(intro music playing) >> Hello everyone, and welcome to the power of n where HPE Aruba and Pensando are changing the game, the way customers scale with the cloud, and what's next in the evolution in switching. Hey everyone, I'm John furrier with the cube, and I'm here with Shane Corbin, director of technical product management at Pensando, and William show vice president of product management, Aruba HPE. Gentlemen, thank you for coming on and doing a deep dive and, and going into the, the big news. So the first question I want to ask you guys is um, what do you guys see from a market customer perspective that kicked this project off? um, amazing um, results um, over the past year or so? Where did it all come from? >> No, it's a great question, John. So when we were doing our homework, there were actually three very clear customer challenges. First, security threats were largely spawn with on, within the perimeter. In fact, Forrester highlighted 80% of threats originate within the internal network. Secondly, workloads are largely distributed creating a ton of east-west traffic. And then lastly, network services such as firewalls, load balancers, VPN aggregators are expensive, they're centralized, and they ultimately result in service chaining complexity. >> John: So, so, >> John: Go ahead, Shane. >> Yeah. Additionally, when we spoke to our customers after launching initially the distributed services platform, these compliance challenges clearly became apparent to us and while they saw the architecture value of adopting what the largest public cloud providers have done by putting a smart NIC in each compute node to provide these stateful services. Enterprise customers were still, were struggling with the need to upgrade fleets and brown field servers and the associated per node cost of adding a smart NIC to every compute node. Typically the traffic volumes for on a per node basis within an enterprise data center are significantly lower than cloud. Thus, we saw an opportunity here to, in conjunction with Aruba, develop a new category of switching product um, to share the processing capabilities of our unique intellectual property around our DPU across a rack of servers that net net delivers the same set of services through a new category of platform, enabling a distributed services architecture, and ultimately addressing the compliance and TCO generating huge TCO and ROI for customers. >> You know, one of the things that we've been reporting on with you guys, as well as the cloud scale, this is the volume of data and just the performance and scale. I think the timing of the, of this partnership and the product development is right on point. And you've got the edge right around the corner, more, more distributed nature of cloud operations, huge, huge change in the marketplace. So great timing on the origination story there. Great stuff. Tell me more about the platform itself, the details, what's under the hood, the hardware OS, what are the specs? >> Yeah, so we started with a very familiar premise. Rubik customers are already leveraging CX with an edge to cloud common operating model, in deploying leaf and spine networks. Plus we're excited to introduce the industry's first distributed services switch, where the first configuration has 48-25 gig ports with a hundred gig couplings running Aruba CX cloud native operating system, Pensando Asic's software inside, enabling layer four through six, seven stateful services. Shane, do you want to elaborate on. >> Yeah, let me elaborate on that a little bit further, um, you know, as we spoke existing platforms and how customers were seeking to address these challenges were, are inherently limited by the ASIC dye size, and that does limit their scale and performance and ability in traditional switching platforms to deliver truly stateful functions in, in, in a switching platform, this was, you know, architecturally from the ground up, when we developed our DPU, first and second generation, we delivered it, or we, we built it with stateful services in mind from the get-go, we leveraged the clean state design with our P four program with DPU. We evolved to our seven nanometers based pro DPU right now, which is essentially enabling software and Silicon. And this has generated a new level of performance scale, flexibility and capability in terms of services. This serves as the foundation for our 200 gig card, were we taking the largest cloud providers into production for. And the DPU itself is, is designed inherently to process stage, track stateful connections, and stateful flow is at very, very large scale without impacting performance. And in fact, the two of these DPU components server disk, services foundation of the CX 10 K, and this is how we enable stateful functions in a switching platform functions like stateful network fire-walling, stateful segmentation, enhanced programmable telemetry, which we believe will bring a whole lot of value to our customers. And this is a platform that's inherently programmable from the ground up. We can, we can build and leverage this platform to build new use cases around encryption, enabling stateful load balancing, stateful NAT to name a few, but, but the key message here is, this is, this is a platform with the next generation of architecture's in mind, is programmed, but at all, there's the stack, and that's what makes it fundamentally different than anything else. >> I want to just double click on that if you don't mind, before we get to the competitive question, because I think you brought up the state thing. I think this is worth calling out, if you guys don't mind commenting more on this states issue, because this is big. Cloud native developers right now, want speed, they're shifting left at the CICD pipeline with programmability. So going down and having the programmability, and having state is a really big deal. Can you guys just expand on that a little bit more and why it's important and, and how hard it really is to pull off? >> I, I can start, I guess, um, it's very hard to pull off because of the sheer amount of connections you need to track when you're developing something like a stateful firewall or a stateful load balancer, a key component of that is managing the connections at very, very large scale and understanding what's happening with those connections at scale, without impacting application performance. And this is fundamentally different at traditional switching platform, regardless of how it's deployed today in Asics, don't typically process and manage state like this. Um, memory resources within the chip aren't sufficient, um, the policy scale that you can um, implement on a platform aren't sufficient to address and fundamentally enable deployable firewalling, or load balancing, or other stateful services. >> That's exactly right. And so the other kind of key point here is that, if you think about the sophistication of different security threats, it does really require you to be able to look at the entire packet, and, and more so be able to look at the entire flow and be able to log that history, so that you can get much better heuristics around different anomalies, security threats that are emerging today. >> That's a great, great point. Thanks for, for, um, bringing that extra, extra point out. I would just add to this, we're reporting this all the time on Silicon angle in the cube is that, you know, the, you know, the, the automation wave that's coming with around data, you know, it's a center of data, not data centers we heard earlier on with the, in, in, in the presentation. Data drives automation, having that enabled with the state is a real big deal. So, I think that's really worth calling out. Now, I've got to ask the competition question, how is this different? I mean, this is an evolution. I would say, it's a revolution. You guys are being being humble, um, but how is this different from what customers can deploy today? >> Architecturally, if you take a look at it. We've, we've spoken about the technology and fundamentally in the platform what's unique, in the architecture, but, foundationally when customers deploy stateful services they're typically deployed leveraging traditional big box appliances for east-west our workload based agents, which seek to implement stateful security for each east-west. Architecturally what we're enabling is stateful services like firewalling, segmentation, can scale with the fabric and are delivered at the optimal point for east west which is through leaf for access layer of the network. And we do this for any type of workload. Be it deployed on a virtualized compute node, be a deployed on a containerized worker node, be deployed on bare metal, agnostic up typology, it can be in the access layer of a three tier design and a data center. It can be in the leaf layer of a VX VPN based fabric, but the goal is an all centrally managed to a single point of orchestration and control of which William will talk about shortly. The goal of this is to drive down the TCO of your data center as a whole, by allowing you to retire legacy appliances that are deployed in an east-west roll, and not utilize host based agents, and thus save a whole lot of money and we've modeled on the order of 60 to 70% in terms of savings in terms of the traditional data center pod design of a thousand compute nodes which we'll be publishing. And as, as we go forward additional services, as we mentioned, like encryption, this platform has the capability to terminate up to 800 gigs of our line rates encryption, IP sec, VPN per platform, stateful Nat load balancing, and this is all functionality we'll be adding to this existing platform because it's programmable as we've mentioned from the ground up. >> What are some of the use cases lead? And what's the top use cases, what's the low hanging fruit and where does this go? You've got service providers, enterprises. What are the types of customers you guys see implementing? >> Yeah, that's, what's really exciting about the CX 10,000. We actually see customer interest from all types of different markets, whether it be higher education, service providers to financial services, basically all enterprises verticals with private cloud or edge data centers. For example, it could be a hospital, a big box retailer, or a colon such as Iniquinate So it's really the CX 10,000 that creates a new switching category, enabling stateful services in that leaf node right at the workload, unifying network and security automation policy management. Second, the CX 10,000 greatly improves security posture and eliminates the need for hair-pinning east-west traffic all the way back to the centralized deployments. Lastly, As Shane highlighted, there's a 70% TCO savings by eliminating that appliance sprawl and ultimately collapsing the network security operations. >> I love the category creation um, vibe here. Love it. And also the technical and the cloud alignment's great. But how do the customers manage all this? Okay, I got a new category. I just put the box in, throw away some other ones? I mean, how does this all get done? And how does the customers manage all this? >> Yeah, so we're, we're looking to build on top of the river fabric composer. It's another familiar site for our customers, and what's already provides for compute storage and network automation, with a broad ecosystem integrations, such as VMware vSphere Vcenter as with Nutanix prism and so aligned with the CX 10,000 FGA, now you have a fabric composer, unified security and policy orchestration, and management with the ability to find firewall policies efficiently and provide that telemetry to collect your such a Splunk. >> John: So the customer environments right now involve a lot of multi-vendor and new frameworks, obviously, cloud native. How does this fit into the customer's existing environment with the ecosystem? How do they get, get going here? >> Yeah, great question. Um, Our customers can get going as we, we've built a flexible platform that can be deployed in either Greenfield or brownfield. Obviously it's a best of breed architecture for distributed services we're building in conjunction with Aruba. But if customers want to gradually integrate this into their existing environments and they're using other vendors, spines or cores, this can be inserted seamlessly as, as a lead for an access, access tier switch to deliver the exact same set of services within that architecture. So it plugs seamlessly in because it supports all the standard control plan protocols, a VX 90 VPN, and a traditional attitude, three tier designs easily. Now, for any enterprise solution deployment, it's critical that you build a holistic ecosystem around it. It's clear that, this will get customer deployments and the ecosystem being diverse and rich is very, very important. And as part of our integrations with the controller, we're building a broad suite of integrations across threat detection, application dependency mapping, Siemens sooam, dev ops infrastructure as code tools. (inaudible) And it's clear if you look at these categories of integrations, you know, XDR or threat detection requires full telemetric from within the data center, it's been hard to accomplish to date because you typically need agents on, on your compute nodes to give you the visibility into what's going on or firewalls for east west fuels. Now, our platform can natively provide full visibility into all flows east- west in the data center. And this can become the source of telemetry truth that these MLX CR engines require to work. The other aspects of ecosystem around application dependency mapping, this single core challenge with deploying segmentation east west is understanding the rules to put in & Right, first is how do you insert the service, um, service device in such a way that it won't add more complexity? We don't add any complexity because we're in line natively. How you would understand it, would allow you to build the rules that are necessary to do segmentation. We integrate with tools like Guardi core, we provide our flogs as source of data, and they can provide room recommendations and policy recommendations for customers. Around, we're building integrations around Siemen soam with, with tools like Splunk and elastic, elastic search that will allow NetOps and SecOps teams to visualize trend and manage the services delivered by the CX 10 K. And the other aspect of ecosystem, from a security standpoint is clearly how do I get policy for these traditional appliances and enforce them on this next generation architecture that you've built, that can enable stateful services. So we're building integrations with tools like turf and an algo sec third-party sources of policy that we can ingest and enforce on the infrastructure, allowing you to gradually, um, migrate to this new architecture over time. >> John: It's really a cloud native switch. I mean, you solve people's problems, pin- points, but yet positioned for growth. I mean, it sounds that's my takeaway, but I got to ask you guys both, what's the takeaway for the customers because it's not that simple for them, I mean it's, we a have complicated environment. (all giggling) >> Yeah, I think it's, I think it's really simple, um, you know, every 10 years or so, we see major evolutions in the data center and the switching environment, but we do believe we've created a new category with the distributed services, distributed services switch, delivering cloud scale distributed services, where the local, where the workloads reside greatly, simplifying network, security provisioning, and operations with the urban fabric composer while improving security posture and the TCO. But that's not all the folks, it's a journey, right Shane? >> Yeah, it's absolutely a journey. And this is the first step in a long journey with a great partner like Aruba. There's other platforms, hundred or 400 gig hardware platforms where we're looking at and then this additional services that we can enable over time, allowing customers to drive even more TCO value out of the platform of the architecture services like encryption for securing the cloud on-ramp, services like stateful load balancing to deploy east-west in the data center and, you know, holistically that's, that's the goal, deliver value for customers. And we believe we have an architecture and a platform, and this is a first step in a long journey. >> It's a great way of, I just ask one final, final question for both of you as product leaders, you got to be excited having a category creation product here in this market, this big wave, but what's your thoughts? >> Yeah, exactly right, it doesn't happen that often, and so we're, we're all in it's, it's exciting to be able to work with a great team like Pensando and Shane here. Um, so we're really, really excited about this launch. >> Yeah, it's awesome. The team is great. It's a great partnership between Pensando and Aruba. You know, we, we look forward to delivering value for our joint customers. >> John: Thank you both for sharing under the hood and more details on the product. Thanks for coming on. >> [William And Shane] Thank you. >> Okay. The next evolution in switching, I'm John Furrier here with the power of nHPE Aruba and Pensando changing the game, the way customers scale up in the cloud and networking. Thanks for watching. (music playing)

>>Hello and welcome to the power of and where H P E Aruba and Pensando are changing the game the way customers scale at the cloud and what's next in the evolution in switching everyone. I'm john ferrier with the Cuban. I'm here with Shane Corbyn, Director of Technical Product management. Pensando Williams show vice president Product management, Aruba HP Gentlemen, thank you for coming on and doing a deep dive and and going into the big news. So the first question I want to ask you guys is um, what do you guys see from a market customer perspective that kicked this project off? Amazing results over the past year or so. Where did it all come from? >>It's a great question, John So when we were doing our homework, there were actually three very clear customer challenges. First, security threats were largely spawned with from within the perimeter. In fact, four star highlights that 80% of threats originate within the internal network. Secondly, workloads are largely distributed, creating a ton of east west traffic and then lastly, network services such as firewalls load balancers. VPN aggregators are expensive. They're centralized and then ultimately result in service changing complexity. So everyone, >>so go ahead. Change. >>Yeah. Additionally, when we spoke to our customers after launching initially the distributed services platform, these compliance challenges clearly became apparent to us and while they saw the architectural value of adopting what the largest public cloud providers have done by putting a smart making each compute note to provide these state full services. Enterprise customers were still were struggling with the need to upgrade fleets and Brownfield servers and the associated per node cost of adding a spark nick to every compute node. Typically the traffic volumes for on a personal basis within an enterprise data center are significantly lower than cloud. Thus we saw an opportunity here to in conjunction with Aruba developed a new category of switching product um, to share the crossing capabilities of our unique intellectual property around our DPU across a rack of servers that Net Net delivers the same set of services through a new category of platform, enabling a distributed services architecture and ultimately addressing the compliance and uh, TCO generating huge TCO and ri for customers. >>You know, one of the things that we've been reporting on with you guys as well as the cloud scale, this is the volume of data and just the performance and scale I think the timing of the, of this partnership and the product development is right on point. You got the edge right around the corner more, more distributed nature of cloud operations, huge, huge change in the marketplace. So great timing on the origination story there. Great stuff. Tell me more about the platform itself. The details what's under the hood, the hardware. Os, what are the specs? >>Yeah, so we started with a very familiar premise, Ruba customers are already leveraging C X with an edge to cloud, common operating model and deploying Leaf and spy networks. Plus we're excited to introduce the industry's first distributed services switch where the first configuration has 48 25 gig ports with 100 gig uplinks running Aruba C X cloud native operating system. Pensando A six and software inside enabling layer four through seven staple services you want to elaborate on. >>Let me elaborate on that a little further. Um, you know, as we spoke, existing platforms and how customers were seeking to address these challenges were inherently limited by the diocese and that thus limited their scale and performance and ability in traditional switching platforms to deliver truly stable functions in in a switching platform. This was, you know, architecturally from the ground up. When we developed our DPU 1st and 2nd generation, we delivered it or we we we built it with staples services in in mind from the Gecko. We we leverage to clean state designed with RP four program with GPU, we evolved to our seven nanometer based DPU right now, which is essentially enabling software and silicon and this has generated a new level of performance scale flexibility and capability in terms of services this serves as the foundation for or 200 gig card where we're taking the largest cloud providers into production for. And the DPU itself is designed inherently to process state track state connections and state will flow is a very, very large scale without impacting performance. And in fact, the two of these deep you component service, their services foundation of the C X 10-K And this is how we enable states of functions in a switching platform. Functions like stable network network fire walling, stable segmentation, enhance programmable telemetry. Which we believe will bring a whole lot of value to our customers. And this is a, a platform that's inherently programmable from the ground up. We can we can build and and leverages platform to build new use cases around encryption, enabling state for load balancing, stable nash to name a few. But the key message here is this is this is a platform with the next generation of architecture is in mind is programmed but at all levels of the stack and that's what makes it fundamentally different than anything else. >>I want to just double click on that if you don't mind before we get to the competitive question because I think you brought up the state thing, I think this is worth calling out if you guys don't mind commenting more on this state issue because this is big cloud. Native developers right now want speed, they're shifting left at the Ci cd pipeline with program ability. So going down and having the program ability and having state is a really big deal. Can you guys just expand on that a little bit more and why it's important and how hard it really is to pull off. >>I I can start I guess. Well um it's very hard to pull off because of the sheer amount of connections you need to track when you're developing something like a state, full firewall or state from load balancer. A key component of that is managing the connections at very, very large scale and understanding what's happening with those connections at scale without impacting application performance. And this is fundamentally different. A traditional switching platform regardless of how it's deployed today in a six don't typically process and manage state like this. Memory resources within the shape aren't sufficient. Um the policy scale that you can implement on a platform aren't sufficient to address and fundamentally enable deployable fire walling or load balancing or other state services. >>That's exactly right. So the other kind of key point here is that if you think about the sophistication of different security threats, it does really require you to be able to look at the entire packet and more so be able to look at the entire flow and be able to log that history so that you can get much better heuristics around different anomalies. Security threats that are emerging today. >>That's a great great point. Thanks for bringing that extra extra point out, I would just add to this, we're reporting this all the time when silicon angle in the cube is that you know, the you know, the the automation wave that's coming with around data, you know, it's the center of data now, not date as soon as we heard earlier on with the presentation data drives automation having that enabled with state is a real big deal. So I think that's really worth calling out now. I got to ask the competition question, how is this different? I mean this is an evolution, I would say it's a revolution you guys are being humble um but how is this different from what customers can deploy today >>architecturally, if you take a look at it? So we've, we've spoken about the technology and fundamentally in the platform, what's unique in the architecture but foundational e when customers deploy stable services, they're typically deployed leveraging traditional big box appliances for east west or workload based agents which seek to implement stable security for each East west architectural, what we're enabling is staples services like fire walling, segmentation can scale with the fabric and are delivered at the optimal point for east west which is through the Leaf for access their of the network and we do this for any type of workload. Being deployed on a virtualized compute node being deployed on a containerized, our worker node being deployed on bare metal agnostic of topology. It can be in the access layer of a three tier design and a data center. It can be in the leaf layer of the excellent VPN based fabric. But the goal is an all centrally managed to a single point of orchestration control which William we'll talk about shortly. The goal of this is to to drive down the TCO of your data center as a whole by allowing you to retire legacy appliances that are deployed in in east west role, not utilized host based agents and thus save a whole lot of money. And we've modeled on the order of 60 to 70% in terms of savings in terms of the traditional data center pod design of 1000 compute nodes which will be publishing and as as we go forward, additional services as we mentioned like encryption, this platform has the capability to terminate up to 800 gigs of line, right encryption, I P sec VPN per platform state will not load balancing and this is all functionality will be adding to this existing platform because it's programmable as we mentioned from the ground up. >>What are some of the use cases lead and one of the top use case. What's the low hanging fruit? And where does this go? Service providers enterprise, what are the types of customers you guys see implementing? >>Yeah, that's what's really exciting about the C X 10,000 we actually see customer interest from all types of different markets, whether it be higher education service providers to financial services, basically all enterprises verticals with private cloud or edge data centers for example, could be a hospital, a big box retailer or Coehlo. Such as an equity. It's so it's really the 6 10,000 that creates a new switching category enabling staple services in that leaf node, right at the workload, unifying network and security automation policy management. Second, the C X 10,000 greatly improved security posture and eliminates the need for hair pinning east west traffic all the way back to the centralized plants. Lastly, a Shane highlighted there's a 70% Tco savings by eliminating that appliance brawl and ultimately collapsing the network security operations. >>I love the category creation vibe here. Love it. And obviously the technical and the cloud line is great. But how do the customers manage all this? Okay. You got a new category. I just put the box in, throw away some other one. I mean how does this all get down? How does the customers manage all this? >>Yeah. So we're looking to build on top of the ribbon fabric composer. It's another familiar sight for our customers which already provides for compute storage and network automation with a broad ecosystem integrations such as being where the sphere be center as with Nutanix prison And so aligned with the c. x. 10,000 at G. A. now the aruba fabric composer unifies security and policy orchestration and management with the ability to find firewall policies efficiently and provide that telemetry to collectors such a slump. >>So the customer environments right now involve a lot of multi vendor and new frameworks cloud native. How does this fit into the customer's existing environment? The ecosystem. How do they get that get going here? >>Yeah, great question. Um our customers can get going is we we built a flexible platform that can be deployed in either Greenfield or brownfield. Obviously it's a best of breed architecture for distributed services were building in conjunction with the ruble but if customers want to gradually integrate this into their existing environments and they're using other vendors, spines or course this can be inserted seamlessly as a leaf or an access access to your switch to deliver the exact same set of services within that architecture. So it plugs seamlessly in because it supports all the standard control playing protocols, VX, Lenny, VPN and traditional attitude three tier designs easily. Now for any enterprise solution deployment, it's critical that you build a holistic ecosystem around it. It's clear that this will get customer deployments and the ecosystem being diverse and rich is very, very important and as part of our integrations with the controller, we're building a broad suite of integrations across threat detection application dependency mapping, Semen sore develops infrastructure as code tools like ants, Poland to answer the entire form. Um, it's clear if you look at these categories of integrations, you know XDR or threat detection requires full telemetry from within the data center. It's been hard to accomplish to date because you typically need agents on, on your compute nodes to give you the visibility into what's going on or firewalls for east west flaws. Now our platform can natively provide full visibility in dolphins, East west in the data center and this can become the source of telemetry truth that these Ml XT or engines required to work. The other aspects of ecosystem are around application dependency mapping the single core challenge with deploying segmentation. East West is understanding the rules to put in place right first, is how do you insert the service uh service device in such a way that it won't add more complexity. We don't add any complexity because we're in line natively. How do we understand that allow you to build the rules are necessary to do segmentation. We integrate with tools like guard corps, we provide our flow logs a source of data and they can provide rural recommendations and policy recommendations for customers around. We're building integrations around steve and soar with tools like Splunk and elastic elastic search that will allow net hops and sec ops teams to visualize, train and manage the services delivered by the C X 10-K. And the other aspect of ecosystem from a security standpoint is clearly how do I get policy from these traditional appliances and enforce them on this next generation architecture that you've built that can enable state health services. So we're building integrations with tools like toughen analgesic third party sources of policy that we can ingest and enforcing the infrastructure allowing you to gradually migrate to this new architecture over time >>it's really a cloud native switch, you solve people's problems pain points but yet positioned for growth. I mean it sounds that's my takeaway. But I gotta ask you guys both what's the takeaway for the customers because it's not that simple for that. We have a complicated >>Environment. I think, I think it's really simple every 10 years or so. We see major evolutions in the data center in the switching environment. We do believe we've created a new category with the distributed services, distributed services, switch, delivering cloud scale distribute services where the local where the workloads were side greatly simplifying network security provisions and operations with the Yoruba fabric composer while improving security posture and the TCO. But that's not all folks. It's a journey. Right. >>Yeah, it's absolutely a journey. And this is the first step in in a long journey with a great partner like Aruba, there's other platforms, 100 or four gig hardware platforms we're looking at and then there's additional services that we can enable over time allowing customers to drive even more Tco value out of the platform and the architectural services like encryption for securing the cloud on ramp services like state for load balancing to deploy east west in the data center and you know, holistically that's that's the goal, deliver value for customers and we believe we have an architecture and a platform and this is the first step in a long journey. It's >>a great way. I just ask one final final question for both of you. As product leaders, you've got to be excited having a category creation product here in this market, this big wave. What's what's your thoughts? >>Yeah, exactly. Right. It doesn't happen that often. And so we're all in, it's it's exciting to be able to work with a great team like Sandu and chain here. And so we're really excited about this launch. >>Yeah, it's awesome. The team is great. It's a great partnership between and santo and Aruba and you know, we we look forward to delivering value for john customers. >>Thank you both for sharing under the hood and more details on the product. Thanks for coming on. >>Thank you. Okay, >>the next evolution of switching, I'm john furrier here with the power of An HP, Aruba and Pensando, changing the game the way customers scale up in the cloud and networking. Thanks for watching. Mhm.

>>Live from Washington, D C it's the cube covering Boomi world 19 how to buy bullying. >>Hey, welcome back to the cube. Lisa Martin with John furrier covering day one of Dell Boomi world 2019 we're in D C this year. We're not in Vegas. Pretty cool. Big news with fed ramp and Boomi. John and I are very pleased to walk them slalom gas, a couple of them saw them as both a partner and a customer. Please welcome Michelle ye practice area lead and founder slalom innovation for good. Michelle, great to have you. Thank you so much. Excited to be here and we have Shane Fisher solution principle, business applications and integration. Shane, welcome. >>Thank you. Thank you. Appreciate being here. >>So the Boomi World yesterday I know kicked off for partners with partner summit today kicking off for customers and everybody else with a lot of energy, a lot of excitement. But one of the things that Boomi talks Slalom about that solemn is involved in both is their 9,000 plus customers, which obviously you guys have a big hand in and 580 partners of which you guys are winning a number of partner awards over the last few years. She didn't. We're going to start with you and then we're going to get to the innovation for good. Michelle with you, tell us about some, you guys have some really outstanding use cases of where you're helping organizations implement Boomi. Tell us about Illumina, about the business overall and then we'll go into some of those use cases. >>Absolutely. So we are part of a group within slalom that really kind of focuses on, uh, business process, automation integration and things like that. And so we've had just the unique privilege of being able to help a number of life sciences customers in particular. Um, couple of that I'm super excited about are SightLife and Juno therapeutics. Um, you know, both, obviously with great missions, um, you know, Juno therapeutics, they're there, their mission and objective is to cure all, all kinds of lymphomas. Um, and you know, obviously that, that's a great mission, you know, that that just really makes you excited to go to work every day, you know, to, to be able to support that. >>So talk to us about, so I believe it's an immunotherapy company. Yes. Talk to us about what was their it environment like, as you know, on the one on there, they're processing all this data, patient data, wanting to probably get patients into clinical trials to evaluate new potential therapeutics, talk to us about their it environment. I imagine disparate systems, things not connected, give us that before picture and why slalom went in with Boomi. >>Absolutely. Um, so as you can imagine with any sort of startup, you know, even in like the life sciences space, um, you know, you start fairly immature. Um, you know, you don't have a lot of systems. There's a lot of manual processes. Um, you know, a lot of paperwork based processes. Um, you know, tracking patients, you know, manually or using bespoke, uh, you know, like to SQL databases, things like that. Right. Um, it's, it's kind of, you know, it's that necessary sort of bootstrapping that, that a lot of, you know, very early companies do. But then you get, you know, you reach a certain level where it's like, okay, we've got to grow up a little bit. And so what kind of, what started our journey, which, you know, is that they selected Salesforce as kind of that, that center to sort of collect patient data and be sort of that, um, you know, the first touch point, you know, when we first kind of, uh, you know, interact with the patient, um, and are able to kind of track them through their life cycle and give them the best service possible. Um, and obviously once you have Salesforce embedded into your, your infrastructure, now I need to integrate that. Right. And so that was kind of where slalom, uh, became involved, um, and went through a product selection. Um, Boomi came out, the clear winner, um, you know, not surprisingly. Um, and yeah, and we, we stood that up for them, you know, and, and started sort of connecting, you know, Salesforce to some of their other, you know, systems and automated. >>What were some of the reasons why Boomi was the winner? Was there certain categories you had focused on? Was it something specific around what they had? What was the use case that made them stand out? >>So I think speed of delivery and just ease of use are kind of the, the two main things that really stood out. Um, you know, particularly in this, in the Salesforce realm. I mean, Boomi just integrates so naturally and so easily with Salesforce. I mean it's, it's as easy as it could be, right? And so that was just a natural use case. Um, and then just, it's the speed of delivery, you know, being able to attack, crank through these integrations. Um, we heard a gentleman during the keynote talk about man integrations used to take like four months to deliver. And you think about it now, it's like, that is silly, but it's true. That's, that's, that's the world we came from. And so to have a platform that just makes it so much easier, so much snappier, particularly in a, in a, in a space where it's so important, like what the end goal is. So you get that patient care and you know, and get them the best medicine and stuff like that. >>Yeah. Well, and it's such a story that everybody on earth has been touched by. So Michelle, talk to us about Juno therapeutics as a great example of what you're doing with, with, um, the program tech for good innovation for good, but also give us a little bit of your interesting backstory on you had a personal connection to this. Tell us about that. Yeah, absolutely. So I'm, the solemn innovation for good team is only about three months old. So it's a pretty new capability. And what it really stems from is we're an extremely purpose-driven company. I think that's also one reason why we partner so well with Boomi, um, is because we share a lot of that passion together and we're trying to make the world a better place. Um, so, you know, one thing that we try to do is say, Hey, major not for profit. >>Whoever you are, we understand that you have the same challenges all of our other commercial clients do. So do you know, as a great example of I have information everywhere, how do I get this under control and get value out of that? And that's why this partnership makes so much sense. Um, and so we bring to the not-for-profits our expertise in technology, but then also our connections and partners like Boomi to the table to say, all right, what could we be doing to accelerate this person's mission or this organization's mission and do that, you know, using our strengths. Um, and so another client of ours for example, is American cancer society and very well tied to, um, do you know, therapeutics because actually immunotherapy is a huge opportunity, um, for newer treatments that are less invasive and damaging than chemotherapy. Um, and so my own personal story is of course, uh, I have a history of breast cancer in my own family. Um, and again, like you said, we've all been impacted by cancer. So helping clients like this through our technology is exactly what we should be doing. >>You know, one of the things that's interesting is there's a Renaissance of tech for good startups and yeah, we started reporting on this couple of years ago when we were in DC with Amazon. We saw that with cloud computing and the life cycle changes of delivery and integration that you can get off the ground with very little capital and you could also ran, you don't have to spend all your grant money. So there's a real Renaissance in entrepreneurial thinking in this area, which is now kind of spawning social investing, social impact. But actually businesses are getting to profitability. So what's, this kind of speaks to the Boomi ethos. I want to get your opinion on this. You guys are close to all this. Is that true? Do you believe that? What do you see? What's your thoughts on this wave of tech for good? I won't say philanthropy because people are building real apps and there's real value being created. Your thoughts. >>Yeah. So I can kick us off. Um, yeah. I think exactly as Shane was saying, our abilities. So if we can reduce time for integration, let's say to two months, three months, I don't know, for something simple as a POC, then, um, the speed at which we're changing the landscape is incredible. Um, and as an example, so we did some work with breast cancer images and using AI machine learning in the cloud, um, and we were actually able to reduce the time it takes to do that analysis from three years into a couple of hours in the span of three months. Wow. So when I think about like, okay, like it's not like this massive, okay, first we're going to do this three year integration plan, then when we're done with a three year integration plan, Oh, on the way now we can unlock AI and machine learning. It makes so much sense. Right? Exactly. Oh yeah. You know, all the money that the not for profits have. Right. So, um, you know, I, when I look at them like it makes complete sense that we should be capitalizing on this and transform that whole industry. >>Shane Renaissance, your thoughts and you what did you, what's your opinion? >>Yeah, absolutely. So I was just talking to a gentleman last night from a retail company who again, you know, a very similar story has launched his own private foundation and is using technology to do it, um, and an impact. Absolutely. Um, and there's so, there's so many companies out there that are doing this, um, you know, it's where they call it a responsible capitalism, you know, something like that. Um, and, and yeah, I think the technology is sort of enabling, uh, you know, more of that sort of behavior. If you think of it from a, you know, a classic pace layering standpoint, right? It's the um, you know, where do you want to spend your investment dollars? You want to spend that on infrastructure or do you want to spend that on the things that matter? And I think, you know, making the infrastructure and making these applications so much easier to work with is just unlocking all the rest of the, you know, the potential for, for, you know, just having a unimpactful >>the impact impact is a commercial impact for profit. People do that. That's what businesses do. Yeah. The workloads are workloads. The impact is impact depending upon what you're trying to do. This is the innovation that we're seeing. >>Yeah, absolutely. I'm one of the things too that Chris McNabb talked about this morning that's even more critical when we're talking about immunotherapy, American cancer society and organizations like that is shortening that time to value. John and I were talking about that in our open and when you're, we're talking about literally life and death situations and the element within an organization, the technology stuff where you can save even a couple of clicks for a workflow. There's this snowball effect there because as anybody knows, your family knows we've all been touched by cancer. There isn't time. You're racing against a clock. So that time to value in an example like this really speaks volumes about those outcomes that John was talking about. And I, I mean, I'd love to get your thoughts, Shane on, I feel like as the tools are evolving and becoming even easier and easier to use and we can democratize those insights faster and enable more and more types of people to leverage these technologies. So I don't know if you're seeing the same. Yeah, >>no, absolutely. And that, that sort of, that time to value is kind of, I was thinking about the SightLife use case as you were kind of talking about that, right. And this is literally where, you know, SightLife's mission is about matching, um, I donors to people that need them, right? Um, and you know, tragically, you know, people that lose their lives, but being able to harvest that, you know, those valuable, you know, eyes so that somebody can see every second counts in that, in that overall life cycle. And so if you can reduce that, which is what SightLife did, reduce that life cycle from like a 24 hour cycle down to hours. Um, you know, it's, it's impactful. I mean that's just has huge impact. >>And you're also helping, they have, SightLife has a goal. I was looking at my notes here of ending corneal blindness by 2040. So sh any element that they can possibly shorten in that entire is essential for them to achieve that goal. And I also was reading that the success rate of corneal transplants is very high. Yet the majority of those folks that need it are in areas that are low income, not as accessible. How can Slalom help site SightLife be able to achieve that goal of ending corneal blindness in that time? Like how is Boomi going to be a facilitator of that shortened time to value? >>Yeah, I mean I, from my standpoint, Michelle feel free to, to jump in as well, but um, it's a, it's about kind of exactly what you said, right? It's like finding those opportunities to reduce time. Um, and the other thing particularly in life sciences, right, is, you know, quality is a big, big deal. Um, and making sure you're matching, you know, the right patient to the, you know, blood types matching blood to blood. In the, in the Juno use case we call that the vein to vein process where they actually take the patient's blood ship into a manufacturing site, use their own blood and their, their, you know, their own immune system basically to manufacture a drug and then re-inject that into the patient. Imagine if you messed that up somehow. Um, you know, it's kind of a big deal. So >>we help give them that, that view. Cause we talk about John and I at every cube event that the cube covers, which is a lot data is always one of the number one topics of conversation. And we think, well it's the new blood, it's the new oil. It is. If an organization actually has access and visibility to it. And if the applications like Salesforce, ERP, blood bank applications for example, have the ability to leverage a single source of that data that's governed, that they can trust. How does Boomi facilitate that vein to vein process? For example, I'm just wondering, is there, from a master data hub perspective, is that one of the elements in our that's able to help those on the other end, be sure that the data that they're matching is indeed correct? >>Yeah. Yeah. No, that's a great question. Um, so right now, um, we haven't explored MDH yet at Juno. Um, but I think that's one of those things that may be coming at some point in the future. Um, we call it a chain of identity, right? Is ensuring that the blood that you took from the patient is the same blood that comes back essentially like tracking that through the entire life cycle. Um, and right now, you know, we're using the Boomi platform using Boomi integration to accomplish that. Um, you know, we logged sort of, you know, patient identifying information all the way through the chain, but we also redacted when we log because obviously there's GDPR, there's all these other, you know, regulations around that. Um, so there's a, again, in life sciences is a very interesting balance. You have to walk, you know there's regulations you have to follow and things like >>I'd love to get one last question for the people watching that aren't maybe changing careers or doing something entrepreneurial in social impact, your advice to them because people can see value, they see how path and get their funding requirements are lower. A lot more people saying, Hey, I'm not just doing good. I'm actually can make as a living a lifestyle choice or whatever reason, business reason. What's your guys' advice to folks thinking about making the change? Best practices, lessons learned, scar tissue, anything that you'd share for months or years to four months from four hours hardcore. How do you get this up and running quick? What's the best practice element? Michelle started on this one? >>No, I, I do have some advice. You know, I don't think it's necessarily an easy path to do this. However, I think it's much more feasible now to do it, especially with the speed of technology. And what I would say is, you know, it doesn't have to be a black and white, you know, situation where it's, I either do social good or a drive revenue. And I think at slalom anyway, and with many of these other companies, we have found operating models that support both. And I think if you maintain your passion but also your business mind and the technology sense and combine those, I, I think that's the way to go. >>Shane technical thoughts standing up stuff's cloud Boomi. Yeah. >>I mean it, it's, it's, it's a very wide and deep world out there. Um, but the thing that's so awesome, um, you know, I, I, I tell, um, you know, my directs this all the time, um, the opportunity to teach yourself things is like, at no other time, you know, in our world, uh, it, all the information is there. Um, yeah. Starting with Boomi itself, I mean, buoy verse, you know, you can go teach yourself whatever you need to know. Um, so I, I'd say, you know, follow your passions and, and you know, be a, be a fearless learner because the opportunities are there. Great insight. >>I like that. Be a fearless learner. Well, Shane, Michelle, thank you so much for sharing what you guys are doing at slalom and we look forward to hearing continued successes. Thank you so much. I appreciate your time. Thank you for Shane and Michelle and John furrier. I'm Lisa Martin. You're watching the cube from Boomi world 2019 thanks for watching.

>>Yeah. >>Okay. Now we're going to look deeper into the intersection of technology and money and actually a force for good mobile. And the infrastructure around it has made sending money as easy as sending a text. But the capabilities that enable this to happen are quite amazing, especially because as users, we don't see the underlying complexity of the transactions. We just enjoy the benefits. And there's many parts of the world that historically have not been able to enjoy the benefits. And the ecosystems that are developing around these new platforms are truly transformative. And with me to explain, the business impacts of these innovations is all a person who is the head of mobile financial services at Ericsson Ola. Welcome to the program. Thanks for coming on. >>Thank you. Dave, Thank you for having me here in the program and really excited to tell me. Tell us about the product that we have within Ericsson. >>Okay, well, let's get right into it. I mean, your firm has developed the Ericsson wallet platform. What is that? Yes, >>so? So the wallet platform is one of the product, but, I mean, you can say offer here by Ericsson and the platform is built on enabled financial services not for only the bank segment, but also for the unbanked. And we have, you know, the function that we are providing as such Here is, uh, both transfer the service provided payment. You have the cash in the cash out. You have a lot of other feature that we kind of a neighbor through the ecosystem as such. And, uh, I would really like you say, to emphasize on on the use, and they really I'll say, uh, connectivity that we have in this platform here because, uh, looking at you can say the pandemic as such here. Now, we really have made you can say tremendous Shane here through all the functions etcetera feature that we have here. >>Yeah, so, I mean, I'm surrounded by banks in Massachusetts, right? No problem. I'm Boston, right? So But there's a lot of places in the world that that aren't I take for granted some of the capabilities that are there, but so part of this is to enable people who don't have access to those types of services. So maybe you could talk about that and talk about some of the things that you're enabling with the platform, >>right? So So you just think of their You can say unbanked people here, But we have across the emerging market. I think we have one point, you know, seven billion unbanked people here, but we actually can, through wallet platform enabled through getting a bank account, etcetera, and so on here and what we're actually providing you can say in this, uh, this feature is here is that you can pay your electricity bill, for example, Here, you can pay your your bill and you you can go through merchants. You can do the cashed out. You can do multiple thing here, just like I mean to to enable the the question that financial inclusion as well. So I mean I mean from from my point of view, where we're sitting, as I said, we also sitting in Sweden, we have bank account. We have something called swish where we send you can say money back, back and forward between the family, etcetera. So, on this type of transaction, we can and have enabled for all you can say, the user that I come across the the platform here and the kind of growth that we have within this usage here and and we're seeing also. I mean, we leverage here to get with a speed today on a fantastic scale that we actually have here with our our both you can say feature performers going, I will say, Really in in in in a in the direction that we couldn't imagine here you can say a few years back here. So it is fantastic transformation that we undergo here through through the platform of the technology that we have. >>You know, it reminds me of sort of the early days of mobile people talked about being able to connect, you know, remote users in places like Africa or other parts of the world that that haven't been able to enjoy things like a landline. Uh, and so I presume you're seeing a lot of interest in in those types of regions. Maybe you could talk about that a little bit. >>Yeah. Yeah, correct. I mean, I mean, we we see all of this region here, but for for example, Uh uh. Now, we we, uh we were not only entering, you can say the the, uh, specifically the African region, but also you can say the Middle East and the the the A C a specific and also actually Latin America. I mean, a lot of this country here are looking into you can say the expansion, how they can evolve. You can say the financial inclusion from what they have today, when they are, and you can say firm telecom provider, they would like to have an asset of different use case here, and we're seeing that transformation. But we have right now from just voice, you can say SMS and five year etcetera so on. This is the platform that we have to sort of enable the transaction for for a mobile financial system. But we would like also to see that the kind of operator or evolving the business with much more feature here. And this is another. You can say I was attraction to attract the user with the mobile transfer system. So we we we see this kind of expanding very heavily in this this kind of market. >>I think this is really transformative. I mean, in terms of people's lives. I mean, first of all, you're talking about the convenience of being able to move money as bits as opposed to paper, but as well I would think supporting entrepreneurship and business is getting started. I mean, there's a whole set of cultural and societal impacts that that you're having. How do you see that >>we we also providing you say I mean the world to such is also supporting, say microloans and need as an entrepreneur is to sort of start you can say any kind of company, but you need to kind of business around here. So we have seen that we have sort of enterprise services across function and the whole asset that we are that we are into today >>talking a little bit >>about >>partnerships and the ecosystems. I know you've got big partnerships with HPD. We're going to get to that. They're kind of a technology operator, but But what about, you know, other partnerships, like, I'm imagining that if I'm gonna pay my my my bill with this, you've got other providers that got to connect into your platform. So So how are those ecosystem partnerships evolving? >>Well, we are kind of the enabler, but we are providing to the operator the partnerships is then going through the operator. It could be any kind of you can say external instrument that we have today and the kind of you can go directly to the bank. You can go directly to any court provider. You have these amongst the court, etcetera and so on. But these are all partners of the and you can stay connected through there. You can say operator assault today. So what we're doing actually, with our platform is to kind of make the enable them to kind of provide the food ecosystem as partnership to to operate as us today. Here, So that that's kind of the baseline that we see how you can say we are sort of supporting of building the full ecosystem around the platform in order to connect here has come to both the like, the card. As I said here, the merchant, the bank, any kind of type of you can say I will say service provider here, but that we can see could enable the ecosystem >>okay. And so I mean, I don't want to geek out here, but it sounds like it's an open system that my developers can plug into through a p i s They're not gonna throw cold water on that. They're going to embrace it. So yeah, this is actually easy for me to integrate with, Is that correct? >>Correct. Correct. And they open API that we're actually providing today. I think that you can say there are five thousands of you can say developer, just you can say connecting to our system. And actually, we're also providing both sandbox and and other application in order to support this developers in order to to kind of create this ecosystem here. So it's a multiple things that we we see through you can say, hear, hear the both the partners partnership the open API or you can say the development that is doing through through the channels. So I mean, it's a fascinating, amazing development that we see up front here right now. >>Now, what's H. P s role in all this? What are they providing? How are you partnering with them? >>So it's very good question, I would say. And we we look back, you can say and we we have evaluated a lot of you say that the provider fruit year here, And, uh, you can just imagine the the kind of, uh, stability that we need to provide when it comes to the financial inclusion system here because what we need to have a very strong uptake of, uh, making sure that we don't both go with the performance and the stability and what we have seen in our lab is that hypocrisy today is we have domestically evolved how you can say our stability assessed on the system. And right now we are leveraging the the dog is with the microservices here, together with HV on the platform that you're providing. So I will say that the transformation we have done in the stability that we have get through the food. You can say HP system is really fantastic at the moment. >>Well, and you know, I'm no security expert, but I talked to a lot of security experts and what I what I do know is they tell me that that you can't just bolt security on. It's got to be designed in from the start. I would imagine that that's part of the HPD partnership. But what about security? Can I fully trust this platform >>now? It's It's very, very valid question. I would say we we have one of the most you can say secure system here were also running multiple external. You can say, uh, system validation there is called The PNDs s certification is a certification, But we we have external auditor, you can say trying to breach the system. Look at the process that we are developing making sure that we have You can say all of you can say the documentation really in shape and seeing that we follow the procedure when we are both developing the code and and also when we're looking into all the a p I s that were actually exposed to to to our end users. So I would say that we haven't had any bridge on our system and we we really working tightly. I'll say both together with I'll say, H b and and of course, the the customer, such and? And every time we do a Lawrence, we also make you can say final security validation on the system here in order to sort of see that we have and and two and because the application that is completely secure, So so that that that that's a very, very important topic. For from our point of view, >>Yeah, because it's the usual. I don't even want to think about that. Like I set up front. It's It's got to be hidden from me, all that complexity. But there's sort of the same question around compliance and privacy. I mean, often security, privacy. There's sort of two sides of the same coin, but compliance privacy You've got to worry about K. Y. C Know your customer? Uh, there's a lot of complexity around that, and and so that's another key piece. >>Mhm Now. Like you said, the K Y C is an important part that we have fully support in our system and we validate. You can say all the uses We we also are running, You can say with our credit scoring companies that the you can say our operator or are partnering with. So this combined, you can say, with both the K Y C and then and the credit scoring. But there were performing that. Let's make us a very you can say unique, stable platform as such. >>Okay, last question is, is what about going forward? What's the road map look like? What can you share? What should we expect going forward in terms of the impact that this will have on society and how the technology will evolve. >>Well, what is he going forward? And that's a very interesting question, because what we what we see right now is how we we we kind of have changed the life for for so many. You can say unbanked people here and we would like to have You can say, uh, any kind of assets that going forward here, any kind of you can see that the digital currency is a bouldering through both government. You can see over top players like Google. You can say, What's up all of these things. Here we want to be the one, but also connecting. You can say this type of platform together and see that we could be the heart of the ecosystem going forward here, independent in what kind of you can say customer we're aiming for. So I would say this This is kind of the role that we will play in the future here, depending on what kind of currency it would be. So it's very interesting future we see. With this, you can say abroad digital currency in the market and the trends that we are now right now, evolving on >>very exciting when we're talking about elevating, you know, potentially billions of people all, uh, thanks very much for sharing this innovation with the audience. And best of luck with this incredible platform. Congratulations. >>Thank you so much, Dave. And once again, thank you for having me here, and I'll talk to you soon again. Thank you. >>Thank you. It's been our pleasure. And thank you for watching. This is Dave Valenti. >>Yeah. Mhm. Yeah. Mhm. Okay.

(upbeat music playing) >> Okay, now we're going to look deeper into the intersection of technology and money and actually a force for good mobile and the infrastructure around it has made sending money as easy as sending a text. But the capabilities that enable this to happen are quite amazing, especially because as users we don't see the underlying complexity of the transactions. We just enjoy the benefits and there's many parts of the world that historically have not been able to enjoy these benefits. And the ecosystems that are developing around these new platforms are truly transformative. And with me to explain the business impacts of these innovations is all a person who was the head of mobile financial services at Ericsson Allah. Welcome to the program. Thanks for coming on. >> Thank you, Dave. Thank you for having me here in the program. And they're really excited to tell me tell us about the product that we have within Ericsson. >> Well, let's get right into it. I mean your firm has developed the Ericsson wallet platform. What is that plan? >> Yes. The wallet platform is one of the product but being, you can say offer here by Erickson and the platform is built on enabled financial services not for only the bank segment, but also for the unbanked. And we have, the function that we are providing a such here is both transfer the service provider payment. You have the cash in the cash out you have a lots of other features that we kind of enable through the ecosystem as such. And I would really like you say to emphasize on the use. And they're the really, I would say connectivity that we have in these platform here, because looking at you can say the pandemic assaults here. Now we really have made, you can say tremendous Shane here through all the function, et cetera feature that we have here. >> Yeah. And I mean, I I'm surrounded by banks in Massachusetts. No problem. I'm in Boston, right? So, but there's a lot of places in the world that aren't I take for granted some of the capabilities that are there, but part of this is to enable people who don't have access to those types of services. Maybe you could talk about that and talk about some of the things that you're enabling with the platform >> Right? You just think of there you can say unbanked people here but we have across the emerging market. I think we have 1.7 billion unbanked people here but we actually can through one of the path from enable proof getting a bank account, et cetera, and so on here. And what we actually providing, you can say in, in this in this feature rates here is that you you can pay your electricity bill. For example, here, you can pay your bill and you can go through merchant, you can do the cash out. You can do multiple thing here, just like, I mean, to enable the, the departure that financial inclusion that we have. So, I mean, from my point of view, where we see things, as I said we also sit in Sweden, we have bank account we have something called swish where we send you can say money back and back and forth between the family, et cetera. On these type of transaction, we can have enable for all. You can say the user better come across the platform here and the, the kind of growth that we have within this usage here. And we seeing also, I mean we leverage here to get with a speed today on a fantastic scale that we actually have here with I would say are both, you can say feature performance going I will say re really in the direction. But we couldn't imagine here. You can say a few years back here. It is fantastic transformation but we undergo here through the platform of the technology that we have. >> No, it reminds me of sort of the early days of mobile people talked about being able to connect remote users in places like Africa or other parts of the world that haven't been able to enjoy things like a land line. And I presume you're seeing a lot of interest in those types of regions. Maybe you could talk about that a little bit. >> Yeah. Correct. I mean we see all of these region here about, for example, now we not only entering, you can say the specifically the Africa region but also you can say the middle East and the Asia Pacific and also actually Latin America. I mean, a lot of these country here, all looking into you can say the expansion, how they can evolve you can say the financial inclusion from what they have today, when they are, and you can say from telco provider, they would like to have an asset of different use cases here. And we're seeing that transformation, but we have right now from just voice, you can say SMS and 5G, et cetera. This is the platform that we have to sort of enable the transaction for a mobile financial system. But we would like also to see about the kind of operator or bond being the business with much more features here. And this is another, you can say, I was attraction to attract the user where the the mobile transfer system. We see these kind of expanding very heavily in these, these kind of market. >> I think this is really transformative, not, I mean in terms of people's lives. I mean, your first of all, you're talking about the convenience of being able to move money as bits as opposed to paper, but as well I would think supporting entrepreneurship and businesses getting started, I mean, there's a whole set of cultural and societal impacts that you're having. How do you see that? >> Yeah. We also provide the, you say, I mean is also supporting, say micro loans and need as an entrepreneurial sort of stock. You can say any kind of company. You need to get off these, this around here. We have seen that we have a of enterprise. Those is a cross functional, the whole asset that we are, that we are oriented today. >> Talk a little bit about partnerships and ecosystems. I know you've got big partnerships with, with HPE. We're going to get to that. They're kind of as a technology provider, but what about, other partnerships like I'm imagining that if I'm going to pay my bill with this you've got other providers that got to connect into your platform. How are those ecosystem partnerships evolving? >> Well, are kind of enabler about we are providing to the operator. The partnerships is then going through the operator. It could be any kind of you can say external instrument that we have today and they can know if you can go directly to that to the bank, you can go directly to any core provider. You have these most et cetera, so on but these are all partners would be in. You could say connected through there. You can say, operate through a subsidy. What we doing actually with our platform is to kind of make the navel and to kind of provide the food ecosystem as partnership to operate a SAS today here. That's kind of the baseline that we see how you can say. We are sort of supporting of building the full ecosystem around the platform in order to connect here. Wells come to both the light, the cord as I said, here, the merchant, the bank, any kind of, type of, you can say I would say service provider here but that we can see could enable the ecosystem. >> Okay. And I don't want to geek out here but it sounds like it's an open system that my developers can plug into through APIs. They're not going to throw cold water on it. They're going to embrace it and say, Oh yeah this is actually easy for me to integrate with. Is that correct? >> Correct. Correct. And the open API that we actually are providing today I think that you can say there are thousands of you can say developer, just you can say connecting to our system. And actually we also providing both sandbox and Ann Arbor. You can see the application in order to support this to developers in order to kind of create this ecosystem here. It's a multiple things that we see through what you can say here, they're both the partners partnership, the open API, or you can say that the development that is doing for prudent channels. So, I mean, it's an fascinating amazing development that we'll see our frontier right now. >> Now what's HP's role in all this, what are they providing? How are you partnering with them? >> It's very good question. I will say. And we look back, you can say, and we have evaluate a lot of you say that the provide the fruit year here and you can just imagine the kind of stability that we need to provide when come to the financial inclusion system here because what we need to have a very strong uptake of making sure that we don't both go with the performance and the stability. And what we have seen in our lab is that the partnership with HP have domestically evolve. Our, you can say our stability assessed on the system. And right now we are leveraging the Dockers with the microservices here to get with HB on the platform that you're providing. I would say that the transformation we have done in disability, but we have get through the food. You can say HP system is, is really fantastic at the moment. >> I'm no security expert, but I talked to a lot of security experts in what I do know is they tell me that, that you can't just bolt security on. It's going to be designed in from the start. I would imagine that that's part of the HPP partnership but what about security? Can I fully trust this platform? >> No, it's very valid question. I will say we have one of the most you can say secure system here we also running multiple external. You can say a system validation data it's called the PRD assess certification is a certification but we have external auditor. You can say trying to breach the system look at the process that we are developing making sure that we have, you can say, or off you can say the documentation really in shape. And seeing that we follow the procedure when we are both developing the code. And also when we look into all the API that we actually exposed to our end users. I would say that we haven't had any breach on our system. And we really work in tightly. I would say both to get with, I would say HP and the of course the customers out and every time we do a low once, we also make you can say final security validation on the system here in order to sort of see that we have an end to end because the application, but it's completely secure. That's a very important topic from our point of view. >> There's a usual, I don't even want to think about that. Like I said, up front it's going to be hidden from me all that complexity, but it's sort of same question around compliance and privacy. I an often, security, privacy there's sort of two sides of the same coin, but compliance privacy you've got to worry about KYC, know your customer. There's a lot of complexity around that. And that's another key piece. >> Now, like you said, the KYC is an important part that we have food support in our system. And then we validate you can say all the users, we also are running you can say without credit scoring companies, the you can say operator or partnering with, his combined you can say with both the KYC and the credit scoring that we are performing, that's make us a very you can say unique, stable platform and such. >> Last question is, what about going forward? What's the roadmap look like? What can you share? What should we expect going forward in terms of the impact that this will have on society and how the technology will evolve? >> Well, what is he going forward? That's very interesting question because what we see right now is how we kind of have changed the life for so many. You can say unbanked people here, and we would like to have you can say any kind of assets that going forward here, any kind of you can see that the digital currency is evolving through both government. You can see over the top players like Google you can say WhatsApp, all of these things here. We want to be the one that also connecting. You can say these type of platform together and see that we could be the heart of the ecosystem going forward here, independent in what kind of, you can say customer we aiming for. I will say this is kind of the role that we will play in the future here, depending on what kind of currency it would be. It's a very interesting future. We see with this you can say overall digital currency, the market and the trends that we are now right now evolving on. >> Very exciting. And we were talking about elevating, potentially billions of people, all... Thanks very much for sharing this innovation with the audience and best of luck with this incredible platform. Congratulations. >> Thank you so much, Dave. And once again, thank you for having me here. And I'll talk to you soon again. Thank you. >> Thank you. It's been our pleasure and thank you for watching. This is Dave Vellante. (upbeat music playing)

>>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.

>> Welcome back to AnsibleFest. I'm Matthew Jones, I'm the architect of the Ansible Automation Platform. And today I want to talk to you a little bit about what we've got coming in 2021, and some of the things that we're working on for the future. Today, I really want to cover some of the work that we're doing on scale and flexibility, and how we're going to focus on that for the next year. I also want to talk about how we're going to help you grow and manage and use your content on the Automation platform. And then finally, I want to look a little bit beyond the automation platform itself. So, last year we introduced Ansible Content Collections. Earlier this year, we introduced the Ansible Automation Hub on Red Hat Cloud. And yesterday you heard Richard mentioned on private automation hub that's coming later this year. And automation hub, Ansible tower, this is really what the automation platform means for us. It's bringing together that content, with the ability to execute and run and manage that content, that's really important. And so what we really want to do, is we want to help you bring Red Hat and partner content that you trust together with community content from galaxy that you may need, and bring this together with content that you develop for yourself, your roles, your collections, the automation that you actually do. And we want to give you control over that content and help you curate that content and build a community around your automation. We want to focus on a seamless experience with this automation from Ansible Tower and from Automation Hub for the automation platform itself, and make it accessible to the automation and infrastructure that you're managing. Now that we've talked about content a little bit, I want to talk about how you run Ansible. Today an Ansible Tower, use virtual environments to manage the actual execution of Ansible, and virtual environments are okay, but they have some drawbacks. Primarily they're not very portable. It's difficult to manage dependencies and the version of Ansible. Sometimes those dependencies conflict with the other systems that are on the infrastructure itself, even Ansible Tower. So what we've done is created a new system that we call execution environments. Execution environments are container-based. And what we're doing is bringing the flexibility and portability of containers to these Ansible execution environments. And the goal really is portability. And we want to be able to leverage the tools that the community develops as well as the tools that Red Hat provides to be able to produce these container images and use them effectively. At Ansible we've developed a tool called Ansible Builder. Ansible builder will let you bring content collections together with the version of Ansible and Red Hats base container image so that you can put together your own images for execution environments. And you'll be able to host these on your own private registry infrastructure. If you don't already have a container registry solution, Automation Hub itself provides that registry. The idea here is that, unlike today where your virtual environments and your production execution environments diverge a little bit from what your developers, your content developers and your automation developers experience, we want to give you the same experience between your production environments and your development environments, all the way through your test and validation workloads. Red Hat's also going to provide some prebuilt execution environments. We want to have some continuity between the experience that you have today on the Ansible tower and what you'll have next year, once we bring execution environments into production. We want you to be able to trust the Ansible, the version of Ansible that's running on your execution environments, and that you have the content that you expect. At the same time, we're going to provide a version of the execution environment, that's just the base execution environment. All it has is Ansible. This will let you take those using Ansible builder, take the collections that you've developed, that you need in your automation and combine them without having to bring in things that you don't need, or that you don't want in your automation and build them together into a very opinionated, container image. If you're interested in execution environments and you want to know how these are built and how you'll use them, we actually have them available for you to use today. Shane McDonald and Adam Miller are giving a talk later with a walk through how to build execution environments and how you'll use them. You can use this to make sure that you're ready for execution environments coming to the automation platform next year. Now that we've talked about how we build execution environments, I want to talk about how execution runs in your infrastructure. So today when you deploy Ansible tower, you're deploying a monolithic web application. Your execution capability is tied up into how you actually deploy Ansible tower. This makes scaling Ansible tower and your automation workloads difficult, and everything has to be co-located together in the same data center. Isolated nodes solve this a little bit, but they bring about their own sort of opinionated challenges in setting up SSH and having direct connectivity between the control nodes and the execution nodes themselves. We want to make this more flexible and easier to use. And so one of the things that we've created over the last year and that we've been working on over the last year is something that we call receptor. Receptor is an overlay network that's an Automation Mesh. And the goal here is to separate the execution capability of your Ansible content from the control plane capability, where you manage the web infrastructure, the users, the role-based access control. We want to draw a line between those. We want you to be able to deploy execution environments anywhere. Chris Wright earlier today mentioned Edge. Well Edge Cloud, we want you to be able to manage data centers anywhere in the world, and you can do this with the Automation Mesh,. The Automation Mesh connects your control plane with those execution nodes, anywhere in the world. Another thing that the Automation Mesh brings is, we're going to be able to draw the lines between the control plane themselves and each Automation Mesh node. This means that if you have an outage or a problem on your network and on your infrastructure, if you can draw a line between the control plane itself and the node that needs to execute, the sensible work, the Automation Mesh can route around problems. The Automation Mesh in the way it's deployed, also allows this to fit closer with ingress and egress policies that you have between your infrastructure. It doesn't matter which direction the Automation Mesh itself connects in. Once the connection is established, automation will be able to flow from the control systems to the execution nodes and get responses back. Now, this all works together with automation of the content collections that we mentioned earlier, the execution environments that we were just talking about and your container registries. All of these work together with these Automation Mesh nodes. They're very lightweight and very simple systems. This means you can scale up and scale down execution capacity as your needs increase or decrease. You don't need to keep around a lot of extra capacity just in case you automate more, just because you're not sure when your execution capacity needs will increase and decrease. This fits into an automated system for scaling your infrastructure and scaling your execution capacity. Now that we've talked about the content that you use to manage, and how that execution is performed and where that execution is performed. I want to look a little bit beyond the actual automation platform itself. And specifically, I want to talk about how the automation platform works with OpenShift and Kubernetes. Now we have an existing installer for Ansible tower that we'll deploy to OpenShift Kubernetes, and we support OpenShift and Kubernetes as a first-class system for deploying Ansible tower. But I mentioned automation hub and Ansible tower as this is what the automation platform is for us. So we want to take that installer and replace it with an operator-based full life cycle approach to deploying and managing the automation platform on OpenShift. This operator will be available in OperatorHub. So there's no need to manage complex YAML files that represent the deployment. Since it's available in OperatorHub, you have one place that you can go to manage deployments, upgrades, backup and restore. And all of this work seamlessly with the container groups feature that we introduced last year. But I want to take this a little bit beyond just deploying and upgrading the automation platform from the operator. We want to look at what other capabilities that we can get out of those operators. So beyond just deploying and upgrading, we're also creating a resource operators and CRDs that will allow other systems running in OpenShift or Kubernetes to directly manage resources within the automation platform. Anything from triggering jobs and getting the status of jobs back, we want to enable that capability if you're using OpenShift and Kubernetes. The first place we're starting with this, is Red Hats Advanced Cluster Management system. Advanced Cluster Management brings together the ability to manage OpenShift and Kubernetes clusters to install them and manage them, as well as applications and products in managing the life cycle of those across your clusters. So what we really want to do, is give you the ability to connect traditional and container-based workloads together. You're already using the Ansible automation platform to manage workloads with Ansible. When using Advanced Cluster Management and OpenShift and Kubernetes, now you have a full system. You can manage across clouds across clusters, anywhere in the world. And this sort of brings me back to one of the areas of focuses for us. Our goal is complete end-to-end automation. We want to connect your people, your domains and the processes. We want to help you deliver for you and your customers by expanding the capabilities of the Ansible automation platform. And we want to make this a seamless experience to both curate content, control the content for your organization, and run the content and run Ansible itself using the full suite of the Ansible automation platform. So the Advanced Cluster management team is giving a talk later where you'll actually be able to see Advanced cluster Management and the Ansible automation platform working together. Don't forget to check out Adam and Shane's talk on execution environments, how those are built and how you can use those. Thank you for coming to AnsibleFest, and we'll see you next time.

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