>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is Breaking Analysis with Dave Vellante. >> Confidential computing is a technology that aims to enhance data privacy and security, by providing encrypted computation on sensitive data and isolating data, and apps that are fenced off enclave during processing. The concept of, I got to start over. I fucked that up, I'm sorry. That's not right, what I said was not right. On Dave in five, four, three. Confidential computing is a technology that aims to enhance data privacy and security by providing encrypted computation on sensitive data, isolating data from apps and a fenced off enclave during processing. The concept of confidential computing is gaining popularity, especially in the cloud computing space, where sensitive data is often stored and of course processed. However, there are some who view confidential computing as an unnecessary technology in a marketing ploy by cloud providers aimed at calming customers who are cloud phobic. Hello and welcome to this week's Wikibon Cube Insights powered by ETR. In this Breaking Analysis, we revisit the notion of confidential computing, and to do so, we'll invite two Google experts to the show. But before we get there, let's summarize briefly. There's not a ton of ETR data on the topic of confidential computing, I mean, it's a technology that's deeply embedded into silicon and computing architectures. But at the highest level, security remains the number one priority being addressed by IT decision makers in the coming year as shown here. And this data is pretty much across the board by industry, by region, by size of company. I mean we dug into it and the only slight deviation from the mean is in financial services. The second and third most cited priorities, cloud migration and analytics are noticeably closer to cybersecurity in financial services than in other sectors, likely because financial services has always been hyper security conscious, but security is still a clear number one priority in that sector. The idea behind confidential computing is to better address threat models for data in execution. Protecting data at rest and data in transit have long been a focus of security approaches, but more recently, silicon manufacturers have introduced architectures that separate data and applications from the host system, ARM, Intel, AMD, Nvidia and other suppliers are all on board, as are the big cloud players. Now, the argument against confidential computing is that it narrowly focuses on memory encryption and it doesn't solve the biggest problems in security. Multiple system images, updates, different services and the entire code flow aren't directly addressed by memory encryption. Rather to truly attack these problems, many believe that OSs need to be re-engineered with the attacker and hacker in mind. There are so many variables and at the end of the day, critics say the emphasis on confidential computing made by cloud providers is overstated and largely hype. This tweet from security researcher Rodrigo Bronco, sums up the sentiment of many skeptics. He says, "Confidential computing is mostly a marketing campaign from memory encryption. It's not driving the industry towards the hard open problems. It is selling an illusion." Okay. Nonetheless, encrypting data in use and fencing off key components of the system isn't a bad thing, especially if it comes with the package essentially for free. There has been a lack of standardization and interoperability between different confidential computing approaches. But the confidential computing consortium was established in 2019 ostensibly to accelerate the market and influence standards. Notably, AWS is not part of the consortium, likely because the politics of the consortium were probably a conundrum for AWS because the base technology defined by the consortium is seen as limiting by AWS. This is my guess, not AWS' words. But I think joining the consortium would validate a definition which AWS isn't aligned with. And two, it's got to lead with this Annapurna acquisition. It was way ahead with ARM integration, and so it's probably doesn't feel the need to validate its competitors. Anyway, one of the premier members of the confidential computing consortium is Google, along with many high profile names, including Aem, Intel, Meta, Red Hat, Microsoft, and others. And we're pleased to welcome two experts on confidential computing from Google to unpack the topic. Nelly Porter is Head of Product for GCP Confidential Computing and Encryption and Dr. Patricia Florissi is the Technical Director for the Office of the CTO at Google Cloud. Welcome Nelly and Patricia, great to have you. >> Great to be here. >> Thank you so much for having us. >> You're very welcome. Nelly, why don't you start and then Patricia, you can weigh in. Just tell the audience a little bit about each of your roles at Google Cloud. >> So I'll start, I'm owning a lot of interesting activities in Google and again, security or infrastructure securities that I usually own. And we are talking about encryption, end-to-end encryption, and confidential computing is a part of portfolio. Additional areas that I contribute to get with my team to Google and our customers is secure software supply chain because you need to trust your software. Is it operate in your confidential environment to have end-to-end security, about if you believe that your software and your environment doing what you expect, it's my role. >> Got it. Okay, Patricia? >> Well, I am a Technical Director in the Office of the CTO, OCTO for short in Google Cloud. And we are a global team, we include former CTOs like myself and senior technologies from large corporations, institutions and a lot of success for startups as well. And we have two main goals, first, we walk side by side with some of our largest, more strategic or most strategical customers and we help them solve complex engineering technical problems. And second, we advice Google and Google Cloud Engineering, product management on emerging trends and technologies to guide the trajectory of our business. We are unique group, I think, because we have created this collaborative culture with our customers. And within OCTO I spend a lot of time collaborating with customers in the industry at large on technologies that can address privacy, security, and sovereignty of data in general. >> Excellent. Thank you for that both of you. Let's get into it. So Nelly, what is confidential computing from Google's perspective? How do you define it? >> Confidential computing is a tool and one of the tools in our toolbox. And confidential computing is a way how we would help our customers to complete this very interesting end-to-end lifecycle of the data. And when customers bring in the data to cloud and want to protect it as they ingest it to the cloud, they protect it at rest when they store data in the cloud. But what was missing for many, many years is ability for us to continue protecting data and workloads of our customers when they run them. And again, because data is not brought to cloud to have huge graveyard, we need to ensure that this data is actually indexed. Again, there is some insights driven and drawn from this data. You have to process this data and confidential computing here to help. Now we have end-to-end protection of our customer's data when they bring the workloads and data to cloud thanks to confidential computing. >> Thank you for that. Okay, we're going to get into the architecture a bit, but before we do Patricia, why do you think this topic of confidential computing is such an important technology? Can you explain? Do you think it's transformative for customers and if so, why? >> Yeah, I would maybe like to use one thought, one way, one intuition behind why confidential computing matters because at the end of the day, it reduces more and more the customer's thrush boundaries and the attack surface. That's about reducing that periphery, the boundary in which the customer needs to mind about trust and safety. And in a way is a natural progression that you're using encryption to secure and protect data in the same way that we are encrypting data in transit and at rest. Now, we are also encrypting data while in the use. And among other beneficials, I would say one of the most transformative ones is that organizations will be able to collaborate with each other and retain the confidentiality of the data. And that is across industry, even though it's highly focused on, I wouldn't say highly focused but very beneficial for highly regulated industries, it applies to all of industries. And if you look at financing for example, where bankers are trying to detect fraud and specifically double finance where a customer is actually trying to get a finance on an asset, let's say a boat or a house, and then it goes to another bank and gets another finance on that asset. Now bankers would be able to collaborate and detect fraud while preserving confidentiality and privacy of the data. >> Interesting and I want to understand that a little bit more but I got to push you a little bit on this, Nellie if I can, because there's a narrative out there that says confidential computing is a marketing ploy I talked about this up front, by cloud providers that are just trying to placate people that are scared of the cloud. And I'm presuming you don't agree with that, but I'd like you to weigh in here. The argument is confidential computing is just memory encryption, it doesn't address many other problems. It is over hyped by cloud providers. What do you say to that line of thinking? >> I absolutely disagree as you can imagine Dave, with this statement. But the most importantly is we mixing a multiple concepts I guess, and exactly as Patricia said, we need to look at the end-to-end story, not again, is a mechanism. How confidential computing trying to execute and protect customer's data and why it's so critically important. Because what confidential computing was able to do, it's in addition to isolate our tenants in multi-tenant environments the cloud offering to offer additional stronger isolation, they called it cryptographic isolation. It's why customers will have more trust to customers and to other customers, the tenants running on the same host but also us because they don't need to worry about against rats and more malicious attempts to penetrate the environment. So what confidential computing is helping us to offer our customers stronger isolation between tenants in this multi-tenant environment, but also incredibly important, stronger isolation of our customers to tenants from us. We also writing code, we also software providers, we also make mistakes or have some zero days. Sometimes again us introduce, sometimes introduced by our adversaries. But what I'm trying to say by creating this cryptographic layer of isolation between us and our tenants and among those tenants, we really providing meaningful security to our customers and eliminate some of the worries that they have running on multi-tenant spaces or even collaborating together with very sensitive data knowing that this particular protection is available to them. >> Okay, thank you. Appreciate that. And I think malicious code is often a threat model missed in these narratives. You know, operator access. Yeah, maybe I trust my cloud's provider, but if I can fence off your access even better, I'll sleep better at night separating a code from the data. Everybody's ARM, Intel, AMD, Nvidia and others, they're all doing it. I wonder if Nell, if we could stay with you and bring up the slide on the architecture. What's architecturally different with confidential computing versus how operating systems and VMs have worked traditionally? We're showing a slide here with some VMs, maybe you could take us through that. >> Absolutely, and Dave, the whole idea for Google and now industry way of dealing with confidential computing is to ensure that three main property is actually preserved. Customers don't need to change the code. They can operate in those VMs exactly as they would with normal non-confidential VMs. But to give them this opportunity of lift and shift though, no changing the apps and performing and having very, very, very low latency and scale as any cloud can, some things that Google actually pioneer in confidential computing. I think we need to open and explain how this magic was actually done, and as I said, it's again the whole entire system have to change to be able to provide this magic. And I would start with we have this concept of root of trust and root of trust where we will ensure that this machine within the whole entire host has integrity guarantee, means nobody changing my code on the most low level of system, and we introduce this in 2017 called Titan. So our specific ASIC, specific inch by inch system on every single motherboard that we have that ensures that your low level former, your actually system code, your kernel, the most powerful system is actually proper configured and not changed, not tempered. We do it for everybody, confidential computing included, but for confidential computing is what we have to change, we bring in AMD or future silicon vendors and we have to trust their former, their way to deal with our confidential environments. And that's why we have obligation to validate intelligent not only our software and our former but also former and software of our vendors, silicon vendors. So we actually, when we booting this machine as you can see, we validate that integrity of all of this system is in place. It means nobody touching, nobody changing, nobody modifying it. But then we have this concept of AMD Secure Processor, it's special ASIC best specific things that generate a key for every single VM that our customers will run or every single node in Kubernetes or every single worker thread in our Hadoop spark capability. We offer all of that and those keys are not available to us. It's the best case ever in encryption space because when we are talking about encryption, the first question that I'm receiving all the time, "Where's the key? Who will have access to the key?" because if you have access to the key then it doesn't matter if you encrypted or not. So, but the case in confidential computing why it's so revolutionary technology, us cloud providers who don't have access to the keys, they're sitting in the hardware and they fed to memory controller. And it means when hypervisors that also know about this wonderful things saying I need to get access to the memories, that this particular VM I'm trying to get access to. They do not decrypt the data, they don't have access to the key because those keys are random, ephemeral and per VM, but most importantly in hardware not exportable. And it means now you will be able to have this very interesting world that customers or cloud providers will not be able to get access to your memory. And what we do, again as you can see, our customers don't need to change their applications. Their VMs are running exactly as it should run. And what you've running in VM, you actually see your memory clear, it's not encrypted. But God forbid is trying somebody to do it outside of my confidential box, no, no, no, no, no, you will now be able to do it. Now, you'll see cyber test and it's exactly what combination of these multiple hardware pieces and software pieces have to do. So OS is also modified and OS is modified such way to provide integrity. It means even OS that you're running in your VM box is not modifiable and you as customer can verify. But the most interesting thing I guess how to ensure the super performance of this environment because you can imagine Dave, that's increasing and it's additional performance, additional time, additional latency. So we're able to mitigate all of that by providing incredibly interesting capability in the OS itself. So our customers will get no changes needed, fantastic performance and scales as they would expect from cloud providers like Google. >> Okay, thank you. Excellent, appreciate that explanation. So you know again, the narrative on this is, well, you've already given me guarantees as a cloud provider that you don't have access to my data, but this gives another level of assurance, key management as they say is key. Now humans aren't managing the keys, the machines are managing them. So Patricia, my question to you is in addition to, let's go pre-confidential computing days, what are the sort of new guarantees that these hardware based technologies are going to provide to customers? >> So if I am a customer, I am saying I now have full guarantee of confidentiality and integrity of the data and of the code. So if you look at code and data confidentiality, the customer cares and they want to know whether their systems are protected from outside or unauthorized access, and that we covered with Nelly that it is. Confidential computing actually ensures that the applications and data antennas remain secret. The code is actually looking at the data, only the memory is decrypting the data with a key that is ephemeral, and per VM, and generated on demand. Then you have the second point where you have code and data integrity and now customers want to know whether their data was corrupted, tempered with or impacted by outside actors. And what confidential computing ensures is that application internals are not tempered with. So the application, the workload as we call it, that is processing the data is also has not been tempered and preserves integrity. I would also say that this is all verifiable, so you have attestation and this attestation actually generates a log trail and the log trail guarantees that provides a proof that it was preserved. And I think that the offers also a guarantee of what we call sealing, this idea that the secrets have been preserved and not tempered with, confidentiality and integrity of code and data. >> Got it. Okay, thank you. Nelly, you mentioned, I think I heard you say that the applications is transparent, you don't have to change the application, it just comes for free essentially. And we showed some various parts of the stack before, I'm curious as to what's affected, but really more importantly, what is specifically Google's value add? How do partners participate in this, the ecosystem or maybe said another way, how does Google ensure the compatibility of confidential computing with existing systems and applications? >> And a fantastic question by the way, and it's very difficult and definitely complicated world because to be able to provide these guarantees, actually a lot of work was done by community. Google is very much operate and open. So again our operating system, we working this operating system repository OS is OS vendors to ensure that all capabilities that we need is part of the kernels are part of the releases and it's available for customers to understand and even explore if they have fun to explore a lot of code. We have also modified together with our silicon vendors kernel, host kernel to support this capability and it means working this community to ensure that all of those pages are there. We also worked with every single silicon vendor as you've seen, and it's what I probably feel that Google contributed quite a bit in this world. We moved our industry, our community, our vendors to understand the value of easy to use confidential computing or removing barriers. And now I don't know if you noticed Intel is following the lead and also announcing a trusted domain extension, very similar architecture and no surprise, it's a lot of work done with our partners to convince work with them and make this capability available. The same with ARM this year, actually last year, ARM announced future design for confidential computing, it's called confidential computing architecture. And it's also influenced very heavily with similar ideas by Google and industry overall. So it's a lot of work in confidential computing consortiums that we are doing, for example, simply to mention, to ensure interop as you mentioned, between different confidential environments of cloud providers. They want to ensure that they can attest to each other because when you're communicating with different environments, you need to trust them. And if it's running on different cloud providers, you need to ensure that you can trust your receiver when you sharing your sensitive data workloads or secret with them. So we coming as a community and we have this at Station Sig, the community-based systems that we want to build, and influence, and work with ARM and every other cloud providers to ensure that they can interop. And it means it doesn't matter where confidential workloads will be hosted, but they can exchange the data in secure, verifiable and controlled by customers really. And to do it, we need to continue what we are doing, working open and contribute with our ideas and ideas of our partners to this role to become what we see confidential computing has to become, it has to become utility. It doesn't need to be so special, but it's what what we've wanted to become. >> Let's talk about, thank you for that explanation. Let's talk about data sovereignty because when you think about data sharing, you think about data sharing across the ecosystem in different regions and then of course data sovereignty comes up, typically public policy, lags, the technology industry and sometimes it's problematic. I know there's a lot of discussions about exceptions but Patricia, we have a graphic on data sovereignty. I'm interested in how confidential computing ensures that data sovereignty and privacy edicts are adhered to, even if they're out of alignment maybe with the pace of technology. One of the frequent examples is when you delete data, can you actually prove the data is deleted with a hundred percent certainty, you got to prove that and a lot of other issues. So looking at this slide, maybe you could take us through your thinking on data sovereignty. >> Perfect. So for us, data sovereignty is only one of the three pillars of digital sovereignty. And I don't want to give the impression that confidential computing addresses it at all, that's why we want to step back and say, hey, digital sovereignty includes data sovereignty where we are giving you full control and ownership of the location, encryption and access to your data. Operational sovereignty where the goal is to give our Google Cloud customers full visibility and control over the provider operations, right? So if there are any updates on hardware, software stack, any operations, there is full transparency, full visibility. And then the third pillar is around software sovereignty, where the customer wants to ensure that they can run their workloads without dependency on the provider's software. So they have sometimes is often referred as survivability that you can actually survive if you are untethered to the cloud and that you can use open source. Now, let's take a deep dive on data sovereignty, which by the way is one of my favorite topics. And we typically focus on saying, hey, we need to care about data residency. We care where the data resides because where the data is at rest or in processing need to typically abides to the jurisdiction, the regulations of the jurisdiction where the data resides. And others say, hey, let's focus on data protection, we want to ensure the confidentiality, and integrity, and availability of the data, which confidential computing is at the heart of that data protection. But it is yet another element that people typically don't talk about when talking about data sovereignty, which is the element of user control. And here Dave, is about what happens to the data when I give you access to my data, and this reminds me of security two decades ago, even a decade ago, where we started the security movement by putting firewall protections and logging accesses. But once you were in, you were able to do everything you wanted with the data. An insider had access to all the infrastructure, the data, and the code. And that's similar because with data sovereignty, we care about whether it resides, who is operating on the data, but the moment that the data is being processed, I need to trust that the processing of the data we abide by user's control, by the policies that I put in place of how my data is going to be used. And if you look at a lot of the regulation today and a lot of the initiatives around the International Data Space Association, IDSA and Gaia-X, there is a movement of saying the two parties, the provider of the data and the receiver of the data going to agree on a contract that describes what my data can be used for. The challenge is to ensure that once the data crosses boundaries, that the data will be used for the purposes that it was intended and specified in the contract. And if you actually bring together, and this is the exciting part, confidential computing together with policy enforcement. Now, the policy enforcement can guarantee that the data is only processed within the confines of a confidential computing environment, that the workload is in cryptographically verified that there is the workload that was meant to process the data and that the data will be only used when abiding to the confidentiality and integrity safety of the confidential computing environment. And that's why we believe confidential computing is one necessary and essential technology that will allow us to ensure data sovereignty, especially when it comes to user's control. >> Thank you for that. I mean it was a deep dive, I mean brief, but really detailed. So I appreciate that, especially the verification of the enforcement. Last question, I met you two because as part of my year-end prediction post, you guys sent in some predictions and I wasn't able to get to them in the predictions post, so I'm thrilled that you were able to make the time to come on the program. How widespread do you think the adoption of confidential computing will be in '23 and what's the maturity curve look like this decade in your opinion? Maybe each of you could give us a brief answer. >> So my prediction in five, seven years as I started, it will become utility, it will become TLS. As of freakin' 10 years ago, we couldn't believe that websites will have certificates and we will support encrypted traffic. Now we do, and it's become ubiquity. It's exactly where our confidential computing is heeding and heading, I don't know we deserve yet. It'll take a few years of maturity for us, but we'll do that. >> Thank you. And Patricia, what's your prediction? >> I would double that and say, hey, in the very near future, you will not be able to afford not having it. I believe as digital sovereignty becomes ever more top of mind with sovereign states and also for multinational organizations, and for organizations that want to collaborate with each other, confidential computing will become the norm, it will become the default, if I say mode of operation. I like to compare that today is inconceivable if we talk to the young technologists, it's inconceivable to think that at some point in history and I happen to be alive, that we had data at rest that was non-encrypted, data in transit that was not encrypted. And I think that we'll be inconceivable at some point in the near future that to have unencrypted data while we use. >> You know, and plus I think the beauty of the this industry is because there's so much competition, this essentially comes for free. I want to thank you both for spending some time on Breaking Analysis, there's so much more we could cover. I hope you'll come back to share the progress that you're making in this area and we can double click on some of these topics. Really appreciate your time. >> Anytime. >> Thank you so much, yeah. >> In summary, while confidential computing is being touted by the cloud players as a promising technology for enhancing data privacy and security, there are also those as we said, who remain skeptical. The truth probably lies somewhere in between and it will depend on the specific implementation and the use case as to how effective confidential computing will be. Look as with any new tech, it's important to carefully evaluate the potential benefits, the drawbacks, and make informed decisions based on the specific requirements in the situation and the constraints of each individual customer. But the bottom line is silicon manufacturers are working with cloud providers and other system companies to include confidential computing into their architectures. Competition in our view will moderate price hikes and at the end of the day, this is under-the-covers technology that essentially will come for free, so we'll take it. I want to thank our guests today, Nelly and Patricia from Google. And thanks to Alex Myerson who's on production and manages the podcast. Ken Schiffman as well out of our Boston studio. Kristin Martin and Cheryl Knight help get the word out on social media and in our newsletters, and Rob Hoof is our editor-in-chief over at siliconangle.com, does some great editing for us. Thank you all. Remember all these episodes are available as podcasts. Wherever you listen, just search Breaking Analysis podcast. I publish each week on wikibon.com and siliconangle.com where you can get all the news. If you want to get in touch, you can email me at david.vellante@siliconangle.com or DM me at D Vellante, and you can also comment on my LinkedIn post. Definitely you want to check out etr.ai for the best survey data in the enterprise tech business. I know we didn't hit on a lot today, but there's some amazing data and it's always being updated, so check that out. This is Dave Vellante for theCUBE Insights powered by ETR. Thanks for watching and we'll see you next time on Breaking Analysis. (subtle music)

(upbeat music) (logo shimmers) >> Good afternoon everyone, and welcome back to AWS re Invent 2022. We are live here from the show floor in Las Vegas, Nevada, we're theCUBE, my name is Savannah Peterson, joined by John Furrier, John, are you excited for the next segment? >> I love the innovation story, this next segment's going to be really interesting, an example of ecosystem innovation in action, it'll be great. >> Yeah, our next guests are actually award-winning, I am very excited about that, please welcome Alan and Becky from IBM. Thank you both so much for being here, how's the show going for ya? Becky you got a, just a platinum smile, I'm going to go to you first, how's the show so far? >> No, it's going great. There's lots of buzz, lots of excitement this year, of course, three times the number of people, but it's fantastic. >> Three times the number of people- >> (indistinct) for last year. >> That is so exciting, so what is that... Do you know what the total is then? >> I think it's over 55,000. >> Ooh, loving that. >> John: A lot. >> It's a lot, you can tell by the hallways- >> Becky: It's a lot. >> John: It's crowded, right. >> Yeah, you can tell by just the energy and the, honestly the heat in here right now is pretty good. Alan, how are you feeling on the show floor this year? >> Awesome, awesome, we're meeting a lot of partners, talking to a lot of clients. We're really kind of showing them what the new IBM, AWS relationship is all about, so, beautiful time to be here. >> Well Alan, why don't you tell us what that partnership is about, to start us off? >> Sure, sure. So the partnership started with the relationship in our consulting services, and Becky's going to talk more about that, right? And it grew, this year it grew into the IBM software realm where we signed an agreement with AWS around May timeframe this year. >> I love it, so, like you said, you're just getting started- >> Just getting started. >> This is the beginning of something magic. >> We're just scratching the surface with this right? >> Savannah: Yeah. >> But it represents a huge move for IBM to meet our clients where they are, right? Meet 'em where they are with IBM technology, enterprise technology they're used to, but with the look and feel and usage model that they're used to with AWS. >> Absolutely and so to build on that, you know, we're really excited to be an AWS Premier Consulting Partner. We've had this relationship for a little over five years with AWS, I'd say it's really gone up a notch over the last year or two as we've been working more and more closely, doubling down on our investments, doubling down on our certifications, we've got over 15,000 people certified now, almost 16,000 actually- >> Savannah: Wow. >> 14 competencies, 16 service deliveries and counting. We cover a mass of information and services from Data Analytics, IoT, AI, all the way to Modernization, SAP, Security Services, right. So it's pretty comprehensive relationship, but in addition to the fantastic clients that we both share, we're doing some really great things around joint industry solutions, which I'll talk about in a few minutes and some of those are being launched at the conference this year, so that's even better. But the most exciting thing to me right now is that we just found out that we won the Global Innovator Partner of the Year award, and a LATAM Partner of the Year award. >> Savannah: Wow. >> John: That's (indistinct) >> So, super excited for IBM Consulting to win this, we're honored and it's just a great, exciting part to the conference. >> The news coming out of this event, we know tomorrow's going to be the big keynote for the new Head of the ecosystem, Ruba. We're hearing that it's going to be all about the ecosystem, enabling value creation, enabling new kinds of solutions. We heard from the CEO of AWS, this nextGen environment's upon us, it's very solution-oriented- >> Becky: Absolutely. >> A lot of technology, it's not an either or, it's an and equation, this is a huge new shift, I won't say shift, a continuation for AWS, and you guys, we've been covering, so you got the and situation going on... Innovation solutions and innovation technology and customers can choose, build a foundation or have it out of the box. What's your reaction to that? Do you think it's going to go well for AWS and IBM? >> I think it fits well into our partnership, right? The the thing you mentioned that I gravitate to the most is the customer gets to choose and the thing that's been most amazing about the partnership, both of these companies are maniacally focused on the customer, right? And so we've seen that come about as we work on ways the customer to access our technology, consume the technology, right? We've sold software on-prem to customers before, right, now we're going to be selling SaaS on AWS because we had customers that were on AWS, we're making it so that they can more easily purchase it by being in the marketplace, making it so they can draw down their committed spin with AWS, their customers like that a lot- [John] Yeah. >> Right. We've even gone further to enable our distributor network and our resellers, 'cause a lot of our customers have those relationships, so they can buy through them. And recently we've enabled the customer to leverage their EDP, their committed spend with AWS against IBM's ELA and structure, right, so you kind of get a double commit value from a customer point of view, so the amazing part is just been all about the customers. >> Well, that's interesting, you got the technology relationship with AWS, you mentioned how they're engaging with the software consumption in marketplace, licensed deals, there's all kinds of new business model innovations on top of the consumption and building. Then you got the consulting piece, which is again, a big part of, Adam calls it "Business transformation," which is the result of digital transformation. So digital transformation is the process, the outcome is the business transformation, that's kind of where it all kind of connects. Becky, what's your thoughts on the Amazon consulting relationships? Obviously the awards are great but- >> They are, no- >> What's the next step? Where does it go from here? >> I think the best way for me to describe it is to give you some rapid flyer client examples, you know, real customer stories and I think that's where it really, rubber meets the road, right? So one of the most recent examples are IBM CEO Arvind Krishna, in his three key results actually mentioned one of our big clients with AWS which is the Department of Veterans Affairs in the US and is an AI solution that's helped automate claims processing. So the veterans are trying to get their benefits, they submit the claims, snail mail, phone calls, you know, some in person, some over email- >> Savannah: Oh, it gives me all the feels hearing you talk about this- >> It's a process that used to take 25 to 30 days depending on the complexity of the claims, we've gotten it down with AWS down to within 24 hours we can get the veterans what they need really quickly so, I mean, that's just huge. And it's an exciting story that includes data analytics, AI and automation, so that's just one example. You know, we've got examples around SAP where we've developed a next generation SAP for HANA Platform for Phillips Carbon Black hosted on AWS, right? For them, it created an integrated, scalable, digital business, that cut out a hundred percent the capital cost from on-prem solutions. We've got security solutions around architectures for telecommunications advisors and of course we have lots of examples of migration and modernization and moving workloads using Red Hat to do that. So there's a lot of great client examples, so to me, this is the heart of what we do, like you said, both companies are really focused on clients, Amazon's customer-obsessed, and doing what we can for our clients together is where we get the impact. >> Yeah, that's one of the things that, it sounds kind of cliche, "Oh we're going to work backwards from the customer," I know Amazon says that, they do, you guys are also very customer-focused but the customers are changing. So I'd love to get your reaction because we're now in that cloud 2.0, I call that 2.0 or you got the Amazon Classic, my word, and then Next Gen Cloud coming, the customers are different, they're transforming because IT's not a department anymore, it's in the DevOps pipeline. The developers are driving a lot of IT but security and on DataOps, it's the structural change happening at the customer, how do you guys see that at IBM? I know we cover a lot of Red Hat and Arvind talks to us all the time, meeting the customer where they are, where are they? Where are the customers? Can you share your perspective on where they are? >> It's an astute observation, right, the customer is changing. We have both of those sets of customers, right, we still have the traditional customer, our relationship with Central IT, right, and driving governance and all of those things. But the folks that are innovating many times they're in the line of business, they're discovering solutions, they're building new things. And so we need our offerings to be available to them. We need them to understand how to use them and be convenient for these guys and take them through that process. So that change in the customer is one that we are embracing by making our offerings easy to consume, easy to use, and easy to build into solutions and then easy to parlay into what central IT needs to do for governance, compliance, and these types of things, it's becoming our new bread and butter. >> And what's really cool is- >> Is that easy button- >> We've been talking about- >> It's the easy button. >> The easy button a lot on the show this week and if you just, you just described it it's exactly what people want, go on Becky. >> Sorry about that, I was going to say, the cool part is that we're co-creating these things with our clients. So we're using things like the Amazon Working Backward that you just mentioned.` We're using the IBM garage methodology to get innovative to do design working, design thinking workshops, and think about where is that end user?, Where is that stakeholder? Where are they, they thinking, feeling, doing, saying how do we make the easier? How do we get the easy button for them so that they can have the right solutions for their businesses. We work mostly with lines of business in my part of the organization, and they're hungry for that. >> You know, we had a quote on theCUBE yesterday, Savannah remember one of our guests said, you know, back in the, you know, 1990s or two 2000s, if you had four production apps, it was considered complex >> Savannah: Yeah. >> You know, now you got hundreds of workloads, thousands of workloads, so, you know, this end-to-end vision that we heard that's playing out is getting more complex, but the easy button is where these abstraction layers and technology could come in. So it's getting more complex because there's more stuff but it's getting easier because- >> Savannah: What is the magnitude? >> You can make it easier. This is a dynamic, share your thoughts on that. >> It's getting more complex because our clients need to move faster, right, they need to be more agile, right, so not only are there thousands of applications there are hundreds of thousands microservices that are composing those applications. So they need capabilities that help them not just build but govern that structure and put the right compliance over that structure. So this relationship- >> Savannah: Lines of governance, yeah- >> This relationship we built with AWS is in our key areas, it's a strategic move, not a small thing for us, it covers things like automation and integration where you need to build that way. It covers things like data and AI where you need to do the analytics, even things like sustainability where we're totally aligned with what AWS is talking about and trying to do, right, so it's really a good match made there. >> John: It really sounds awesome. >> Yeah, it's clear. I want to dig in a little bit, I love the term, and I saw it in my, it stuck out to me in the notes right away, getting ready for you all, "maniacal", maniacal about the customer, maniacal about the community, I think that's really clear when we're talking about 24 days to 24 hours, like the veteran example that you gave right there, which I genuinely felt in my heart. These are the types of collaborations that really impact people's lives, tell me about some of the other trends or maybe a couple other examples you might have because I think sometimes when our head's in the clouds, we talk a lot about the tech and the functionality, we forget it's touching every single person walking around us, probably in a different way right now than we may even be aware- >> I think one of the things that's been, and our clients have been asking us for, is to help coming into this new era, right, so we've come out of a pandemic where a lot of them had to do some really, really basic quick decisions. Okay, "Contact Center, everyone work from home now." Okay, how do we do that? Okay, so we cobbled something together, now we're back, so what do we do? How do we create digital transformation around that so that we are going forward in a really positive way that works for our clients or for our contact center reps who are maybe used to working from home now versus what our clients need, the response times they need, and AWS has all the technology that we're working with like Amazon Connect to be able to pull those things together with some of our software like Watson Assistant. So those types of solutions are coming together out of that need and now we're moving into the trend where economy's getting tougher, right? More cost cutting potentially is coming, right, better efficiencies, how do we leverage our solutions and help our clients and customers do that? So I think that's what the customer obsession's about, is making sure we really understand where their pain points are, and not just solve them but maybe get rid of 'em. >> John: Yeah, great one. >> Yeah. And not developing in a silo, I mean, it's a classic subway problem, you got to be communicating with your community if you want to continue to serve them. And IBM's been serving their community for a very long time, which is super impressive, do you think they're ready for the challenge? >> Let's do it. >> So we have a new thing on theCUBE. >> Becky: Oh boy. >> We didn't warn you about this, but here we go. Although you told, Alan, you've mentioned you're feeling very cool with the microphone on, so I feel like, I'm going to put you in the hot seat first on this one. Not that I don't think Becky's going to smash it, but I feel like you're channeling the power of the microphone. New challenges, treat it like a 32nd Instagram reel-style story, a hot take, your thought leadership, money clip, you know, this is your moment. What is the biggest takeaway, most important thing happening at the show this year? >> Most important thing happening at the show? Well, I'm glad you mentioned it that way, because earlier you said we may have to sing (presenters and guests all laughing) >> So this is much better than- >> That's actually part of the close. >> John: Hey, hey. >> Don't worry, don't worry, I haven't forgotten that, it's your Instagram reel, go. (Savannah laughs) >> Original audio happening here on theCUBE, courtesy of Alan and IBM, I am so here for it. >> So what my takeaway and what I would like for the audience to take away, out of this conversation especially, but even broadly, the IBM AWS relationship is really like a landmark type of relationship, right? It's one of the biggest that we've established on both sides, right- >> Savannah: It seems huge, okay you are too monolith in the world of companies, like, yeah- >> Becky: Totally. >> It's huge. And it represents a strategic change on both sides, right? With that customer- >> Savannah: Fundamentally- >> In the middle right? >> Savannah: Yeah. >> So we're seeing things like, you know, AWS is working with us to make sure we're building products the way that a AWS client likes to consume them, right, so that we have the right integration, so they get that right look and feel, but they still get the enterprise level capabilities they're used to from IBM, right? So the big takeaway I like for people to take, is this is a new IBM, it's a new AWS and IBM relationship, and so expect more of that goodness, more of those new things coming out of it. [John] Excellent, wow. >> That was great, well done, you nailed it. and you're going to finish with some acapella, right? (Alan laughs) >> You got a pitch pipe ready? (everyone laughs) >> All right Becky, what about you? Give us your hot take. >> Well, so for me, the biggest takeaway is just the way this relationship has grown so much, so, like you said, it's the new IBM it's the new AWS, we were here last year, we had some good things, this year we're back at the show with joint solutions, have been jointly funded and co-created by AWS and IBM. This is huge, this is a really big opportunity and a really big deal that these two companies have come together, identified joint customer needs and we're going after 'em together and we're putting 'em in the booth. >> Savannah: So cool. And there's things like smart edge for welding solutions that are out there. >> Savannah: Yes. >> You know, I talked about, and it's, you know you wouldn't think, "Okay, well what's that?" There's a lot to that, a lot of saving when you look at how you do welding and if you apply things like visual AI and auditory AI to make sure a weld is good. I mean, I think these are, these things are cool, I geek out on these things- >> John: Every vertical. >> I'm geeking out with you right now, just geeking- >> Yeah, yeah, yeah, so- >> Every vertical is infected. >> They are and it's so impactful to have AWS just in lockstep with us, doing these solutions, it's so different from, you know, you kind of create something that you think your customers like and then you put it out there. >> Yeah, versus this moment. >> Yeah, they're better together. >> It's strategic partnership- >> It's truly a strategic partnership. and we're really bringing that this year to reinvent and so I'm super excited about that. >> Congratulations. >> Wow, well, congratulations again on your awards, on your new partnership, I can't wait to hear, I mean, we're seven months in, eight months in to this this SaaS side of the partnership, can't wait to see what we're going to be talking about next year when we have you back on theCUBE. >> I know. >> and maybe again in between now and then. Alan, Becky, thank you both so much for being here, this was truly a joy and I'm sure you gave folks a taste of the new IBM, practicing what you preach. >> John: Great momentum. >> And I'm just, I'm so impressed with the two companies collaborating, for those of us OGs in tech, the big companies never collaborated before- >> Yeah. >> John: Yeah. Joint, co-created solutions. >> And you have friction between products and everything else. I mean's it's really, co-collaboration is, it's a big theme for us at all the shows we've been doing this year but it's just nice to see it in practice too, it's an entirely different thing, so well done. >> Well it's what gets me out of the bed in the morning. >> All right, congratulations. >> Very clearly, your energy is contagious and I love it and yeah, this has been great. Thank all of you at home or at work or on the International Space Station or wherever you might be tuning in from today for joining us, here in Las Vegas at AWS re Invent where we are live from the show floor, wall-to-wall coverage for three days with John Furrier. My name is Savannah Peterson, we're theCUBE, the source for high tech coverage. (cheerful upbeat music)

>> We're back at the Seaport in Boston. Dave Vellante and Paul Gill. You're watching The Cubes coverage of Red Hat Summit, 2022. A little different this year, a smaller venue. Maybe a thousand people. Love the keynotes, compressed. Big virtual audience. So we're happy to be coming to you live, face to face. It's been a while since we've had these, for a lot of folks, this is their first in person event. You know, it's kind of weird getting used to that, but I think in the next few months, it's going to become the new, sort of quasi abnormal. Francis Chow is here. He's the Vice President and GM of In-Vehicle OS and Edge at Red Hat. Francis, welcome. That's the most interesting title we've had all week. So thanks for coming here. >> Thank you, Dave. Thank you, Paul, for having me here. >> So The Edge, I mean The Edge is, we heard about the International Space Station. We heard about ski boots, of course In-Vehicle. What's the Edge to you? >> Well, to me Edge actually could mean many different things, right? The way we look at Edge is, there is the traditional enterprise Edge, where this is the second tier, third tier data centers that this extension from your core, the network and your centralized data center, right to remote locations. And then there are like Telco Edge, right? where we know about the 5G network, right Where you deploy bay stations and which would have a different size of requirements right. Of traditional enterprise edge networks. And then there are Operational Edge where we see the line of business operating on those locations, right? Things like manufacturing for oil rigs, retail store, right? So very wide variety of Edge that are doing OT type of technology, and then last but not least there is the customer on or kind of device edge where we now putting things into things like cars, as you said, like ski booth, and have that interaction with the end consumers. >> Is this why? I mean, there's a lot of excitement at Red. I could tell among the Red hat people about this GM deal here is this why that's so exciting to them? This really encompasses sort of all of those variants of the edge in automotive, in automobile experience. Doesn't it? >> I think why this is exciting to the industry and also to us is that if you look at traditionally how automotive has designed, right the way the architect vehicle today has many subsystems, they are all purpose viewed, very tight cut, coupled with hardware and software. And it's very difficult to reuse, right? So their cause of development is high. The time to develop is long and adding to that there is a lengthy safety certification process which also kind of make it hard. Because every time you make a change in the system you have to re-certify it again. >> Right. >> And typically it takes about six to 12 months to do so. Every time you make a change. So very lengthy passes, which is important because we want to ensure occupants are safe in a vehicle. Now what we bring to the table, which I think is super exciting is we bring this platform approach. Now you can use a consistent platform that is open and you can actually now run multiple doming applications on the same platform which means automakers can reuse components across model years and brands. That will lower the development cost. Now I think one of the key things that we bring to the table is that we introduce a new safety certification approach called Continuous Safety Certification. We actually announced that in our summit last year with the intent, "Hey, we're going to deliver this functional certified Linux platform" Which is the first four Linux. And the way we do it is we work with our partner Excedr to try to define that approach. And at the high level the idea really is to automate that certification process just like how we automate software development. Right, we are adding that monitoring capabilities with functional safety related artifacts in our CI three pipeline. And we are able to aim to cut back that kind of certification time to a fraction of what is needed today. So what we can do, I think with this collaboration with GM, is help them get faster time to market, and then lower development costs. Now, adding to that, if you think about a modern Linux platform, you can update it over the air, right? This is the capability that we are working with GM as well. Now what customers can expect now, right for future vehicle is there will be updates on apps and services, just like your cell phone, right. Which makes your car more capable over time and more relevant for the long term. >> So there's some assumptions you're making at the edge. First of all, you described a spectrum retail store which you know, to me, okay, it's Edge, but you can take an X-86 box or a hyper converged infrastructure throw it in there. And there's some opportunities to do some stuff in real time, but it's kind of an extension natural extension of IT. Whereas in vehicle you got to make some assumptions spotty connectivity to do software download and you can't do truck rolls at the far edge, right? None of that is okay, and so there's some assumptions there and as you say, your role is to compress the time to market, but also deliver a better consumer >> Absolutely. >> Experience, so what can we expect? You started to talk about the future of in vehicle, you know, or EVs, if you will, what should we expect as consumers? You, you're saying over the year software we're seeing that with some of the EV makers, for sure. But what's the future look like? >> I think what consumers can expect is really over a period of time, right? A similar experience, like what you have with your mobile mobile device, right? If you look back 15, 20 years, right? You buy a phone, right? That's the feature that you have with your phone, right? No update, it is what it is right, for the lifetime of the product which is pretty much what you have now, if you buy a vehicle, right. You have those features capabilities and you allow it for the lifetime of the vehicle. >> Sometimes you have to drive in for a maintenance, a service to get a software update. >> We can talk about that too right. But as we make the systems, update-able right you can now expect more frequent and seamless update of both the operating system and the application services that sit on top of that. Right, so I think right in the future consumers can expect more capable vehicles after you purchase it because new developmental software can now be done with an update over the air. >> I assume this relationship with GM is not exclusive. Are you talking with other automakers as well? >> We are talking to auto makers, other auto makers. What we working with GM is really a product that could work for the industry, right? This is actually what we both believe in is the right thing to do right? As we are able to standardize how we approach the infrastructure. I think this is a good thing for the whole industry to help accelerate innovation for the entire industry. >> Well which is sort of natural next question. Are we heading toward an open automotive platform? Like we have an open banking platform in that industry. Do you see the possibility that there could be a single platform that all or most of the auto makers will work on? >> I wouldn't use the word single, but I definitely would use the word open. Right? Our goal is to build this open platform, right. Because we believe in open source, right. We believe in community, right. If we make it open, we have more contributors to come in and help to make the system better in a way faster. And actually like you said, right. Improve the quality, right, better. Right, so that the chance of recall is now lower with, with this approach. >> You're using validated patterns as part of this initiative. Is that right? And what is a validated pattern? How is it different from a reference architecture? Is it just kind of a new name for reference architecture? or what value does it bring to the relation? >> For automotive right, we don't have a validated pattern yet but they can broadly kind of speak about what that is. >> Yeah. >> And how we see that evolve over time. So validated pattern basically is a combination of Red Hat products, multiple Red Hat products and partner products. And we usually build it for specific use case. And then we put those components together run rigorous tests to validate it that's it going to work, so that it becomes more repeatable and deployable for those particular edge use cases. Now we do work with our partners to make it happen, right. Because in the end, right we want to make a solution that is about 80% of the way and allow our partners to kind of add more value and their secret sauce on top and deploy it. Right, and I'll give you kind of one example, right You just have the interview with the Veterans Affairs team, right. One of our patents, right? The Medical Diagnosis Pattern, right. Actually we work with them in the early development stage of that. Right, what it does is to help make assessments on pneumonia with chest X rates, right. So it's a fully automated data pipeline. We get the chest x-ray from an object store use AIML to diagnose whether there's new pneumonia. And then I'll put that in a dashboard automated with the validated pattern. >> So you're not using them today, but can we expect that in the future? It sounds like >> Yes absolutely it's in the works, yes. >> It would be a perfect vertical. >> How do you believe your work with GM? I mean, has implications across Red hat? It seems like there are things you're going to be doing with GM that could affect other parts of your own product portfolio. >> Oh, absolutely. I think this actually is, it's a pivotal moment for Red Hat and the automotive industry. And I think broadly speaking for any safety conscious industry, right. As we create this Proof-point right that we can build a Linux system that is optimized for footprint performance, realtime capabilities, and be able to certify it for safety. Right I think all the adjacent industry, right. You think about transportation, healthcare, right. Industry that have tight safety requirements. It's just opened up the aperture for us to adjust those markets in the future. >> So we talked about a lot about the consumerization of IT over the last decade. Many of us feel as though that what's going on at the Edge, the innovations that are going on at the Edge realtime AI inferencing, you know, streaming data ARM, the innovations that ARM and others are performing certainly in video until we heard today, this notion of, you know, no touch, zero touch provisioning that a lot of these innovations are actually going to find their way into the enterprise. Kind of a follow on fault of what you were just talking about. And there's probably some future disruptions coming. You can almost guarantee that, I mean, 15 years or so we get that kind of disruption. How are you thinking about that? >> Well, I think you company, right. Some of the Edge innovation, right. You're going to kind of bring back to enterprise over time. Right but the one thing that you talk about zero touch provisioning right. Is critical right? You think about edge deployments. You're going to have to deal with a very diverse set of environments on how deployments are happen. Right think about like tail code based stations, right. You have somewhere between 75,000 to 100,000 base stations in the US for each provider right. How do you deploy it? Right, if you let's say you push one update or you want the provision system. So what we bring to the table in the latest open shift release is that, hey we make provisioning zero touch right, meaning you can actually do that without any menu intervention. >> Yeah, so I think the Edge is going to raise the bar for the enterprise, I guess is my premise there. >> Absolutely. >> So Francis, thanks so much for coming on The Cube. It's great to see you and congratulations on the collaboration. It's a exciting area for you guys. >> Thank you again, Dave and Paul. >> Our pleasure, all right keep it right there. After this quick break, we'll be back. Paul Gill and Dave Vellante you're watching The Cubes coverage Red Hat Summit 2022 live from the Boston Seaport. Be right back.

>>Mm. >>Okay. Hello, and welcome to the Cubes Coverage of the International Women in Tech Showcase featuring National Women's Day. I'm John for a host of the Cube. We have a great guest here of any theory a PJ head of aerospace and satellite for A W S A P J s Asia Pacific in Japan. Great to have you on many thanks for joining us. Talk about Space and International Women's Day. Thanks for coming on. >>Thanks, John. It's such a pleasure to be here with you. >>So obviously, aerospace space satellite is an area that's growing. It's changing. AWS has made a lot of strides closure, and I had a conversation last year about this. Remember when Andy Jassy told me about this initiative to 2.5 years or so ago? It was like, Wow, that makes a lot of sense Ground station, etcetera. So it just makes a lot of sense, a lot of heavy lifting, as they say in the satellite aerospace business. So you're leading the charge over there in a p J. And you're leading women in space and beyond. Tell us what's the Storey? How did you get there? What's going on. >>Thanks, John. Uh, yes. So I need the Asia Pacific business for Clint, um, as part of Amazon Web services, you know, that we have in industry business vertical that's dedicated to looking after our space and space customers. Uh, my journey began really? Three or four years ago when I started with a W s. I was based out of Australia. Uh, and Australia had a space agency that was being literally being born. Um, and I had the great privilege of meeting the country's chief scientist. At that point. That was Dr Alan Finkel. Uh, and we're having a conversation. It was really actually an education conference. And it was focused on youth and inspiring the next generation of students. Uh, and we hit upon space. Um, and we had this conversation, and at that stage, we didn't have a dedicated industry business vertical at A W s well supported space customers as much as we did many other customers in the sector, innovative customers. And after the conversation with Dr Finkel, um, he offered to introduce me, uh, to Megan Clark, who was back back then the first CEO of the Australian Space Agency. So that's literally how my journey into space started. We had a conversation. We worked out how we could possibly support the Australian Space Agency's remit and roadmap as they started growing the industry. Uh, and then a whole industry whole vertical was set up, clinic came on board. I have now a global team of experts around me. Um, you know, they've pretty much got experience from everything creating building a satellite, launching a satellite, working out how to down link process all those amazing imagery that we see because, you know, um, contrary to what a lot of people think, Uh, space is not just technology for a galaxy far, far away. It is very much tackling complex issues on earth. Um, and transforming lives with information. Um, you know, arranges for everything from wildfire detection to saving lives. Um, smart, smart agriculture for for farmers. So the time of different things that we're doing, Um, and as part of the Asia Pacific sector, uh, my task here is really just to grow the ecosystem. Women are an important part of that. We've got some stellar women out here in region, both within the AWS team, but also in our customer and partner sectors. So it's a really interesting space to be. There's a lot of challenges. There's a lot of opportunities and there's an incredible amount of growth so specific, exciting space to be >>Well, I gotta say I'm super inspired by that. One of the things that we've been talking about the Cuban I was talking to my co host for many, many years has been the democratisation of digital transformation. Cloud computing and cloud scale has democratised and change and level the playing field for many. And now space, which was it's a very complex area is being I want kind of democratised. It's easier to get access. You can launch a satellite for very low cost compared to what it was before getting access to some of the technology and with open source and with software, you now have more space computing things going on that's not out of reach. So for the people watching, share your thoughts on on that dynamic and also how people can get involved because there are real world problems to solve that can be solved now. That might have been out of reach, but now it's cloud. Can you share your thoughts. >>That's right. So you're right, John. Satellites orbiting There's more and more satellites being launched every day. The sensors are becoming more sophisticated. So we're collecting huge amounts of data. Um, one of our customers to cut lab tell us that we're collecting today three million square kilometres a day. That's gonna increase to about three billion over the next five years. So we're already reaching a point where it's impossible to store, analyse and make sense of such massive amounts of data without cloud computing. So we have services which play a very critical role. You know, technologies like artificial intelligence machine learning. Help us help these customers build up products and solutions, which then allows us to generate intelligence that's serving a lot of other sectors. So it could be agriculture. It could be disaster response and recovery. Um, it could be military intelligence. I'll give you an example of something that's very relevant, and that's happening in the last couple of weeks. So we have some amazing customers. We have Max our technologies. They use a W S to store their 100 petabytes imagery library, and they have daily collection, so they're using our ground station to gather insight about a lot of changing conditions on Earth. Usually Earth observation. That's, you know, tracking water pollution, water levels of air pollution. But they're also just tracking, um, intelligence of things like military build up in certain areas. Capella space is another one of our customers who do that. So over the last couple of weeks, maybe a couple of months, uh, we've been watching, uh, images that have been collected by these commercial satellites, and they've been chronicling the build up, for instance, of Russian forces on Ukraine's borders and the ongoing invasion. They're providing intelligence that was previously only available from government sources. So when you talk about the democratisation of space, high resolution satellite images are becoming more and more ridiculous. Um, I saw the other day there was, uh, Anderson Cooper, CNN and then behind him, a screenshot from Capella, which is satellite imagery, which is very visible, high resolution transparency, which gives, um, respected journalists and media organisations regular contact with intelligence, direct intelligence which can help support media storytelling and help with the general public understanding of the crisis like what's happening in Ukraine. And >>I think on that point is, people can relate to it. And if you think about other things with computer vision, technology is getting so much stronger. Also, there's also metadata involved. So one of the things that's coming out of this Ukraine situation not only is tracking movements with the satellites in real time, but also misinformation and disinformation. Um, that's another big area because you can, uh, it's not just the pictures, it's what they mean. So it's well beyond just satellite >>well, beyond just satellite. Yeah, and you know, not to focus on just a crisis that's happening at the moment. There's 100 other use cases which were helping with customers around the globe. I want to give you a couple of other examples because I really want people to be inspired by what we're doing with space technology. So right here in Singapore, I have a company called Hero Factory. Um, now they use AI based on Earth observation. They have an analytics platform that basically help authorities around the region make key decisions to drive sustainable practises. So change detection for shipping Singapore is, you know, it's lots of traffic. And so if there's oil spills, that can be detected and remedy from space. Um, crop productivity, fruit picking, um, even just crop cover around urban areas. You know, climate change is an increasing and another increasing, uh, challenges global challenge that we need to tackle and space space technology actually makes it possible 15 50% of what they call e CVS. Essential climate variables can only be measured from space. So we have companies like satellite through, uh, one of our UK customers who are measuring, um, uh, carbon emissions. And so the you know, the range of opportunities that are out there, like you said previously untouched. We've just opened up doors for all sorts of innovations to become possible. >>It totally is intoxicating. Some of the fun things you can discuss with not only the future but solving today's problems. So it's definitely next level kind of things happening with space and space talent. So this is where you start to get into the conversation like I know some people in these major technical instance here in the US as sophomore second year is getting job offers. So there's a There's a there's a space race for talent if you will, um and women talent in particular is there on the table to So how How can you share that discussion? Because inspiration is one thing. But then people want to know what to do to get in. So how do you, um how do you handle the recruiting and motivating and or working with organisations to just pipeline interest? Because space is one of the things you get addicted to. >>Yeah. So I'm a huge advocate for science, technology, engineering, math. We you know, we highlights them as a pathway into space into technology. And I truly believe the next generation of talent will contribute to the grand challenges of our time. Whether that climate change or sustainability, Um, it's gonna come from them. I think I think that now we at Amazon Web services. We have several programmes that we're working on to engage kids and especially girls to be equipped with the latest cloud skills. So one of the programmes that we're delivering this year across Singapore Australia uh, we're partnering with an organisation called the Institute for Space Science, Exploration and Technology and we're launching a programme called Mission Discovery. It's basically students get together with an astronaut, NASA researcher, technology experts and they get an opportunity to work with these amazing characters, too. Create and design their own project and then the winning project will be launched will be taken up to the International space station. So it's a combination of technology skills, problem solving, confidence building. It's a it's a whole range and that's you know, we that's for kids from 14 to about 18. But actually it, in fact, because the pipeline build is so important not just for Amazon Web services but for industry sector for the growth of the overall industry sector. Uh, there's several programmes that were involved in and they range from sophomore is like you said all the way to to high school college a number of different programmes. So in Singapore, specifically, we have something called cloud Ready with Amazon Web services. It's a very holistic clouds killing programme that's curated for students from primary school, high school fresh graduates and then even earlier careers. So we're really determined to work together closely and it the lines really well with the Singapore government's economic national agenda, um so that that's one way and and then we have a tonne of other programmes specifically designed for women. So last year we launched a programme called She Does It's a Free online training learning programme, and the idea is really to inspire professional women to consider a career in the technology industry and show them pathways, support them through that learning process, bring them on board, help drive a community spirit. And, you know, we have a lot of affinity groups within Amazon, whether that's women in tech or a lot of affinity groups catering for a very specific niches. And all of those we find, uh, really working well to encourage that pipeline development that you talk about and bring me people that I can work with to develop and build these amazing solutions. >>Well, you've got so much passion. And by the way, if you have, if you're interested in a track on women in space, would be happy to to support that on our site, send us storeys, we'll we'll get We'll get them documented so super important to get the voices out there. Um and we really believe in it. So we love that. I have to ask you as the head of a PJ for a W S uh aerospace and satellite. You've you've seen You've been on a bunch of missions in the space programmes of the technologies. Are you seeing how that's trajectory coming to today and now you mentioned new generation. What problems do you see that need to be solved for this next generation? What opportunities are out there that are new? Because you've got the lens of the past? You're managing a big part of this new growing emerging business for us. But you clearly see the future. And you know, the younger generation is going to solve these problems and take the opportunities. What? What are they? >>Yes, Sometimes I think we're leaving a lot, uh, to solve. And then other times, I think, Well, we started some of those conversations. We started those discussions and it's a combination of policy technology. We do a lot of business coaching, so it's not just it's not just about the technology. We do think about the broader picture. Um, technology is transferring. We know that technology is transforming economies. We know that the future is digital and that diverse backgrounds, perspective, skills and experiences, particularly those of women minority, the youth must be part of the design creation and the management of the future roadmaps. Um, in terms of how do I see this going? Well, it's been sort of we've had under representation of women and perhaps youth. We we just haven't taken that into consideration for for a long time now. Now that gap is slowly becoming. It's getting closer and closer to being closed. Overall, we're still underrepresented. But I take heart from the fact that if we look at an agency like the US Mohammed bin Rashid Space Centre, that's a relatively young space agency in your A. I think they've got about three or 400 people working for them at this point in time, and the average age of that cohort John, is 28. Some 40% of its engineers and scientists are women. Um, this year, NASA is looking to recruit more female astronauts. Um, they're looking to recruit more people with disabilities. So in terms of changing in terms of solving those problems, whatever those problems are, we started the I guess we started the right representation mix, so it doesn't matter. Bring it on, you know, whether it is climate change or this ongoing crisis, productive. Um, global crisis around the world is going to require a lot more than just a single shot answer. And I think having diversity and having that representation, we know that it makes a difference to innovation outputs. We know that it makes a difference to productivity, growth, profit. But it's also just the right thing to do for so long. We haven't got it right, and I think if we can get this right, we will be able to solve the majority of some of the biggest things that we're looking at today. >>And the diversity of problems in the diversity of talent are two different things. But they come together because you're right. It's not about technology. It's about all fields of study sociology. It could be political science. Obviously you mentioned from the situation we have now. It could be cybersecurity. Space is highly contested. We dated long chat about that on the Last Cube interview with AWS. There's all these new new problems and so problem solving skills. You don't need to have a pedigree from Ivy League school to get into space. This is a great opportunity for anyone who can solve problems because their new No one's seen them before. >>That's exactly right. And you know, every time we go out, we have sessions with students or we're at universities. We tell them, Raise your voices. Don't be afraid to use your voice. It doesn't matter what you're studying. If you think you have something of value to say, say it. You know, by pushing your own limits, you push other people's limits, and you may just introduce something that simply hasn't been part of before. So your voice is important, and we do a lot of lot of coaching encouraging, getting people just to >>talk. >>And that in itself is a great start. I think >>you're in a very complex sector, your senior leader at AWS Amazon Web services in a really fun, exciting area, aerospace and satellite. And for the young people watching out there or who may see this video, what advice would you have for the young people who are trying to navigate through the complexities of now? Third year covid. You know, seeing all the global changes, um, seeing that massive technology acceleration with digital transformation, digitisation it's here, digital world we're in. >>It could >>be confusing. It could be weird. And so how would you talk to that person and say, Hey, it's gonna be okay? And what advice would you give? >>It is absolutely going to be okay. Look, from what I know, the next general are far more fluent in digital than I am. I mean, they speak nerd. They were born speaking nerd, so I don't have any. I can't possibly tell them what to do as far as technology is concerned because they're so gung ho about it. But I would advise them to spend time with people, explore new perspectives, understand what the other is trying to do or achieve, and investing times in a time in new relationships, people with different backgrounds and experience, they almost always have something to teach you. I mean, I am constantly learning Space tech is, um it's so complicated. Um, I can't possibly learn everything I have to buy myself just by researching and studying. I am totally reliant on my community of experts to help me learn. So my advice to the next generation kids is always always in this time in relationships. And the second thing is, don't be disheartened, You know, Um this has happened for millennia. Yes, we go up, then we come down. But there's always hope. You know, there there is always that we shape the future that we want. So there's no failure. We just have to learn to be resilient. Um, yeah, it's all a learning experience. So stay positive and chin up, because we can. We can do it. >>That's awesome. You know, when you mentioned the Ukraine in the Russian situation, you know, one of the things they did they cut the Internet off and all telecommunications and Elon Musk launched a star linked and gives them access, sending them terminals again. Just another illustration. That space can help. Um, and these in any situation, whether it's conflict or peace and so Well, I have you here, I have to ask you, what is the most important? Uh uh, storeys that are being talked about or not being talked about are both that people should pay attention to. And they look at the future of what aerospace satellite these emerging technologies can do for the world. What's your How would you kind of what are the most important things to pay attention to that either known or maybe not being talked about. >>They have been talked about John, but I'd love to see more prominent. I'd love to see more conversations about stirring the amazing work that's being done in our research communities. The research communities, you know, they work in a vast area of areas and using satellite imagery, for instance, to look at climate change across the world is efforts that are going into understanding how we tackle such a global issue. But the commercialisation that comes from the research community that's pretty slow. And and the reason it's loads because one is academics, academics churning out research papers. The linkage back into industry and industry is very, um, I guess we're always looking for how fast can it be done? And what sort of marginal profit am I gonna make for it? So there's not a lot of patients there for research that has to mature, generate outputs that you get that have a meaningful value for both sides. So, um, supporting our research communities to output some of these essential pieces of research that can Dr Impact for society as a whole, Um, maybe for industry to partner even more, I mean, and we and we do that all the time. But even more focus even more. Focus on. And I'll give you a small example last last year and it culminated this earlier this month, we signed an agreement with the ministry of With the Space Office in Singapore. Uh, so it's an MOU between AWS and the Singapore government, and we are determined to help them aligned to their national agenda around space around building an ecosystem. How do we support their space builders? What can we do to create more training pathways? What credits can we give? How do we use open datasets to support Singaporeans issues? And that could be claimed? That could be kind of change. It could be, um, productivity. Farming could be a whole range of things, but there's a lot that's happening that is not highlighted because it's not sexy specific, right? It's not the Mars mission, and it's not the next lunar mission, But these things are just as important. They're just focused more on earth rather than out there. >>Yeah, and I just said everyone speaking nerd these days are born with it, the next generations here, A lot of use cases. A lot of exciting areas. You get the big headlines, you know, the space launches, but also a lot of great research. As you mentioned, that's, uh, that people are doing amazing work, and it's now available open source. Cloud computing. All this is bringing to bear great conversation. Great inspiration. Great chatting with you. Love your enthusiasm for for the opportunity. And thanks for sharing your storey. Appreciate it. >>It's a pleasure to be with you, John. Thank you for the opportunity. Okay. >>Thanks, Manny. The women in tech showcase here, the Cube is presenting International Women's Day celebration. I'm John Ferrier, host of the Cube. Thanks for watching. Mm mm.

(upbeat music) >> Welcome back to theCUBE's presentation of the AWS Executive Summit at re:Invent 2021 made possible by Accenture. My name is Dave Vellante. We're going to look at how digital infrastructure is helping to transform consumer experiences, specifically how an insurance company is changing its industry by incentivizing and rewarding consumers who changed their behavior to live healthier lives, a real passion of mine, and getting to the really root cause of health. With me now are Simon Guest, who's the Chief Executive Officer of Generali Vitality, GmbH, and Nils Muller-Sheffer, who's the Managing Director at the Cloud First Application Engineering Lead for the European market at Accenture. Gentlemen, welcome to theCUBE. >> Thanks for having us. >> You're very welcome Simon. Simon, Generali Vitality is a really interesting concept that you guys have envisioned and now put it into practice. Tell us how does it all work? >> Sure. No problem. And thanks for having us on David, pleasure to be here. So look, Generali Vitality is in its core a pretty simple concept. It's a program that you have on your phone. And the idea of this program is that it's a wellness coach for you as an individual, and it's going to help you to understand your health and where you are in terms of the state of your health at the moment, and it's going to take you on a journey to improve your lifestyle and your wellness, and hopefully help you to live a healthier and a more sort of mindful life, I guess, is the best way of summarizing it. From our point of view as an insurance company, of course, our historical role has always been to be the company that's there if something goes wrong. So if unfortunately you pass away or you have sickness in your life or your family's life, that's historically been our role. But what we see with Generali Vitality is something a little bit different. So it's a program that really is supposed to be with you every day of your life to help you to live a healthier life. It's something that we already have in for European markets and in fact, in five from this week, I'm a little bit behind the times. So we're live already in Germany, in France, in Austria, in Italy and in Spain. And fundamentally what we do Dave, is to say to customers, "Look, if you want to understand your health, if you want to improve it by moving a little bit more, or by visiting the doctor more, by eating healthier, by healthy choices on a daily basis, we're going to help you to do that. And we're going to incentivize you for going on this journey and making healthy choices. And we're going to reward you for doing the same." So, we partner up with great companies like Garmin, like Adidas, like big brands that are, let's say, invested in this health and wellness space so that we can produce really an ecosystem for customers that's all about live well, make good choices, be healthy, have an insurance company that partners you along that journey. And if you do that, we've going to reward you for that. So, we're here not just in a difficult times, which of course is one of our main roles, but we're here as a partner, as a lifetime partner to you to help you feel better and live a better life. >> I love it, I mean, it sounds so simple, but I'm sure it's very complicated to make the technology simple for the user. You've got mobile involved, you've got the back end and we're going to get into some of the tech, but first I want to understand the member engagement and some of the lifestyle changes Simon that you've analyzed. What's the feedback that you're getting from your customers? What does the data tell you? How do the incentives work as well? What is the incentive for the member to actually do the right thing? >> Sure, I think actually that the COVID situation that we've had in the last sort of two years is really crystallized the fact that this is something that we really ought to be doing and something that our customers really value. Just to give you a bit of a sort of information about how it works for our customers. So what we try to do with them, is to get customers to understand their current health situation, using their phone. So, we asked our customers to go through a sort of health assessments around how they live, what they eat, how they sleep, and to go through that sort of process and to give them all the Vitality age, which is a sort of actuarial comparison with their real age. So I'm 45, but unfortunately my Vitality age is 49 and it means I have some work to do to bring that back together. And what we see is that, two thirds of our customers take this test every year because they want to see how they are progressing on an annual basis in terms of living a healthier life. And if what they are doing is having an impact on their life expectancy and their lifespan and their health span. So how long are they going to live healthier for? So you see them really engaging in this approach of understanding that current situation. Then what we know actually, because the program is built around this model that's really activity and moving, and exercise is the biggest contributors to living a healthier life. We know that the majority of deaths are caused by lifestyle illnesses like poor nutrition and smoking and drinking alcohol and not exercising. And so a lot of the program is really built around getting people to move more. And it's not about being an athlete. It's about, getting off the underground one station earlier and walking home or making sure you do your 10,000 steps a day. And what we see is that that sort of 40% of our customers are on a regularly basis linking either their phone or their exercise device to our program and downloading that data so that they can see how much they are exercising. And at the same time, what we do is we set our customers weekly challenges to say, look, if you can move a little bit more than last week, we are go into to reward you for that. And we see that almost half of our customers are achieving this weekly goal every week. And it's really a level of engagement that normally as an insurer, we don't see. The way that rewards work is pretty simple. It's similar in a way to an airline program. So every good choice you make every activity to every piece of good food that you eat. When you check your on your health situation, we'll give you points. And the more points you get, you go through through a sort of status approach of starting off at the bottom status and ending up at a golden and a platinum status. And the higher up you get in the status, the higher the value of the rewards that we give you. So almost a quarter of our customers now, and this has accelerated through COVID have reached that platinum status. So they are the most engaged customers that we have and those ones who are really engaging in the program. And what we really tried to create is this sort of virtuous circle that says If you live well, you make good choices, you improve your health, you progress through the program and we give you better and stronger and more valuable rewards for doing that. And some of those rewards are around health and wellness. So it might be that you get a discounts on gym gear from Adidas, it might be that you get a discount on a device from Garmin, or it might be actually on other things. We also give people Amazon vouchers. We also give people discounts on holidays. And another thing that we did actually in the last year, which we found really powerful is that we've given the opportunity for our customers to convert those rewards into charitable donations. Because we work in generosity with a sort of campaign called The Human Safety Net, which is helping out the poorest people in society. And so what our customers do a lot of the time is instead of taking those financial rewards for themselves, they convert it into a charitable donation. So we're actually also linking wellness and feeling good and insurance and some societal goods. So we're really trying to create a virtuous circle of engagement with our customers. >> That's a powerful cocktail. I love it. You've got the data, because if I see the data, then I can change my behavior. You've got the gamification piece. You actually have hard dollar rewards. You could give those to charities and you've got the most important, which is priceless, you can't put a value on good health. I got one more question for Simon and Nils I'd love for you to chime in as well on this question. How did you guys decide, Simon, to engage with Accenture and AWS and the cloud to build out this platform? What's the story behind that collaboration? Was there unique value that you saw that you wanted to tap, that you feel like they bring to the table? What was your experience? >> Yeah, we work with Accenture as well because the sort of constructs of this Vitality proposition is a pretty complex one. So you mentioned that the idea is simple, but the build is not so simple and that's the case. So Accenture has been part of that journey from the beginning. They are one of the partners that we work with, but specifically around the topic of rewards, we're primarily European focused organization, but when you take those countries that I mentioned, even though we're next to each other geographically, we're quite diverse. And what we wanted to create was really a sustainable and reusable and consistent customer experience that allowed us to go get to market with an increasing amounts of efficiency. And to do that, we needed to work with somebody who understood our business, has this historical, let's say investment in the Vitality concepts and so knows how to bring it to life, but then could really support us in making what can be a complex piece of work, as simple, as replicable as possible across multiple markets, because we don't want to go reinventing the wheel every time we knew we moved to a new market. So we need to find a balance between having a consistent product, a consistent technology offer, a consistent customer experience with the fact that we operate in quite diverse markets. So this was, let's say the reason for more deeply engaging with Accenture on this journey. >> Thank you very much, Nils, why don't you comment on that as well? I'd love to get your thoughts and really is kind of your role here, an Accenture global SI, deep expertise in industry, but also technology, what are your thoughts on this topic? >> Yeah, I'd love to love to comment. So when we started the journey, it was pretty clear from the outset that we would need to build this on cloud in order to get this scalability and this ability to roll out to different markets, have a central solution that can act as a template for the different markets, but then also have the opportunity to localize different languages, different partners for the rewards, there's different reward partners in the different markets. So we needed to build an asset basically that could work as a template, centrally standardizing things, but also leaving enough flexibility to then localize in the individual markets. And if we talk about some of the most specific requirements, so one thing that gave us headaches in the beginning was the authentication of the users because each of the markets has their own systems of record where the, basically the authentication needs to happen. And if we somehow needed to still find a holistic solution that comes through the central platform, and we were able to do that at the end through the AWS cognitive service, sort of wrapping the individual markets, local IDP systems. And by now we've even extended that solution to have a standalone cloud native kind of IDP solution in place for markets that do not have a local IDP solution in place, or don't want to use it for this purpose. >> So you had data, you had the integration, you've got local laws, you mentioned the flexibility, you're building ecosystems that are unique to the local, both language and cultures. Please, you had another comment, I interrupted you. >> No, I just wanted to expand basically on the requirements. So that was the central one being able to roll this out in a standardized way across the markets, but then there were further requirements. For example, like being able to operate the platform with very low operations overhead. There is no large IT team behind Generali Vitality that, works disservice or can act as this backbone support. So we needed to have basically a solution that runs itself that runs on autopilot. And that was another big, big driver for first of all, going to cloud, but second of all, making specific choices within cloud. So we specifically chose to build this as a cloud native solution using for example, managed database services, with automatic backup, with automatic ability to restore data that scales automatically that has all this built in which usually maybe in a database administrator would take care of. And we applied that concept basically to every component, to everything we looked at, we applied this requirement of how can this run on autopilot? How can we make this as much managed by itself within the cloud as possible, and then lend it on these services. For example, we also use the API gateway from AWS for our API services that also came in handy when, for example, we had some response time issues with the third party we needed to call. And then we could just with a flick of a button basically, introduced caching on the level of the API gateway and really improve the user experience because the data wasn't updated so much, so it was easier to cache. So these are all experiences I think that that proved in the end that we made the right choices here and the requirements that drove that to have a good user experience. >> Would you say that the architecture is a sort of a, data architecture specifically, is it a decentralized data architecture with sort of federated, centralized governance? Or is it more of a centralized view, wonder if you could talk about that? >> Yeah, it's actually a centralized platform basically. So the core product is the same for all the markets and we run them as different tenants basically on top of the infrastructure. So the data is separated in a way, obviously by the different tenants, but it's in a central place and we can analyze it in a central fashion if the need arises from the business. >> And the reason I asked that Simon is because essentially I look at this as largely a data offering for your customers. And so Nils, you were talking about the local language and Simon as well. I would imagine that the local business lines have specific requirements and specific data requirements. And so you've got to build an architecture that is flexible enough to meet those needs yet at the same time can ensure data quality and governance and security. And that's not a trivial challenge. I wonder if you both could comment on that. >> Yeah, maybe I'll give a start and then Simon can chime in. So what we're specifically doing is managing the rewards experience, so our solution will take care of tracking what rewards have been earned for what customer, what rewards have been redeemed, what rewards can be unlocked on the next level, and we foreshadow a little bit to motivate incentivize the customer and asset that data sits in an AWS database by tenant fashion. And you can run analysis on top of that. Maybe what you're getting into is also the, let's say the exercise data, the fitness device tracking data that is not specifically part of what my team has built, but I'm sure Simon can comment a little bit on that angle as well. >> Yeah, please. >> Yeah, sure. I think the topic of data and how we use it in our business is a very interesting one because it's not historically been seen, let's say as the remit of insurance to go beyond the data that you need to underwrite policies or process claims or whatever it might be. But actually we see that this is a whole point around being able to create some shared value in this kind of products. And what I mean by that is, if you are a customer and you're buying an insurance policy, it might be a life insurance or health insurance policy from Generali, and we're not giving you access to this program. And through that program, you are living a healthier life and that might have a positive impact on generosity in terms of, maybe we're going to increase our market share, or maybe we are going through lower claims, or we're going to generate value of that then. One of the points of this program is we then share that value back with customers, through the rewards on the platform that we've built here. And of course, being able to understand that data and to quantify it and to value that data is an important part of the different stages of how much value you are creating. And it's also interesting to know that, in a couple of our markets, we operate in the corporate space. So not with retail customers, but with organizations. And one of the reasons that those companies give Vitality to their employees is that they want to see things like the improved health of a workforce. They want to see higher presenteeism, lower absenteeism of employees, and of course, being able to demonstrate that there's a sort of correlation between participation in the Vitality program and things like that is also important. And as we've said, the markets are very different. So we need to be able to take the data that we have out of the Vitality Program and be able in the company that I'm managing to interpret that data so that in our insurance businesses, we are able to make good decisions about kind of insurance product we have. I think what's interesting to make clear is that actually that the kind of health data that we generate states purely within the Vitality business itself and what we do inside the Vitality business is to analyze that data and say, is this also helping our insurance businesses to drive better top line and bottom line in the relevant business lines? And this is different per company. Being able to interrogate that data, understand it, apply it in different markets, in different distribution systems and different kinds of approaches to insurance is an important one, yes. >> It's an excellent example of a digital business and we talked about digital transformation. What does that mean? This is what it means. It must be really interesting board discussions because you're transforming an industry, you're lowering overall costs. I mean, if people are getting less sick, that's more profit for your company and you can choose to invest that in new products, you can give back some to your corporate clients, you can play that balancing act, you can gain market share. And you've got some knobs to turn, some levers, for your stakeholders, which is awesome. Nils, something that I'm interested in, it must've been really important for you to figure out how to determine and measure success. Obviously it's up to Generali Vitality to get adoption for their customers, but at the same time, the efficacy of your solution is going to determine, the ease of delivery and consumption. So, how did you map to the specific goals? What were some of the key KPIs in terms of mapping to their aggressive goals. >> Besides the things we already touched on, I think one thing I would mention is the timeline. So, we started the team ramping in January, February, and then within six months basically, we had the solution built and then we went through a extensive test phase. And within the next six months we had the product rolled out to three markets. So this speed to value, speed to market that we were able to achieve, I think is one of the key criteria that also Simon and team gave to us. There was a timeline and that time I was not going to move. So we needed to make a plan, adjust to that timeline. And I think it's both a testament to the team's work that we met this timeline, but it also is enabled by a technology stack cloud. I have to say, if I go back five years, 10 years, if you had to build in a solution like this on a corporate data center across so many different markets and each managed locally, there would've been no way to do this in 12 months, that's for sure. >> Yeah, Simon, you're a technology company. I mean, insurance has always been a tech heavy company, but as Nils just mentioned, if you had to do that with IT departments in each region. So my question is now you've got this, it's almost like nonrecurring engineering costs, it took one year to actually get the first one done, how fast are you able to launch into new markets just from a technology perspective, not withstanding local regulations and figuring out the go to market? Is that compressed? >> So you asked specifically technology-wise I think we would be able to set up a new market, including localizations that often involves translation of, because in Europe you have all the different languages and so on, I would say four to six weeks, we probably could stand up a localized solution. In reality, it takes more like six to nine months to get it rolled out because there's many other things involved, obviously, but just our piece of the solution, we can pretty quickly localize it to a new market. >> But Simon, that means that you can spend time on those other factors, you don't have to really worry so much about the technology. And so you've launched in multiple European markets, what do you see for the future of this program? Come to America. >> You can find that this program in America Dave, but with one of our competitors, we're not operating so much in the US, but you can find it if you want to become a customer for sure. But yes, you're right. I think from our perspective, to put this kind of business into a new market is not an easy thing because what we're doing is not offering it just as a service on a standalone basis to customers, we want to link it with insurance business. In the end, we are an insurance business, and we want to see the value that comes from that. So there's a lot of effort that has to go into making sure that we land it in the right way, also from a customer proposition points of view with our distribution, they are all quite different. Coming to the question of what's next? It comes in three stages for me. So as I mentioned, we are in five markets already. In the first half of 2022, we'll also come to the Czech Republic and Poland, which we're excited to do. And that will basically mean that we have this business in the seven main Generali markets in Europe related to life and health business, which is the most natural at let's say fit for something like Vitality. Then, the sort of second part of that is to say, we have a program that is very heavily focused around activity and rewards, and that's a good place to start, but, wellness these days is not just about, can you move a bit more than you did historically, it's also about mental wellbeing, it's about sleeping good, it's about mindfulness, it's about being able to have a more holistic approach to wellbeing and COVID has taught us, and customer feedback has taught is actually that this is something where we need to go. And here we need to have the technology to move there as well. So to be able to work with partners that are not just based on physical activity, but also on mindfulness. So this is how one other way we will develop the proposition. And I think the third one, which is more strategic and we are really looking into is, there's clearly something in the whole perception of incentives and rewards, which drives a level of engagement between an insurer like Generali and its customers that it hasn't had historically. So I think we need to learn, forgetting about the specific one or Vitality being a wellness program, but if there's an insurer, there's a role for us to play where we offer incentives to customers to do something in a specific way and reward them for doing that. And it creates value for us as an insurer, then this is probably a place that we'd want to investigate more. And to be able to do that in other areas means we need to have the technology available, that is, as I said before, replicable faster market can adapt quickly to other ideas that we have, so we can go and test those in different markets. So yes, we have to, we have to complete our scope on Vitality, We have to get that to scale and be able to manage all of this data at scale, all of those rewards that real scale, and to have the technology that allows us to do that without thinking about it too much. And then to say, okay, how do we widen the proposition? And how do we take the concept that sits behind Vitality to see if we can apply it to other areas of our business. And that's really what the future is going to look like for us. >> The isolation era really taught us that if you're not a digital business, you're out of business, and pre COVID, a lot of these stories were kind of buried, but the companies that have invested in digital are now thriving. And this is an awesome example, and another point is that Jeff Hammerbacher, one of the founders of Cloudera, early Facebook employee, famously said about 10, 12 years ago, "The best and greatest engineering minds of my generation are trying to figure out how to get people to click on ads." And this is a wonderful example of how to use data to change people's lives. So guys, congratulations, best of luck, really awesome example of applying technology to create an important societal outcome. Really appreciate your time on theCUBE. Thank you. >> Bye-bye. >> All right, and thanks for watching this segment of theCUBE's presentation of the AWS Executive Summit at re:Invent 2021 made possible by Accenture. Keep it right there for more deep dives. (upbeat music)

>>Welcome back to HPD discovered 2021. The virtual edition. My name is Dave Volonte and you're watching the cubes continuous coverage of H. P. S. Big customer event. Patrick Moorehead is here of moor insights and strategy is the number one analyst in the research analyst. Business. Patrick. Always a pleasure. Great to see you, >>David. Great to see you too. And I know you're you're up there fighting for that number one spot to. It's great to see you and it's great to see you in the meetings that were in. But it's even more fun to be here on the cube. I love to be on the cube and every once in a while you'll even call me a friend of the cube, >>unquestionably my friend and so and I can't wait second half. I mean you're traveling right now. We're headed to Barcelona to mobile World Congress later on this month. So so we're gonna we're gonna see each other face to face this year. 100%. So looking forward to that. So, you know, let's get into it. Um you know, before we get into H. P. E. Let's talk a little bit about what you're seeing in the market. We've got, you know, we we we finally, it feels like the on prem guys are finally getting their cloud act together. Um, it's maybe taken a while, but we're seeing as a service models emerge. I think it's resonating with customers. The clearly not everything is moving to the cloud. There's this hybrid model emerging. Multi cloud is real despite what, you know, >>some some >>cloud players want to say. And then there's this edges like jump ball, what are you seeing in the marketplace? >>Yeah. Davis, as exciting as ever in. Just to put in perspective, I mean, the public cloud has been around for about 10 years and still only 20%. Around 20% of the data in 20% of the applications are there now, albeit very important ones. And I'm certainly not a public cloud denier, I never have been, but there are some missing pieces that need to come together. And you know, even five years ago we were debating dave the hybrid cloud and I feel like when Amazon brought out outposts, the conversation was over right now, what you have is cloud native folks building out hybrid and on prem capabilities, you have the classic on prem folks building out hybrid and as a service capabilities. And I really think it boils down 22 things. I mean it's wanting to have more flexibility and you know, I hate to use it because it sounds like a marketing word, but agility, the ability to spin up things and spin down things in a very quick way. And uh, you know what they've learned. The veterans also know, hey, let's do this in a way that doesn't lock us in too much into a certain vendor. And I've been around for a long time. David and I'm a realist too. Well, you have to lock yourself into something. It just depends on what do you want to lock yourself into, but super exciting. And what H. P. E. When they threw the acts in the sea with Green Lake, I think it was four years ago, I think really started to stir the pot. >>You know, you mentioned the term cloud denial, but you know, and I feel like the narrative from, I like to determine is I think you should use the term veteran. You know, it's very, they're ours is the only industry patrick where legacy is a pejorative, but but but so but the point I want to make is I feel like there's been a lot of sort of fear from the veteran players, but I look at it differently. I wonder what you're taking. I think, I think, I think I calculated that the Capex spending by the big four public clouds including Alibaba last year was $100 billion. That's like a gift to the world. Here, we're going to spend $100 billion like the internet here you go build. And and so I, and I feel like companies like HP are finally saying, yeah, we're gonna build, we're gonna build a layer and we're gonna hide the complexity and we're gonna add value on top. What do you think about that? >>Yeah. So I think it's now, I wish, I wish the on prem folks like HP, you would have done it 10 years ago, but I don't think anybody expected the cloud to be as big as it's become over the last 10 years. I think we saw companies like salesforce with sas taking off, but I think it is the right direction because there are advantages to having workloads on prem and if you add an as a service capability on top of the top of that, and let's say even do a Coehlo or a managed service, it's pretty close to being similar to the public cloud with the exception, that you can't necessarily swipe a credit card for a bespoke workload if you're a developer and it is a little harder to scale out. But that is the next step in the equation day, which is having, having these folks make capital expenditures, make them in a polo facility and then put a layer to swipe a credit card and you literally have the public cloud. >>Yeah. So that's, that's a great point and that's where it's headed, isn't it? Um, so let's, let's talk about the horses on the track. Hp. As you mentioned, I didn't realize it was four years ago. I thought it was, wow, That's amazing. So everybody's followed suit. You see, Dallas announced, Cisco has announced, uh, Lenovo was announced, I think IBM as well. So we, so everybody started following suit there. The reality is, is it's taken some time to get this stuff standardized. What are you seeing from, from HP? They've made some additional announcements, discover what's your take on all this. >>Yeah. So HPD was definitely the rabbit here and they were first in the market. It was good to see, first off some of their, Um, announcements on, on how it's going. And they talked about 4, $28 billion 1200 customers over 900 partners and 95% retention. And I think that's important anybody who's in the lead and remember what Aws used to do with the slide with the amount of customers would just get bigger and bigger and bigger and that's a good way to show momentum. I like the retention part two which is 95%. And I think that that says a lot uh probably the more important announcements that they made is they talked about the G. A. Of some of their solutions on Green Lake and whether it was S. A. P. Hana Ml apps HPC with Francis V. I was Citrus in video but they also brought more of what I would call a vertical layer and I'm sure you've seen the vertical ization of all of these cloud and as a service workloads. But what they're doing with Epic with EMR and looseness, with financial payments and Splunk and intel with data and risk analysis and finally, a full stack for telco five G. One of the biggest secrets and I covered this about five years ago is HPV actually has a full stack that western european carriers use and they're now extending that to five G. And um, so more horizontal uh and and more vertical. That was the one of the big swipes uh that I saw that there was a second though, but maybe we can talk about these. >>Yeah. Okay, Okay. So, so the other piece of that of course is standardization right there there because there was a, there was, there was a lot of customization leading up to this and everybody sort of, everybody always had some kind of financial game they can play and say, hey, there's an adversary as a service model, but this is definitely more of a standardized scalable move that H P E. Is making with what they call Lighthouse, Right? >>Yeah, that's exactly right. And I've talked to some Green Lake customers and they obviously gave it kudos or they wouldn't have HP wouldn't have served them up and they wouldn't have been buying it. But they did say, um, it took, it took a while, took some paperwork to get it going. It's not 100% of push button, but that's partially because hp allows you to customize the hardware. You want a one off network adapter. Hp says yes, right. You want to integrate a different type of storage? They said yes. But with Green Lake Lighthouse, it's more of a, what you see is what you get, which by the way is very much like the public cloud or you go to a public cloud product sheet or order sheet. You're picking from a list and you really don't know everything that's underneath the covers, aside from, let's say the speed of the network, the type of the storage and the amount of the storage you get. You do get to pick between, let's say, an intel processor, Graviton two or an M. D processor. You get to pick your own GPU. But that's pretty much it. And HP Lighthouse, sorry, Green Lake Lighthouse uh, is bringing, I think a simplification to Green Lake that it needs to truly scale beyond, let's say, the white house customers at HP. Yeah, >>Well done. So, you know, and I hear your point about 10 years in, you know, plus and to me this is like a mandate. I mean, this is okay. Good, good job guys about time. But if I had a, you know, sort of look at the big players, like, can we have an oligopoly here in this, in this business? It's HP, Cisco, you got Dell Lenovo, you've got, you know, IBM, they're all doing this and they all have a different little difference, you know, waste of skin of catch. And your point about simplicity, it seems like HP HP is all in Antonio's like, okay, here's what we're going to announce that, you know, while ago, so, and they seem to have done a good job with Wall Street and they get a simple model, you know, Dell's obviously bigger portfolio, much more complicated. IBM is even more complicated than that. I don't know so much about Lenovo and in Cisco of course, has acquired a ton of SAAS companies and sort of they've got a lot of bespoke products that they're trying to put together, so they've got, but they do have SAS models. So each of them is coming at it from a different perspective. How do you think? And so and the other point we got lighthouse, which is sort of Phase one, get product market fit. Phase two now is scale codify standardized and then phase three is the moat build your unique advantage that protects your business. What do you see as HP? Es sort of unique value proposition and moat that they can build longer term. >>That's a great, great question. And let me rattle off kind of what I'm seeing that some of these these players here. So Cisco, ironically, has sells the most software of any of those players that you mentioned, uh with the exception of IBM. Um, and yeah, C >>ICSDB two. Yeah, >>yeah, they're the they're the number two security player, uh, Microsoft, number one. So and I think the evaluation on the street uh indicate that shows that I feel like uh Deltek is a is a very broad play because not only do they have servers, storage, networking and security, but they also have Pcs and devices, so it's a it's a scale and end play with a focus on VM ware solutions, not exclusively, of course. Uh And um then you've got Lenovo who is just getting into the as a service game and are gosh, they're doing great in hyper scale, they've got scale there vertically integrated. I don't know if if too many people talk about that, but Lenovo does a lot of their own manufacturing and they actually manufacture Netapp storage solutions as well. So yeah, each of these folks brings a different game to the table, I think with h P E, what your bring to the table is nimble. When HP and HP split, the number one thing that I said was that uh huh H P E is going to have to be so much faster than it offsets the scale that Dell technology has and the HBs credit, although there, I don't think we're getting credit for this in the stock market yet. Um, and I know you and I are both industry folks, not financial folks, but I think their biggest thing is speed and the ability to move faster and that is what I've seen as it relates to the moat, which is a unique uh, competitive advantage. Quite frankly, I'm still looking for that day in, in, in what that is and I think in this industry it's nearly impossible and I would posit that that any, even the cloud folks, if you say, is there something that AWS can do that Azure can't, if it put it put its mind to it or G C P. I don't think so. I think it's more of a kind of land and expand and I think for H P E, when it comes to high performance computing and I'm not just talking about government installations, I'm talking about product development, drug development, I think that is a landing place where H P E already does pretty well can come in and expand its footprint, >>you know, that's really interesting um, observations. So, and I would agree with you, it's kind of like, this is a copycat industry, it's like the west coast offense, like the NFL >>and >>so, so the moat comes from, you know, brand execution and your other point about when HP and HP split, that was a game changer, because all of a sudden you saw companies like them, you always had a long term relationship with H P E but or HP, but then they came out of the woodworks and started to explode. And so it really opened up opportunities. So it really >>is an execution, >>isn't it? But go ahead, please >>Dave if I had to pick something that I think HP HPV needs to always be ahead and as a service and listen, you know, I both know announcements don't mean delivery, but there is correlation between if you start four years ahead of somebody that other company is going to have to put just, I mean they're gonna have to turn that ship and many of its competitors really big ships to be able to get there. So I think what Antonio needs to do is run like hell, right, Because it, it, I think it is in the lead and as a service holistically doesn't mean they're going to be there forever, but they have to stay ahead. They have to add more horizontal solutions. They have to add more vertical solutions. And I believe that at some point it does need to invest in some Capex at somebody like ANna Quinn x play credit card swiper on top of that. And Dave, you have the public, you have the public cloud, you don't have all the availability zones, but you have a public cloud. >>Yeah, that's going to happen. I think you're right on. So we see this notion of cloud expanding. It's no longer just remote set of services. Somewhere out in the cloud. It's as you said, outpost was the sort of signal. Okay, We're coming on prem clearly the on prem, uh, guys are connecting to the cloud. Multi cloud exists, we know this and then there's the edge but but but that brings me to that sort of vision and everybody's laying out of this this this seamless integration hiding the complexity log into my cloud and then life will be good. But the edge is different. Right? It's not just, you know, retail store or a race track. I mean there's the far edge, there's the Tesla car, there's gonna be compute everywhere. And that sort of ties into the data. The data flows, you know the real time influencing at the edge ai new semiconductor models. You you came out of the semiconductor industry, you know it inside and out arm is exploding is dominating in the edge with with with apple and amazon Alexa and things like that. That's really where the action is. So this is a really interesting cocktail and soup that we have going on. How do you >>say? Well, you know, Dave if the data most data, I think one thing most everybody agrees on is that most of the data will be created on the edge. Whether that's a moving edge a car, a smartphone or what I call an edge data center without tile flooring. Like that server that's bolted to the wall of Mcdonald's. When you drive through, you can see it versus the walmart. Every walmart has a raised tile floor. It's the edge to economically and performance wise, it doesn't make any sense to send all that data to the mother ships. Okay. And whether that's unproven data center or the giant public cloud, more efficient way is to do the compute at the closest way possible. But what it does, it does bring up challenges. The first challenge is security. If I wanted to, I could walk in and I could take that server off the Mcdonald's or the Shell gas station wall. So I can't do that in a big data center. Okay, so security, Physical security is a challenge. The second is you don't have the people to go in there and fix stuff that are qualified. If you have a networking problem that goes wrong and Mcdonald's, there's nobody there that can help uh, they can they can help you fix that. So this notion of autonomy and management and not keeping hyper critical data sitting out there and it becomes it becomes a security issue becomes a management issue. Let me talk about the benefits though. The benefits are lower latency. You want you want answers more quickly when that car is driving down the road and it has a five G V two X communication cameras can't see around corners, but that car communicating ahead, that ran into the stop sign, can I through vi to X. Talk to the car behind it and say, hey, something is going on there, you can't go to, you can't go to the big data center in the sky to make that happen, that is to be in near real time and that computer has to happen on the edge. So I think this is a tremendous opportunity and ironically the classic on prem guys, they own this, they own this space aside from smartphones of course, but if you look at compute on a light pole, companies like Intel have built Complete architectures to do that, putting compute into 5G base stations. Heck, I just, there was an announcement this week of google cloud in its gaming solution putting compute in a carrier edge to give lower latency to deliver a better experience. >>Yeah, so there, of course there is no one edge, it's highly fragmented, but I'm interested in your thoughts on kind of who's stack actually can play at the edge. And I've been sort of poking uh H P E about this. And the one thing that comes back consistently is Aruba, we we can take a room but not only to the, to the near edge, but to the far edge. And and that, do you see that as a competitive advantage? >>Oh gosh, yes. I mean, I would say the best acquisition That hp has made in 10 years has been aruba it's fantastic. And they also managed it in the right way. I mean, it was part of HB but it was it was managed a lot more loosely then, you know, a company that might get sucked into the board. And I think that paid off tremendously. They're giving Cisco on the edge a absolute run for their money, their first with new technologies. But it's about the solution. What I love about what a ruble looks at is it's looking at entertainment solutions inside of a stadium, um a information solution inside of an airport as opposed to just pushing the technology forward. And then when you integrate compute with with with Aruba, I think that's where the real magic happens. Most of the data on a permanent basis is actually video data. And a lot of it's for security uh for surveillance. And quite frankly, people taking videos off, they're off their smartphones and downloading video. I I just interviewed the chief network officer of T mobile and their number one bit of data is video, video uploaded, video download. But that's where the magic happens when you put that connectivity and the compute together and you can manage it in a, in an orderly and secure fashion >>while I have you, we have a ton of time here, but I I don't pick your brain about intel, the future of intel. I know you've been following it quite closely, you always have Intel's fighting a forefront war. You got there, battling A. M. D. There, battling your arm slash and video. They're they're taking on TSMC now and in foundry and, and I'll add china for the looming threat there. So what's your prognosis for for intel? >>Yeah, I liked bob the previous Ceo and I think he was doing a lot of of the right things, but I really think that customers and investors and even their ecosystem wanted somebody leading the company with a high degree of technical aptitude and Pat coming, I mean, Pat had a great job at VM or, I mean, he had a great run there and I think it is a very positive move. I've never seen the energy At Intel probably in the last 10 years that I've seen today. I actually got a chance to talk with pat. I visited pat uhh last month and and talk to him about pretty much everything and where he wanted to take the company the way you looked at technology, what was important, what's not important. But I think first off in the world of semiconductors, there are no quick fixes. Okay. Intel has a another two years Before we see what the results are. And I think 2023 for them is gonna be a huge year. But even with all this competition though, Dave they still have close to 85% market share in servers and revenue share for client computing around 90%. Okay. So and they've built out there networking business, they build out a storage business um with with obtain they have the leading Aid as provider with Mobileye. And and listen I was I was one of Intel's biggest, I was into one of Intel's biggest, I was Intel's biggest customer when I was a compact. I was their biggest competitor at AMG. So um I'm not obviously not overly pushing or there's just got to wait and see. They're doing the right things. They have the right strategy. They need to execute. One of the most important things That Intel did is extend their alliance with TSMC. So in 2023 we're going to see Intel compute units these tiles, they integrate into the larger chips called S. O. C S B. Manufactured by TSMC. Not exclusively, but we could see that. So literally we could have AMG three nanometer on TSMC CPU blocks, competing with intel chips with TSMC three nanometer CPU blocks and it's on with regard to video. I mean in video is one of these companies that just keeps going charging, charging hard and I'm actually meeting with Jensen wang this week and Arms Ceo Simon Segers to talk about this opportunity and that's a company that keeps on moving interestingly enough in video. If the arm deal does go through will be the largest chip license, see CPU licensee and have the largest CPU footprint on the planet. So here we have AMG who's CPU and Gpu and buying an F. P. G. A company called Xilinx, you have Intel, Cpus, Gpus machine learning accelerators and F. P. G. S. And then you've got arms slashing video bit with everything as well. We have three massive ecosystems. They're gonna be colliding here and I think it's gonna be great for competition. Date. Competition is great. You know, when there's not competition in CPUs and Gpus, we know what happens right. Uh, the beach just does not go on and we start to stagnate. And I did, I do feel like the industry on CPU started to stagnate when intel had no competition. So bring it on. This is gonna be great for for enterprises then customers to and then, oh, by the way, you have the custom Chip providers. WS has created no less than 15 custom semiconductors started with networking and nitro and building out an edge that surrounded the general computer. And then it moved to Inferential for inference trainee um, is about to come out for training Graviton and Gravitas to for general purpose CPU and then you've got apple. So innovation is huge and I love to always make fun of the software is eating the world. I always say yeah but has to run on something. And so I think the combination of semiconductors software and cloud is just really a magical combination. >>Real quick handicap the video arm acquisition. What what are the odds that that they will be successful? They say it's on track. You got a 2 to 13 to 1 10 to 1. >>I say 75%. Yes 25%. No China is always the has been the odd odd man out for the last three years. They scuttled the Qualcomm NXp deal. You just don't know what china is going to do. I think the EU with some conditions is going to let this fly. I think the U. S. Is absolutely going to let this fly. And even though the I. P. Will still stay over in the UK, I think the U. S. Wants to see wants to see this happen, Japan and Korea I think we'll allow this china is the odd man out. >>In a word, the future of h p. E is blank >>as a service >>patrick Moorehead. Always a pleasure. My friend. Great to see you. Thanks so much for coming back in the cube. >>Yeah, Thanks for having me on. I appreciate that. >>Everybody stay tuned for more great coverage from HP discover 21 this is day Volonte for the cube. The leader and enterprise tech coverage. We'll be right back.

(upbeat music) >> Announcer: From theCUBE studios in Palo Alto in Boston connecting with thought leaders all around the world, this is theCUBE Conversation. >> Well, welcome to theCUBE Conversation here in theCUBE studios in Palo Alto, California. I'm John Furrier, your host. Got a great conversation with two great guests, going to explore the edge, what it means in terms of commercial, but also national security. And as the world goes digital, we're going to have that deep dive conversation around how it's all transforming. We've got Ki Lee, Vice President of Booz Allen's Digital Business. Ki, great to have you. John Pisano, Principal at Booz Allen's Digital Cloud Solutions. Gentlemen, thanks for coming on. >> And thanks for having us, John. >> So one of the most hottest topics, obviously besides cloud computing having the most refactoring impact on business and government and public sector has been the next phase of cloud growth and cloud scale, and that's really modern applications and consumer, and then here for national security and for governments here in the U.S. is military impact. And as digital transformation starts to go to the next level, you're starting to see the architectures emerge where the edge, the IoT edge, the industrial IoT edge, or any kind of edge concept, 5G is exploding, making that much more of a dense, more throughput for connectivity with wireless. You got Amazon with Snowball, Snowmobile, all kinds of ways to deploy technology, that's IT like and operational technologies. It's causing quite a cloud operational opportunity and disruption, so I want to get into it. Ki, let's start with you. I mean, we're looking at an architecture that's changing both commercial and public sector with the edge. What are the key considerations that you guys see as people have to really move fast in this new architecture of digital? >> Yeah, John, I think it's a great question. And if I could just share our observation on why we even started investing in edge. You mentioned the cloud, but as we've reflected upon kind of the history of IT, then you take a look from mainframes to desktops to servers to cloud to mobile and now IoT, what we observed was that industry investing in infrastructure led to kind of an evolution of IT, right? So as you mentioned, with industry spending billions on IoT and edge, we just feel that that's going to be the next evolution. If you take a look at, you mentioned 5G, I think 5G will be certainly an accelerator to edge because of the resilience, the lower latency and so forth. But taking a look at what's happening in space, you mentioned space earlier as well, right, and what Starlink is doing by putting satellites to actually provide transport into the space, we're thinking that that actually is going to be the next ubiquitous thing. Once transport becomes ubiquitous, just like cloud allows storage to be ubiquitous. We think that the next generation internet will be space-based. So when you think about it, connected, it won't be connected servers per se, it will be connected devices. >> John: Yeah, yeah. >> That's kind of some of the observations and why we've been really focusing on investing in edge. >> I want to come back to that piece around space and edge and bring it from a commercial and then also tactical architecture in a minute 'cause there's a lot to unpack there, role of open source, modern application development, software and hardware supply chains, all are core issues that are going to emerge. But I want to get with John real quick on cloud impact, because you think about 5G and the future of work or future of play, you've got people, right? So whether you're at a large concert like Coachella or a 49ers or Patriots game or Redskins game if you're in the D.C. area, you got people there, of congestion, and now you got devices now serving those people. And that's their play, people at work, whether it's a military operation, and you've got work, play, tactical edge things. How is cloud connecting? 'Cause this is like the edge has never been kind of an IT thing. It's been more of a bandwidth or either telco or something else operationally. What's the cloud at scale, cloud operations impact? >> Yeah, so if you think about how these systems are architected and you think about those considerations that Ki kind of touched on, a lot of what you have to think about now is what aspects of the application reside in the cloud, where you tend to be less constrained. And then how do you architect that application to move out towards the edge, right? So how do I tier my application? Ultimately, how do I move data and applications around the ecosystem? How do I need to evolve where my application stages things and how that data and those apps are moved to each of those different tiers? So when we build a lot of applications, especially if they're in the cloud, they're built with some of those common considerations of elasticity, scalability, all those things; whereas when you talk about congestion and disconnected operations, you lose a lot of those characteristics, and you have to kind of rethink that. >> Ki, let's get into the aspect you brought up, which is space. And then I was mentioning the tactical edge from a military standpoint. These are use cases of deployments, and in fact, this is how people have to work now. So you've got the future of work or play, and now you've got the situational deployments, whether it's a new tower of next to a stadium. We've all been at a game or somewhere or a concert where we only got five bars and no connectivity. So we know what that means. So now you have people congregating in work or play, and now you have a tactical deployment. What's the key things that you're seeing that it's going to help make that better? Are there any breakthroughs that you see that are possible? What's going on in your view? >> Yeah, I mean, I think what's enabling all of this, again, one is transport, right? So whether it's 5G to increase the speed and decrease the latency, whether it's things like Starlink with making transport and comms ubiquitous, that tied with the fact that ships continue to get smaller and faster, right? And when you're thinking about tactical edge, those devices have limited size, weight, power conditions and constraints. And so the software that goes on them has to be just as lightweight. And that's why we've actually partnered with SUSE and what they've done with K3s to do that. So I think those are some of the enabling technologies out there. John, as you've kind of alluded to it, there are additional challenges as we think about it. We're not, it's not a simple transition and monetization here, but again, we think that this will be the next major disruption. >> What do you guys think, John, if you don't mind weighing in too on this as modern application development happens, we just were covering CloudNativeCon and KubeCon, DockerCon, containers are very popular. Kubernetes is becoming super great. As you look at the telco landscape where we're kind of converging this edge, it has to be commercially enterprise grade. It has to have that transit and transport that's intelligent and all these new things. How does open source fit into all this? Because we're seeing open source becoming very reliable, more people are contributing to open source. How does that impact the edge in your opinion? >> So from my perspective, I think it's helping accelerate things that traditionally maybe may have been stuck in the traditional proprietary software confines. So within our mindset at Booz Allen, we were very focused on open architecture, open based systems, which open source obviously is an aspect of that. So how do you create systems that can easily interface with each other to exchange data, and how do you leverage tools that are available in the open source community to do that? So containerization is a big drive that is really going throughout the open source community. And there's just a number of other tools, whether it's tools that are used to provide basic services like how do I move code through a pipeline all the way through? How do I do just basic hardening and security checking of my capabilities? Historically, those have tend to be closed source type apps, whereas today you've got a very broad community that's able to very quickly provide and develop capabilities and push it out to a community that then continues to adapt and add to it or grow that library of stuff. >> Yeah, and then we've got trends like Open RAN. I saw some Ground Station for the AWS. You're starting to see Starlink, you mentioned. You're bringing connectivity to the masses. What is that going to do for operators? Because remember, security is a huge issue. We talk about security all the time. Where does that kind of come in? Because now you're really OT, which has been very purpose-built kind devices in the old IoT world. As the new IoT and the edge develop, you're going to need to have intelligence. You're going to be data-driven. There is an open source impact key. So, how, if I'm a senior executive, how do I get my arms around this? I really need to think this through because the security risks alone could be more penetration areas, more surface area. >> Right. That's a great question. And let me just address kind of the value to the clients and the end users in the digital battlefield as our warriors to increase survivability and lethality. At the end of the day from a mission perspective, we know we believe that time's a weapon. So reducing any latency in that kind of observe, orient, decide, act OODA loop is value to the war fighter. In terms of your question on how to think about this, John, you're spot on. I mean, as I've mentioned before, there are various different challenges, one, being the cyber aspect of it. We are absolutely going to be increasing our attack surface when you think about putting processing on edge devices. There are other factors too, non-technical that we've been thinking about s we've tried to kind of engender and kind of move to this kind of edge open ecosystem where we can kind of plug and play, reuse, all kind of taking the same concepts of the open-source community and open architectures. But other things that we've considered, one, workforce. As you mentioned before, when you think about these embedded systems and so forth, there aren't that many embedded engineers out there. But there is a workforce that are digital and software engineers that are trained. So how do we actually create an abstraction layer that we can leverage that workforce and not be limited by some of the constraints of the embedded engineers out there? The other thing is what we've, in talking with several colleagues, clients, partners, what people aren't thinking about is actually when you start putting software on these edge devices in the billions, the total cost of ownership. How do you maintain an enterprise that potentially consists of billions of devices? So extending the standard kind of DevSecOps that we move to automate CI/CD to a cloud, how do we move it from cloud to jet? That's kind of what we say. How do we move DevSecOps to automate secure containers all the way to the edge devices to mitigate some of those total cost of ownership challenges. >> It's interesting, as you have software defined, this embedded system discussion is hugely relevant and important because when you have software defined, you've got to be faster in the deployment of these devices. You need security, 'cause remember, supply chain on the hardware side and software in that too. >> Absolutely. >> So if you're going to have a serviceability model where you have to shift left, as they say, you got to be at the point of CI/CD flows, you need to be having security at the time of coding. So all these paradigms are new in Day-2 operations. I call it Day-0 operations 'cause it should be in everyday too. >> Yep. Absolutely. >> But you've got to service these things. So software supply chain becomes a very interesting conversation. It's a new one that we're having on theCUBE and in the industry Software supply chain is a superly relevant important topic because now you've got to interface it, not just with other software, but hardware. How do you service devices in space? You can't send a break/fix person in space. (chuckles) Maybe you will soon, but again, this brings up a whole set of issues. >> No, so I think it's certainly, I don't think anyone has the answers. We sure don't have all the answers but we're very optimistic. If you take a look at what's going on within the U.S. Air Force and what the Chief Software Officer Nic Chaillan and his team, and we're a supporter of this and a plankowner of Platform One. They were ahead of the curve in kind of commoditizing some of these DevSecOps principles in partnership with the DoD CIO and that shift left concept. They've got a certified and accredited platform that provides that DevSecOps. They have an entire repository in the Iron Bank that allows for hardened containers and reciprocity. All those things are value to the mission and around the edge because those are all accelerators. I think there's an opportunity to leverage industry kind of best practices as well and patterns there. You kind of touched upon this, John, but these devices honestly just become firmware. The software is just, if the devices themselves just become firmware , you can just put over the wire updates onto them. So I'm optimistic. I think all the piece parts are taking place across industry and in the government. And I think we're primed to kind of move into this next evolution. >> Yeah. And it's also some collaboration. What I like about, why I'm bringing up the open source angle and I think this is where I think the major focus will shift to, and I want to get your reaction to it is because open source is seeing a lot more collaboration. You mentioned some of the embedded devices. Some people are saying, this is the weakest link in the supply chain, and it can be shored up pretty quickly. But there's other data, other collective intelligence that you can get from sharing data, for instance, which hasn't really been a best practice in the cybersecurity industry. So now open source, it's all been about sharing, right? So you got the confluence of these worlds colliding, all aspects of culture and Dev and Sec and Ops and engineering all coming together. John, what's your reaction to that? Because this is a big topic. >> Yeah, so it's providing a level of transparency that historically we've not seen, right? So in that community, having those pipelines, the results of what's coming out of it, it's allowing anyone in that life cycle or that supply chain to look at it, see the state of it, and make a decision on, is this a risk I'm willing to take or not? Or am I willing to invest and personally contribute back to the community to address that because it's important to me and it's likely going to be important to some of the others that are using it? So I think it's critical, and it's enabling that acceleration and shift that I talked about, that now that everybody can see it, look inside of it, understand the state of it, contribute to it, it's allowing us to break down some of the barriers that Ki talked about. And it reinforces that excitement that we're seeing now. That community is enabling us to move faster and do things that maybe historically we've not been able to do. >> Ki, I'd love to get your thoughts. You mentioned battlefield, and I've been covering a lot of the tactical edge around the DOD's work. You mentioned about the military on the Air Force side, Platform One, I believe, was from the Air Force work that they've done, all cloud native kind of directions. But when you talk about a war field, you talk about connectivity. I mean, who controls the DNS in Taiwan, or who controls the DNS in Korea? I mean, we have to deploy, you've got to stand up infrastructure. How about agility? I mean, tactical command and control operations, this has got to be really well done. So this is not a trivial thing. >> No. >> How are you seeing this translate into the edge innovation area? (laughs) >> It's certainly not a trivial thing, but I think, again, I'm encouraged by how government and industry are partnering up. There's a vision set around this joint all domain command control, JADC2. And then all the services are getting behind that, are looking into that, and this vision of this military, internet of military things. And I think the key thing there, John, as you mentioned, it's not just the connected of the sensors, which requires the transport again, but also they have to be interoperable. So you can have a bunch of sensors and platforms out there, they may be connected, but if they can't speak to one another in a common language, that kind of defeats the purpose and the mission value of that sensor or shooter kind of paradigm that we've been striving for for ages. So you're right on. I mean, this is not a trivial thing, but I think over history we've learned quite a bit. Technology and innovation is happening at just an amazing rate where things are coming out in months as opposed to decades as before. I agree, not trivial, but again, I think there are all the piece parts in place and being put into place. >> I think you mentioned earlier that the personnel, the people, the engineers that are out there, not enough, more of them coming in. I think now the appetite and the provocative nature of this shift in tech is going to attract a lot of people because the old adage is these are hard problems attracts great people. You got in new engineering, SRE like scale engineering. You have software development, that's changing, becoming much more robust and more science-driven. You don't have to be just a coder as a software engineer. You could be coming at it from any angle. So there's a lot more opportunities from a personnel standpoint now to attract great people, and there's real hard problems to solve, not just security. >> Absolutely. Definitely. I agree with that 100%. I would also contest that it's an opportunity for innovators. We've been thinking about this for some time, and we think there's absolute value from various different use cases that we've identified, digital battlefield, force protection, disaster recovery, and so forth. But there are use cases that we probably haven't even thought about, even from a commercial perspective. So I think there's going to be an opportunity just like the internet back in the mid '90s for us to kind of innovate based on this new kind of edge environment. >> It's a revolution. New leadership, new brands are going to emerge, new paradigms, new workflows, new operations, clearly great stuff. I want to thank you guys for coming on. I also want to thank Rancher Labs for sponsoring this conversation. Without their support, we wouldn't be here. And now they were acquired by SUSE. We've covered their event with theCUBE virtual last year. What's the connection with those guys? Can you guys take a minute to explain the relationship with SUSE and Rancher? >> Yeah. So it's actually it's fortuitous. And I think we just, we got lucky. There's two overall aspects of it. First of all, we are both, we partner on the Platform One basic ordering agreement. So just there we had a common mentality of DevSecOps. And so there was a good partnership there, but then when we thought about we're engaging it from an edge perspective, the K3s, right? I mean, they're a leader from a container perspective obviously, but the fact that they are innovators around K3s to reduce that software footprint, which is required on these edge devices, we kind of got a twofer there in that partnership. >> John, any comment on your end? >> Yeah, I would just amplify, the K3s aspects in leveraging the containers, a lot of what we've seen success in when you look at what's going on, especially on that tactical edge around enabling capabilities, containers, and the portability it provides makes it very easy for us to interface and integrate a lot of different sensors to close the OODA loop to whoever is wearing or operating that a piece of equipment that the software is running on. >> Awesome, I'd love to continue the conversation on space and the edge and super great conversation to have you guys on. Really appreciate it. I do want to ask you guys about the innovation and the opportunities of this new shift that's happening as the next big thing is coming quickly. And it's here on us and that's cloud, I call it cloud 2.0, the cloud scale, modern software development environment, edge with 5G changing the game. Ki, I completely agree with you. And I think this is where people are focusing their attention from startups to companies that are transforming and re-pivoting or refactoring their existing assets to be positioned. And you're starting to see clear winners and losers. There's a pattern emerging. You got to be in the cloud, you got to be leveraging data, you got to be horizontally scalable, but you got to have AI machine learning in there with modern software practices that are secure. That's the playbook. Some people are making it. Some people are not getting there. So I'd ask you guys, as telcos become super important and the ability to be a telco now, we just mentioned standing up a tactical edge, for instance. Launching a satellite, a couple of hundred K, you can launch a CubeSat. That could be good and bad. So the telco business is changing radically. Cloud, telco cloud is emerging as an edge phenomenon with 5G, certainly business commercial benefits more than consumer. How do you guys see the innovation and disruption happening with telco? >> As we think through cloud to edge, one thing that we realize, because our definition of edge, John, was actually at the point of data collection on the sensor themselves. Others' definition of edge is we're a little bit further back, what we call it the edge of the IT enterprise. But as we look at this, we realize that you needed this kind of multi echelon environment from your cloud to your tactical clouds where you can do some processing and then at the edge of themselves. Really at the end of the day, it's all about, I think, data, right? I mean, everything we're talking about, it's still all about the data, right? The AI needs the data, the telco is transporting the data. And so I think if you think about it from a data perspective in relationship to the telcos, one, edge will actually enable a very different paradigm and a distributed paradigm for data processing. So, hey, instead of bringing the data to some central cloud which takes bandwidth off your telcos, push the products to the data. So mitigate what's actually being sent over those telco lines to increase the efficiencies of them. So I think at the end of the day, the telcos are going to have a pretty big component to this, even from space down to ground station, how that works. So the network of these telcos, I think, are just going to expand. >> John, what's your perspective? I mean, startups are coming out. The scalability, speed of innovation is a big factor. The old telco days had, I mean, months and years, new towers go up and now you got a backbone. It's kind of a slow glacier pace. Now it's under siege with rapid innovation. >> Yeah, so I definitely echo the sentiments that Ki would have, but I would also, if we go back and think about the digital battle space and what we've talked about, faster speeds being available in places it's not been before is great. However, when you think about facing an adversary that's a near-peer threat, the first thing they're going to do is make it contested, congested, and you have to be able to survive. While yes, the pace of innovation is absolutely pushing comms to places we've not had it before, we have to be mindful to not get complacent and over-rely on it, assuming it'll always be there. 'Cause I know in my experience wearing the uniform, and even if I'm up against an adversary, that's the first thing I'm going to do is I'm going to do whatever I can to disrupt your ability to communicate. So how do you take it down to that lowest level and still make that squad, the platoon, whatever that structure is, continue survivable and lethal. So that's something I think, as we look at the innovations, we need to be mindful of that. So when I talk about how do you architect it? What services do you use? Those are all those things that you have to think about. What if I lose it at this echelon? How do I continue the mission? >> Yeah, it's interesting. And if you look at how companies have been procuring and consuming technology, Ki, it's been like siloed. "Okay, we've got a workplace workforce project, and we have the tactical edge, and we have the siloed IT solution," when really work and play, whether it's work here in John's example, is the war fighter. And so his concern is safety, his life and protection. >> Yeah. >> The other department has to manage the comms, (laughs) and so they have to have countermeasures and contingencies ready to go. So all this is, they all integrate it now. It's not like one department. It's like it's together. >> Yeah. John, I love what you just said. I mean, we have to get away from this siloed thinking not only within a single organization, but across the enterprise. From a digital battlefield perspective, it's a joint fight, so even across these enterprise of enterprises, So I think you're spot on. We have to look horizontally. We have to integrate, we have to inter-operate, and by doing that, that's where the innovation is also going to be accelerated too, not reinventing the wheel. >> Yeah, and I think the infrastructure edge is so key. It's going to be very interesting to see how the existing incumbents can handle themselves. Obviously the towers are important. 5G obviously, that's more deployments, not as centralized in terms of the spectrum. It's more dense. It's going to create more connectivity options. How do you guys see that impacting? Because certainly more gear, like obviously not the centralized tower, from a backhaul standpoint but now the edge, the radios themselves, the wireless transit is key. That's the real edge here. How do you guys see that evolving? >> We're seeing a lot of innovations actually through small companies who are really focused on very specific niche problems. I think it's a great starting point because what they're doing is showing the art of the possible. Because again, we're in a different environment now. There's different rules. There's different capabilities. But then we're also seeing, you mentioned earlier on, some of the larger companies, the Amazons, the Microsofts, also investing as well. So I think the merge of the, you know, or the unconstrained or the possible by these small companies that are just kind of driving innovations supported by the maturity and the heft of these large companies who are building out these hardened kind of capabilities, they're going to converge at some point. And that's where I think we're going to get further innovation. >> Well, I really appreciate you guys taking the time. Final question for you guys, as people are watching this, a lot of smart executives and teams are coming together to kind of put the battle plans together for their companies as they transition from old to this new way, which is clearly cloud-scale, role of data. We hit out all the key points I think here. As they start to think about architecture and how they deploy their resources, this becomes now the new boardroom conversation that trickles down and includes everyone, including the developers. The developers are now going to be on the front lines. Mid-level managers are going to be integrated in as well. It's a group conversation. What are some of the advice that you would give to folks who are in this mode of planning architecture, trying to be positioned to come out of this pandemic with a massive growth opportunity and to be on the right side of history? What's your advice? >> It's such a great question. So I think you touched upon it. One is take the holistic approach. You mentioned architectures a couple of times, and I think that's critical. Understanding how your edge architectures will let you connect with your cloud architecture so that they're not disjointed, they're not siloed. They're interoperable, they integrate. So you're taking that enterprise approach. I think the second thing is be patient. It took us some time to really kind of, and we've been looking at this for about three years now. And we were very intentional in assessing the landscape, how people were discussing around edge and kind of pulling that all together. But it took us some time to even figure it out, hey, what are the use cases? How can we actually apply this and get some ROI and value out for our clients? So being a little bit patient in thinking through kind of how we can leverage this and potentially be a disruptor. >> John, your thoughts on advice to people watching as they try to put the right plans together to be positioned and not foreclose any future value. >> Yeah, absolutely. So in addition to the points that Ki raised, I would, number one, amplify the fact of recognize that you're going to have a hybrid environment of legacy and modern capabilities. And in addition to thinking open architectures and whatnot, think about your culture, the people, your processes, your techniques and whatnot, and your governance. How do you make decisions when it needs to be closed versus open? Where do you invest in the workforce? What decisions are you going to make in your architecture that drive that hybrid world that you're going to live in? All those recipes, patience, open, all that, that I think we often overlook the cultural people aspect of upskilling. This is a very different way of thinking on modern software delivery. How do you go through this lifecycle? How's security embedded? So making sure that's part of that boardroom conversation I think is key. >> John Pisano, Principal at Booz Allen Digital Cloud Solutions, thanks for sharing that great insight. Ki Lee, Vice President at Booz Allen Digital Business. Gentlemen, great conversation. Thanks for that insight. And I think people watching are going to probably learn a lot on how to evaluate startups to how they put their architecture together. So I really appreciate the insight and commentary. >> Thank you. >> Thank you, John. >> Okay. I'm John Furrier. This is theCUBE Conversation. Thanks for watching. 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>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE in ETR. This is Breaking Analysis with Dave Vellante. >> Cloud computing has been the single most transformative force in IT over the last decade. As we enter the 2020s, we believe that cloud will become the underpinning of a ubiquitous, intelligent and autonomous resource that will disrupt the operational stacks of virtually every company in every industry. Welcome to this week's special edition of Wikibon's CUBE Insights Powered by ETR. In this breaking analysis, and as part of theCUBE365's coverage of AWS re:Invent 2020, we're going to put forth our scenario for the next decade of cloud evolution. We'll also drill into the most recent data on AWS from ETR's October 2020 survey of more than 1,400 CIOs and IT professionals. So let's get right into it and take a look at how we see the cloud of yesterday, today and tomorrow. This graphic shows our view of the critical inflection points that catalyze the cloud adoption. In the middle of the 2000s, the IT industry was recovering from the shock of the dot-com bubble and of course 9/11. CIOs, they were still licking their wounds from the narrative, does IT even matter? AWS launched its Simple Storage Service and later EC2 with a little fanfare in 2006, but developers at startups and small businesses, they noticed that overnight AWS turned the data center into an API. Analysts like myself who saw the writing on the wall and CEO after CEO, they poo-pooed Amazon's entrance into their territory and they promised a cloud strategy that would allow them to easily defend their respective turfs. We'd seen the industry in denial before, and this was no different. The financial crisis was a boon for the cloud. CFOs saw a way to conserve cash, shift CAPEX to OPEX and avoid getting locked in to long-term capital depreciation schedules or constrictive leases. We also saw shadow IT take hold, and then bleed in to the 2010s in a big way. This of course created problems for organizations rightly concerned about security and rogue tech projects. CIOs were asked to come in and clean up the crime scene, and in doing so, realized the inevitable, i.e., that they could transform their IT operational models, shift infrastructure management to more strategic initiatives, and drop money to the bottom lines of their businesses. The 2010s saw an era of rapid innovation and a level of data explosion that we'd not seen before. AWS led the charge with a torrent pace of innovation via frequent rollouts or frequent feature rollouts. Virtually every industry, including the all-important public sector, got into the act. Again, led by AWS with the Seminole, a CIA deal. Google got in the game early, but they never really took the enterprise business seriously until 2015 when it hired Diane Green. But Microsoft saw the opportunity and leaned in heavily and made remarkable strides in the second half of the decade, leveraging its massive software stake. The 2010s also saw the rapid adoption of containers and an exit from the long AI winter, which along with the data explosion, created new workloads that began to go mainstream. Now, during this decade, we saw hybrid investments begin to take shape and show some promise. As the ecosystem realized broadly that it had to play in the AWS sandbox or it would lose customers. And we also saw the emergence of edge and IoT use cases like for example, AWS Ground Station, those emerge. Okay, so that's a quick history of cloud from our vantage point. The question is, what's coming next? What should we expect over the next decade? Whereas the last 10 years was largely about shifting the heavy burden of IT infrastructure management to the cloud, in the coming decade, we see the emergence of a true digital revolution. And most people agree that COVID has accelerated this shift by at least two to three years. We see all industries as ripe for disruption as they create a 360 degree view across their operational stacks. Meaning, for example, sales, marketing, customer service, logistics, etc., they're unified such that the customer experience is also unified. We see data flows coming together as well, where domain-specific knowledge workers are first party citizens in the data pipeline, i.e. not subservient to hyper-specialized technology experts. No industry is safe from this disruption. And the pandemic has given us a glimpse of what this is going to look like. Healthcare is going increasingly remote and becoming personalized. Machines are making more accurate diagnoses than humans, in some cases. Manufacturing, we'll see new levels of automation. Digital cash, blockchain and new payment systems will challenge traditional banking norms. Retail has been completely disrupted in the last nine months, as has education. And we're seeing the rise of Tesla as a possible harbinger to a day where owning and driving your own vehicle could become the exception rather than the norm. Farming, insurance, on and on and on. Virtually every industry will be transformed as this intelligent, responsive, autonomous, hyper-distributed system provides services that are ubiquitous and largely invisible. How's that for some buzzwords? But I'm here to tell you, it's coming. Now, a lot of questions remain. First, you may even ask, is this cloud that you're talking about? And I can understand why some people would ask that question. And I would say this, the definition of cloud is expanding. Cloud has defined the consumption model for technology. You're seeing cloud-like pricing models moving on-prem with initiatives like HPE's GreenLake and now Dell's APEX. SaaS pricing is evolving. You're seeing companies like Snowflake and Datadog challenging traditional SaaS models with a true cloud consumption pricing option. Not option, that's the way they price. And this, we think, is going to become the norm. Now, as hybrid cloud emerges and pushes to the edge, the cloud becomes this what we call, again, hyper-distributed system with a deployment and programming model that becomes much more uniform and ubiquitous. So maybe this s-curve that we've drawn here needs an adjacent s-curve with a steeper vertical. This decade, jumping s-curves, if you will, into this new era. And perhaps the nomenclature evolves, but we believe that cloud will still be the underpinning of whatever we call this future platform. We also point out on this chart, that public policy is going to evolve to address the privacy and concentrated industry power concerns that will vary by region and geography. So we don't expect the big tech lash to abate in the coming years. And finally, we definitely see alternative hardware and software models emerging, as witnessed by Nvidia and Arm and DPA's from companies like Fungible, and AWS and others designing their own silicon for specific workloads to control their costs and reduce their reliance on Intel. So the bottom line is that we see programming models evolving from infrastructure as code to programmable digital businesses, where ecosystems power the next wave of data creation, data sharing and innovation. Okay, let's bring it back to the current state and take a look at how we see the market for cloud today. This chart shows a just-released update of our IaaS and PaaS revenue for the big three cloud players, AWS, Azure, and Google. And you can see we've estimated Q4 revenues for each player and the full year, 2020. Now please remember our normal caveats on this data. AWS reports clean numbers, whereas Azure and GCP are estimates based on the little tidbits and breadcrumbs each company tosses our way. And we add in our own surveys and our own information from theCUBE Network. Now the following points are worth noting. First, while AWS's growth is lower than the other two, note what happens with the laws of large numbers? Yes, growth slows down, but the absolute dollars are substantial. Let me give an example. For AWS, Azure and Google, in Q4 2020 versus Q4 '19, we project annual quarter over quarter growth rate of 25% for AWS, 46% for Azure and 58% for Google Cloud Platform. So meaningfully lower growth rates for AWS compared to the other two. Yet AWS's revenue in absolute terms grows sequentially, 11.6 billion versus 12.4 billion. Whereas the others are flat to down sequentially. Azure and GCP, they'll have to come in with substantially higher annual growth to increase revenue from Q3 to Q4, that sequential increase that AWS can achieve with lower growth rates year to year, because it's so large. Now, having said that, on an annual basis, you can see both Azure and GCP are showing impressive growth in both percentage and absolute terms. AWS is going to add more than $10 billion to its revenue this year, with Azure growing nearly 9 billion or adding nearly 9 billion, and GCP adding just over 3 billion. So there's no denying that Azure is making ground as we've been reporting. GCP still has a long way to go. Thirdly, we also want to point out that these three companies alone now account for nearly $80 billion in infrastructure services annually. And the IaaS and PaaS business for these three companies combined is growing at around 40% per year. So much for repatriation. Now, let's take a deeper look at AWS specifically and bring in some of the ETR survey data. This wheel chart that we're showing here really shows you the granularity of how ETR calculates net score or spending momentum. Now each quarter ETR, they go get responses from thousands of CIOs and IT buyers, and they ask them, are you spending more or less than a particular platform or vendor? Net score is derived by taking adoption plus increase and subtracting out decrease plus replacing. So subtracting the reds from the greens. Now remember, AWS is a $45 billion company, and it has a net score of 51%. So despite its exposure to virtually every industry, including hospitality and airlines and other hard hit sectors, far more customers are spending more with AWS than are spending less. Now let's take a look inside of the AWS portfolio and really try to understand where that spending goes. This chart shows the net score across the AWS portfolio for three survey dates going back to last October, that's the gray. The summer is the blue. And October 2020, the most recent survey, is the yellow. Now remember, net score is an indicator of spending velocity and despite the deceleration, as shown in the yellow bars, these are very elevated net scores for AWS. Only Chime video conferencing is showing notable weakness in the AWS data set from the ETR survey, with an anemic 7% net score. But every other sector has elevated spending scores. Let's start with Lambda on the left-hand side. You can see that Lambda has a 65% net score. Now for context, very few companies have net scores that high. Snowflake and Kubernetes spend are two examples with higher net scores. But this is rarefied air for AWS Lambda, i.e. functions. Similarly, you can see AI, containers, cloud, cloud overall and analytics all with over 50% net scores. Now, while database is still elevated with a 46% net score, it has come down from its highs of late. And perhaps that's because AWS has so many options in database and its own portfolio and its ecosystem, and the survey maybe doesn't have enough granularity there, but in this competition, so I don't really know, but that's something that we're watching. But overall, there's a very strong portfolio from a spending momentum standpoint. Now what we want to do, let's flip the view and look at defections off of the AWS platform. Okay, look at this chart. We find this mind-boggling. The chart shows the same portfolio view, but isolates on the bright red portion of that wheel that I showed you earlier, the replacements. And basically you're seeing very few defections show up for AWS in the ETR survey. Again, only Chime is the sore spot. But everywhere else in the portfolio, we're seeing low single digit replacements. That's very, very impressive. Now, one more data chart. And then I want to go to some direct customer feedback, and then we'll wrap. Now we've shown this chart before. It plots net score or spending velocity on the vertical axis and market share, which measures pervasiveness in the dataset on the horizontal axis. And in the table portion in the upper-right corner, you can see the actual numbers that drive the plotting position. And you can see the data confirms what we know. This is a two-horse race right now between AWS and Microsoft. Google, they're kind of hanging out with the on-prem crowd vying for relevance at the data center. We've talked extensively about how we would like to see Google evolve its business and rely less on appropriating our data to serve ads and focus more on cloud. There's so much opportunity there. But nonetheless, you can see the so-called hybrid zone emerging. Hybrid is becoming real. Customers want hybrid and AWS is going to have to learn how to support hybrid deployments with offerings like outposts and others. But the data doesn't lie. The foundation has been set for the 2020s and AWS is extremely well-positioned to maintain its leadership, in our view. Now, the last chart we'll show takes some verbatim comments from customers that sum up the situation. These quotes were pulled from several ETR event roundtables that occurred in 2020. The first one talks to the cloud compute bill. It spikes and sometimes can be unpredictable. The second comment is from a CIO at IT/Telco. Let me paraphrase what he or she is saying. AWS is leading the pack and is number one. And this individual believes that AWS will continue to be number one by a wide margin. The third quote is from a CTO at an S&P 500 organization who talks to the cloud independence of the architecture that they're setting up and the strategy that they're pursuing. The central concern of this person is the software engineering pipeline, the cICB pipeline. The strategy is to clearly go multicloud, avoid getting locked in and ensuring that developers can be productive and independent of the cloud platform. Essentially separating the underlying infrastructure from the software development process. All right, let's wrap. So we talked about how the cloud will evolve to become an even more hyper-distributed system that can sense, act and serve, and provides sets of intelligence services on which digital businesses will be constructed and transformed. We expect AWS to continue to lead in this build-out with its heritage of delivering innovations and features at a torrid pace. We believe that ecosystems will become the main spring of innovation in the coming decade. And we feel that AWS has to embrace not only hybrid, but cross-cloud services. And it has to be careful not to push its ecosystem partners to competitors. It has to walk a fine line between competing and nurturing its ecosystem. To date, its success has been key to that balance as AWS has been able to, for the most part, call the shots. However, we shall see if competition and public policy attenuate its dominant position in this regard. What will be fascinating to watch is how AWS behaves, given its famed customer obsession and how it decodes the customer's needs. As Steve Jobs famously said, "Some people say, give the customers what they want. "That's not my approach. "Our job is to figure out "what they're going to want before they do." I think Henry Ford once asked, "If I'd ask customers what they wanted, "they would've told me a faster horse." Okay, that's it for now. It was great having you for this special report from theCUBE Insights Powered by ETR. Keep it right there for more great content on theCUBE from re:Invent 2020 virtual. (cheerful music)

>>from around the globe. It's the Q. With digital coverage >>of exa scale day made possible by Hewlett Packard Enterprise. We're back at the celebration of Exa Scale Day. This is Dave Volant, and I'm pleased to welcome to great guests Brian Dance Berries Here. Here's what The ISS Program Science office at the Johnson Space Center. And Dr Mark Fernandez is back. He's the Americas HPC technology officer at Hewlett Packard Enterprise. Gentlemen, welcome. >>Thank you. Yeah, >>well, thanks for coming on. And, Mark, Good to see you again. And, Brian, I wonder if we could start with you and talk a little bit about your role. A T. I s s program Science office as a scientist. What's happening these days? What are you working on? >>Well, it's been my privilege the last few years to be working in the, uh, research integration area of of the space station office. And that's where we're looking at all of the different sponsors NASA, the other international partners, all the sponsors within NASA, and, uh, prioritizing what research gets to go up to station. What research gets conducted in that regard. And to give you a feel for the magnitude of the task, but we're coming up now on November 2nd for the 20th anniversary of continuous human presence on station. So we've been a space faring society now for coming up on 20 years, and I would like to point out because, you know, as an old guy myself, it impresses me. That's, you know, that's 25% of the US population. Everybody under the age of 20 has never had a moment when they were alive and we didn't have people living and working in space. So Okay, I got off on a tangent there. We'll move on in that 20 years we've done 3000 experiments on station and the station has really made ah, miraculously sort of evolution from, ah, basic platform, what is now really fully functioning national lab up there with, um, commercially run research facilities all the time. I think you can think of it as the world's largest satellite bus. We have, you know, four or five instruments looking down, measuring all kinds of things in the atmosphere during Earth observation data, looking out, doing astrophysics, research, measuring cosmic rays, X ray observatory, all kinds of things, plus inside the station you've got racks and racks of experiments going on typically scores, you know, if not more than 50 experiments going on at any one time. So, you know, the topic of this event is really important. Doesn't NASA, you know, data transmission Up and down, all of the cameras going on on on station the experiments. Um, you know, one of one of those astrophysics observatory's you know, it has collected over 15 billion um uh, impact data of cosmic rays. And so the massive amounts of data that that needs to be collected and transferred for all of these experiments to go on really hits to the core. And I'm glad I'm able toe be here and and speak with you today on this. This topic. >>Well, thank you for that, Bryan. A baby boomer, right? Grew up with the national pride of the moon landing. And of course, we've we've seen we saw the space shuttle. We've seen international collaboration, and it's just always been something, you know, part of our lives. So thank you for the great work that you guys were doing their mark. You and I had a great discussion about exa scale and kind of what it means for society and some of the innovations that we could maybe expect over the coming years. Now I wonder if you could talk about some of the collaboration between what you guys were doing and Brian's team. >>Uh, yeah, so yes, indeed. Thank you for having me early. Appreciate it. That was a great introduction. Brian, Uh, I'm the principal investigator on Space Born computer, too. And as the two implies, where there was one before it. And so we worked with Bryant and his team extensively over the past few years again high performance computing on board the International Space Station. Brian mentioned the thousands of experiments that have been done to date and that there are currently 50 orm or going on at any one time. And those experiments collect data. And up until recently, you've had to transmit that data down to Earth for processing. And that's a significant amount of bandwidth. Yeah, so with baseball and computer to we're inviting hello developers and others to take advantage of that onboard computational capability you mentioned exa scale. We plan to get the extra scale next year. We're currently in the era that's called PETA scale on. We've been in the past scale era since 2000 and seven, so it's taken us a while to make it that next lead. Well, 10 years after Earth had a PETA scale system in 2017 were able to put ah teraflop system on the International space station to prove that we could do a trillion calculations a second in space. That's where the data is originating. That's where it might be best to process it. So we want to be able to take those capabilities with us. And with H. P. E. Acting as a wonderful partner with Brian and NASA and the space station, we think we're able to do that for many of these experiments. >>It's mind boggling you were talking about. I was talking about the moon landing earlier and the limited power of computing power. Now we've got, you know, water, cool supercomputers in space. I'm interested. I'd love to explore this notion of private industry developing space capable computers. I think it's an interesting model where you have computer companies can repurpose technology that they're selling obviously greater scale for space exploration and apply that supercomputing technology instead of having government fund, proprietary purpose built systems that air. Essentially, you use case, if you will. So, Brian, what are the benefits of that model? The perhaps you wouldn't achieve with governments or maybe contractors, you know, kind of building these proprietary systems. >>Well, first of all, you know, any any tool, your using any, any new technology that has, you know, multiple users is going to mature quicker. You're gonna have, you know, greater features, greater capabilities, you know, not even talking about computers. Anything you're doing. So moving from, you know, governor government is a single, um, you know, user to off the shelf type products gives you that opportunity to have things that have been proven, have the technology is fully matured. Now, what had to happen is we had to mature the space station so that we had a platform where we could test these things and make sure they're gonna work in the high radiation environments, you know, And they're gonna be reliable, because first, you've got to make sure that that safety and reliability or taken care of so that that's that's why in the space program you're gonna you're gonna be behind the times in terms of the computing power of the equipment up there because, first of all and foremost, you needed to make sure that it was reliable and say, Now, my undergraduate degree was in aerospace engineering and what we care about is aerospace engineers is how heavy is it, how big and bulky is it because you know it z expensive? You know, every pound I once visited Gulfstream Aerospace, and they would pay their employees $1000 that they could come up with a way saving £1 in building that aircraft. That means you have more capacity for flying. It's on the orders of magnitude. More important to do that when you're taking payloads to space. So you know, particularly with space born computer, the opportunity there to use software and and check the reliability that way, Uh, without having to make the computer, you know, radiation resistance, if you will, with heavy, you know, bulky, um, packaging to protect it from that radiation is a really important thing, and it's gonna be a huge advantage moving forward as we go to the moon and on to Mars. >>Yeah, that's interesting. I mean, your point about cots commercial off the shelf technology. I mean, that's something that obviously governments have wanted to leverage for a long, long time for many, many decades. But but But Mark the issue was always the is. Brian was just saying the very stringent and difficult requirements of space. Well, you're obviously with space Born one. You got to the point where you had visibility of the economics made sense. It made commercial sense for companies like Hewlett Packard Enterprise. And now we've sort of closed that gap to the point where you're sort of now on that innovation curve. What if you could talk about that a little bit? >>Yeah, absolutely. Brian has some excellent points, you know, he said, anything we do today and requires computers, and that's absolutely correct. So I tell people that when you go to the moon and when you go to the Mars, you probably want to go with the iPhone 10 or 11 and not a flip phone. So before space born was sent up, you went with 2000 early two thousands computing technology there which, like you said many of the people born today weren't even around when the space station began and has been occupied so they don't even know how to program or use that type of computing. Power was based on one. We sent the exact same products that we were shipping to customers today, so they are current state of the art, and we had a mandate. Don't touch the hardware, have all the protection that you can via software. So that's what we've done. We've got several philosophical ways to do that. We've implemented those in software. They've been successful improving in the space for one, and now it's space born to. We're going to begin the experiments so that the rest of the community so that the rest of the community can figure out that it is economically viable, and it will accelerate their research and progress in space. I'm most excited about that. Every venture into space as Brian mentioned will require some computational capability, and HP has figured out that the economics air there we need to bring the customers through space ball into in order for them to learn that we are reliable but current state of the art, and that we could benefit them and all of humanity. >>Guys, I wanna ask you kind of a two part question. And, Brian, I'll start with you and it z somewhat philosophical. Uh, I mean, my understanding was and I want to say this was probably around the time of the Bush administration w two on and maybe certainly before that, but as technology progress, there was a debate about all right, Should we put our resource is on moon because of the proximity to Earth? Or should we, you know, go where no man has gone before and or woman and get to Mars? Where What's the thinking today, Brian? On that? That balance between Moon and Mars? >>Well, you know, our plans today are are to get back to the moon by 2024. That's the Artemus program. Uh, it's exciting. It makes sense from, you know, an engineering standpoint. You take, you know, you take baby steps as you continue to move forward. And so you have that opportunity, um, to to learn while you're still, you know, relatively close to home. You can get there in days, not months. If you're going to Mars, for example, toe have everything line up properly. You're looking at a multi year mission you know, it may take you nine months to get there. Then you have to wait for the Earth and Mars to get back in the right position to come back on that same kind of trajectory. So you have toe be there for more than a year before you can turn around and come back. So, you know, he was talking about the computing power. You know, right now that the beautiful thing about the space station is, it's right there. It's it's orbiting above us. It's only 250 miles away. Uh, so you can test out all of these technologies. You can rely on the ground to keep track of systems. There's not that much of a delay in terms of telemetry coming back. But as you get to the moon and then definitely is, you get get out to Mars. You know, there are enough minutes delay out there that you've got to take the computing power with you. You've got to take everything you need to be able to make those decisions you need to make because there's not time to, um, you know, get that information back on the ground, get back get it back to Earth, have people analyze the situation and then tell you what the next step is to do. That may be too late. So you've got to think the computing power with you. >>So extra scale bring some new possibilities. Both both for, you know, the moon and Mars. I know Space Born one did some simulations relative. Tomorrow we'll talk about that. But But, Brian, what are the things that you hope to get out of excess scale computing that maybe you couldn't do with previous generations? >>Well, you know, you know, market on a key point. You know, bandwidth up and down is, of course, always a limitation. In the more computing data analysis you can do on site, the more efficient you could be with parsing out that that bandwidth and to give you ah, feel for just that kind of think about those those observatory's earth observing and an astronomical I was talking about collecting data. Think about the hours of video that are being recorded daily as the astronauts work on various things to document what they're doing. They many of the biological experiments, one of the key key pieces of data that's coming back. Is that video of the the microbes growing or the plants growing or whatever fluid physics experiments going on? We do a lot of colloids research, which is suspended particles inside ah liquid. And that, of course, high speed video. Is he Thio doing that kind of research? Right now? We've got something called the I s s experience going on in there, which is basically recording and will eventually put out a syriza of basically a movie on virtual reality recording. That kind of data is so huge when you have a 360 degree camera up there recording all of that data, great virtual reality, they There's still a lot of times bringing that back on higher hard drives when the space six vehicles come back to the Earth. That's a lot of data going on. We recorded videos all the time, tremendous amount of bandwidth going on. And as you get to the moon and as you get further out, you can a man imagine how much more limiting that bandwidth it. >>Yeah, We used to joke in the old mainframe days that the fastest way to get data from point a to Point B was called C Tam, the Chevy truck access method. Just load >>up a >>truck, whatever it was, tapes or hard drive. So eso and mark, of course space born to was coming on. Spaceport one really was a pilot, but it proved that the commercial computers could actually work for long durations in space, and the economics were feasible. Thinking about, you know, future missions and space born to What are you hoping to accomplish? >>I'm hoping to bring. I'm hoping to bring that success from space born one to the rest of the community with space born to so that they can realize they can do. They're processing at the edge. The purpose of exploration is insight, not data collection. So all of these experiments begin with data collection. Whether that's videos or samples are mold growing, etcetera, collecting that data, we must process it to turn it into information and insight. And the faster we can do that, the faster we get. Our results and the better things are. I often talk Thio College in high school and sometimes grammar school students about this need to process at the edge and how the communication issues can prevent you from doing that. For example, many of us remember the communications with the moon. The moon is about 250,000 miles away, if I remember correctly, and the speed of light is 186,000 miles a second. So even if the speed of light it takes more than a second for the communications to get to the moon and back. So I can remember being stressed out when Houston will to make a statement. And we were wondering if the astronauts could answer Well, they answered as soon as possible. But that 1 to 2 second delay that was natural was what drove us crazy, which made us nervous. We were worried about them in the success of the mission. So Mars is millions of miles away. So flip it around. If you're a Mars explorer and you look out the window and there's a big red cloud coming at you that looks like a tornado and you might want to do some Mars dust storm modeling right then and there to figure out what's the safest thing to do. You don't have the time literally get that back to earth have been processing and get you the answer back. You've got to take those computational capabilities with you. And we're hoping that of these 52 thousands of experiments that are on board, the SS can show that in order to better accomplish their missions on the moon. And Omar, >>I'm so glad you brought that up because I was gonna ask you guys in the commercial world everybody talks about real time. Of course, we talk about the real time edge and AI influencing and and the time value of data I was gonna ask, you know, the real time, Nous, How do you handle that? I think Mark, you just answered that. But at the same time, people will say, you know, the commercial would like, for instance, in advertising. You know, the joke the best. It's not kind of a joke, but the best minds of our generation tryingto get people to click on ads. And it's somewhat true, unfortunately, but at any rate, the value of data diminishes over time. I would imagine in space exploration where where you're dealing and things like light years, that actually there's quite a bit of value in the historical data. But, Mark, you just You just gave a great example of where you need real time, compute capabilities on the ground. But but But, Brian, I wonder if I could ask you the value of this historic historical data, as you just described collecting so much data. Are you? Do you see that the value of that data actually persists over time, you could go back with better modeling and better a i and computing and actually learn from all that data. What are your thoughts on that, Brian? >>Definitely. I think the answer is yes to that. And, you know, as part of the evolution from from basically a platform to a station, we're also learning to make use of the experiments in the data that we have there. NASA has set up. Um, you know, unopened data access sites for some of our physical science experiments that taking place there and and gene lab for looking at some of the biological genomic experiments that have gone on. And I've seen papers already beginning to be generated not from the original experimenters and principal investigators, but from that data set that has been collected. And, you know, when you're sending something up to space and it to the space station and volume for cargo is so limited, you want to get the most you can out of that. So you you want to be is efficient as possible. And one of the ways you do that is you collect. You take these earth observing, uh, instruments. Then you take that data. And, sure, the principal investigators air using it for the key thing that they designed it for. But if that data is available, others will come along and make use of it in different ways. >>Yeah, So I wanna remind the audience and these these these air supercomputers, the space born computers, they're they're solar powered, obviously, and and they're mounted overhead, right? Is that is that correct? >>Yeah. Yes. Space borne computer was mounted in the overhead. I jokingly say that as soon as someone could figure out how to get a data center in orbit, they will have a 50 per cent denser data station that we could have down here instead of two robes side by side. You can also have one overhead on. The power is free. If you can drive it off a solar, and the cooling is free because it's pretty cold out there in space, so it's gonna be very efficient. Uh, space borne computer is the most energy efficient computer in existence. Uh, free electricity and free cooling. And now we're offering free cycles through all the experimenters on goal >>Eso Space born one exceeded its mission timeframe. You were able to run as it was mentioned before some simulations for future Mars missions. And, um and you talked a little bit about what you want to get out of, uh, space born to. I mean, are there other, like, wish list items, bucket bucket list items that people are talking about? >>Yeah, two of them. And these air kind of hypothetical. And Brian kind of alluded to them. Uh, one is having the data on board. So an example that halo developers talk to us about is Hey, I'm on Mars and I see this mold growing on my potatoes. That's not good. So let me let me sample that mold, do a gene sequencing, and then I've got stored all the historical data on space borne computer of all the bad molds out there and let me do a comparison right then and there before I have dinner with my fried potato. So that's that's one. That's very interesting. A second one closely related to it is we have offered up the storage on space borne computer to for all of your raw data that we process. So, Mr Scientist, if if you need the raw data and you need it now, of course, you can have it sent down. But if you don't let us just hold it there as long as they have space. And when we returned to Earth like you mentioned, Patrick will ship that solid state disk back to them so they could have a new person, but again, reserving that network bandwidth, uh, keeping all that raw data available for the entire duration of the mission so that it may have value later on. >>Great. Thank you for that. I want to end on just sort of talking about come back to the collaboration between I S s National Labs and Hewlett Packard Enterprise, and you've got your inviting project ideas using space Bourne to during the upcoming mission. Maybe you could talk about what that's about, and we have A We have a graphic we're gonna put up on DSM information that you can you can access. But please, mark share with us what you're planning there. >>So again, the collaboration has been outstanding. There. There's been a mention off How much savings is, uh, if you can reduce the weight by a pound. Well, our partners ice s national lab and NASA have taken on that cost of delivering baseball in computer to the international space station as part of their collaboration and powering and cooling us and giving us the technical support in return on our side, we're offering up space borne computer to for all the onboard experiments and all those that think they might be wanting doing experiments on space born on the S s in the future to take advantage of that. So we're very, very excited about that. >>Yeah, and you could go toe just email space born at hp dot com on just float some ideas. I'm sure at some point there'll be a website so you can email them or you can email me david dot volonte at at silicon angle dot com and I'll shoot you that that email one or that website once we get it. But, Brian, I wanna end with you. You've been so gracious with your time. Uh, yeah. Give us your final thoughts on on exa scale. Maybe how you're celebrating exa scale day? I was joking with Mark. Maybe we got a special exa scale drink for 10. 18 but, uh, what's your final thoughts, Brian? >>Uh, I'm going to digress just a little bit. I think I think I have a unique perspective to celebrate eggs a scale day because as an undergraduate student, I was interning at Langley Research Center in the wind tunnels and the wind tunnel. I was then, um, they they were very excited that they had a new state of the art giant room size computer to take that data we way worked on unsteady, um, aerodynamic forces. So you need a lot of computation, and you need to be ableto take data at a high bandwidth. To be able to do that, they'd always, you know, run their their wind tunnel for four or five hours. Almost the whole shift. Like that data and maybe a week later, been ableto look at the data to decide if they got what they were looking for? Well, at the time in the in the early eighties, this is definitely the before times that I got there. They had they had that computer in place. Yes, it was a punchcard computer. It was the one time in my life I got to put my hands on the punch cards and was told not to drop them there. Any trouble if I did that. But I was able thio immediately after, uh, actually, during their run, take that data, reduce it down, grabbed my colored pencils and graph paper and graph out coefficient lift coefficient of drag. Other things that they were measuring. Take it back to them. And they were so excited to have data two hours after they had taken it analyzed and looked at it just pickled them. Think that they could make decisions now on what they wanted to do for their next run. Well, we've come a long way since then. You know, extra scale day really, really emphasizes that point, you know? So it really brings it home to me. Yeah. >>Please, no, please carry on. >>Well, I was just gonna say, you know, you talked about the opportunities that that space borne computer provides and and Mark mentioned our colleagues at the I S s national lab. You know, um, the space station has been declared a national laboratory, and so about half of the, uh, capabilities we have for doing research is a portion to the national lab so that commercial entities so that HP can can do these sorts of projects and universities can access station and and other government agencies. And then NASA can focus in on those things we want to do purely to push our exploration programs. So the opportunities to take advantage of that are there marks opening up the door for a lot of opportunities. But others can just Google S s national laboratory and find some information on how to get in the way. Mark did originally using s national lab to maybe get a good experiment up there. >>Well, it's just astounding to see the progress that this industry is made when you go back and look, you know, the early days of supercomputing to imagine that they actually can be space born is just tremendous. Not only the impacts that it can have on Space six exploration, but also society in general. Mark Wayne talked about that. Guys, thanks so much for coming on the Cube and celebrating Exa scale day and helping expand the community. Great work. And, uh, thank you very much for all that you guys dio >>Thank you very much for having me on and everybody out there. Let's get the XO scale as quick as we can. Appreciate everything you all are >>doing. Let's do it. >>I've got a I've got a similar story. Humanity saw the first trillion calculations per second. Like I said in 1997. And it was over 100 racks of computer equipment. Well, space borne one is less than fourth of Iraq in only 20 years. So I'm gonna be celebrating exa scale day in anticipation off exa scale computers on earth and soon following within the national lab that exists in 20 plus years And being on Mars. >>That's awesome. That mark. Thank you for that. And and thank you for watching everybody. We're celebrating Exa scale day with the community. The supercomputing community on the Cube Right back

>>from around the globe. It's the Q with digital coverage of exa scale day made possible by Hewlett Packard Enterprise. Welcome, everyone to the Cube celebration of Exa Scale Day. Shaheen Khan is here. He's the founding partner, an analyst at Orion X And, among other things, he is the co host of Radio free HPC Shaheen. Welcome. Thanks for coming on. >>Thanks for being here, Dave. Great to be here. How are you >>doing? Well, thanks. Crazy with doing these things, Cove in remote interviews. I wish we were face to face at us at a supercomputer show, but, hey, this thing is working. We can still have great conversations. And And I love talking to analysts like you because you bring an independent perspective. You're very wide observation space. So So let me, Like many analysts, you probably have sort of a mental model or a market model that you look at. So maybe talk about your your work, how you look at the market, and we could get into some of the mega trends that you see >>very well. Very well. Let me just quickly set the scene. We fundamentally track the megatrends of the Information Age And, of course, because we're in the information age, digital transformation falls out of that. And the megatrends that drive that in our mind is Ayotte, because that's the fountain of data five G. Because that's how it's gonna get communicated ai and HBC because that's how we're gonna make sense of it Blockchain and Cryptocurrencies because that's how it's gonna get transacted on. That's how value is going to get transferred from the place took place and then finally, quantum computing, because that exemplifies how things are gonna get accelerated. >>So let me ask you So I spent a lot of time, but I D. C and I had the pleasure of of the High Performance computing group reported into me. I wasn't an HPC analyst, but over time you listen to those guys, you learning. And as I recall, it was HPC was everywhere, and it sounds like we're still seeing that trend where, whether it was, you know, the Internet itself were certainly big data, you know, coming into play. Uh, you know, defense, obviously. But is your background mawr HPC or so that these other technologies that you're talking about it sounds like it's your high performance computing expert market watcher. And then you see it permeating into all these trends. Is that a fair statement? >>That's a fair statement. I did grow up in HPC. My first job out of school was working for an IBM fellow doing payroll processing in the old days on and and And it went from there, I worked for Cray Research. I worked for floating point systems, so I grew up in HPC. But then, over time, uh, we had experiences outside of HPC. So for a number of years, I had to go do commercial enterprise computing and learn about transaction processing and business intelligence and, you know, data warehousing and things like that, and then e commerce and then Web technology. So over time it's sort of expanded. But HPC is a like a bug. You get it and you can't get rid of because it's just so inspiring. So supercomputing has always been my home, so to say >>well and so the reason I ask is I wanted to touch on a little history of the industry is there was kind of a renaissance in many, many years ago, and you had all these startups you had Kendall Square Research Danny Hillis thinking machines. You had convex trying to make many supercomputers. And it was just this This is, you know, tons of money flowing in and and then, you know, things kind of consolidate a little bit and, uh, things got very, very specialized. And then with the big data craze, you know, we've seen HPC really at the heart of all that. So what's your take on on the ebb and flow of the HPC business and how it's evolved? >>Well, HBC was always trying to make sense of the world, was trying to make sense of nature. And of course, as much as we do know about nature, there's a lot we don't know about nature and problems in nature are you can classify those problems into basically linear and nonlinear problems. The linear ones are easy. They've already been solved. The nonlinear wants. Some of them are easy. Many of them are hard, the nonlinear, hard, chaotic. All of those problems are the ones that you really need to solve. The closer you get. So HBC was basically marching along trying to solve these things. It had a whole process, you know, with the scientific method going way back to Galileo, the experimentation that was part of it. And then between theory, you got to look at the experiment and the data. You kind of theorize things. And then you experimented to prove the theories and then simulation and using the computers to validate some things eventually became a third pillar of off science. On you had theory, experiment and simulation. So all of that was going on until the rest of the world, thanks to digitization, started needing some of those same techniques. Why? Because you've got too much data. Simply, there's too much data to ship to the cloud. There's too much data to, uh, make sense of without math and science. So now enterprise computing problems are starting to look like scientific problems. Enterprise data centers are starting to look like national lab data centers, and there is that sort of a convergence that has been taking place gradually, really over the past 34 decades. And it's starting to look really, really now >>interesting, I want I want to ask you about. I was like to talk to analysts about, you know, competition. The competitive landscape is the competition in HPC. Is it between vendors or countries? >>Well, this is a very interesting thing you're saying, because our other thesis is that we are moving a little bit beyond geopolitics to techno politics. And there are now, uh, imperatives at the political level that are driving some of these decisions. Obviously, five G is very visible as as as a piece of technology that is now in the middle of political discussions. Covert 19 as you mentioned itself, is a challenge that is a global challenge that needs to be solved at that level. Ai, who has access to how much data and what sort of algorithms. And it turns out as we all know that for a I, you need a lot more data than you thought. You do so suddenly. Data superiority is more important perhaps than even. It can lead to information superiority. So, yeah, that's really all happening. But the actors, of course, continue to be the vendors that are the embodiment of the algorithms and the data and the systems and infrastructure that feed the applications. So to say >>so let's get into some of these mega trends, and maybe I'll ask you some Colombo questions and weaken geek out a little bit. Let's start with a you know, again, it was one of this when I started the industry. It's all it was a i expert systems. It was all the rage. And then we should have had this long ai winter, even though, you know, the technology never went away. But But there were at least two things that happened. You had all this data on then the cost of computing. You know, declines came down so so rapidly over the years. So now a eyes back, we're seeing all kinds of applications getting infused into virtually every part of our lives. People trying to advertise to us, etcetera. Eso So talk about the intersection of AI and HPC. What are you seeing there? >>Yeah, definitely. Like you said, I has a long history. I mean, you know, it came out of MIT Media Lab and the AI Lab that they had back then and it was really, as you mentioned, all focused on expert systems. It was about logical processing. It was a lot of if then else. And then it morphed into search. How do I search for the right answer, you know, needle in the haystack. But then, at some point, it became computational. Neural nets are not a new idea. I remember you know, we had we had a We had a researcher in our lab who was doing neural networks, you know, years ago. And he was just saying how he was running out of computational power and we couldn't. We were wondering, you know what? What's taking all this difficult, You know, time. And it turns out that it is computational. So when deep neural nets showed up about a decade ago, arm or it finally started working and it was a confluence of a few things. Thalib rhythms were there, the data sets were there, and the technology was there in the form of GPS and accelerators that finally made distractible. So you really could say, as in I do say that a I was kind of languishing for decades before HPC Technologies reignited it. And when you look at deep learning, which is really the only part of a I that has been prominent and has made all this stuff work, it's all HPC. It's all matrix algebra. It's all signal processing algorithms. are computational. The infrastructure is similar to H B. C. The skill set that you need is the skill set of HPC. I see a lot of interest in HBC talent right now in part motivated by a I >>mhm awesome. Thank you on. Then I wanna talk about Blockchain and I can't talk about Blockchain without talking about crypto you've written. You've written about that? I think, you know, obviously supercomputers play a role. I think you had written that 50 of the top crypto supercomputers actually reside in in China A lot of times the vendor community doesn't like to talk about crypto because you know that you know the fraud and everything else. But it's one of the more interesting use cases is actually the primary use case for Blockchain even though Blockchain has so much other potential. But what do you see in Blockchain? The potential of that technology And maybe we can work in a little crypto talk as well. >>Yeah, I think 11 simple way to think of Blockchain is in terms off so called permission and permission less the permission block chains or when everybody kind of knows everybody and you don't really get to participate without people knowing who you are and as a result, have some basis to trust your behavior and your transactions. So things are a lot calmer. It's a lot easier. You don't really need all the supercomputing activity. Whereas for AI the assertion was that intelligence is computer herbal. And with some of these exa scale technologies, we're trying to, you know, we're getting to that point for permission. Less Blockchain. The assertion is that trust is computer ble and, it turns out for trust to be computer ble. It's really computational intensive because you want to provide an incentive based such that good actors are rewarded and back actors. Bad actors are punished, and it is worth their while to actually put all their effort towards good behavior. And that's really what you see, embodied in like a Bitcoin system where the chain has been safe over the many years. It's been no attacks, no breeches. Now people have lost money because they forgot the password or some other. You know, custody of the accounts have not been trustable, but the chain itself has managed to produce that, So that's an example of computational intensity yielding trust. So that suddenly becomes really interesting intelligence trust. What else is computer ble that we could do if we if we had enough power? >>Well, that's really interesting the way you described it, essentially the the confluence of crypto graphics software engineering and, uh, game theory, Really? Where the bad actors air Incentive Thio mined Bitcoin versus rip people off because it's because because there are lives better eso eso so that so So Okay, so make it make the connection. I mean, you sort of did. But But I want to better understand the connection between, you know, supercomputing and HPC and Blockchain. We know we get a crypto for sure, like in mind a Bitcoin which gets harder and harder and harder. Um and you mentioned there's other things that we can potentially compute on trust. Like what? What else? What do you thinking there? >>Well, I think that, you know, the next big thing that we are really seeing is in communication. And it turns out, as I was saying earlier, that these highly computational intensive algorithms and models show up in all sorts of places like, you know, in five g communication, there's something called the memo multi and multi out and to optimally manage that traffic such that you know exactly what beam it's going to and worth Antenna is coming from that turns out to be a non trivial, you know, partial differential equation. So next thing you know, you've got HPC in there as and he didn't expect it because there's so much data to be sent, you really have to do some data reduction and data processing almost at the point of inception, if not at the point of aggregation. So that has led to edge computing and edge data centers. And that, too, is now. People want some level of computational capability at that place like you're building a microcontroller, which traditionally would just be a, you know, small, low power, low cost thing. And people want victor instructions. There. People want matrix algebra there because it makes sense to process the data before you have to ship it. So HPCs cropping up really everywhere. And then finally, when you're trying to accelerate things that obviously GP use have been a great example of that mixed signal technologies air coming to do analog and digital at the same time, quantum technologies coming so you could do the you know, the usual analysts to buy to where you have analog, digital, classical quantum and then see which, you know, with what lies where all of that is coming. And all of that is essentially resting on HBC. >>That's interesting. I didn't realize that HBC had that position in five G with multi and multi out. That's great example and then I o t. I want to ask you about that because there's a lot of discussion about real time influencing AI influencing at the edge on you're seeing sort of new computing architectures, potentially emerging, uh, video. The acquisition of arm Perhaps, you know, amore efficient way, maybe a lower cost way of doing specialized computing at the edge it, But it sounds like you're envisioning, actually, supercomputing at the edge. Of course, we've talked to Dr Mark Fernandez about space born computers. That's like the ultimate edge you got. You have supercomputers hanging on the ceiling of the International space station, but But how far away are we from this sort of edge? Maybe not. Space is an extreme example, but you think factories and windmills and all kinds of edge examples where supercomputing is is playing a local role. >>Well, I think initially you're going to see it on base stations, Antenna towers, where you're aggregating data from a large number of endpoints and sensors that are gathering the data, maybe do some level of local processing and then ship it to the local antenna because it's no more than 100 m away sort of a thing. But there is enough there that that thing can now do the processing and do some level of learning and decide what data to ship back to the cloud and what data to get rid of and what data to just hold. Or now those edge data centers sitting on top of an antenna. They could have a half a dozen GPS in them. They're pretty powerful things. They could have, you know, one they could have to, but but it could be depending on what you do. A good a good case study. There is like surveillance cameras. You don't really need to ship every image back to the cloud. And if you ever need it, the guy who needs it is gonna be on the scene, not back at the cloud. So there is really no sense in sending it, Not certainly not every frame. So maybe you can do some processing and send an image every five seconds or every 10 seconds, and that way you can have a record of it. But you've reduced your bandwidth by orders of magnitude. So things like that are happening. And toe make sense of all of that is to recognize when things changed. Did somebody come into the scene or is it just you know that you know, they became night, So that's sort of a decision. Cannot be automated and fundamentally what is making it happen? It may not be supercomputing exa scale class, but it's definitely HPCs, definitely numerically oriented technologies. >>Shane, what do you see happening in chip architectures? Because, you see, you know the classical intel they're trying to put as much function on the real estate as possible. We've seen the emergence of alternative processors, particularly, uh, GP use. But even if f b g A s, I mentioned the arm acquisition, so you're seeing these alternative processors really gain momentum and you're seeing data processing units emerge and kind of interesting trends going on there. What do you see? And what's the relationship to HPC? >>Well, I think a few things are going on there. Of course, one is, uh, essentially the end of Moore's law, where you cannot make the cycle time be any faster, so you have to do architectural adjustments. And then if you have a killer app that lends itself to large volume, you can build silicon. That is especially good for that now. Graphics and gaming was an example of that, and people said, Oh my God, I've got all these cores in there. Why can't I use it for computation? So everybody got busy making it 64 bit capable and some grass capability, And then people say, Oh, I know I can use that for a I And you know, now you move it to a I say, Well, I don't really need 64 but maybe I can do it in 32 or 16. So now you do it for that, and then tens, of course, come about. And so there's that sort of a progression of architecture, er trumping, basically cycle time. That's one thing. The second thing is scale out and decentralization and distributed computing. And that means that the inter communication and intra communication among all these notes now becomes an issue big enough issue that maybe it makes sense to go to a DPU. Maybe it makes sense to go do some level of, you know, edge data centers like we were talking about on then. The third thing, really is that in many of these cases you have data streaming. What is really coming from I o t, especially an edge, is that data is streaming and when data streaming suddenly new architectures like F B G. A s become really interesting and and and hold promise. So I do see, I do see FPG's becoming more prominent just for that reason, but then finally got a program all of these things on. That's really a difficulty, because what happens now is that you need to get three different ecosystems together mobile programming, embedded programming and cloud programming. And those are really three different developer types. You can't hire somebody who's good at all three. I mean, maybe you can, but not many. So all of that is challenges that are driving this this this this industry, >>you kind of referred to this distributed network and a lot of people you know, they refer to this. The next generation cloud is this hyper distributed system. When you include the edge and multiple clouds that etcetera space, maybe that's too extreme. But to your point, at least I inferred there's a There's an issue of Leighton. See, there's the speed of light s So what? What? What is the implication then for HBC? Does that mean I have tow Have all the data in one place? Can I move the compute to the data architecturally, What are you seeing there? >>Well, you fundamentally want to optimize when to move data and when to move, Compute. Right. So is it better to move data to compute? Or is it better to bring compute to data and under what conditions? And the dancer is gonna be different for different use cases. It's like, really, is it worth my while to make the trip, get my processing done and then come back? Or should I just developed processing capability right here? Moving data is really expensive and relatively speaking. It has become even more expensive, while the price of everything has dropped down its price has dropped less than than than like processing. So it is now starting to make sense to do a lot of local processing because processing is cheap and moving data is expensive Deep Use an example of that, Uh, you know, we call this in C two processing like, you know, let's not move data. If you don't have to accept that we live in the age of big data, so data is huge and wants to be moved. And that optimization, I think, is part of what you're what you're referring to. >>Yeah, So a couple examples might be autonomous vehicles. You gotta have to make decisions in real time. You can't send data back to the cloud flip side of that is we talk about space borne computers. You're collecting all this data You can at some point. You know, maybe it's a year or two after the lived out its purpose. You ship that data back and a bunch of disk drives or flash drives, and then load it up into some kind of HPC system and then have at it and then you doom or modeling and learn from that data corpus, right? I mean those air, >>right? Exactly. Exactly. Yeah. I mean, you know, driverless vehicles is a great example, because it is obviously coming fast and furious, no pun intended. And also, it dovetails nicely with the smart city, which dovetails nicely with I o. T. Because it is in an urban area. Mostly, you can afford to have a lot of antenna, so you can give it the five g density that you want. And it requires the Layton sees. There's a notion of how about if my fleet could communicate with each other. What if the car in front of me could let me know what it sees, That sort of a thing. So, you know, vehicle fleets is going to be in a non opportunity. All of that can bring all of what we talked about. 21 place. >>Well, that's interesting. Okay, so yeah, the fleets talking to each other. So kind of a Byzantine fault. Tolerance. That problem that you talk about that z kind of cool. I wanna I wanna sort of clothes on quantum. It's hard to get your head around. Sometimes You see the demonstrations of quantum. It's not a one or zero. It could be both. And you go, What? How did come that being so? And And of course, there it's not stable. Uh, looks like it's quite a ways off, but the potential is enormous. It's of course, it's scary because we think all of our, you know, passwords are already, you know, not secure. And every password we know it's gonna get broken. But give us the give us the quantum 101 And let's talk about what the implications. >>All right, very well. So first off, we don't need to worry about our passwords quite yet. That that that's that's still ways off. It is true that analgesic DM came up that showed how quantum computers can fact arise numbers relatively fast and prime factory ization is at the core of a lot of cryptology algorithms. So if you can fact arise, you know, if you get you know, number 21 you say, Well, that's three times seven, and those three, you know, three and seven or prime numbers. Uh, that's an example of a problem that has been solved with quantum computing, but if you have an actual number, would like, you know, 2000 digits in it. That's really harder to do. It's impossible to do for existing computers and even for quantum computers. Ways off, however. So as you mentioned, cubits can be somewhere between zero and one, and you're trying to create cubits Now there are many different ways of building cubits. You can do trapped ions, trapped ion trapped atoms, photons, uh, sometimes with super cool, sometimes not super cool. But fundamentally, you're trying to get these quantum level elements or particles into a superimposed entanglement state. And there are different ways of doing that, which is why quantum computers out there are pursuing a lot of different ways. The whole somebody said it's really nice that quantum computing is simultaneously overhyped and underestimated on. And that is that is true because there's a lot of effort that is like ways off. On the other hand, it is so exciting that you don't want to miss out if it's going to get somewhere. So it is rapidly progressing, and it has now morphed into three different segments. Quantum computing, quantum communication and quantum sensing. Quantum sensing is when you can measure really precise my new things because when you perturb them the quantum effects can allow you to measure them. Quantum communication is working its way, especially in financial services, initially with quantum key distribution, where the key to your cryptography is sent in a quantum way. And the data sent a traditional way that our efforts to do quantum Internet, where you actually have a quantum photon going down the fiber optic lines and Brookhaven National Labs just now demonstrated a couple of weeks ago going pretty much across the, you know, Long Island and, like 87 miles or something. So it's really coming, and and fundamentally, it's going to be brand new algorithms. >>So these examples that you're giving these air all in the lab right there lab projects are actually >>some of them are in the lab projects. Some of them are out there. Of course, even traditional WiFi has benefited from quantum computing or quantum analysis and, you know, algorithms. But some of them are really like quantum key distribution. If you're a bank in New York City, you very well could go to a company and by quantum key distribution services and ship it across the you know, the waters to New Jersey on that is happening right now. Some researchers in China and Austria showed a quantum connection from, like somewhere in China, to Vienna, even as far away as that. When you then put the satellite and the nano satellites and you know, the bent pipe networks that are being talked about out there, that brings another flavor to it. So, yes, some of it is like real. Some of it is still kind of in the last. >>How about I said I would end the quantum? I just e wanna ask you mentioned earlier that sort of the geopolitical battles that are going on, who's who are the ones to watch in the Who? The horses on the track, obviously United States, China, Japan. Still pretty prominent. How is that shaping up in your >>view? Well, without a doubt, it's the US is to lose because it's got the density and the breadth and depth of all the technologies across the board. On the other hand, information age is a new eyes. Their revolution information revolution is is not trivial. And when revolutions happen, unpredictable things happen, so you gotta get it right and and one of the things that these technologies enforce one of these. These revolutions enforce is not just kind of technological and social and governance, but also culture, right? The example I give is that if you're a farmer, it takes you maybe a couple of seasons before you realize that you better get up at the crack of dawn and you better do it in this particular season. You're gonna starve six months later. So you do that to three years in a row. A culture has now been enforced on you because that's how it needs. And then when you go to industrialization, you realize that Gosh, I need these factories. And then, you know I need workers. And then next thing you know, you got 9 to 5 jobs and you didn't have that before. You don't have a command and control system. You had it in military, but not in business. And and some of those cultural shifts take place on and change. So I think the winner is going to be whoever shows the most agility in terms off cultural norms and governance and and and pursuit of actual knowledge and not being distracted by what you think. But what actually happens and Gosh, I think these exa scale technologies can make the difference. >>Shaheen Khan. Great cast. Thank you so much for joining us to celebrate the extra scale day, which is, uh, on 10. 18 on dso. Really? Appreciate your insights. >>Likewise. Thank you so much. >>All right. Thank you for watching. Keep it right there. We'll be back with our next guest right here in the Cube. We're celebrating Exa scale day right back.

>> Hi everyone, this is Dave Vellante and I want to welcome you to our celebration of Exascale Day. A community event with support from Hewlett Packard Enterprise. Now, Exascale Day is October 18th, that's 10, 18 as in 10 to the power of 18. And on that day we celebrate the scientists, and researchers, who make breakthrough discoveries, with the assistance, of some of the most sophisticated supercomputers in the world. Ones that can run and Exascale. Now in this program, we're going to kick off the weekend and discuss the significance of Exascale computing, how we got here, why it's so challenging to get to the point where we're at now where we can perform almost, 10 to the 18th floating point operations per second. Or an exaFLOP. We should be there by 2021. And importantly, what innovations and possibilities Exascale computing will unlock. So today, we got a great program for you. We're not only going to dig into a bit of the history of supercomputing, we're going to talk with experts, folks like Dr. Ben Bennett, who's doing and some work with the UK government. And he's going to talk about some of the breakthroughs that we can expect with Exascale. You'll also hear from experts like, Professor Mark Parsons of the University of Edinburgh, who cut his teeth at CERN, in Geneva. And Dr. Brian Pigeon Nuskey of Purdue University, who's studying buyer diversity. We're going to also hear about supercomputers in space as we get as a great action going on with supercomputers up at the International Space Station. Let me think about that, powerful high performance water-cooled supercomputers, running on solar, and mounted overhead, that's right. Even though at the altitude at the International Space Station, there's 90% of the Earth's gravity. Objects, including humans they're essentially in a state of free fall. At 400 kilometers above earth, there no air. You're in a vacuum. Like have you ever been on the Tower of Terror at Disney? In that free fall ride, or a nosedive in an airplane, I have. And if you have binoculars around your neck, they would float. So the supercomputers can actually go into the ceiling, crazy right? And that's not all. We're going to hear from experts on what the exascale era. will usher in for not only space exploration, but things like weather forecasting, life sciences, complex modeling, and all types of scientific endeavors. So stay right there for all the great content. You can use the #ExascaleDay on Twitter, and, enjoy the program. Thanks everybody for watching.

>>from around the globe. It's the Cube covering >>space and cybersecurity. Symposium 2020 hosted by Cal Poly >>Over On Welcome to this Special virtual conference. The Space and Cybersecurity Symposium 2020 put on by Cal Poly with support from the Cube. I'm John for your host and master of ceremonies. Got a great topic today in this session. Really? The intersection of space and cybersecurity. This topic and this conversation is the cybersecurity workforce development through public and private partnerships. And we've got a great lineup. We have Jeff Armstrong's the president of California Polytechnic State University, also known as Cal Poly Jeffrey. Thanks for jumping on and Bang. Go ahead. The second director of C four s R Division. And he's joining us from the office of the Under Secretary of Defense for the acquisition Sustainment Department of Defense, D O D. And, of course, Steve Jake's executive director, founder, National Security Space Association and managing partner at Bello's. Gentlemen, thank you for joining me for this session. We got an hour conversation. Thanks for coming on. >>Thank you. >>So we got a virtual event here. We've got an hour, have a great conversation and love for you guys do? In opening statement on how you see the development through public and private partnerships around cybersecurity in space, Jeff will start with you. >>Well, thanks very much, John. It's great to be on with all of you. Uh, on behalf Cal Poly Welcome, everyone. Educating the workforce of tomorrow is our mission to Cal Poly. Whether that means traditional undergraduates, master students are increasingly mid career professionals looking toe up, skill or re skill. Our signature pedagogy is learn by doing, which means that our graduates arrive at employers ready Day one with practical skills and experience. We have long thought of ourselves is lucky to be on California's beautiful central Coast. But in recent years, as we have developed closer relationships with Vandenberg Air Force Base, hopefully the future permanent headquarters of the United States Space Command with Vandenberg and other regional partners, we have discovered that our location is even more advantages than we thought. We're just 50 miles away from Vandenberg, a little closer than u C. Santa Barbara, and the base represents the southern border of what we have come to think of as the central coast region. Cal Poly and Vandenberg Air force base have partner to support regional economic development to encourage the development of a commercial spaceport toe advocate for the space Command headquarters coming to Vandenberg and other ventures. These partnerships have been possible because because both parties stand to benefit Vandenberg by securing new streams of revenue, workforce and local supply chain and Cal Poly by helping to grow local jobs for graduates, internship opportunities for students, and research and entrepreneurship opportunities for faculty and staff. Crucially, what's good for Vandenberg Air Force Base and for Cal Poly is also good for the Central Coast and the US, creating new head of household jobs, infrastructure and opportunity. Our goal is that these new jobs bring more diversity and sustainability for the region. This regional economic development has taken on a life of its own, spawning a new nonprofit called Reach, which coordinates development efforts from Vandenberg Air Force Base in the South to camp to Camp Roberts in the North. Another factor that is facilitated our relationship with Vandenberg Air Force Base is that we have some of the same friends. For example, Northrop Grumman has has long been an important defense contractor, an important partner to Cal poly funding scholarships and facilities that have allowed us to stay current with technology in it to attract highly qualified students for whom Cal Poly's costs would otherwise be prohibitive. For almost 20 years north of grimness funded scholarships for Cal Poly students this year, their funding 64 scholarships, some directly in our College of Engineering and most through our Cal Poly Scholars program, Cal Poly Scholars, a support both incoming freshman is transfer students. These air especially important because it allows us to provide additional support and opportunities to a group of students who are mostly first generation, low income and underrepresented and who otherwise might not choose to attend Cal Poly. They also allow us to recruit from partner high schools with large populations of underrepresented minority students, including the Fortune High School in Elk Grove, which we developed a deep and lasting connection. We know that the best work is done by balanced teams that include multiple and diverse perspectives. These scholarships help us achieve that goal, and I'm sure you know Northrop Grumman was recently awarded a very large contract to modernized the U. S. I. C B M Armory with some of the work being done at Vandenberg Air Force Base, thus supporting the local economy and protecting protecting our efforts in space requires partnerships in the digital realm. How Polly is partnered with many private companies, such as AWS. Our partnerships with Amazon Web services has enabled us to train our students with next generation cloud engineering skills, in part through our jointly created digital transformation hub. Another partnership example is among Cal Poly's California Cybersecurity Institute, College of Engineering and the California National Guard. This partnership is focused on preparing a cyber ready workforce by providing faculty and students with a hands on research and learning environment, side by side with military, law enforcement professionals and cyber experts. We also have a long standing partnership with PG and E, most recently focused on workforce development and redevelopment. Many of our graduates do indeed go on to careers in aerospace and defense industry as a rough approximation. More than 4500 Cal Poly graduates list aerospace and defense as their employment sector on linked in, and it's not just our engineers and computer sciences. When I was speaking to our fellow Panelists not too long ago, >>are >>speaking to bang, we learned that Rachel sins, one of our liberal arts arts majors, is working in his office. So shout out to you, Rachel. And then finally, of course, some of our graduates sword extraordinary heights such as Commander Victor Glover, who will be heading to the International space station later this year as I close. All of which is to say that we're deeply committed the workforce, development and redevelopment that we understand the value of public private partnerships and that were eager to find new ways in which to benefit everyone from this further cooperation. So we're committed to the region, the state in the nation and our past efforts in space, cybersecurity and links to our partners at as I indicated, aerospace industry and governmental partners provides a unique position for us to move forward in the interface of space and cybersecurity. Thank you so much, John. >>President, I'm sure thank you very much for the comments and congratulations to Cal Poly for being on the forefront of innovation and really taking a unique progressive. You and wanna tip your hat to you guys over there. Thank you very much for those comments. Appreciate it. Bahng. Department of Defense. Exciting you gotta defend the nation spaces Global. Your opening statement. >>Yes, sir. Thanks, John. Appreciate that day. Thank you, everybody. I'm honored to be this panel along with President Armstrong, Cal Poly in my long longtime friend and colleague Steve Jakes of the National Security Space Association, to discuss a very important topic of cybersecurity workforce development, as President Armstrong alluded to, I'll tell you both of these organizations, Cal Poly and the N S. A have done and continue to do an exceptional job at finding talent, recruiting them in training current and future leaders and technical professionals that we vitally need for our nation's growing space programs. A swell Asare collective National security Earlier today, during Session three high, along with my colleague Chris Hansen discussed space, cyber Security and how the space domain is changing the landscape of future conflicts. I discussed the rapid emergence of commercial space with the proliferations of hundreds, if not thousands, of satellites providing a variety of services, including communications allowing for global Internet connectivity. S one example within the O. D. We continue to look at how we can leverage this opportunity. I'll tell you one of the enabling technologies eyes the use of small satellites, which are inherently cheaper and perhaps more flexible than the traditional bigger systems that we have historically used unemployed for the U. D. Certainly not lost on Me is the fact that Cal Poly Pioneer Cube SATs 2020 some years ago, and they set the standard for the use of these systems today. So they saw the valiant benefit gained way ahead of everybody else, it seems, and Cal Poly's focus on training and education is commendable. I especially impressed by the efforts of another of Steve's I colleague, current CEO Mr Bill Britain, with his high energy push to attract the next generation of innovators. Uh, earlier this year, I had planned on participating in this year's Cyber Innovation Challenge. In June works Cal Poly host California Mill and high school students and challenge them with situations to test their cyber knowledge. I tell you, I wish I had that kind of opportunity when I was a kid. Unfortunately, the pandemic change the plan. Why I truly look forward. Thio feature events such as these Thio participating. Now I want to recognize my good friend Steve Jakes, whom I've known for perhaps too long of a time here over two decades or so, who was in acknowledge space expert and personally, I truly applaud him for having the foresight of years back to form the National Security Space Association to help the entire space enterprise navigate through not only technology but Polly policy issues and challenges and paved the way for operational izing space. Space is our newest horrifying domain. That's not a secret anymore. Uh, and while it is a unique area, it shares a lot of common traits with the other domains such as land, air and sea, obviously all of strategically important to the defense of the United States. In conflict they will need to be. They will all be contested and therefore they all need to be defended. One domain alone will not win future conflicts in a joint operation. We must succeed. All to defending space is critical as critical is defending our other operational domains. Funny space is no longer the sanctuary available only to the government. Increasingly, as I discussed in the previous session, commercial space is taking the lead a lot of different areas, including R and D, A so called new space, so cyber security threat is even more demanding and even more challenging. Three US considers and federal access to and freedom to operate in space vital to advancing security, economic prosperity, prosperity and scientific knowledge of the country. That's making cyberspace an inseparable component. America's financial, social government and political life. We stood up US Space force ah, year ago or so as the newest military service is like the other services. Its mission is to organize, train and equip space forces in order to protect us and allied interest in space and to provide space capabilities to the joint force. Imagine combining that US space force with the U. S. Cyber Command to unify the direction of space and cyberspace operation strengthened U D capabilities and integrate and bolster d o d cyber experience. Now, of course, to enable all of this requires had trained and professional cadre of cyber security experts, combining a good mix of policy as well as high technical skill set much like we're seeing in stem, we need to attract more people to this growing field. Now the D. O. D. Is recognized the importance of the cybersecurity workforce, and we have implemented policies to encourage his growth Back in 2013 the deputy secretary of defense signed the D. O d cyberspace workforce strategy to create a comprehensive, well equipped cyber security team to respond to national security concerns. Now this strategy also created a program that encourages collaboration between the D. O. D and private sector employees. We call this the Cyber Information Technology Exchange program or site up. It's an exchange programs, which is very interesting, in which a private sector employees can naturally work for the D. O. D. In a cyber security position that spans across multiple mission critical areas are important to the d. O. D. A key responsibility of cybersecurity community is military leaders on the related threats and cyber security actions we need to have to defeat these threats. We talk about rapid that position, agile business processes and practices to speed up innovation. Likewise, cybersecurity must keep up with this challenge to cyber security. Needs to be right there with the challenges and changes, and this requires exceptional personnel. We need to attract talent investing the people now to grow a robust cybersecurity, workforce, streets, future. I look forward to the panel discussion, John. Thank you. >>Thank you so much bomb for those comments and you know, new challenges and new opportunities and new possibilities and free freedom Operating space. Critical. Thank you for those comments. Looking forward. Toa chatting further. Steve Jakes, executive director of N. S. S. A Europe opening statement. >>Thank you, John. And echoing bangs thanks to Cal Poly for pulling these this important event together and frankly, for allowing the National Security Space Association be a part of it. Likewise, we on behalf the association delighted and honored Thio be on this panel with President Armstrong along with my friend and colleague Bonneau Glue Mahad Something for you all to know about Bomb. He spent the 1st 20 years of his career in the Air Force doing space programs. He then went into industry for several years and then came back into government to serve. Very few people do that. So bang on behalf of the space community, we thank you for your long life long devotion to service to our nation. We really appreciate that and I also echo a bang shot out to that guy Bill Britain, who has been a long time co conspirator of ours for a long time and you're doing great work there in the cyber program at Cal Poly Bill, keep it up. But professor arms trying to keep a close eye on him. Uh, I would like to offer a little extra context to the great comments made by by President Armstrong and bahng. Uh, in our view, the timing of this conference really could not be any better. Um, we all recently reflected again on that tragic 9 11 surprise attack on our homeland. And it's an appropriate time, we think, to take pause while the percentage of you in the audience here weren't even born or babies then For the most of us, it still feels like yesterday. And moreover, a tragedy like 9 11 has taught us a lot to include to be more vigilant, always keep our collective eyes and ears open to include those quote eyes and ears from space, making sure nothing like this ever happens again. So this conference is a key aspect. Protecting our nation requires we work in a cybersecurity environment at all times. But, you know, the fascinating thing about space systems is we can't see him. No, sir, We see Space launches man there's nothing more invigorating than that. But after launch, they become invisible. So what are they really doing up there? What are they doing to enable our quality of life in the United States and in the world? Well, to illustrate, I'd like to paraphrase elements of an article in Forbes magazine by Bonds and my good friend Chuck Beans. Chuck. It's a space guy, actually had Bonds job a fuse in the Pentagon. He is now chairman and chief strategy officer at York Space Systems, and in his spare time he's chairman of the small satellites. Chuck speaks in words that everyone can understand. So I'd like to give you some of his words out of his article. Uh, they're afraid somewhat. So these are Chuck's words. Let's talk about average Joe and playing Jane. Before heading to the airport for a business trip to New York City, Joe checks the weather forecast informed by Noah's weather satellites to see what pack for the trip. He then calls an uber that space app. Everybody uses it matches riders with drivers via GPS to take into the airport, So Joe has lunch of the airport. Unbeknownst to him, his organic lunch is made with the help of precision farming made possible through optimized irrigation and fertilization, with remote spectral sensing coming from space and GPS on the plane, the pilot navigates around weather, aided by GPS and nose weather satellites. And Joe makes his meeting on time to join his New York colleagues in a video call with a key customer in Singapore made possible by telecommunication satellites. Around to his next meeting, Joe receives notice changing the location of the meeting to another to the other side of town. So he calmly tells Syria to adjust the destination, and his satellite guided Google maps redirects him to the new location. That evening, Joe watches the news broadcast via satellite. The report details a meeting among world leaders discussing the developing crisis in Syria. As it turns out, various forms of quote remotely sensed. Information collected from satellites indicate that yet another band, chemical weapon, may have been used on its own people. Before going to bed, Joe decides to call his parents and congratulate them for their wedding anniversary as they cruise across the Atlantic, made possible again by communications satellites and Joe's parents can enjoy the call without even wondering how it happened the next morning. Back home, Joe's wife, Jane, is involved in a car accident. Her vehicle skids off the road. She's knocked unconscious, but because of her satellite equipped on star system, the crash is detected immediately and first responders show up on the scene. In time, Joe receives the news books. An early trip home sends flowers to his wife as he orders another uber to the airport. Over that 24 hours, Joe and Jane used space system applications for nearly every part of their day. Imagine the consequences if at any point they were somehow denied these services, whether they be by natural causes or a foreign hostility. And each of these satellite applications used in this case were initially developed for military purposes and continue to be, but also have remarkable application on our way of life. Just many people just don't know that. So, ladies and gentlemen, now you know, thanks to chuck beans, well, the United States has a proud heritage being the world's leading space faring nation, dating back to the Eisenhower and Kennedy years. Today we have mature and robust systems operating from space, providing overhead reconnaissance to quote, wash and listen, provide missile warning, communications, positioning, navigation and timing from our GPS system. Much of what you heard in Lieutenant General J. T. Thompson earlier speech. These systems are not only integral to our national security, but also our also to our quality of life is Chuck told us. We simply no longer could live without these systems as a nation and for that matter, as a world. But over the years, adversary like adversaries like China, Russia and other countries have come to realize the value of space systems and are aggressively playing ketchup while also pursuing capabilities that will challenge our systems. As many of you know, in 2000 and seven, China demonstrated it's a set system by actually shooting down is one of its own satellites and has been aggressively developing counter space systems to disrupt hours. So in a heavily congested space environment, our systems are now being contested like never before and will continue to bay well as Bond mentioned, the United States has responded to these changing threats. In addition to adding ways to protect our system, the administration and in Congress recently created the United States Space Force and the operational you United States Space Command, the latter of which you heard President Armstrong and other Californians hope is going to be located. Vandenberg Air Force Base Combined with our intelligence community today, we have focused military and civilian leadership now in space. And that's a very, very good thing. Commence, really. On the industry side, we did create the National Security Space Association devoted solely to supporting the national security Space Enterprise. We're based here in the D C area, but we have arms and legs across the country, and we are loaded with extraordinary talent. In scores of Forman, former government executives, So S s a is joined at the hip with our government customers to serve and to support. We're busy with a multitude of activities underway ranging from a number of thought provoking policy. Papers are recurring space time Webcast supporting Congress's Space Power Caucus and other main serious efforts. Check us out at NSS. A space dot org's One of our strategic priorities in central to today's events is to actively promote and nurture the workforce development. Just like cow calling. We will work with our U. S. Government customers, industry leaders and academia to attract and recruit students to join the space world, whether in government or industry and two assistant mentoring and training as their careers. Progress on that point, we're delighted. Be delighted to be working with Cal Poly as we hopefully will undertake a new pilot program with him very soon. So students stay tuned something I can tell you Space is really cool. While our nation's satellite systems are technical and complex, our nation's government and industry work force is highly diverse, with a combination of engineers, physicists, method and mathematicians, but also with a large non technical expertise as well. Think about how government gets things thes systems designed, manufactured, launching into orbit and operating. They do this via contracts with our aerospace industry, requiring talents across the board from cost estimating cost analysis, budgeting, procurement, legal and many other support. Tasker Integral to the mission. Many thousands of people work in the space workforce tens of billions of dollars every year. This is really cool stuff, no matter what your education background, a great career to be part of. When summary as bang had mentioned Aziz, well, there is a great deal of exciting challenges ahead we will see a new renaissance in space in the years ahead, and in some cases it's already begun. Billionaires like Jeff Bezos, Elon Musk, Sir Richard Richard Branson are in the game, stimulating new ideas in business models, other private investors and start up companies. Space companies are now coming in from all angles. The exponential advancement of technology and microelectronics now allows the potential for a plethora of small SAT systems to possibly replace older satellites the size of a Greyhound bus. It's getting better by the day and central to this conference, cybersecurity is paramount to our nation's critical infrastructure in space. So once again, thanks very much, and I look forward to the further conversation. >>Steve, thank you very much. Space is cool. It's relevant. But it's important, as you pointed out, and you're awesome story about how it impacts our life every day. So I really appreciate that great story. I'm glad you took the time Thio share that you forgot the part about the drone coming over in the crime scene and, you know, mapping it out for you. But that would add that to the story later. Great stuff. My first question is let's get into the conversations because I think this is super important. President Armstrong like you to talk about some of the points that was teased out by Bang and Steve. One in particular is the comment around how military research was important in developing all these capabilities, which is impacting all of our lives. Through that story. It was the military research that has enabled a generation and generation of value for consumers. This is kind of this workforce conversation. There are opportunities now with with research and grants, and this is, ah, funding of innovation that it's highly accelerate. It's happening very quickly. Can you comment on how research and the partnerships to get that funding into the universities is critical? >>Yeah, I really appreciate that And appreciate the comments of my colleagues on it really boils down to me to partnerships, public private partnerships. You mentioned Northrop Grumman, but we have partnerships with Lockie Martin, Boeing, Raytheon Space six JPL, also member of organization called Business Higher Education Forum, which brings together university presidents and CEOs of companies. There's been focused on cybersecurity and data science, and I hope that we can spill into cybersecurity in space but those partnerships in the past have really brought a lot forward at Cal Poly Aziz mentioned we've been involved with Cube set. Uh, we've have some secure work and we want to plan to do more of that in the future. Uh, those partnerships are essential not only for getting the r and d done, but also the students, the faculty, whether masters or undergraduate, can be involved with that work. Uh, they get that real life experience, whether it's on campus or virtually now during Covic or at the location with the partner, whether it may be governmental or our industry. Uh, and then they're even better equipped, uh, to hit the ground running. And of course, we'd love to see even more of our students graduate with clearance so that they could do some of that a secure work as well. So these partnerships are absolutely critical, and it's also in the context of trying to bring the best and the brightest and all demographics of California and the US into this field, uh, to really be successful. So these partnerships are essential, and our goal is to grow them just like I know other colleagues and C. S u and the U C are planning to dio, >>you know, just as my age I've seen I grew up in the eighties, in college and during that systems generation and that the generation before me, they really kind of pioneered the space that spawned the computer revolution. I mean, you look at these key inflection points in our lives. They were really funded through these kinds of real deep research. Bond talk about that because, you know, we're living in an age of cloud. And Bezos was mentioned. Elon Musk. Sir Richard Branson. You got new ideas coming in from the outside. You have an accelerated clock now on terms of the innovation cycles, and so you got to react differently. You guys have programs to go outside >>of >>the Defense Department. How important is this? Because the workforce that air in schools and our folks re skilling are out there and you've been on both sides of the table. So share your thoughts. >>No, thanks, John. Thanks for the opportunity responded. And that's what you hit on the notes back in the eighties, R and D in space especially, was dominated by my government funding. Uh, contracts and so on. But things have changed. As Steve pointed out, A lot of these commercial entities funded by billionaires are coming out of the woodwork funding R and D. So they're taking the lead. So what we can do within the deal, the in government is truly take advantage of the work they've done on. Uh, since they're they're, you know, paving the way to new new approaches and new way of doing things. And I think we can We could certainly learn from that. And leverage off of that saves us money from an R and D standpoint while benefiting from from the product that they deliver, you know, within the O D Talking about workforce development Way have prioritized we have policies now to attract and retain talent. We need I I had the folks do some research and and looks like from a cybersecurity workforce standpoint. A recent study done, I think, last year in 2019 found that the cybersecurity workforce gap in the U. S. Is nearing half a million people, even though it is a growing industry. So the pipeline needs to be strengthened off getting people through, you know, starting young and through college, like assess a professor Armstrong indicated, because we're gonna need them to be in place. Uh, you know, in a period of about maybe a decade or so, Uh, on top of that, of course, is the continuing issue we have with the gap with with stamps students, we can't afford not to have expertise in place to support all the things we're doing within the with the not only deal with the but the commercial side as well. Thank you. >>How's the gap? Get? Get filled. I mean, this is the this is again. You got cybersecurity. I mean, with space. It's a whole another kind of surface area, if you will, in early surface area. But it is. It is an I o t. Device if you think about it. But it does have the same challenges. That's kind of current and and progressive with cybersecurity. Where's the gap Get filled, Steve Or President Armstrong? I mean, how do you solve the problem and address this gap in the workforce? What is some solutions and what approaches do we need to put in place? >>Steve, go ahead. I'll follow up. >>Okay. Thanks. I'll let you correct. May, uh, it's a really good question, and it's the way I would. The way I would approach it is to focus on it holistically and to acknowledge it up front. And it comes with our teaching, etcetera across the board and from from an industry perspective, I mean, we see it. We've gotta have secure systems with everything we do and promoting this and getting students at early ages and mentoring them and throwing internships at them. Eyes is so paramount to the whole the whole cycle, and and that's kind of and it really takes focused attention. And we continue to use the word focus from an NSS, a perspective. We know the challenges that are out there. There are such talented people in the workforce on the government side, but not nearly enough of them. And likewise on industry side. We could use Maura's well, but when you get down to it, you know we can connect dots. You know that the the aspect That's a Professor Armstrong talked about earlier toe where you continue to work partnerships as much as you possibly can. We hope to be a part of that. That network at that ecosystem the will of taking common objectives and working together to kind of make these things happen and to bring the power not just of one or two companies, but our our entire membership to help out >>President >>Trump. Yeah, I would. I would also add it again. It's back to partnerships that I talked about earlier. One of our partners is high schools and schools fortune Margaret Fortune, who worked in a couple of, uh, administrations in California across party lines and education. Their fifth graders all visit Cal Poly and visit our learned by doing lab and you, you've got to get students interested in stem at a early age. We also need the partnerships, the scholarships, the financial aid so the students can graduate with minimal to no debt to really hit the ground running. And that's exacerbated and really stress. Now, with this covert induced recession, California supports higher education at a higher rate than most states in the nation. But that is that has dropped this year or reasons. We all understand, uh, due to Kobe, and so our partnerships, our creativity on making sure that we help those that need the most help financially uh, that's really key, because the gaps air huge eyes. My colleagues indicated, you know, half of half a million jobs and you need to look at the the students that are in the pipeline. We've got to enhance that. Uh, it's the in the placement rates are amazing. Once the students get to a place like Cal Poly or some of our other amazing CSU and UC campuses, uh, placement rates are like 94%. >>Many of our >>engineers, they have jobs lined up a year before they graduate. So it's just gonna take key partnerships working together. Uh, and that continued partnership with government, local, of course, our state of CSU on partners like we have here today, both Stephen Bang So partnerships the thing >>e could add, you know, the collaboration with universities one that we, uh, put a lot of emphasis, and it may not be well known fact, but as an example of national security agencies, uh, National Centers of Academic Excellence in Cyber, the Fast works with over 270 colleges and universities across the United States to educate its 45 future cyber first responders as an example, so that Zatz vibrant and healthy and something that we ought Teoh Teik, banjo >>off. Well, I got the brain trust here on this topic. I want to get your thoughts on this one point. I'd like to define what is a public private partnership because the theme that's coming out of the symposium is the script has been flipped. It's a modern error. Things air accelerated get you got security. So you get all these things kind of happen is a modern approach and you're seeing a digital transformation play out all over the world in business. Andi in the public sector. So >>what is what >>is a modern public private partnership? What does it look like today? Because people are learning differently, Covert has pointed out, which was that we're seeing right now. How people the progressions of knowledge and learning truth. It's all changing. How do you guys view the modern version of public private partnership and some some examples and improve points? Can you can you guys share that? We'll start with the Professor Armstrong. >>Yeah. A zai indicated earlier. We've had on guy could give other examples, but Northup Grumman, uh, they helped us with cyber lab. Many years ago. That is maintained, uh, directly the software, the connection outside its its own unit so that students can learn the hack, they can learn to penetrate defenses, and I know that that has already had some considerations of space. But that's a benefit to both parties. So a good public private partnership has benefits to both entities. Uh, in the common factor for universities with a lot of these partnerships is the is the talent, the talent that is, that is needed, what we've been working on for years of the, you know, that undergraduate or master's or PhD programs. But now it's also spilling into Skilling and re Skilling. As you know, Jobs. Uh, you know, folks were in jobs today that didn't exist two years, three years, five years ago. But it also spills into other aspects that can expand even mawr. We're very fortunate. We have land, there's opportunities. We have one tech part project. We're expanding our tech park. I think we'll see opportunities for that, and it'll it'll be adjusted thio, due to the virtual world that we're all learning more and more about it, which we were in before Cove it. But I also think that that person to person is going to be important. Um, I wanna make sure that I'm driving across the bridge. Or or that that satellites being launched by the engineer that's had at least some in person training, uh, to do that and that experience, especially as a first time freshman coming on a campus, getting that experience expanding and as adult. And we're gonna need those public private partnerships in order to continue to fund those at a level that is at the excellence we need for these stem and engineering fields. >>It's interesting People in technology can work together in these partnerships in a new way. Bank Steve Reaction Thio the modern version of what a public, successful private partnership looks like. >>If I could jump in John, I think, you know, historically, Dodi's has have had, ah, high bar thio, uh, to overcome, if you will, in terms of getting rapid pulling in your company. This is the fault, if you will and not rely heavily in are the usual suspects of vendors and like and I think the deal is done a good job over the last couple of years off trying to reduce the burden on working with us. You know, the Air Force. I think they're pioneering this idea around pitch days where companies come in, do a two hour pitch and immediately notified of a wooden award without having to wait a long time. Thio get feedback on on the quality of the product and so on. So I think we're trying to do our best. Thio strengthen that partnership with companies outside the main group of people that we typically use. >>Steve, any reaction? Comment to add? >>Yeah, I would add a couple of these air. Very excellent thoughts. Uh, it zits about taking a little gamble by coming out of your comfort zone. You know, the world that Bond and Bond lives in and I used to live in in the past has been quite structured. It's really about we know what the threat is. We need to go fix it, will design it says we go make it happen, we'll fly it. Um, life is so much more complicated than that. And so it's it's really to me. I mean, you take you take an example of the pitch days of bond talks about I think I think taking a gamble by attempting to just do a lot of pilot programs, uh, work the trust factor between government folks and the industry folks in academia. Because we are all in this together in a lot of ways, for example. I mean, we just sent the paper to the White House of their requests about, you know, what would we do from a workforce development perspective? And we hope Thio embellish on this over time once the the initiative matures. But we have a piece of it, for example, is the thing we call clear for success getting back Thio Uh, President Armstrong's comments at the collegiate level. You know, high, high, high quality folks are in high demand. So why don't we put together a program they grabbed kids in their their underclass years identifies folks that are interested in doing something like this. Get them scholarships. Um, um, I have a job waiting for them that their contract ID for before they graduate, and when they graduate, they walk with S C I clearance. We believe that could be done so, and that's an example of ways in which the public private partnerships can happen to where you now have a talented kid ready to go on Day one. We think those kind of things can happen. It just gets back down to being focused on specific initiatives, give them giving them a chance and run as many pilot programs as you can like these days. >>That's a great point, E. President. >>I just want to jump in and echo both the bank and Steve's comments. But Steve, that you know your point of, you know, our graduates. We consider them ready Day one. Well, they need to be ready Day one and ready to go secure. We totally support that and and love to follow up offline with you on that. That's that's exciting, uh, and needed very much needed mawr of it. Some of it's happening, but way certainly have been thinking a lot about that and making some plans, >>and that's a great example of good Segway. My next question. This kind of reimagining sees work flows, eyes kind of breaking down the old the old way and bringing in kind of a new way accelerated all kind of new things. There are creative ways to address this workforce issue, and this is the next topic. How can we employ new creative solutions? Because, let's face it, you know, it's not the days of get your engineering degree and and go interview for a job and then get slotted in and get the intern. You know the programs you get you particularly through the system. This is this is multiple disciplines. Cybersecurity points at that. You could be smart and math and have, ah, degree in anthropology and even the best cyber talents on the planet. So this is a new new world. What are some creative approaches that >>you know, we're >>in the workforce >>is quite good, John. One of the things I think that za challenge to us is you know, we got somehow we got me working for with the government, sexy, right? The part of the challenge we have is attracting the right right level of skill sets and personnel. But, you know, we're competing oftentimes with the commercial side, the gaming industry as examples of a big deal. And those are the same talents. We need to support a lot of programs we have in the U. D. So somehow we have to do a better job to Steve's point off, making the work within the U. D within the government something that they would be interested early on. So I tracked him early. I kind of talked about Cal Poly's, uh, challenge program that they were gonna have in June inviting high school kid. We're excited about the whole idea of space and cyber security, and so on those air something. So I think we have to do it. Continue to do what were the course the next several years. >>Awesome. Any other creative approaches that you guys see working or might be on idea, or just a kind of stoked the ideation out their internship. So obviously internships are known, but like there's gotta be new ways. >>I think you can take what Steve was talking about earlier getting students in high school, uh, and aligning them sometimes. Uh, that intern first internship, not just between the freshman sophomore year, but before they inter cal poly per se. And they're they're involved s So I think that's, uh, absolutely key. Getting them involved many other ways. Um, we have an example of of up Skilling a redeveloped work redevelopment here in the Central Coast. PG and e Diablo nuclear plant as going to decommission in around 2020 24. And so we have a ongoing partnership toe work on reposition those employees for for the future. So that's, you know, engineering and beyond. Uh, but think about that just in the manner that you were talking about. So the up skilling and re Skilling uh, on I think that's where you know, we were talking about that Purdue University. Other California universities have been dealing with online programs before cove it and now with co vid uh, so many more faculty or were pushed into that area. There's going to be much more going and talk about workforce development and up Skilling and Re Skilling The amount of training and education of our faculty across the country, uh, in in virtual, uh, and delivery has been huge. So there's always a silver linings in the cloud. >>I want to get your guys thoughts on one final question as we in the in the segment. And we've seen on the commercial side with cloud computing on these highly accelerated environments where you know, SAS business model subscription. That's on the business side. But >>one of The >>things that's clear in this trend is technology, and people work together and technology augments the people components. So I'd love to get your thoughts as we look at the world now we're living in co vid um, Cal Poly. You guys have remote learning Right now. It's a infancy. It's a whole new disruption, if you will, but also an opportunity to enable new ways to collaborate, Right? So if you look at people and technology, can you guys share your view and vision on how communities can be developed? How these digital technologies and people can work together faster to get to the truth or make a discovery higher to build the workforce? These air opportunities? How do you guys view this new digital transformation? >>Well, I think there's there's a huge opportunities and just what we're doing with this symposium. We're filming this on one day, and it's going to stream live, and then the three of us, the four of us, can participate and chat with participants while it's going on. That's amazing. And I appreciate you, John, you bringing that to this this symposium, I think there's more and more that we can do from a Cal poly perspective with our pedagogy. So you know, linked to learn by doing in person will always be important to us. But we see virtual. We see partnerships like this can expand and enhance our ability and minimize the in person time, decrease the time to degree enhanced graduation rate, eliminate opportunity gaps or students that don't have the same advantages. S so I think the technological aspect of this is tremendous. Then on the up Skilling and Re Skilling, where employees air all over, they can be reached virtually then maybe they come to a location or really advanced technology allows them to get hands on virtually, or they come to that location and get it in a hybrid format. Eso I'm I'm very excited about the future and what we can do, and it's gonna be different with every university with every partnership. It's one. Size does not fit all. >>It's so many possibilities. Bond. I could almost imagine a social network that has a verified, you know, secure clearance. I can jump in, have a little cloak of secrecy and collaborate with the d o. D. Possibly in the future. But >>these are the >>kind of kind of crazy ideas that are needed. Are your thoughts on this whole digital transformation cross policy? >>I think technology is gonna be revolutionary here, John. You know, we're focusing lately on what we call digital engineering to quicken the pace off, delivering capability to warfighter. As an example, I think a I machine language all that's gonna have a major play and how we operate in the future. We're embracing five G technologies writing ability Thio zero latency or I o t More automation off the supply chain. That sort of thing, I think, uh, the future ahead of us is is very encouraging. Thing is gonna do a lot for for national defense on certainly the security of the country. >>Steve, your final thoughts. Space systems are systems, and they're connected to other systems that are connected to people. Your thoughts on this digital transformation opportunity >>Such a great question in such a fun, great challenge ahead of us. Um echoing are my colleague's sentiments. I would add to it. You know, a lot of this has I think we should do some focusing on campaigning so that people can feel comfortable to include the Congress to do things a little bit differently. Um, you know, we're not attuned to doing things fast. Uh, but the dramatic You know, the way technology is just going like crazy right now. I think it ties back Thio hoping Thio, convince some of our senior leaders on what I call both sides of the Potomac River that it's worth taking these gamble. We do need to take some of these things very way. And I'm very confident, confident and excited and comfortable. They're just gonna be a great time ahead and all for the better. >>You know, e talk about D. C. Because I'm not a lawyer, and I'm not a political person, but I always say less lawyers, more techies in Congress and Senate. So I was getting job when I say that. Sorry. Presidential. Go ahead. >>Yeah, I know. Just one other point. Uh, and and Steve's alluded to this in bonded as well. I mean, we've got to be less risk averse in these partnerships. That doesn't mean reckless, but we have to be less risk averse. And I would also I have a zoo. You talk about technology. I have to reflect on something that happened in, uh, you both talked a bit about Bill Britton and his impact on Cal Poly and what we're doing. But we were faced a few years ago of replacing a traditional data a data warehouse, data storage data center, and we partner with a W S. And thank goodness we had that in progress on it enhanced our bandwidth on our campus before Cove. It hit on with this partnership with the digital transformation hub. So there is a great example where, uh, we we had that going. That's not something we could have started. Oh, covitz hit. Let's flip that switch. And so we have to be proactive on. We also have thio not be risk averse and do some things differently. Eyes that that is really salvage the experience for for students. Right now, as things are flowing, well, we only have about 12% of our courses in person. Uh, those essential courses, uh, and just grateful for those partnerships that have talked about today. >>Yeah, and it's a shining example of how being agile, continuous operations, these air themes that expand into space and the next workforce needs to be built. Gentlemen, thank you. very much for sharing your insights. I know. Bang, You're gonna go into the defense side of space and your other sessions. Thank you, gentlemen, for your time for great session. Appreciate it. >>Thank you. Thank you. >>Thank you. >>Thank you. Thank you. Thank you all. >>I'm John Furry with the Cube here in Palo Alto, California Covering and hosting with Cal Poly The Space and Cybersecurity Symposium 2020. Thanks for watching.

>> Announcer: From around the globe, it's The Cube, covering Space and Cybersecurity Symposium 2020, hosted by Cal Poly. >> Everyone, welcome to this special virtual conference, the Space and Cybersecurity Symposium 2020 put on by Cal Poly with support from The Cube. I'm John Furey, your host and master of ceremony's got a great topic today, and this session is really the intersection of space and cybersecurity. This topic, and this conversation is a cybersecurity workforce development through public and private partnerships. And we've got a great lineup, we've Jeff Armstrong is the president of California Polytechnic State University, also known as Cal Poly. Jeffrey, thanks for jumping on and Bong Gumahad. The second, Director of C4ISR Division, and he's joining us from the Office of the Under Secretary of Defense for the acquisition and sustainment of Department of Defense, DOD, and of course Steve Jacques is Executive Director, founder National Security Space Association, and managing partner at Velos. Gentlemen, thank you for joining me for this session, we've got an hour of conversation, thanks for coming on. >> Thank you. >> So we've got a virtual event here, we've got an hour to have a great conversation, I'd love for you guys to do an opening statement on how you see the development through public and private partnerships around cybersecurity and space, Jeff, we'll start with you. >> Well, thanks very much, John, it's great to be on with all of you. On behalf of Cal Poly, welcome everyone. Educating the workforce of tomorrow is our mission at Cal Poly, whether that means traditional undergraduates, masters students, or increasingly, mid-career professionals looking to upskill or re-skill. Our signature pedagogy is learn by doing, which means that our graduates arrive at employers, ready day one with practical skills and experience. We have long thought of ourselves as lucky to be on California's beautiful central coast, but in recent years, as we've developed closer relationships with Vandenberg Air Force Base, hopefully the future permanent headquarters of the United States Space Command with Vandenberg and other regional partners, We have discovered that our location is even more advantageous than we thought. We're just 50 miles away from Vandenberg, a little closer than UC Santa Barbara and the base represents the Southern border of what we have come to think of as the central coast region. Cal Poly and Vandenberg Air Force Base have partnered to support regional economic development, to encourage the development of a commercial space port, to advocate for the space command headquarters coming to Vandenberg and other ventures. These partnerships have been possible because both parties stand to benefit. Vandenberg, by securing new streams of revenue, workforce, and local supply chain and Cal Poly by helping to grow local jobs for graduates, internship opportunities for students and research and entrepreneurship opportunities for faculty and staff. Crucially, what's good for Vandenberg Air Force Base and for Cal Poly is also good for the central coast and the U.S., creating new head of household jobs, infrastructure, and opportunity. Our goal is that these new jobs bring more diversity and sustainability for the region. This regional economic development has taken on a life of its own, spawning a new nonprofit called REACH which coordinates development efforts from Vandenberg Air Force Base in the South to Camp Roberts in the North. Another factor that has facilitated our relationship with Vandenberg Air Force Base is that we have some of the same friends. For example, Northrop Grumman has as long been an important defense contractor and an important partner to Cal Poly, funding scholarships in facilities that have allowed us to stay current with technology in it to attract highly qualified students for whom Cal Poly's costs would otherwise be prohibitive. For almost 20 years, Northrop Grumman has funded scholarships for Cal Poly students. This year, they're funding 64 scholarships, some directly in our College of Engineering and most through our Cal Poly Scholars Program. Cal Poly scholars support both incoming freshmen and transfer students. These are especially important, 'cause it allows us to provide additional support and opportunities to a group of students who are mostly first generation, low income and underrepresented, and who otherwise might not choose to attend Cal Poly. They also allow us to recruit from partner high schools with large populations of underrepresented minority students, including the Fortune High School in Elk Grove, which we developed a deep and lasting connection. We know that the best work is done by balanced teams that include multiple and diverse perspectives. These scholarships help us achieve that goal and I'm sure you know Northrop Grumman was recently awarded a very large contract to modernize the U.S. ICBM armory with some of the work being done at Vandenberg Air Force Base, thus supporting the local economy and protecting... Protecting our efforts in space requires partnerships in the digital realm. Cal Poly has partnered with many private companies such as AWS. Our partnerships with Amazon Web Services has enabled us to train our students with next generation cloud engineering skills, in part, through our jointly created digital transformation hub. Another partnership example is among Cal Poly's California Cyber Security Institute College of Engineering and the California National Guard. This partnership is focused on preparing a cyber-ready workforce, by providing faculty and students with a hands on research and learning environment side by side with military law enforcement professionals and cyber experts. We also have a long standing partnership with PG&E most recently focused on workforce development and redevelopment. Many of our graduates do indeed go on to careers in aerospace and defense industry. As a rough approximation, more than 4,500 Cal Poly graduates list aerospace or defense as their employment sector on LinkedIn. And it's not just our engineers in computer sciences. When I was speaking to our fellow panelists not too long ago, speaking to Bong, we learned that Rachel Sims, one of our liberal arts majors is working in his office, so shout out to you, Rachel. And then finally, of course, some of our graduates soar to extraordinary heights, such as Commander Victor Glover, who will be heading to the International Space Station later this year. As I close, all of which is to say that we're deeply committed to workforce development and redevelopment, that we understand the value of public-private partnerships, and that we're eager to find new ways in which to benefit everyone from this further cooperation. So we're committed to the region, the state and the nation, in our past efforts in space, cyber security and links to our partners at, as I indicated, aerospace industry and governmental partners provides a unique position for us to move forward in the interface of space and cyber security. Thank you so much, John. >> President Armstrong, thank you very much for the comments and congratulations to Cal Poly for being on the forefront of innovation and really taking a unique, progressive view and want to tip a hat to you guys over there, thank you very much for those comments, appreciate it. Bong, Department of Defense. Exciting, you've got to defend the nation, space is global, your opening statement. >> Yes, sir, thanks John, appreciate that. Thank you everybody, I'm honored to be in this panel along with Preston Armstrong of Cal Poly and my longtime friend and colleague Steve Jacques of the National Security Space Association to discuss a very important topic of a cybersecurity workforce development as President Armstrong alluded to. I'll tell you, both of these organizations, Cal Poly and the NSSA have done and continue to do an exceptional job at finding talent, recruiting them and training current and future leaders and technical professionals that we vitally need for our nation's growing space programs, as well as our collective national security. Earlier today, during session three, I, along with my colleague, Chris Samson discussed space cyber security and how the space domain is changing the landscape of future conflicts. I discussed the rapid emergence of commercial space with the proliferation of hundreds, if not thousands of satellites, providing a variety of services including communications, allowing for global internet connectivity, as one example. Within DOD, we continued to look at how we can leverage this opportunity. I'll tell you, one of the enabling technologies, is the use of small satellites, which are inherently cheaper and perhaps more flexible than the traditional bigger systems that we have historically used and employed for DOD. Certainly not lost on me is the fact that Cal Poly pioneered CubeSats 28, 27 years ago, and they set a standard for the use of these systems today. So they saw the value and benefit gained way ahead of everybody else it seems. And Cal Poly's focus on training and education is commendable. I'm especially impressed by the efforts of another of Steven's colleague, the current CIO, Mr. Bill Britton, with his high energy push to attract the next generation of innovators. Earlier this year, I had planned on participating in this year's cyber innovation challenge in June, Oops, Cal Poly hosts California middle, and high school students, and challenge them with situations to test their cyber knowledge. I tell you, I wish I had that kind of opportunity when I was a kid, unfortunately, the pandemic changed the plan, but I truly look forward to future events such as these, to participate in. Now, I want to recognize my good friend, Steve Jacques, whom I've known for perhaps too long of a time here, over two decades or so, who was an acknowledged space expert and personally I've truly applaud him for having the foresight a few years back to form the National Security Space Association to help the entire space enterprise navigate through not only technology, but policy issues and challenges and paved the way for operationalizing space. Space, it certainly was fortifying domain, it's not a secret anymore, and while it is a unique area, it shares a lot of common traits with the other domains, such as land, air, and sea, obviously all are strategically important to the defense of the United States. In conflict, they will all be contested and therefore they all need to be defended. One domain alone will not win future conflicts, and in a joint operation, we must succeed in all. So defending space is critical, as critical as to defending our other operational domains. Funny, space is the only sanctuary available only to the government. Increasingly as I discussed in a previous session, commercial space is taking the lead in a lot of different areas, including R&D, the so-called new space. So cybersecurity threat is even more demanding and even more challenging. The U.S. considers and futhered access to and freedom to operate in space, vital to advancing security, economic prosperity and scientific knowledge of the country, thus making cyberspace an inseparable component of America's financial, social government and political life. We stood up US Space Force a year ago or so as the newest military service. Like the other services, its mission is to organize, train and equip space forces in order to protect U.S. and allied interest in space and to provide spacecape builders who joined force. Imagine combining that U.S. Space Force with the U.S. Cyber Command to unify the direction of the space and cyberspace operation, strengthen DOD capabilities and integrate and bolster a DOD cyber experience. Now, of course, to enable all of this requires a trained and professional cadre of cyber security experts, combining a good mix of policy, as well as a high technical skill set. Much like we're seeing in STEM, we need to attract more people to this growing field. Now, the DOD has recognized the importance to the cybersecurity workforce, and we have implemented policies to encourage its growth. Back in 2013, the Deputy Secretary of Defense signed a DOD Cyberspace Workforce Strategy, to create a comprehensive, well-equipped cyber security team to respond to national security concerns. Now, this strategy also created a program that encourages collaboration between the DOD and private sector employees. We call this the Cyber Information Technology Exchange program, or CITE that it's an exchange program, which is very interesting in which a private sector employee can naturally work for the DOD in a cyber security position that spans across multiple mission critical areas, important to the DOD. A key responsibility of the cyber security community is military leaders, unrelated threats, and the cyber security actions we need to have to defeat these threats. We talked about rapid acquisition, agile business processes and practices to speed up innovation, likewise, cyber security must keep up with this challenge. So cyber security needs to be right there with the challenges and changes, and this requires exceptional personnel. We need to attract talent, invest in the people now to grow a robust cybersecurity workforce for the future. I look forward to the panel discussion, John, thank you. >> Thank you so much, Bob for those comments and, you know, new challenges or new opportunities and new possibilities and freedom to operate in space is critical, thank you for those comments, looking forward to chatting further. Steve Jacques, Executive Director of NSSA, you're up, opening statement. >> Thank you, John and echoing Bongs, thanks to Cal Poly for pulling this important event together and frankly, for allowing the National Security Space Association be a part of it. Likewise, on behalf of the association, I'm delighted and honored to be on this panel of President Armstrong, along with my friend and colleague, Bong Gumahad. Something for you all to know about Bong, he spent the first 20 years of his career in the Air Force doing space programs. He then went into industry for several years and then came back into government to serve, very few people do that. So Bong, on behalf of the space community, we thank you for your lifelong devotion to service to our nation, we really appreciate that. And I also echo a Bong shout out to that guy, Bill Britton. who's been a long time co-conspirator of ours for a long time, and you're doing great work there in the cyber program at Cal Poly, Bill, keep it up. But Professor Armstrong, keep a close eye on him. (laughter) I would like to offer a little extra context to the great comments made by President Armstrong and Bong. And in our view, the timing of this conference really could not be any better. We all recently reflected again on that tragic 9/11 surprise attack on our homeland and it's an appropriate time we think to take pause. While a percentage of you in the audience here weren't even born or were babies then, for the most of us, it still feels like yesterday. And moreover, a tragedy like 9/11 has taught us a lot to include, to be more vigilant, always keep our collective eyes and ears open, to include those "eyes and ears from space," making sure nothing like this ever happens again. So this conference is a key aspect, protecting our nation requires we work in a cyber secure environment at all times. But you know, the fascinating thing about space systems is we can't see 'em. Now sure, we see space launches, man, there's nothing more invigorating than that. But after launch they become invisible, so what are they really doing up there? What are they doing to enable our quality of life in the United States and in the world? Well to illustrate, I'd like to paraphrase elements of an article in Forbes magazine, by Bongs and my good friend, Chuck Beames, Chuck is a space guy, actually had Bongs job a few years in the Pentagon. He's now Chairman and Chief Strategy Officer at York Space Systems and in his spare time, he's Chairman of the Small Satellites. Chuck speaks in words that everyone can understand, so I'd like to give you some of his words out of his article, paraphrase somewhat, so these are Chuck's words. "Let's talk about average Joe and plain Jane. "Before heading to the airport for a business trip "to New York city, Joe checks the weather forecast, "informed by NOAA's weather satellites, "to see what to pack for the trip. "He then calls an Uber, that space app everybody uses, "it matches riders with drivers via GPS, "to take him to the airport. "So Joe has launched in the airport, "unbeknownst to him, his organic lunch is made "with the help of precision farming "made possible to optimize the irrigation and fertilization "with remote spectral sensing coming from space and GPS. "On the plane, the pilot navigates around weather, "aided by GPS and NOAA's weather satellites "and Joe makes his meeting on time "to join his New York colleagues in a video call "with a key customer in Singapore, "made possible by telecommunication satellites. "En route to his next meeting, "Joe receives notice changing the location of the meeting "to the other side of town. "So he calmly tells Siri to adjust the destination "and his satellite-guided Google maps redirect him "to the new location. "That evening, Joe watches the news broadcast via satellite, "report details of meeting among world leaders, "discussing the developing crisis in Syria. "As it turns out various forms of "'remotely sensed information' collected from satellites "indicate that yet another banned chemical weapon "may have been used on its own people. "Before going to bed, Joe decides to call his parents "and congratulate them for their wedding anniversary "as they cruise across the Atlantic, "made possible again by communication satellites "and Joe's parents can enjoy the call "without even wondering how it happened. "The next morning back home, "Joe's wife, Jane is involved in a car accident. "Her vehicle skids off the road, she's knocked unconscious, "but because of her satellite equipped OnStar system, "the crash is detected immediately, "and first responders show up on the scene in time. "Joe receives the news, books an early trip home, "sends flowers to his wife "as he orders another Uber to the airport. "Over that 24 hours, "Joe and Jane used space system applications "for nearly every part of their day. "Imagine the consequences if at any point "they were somehow denied these services, "whether they be by natural causes or a foreign hostility. "In each of these satellite applications used in this case, "were initially developed for military purposes "and continued to be, but also have remarkable application "on our way of life, just many people just don't know that." So ladies and gentlemen, now you know, thanks to Chuck Beames. Well, the United States has a proud heritage of being the world's leading space-faring nation. Dating back to the Eisenhower and Kennedy years, today, we have mature and robust systems operating from space, providing overhead reconnaissance to "watch and listen," provide missile warning, communications, positioning, navigation, and timing from our GPS system, much of which you heard in Lieutenant General JT Thomson's earlier speech. These systems are not only integral to our national security, but also to our quality of life. As Chuck told us, we simply no longer can live without these systems as a nation and for that matter, as a world. But over the years, adversaries like China, Russia and other countries have come to realize the value of space systems and are aggressively playing catch up while also pursuing capabilities that will challenge our systems. As many of you know, in 2007, China demonstrated its ASAT system by actually shooting down one of its own satellites and has been aggressively developing counterspace systems to disrupt ours. So in a heavily congested space environment, our systems are now being contested like never before and will continue to be. Well, as a Bong mentioned, the United States have responded to these changing threats. In addition to adding ways to protect our system, the administration and the Congress recently created the United States Space Force and the operational United States Space Command, the latter of which you heard President Armstrong and other Californians hope is going to be located at Vandenberg Air Force Base. Combined with our intelligence community, today we have focused military and civilian leadership now in space, and that's a very, very good thing. Commensurately on the industry side, we did create the National Security Space Association, devoted solely to supporting the National Security Space Enterprise. We're based here in the DC area, but we have arms and legs across the country and we are loaded with extraordinary talent in scores of former government executives. So NSSA is joined at the hip with our government customers to serve and to support. We're busy with a multitude of activities underway, ranging from a number of thought-provoking policy papers, our recurring spacetime webcasts, supporting Congress's space power caucus, and other main serious efforts. Check us out at nssaspace.org. One of our strategic priorities and central to today's events is to actively promote and nurture the workforce development, just like Cal-Poly. We will work with our U.S. government customers, industry leaders, and academia to attract and recruit students to join the space world, whether in government or industry, and to assist in mentoring and training as their careers progress. On that point, we're delighted to be working with Cal Poly as we hopefully will undertake a new pilot program with them very soon. So students stay tuned, something I can tell you, space is really cool. While our nation's satellite systems are technical and complex, our nation's government and industry workforce is highly diverse, with a combination of engineers, physicists and mathematicians, but also with a large non-technical expertise as well. Think about how government gets these systems designed, manufactured, launching into orbit and operating. They do this via contracts with our aerospace industry, requiring talents across the board, from cost estimating, cost analysis, budgeting, procurement, legal, and many other support tasks that are integral to the mission. Many thousands of people work in the space workforce, tens of billions of dollars every year. This is really cool stuff and no matter what your education background, a great career to be part of. In summary, as Bong had mentioned as well, there's a great deal of exciting challenges ahead. We will see a new renaissance in space in the years ahead and in some cases it's already begun. Billionaires like Jeff Bezos, Elon Musk, Sir Richard Branson, are in the game, stimulating new ideas and business models. Other private investors and startup companies, space companies are now coming in from all angles. The exponential advancement of technology and micro electronics now allows a potential for a plethora of small sat systems to possibly replace older satellites, the size of a Greyhound bus. It's getting better by the day and central to this conference, cybersecurity is paramount to our nation's critical infrastructure in space. So once again, thanks very much and I look forward to the further conversation. >> Steve, thank you very much. Space is cool, it's relevant, but it's important as you pointed out in your awesome story about how it impacts our life every day so I really appreciate that great story I'm glad you took the time to share that. You forgot the part about the drone coming over in the crime scene and, you know, mapping it out for you, but we'll add that to the story later, great stuff. My first question is, let's get into the conversations, because I think this is super important. President Armstrong, I'd like you to talk about some of the points that was teased out by Bong and Steve. One in particular is the comment around how military research was important in developing all these capabilities, which is impacting all of our lives through that story. It was the military research that has enabled a generation and generation of value for consumers. This is kind of this workforce conversation, there are opportunities now with research and grants, and this is a funding of innovation that is highly accelerated, it's happening very quickly. Can you comment on how research and the partnerships to get that funding into the universities is critical? >> Yeah, I really appreciate that and appreciate the comments of my colleagues. And it really boils down to me to partnerships, public-private partnerships, you have mentioned Northrop Grumman, but we have partnerships with Lockheed Martin, Boeing, Raytheon, Space X, JPL, also member of an organization called Business Higher Education Forum, which brings together university presidents and CEOs of companies. There's been focused on cybersecurity and data science and I hope that we can spill into cybersecurity and space. But those partnerships in the past have really brought a lot forward. At Cal Poly, as mentioned, we've been involved with CubeSat, we've have some secure work, and we want to plan to do more of that in the future. Those partnerships are essential, not only for getting the R&D done, but also the students, the faculty, whether they're master's or undergraduate can be involved with that work, they get that real life experience, whether it's on campus or virtually now during COVID or at the location with the partner, whether it may be governmental or industry, and then they're even better equipped to hit the ground running. And of course we'd love to see more of our students graduate with clearance so that they could do some of that secure work as well. So these partnerships are absolutely critical and it's also in the context of trying to bring the best and the brightest in all demographics of California and the U.S. into this field, to really be successful. So these partnerships are essential and our goal is to grow them just like I know our other colleagues in the CSU and the UC are planning to do. >> You know, just as my age I've seen, I grew up in the eighties and in college and they're in that system's generation and the generation before me, they really kind of pioneered the space that spawned the computer revolution. I mean, you look at these key inflection points in our lives, they were really funded through these kinds of real deep research. Bong, talk about that because, you know, we're living in an age of cloud and Bezos was mentioned, Elon Musk, Sir Richard Branson, you got new ideas coming in from the outside, you have an accelerated clock now in terms of the innovation cycles and so you got to react differently, you guys have programs to go outside of the defense department, how important is this because the workforce that are in schools and/or folks re-skilling are out there and you've been on both sides of the table, so share your thoughts. >> No, thanks Johnny, thanks for the opportunity to respond to, and that's what, you know, you hit on the nose back in the 80's, R&D and space especially was dominated by government funding, contracts and so on, but things have changed as Steve pointed out, allow these commercial entities funded by billionaires are coming out of the woodwork, funding R&D so they're taking the lead, so what we can do within the DOD in government is truly take advantage of the work they've done. And since they're, you know, paving the way to new approaches and new way of doing things and I think we can certainly learn from that and leverage off of that, saves us money from an R&D standpoint, while benefiting from the product that they deliver. You know, within DOD, talking about workforce development, you know, we have prioritized and we have policies now to attract and retain the talent we need. I had the folks do some research and it looks like from a cybersecurity or workforce standpoint, a recent study done, I think last year in 2019, found that the cyber security workforce gap in U.S. is nearing half a million people, even though it is a growing industry. So the pipeline needs to be strengthened, getting people through, you know, starting young and through college, like Professor Armstrong indicated because we're going to need them to be in place, you know, in a period of about maybe a decade or so. On top of that, of course, is the continuing issue we have with the gap with STEM students. We can't afford not have expertise in place to support all the things we're doing within DoD, not only DoD but the commercial side as well, thank you. >> How's the gap get filled, I mean, this is, again, you've got cybersecurity, I mean, with space it's a whole other kind of surface area if you will, it's not really surface area, but it is an IOT device if you think about it, but it does have the same challenges, that's kind of current and progressive with cybersecurity. Where's the gap get filled, Steve or President Armstrong, I mean, how do you solve the problem and address this gap in the workforce? What are some solutions and what approaches do we need to put in place? >> Steve, go ahead., I'll follow up. >> Okay, thanks, I'll let you correct me. (laughter) It's a really good question, and the way I would approach it is to focus on it holistically and to acknowledge it upfront and it comes with our teaching, et cetera, across the board. And from an industry perspective, I mean, we see it, we've got to have secure systems in everything we do, and promoting this and getting students at early ages and mentoring them and throwing internships at them is so paramount to the whole cycle. And that's kind of, it really takes a focused attention and we continue to use the word focus from an NSSA perspective. We know the challenges that are out there. There are such talented people in the workforce, on the government side, but not nearly enough of them and likewise on the industry side, we could use more as well, but when you get down to it, you know, we can connect dots, you know, the aspects that Professor Armstrong talked about earlier to where you continue to work partnerships as much as you possibly can. We hope to be a part of that network, that ecosystem if you will, of taking common objectives and working together to kind of make these things happen and to bring the power, not just of one or two companies, but of our entire membership thereabout. >> President Armstrong-- >> Yeah, I would also add it again, it's back to the partnerships that I talked about earlier, one of our partners is high schools and schools Fortune, Margaret Fortune, who worked in a couple of administrations in California across party lines and education, their fifth graders all visit Cal Poly, and visit our learned-by-doing lab. And you've got to get students interested in STEM at an early age. We also need the partnerships, the scholarships, the financial aid, so the students can graduate with minimal to no debt to really hit the ground running and that's exacerbated and really stress now with this COVID induced recession. California supports higher education at a higher rate than most states in the nation, but that has brought this year for reasons all understand due to COVID. And so our partnerships, our creativity, and making sure that we help those that need the most help financially, that's really key because the gaps are huge. As my colleagues indicated, you know, half a million jobs and I need you to look at the students that are in the pipeline, we've got to enhance that. And the placement rates are amazing once the students get to a place like Cal Poly or some of our other amazing CSU and UC campuses, placement rates are like 94%. Many of our engineers, they have jobs lined up a year before they graduate. So it's just going to take a key partnerships working together and that continued partnership with government local, of course, our state, the CSU, and partners like we have here today, both Steve and Bong so partnerships is the thing. >> You know, that's a great point-- >> I could add, >> Okay go ahead. >> All right, you know, the collaboration with universities is one that we put on lot of emphasis here, and it may not be well known fact, but just an example of national security, the AUC is a national centers of academic excellence in cyber defense works with over 270 colleges and universities across the United States to educate and certify future cyber first responders as an example. So that's vibrant and healthy and something that we ought to take advantage of. >> Well, I got the brain trust here on this topic. I want to get your thoughts on this one point, 'cause I'd like to define, you know, what is a public-private partnership because the theme that's coming out of the symposium is the script has been flipped, it's a modern era, things are accelerated, you've got security, so you've got all of these things kind of happenning it's a modern approach and you're seeing a digital transformation play out all over the world in business and in the public sector. So what is a modern public-private partnership and what does it look like today because people are learning differently. COVID has pointed out, which is that we're seeing right now, how people, the progressions of knowledge and learning, truth, it's all changing. How do you guys view the modern version of public-private partnership and some examples and some proof points, can you guys share that? We'll start with you, Professor Armstrong. >> Yeah, as I indicated earlier, we've had, and I could give other examples, but Northrop Grumman, they helped us with a cyber lab many years ago that is maintained directly, the software, the connection outside it's its own unit so the students can learn to hack, they can learn to penetrate defenses and I know that that has already had some considerations of space, but that's a benefit to both parties. So a good public-private partnership has benefits to both entities and the common factor for universities with a lot of these partnerships is the talent. The talent that is needed, what we've been working on for years of, you know, the undergraduate or master's or PhD programs, but now it's also spilling into upskilling and reskilling, as jobs, you know, folks who are in jobs today that didn't exist two years, three years, five years ago, but it also spills into other aspects that can expand even more. We're very fortunate we have land, there's opportunities, we have ONE Tech project. We are expanding our tech park, I think we'll see opportunities for that and it'll be adjusted due to the virtual world that we're all learning more and more about it, which we were in before COVID. But I also think that that person to person is going to be important, I want to make sure that I'm driving across a bridge or that satellite's being launched by the engineer that's had at least some in person training to do that in that experience, especially as a first time freshman coming on campus, getting that experience, expanding it as an adult, and we're going to need those public-private partnerships in order to continue to fund those at a level that is at the excellence we need for these STEM and engineering fields. >> It's interesting people and technology can work together and these partnerships are the new way. Bongs too with reaction to the modern version of what a public successful private partnership looks like. >> If I could jump in John, I think, you know, historically DOD's had a high bar to overcome if you will, in terms of getting rapid... pulling in new companies, miss the fall if you will, and not rely heavily on the usual suspects, of vendors and the like, and I think the DOD has done a good job over the last couple of years of trying to reduce that burden and working with us, you know, the Air Force, I think they're pioneering this idea around pitch days, where companies come in, do a two-hour pitch and immediately notified of, you know, of an a award, without having to wait a long time to get feedback on the quality of the product and so on. So I think we're trying to do our best to strengthen that partnership with companies outside of the main group of people that we typically use. >> Steve, any reaction, any comment to add? >> Yeah, I would add a couple and these are very excellent thoughts. It's about taking a little gamble by coming out of your comfort zone, you know, the world that Bong and I, Bong lives in and I used to live in the past, has been quite structured. It's really about, we know what the threat is, we need to go fix it, we'll design as if as we go make it happen, we'll fly it. Life is so much more complicated than that and so it's really, to me, I mean, you take an example of the pitch days of Bong talks about, I think taking a gamble by attempting to just do a lot of pilot programs, work the trust factor between government folks and the industry folks and academia, because we are all in this together in a lot of ways. For example, I mean, we just sent a paper to the white house at their request about, you know, what would we do from a workforce development perspective and we hope to embellish on this over time once the initiative matures, but we have a piece of it for example, is a thing we call "clear for success," getting back to president Armstrong's comments so at a collegiate level, you know, high, high, high quality folks are in high demand. So why don't we put together a program that grabs kids in their underclass years, identifies folks that are interested in doing something like this, get them scholarships, have a job waiting for them that they're contracted for before they graduate, and when they graduate, they walk with an SCI clearance. We believe that can be done, so that's an example of ways in which public-private partnerships can happen to where you now have a talented kid ready to go on day one. We think those kinds of things can happen, it just gets back down to being focused on specific initiatives, giving them a chance and run as many pilot programs as you can, like pitch days. >> That's a great point, it's a good segue. Go ahead, President Armstrong. >> I just want to jump in and echo both the Bong and Steve's comments, but Steve that, you know, your point of, you know our graduates, we consider them ready day one, well they need to be ready day one and ready to go secure. We totally support that and love to follow up offline with you on that. That's exciting and needed, very much needed more of it, some of it's happening, but we certainly have been thinking a lot about that and making some plans. >> And that's a great example, a good segue. My next question is kind of re-imagining these workflows is kind of breaking down the old way and bringing in kind of the new way, accelerate all kinds of new things. There are creative ways to address this workforce issue and this is the next topic, how can we employ new creative solutions because let's face it, you know, it's not the days of get your engineering degree and go interview for a job and then get slotted in and get the intern, you know, the programs and you'd matriculate through the system. This is multiple disciplines, cybersecurity points at that. You could be smart in math and have a degree in anthropology and be one of the best cyber talents on the planet. So this is a new, new world, what are some creative approaches that's going to work for you? >> Alright, good job, one of the things, I think that's a challenge to us is, you know, somehow we got me working for, with the government, sexy right? You know, part of the challenge we have is attracting the right level of skill sets and personnel but, you know, we're competing, oftentimes, with the commercial side, the gaming industry as examples is a big deal. And those are the same talents we need to support a lot of the programs that we have in DOD. So somehow we have do a better job to Steve's point about making the work within DOD, within the government, something that they would be interested early on. So attract them early, you know, I could not talk about Cal Poly's challenge program that they were going to have in June inviting high school kids really excited about the whole idea of space and cyber security and so on. Those are some of the things that I think we have to do and continue to do over the course of the next several years. >> Awesome, any other creative approaches that you guys see working or might be an idea, or just to kind of stoke the ideation out there? Internships, obviously internships are known, but like, there's got to be new ways. >> Alright, I think you can take what Steve was talking about earlier, getting students in high school and aligning them sometimes at first internship, not just between the freshman and sophomore year, but before they enter Cal Poly per se and they're involved. So I think that's absolutely key, getting them involved in many other ways. We have an example of upskilling or work redevelopment here in the central coast, PG&E Diablo nuclear plant that is going to decommission in around 2024. And so we have a ongoing partnership to work and reposition those employees for the future. So that's, you know, engineering and beyond but think about that just in the manner that you were talking about. So the upskilling and reskilling, and I think that's where, you know, we were talking about that Purdue University, other California universities have been dealing with online programs before COVID, and now with COVID so many more Faculty were pushed into that area, there's going to be a much more going and talk about workforce development in upskilling and reskilling, the amount of training and education of our faculty across the country in virtual and delivery has been huge. So there's always a silver linings in the cloud. >> I want to get your guys' thoughts on one final question as we end the segment, and we've seen on the commercial side with cloud computing on these highly accelerated environments where, you know, SAS business model subscription, and that's on the business side, but one of the things that's clear in this trend is technology and people work together and technology augments the people components. So I'd love to get your thoughts as we look at a world now, we're living in COVID, and Cal Poly, you guys have remote learning right now, it's at the infancy, it's a whole new disruption, if you will, but also an opportunity enable new ways to encollaborate, So if you look at people and technology, can you guys share your view and vision on how communities can be developed, how these digital technologies and people can work together faster to get to the truth or make a discovery, hire, develop the workforce, these are opportunities, how do you guys view this new digital transformation? >> Well, I think there's huge opportunities and just what we're doing with this symposium, we're filming this on Monday and it's going to stream live and then the three of us, the four of us can participate and chat with participants while it's going on. That's amazing and I appreciate you, John, you bringing that to this symposium. I think there's more and more that we can do. From a Cal Poly perspective, with our pedagogy so, you know, linked to learn by doing in-person will always be important to us, but we see virtual, we see partnerships like this, can expand and enhance our ability and minimize the in-person time, decrease the time to degree, enhance graduation rate, eliminate opportunity gaps for students that don't have the same advantages. So I think the technological aspect of this is tremendous. Then on the upskilling and reskilling, where employees are all over, they can re be reached virtually, and then maybe they come to a location or really advanced technology allows them to get hands on virtually, or they come to that location and get it in a hybrid format. So I'm very excited about the future and what we can do, and it's going to be different with every university, with every partnership. It's one size does not fit all, There's so many possibilities, Bong, I can almost imagine that social network that has a verified, you know, secure clearance. I can jump in, and have a little cloak of secrecy and collaborate with the DOD possibly in the future. But these are the kind of crazy ideas that are needed, your thoughts on this whole digital transformation cross-pollination. >> I think technology is going to be revolutionary here, John, you know, we're focusing lately on what we call visual engineering to quicken the pace of the delivery capability to warfighter as an example, I think AI, Machine Language, all that's going to have a major play in how we operate in the future. We're embracing 5G technologies, and the ability for zero latency, more IOT, more automation of the supply chain, that sort of thing, I think the future ahead of us is very encouraging, I think it's going to do a lot for national defense, and certainly the security of the country. >> Steve, your final thoughts, space systems are systems, and they're connected to other systems that are connected to people, your thoughts on this digital transformation opportunity. >> Such a great question and such a fun, great challenge ahead of us. Echoing my colleagues sentiments, I would add to it, you know, a lot of this has, I think we should do some focusing on campaigning so that people can feel comfortable to include the Congress to do things a little bit differently. You know, we're not attuned to doing things fast, but the dramatic, you know, the way technology is just going like crazy right now, I think it ties back to, hoping to convince some of our senior leaders and what I call both sides of the Potomac river, that it's worth taking this gamble, we do need to take some of these things you know, in a very proactive way. And I'm very confident and excited and comfortable that this is going to be a great time ahead and all for the better. >> You know, I always think of myself when I talk about DC 'cause I'm not a lawyer and I'm not a political person, but I always say less lawyers, more techies than in Congress and Senate, so (laughter)I always get in trouble when I say that. Sorry, President Armstrong, go ahead. >> Yeah, no, just one other point and Steve's alluded to this and Bong did as well, I mean, we've got to be less risk averse in these partnerships, that doesn't mean reckless, but we have to be less risk averse. And also, as you talk about technology, I have to reflect on something that happened and you both talked a bit about Bill Britton and his impact on Cal Poly and what we're doing. But we were faced a few years ago of replacing traditional data, a data warehouse, data storage, data center and we partnered with AWS and thank goodness, we had that in progress and it enhanced our bandwidth on our campus before COVID hit, and with this partnership with the digital transformation hub, so there's a great example where we had that going. That's not something we could have started, "Oh COVID hit, let's flip that switch." And so we have to be proactive and we also have to not be risk-averse and do some things differently. That has really salvaged the experience for our students right now, as things are flowing well. We only have about 12% of our courses in person, those essential courses and I'm just grateful for those partnerships that I have talked about today. >> And it's a shining example of how being agile, continuous operations, these are themes that expand the space and the next workforce needs to be built. Gentlemen, thank you very much for sharing your insights, I know Bong, you're going to go into the defense side of space in your other sessions. Thank you gentlemen, for your time, for a great session, I appreciate it. >> Thank you. >> Thank you gentlemen. >> Thank you. >> Thank you. >> Thank you, thank you all. I'm John Furey with The Cube here in Palo Alto, California covering and hosting with Cal Poly, the Space and Cybersecurity Symposium 2020, thanks for watching. (bright atmospheric music)

>> Announcer: From theCUBE studios in Palo Alto and Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hi, I'm Stuart Miniman and welcome to this episode of CUBE conversations. I'm here from our Boston area studio. Happy to welcome to the program, Doug Matthews. He's the vice president of product management with Veritas coming to us from Atlanta. Doug, thanks so much for joining us. Nice to see you. >> Hey, great to see you Stuart and thanks for having me today. >> Yeah, so Doug obviously, 2020, there's a lot of change going on, globally, a lot of things happening financially, but one of the ongoing changes that we've been watching and has had huge ripple effects, is of course the impact on cloud. So why don't you bring us in a little bit. Tell us, what you work on, and how cloud has been impacting, what's happening with the data protection or resiliency in your world? >> Sure, so, Veritas Technologies is a long brand of focus on data protection. And we are highly focused on protecting data regardless of where it lives, whether it lives on a customer's premise or whether it lives in a cloud, public cloud architecture, or even in a cloud application. So, for us, this has been a transformational change as more and more people begin to adopt cloud services as the work from home trend starts and we're seeing them much higher emergence of ransomware. >> Yeah, so cloud of course, it is a unevenly distributed if you look at, if look at a countries, if you look at industries, >> Right. >> I'm wondering what you're hearing from customers, what's kind of the 2020 snapshot of where we are with the overall cloud wave. >> Sure, yeah. What we're seeing is a much more rapid adoption of cloud services as businesses and organizations begin to wrestle with the fact that they can't bring people into the office. So the work from home trend, the access to resources needs to be delivered through the cloud applications, even data centers. We're now beginning to see you some supply chain hiccups that are causing the supply chain fulfillment of server orders beginning to slow down. So customers are beginning to think more broadly about cloud gives you agility, operational ability to react to change. So people are accelerating their adoption of cloud resources because they're almost being forced to. >> Yeah, is there anything specific you're seeing are you getting any data maybe with coronavirus as to what service is in the cloud and what impact that's having on your customers? >> Yeah, so dramatic change, right. So for example, Azure Cloud Services are up something like 775%, which is just astounding number, VDI, Virtual Desktops up over 300%, and just massive of these cloud resources is just a continuing component trim. >> Yeah, and how about from a data protection standpoint and security. Obviously, we've seen that the malicious attacks have increased, unfortunately, and when you have more people outside of the enterprise walls itself, there's more things we need to make sure that our data is secure. >> Yeah, absolutely. And we have without a doubt seen a rise in ransomware attacks and malware attacks. What's interesting to note is increasingly the consumer is placing the blame for these attacks, less on the perpetrators and more on the organization and business leaders. For example, over 40% of consumers actually hold the business leader responsible where ransomware attack that their business suffers And (indistinct) percent would actually say that they would stop buying from an organization that suffers from a malware or has been a victim of an attack. So the mindset here is no longer place blame on the perpetrators, but on the business leader and owner that didn't protect their data in such a way that kept the user from being exposed. >> Yeah, Doug, why don't you bring us inside and explain how Veritas is helping in these environments to protect our data? >> Yeah, so I think the first thing is as a business leader begins to think about their cloud contract, they need to understand their SLAs and how that maps to what that cloud provider is going to provide for them. We actually found, recently, we produced a report called the "Truth in Cloud Report" and in that report, we talked to cloud architects and business leaders over 1600 of them that respond, and one of the things that we found pretty interesting is that 85% of the respondents said that the cloud service provider is responsible for protecting their data, but that's completely disconnected from the actual fact that over 53% or so of those that responded actually had an SLA that was higher than their cloud service provider would provide. So they believe it's supposed to be done by the cloud provider, but it isn't being done by the cloud provider to meet their needs. So people really need to think about and analyze who's protecting their data and how they're protected when they move into that cloud architecture. >> Yeah, I have to say I'm a little surprised to hear those results, the drum beat that I've heard from the security industry for the last couple of years has been about the shared responsibility model, there have been some rather public and highly visible failures where say somebody made a false assumption that was something would be turned on and the cloud service providers have come back and said, "Hey, you all, if there's these things you need to do and just because there's a lock on the door, if you don't lock it, we're not responsible for it". It is kind of the analogy I use. Shouldn't we, by 2020 now, where cloud is not new. I would have thought that we would have gotten through some of these rather basic understanding of who's responsible for what and ultimately who needs to answer for these things. >> Yeah, I think we're still in that adoption life cycle and I think there was the... We mapped this as a hype cycle of our own... We're people right in the adoption of cloud and we believe that classically cloud architects, probably 20 to 25% of organizations, have actually fully adopted cloud at this point and are aggressively adopting cloud, but there is such a rush now to get in from these business leaders and architects, who haven't really you've taken the time to frame and understand things that they're now being pulled along in this journey and rediscovering this thing. So we have to keep that drum beat up as some of the cloud laggers or more mainstream technology adopters are beginning to adopt cloud 'cause they haven't stayed aware. I completely agree with you. We've been talking about the shared responsibility model for a long time, but these survey results showed that it's still a problem. >> Doug, you make a great point. You talk about companies have had to compress their cycles and while normally they would have been able to really plan things, walk through what they were going to do, they're often rushing into things a little bit more. So what advice would you give other companies that are now been dipping their toe, but jumping into cloud or they need to accelerate what they're doing, what advice would you make sure that people don't get in a little over their skis or do something that they're going to regret? >> Sure, so the first thing I would say is, have a recovery plan and make sure you rehearse it. Again, back to the blame here is falling on business leaders, so don't get caught by it, make sure that you understand your recovery plan, make sure that you rehearse it and that it works. The second thing is, I would absolutely read that fine print of your contract and make sure that your required SLAs match up with what your cloud services provider provides, or you need to adapt technology that helps you to adjust to make sure that you achieve that SLA. And then the final thing as you're doing all this, so many people look at cloud for cost optimization as an outcome, make sure you don't overpay because the there are various levels of cloud storage, cloud storage is extremely expensive, cloud resources are expensive. Typically people think about the actual host itself or the instance itself, make sure that you think about the storage as well. So use things like deduplication or lower tiers of storage to optimize your cost efficiency. >> All right, so Doug as we mentioned earlier in the discussion Veritas has been around for awhile really well understood how you help customers, help connect us as to what you're doing for the cloud specifically. >> Sure, so specifically for cloud, let's focus on an upcoming release. I think most people that are probably watching this are familiar with our product called NetBackup, it's the enterprise leader in data protection. NetBackup is designed to solve the data protection challenges across all infrastructure whether it's your typical on premise infrastructure or new cloud architectures. So in these new cloud architectures, we've done things to make sure that you efficiently utilize cloud storage. So we do things like deduplication, we also control network bandwidth and make sure that you minimize rather your impact on network bandwidth. So you've minimize your overall cost requirements associated with cloud or data protection. The other thing that we're doing in this next release, which I think is really exciting is, we're going to take our cloud point solution and our resiliency platform solution, these solutions are designed to help customers, efficiently recover in cloud as well as do it in a very quick and automated fashion. And we're going to bake those into our NetBackup product. So the NetBackup consumer will automatically have access to these two new technologies that we've been developing for the last several years. So that's really exciting for us to be including those with our NetBackup product. >> All right, and Doug, when we talk about cloud, is this supported across any cloud or there are specific integrations that we should understand or just where does this fit in the entire, on a multicloud ecosystem? >> Yeah, so the one other thing, again, about NetBackup being a platform, it support over 1400 different data sources, over 800 different data targets, and that includes over 60 cloud providers, so it supports us this broad ecosystem of cloud architecture but where that makes sense, we always go deep. So we go deep with your traditional cloud providers, like AWS or Azure and provide that deeper level capability for those those cloud providers. >> All right, great. What else should we know about what's new from Veratis's cloud offering? >> Yeah, I think when we build our cloud solutions, we focus on a four stage lifecycle of a customer. For example, we realized that customer wants to migrate the cloud, they want to protect their resources in cloud, they want to be able to recover when the time comes and then optimize their cloud footprint. So we tend to focus in those four pillars to achieve success for our customers. >> Yeah, a question on that, I think about moving to the cloud, there's a lot of discussion about how do I modernize my environment and often it's I move to the cloud, but then how do I really become cloud native, if you will. So I'm making updates and I'm making changes. If I think about backup traditionally, it was, let me get something, let me put it in place and I'm going to run it that way for years. So how does Veritas make sure that as I'm modernizing as I'm making changes that my data is still going to be protected no matter where I am along that journey. >> Sure, so I think as customers are migrating to and adopting cloud, their first stage on the train or their first station that they come to on the train is that lift and shift approach. We're going to take everything from on premise and we're going to move it to the cloud. So we have technologies that will help our customer do that with automated failback, so they can set up the replication solution, push a button now they're up and running in cloud, hey, it didn't work, push the button and they're back down in their on premise environment, adjust and do it when it makes sense and they're ready to make it make it work. So we have a fairly robust set of technologies that can help in that lift and shift process, lift and shift process. The other thing that we provide is for those infrastructure as code guys, the guys that are further out that are thinking, how do I natively build cloud based solutions? We have a very full suite of APIs so that the customer can implement their infrastructure as code requirements right there through that Swagger interface that you would expect and deploy infrastructure as code environments in cloud, utilizing our enterprise class API. So we're purpose built to be able to help customers get the cloud, and then also support those cloud applications that are built there natively. >> Yeah, Doug, I'm wondering, do you have either a customer example, maybe anonymized you can share, or just any general cloud learnings about where your customers are and how Veritas is helping them? >> Sure, so one of the first things that we see customers try to accomplish is the move of their backup storage infrastructure into a longterm storage in cloud. So they might use it as a replacement for tape, they might use it as a replacement for disk, and they want to live in the cloud environment. So we have a capability, we call it CloudCatalyst that moves data very efficiently from on prem into the cloud, keeps it deduplicated, optimizes it for wide area network transmit, and really efficiently moves that data in the cloud, and then really what's important is once it gets in the cloud, it doesn't touch that data. So we have a large customer who's got over a couple of petabytes of data in Europe that wanted to make that migration to cloud, they were using another provider at the time, so we came in and we were actually able to save them over 98% of their overall operational cost associated with moving and migrating that data just based on this one capability. So that's a key element, right. As people are moving that data to cloud, make sure that it stays efficient, optimized, deduplicated in stored efficient. >> All right, Doug, I'll give you the final word. >> Yeah, I think my warning for customers is to make sure that they are well-protected with their data state in cloud. Understand what your cloud service provider provides, make sure that your SLOs, your service level objectives are going to be met by the technologies that you deploy in order to solve your cloud problems. And then think about things holistically, think about it first from the migration, then how you protect it, then once you get there, what do you do to recover, make you test that. And then once you've got everything kind of thought through and ready to implement, make sure that you've optimized it to be efficient in it's cost utilization and in it's operations. >> All right, well, Doug Matthews, thank you so much for the updates, we really appreciate you sharing us some important tips for customers as they go along their cloud journey. >> Thank you so much, Stuart. >> All right, I'm Stuart Miniman and thank you for watching theCUBE. (gentle music)

hello everybody and thank you for joining us today for the virtual verdict of BBC 2020 today's breakout session is entitled the shortest path to Vertica best practices for data warehouse migration ETL I'm Jeff Healey I'll leave verdict and marketing I'll be your host for this breakout session joining me today are Marco guesser and Mauricio lychee vertical product engineer is joining us from yume region but before we begin I encourage you to submit questions or comments or in the virtual session don't have to wait just type question in a comment in the question box below the slides that click Submit as always there will be a Q&A session the end of the presentation will answer as many questions were able to during that time any questions we don't address we'll do our best to answer them offline alternatively visit Vertica forums that formed at vertical comm to post your questions there after the session our engineering team is planning to join the forums to keep the conversation going also reminder that you can maximize your screen by clicking the double arrow button and lower right corner of the sides and yes this virtual session is being recorded be available to view on demand this week send you a notification as soon as it's ready now let's get started over to you mark marco andretti oh hello everybody this is Marco speaking a sales engineer from Amir said I'll just get going ah this is the agenda part one will be done by me part two will be done by Mauricio the agenda is as you can see big bang or piece by piece and the migration of the DTL migration of the physical data model migration of et I saw VTL + bi functionality what to do with store procedures what to do with any possible existing user defined functions and migration of the data doctor will be by Maurice it you want to talk about emeritus Rider yeah hello everybody my name is Mauricio Felicia and I'm a birth record pre-sales like Marco I'm going to talk about how to optimize that were always using some specific vertical techniques like table flattening live aggregated projections so let me start with be a quick overview of the data browser migration process we are going to talk about today and normally we often suggest to start migrating the current that allows the older disease with limited or minimal changes in the overall architecture and yeah clearly we will have to port the DDL or to redirect the data access tool and we will platform but we should minimizing the initial phase the amount of changes in order to go go live as soon as possible this is something that we also suggest in the second phase we can start optimizing Bill arouse and which again with no or minimal changes in the architecture as such and during this optimization phase we can create for example dog projections or for some specific query or optimize encoding or change some of the visual spools this is something that we normally do if and when needed and finally and again if and when needed we go through the architectural design for these operations using full vertical techniques in order to take advantage of all the features we have in vertical and this is normally an iterative approach so we go back to name some of the specific feature before moving back to the architecture and science we are going through this process in the next few slides ok instead in order to encourage everyone to keep using their common sense when migrating to a new database management system people are you often afraid of it it's just often useful to use the analogy of how smooth in your old home you might have developed solutions for your everyday life that make perfect sense there for example if your old cent burner dog can't walk anymore you might be using a fork lifter to heap in through your window in the old home well in the new home consider the elevator and don't complain that the window is too small to fit the dog through this is very much in the same way as Narita but starting to make the transition gentle again I love to remain in my analogy with the house move picture your new house as your new holiday home begin to install everything you miss and everything you like from your old home once you have everything you need in your new house you can shut down themselves the old one so move each by feet and go for quick wins to make your audience happy you do bigbang only if they are going to retire the platform you are sitting on where you're really on a sinking ship otherwise again identify quick wings implement published and quickly in Vertica reap the benefits enjoy the applause use the gained reputation for further funding and if you find that nobody's using the old platform anymore you can shut it down if you really have to migrate you can still go to really go to big battle in one go only if you absolutely have to otherwise migrate by subject area use the group all similar clear divisions right having said that ah you start off by migrating objects objects in the database that's one of the very first steps it consists of migrating verbs the places where you can put the other objects into that is owners locations which is usually schemers then what do you have that you extract tables news then you convert the object definition deploy them to Vertica and think that you shouldn't do it manually never type what you can generate ultimate whatever you can use it enrolls usually there is a system tables in the old database that contains all the roads you can export those to a file reformat them and then you have a create role and create user scripts that you can apply to Vertica if LDAP Active Directory was used for the authentication the old database vertical supports anything within the l dubs standard catalogued schemas should be relatively straightforward with maybe sometimes the difference Vertica does not restrict you by defining a schema as a collection of all objects owned by a user but it supports it emulates it for old times sake Vertica does not need the catalog or if you absolutely need the catalog from the old tools that you use it it usually said it is always set to the name of the database in case of vertical having had now the schemas the catalogs the users and roles in place move the take the definition language of Jesus thought if you are allowed to it's best to use a tool that translates to date types in the PTL generated you might see as a mention of old idea to listen by memory to by the way several times in this presentation we are very happy to have it it actually can export the old database table definition because they got it works with the odbc it gets what the old database ODBC driver translates to ODBC and then it has internal translation tables to several target schema to several target DBMS flavors the most important which is obviously vertical if they force you to use something else there are always tubes like sequel plots in Oracle the show table command in Tara data etc H each DBMS should have a set of tools to extract the object definitions to be deployed in the other instance of the same DBMS ah if I talk about youth views usually a very new definition also in the old database catalog one thing that you might you you use special a bit of special care synonyms is something that were to get emulated different ways depending on the specific needs I said I stop you on the view or table to be referred to or something that is really neat but other databases don't have the search path in particular that works that works very much like the path environment variable in Windows or Linux where you specify in a table an object name without the schema name and then it searched it first in the first entry of the search path then in a second then in third which makes synonym hugely completely unneeded when you generate uvl we remained in the analogy of moving house dust and clean your stuff before placing it in the new house if you see a table like the one here at the bottom this is usually corpse of a bad migration in the past already an ID is usually an integer and not an almost floating-point data type a first name hardly ever has 256 characters and that if it's called higher DT it's not necessarily needed to store the second when somebody was hired so take good care in using while you are moving dust off your stuff and use better data types the same applies especially could string how many bytes does a string container contains for eurozone's it's not for it's actually 12 euros in utf-8 in the way that Vertica encodes strings and ASCII characters one died but the Euro sign thinks three that means that you have to very often you have when you have a single byte character set up a source you have to pay attention oversize it first because otherwise it gets rejected or truncated and then you you will have to very carefully check what their best science is the best promising is the most promising approach is to initially dimension strings in multiples of very initial length and again ODP with the command you see there would be - I you 2 comma 4 will double the lengths of what otherwise will single byte character and multiply that for the length of characters that are wide characters in traditional databases and then load the representative sample of your cells data and profile using the tools that we personally use to find the actually longest datatype and then make them shorter notice you might be talking about the issues of having too long and too big data types on projection design are we live and die with our projects you might know remember the rules on how default projects has come to exist the way that we do initially would be just like for the profiling load a representative sample of the data collector representative set of already known queries from the Vertica database designer and you don't have to decide immediately you can always amend things and otherwise follow the laws of physics avoid moving data back and forth across nodes avoid heavy iOS if you can design your your projections initially by hand encoding matters you know that the database designer is a very tight fisted thing it would optimize to use as little space as possible you will have to think of the fact that if you compress very well you might end up using more time in reading it this is the testimony to run once using several encoding types and you see that they are l e is the wrong length encoded if sorted is not even visible while the others are considerably slower you can get those nights and look it in look at them in detail I will go in detail you now hear about it VI migrations move usually you can expect 80% of everything to work to be able to live to be lifted and shifted you don't need most of the pre aggregated tables because we have live like regain projections many BI tools have specialized query objects for the dimensions and the facts and we have the possibility to use flatten tables that are going to be talked about later you might have to ride those by hand you will be able to switch off casting because vertical speeds of everything with laps Lyle aggregate projections and you have worked with molap cubes before you very probably won't meet them at all ETL tools what you will have to do is if you do it row by row in the old database consider changing everything to very big transactions and if you use in search statements with parameter markers consider writing to make pipes and using verticals copy command mouse inserts yeah copy c'mon that's what I have here ask you custom functionality you can see on this slide the verticals the biggest number of functions in the database we compare them regularly by far compared to any other database you might find that many of them that you have written won't be needed on the new database so look at the vertical catalog instead of trying to look to migrate a function that you don't need stored procedures are very often used in the old database to overcome their shortcomings that Vertica doesn't have very rarely you will have to actually write a procedure that involves a loop but it's really in our experience very very rarely usually you can just switch to standard scripting and this is basically repeating what Mauricio said in the interest of time I will skip this look at this one here the most of the database data warehouse migration talks should be automatic you can use you can automate GDL migration using ODB which is crucial data profiling it's not crucial but game-changing the encoding is the same thing you can automate at you using our database designer the physical data model optimization in general is game-changing you have the database designer use the provisioning use the old platforms tools to generate the SQL you have no objects without their onus is crucial and asking functions and procedures they are only crucial if they depict the company's intellectual property otherwise you can almost always replace them with something else that's it from me for now Thank You Marco Thank You Marco so we will now point our presentation talking about some of the Vertica that overall the presentation techniques that we can implement in order to improve the general efficiency of the dot arouse and let me start with a few simple messages well the first one is that you are supposed to optimize only if and when this is needed in most of the cases just a little shift from the old that allows to birth will provide you exhaust the person as if you were looking for or even better so in this case probably is not really needed to to optimize anything in case you want optimize or you need to optimize then keep in mind some of the vertical peculiarities for example implement delete and updates in the vertical way use live aggregate projections in order to avoid or better in order to limit the goodbye executions at one time used for flattening in order to avoid or limit joint and and then you can also implement invert have some specific birth extensions life for example time series analysis or machine learning on top of your data we will now start by reviewing the first of these ballots optimize if and when needed well if this is okay I mean if you get when you migrate from the old data where else to birth without any optimization if the first four month level is okay then probably you only took my jacketing but this is not the case one very easier to dispute in session technique that you can ask is to ask basket cells to optimize the physical data model using the birth ticket of a designer how well DB deal which is the vertical database designer has several interfaces here I'm going to use what we call the DB DB programmatic API so basically sequel functions and using other databases you might need to hire experts looking at your data your data browser your table definition creating indexes or whatever in vertical all you need is to run something like these are simple as six single sequel statement to get a very well optimized physical base model you see that we start creating a new design then we had to be redesigned tables and queries the queries that we want to optimize we set our target in this case we are tuning the physical data model in order to maximize query performances this is why we are using my design query and in our statement another possible journal tip would be to tune in order to reduce storage or a mix between during storage and cheering queries and finally we asked Vertica to produce and deploy these optimized design in a matter of literally it's a matter of minutes and in a few minutes what you can get is a fully optimized fiscal data model okay this is something very very easy to implement keep in mind some of the vertical peculiarities Vaska is very well tuned for load and query operations aunt Berta bright rose container to biscuits hi the Pharos container is a group of files we will never ever change the content of this file the fact that the Rose containers files are never modified is one of the political peculiarities and these approach led us to use minimal locks we can add multiple load operations in parallel against the very same table assuming we don't have a primary or unique constraint on the target table in parallel as a sage because they will end up in two different growth containers salad in read committed requires in not rocket fuel and can run concurrently with insert selected because the Select will work on a snapshot of the catalog when the transaction start this is what we call snapshot isolation the kappa recovery because we never change our rows files are very simple and robust so we have a huge amount of bandages due to the fact that we never change the content of B rows files contain indiarose containers but on the other side believes and updates require a little attention so what about delete first when you believe in the ethica you basically create a new object able it back so it appeared a bit later in the Rose or in memory and this vector will point to the data being deleted so that when the feed is executed Vertica will just ignore the rules listed in B delete records and it's not just about the leak and updating vertical consists of two operations delete and insert merge consists of either insert or update which interim is made of the little insert so basically if we tuned how the delete work we will also have tune the update in the merge so what should we do in order to optimize delete well remember what we said that every time we please actually we create a new object a delete vector so avoid committing believe and update too often we reduce work the work for the merge out for the removal method out activities that are run afterwards and be sure that all the interested projections will contain the column views in the dedicate this will let workers directly after access the projection without having to go through the super projection in order to create the vector and the delete will be much much faster and finally another very interesting optimization technique is trying to segregate the update and delete operation from Pyrenean third workload in order to reduce lock contention beliefs something we are going to discuss and these contain using partition partition operation this is exactly what I want to talk about now here you have a typical that arouse architecture so we have data arriving in a landing zone where the data is loaded that is from the data sources then we have a transformation a year writing into a staging area that in turn will feed the partitions block of data in the green data structure we have at the end those green data structure we have at the end are the ones used by the data access tools when they run their queries sometimes we might need to change old data for example because we have late records or maybe because we want to fix some errors that have been originated in the facilities so what we do in this case is we just copied back the partition we want to change or we want to adjust from the green interior a the end to the stage in the area we have a very fast operation which is Tokyo Station then we run our updates or our adjustment procedure or whatever we need in order to fix the errors in the data in the staging area and at the very same time people continues to you with green data structures that are at the end so we will never have contention between the two operations when we updating the staging area is completed what we have to do is just to run a swap partition between tables in order to swap the data that we just finished to adjust in be staging zone to the query area that is the green one at the end this swap partition is very fast is an atomic operation and basically what will happens is just that well exchange the pointer to the data this is a very very effective techniques and lot of customer useless so why flops on table and live aggregate for injections well basically we use slot in table and live aggregate objection to minimize or avoid joint this is what flatten table are used for or goodbye and this is what live aggregate projections are used for now compared to traditional data warehouses better can store and process and aggregate and join order of magnitudes more data that is a true columnar database joint and goodbye normally are not a problem at all they run faster than any traditional data browse that page there are still scenarios were deficits are so big and we are talking about petabytes of data and so quickly going that would mean be something in order to boost drop by and join performances and this is why you can't reduce live aggregate projections to perform aggregations hard loading time and limit the need for global appear on time and flux and tables to combine information from different entity uploading time and again avoid running joint has query undefined okay so live aggregate projections at this point in time we can use live aggregate projections using for built in aggregate functions which are some min Max and count okay let's see how this works suppose that you have a normal table in this case we have a table unit sold with three columns PIB their time and quantity which has been segmented in a given way and on top of this base table we call it uncle table we create a projection you see that we create the projection using the salad that will aggregate the data we get the PID we get the date portion of the time and we get the sum of quantity from from the base table grouping on the first two columns so PID and the date portion of day time okay what happens in this case when we load data into the base table all we have to do with load data into the base table when we load data into the base table we will feel of course big injections that assuming we are running with k61 we will have to projection to projections and we will know the data in those two projection with all the detail in data we are going to load into the table so PAB playtime and quantity but at the very same time at the very same time and without having to do nothing any any particular operation or without having to run any any ETL procedure we will also get automatically in the live aggregate projection for the data pre aggregated with be a big day portion of day time and the sum of quantity into the table name total quantity you see is something that we get for free without having to run any specific procedure and this is very very efficient so the key concept is that during the loading operation from VDL point of view is executed again the base table we do not explicitly aggregate data or we don't have any any plc do the aggregation is automatic and we'll bring the pizza to be live aggregate projection every time we go into the base table you see the two selection that we have we have on in this line on the left side and you see that those two selects will produce exactly the same result so running select PA did they trying some quantity from the base table or running the select star from the live aggregate projection will result exactly in the same data you know this is of course very useful but is much more useful result that if we and we can observe this if we run an explained if we run the select against the base table asking for this group data what happens behind the scene is that basically vertical itself that is a live aggregate projection with the data that has been already aggregating loading phase and rewrite your query using polite aggregate projection this happens automatically you see this is a query that ran a group by against unit sold and vertical decided to rewrite this clearly as something that has to be collected against the light aggregates projection because if I decrease this will save a huge amount of time and effort during the ETL cycle okay and is not just limited to be information you want to aggregate for example another query like select count this thing you might note that can't be seen better basically our goodbyes will also take advantage of the live aggregate injection and again this is something that happens automatically you don't have to do anything to get this okay one thing that we have to keep very very clear in mind Brassica what what we store in the live aggregate for injection are basically partially aggregated beta so in this example we have two inserts okay you see that we have the first insert that is entered in four volts and the second insert which is inserting five rules well in for each of these insert we will have a partial aggregation you will never know that after the first insert you will have a second one so better will calculate the aggregation of the data every time irin be insert it is a key concept and be also means that you can imagine lies the effectiveness of bees technique by inserting large chunk of data ok if you insert data row by row this technique live aggregate rejection is not very useful because for every goal that you insert you will have an aggregation so basically they'll live aggregate injection will end up containing the same number of rows that you have in the base table but if you everytime insert a large chunk of data the number of the aggregations that you will have in the library get from structure is much less than B base data so this is this is a key concept you can see how these works by counting the number of rows that you have in alive aggregate injection you see that if you run the select count star from the solved live aggregate rejection the query on the left side you will get four rules but actually if you explain this query you will see that he was reading six rows so this was because every of those two inserts that we're actively interested a few rows in three rows in India in the live aggregate projection so this is a key concept live aggregate projection keep partially aggregated data this final aggregation will always happen at runtime okay another which is very similar to be live aggregate projection or what we call top K projection we actually do not aggregate anything in the top case injection we just keep the last or limit the amount of rows that we collect using the limit over partition by all the by clothes and this again in this case we create on top of the base stable to top gay projection want to keep the last quantity that has been sold and the other one to keep the max quantity in both cases is just a matter of ordering the data in the first case using the B time column in the second page using quantity in both cases we fill projection with just the last roof and again this is something that we do when we insert data into the base table and this is something that happens automatically okay if we now run after the insert our select against either the max quantity okay or be lost wanted it okay we will get the very last you see that we have much less rows in the top k projections okay we told at the beginning that basically we can use for built-in function you might remember me max sum and count what if I want to create my own specific aggregation on top of the lid and customer sum up because our customers have very specific needs in terms of live aggregate projections well in this case you can code your own live aggregate production user-defined functions so you can create the user-defined transport function to implement any sort of complex aggregation while loading data basically after you implemented miss VPS you can deploy using a be pre pass approach that basically means the data is aggregated as loading time during the data ingestion or the batch approach that means that the data is when that woman is running on top which things to remember on live a granade projections they are limited to be built in function again some max min and count but you can call your own you DTF so you can do whatever you want they can reference only one table and for bass cab version before 9.3 it was impossible to update or delete on the uncle table this limit has been removed in 9.3 so you now can update and delete data from the uncle table okay live aggregate projection will follow the segmentation of the group by expression and in some cases the best optimizer can decide to pick the live aggregates objection or not depending on if depending on the fact that the aggregation is a consistent or not remember that if we insert and commit every single role to be uncoachable then we will end up with a live aggregate indirection that contains exactly the same number of rows in this case living block or using the base table it would be the same okay so this is one of the two fantastic techniques that we can implement in Burtka this live aggregate projection is basically to avoid or limit goodbyes the other which we are going to talk about is cutting table and be reused in order to avoid the means for joins remember that K is very fast running joints but when we scale up to petabytes of beta we need to boost and this is what we have in order to have is problem fixed regardless the amount of data we are dealing with so how what about suction table let me start with normalized schemas everybody knows what is a normalized scheme under is no but related stuff in this slide the main scope of an normalized schema is to reduce data redundancies so and the fact that we reduce data analysis is a good thing because we will obtain fast and more brides we will have to write into a database small chunks of data into the right table the problem with these normalized schemas is that when you run your queries you have to put together the information that arrives from different table and be required to run joint again jointly that again normally is very good to run joint but sometimes the amount of data makes not easy to deal with joints and joints sometimes are not easy to tune what happens in in the normal let's say traditional data browser is that we D normalize the schemas normally either manually or using an ETL so basically we have on one side in this light on the left side the normalized schemas where we can get very fast right on the other side on the left we have the wider table where we run all the three joints and pre aggregation in order to prepare the data for the queries and so we will have fast bribes on the left fast reads on the Left sorry fast bra on the right and fast read on the left side of these slides the probability in the middle because we will push all the complexity in the middle in the ETL that will have to transform be normalized schema into the water table and the way we normally implement these either manually using procedures that we call the door using ETL this is what happens in traditional data warehouse is that we will have to coach in ETL layer in order to round the insert select that will feed from the normalized schema and right into the widest table at the end the one that is used by the data access tools we we are going to to view store to run our theories so this approach is costly because of course someone will have to code this ETL and is slow because someone will have to execute those batches normally overnight after loading the data and maybe someone will have to check the following morning that everything was ok with the batch and is resource intensive of course and is also human being intensive because of the people that will have to code and check the results it ever thrown because it can fail and introduce a latency because there is a get in the time axis between the time t0 when you load the data into be normalized schema and the time t1 when we get the data finally ready to be to be queried so what would be inverter to facilitate this process is to create this flatten table with the flattened T work first you avoid data redundancy because you don't need the wide table on the normalized schema on the left side second is fully automatic you don't have to do anything you just have to insert the data into the water table and the ETL that you have coded is transformed into an insert select by vatika automatically you don't have to do anything it's robust and this Latin c0 is a single fast as soon as you load the data into the water table you will get all the joints executed for you so let's have a look on how it works in this case we have the table we are going to flatten and basically we have to focus on two different clauses the first one is you see that there is one table here I mentioned value 1 which can be defined as default and then the Select or set using okay the difference between the fold and set using is when the data is populated if we use default data is populated as soon as we know the data into the base table if we use set using Google Earth to refresh but everything is there I mean you don't need them ETL you don't need to code any transformation because everything is in the table definition itself and it's for free and of course is in latency zero so as soon as you load the other columns you will have the dimension value valued as well okay let's see an example here suppose here we have a dimension table customer dimension that is on the left side and we have a fact table on on the right you see that the fact table uses columns like o underscore name or Oh the score city which are basically the result of the salad on top of the customer dimension so Beezus were the join is executed as soon as a remote data into the fact table directly into the fact table without of course loading data that arise from the dimension all the data from the dimension will be populated automatically so let's have an example here suppose that we are running this insert as you can see we are running be inserted directly into the fact table and we are loading o ID customer ID and total we are not loading made a major name no city those name and city will be automatically populated by Vertica for you because of the definition of the flood table okay you see behave well all you need in order to have your widest tables built for you your flattened table and this means that at runtime you won't need any join between base fuck table and the customer dimension that we have used in order to calculate name and city because the data is already there this was using default the other option was is using set using the concept is absolutely the same you see that in this case on the on the right side we have we have basically replaced this all on the school name default with all underscore name set using and same is true for city the concept that I said is the same but in this case which we set using then we will have to refresh you see that we have to run these select trash columns and then the name of the table in this case all columns will be fresh or you can specify only certain columns and this will bring the values for name and city reading from the customer dimension so this technique this technique is extremely useful the difference between default and said choosing just to summarize the most important differences remember you just have to remember that default will relate your target when you load set using when you refresh end and in some cases you might need to use them both so in some cases you might want to use both default end set using in this example here we'll see that we define the underscore name using both default and securing and this means that we love the data populated either when we load the data into the base table or when we run the Refresh this is summary of the technique that we can implement in birth in order to make our and other browsers even more efficient and well basically this is the end of our presentation thank you for listening and now we are ready for the Q&A session you

>>Live from San Francisco. It's the cube covering my groin insight 2019 brought to you by micron. >>We're back at pier 27 in San Francisco. This is the cube, the leader in live tech coverage and we're covering micron insight 2019 I'm Dave Vellante with my cohost David Floyd and this event is kind of interesting. David, it basically intersperses cube interviews with big tent discussions, thought leadership, we've heard from automotive, healthcare and and 5g discussions and no Han is here. He's the vice president and CTO of the emerging business at Erickson. And you were just on a panel. Welcome to the cube. Thanks. Great to be here. You were talking about five G, we're going to talk about five G. so first of all, talking about the emerging business at Ericsson, >>your whole group, you know, so Ericsson, we, you know, 99 a lot of our business today has done what operators emerging business group, we're sort of looking at the intersection of industry, cloud computing, our traditional mobile network operator customers, and how do we, how do we put those together and look for new either products or business models. And really create something new for customers. >>So we tell him when he's talking about five G, everybody gets all excited. Certainly the technology community is excited about it. There's a whole value chain and an ecosystem that's that's pumping right along. The carriers are adopting and the users are just waiting. So what should we know about? >>So I, you know, I think there's a couple of different things. One is from a consumer perspective, you're definitely looking at faster, you know, better. All of the things we've got from the other GS at older things. You know, today, you know, faster downloads of movies. I think what we're, and I'm, I'm in the tech business, not in the prediction business, you know. So I think what we've learned from previous technologies is we almost don't know what the new applications are. We're trying to make the platform as easy as possible for developers to utilize what the network actually has to offer. So I think that's a big part of what we're trying to do. The other part is enhancing what you have today as a consumer is massive, but also industries is a huge pull on 5g. So we talked about industry four. Dot. Zero and really transforming industries and cutting the cables in production lines, allowing monitoring of systems that never happened before. >>A lot of use cases that can be out there. So a, I have a younger son of 22 and I look at my a bill every month. Yeah, I do have him downloading 10 times more data. It doesn't fill me with uh, duty or just the excise to carriers. I mean while we've seen with every, every end. And of course that was the question how much of a down, yeah, how much low is the price going to be on this baffled breeze you go to invest an awful lot. Absolutely. So I mean we're going to see it tens, 10 orders of magnitude cheaper. So even as it is now with 4g, we're seeing a lot of the unlimited plans coming available and so on. I think we're just going to see more of that. And then the question, actually a big question for five G is what will you pay for? >>You know, if we talk about age compute and low latency, if you're a gamer and I can give you X milliseconds of latency versus you know, a two X milliseconds, how much would you pay for that? So I think what we know at the moment is people will pay for that. We don't know exactly how much, and that's where you need the ecosystem and you need to get stuff out there. And actually some of the economic impact is fuzzy. But in thinking past, there's no prologue. But if you think about the other GS as they sort of were adopted, what can we learn from those? And how do you think five G will be different in terms of its adoption and economic impact? Let's say if you look at adoption, I mean just a number of contracts. We have the number of deployments we have globally, just off the charts in terms of where we are with 4g Korea launched and a few months ago, just just before the summer, within two months they had a million 5g subscribers with smart phones in their eyes and two months later they added a second million subscribers. >>I mean for a market to go from zero to that in, in that period of time with smartphones, if we go back to 4g, all of that was with dongles and sort of hotspots on routers, you know, so to jump directly to smartphones, huge adoption, it's going to happen fast. Well what do you, what are the sequence, what's the sequence of events that have to occur for adoption to really take off? >> So obviously you need to build out the networks and the operators are doing that are pretty high speed. You need to have the devices ready and all the devices. Now it's not like you have a 5g only device. It's obviously capable of all the four G things. And then it's better when you have 5g. So the devices are going to come and take and fast. So all your new devices, most of the high end devices have 5g capability already in there. >>Um, and then the networks just getting built out more and more. And then of course the application developers actually understanding how can I take advantage of those new capabilities? And then you'll start to see, okay, wow, you know, I didn't, this wasn't possible before. It's not just a faster download. It's really, there's just new experiences happening >> from a development standpoint. How much access do they have to the technology? Do they have to wait until this is all built out? Obviously not, but, but, but what's the status of sort of the devs? So we're, we're trying to, and we're working with a lot of the ecosystem. We have, we call it the D 15 studio in our Santa Clara office. We're bringing developers in there and really trying to understand, because you know, we talk Telekom as well. So we want to expose things. We want to understand, do you know what variable, if we say quality of service, what does that mean for you? You know, how do you translate that? So, and we're working with, you know, the cloud players where to developers live to some extent to bring in that ecosystem and understand how it all plays together. So >>ahead. Yup. Um, so if really, if you're looking at it longterm, obviously it's going to happen, but the experience is as I go around the States, is that you've got all these different four G three GS edges still in a very, very patchy a level of it. Is this going to be different? Is this going to actually go into different places because there's a big investment that has to be made, a lot of things very close together. Yes, yes. That seems to be a recipe for everything being or right in the cities. But as soon as you go outside the urban areas, it's going to be very patchy. How does that compare, for example, with Elon Musk's idea of a doing stuff from the sky? >>Well, everything comes down to economics. So you know, it's, it's obviously you're going to have denser deployments in the cities, then you are in the countryside and so on. One of the big advantages would 5g is am, and not to get too deep into the technical part, but you can use all the spectrum that's available. And spectrum is super important as we get, you know, when we have lower frequency spectrum, you can cover a hundred miles Wade, one base station as you get to the millimeter wave, which is you get super high bandwidth, then you're add hundreds of meters. Yeah. And so obviously one is more suitable for a rural environment, the other is more suitable for. So for an urban environment, so obviously having those working together in one technology allows you to deploy everything and get the benefits in a much broader area than we had for any of the previous. >>There's choice there in terms of how you deploy or, or leverage the spectrum. So you're saying that the higher performance end of the spectrum, it's gonna require a greater density of other components. And absolutely. When people talk about oil, there's going to be a lot more distributed, you know, pieces of the five G network that has to get built out. So who does that? Who's putting those pieces of the value chain in? So different players, obviously the mobile network operators, the 18 Ts and Verizons of the world are doing a lot of the heavy lifting and know what our support to actually put the, the radios and the towers in place. And then there's an edge compute piece as well, which is different players are putting in that. Um, so, so a lot of that infrastructure has been done. I think one thing that we've been pushing quite a lot, all our install base of radios is um, 5g upgradable via software. >>So that means that a lot of the already installed, uh, radios and infrastructure, you're just softer upgrade, you know, an hour later it's now 5g ready. So I think that's a big piece of basin. Back to your question of how quickly and and can reach all those areas, are there any specific commercial blockers that you see, um, that you're thinking through? I am I, I think the, just understanding some of the more challenging when you look at, if you're deploying edge compute and you have to invest billions and really getting that far out to the edge, I think there's some questions still there. Like I said, how much would you pay for 20 milliseconds versus 15 milliseconds. And that might sound like a lot, but that's a lot of extra infrastructure you would need to put out. So I think that's still being worked true. >>And obviously some of that will happen quicker in a downtown San Francisco than it will in a, you know, middle of Nevada plays well and the others that you've mentioned before, it's unclear what new applications are going to emerge here. And so it's almost like build it and they will come and then we'll figure it out and then we'll figure out how to charge for it. Like you say the gamers, how much will they pay for it? Yeah, so those are some of the uncertainties but they'll shake themselves out. So absolutely. I was a pretty smart about doing. What about micron and the role of memory players and storage players? How will this affect them? Eight say a huge opportunity when you ah, yeah, I mean invest no and Bardy hats. >> Yeah, I think it's a, when you look at the number of devices and, okay, what's the device? >>The devices are smartphone. Well the devices now your car, it's every IOT device and down to your toaster and all the crazy stuff people are talking about too. I mean to every industrial application tool that age, computers. So you're distributing now a lot of different compute memory storage across different parts of the network. So I mean they talked earlier in the panel about phones having terabytes of data. You know, it's in, it's just unimaginable. The amount of data storage. Remember you're going to need in a vehicle, you know, they're looking at terabytes per hour of data and then how much of that should they shift off the vehicle? How much did it keep there? So huge opportunity. >> Well, I'd be willing to pay for, um, some memory in my appliances. They tell me when they're going to break. I just got a new dishwasher and I can program it with my, my remote. I don't want to program. I just want to know that on Thanksgiving morning it was that it works. But in a week before it's going to break, I want to know so I can deal with vending and maintenance. That's a big use case. Can't wait until that happens. The last question, so >>I was going to be, I was following up on that last point you were making. Um, uh, so again, this cost of everything, this, this value that you're going to get out of it. Um, it seems to me that, um, that this is gonna take a long time to push out. Um, and, and before it actually down. And people will actually know whether they can pay for this. And then one thing in particular is there's a lot of resistance in, in the, in the States anyway, to all of these devices being put very, very close, you know, to the, to, to it for example, putting all the devices down, download a row for example, that, that, that seems to be very expensive and, and going to get a lot of reaction from consumers is, is that not the case? >>So I actually, we're not seeing it that much. I mean if you look across the globe, um, China obviously is a slightly unique situation. Massive deployments already happening there. Like I said, Southeast Asia, South Korea being among the, you know, the forefront, big deployments already there. And we're seeing big pull from industries already and the operators here in U S are announcing new cities, you know, every month practically. So they are really full on into this. And to some extent it's, it's really just, there's a capacity need to have the spectrum. They need to make the investments and they're, they're doing it as we speak. >>So I think it depends on me. Why was it a meeting the other day in Boston with a lot of city officials and folks that worked for the mayor's office? They're envisioning Boston, you know, for the next 50 years, smart cities and five G was like, if you did a word cloud 5g was that the number one topic? You know, we talked earlier about sports stadiums. You can see that being, you know, use cases going to be these >>hotspots where it's of very, very high >>of the city in this case in Boston's case are they're going to invest, right? And they're gonna think that's going to be a differentiator for cities. >>You have this amazing infrastructure, you know, five G infrastructure that allows you to take advantage of that, be it just from, they talked about traffic congestion and what the city can do and then what the businesses and the consumers can do in that area that that can end up being a differentiator for innovation companies going there and so on. >>Right. All right. We're going to go before they blow us out. No, thanks very much for coming to the queue very much. All right, great. To have you on. I keep it right there, buddy. We'll be back with our next guest after this short break. You're watching the cube live from micron insight 2019 from San Francisco right back.