? IBM brings deep industry expertise. I mean, we've long worked with all of our clients, our partners on solving some of their biggest business problems and being embedded in the thing that they do. So we have deep knowledge of their enterprise challenges, deep knowledge of their business processes. deep knowledge of their business processes. We are able to bring that industry know how mixed with, you know, Red Hat's approach to an open foundational platform, coupled with, you know, the great infrastructure you can get from Amazon and, you know, that's a great sort of powerful combination that we can bring to each of our clients. And, you know, maybe just to bring it back a little bit to that idea, okay so what's the role in Cloud Paks in that? I mean, Cloud Paks are the kind of software that we've built to enable enterprises to run their essential business processes, right? In the central digital operations that they run everything from security to protecting their data or giving them powerful data tools to implement AI and you know, to implement AI algorithms in the heart of their business or giving them powerful automation capabilities so they can digitize their operations. And also we make sure those things are going to run effectively. It's those kinds of capabilities that we're bringing in the form of Cloud Paks think of that as that substrate that runs a digital business that now can be brought through right? Running on AWS infrastructure through this integration that we've done. >> Right. So basically taking things as a pre-packaged module that we can just grab that module drop it in and start using it rather than having to build it ourselves from scratch. >> That's right. And they can leverage those powerful capabilities and get focused on innovating the things that matter, right? So the huge accelerant to getting business value. >> And it does sound a lot easier than trying to learn how to do the complex sort of deep learning and linear algorithms that they're involved in machine learning. I have looked into it a bit and trying to manage that sort of deep masses. I think I'd much rather just grab one off the shelf plug it in and just use it. >> Yeah. It's also better than writing assembler code which was some of my first programming experiences as well. So I think the software industry has moved on just a little bit since then. (chuckles) >> I think we have is that I do not miss the days of handwriting assembly at all. Sometimes for this (indistinct) reasons. But if we want to get things done, I think I'd much rather work in something a little higher level. (Mike laughing) So thank you very much for joining me. My guest Mike Gilfix there from IBM, sorry, from IBM cloud. And this has been, sorry, go ahead. We'll cut that. Can we cut and reedit this outro? >> Cameraman: Yeah, you guys can or you can just go ahead and just start over again. >> I'll just do, I'll just do the outro. Try it again. >> Cameraman: Yeah, sounds good. >> So thank you so much for my guests there Mike Gilfix, Chief Product Officer for IBM Cloud Paks from IBM. This has been theCUBES coverage of AWS re:Invent 2020 and the APN partner experience. I've been your host, Justin Warren, make sure you come back and join us for more coverage later on.