>>you welcome to the cubes, continuing coverage of Splunk dot com. 21 I'm lisa martin of a couple guests here with me. Next talking about Splunk H P E N. Deloitte, please welcome Casey Clark, Managing Director and chief architect at Deloitte and Elias Alanya Master Technologists Office of the North American C T O at H P E. Guys welcome to the program. Great to have you. >>Thank you lisa. It's great to be here. >>Thanks lisa >>Here we still are in this virtual world the last 18 months, so many challenges, some opportunities, some silver linings but some of the big challenges that organizations are facing this rapid shift to remote work. The rapid acceleration In digital transformation ran somewhere up nearly 11 x in the first half of this year alone. Solar winds talk to me about some of the challenges that organizations are facing and how you're helping them deal with that Casey >>we'll start with you So most of our clients as we move to virtual um have accelerated their adoption of multiple cloud platforms. You know, moving into a W S into Azure into google. And one of the biggest challenges is in this distributed environment, they still have significant workloads on prem Part of the workloads are in office 3 65. Part of them are in salesforce part of them they're moving into AWS or big data workloads into google. How do you make this all manageable from both. A security point of view and accelerating threats. Uh make that much worse but also from an operational point of view, you know, how do I do application performance management when I have workloads in the cloud calling. Api is back on prem into the mainframe. How do I make an operationally when I have tons of containers and virtual machines operating out there? So the importance of Splunk and good log management observe ability along with all the security management and the security logs and being able to monitor for your environment in this complex distributed environment is absolutely critical and it's just going to get more complex as we get more distributed. >>How can companies given the complexity? How can companies with these complicated I. T. Landscapes get ahead of some of these issues? >>One of the things that we really focused on making sure that you're getting ahead of those and you know we work with organizations like Splunk and Deloitte is how do we how do we collect all of the data? Not just a little bit of it, you know Splunk, help and Deloitte are helping us look across all of those places. We want to make sure that we can can really ingest everything that's out there and then let the tools like Splunk then use all of that data. We found a lot of organizations really struggle with that and with the retention of that data it's been a challenge. So those are things that we really worked hard on figuring out with organizations out there um how to how to ingest retain and then modernize how they do those things at the same time. >>I was reading the Splunk state of Security report which they surveyed over 500 security leaders I think it was over nine um global economies and they said 78% of security and I. T. Leaders worry 78% that they're going to be hit by something like solar winds. Um That style of attack Splunk saying security is a data problem but also looking at all this talk about being on the defensive and preventing attacks the threat landscape escaping companies also have to plan for growth. They have to plan for agility. How do you both help them accomplished? Both at the same time Casey will start with you. >>Well fundamentally on the security front you start with security by design. You're designing the logging the monitoring the defenses into the systems as they are being designed up front as opposed to adding them when you get to Um you know you 80 or production environment. So security by design much like devops and Fc cops is pushing that attitude towards security back earlier in the process so that each of the systems as we're developing them um have the defenses that are needed and have the logging that are embedded in them and the standards for logging so that you don't just get a lot of different kinds of data you get the data you actually need coming into the system and then setting up the correlation of that data so you can identify those threats early through a i through predictive analytics, you get to identify things more quickly. You know, it's all about reducing cycle times and getting better information by designing it in from the beginning, >>standing in from the beginning that shifting left Elias. What are your thoughts about this, enabling that defense, designing an upfront and also enabling organizations to have the agility to grow and expand? >>Yes, sort of reminded of something our friends with the Blue oval used to say in manufacturing quality isn't inspected, it's built in right and and two cases point you have to build it in. We've we've definitely worked with delight to do that and we've set up systems so that they have true agility. We've done things like container ice block with kubernetes uh you know, work with object storage. A lot of the new modern technologies that maybe organizations aren't quite accustomed to yet are still getting on board with. And so we wrap those up in our HP Green Lake managed services so that we can provide those things to organizations that aren't maybe aren't ready for them yet. But the threat landscape is such that you have to be able to do those things if you're not orchestrating these thousands and thousands of containers with something like kubernetes, it's just it becomes such a manual labor intensive process. And so that that labor intensive, non automated process. That's the thing that we're trying to remove. >>Well that's an inhibitor to growth, right number one there, let's go ahead and dig into the HP. Deloitte Splunk solution case. I'm going to go back over to, you talk to me about kind of the catalyst for developing the solution and then we'll dig into it in terms of what it's delivering. >>So Deloitte has had long term partnerships with both H B E and Splunk and we're very excited about working together with them on this solution. Um the HP Green Light, which is hardware by subscription, the flexibility of that platform, you know, the cost effectiveness of the platform. Be able to run workloads like Splunk on it that are constantly changing. You have peaks and valleys depending on, you know, how much work you're doing, how many logs are coming in and so being able to expand that environment quickly through containerized architecture, Oz Funk, which is what we worked on, um you know, with the HP Green Light team uh and and also with spunk so that we can Federated the workloads and everything that's going on on prem with workloads that are in the cloud and doing it very flexibly with the HP on prim platform as well as, you know, Splunk on google and Azure and Splunk cloud um and then having one pane of glass that goes across all of it has been very exciting. You know, we were getting lots of interest in the demo of what we've done on the Green light platform and the partnership has been going great, uh >>that single pane of glass is so critical. We talked about cloud complexity a few minutes ago, customers are dealing with so many different applications there now in this hybrid multi cloud world, it's probably only going to proliferate, Let's talk to me about H P. S perspective and how you're going to help reduce the cloud complexity that customers in every industry are facing. >>Yeah, so within the HP Green Lake umbrella of portfolio, we have set up our uh admiral container platform, for example, are Green Lake management services. We bring all these things together in a way that that really can accelerate applications uh that can make the magic that Deloitte does work underneath. And so when, when our friends at Deloitte go and build something, someone has to, has to bring that to life, has to run it for for our customers. And so that's what Hb Green Lake does, then we do that in a way that fundamentally aligns to the business cycles that go on. And so, uh you know, we think of cloud as an operating model, not necessarily just a physical destination. And so we work on prem Coehlo public hybrid Green Lake spans across all of those and can bring together in a way that really helps customers. We've seen so many times, they have these silos and islands of data. Um you know, you've got uh data being generated in the cloud. Well, you need Splunk in the cloud, you've got the energy generated in uh, Amelia, Well you've got spunk into me and so so Deloitte's really done some great things to help us put that together and then we, we underpin that with the, with the green like uh management services with our software and our infrastructure to make it all >>work. Yeah, Elias, one of the areas that you just mentioned is is one of the hottest trends that we've noticed out there. A lot of clients, you know, with the competition for skilled resources out there on the engineering side and operations are looking at managed services as an option to building, you know, their own technology, you know, hiring their own team, running it themselves and the work that we do with both on the security side as well as operations to provide managed services for our clients in collaboration with companies like HP E and running of the Green Lake platform platforms as well as one cloud, those combined services together and delivered as a managed service uh to our clients is an exciting trend out there that um, is increasingly seen as very cost effective for our clients >>saving cost is key case. I want to get your perspective on what you think differentiates this, this solution, the technology alliance, what are the differentiators in this from Deloitte's lens. >>So bringing the expertise of a company like HP and the flexibility and expand ability of the Green lake platform and the container ization that they've done with Israel, you know, it's, it's bringing that cloud like automation and virtual and flexibility to on uh, the on prem and the hybrid cloud solution combined with Splunk who is rapidly expanding not only what they do in the security space where the constantly changing security landscape out there, but also in observe ability application, performance management, um, Ai ops, um, you know, fully automated and integrated response to operational events that are out there. So HP is doing what they do really well and adapting to this new world. Splunk is constantly changing their products to make it easier for us to go after those operational issues. And Deloitte is coming in with both the industry and the technical experience to bring it all together, you know, how do you log the right things, you know, how do you identify, you know, the real signal versus the noise out there? You know, when you're collecting massive amounts of log data, you know, how do you make it actionable? How can you automate those actions? So by bringing together all three of these berms together, uh we can bring a much better, much, much more effective solutions to our clients in much shorter time frames, >>Shorter time frames are key given that one of the things we've learned in the last 18 months, is that real time is really business critical for companies in every industry unless I want to get your perspective from a technology lens, talk to me about the differentiators here, what this solution is three way alliance brings to your customers. >>Yeah, sure thing. We've done a lot of work with Deloitte and with Intel also on performance optimization, which is, is key for any application and that gets to what I mentioned earlier of bringing more data in some of the work that we've done with until we've able been able to accelerate Are the ingest rate of Splunk by about 17 times, which is pretty incredible. Uh, and that allows us to do more or do more with less and that can help reduce the cost. Also done a lot of work on the, on the setup side. So there's a lot of complexities in running a big enterprise application like Splunk. Um, it does a lot of great things but with that comes some complications for sure. And so, uh, a lot of the work that we've done is to help really make this production ready at scale disaster tolerance and bring all of those things together. And that >>requires a fair amount of >>work on the back end to make sure that we can, we can do that at scale and, and to be a, you know, to run, you know, in a way that businesses of significant size can take advantage of these things without having to worry about what happens if I lose a data center or what happens if I lose a region. Um And and to do those things with absolute assurance >>That's critical case you have a question for you. How will this solution help facilitate one of the positives that we've seen during the last 18 months and that is the strengthening of the IT security relationship. What are your thoughts there? >>I think one of the important things here is that the standardization and automation of what we're what we're bringing together you know so that security can monitor all the different things that are being configured because I can go in and look at the automation that it's creating them. So we have a very dynamic environment now with the new cloud based and virtualized environment so going in and manually configuring anything anymore. It's just not possible. Not when you're managing tens of thousands of servers out there. So security working together very closely with operations and collaborating on that automation so that the managed services are are configured right from the beginning as we talked about security about design. Operations by design in the beginning it's that early collaboration and that shift left that is giving us the very close collaboration that results in good telemetry, good visibility you know good reaction times on the other end. >>That collaboration is something that we've also seen is really a key theme that's emerged I think from all of us in every industry in the last 18 months. And I want to punt the last question to you and that's where can customers go to learn more information? How do they get started with this solution? >>A great way to get started is to reach out to our partners like Deloitte, they can help you on that journey. Hp. Es there, of course. Hp dot com. We have a number of white papers, collateral presentations, reference architecture is you name it, it's out there. But really every organization is unique. Every every challenge that we come up with always requires a little bit of hard thinking and and so that's why we have the partnership >>to be able to work with customers and collaborate. I'll say to really identify what their challenges are, how they help them in this very dynamic. No doubt continuing to be dynamic market. Thank you both so much for joining me talking to me about what Deloitte Splunk NHP are doing, how you're helping customers address that cloud complexity from the security lens, the operations lens. We appreciate your time. >>Thanks lisa. Thank you lisa tonight >>For my guests. I'm Lisa Martin, you're watching the cubes coverage of splunk.com 21. Yeah. Mhm

>>from around the globe. It's the Cube with digital coverage of HP Green Lake Day made possible by Hewlett >>Packard Enterprise. Okay, so we're deep into H B E Green Lake Day Hope. Hopefully, you've enjoyed the spotlight sessions with Keith with with Pete, with Addison and and Skip from Splunk and, of course, the platform session that our Qadoura hosted. You know, we're going for proof points here. We really want you toe squint through the narrative today and see for yourself what's what's really here and the kind of progress that HP is making with Green Lake. So thanks to everybody for joining the conversation, we now want to turn our attention to more proof points. The next segment of this HB Green Lake day is where you'll have further opportunities toe Learn mawr about Green Lake and how you might apply it to your business. Now, if you're interested in watching watching additional sessions, we have two new ones available for you to see. The first is a session on the new managed security service from H P E with HP Green Lake, Or you could take a deeper dive into high performance computing with Green Lake just look, navigate the agenda tab and select one of those two sessions. They're available at any time. But if you want to stick with us for the live show, we have to live demos in our meat experts sessions, where you'll have the opportunity to ask your questions and have real time interaction with the experts from HP. In fact, I have Steve Showalter and Ash nor here, and they're with me right now to tell you a little bit about their meet the experts sessions. So, Steve, let's start with you. Tell us a little bit about yourself and what you'll be covering in your demo today. >>Sure, Thanks, Dave. My name's Steve Showalter. I'm a part of the Green Lake Cloud Services R and D Team Super excited to be here today, and I hope everyone conjoined our session coming up or we'll take a deeper dive and a live demo of Green Lake Central. In case you haven't seen it before, Green Lake Central's a platform we used to deliver services and capabilities to our Green Lake customers. In Todays Demo will show you how we've designed Green Lake Central to take a persona based approach to deliver the right capabilities and insights to various constituents in our customers. Organizations, for example, will show how a CEO or CFO would use Green Lake Central to view their green light consumption and costs and compare those two public cloud costs from AWS or azure right within the same reporting tool. We'll also show you how a nightie operation staff would use Green Lake Central to engage in capacity planning for their Green Lake environment or manage their Green Lake private Cloud services. We also show how end users within a customer and environment would use Green Lake central to self service and lifecycle manage resource is from these Green Lake Cloud services, or even how a chief security officer would use the continuous compliance capability that we delivered through Green Lake Central toe understand their real time compliance posture against whatever regulatory frameworks they may need to be audited against. So I hope you can join me for this informative and interactive session and look forward to seeing everyone there. >>That's awesome. It sounds like some great details. Their full 3 60 view great visibility are snore. So tell us a little bit about yourself. What's going on your session. Give us Give us the hook. >>Hi. I'm marginal product manager for Green Lake for containers, Um, and three leg for containers is our upcoming service, which promises a true cloud like experience with massive operational simplicity. Uh, this offering is built on our experience middle container platform software and aims to bring speed and portability. Tow both your cloud native and non cloud native applications. Using open source communities, we have a unique data fabric that provides persistent storage for state fel applications. And today you'll see how we demystify communities, operational complexity and provide value to various personas throughout the containerized application life cycle, for example, an idea it men will have all the standardized communities cluster templates on invent automation to spin up the environment for a developer in just a few clicks. And the developer has to just focus on continuous deployment and delivery off their applications on a CEO gets complete visibility across different communities. Clusters for the cough. >>That's awesome. I mean, we know from our data that containers generally kubernetes specifically one of the most significant areas where customers are are spending time and money, so that all sounds fantastic. so you can. You having trouble deciding what you're gonna go to? We're gonna have the chance to see both demos if you want. So we'll be live for the next hour with each meet the expert session. So we're gonna run him twice If you can't decide. Go to both. Okay. Thanks for watching HB Green Lake Day. You're watching the cube?

>>C G technology is focused on data where we have long believed that data is in our DNA. We help maximize humanity's potential by delivering world class, precision engineered data solutions developed through sustainable and profitable partnerships. Included in our offerings are hard disk drives. As I'm sure many of you know, ah, hard drive consists of a slider also known as a drive head or transducer attached to a head gimbal assembly. I had stack assembly made up of multiple head gimbal assemblies and a drive enclosure with one or more platters, or just that the head stacked assembles into. And while the concept hasn't changed, hard drive technology has progressed well beyond the initial five megabytes, 500 quarter inch drives that Seagate first produced. And, I think 1983. We have just announced in 18 terabytes 3.5 inch drive with nine flatters on a single head stack assembly with dual head stack assemblies this calendar year, the complexity of these drives further than need to incorporate Edge analytics at operation sites, so G Edward stemming established the concept of continual improvement and everything that we do, especially in product development and operations and at the end of World War Two, he embarked on a mission with support from the US government to help Japan recover from its four time losses. He established the concept of continual improvement and statistical process control to the leaders of prominent organizations within Japan. And because of this, he was honored by the Japanese emperor with the second order of the sacred treasure for his teachings, the only non Japanese to receive this honor in hundreds of years. Japan's quality control is now world famous, as many of you may know, and based on my own experience and product development, it is clear that they made a major impact on Japan's recovery after the war at Sea Gate. The work that we've been doing and adopting new technologies has been our mantra at continual improvement. As part of this effort, we embarked on the adoption of new technologies in our global operations, which includes establishing machine learning and artificial intelligence at the edge and in doing so, continue to adopt our technical capabilities within data science and data engineering. >>So I'm a principal engineer and member of the Operations and Technology Advanced Analytics Group. We are a service organization for those organizations who need to make sense of the data that they have and in doing so, perhaps introduce a different way to create an analyzed new data. Making sense of the data that organizations have is a key aspect of the work that data scientist and engineers do. So I'm a project manager for an initiative adopting artificial intelligence methodologies for C Gate manufacturing, which is the reason why I'm talking to you today. I thought I'd start by first talking about what we do at Sea Gate and follow that with a brief on artificial intelligence and its role in manufacturing. And I'd like them to discuss how AI and machine Learning is being used at Sea Gate in developing Edge analytics, where Dr Enterprise and Cooper Netease automates deployment, scaling and management of container raised applications. So finally, I like to discuss where we are headed with this initiative and where Mirant is has a major role in case some of you are not conversant in machine learning, artificial intelligence and difference outside some definitions. To cite one source, machine learning is the scientific study of algorithms and statistical bottles without computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference Instead, thus, being seen as a subset of narrow artificial intelligence were analytics and decision making take place. The intent of machine learning is to use basic algorithms to perform different functions, such as classify images to type classified emails into spam and not spam, and predict weather. The idea and this is where the concept of narrow artificial intelligence comes in, is to make decisions of a preset type basically let a machine learn from itself. These types of machine learning includes supervised learning, unsupervised learning and reinforcement learning and in supervised learning. The system learns from previous examples that are provided, such as images of dogs that are labeled by type in unsupervised learning. The algorithms are left to themselves to find answers. For example, a Siris of images of dogs can be used to group them into categories by association that's color, length of coat, length of snout and so on. So in the last slide, I mentioned narrow a I a few times, and to explain it is common to describe in terms of two categories general and narrow or weak. So Many of us were first exposed to General Ai in popular science fiction movies like 2000 and One, A Space Odyssey and Terminator General Ai is a I that can successfully perform any intellectual task that a human can. And if you ask you Lawn Musk or Stephen Hawking, this is how they view the future with General Ai. If we're not careful on how it is implemented, so most of us hope that is more like this is friendly and helpful. Um, like Wally. The reality is that machines today are not only capable of weak or narrow, a I AI that is focused on a narrow, specific task like understanding, speech or finding objects and images. Alexa and Google Home are becoming very popular, and they can be found in many homes. Their narrow task is to recognize human speech and answer limited questions or perform simple tasks like raising the temperature in your home or ordering a pizza as long as you have already defined the order. Narrow. AI is also very useful for recognizing objects in images and even counting people as they go in and out of stores. As you can see in this example, so artificial intelligence supplies, machine learning analytics inference and other techniques which can be used to solve actual problems. The two examples here particle detection, an image anomaly detection have the potential to adopt edge analytics during the manufacturing process. Ah, common problem in clean rooms is spikes in particle count from particle detectors. With this application, we can provide context to particle events by monitoring the area around the machine and detecting when foreign objects like gloves enter areas where they should not. Image Anomaly detection historically has been accomplished at sea gate by operators in clean rooms, viewing each image one at a time for anomalies, creating models of various anomalies through machine learning. Methodologies can be used to run comparative analyses in a production environment where outliers can be detected through influence in an automated real Time analytics scenario. So anomaly detection is also frequently used in machine learning to find patterns or unusual events in our data. How do you know what you don't know? It's really what you ask, and the first step in anomaly detection is to use an algorithm to find patterns or relationships in your data. In this case, we're looking at hundreds of variables and finding relationships between them. We can then look at a subset of variables and determine how they are behaving in relation to each other. We use this baseline to define normal behavior and generate a model of it. In this case, we're building a model with three variables. We can then run this model against new data. Observations that do not fit in the model are defined as anomalies, and anomalies can be good or bad. It takes a subject matter expert to determine how to classify the anomalies on classify classification could be scrapped or okay to use. For example, the subject matter expert is assisting the machine to learn the rules. We then update the model with the classifications anomalies and start running again, and we can see that there are few that generate these models. Now. Secret factories generate hundreds of thousands of images every day. Many of these require human toe, look at them and make a decision. This is dull and steak prone work that is ideal for artificial intelligence. The initiative that I am project managing is intended to offer a solution that matches the continual increased complexity of the products we manufacture and that minimizes the need for manual inspection. The Edge Rx Smart manufacturing reference architecture er, is the initiative both how meat and I are working on and sorry to say that Hamid isn't here today. But as I said, you may have guessed. Our goal is to introduce early defect detection in every stage of our manufacturing process through a machine learning and real time analytics through inference. And in doing so, we will improve overall product quality, enjoy higher yields with lesser defects and produce higher Ma Jin's. Because this was entirely new. We established partnerships with H B within video and with Docker and Amaranthus two years ago to develop the capability that we now have as we deploy edge Rx to our operation sites in four continents from a hardware. Since H P. E. And in video has been an able partner in helping us develop an architecture that we have standardized on and on the software stack side doctor has been instrumental in helping us manage a very complex project with a steep learning curve for all concerned. To further clarify efforts to enable more a i N M l in factories. Theobald active was to determine an economical edge Compute that would access the latest AI NML technology using a standardized platform across all factories. This objective included providing an upgrade path that scales while minimizing disruption to existing factory systems and burden on factory information systems. Resource is the two parts to the compute solution are shown in the diagram, and the gateway device connects to see gates, existing factory information systems, architecture ER and does inference calculations. The second part is a training device for creating and updating models. All factories will need the Gateway device and the Compute Cluster on site, and to this day it remains to be seen if the training devices needed in other locations. But we do know that one devices capable of supporting multiple factories simultaneously there are also options for training on cloud based Resource is the stream storing appliance consists of a kubernetes cluster with GPU and CPU worker notes, as well as master notes and docker trusted registries. The GPU nodes are hardware based using H B E l 4000 edge lines, the balance our virtual machines and for machine learning. We've standardized on both the H B E. Apollo 6500 and the NVIDIA G X one, each with eight in video V 100 GP use. And, incidentally, the same technology enables augmented and virtual reality. Hardware is only one part of the equation. Our software stack consists of Docker Enterprise and Cooper Netease. As I mentioned previously, we've deployed these clusters at all of our operations sites with specific use. Case is planned for each site. Moran Tous has had a major impact on our ability to develop this capability by offering a stable platform in universal control plane that provides us, with the necessary metrics to determine the health of the Kubernetes cluster and the use of Dr Trusted Registry to maintain a secure repository for containers. And they have been an exceptional partner in our efforts to deploy clusters at multiple sites. At this point in our deployment efforts, we are on prem, but we are exploring cloud service options that include Miranda's next generation Docker enterprise offering that includes stack light in conjunction with multi cluster management. And to me, the concept of federation of multi cluster management is a requirement in our case because of the global nature of our business where our operation sites are on four continents. So Stack Light provides the hook of each cluster that banks multi cluster management and effective solution. Open source has been a major part of Project Athena, and there has been a debate about using Dr CE versus Dr Enterprise. And that decision was actually easy, given the advantages that Dr Enterprise would offer, especially during a nearly phase of development. Cooper Netease was a natural addition to the software stack and has been widely accepted. But we have also been a work to adopt such open source as rabbit and to messaging tensorflow and tensor rt, to name three good lab for developments and a number of others. As you see here, is well, and most of our programming programming has been in python. The results of our efforts so far have been excellent. We are seeing a six month return on investment from just one of seven clusters where the hardware and software cost approached close to $1 million. The performance on this cluster is now over three million images processed per day for their adoption has been growing, but the biggest challenge we've seen has been handling a steep learning curve. Installing and maintaining complex Cooper needs clusters in data centers that are not used to managing the unique aspect of clusters like this. And because of this, we have been considering adopting a control plane in the cloud with Kubernetes as the service supported by Miranda's. Even without considering, Kubernetes is a service. The concept of federation or multi cluster management has to be on her road map, especially considering the global nature of our company. Thank you.

>>live from Orlando, Florida It's the cue covering Microsoft Ignite Brought to you by Cho He City Welcome >>back, everyone to the Cubes Live coverage of Microsoft IC Night. 26,000 people were here. The cube, the middle of the show floor. It's an exciting time. I'm your host. Rebecca Night, along with my co host, Stew Minutemen. We're joined by Barbara Homans. She is the director. Global ecosystem strategy and micro ecosystem lead at HP Thank you so much for coming on the Cube direct from Munich. Yes, Rebecca. Glad to be here. So you have You have two Rolls Global Ecosystem Strategy and Michael Microsoft's ecosystem lead. Explain how those work and how they there is synergy between those two roles. Yeah, I mean, I started >>off with the Microsoft role, but what we figured out is that actually, the world is much bigger than just one alliance, and that's why we call ourselves the Ecosystem. So it's all about driving alliances from different partner speed as I speed Eyes V's or also smaller partners in different segments and build a whole ecosystem play. That's what I'm attempting to do. >>So how do HB and Microsoft worked together. So we've >>seen partnering for 30 years strong, strong relationship with Microsoft and really nice to see. Also today, you know some of the H p e solutions on stage and even deepening our partnership. We have several areas. Probably 34 I can talk about in the next few minutes on how we work together with Microsoft specifically. >>Yeah. So? So Barbara, You know, I think most of us remember back, you know, early if you're talking about windows and office and you know HP here what's now part of HP Inc? Not sure. As many people know about all of the places that H p e Partners, obviously on the server side, it makes sense. But Azure is something. And the Azure arc announcement Help us understand, you know, Azure stack and beyond. Where? HP. Ethan with Microsoft on the Enterprise side. >>Perfect. Absolutely. We have still in Microsoft. Oh, am business where we have actually service attached with licenses. That's not going away rights. We absolutely. It's a strong business class. We work very closely around sequel with Microsoft, and that's also worried this whole azure arc announcement fits in. But it's more than just a sequel right with this as your arc. For me, it's a announcement around deepening relationships. Both. We're interested in a hybrid strategy. I really like Thio here from Satya today. How important hybrid is for Microsoft and this announcement as your ark. That's in public preview now, right? Well, give somewhat details on that. So we'd love to work with customers on that we actually our part of the public review and if anyone is interested, love to hear from customers. Please come to me, Barbara Holman's and we'll hook you up and get into the program. It's really about the hybrid piece, right that we both worked >>in Barbara H. P. E. If my understanding plays on both sides of it, it's not just in the data center with some gear there, but as you said, there's a sequel. The application side, you know, hybrid HP, you know, plays across the board, >>Indeed, So I don't know if you know about HB is actually a expert MSP partner for Azure. We got that last year. We're very proud of what I think we're one of 50 world by its partners. That also means we can actually offer Manage Service's Migration Service is helping people to move to an azure based clout. And that actually came partially because off our position off CTP Cloud Technology Partners, but also read pixie in the UK, and there are no old part off our point. Next service is group, and so as such, we have numerous customers were actually helped into the public cloud. Help them to find the right place. Because if you don't know if you've seen the video from Eric Poodle, that was part of the announcement today as well around as your ark, this is all about finding the right mix off your applications, and this is where we work together and a perfect fit. >>What are some of the biggest challenges you're seeing from your cut from your customers in terms of how you might, how Azure Arc might be the solution for them >>so as your ark? It's hard to say at this >>stage, because I just really don't work for Michael >>Self. So, yeah, we have to ask these people. But again, what I understand division is really that way will be able to manage hybrid environments in a in a better way, and again, this is what HP You know, we have a lot off our tour, of course, but we also announce that our hardware, all of that, will be available as a service within the next two for years. So we're moving in that direction in addition to Azure. And I think this will help customers to take adventures in the end. But it's hard to say Right, So you on this. This is very new. At this stage, the odds are right >>and this is a Microsoft show, not on HP show, but I I read somewhere that you had done a talk. Fear no cloud with H. P m. Our company's afraid. I mean, how would you describe the atmosphere with the companies that you work with? I worked >>in the cloud space, but for the last 10 years or longer, you know, it was on different parts off the industry there and from the early adoption. Really. People looking into you know, should I trust my data in this specific with this cloud provider or which applications am I gonna move? And I think today people have lost the fear a little bit, but they still don't know what to put where and there's applications, you do not want to move in a cloud. There's others that you for your specific company, you don't want to move, and another company may do that. And that's what we're trying to help them, right? So don't you don't have to fear the cloud you can. Actually, we can help you to adopt it at your pace in your way and so that you take most of the advantage out of it. >>But Barbara would love to hear any color you could give from the joint HP, EA and Microsoft customers very much. The announcement today feels like it completely. It's an update on the hybrid message, but A B and Microsoft have been working together on solutions like Azure Stack for a number of years. So what? What's working well today? What do you think you know? This will mean down the road a CZ. Some of these solutions start start to mature even further. >>Maybe moving to another area that HB and Microsoft worked very well together is around the modern workplace practice, and in there we just had a really nice win with Portia thing, actually in Austria, but planning to roll this out no further than that, and h b E's team has helped them to move from the current applicator from the current environment. Thio up two dates. Microsoft 3 65 Environment There's em OD in the UK and it's fast twice if I can talk about M. O D on stage here and they said yes, another customer that we should help to move to a Microsoft 3 65 environment. So there's numerous customers that trust HP with Microsoft in moving their their information to the to the clouds. Yeah, that's one example Asha Stack we have. You know, there's several customers that hard won about ashes. Takis. Difficult to talk about the customers because a lot of them are in the government sector on. So you know, there's a few that we can talk about, but they're mostly service providers, but the really big names, unfortunately, we can talk about because of the conference shit Confidentiality. Yeah, >>trust is one of the things that we keep hearing so much of it about at this conference. Satya Nadella talked about it on the main stage this morning in terms of the relationship that you have and HP standing in the technology world. How do you feel trust with customers? And how do you make sure you are maintaining that? That bond of trust and also the reputation of being a trustworthy partner? >>Yeah, I think I love you know, I love Saturdays, Point on trust because that actually makes the difference between you. Just deliver hardware and you walk away. And this is probably coming back to Azure stack Hop, as it's called now, right? You know, we've been told actually by Microsoft that we've accomplished with the customers from a delivery from a You know, we don't just walk away and say Good luck with the equipment you're on your own really helped them thio and make sure it's working for them. So for me, that's the key that you can come back to a customer afterwards and the customer will actually have you in your office again. >>Well, Barbara, I think back for most of my career what one of the hallmarks of an H. P e solution Was that the turnkey offering we know from, you know, ordering through delivery through, you know, up and running. HP has been streamlining that you know, I think back my entire career cloud has been not necessarily the simplest solutions out there. So maybe give us directionally. How does HPD partner with Microsoft on dhe your customers toe make? I would easier as WeII go through this journey >>S O s aside. Whereas your expert MSP partner a such we have done several of course trainings with Microsoft. We make sure that our people are educated on it way have, you know, with red pixy in the UK it's now part of point next, but I love to say the name because people really associate still with this a specific, strong and trustworthy team. You really build up a very good practice with Microsoft. There's, you know, local deal clinics where we really work in the specific deal. Steal by deal on how we can make it better for the customer. So a lot off local engagement. But for me, that all happens in country. Write me at a global level. I can only help them and steered a little bit. But that's also for me trust. It's a person to person relationship that happens in country. >>And would you say there are big differences country to country in terms of how willingly trust you and and and then how long it takes to build that relationship. >>So I'm gonna get in >>trouble now with some of the country. >>No, I you know the >>somewhere, even your CEO. >>You know, it's no, I mean you and I personally lift in Canada for a while, and so for me, it's some people are harder, you know, you need to get to know them. But then trust is even deeper then some of the others. But I have to say, it's all we're I mean, we're, I would say, from all those who look at h p were really a global company, right? And from this goes from Japan, Thio South Pacific too. You know, many countries in Asia will be very successful with ashes, stack specifically and always in Europe, the Middle East, all the way to North America, South America. So, I mean, that's the nice thing about HPD, I would say for the customers as well that they really get a global view on DA, a global company that can trust. >>So you're here, Ed ignite from Germany. What are the kinds of conversations you're having. And what do you think you're gonna take back with you when you go back to the office next week? So the other piece >>and we have ah, quite big. Both hear it at the event, right? We have a very nice edge line 8000 with us, which is kind of a ruggedized us or a smaller version. It's kindof almost my hand back, kind of to carry along, which has caught a lot of interest from the customers. So just standing there, watching the customers, asking, What is it? Can you tell me more about it? Rest is, you know, I love the bus and I love the actually part of the Microsoft Advisory Council for inspired, which is the partner event, right? But I love the bus to see here what's what's going on and always like to see how other people what they do, what they what they do at these events and then just Microsoft. I think it's wonderful, wonderful company. The inspiration. The story today was just into end a great story with great customer stories as well. So she does to the Microsoft team. Well done. >>Congratulations. Your gear was highlighted in the keynote this morning, so I'm sure that's driving a lot of traffic through for people Thio CC the latest. >>I would >>hope Superdome flex was there and then the actual stick. Both of them were there. So we worked hard for that. Thank you, Michael Self, for giving us the opportunity to be present and the keynote today. Well, >>thank you so much for coming on the Cube. It was a pleasure having you on Barbara. >>Thank you, Rebecca. Thank you. Stupid. >>I'm Rebecca Knight. First to minimum. Stay tuned for more of cubes. Live coverage of Microsoft ignite.