Dell Technologies: Master Your Hybrid IT Environment in a Multi-Cloud World

Previously on StoneBrains Online, we talked about the exponentially accelerating digitalization across all industries and enterprises. We've also covered the shift within IT from IT automation to IT orchestration when managing hybrid IT environments. The premise of today's session will be on how to master your hybrid IT environment in a multi cloud world. So let me introduce today's speakers. We have Doctor. Roa Kunz, or field CTO, excuse me, of Dell Technologies joining us from Berlin, and we also have Niels Bohr, who is Director of Product Management at Stonebridge. But before I hand off to our speakers, let me set up today's discussion with an observation. When enterprises talk about cloud, they make it synonymous with progress, and they rush to implement cloud first initiatives across the entire enterprise in an attempt to unlock the full potential of the cloud. And usually, it's done in one of the two ways. The enterprises that have most of their applications running in a data center supported by the traditional IT will try and improve everything. They will usually start an initiative as a top down initiative and they will come up with a very extensive project management plan, they will have their CTO outlined, and they will name the expected outcomes for this exercise. But what happens in this scenario is that the changes that will come out of this exercise will be materially incremental, really not unlocking the full potential that cloud has to offer. Now there's another way that sometimes this happens and that would be in enterprises that opt out of this incremental progress and decide to go all in with their cloud first initiatives. This approach is usually spearheaded by the eager and cloud focused developers that will try to have cloud first everything. So in this case, sometimes you do get the benefit of prioritizing product releases and updates, but what you risk is the unknown and ever growing TCO and the fact that sometimes the roadmap gets changed and is not aligned anymore with the corporate initiatives and objectives. So there's got to be a better way. How do you master your hybrid cloud IT environment to unlock the full cloud potential in a way that's beneficial for the entire organization? According to our first speaker, Doctor. Roland Kunz, the secret is not necessarily to be cloud first, but rather cloud smart. So let me introduce Doctor. Roland Kuntz, field CTO of DCS Emerging Technologies at Dell Technologies. He's joining us from Berlin. He's a great friend of Stonebridge and a technology partner and esteemed speaker on all things cloud and cloud transformation. So, Roland, over to you. Yeah, thank you very much Natya for introducing myself. Good morning, good afternoon, good evening wherever you are. My name is Roland Kunz. I'm a field CTO, data center solutions emerging technologies here in EMEA for Dell Technologies. And in the next thirty minutes, I will go with you in a discussion what makes a cloud smart. We call that master your hybrid IT environment in a multi cloud world, and, I will discuss some of the bits and pieces that I believe are important for a successful multi cloud strategy. So let's get started right away and of course cloud is just let's say a method for accelerating business and in the last couple of years we all saw a massive acceleration in digitalization. So first of all I want to highlight some of the things that are happening in digital transformation and then I will go into discuss more on the requirements around the cloud. Yeah, it's true and already in the last decade we were saying that data is the new oil and we entered a new decade, a new data decade where it's really up to three pillars. It's about agility, we all want and need to be more agile in products we're bringing to market, in the way how we work, in the way we react on some of the crisis that happened in the last couple of years and that also required us to be very flexible. So most of companies that I know had to be much more flexible than they used to be in the past. Another thing is now looking forward what's coming we want to be more predictable. We want to bring predictability in the business in what's happening and we want to bring some more AI and insight into what's happening in the business. So for the new data area we really need a much more flexible approach and that's one thing where the promise of cloud can be a really good promise and can help very much. But let's first have a look at what some research companies are saying and this is research that was done two years ago and I only want to highlight one of those three pillars here. And that's seventy four of all organizations are investing in on demand digital services. That means three out of four companies are investing in a flexible experience in some services. But this also means every fourth company is not doing that so are not able to do that because the base requirements are not there to invest in on demand digital services and there's really a need to catch up and to accelerate the digitalization. We at Dell Technologies do a survey every two years where we ask our customers where are you on the digital transformation journey and on the left side you see the survey results for twenty sixteen, twenty eighteen and twenty twenty and the good thing is more and more companies are saying they are now digital evaluators or digital adapters so that's good, right? We're really accelerating that. On the other hand, the digital leaders, they were companies claiming to be digital leaders. It's just a very small increase from five to six percent. I'm very curious about what will be in our next survey coming out next year and I expect that the curve will shift even more to the right, but we'll see. I think there was much more accelerations and one of the outcomes that our customers were telling us that and you see that eighty nine percent are saying we recognize that we need more agile IT infrastructure to keep up and to really be successful. And also eighty percent of the customers have accelerated speed for digital transformation programs. So all good stories to my point of view and it also already says that besides that cloud stuff, IT infrastructure still matters. What makes the difference between a digital leader and a digital laggard? So here's maybe one KPI that's quite interesting. This was done by a four fifty one Research last year and there's a real difference in how OpEx is used in customers. So we see the digital leaders are more and more moving into an OpEx experience rather moving away from capital expenses. So the way IT is consumed and the way even in the data center IT is consumed moves more and more to an on demand and an operational model and I think that's quite interesting because that is showing where our industry is heading in the next couple of years. But what does that mean for cloud? And I almost know no customer that's not telling me we have a cloud first strategy and I think that's good because cloud is really an important part of the strategy to be more agile, react on what's happening in the business, but it also depends on what cloud you use. So first of all, let me define that cloud is really not a destination, it's not somewhere, it's an operation model. So it means the way how I operate my business, how my business user consumes services, that's all about cloud. It's not about it's in my data center, it's somewhere outsourced, it's in some of the big cloud models. This really depends on a lot of different influential factors. So think of laws of physics. Whenever there are big data that you need to analyze real quick, there comes latency into play and you want to have your processing power close to where the data is. So that might be a definition where to run that workload and there are also laws of economies. Of course, you want to have the best fit on a pricing position and also on how much are you using for your workloads and finally of course every country, especially like public, they have special laws of the land that we need to consider. So I believe that the future isn't neither public or private, it's both and as I said it's a consumption model. So what I really want to introduce is the idea of cloud smart. So we bring together the best of both worlds. We bring your data center where you operate but you transform that in a cloud like experience and we enrich it and extend it with the great services available in public cloud offerings. When I say public cloud, I mostly refer to the big ones like Azure or AWS or Google. So the answer is both. The real question is how much? So it's about right placement and right sizing. Here are some architectural overview of what comes into play and I have put the data center in the middle because most of the customers have historically had their data centers and they are still very important. They get modernized, they get more agile, they deliver the cloud like experience but for a true cloud strategy the public cloud for sure needs to be taken into account but also those software as a service providers. Think of Salesforce as an example where you really consume your software as a service and then getting more and more important is everything on the edge. So like the factories, the hospitals, the edge computing where more and more data is produced and needs to be analyzed but also your branch offices so where the people are working. So really everything comes into play and all of those locations have their own challenges and I don't want to go in all the details of those but let me take some of them out of picture. So talking very to the right side on the factories, the edge compute and data processing typically needs to happen there because you cannot afford with all the latency and reaction to bring that to the data center and back. Think of a self driving car that wants to send data to a data center to find out how to brake or not to brake. That's just not possible. On the other hand, if you go or if you consume a public cloud service there is a high risk that you again get locked in a silo because every public cloud is offering their own APIs. You also need to find out which selection is the right one And then just the reality ninety percent of our workloads are still running in a data center and they need to scale up and down very efficiently. So for all those areas we have to find the right sizing. So summing up flexibility means of course I want to have a freedom of choice in the technology I consume but I want to have a consistent experience. As an end user I don't care my application is running but as an IT business I have to care whether it's running for the best price, it's running for data security and privacy concerns and where can I run it most efficient? And of course that also means I need to optimize my infrastructure too. Here's another survey from IDC where they asked a couple of IT leaders and what they really find out and I think I already said that cloud first is a mandate. Almost one hundred percent saying they have an executive mandate to leverage cloud technology, so cloud first is there. But also ninety percent of them say they plan to deploy private cloud on premise. So I think both arguments are a strong indication that the way going forward is a multi cloud smart orientated strategy and it's all about that consistent experience. As I said, the end user, the departmental, the people, they don't care. They want the best service, the fastest go to market, they want to have the best products and IT, just like a virtualization layer, needs to figure out where to place, where to avoid hiccups and to bring the right workloads to the right place. Another question that we did, we asked the IT people where is the greatest priority you have today compared to a year ago. And of course, and I think that's also not a surprise, cost savings or efficiency and I want to highlight the terms are. So either save money or be more efficient. It comes both together that's the most important and also of course revenue and productivity increasement, but we see there is a huge need for optimization out there. So optimized outcomes are always in a way where IT works together with applications team, where some infrastructure can grow and shrink on the need, maybe the payment terms, maybe pay as you use models, so it's all around flexibility. It's not really around the location. But let's think a little bit how can I achieve that? Let me draw this quadrant where we have traditional workloads, we have emerging workloads or modernized workloads, we have the public and the private cloud. Initially, most of our workloads are traditional mainframe based, UNIX based, whatever running on my private cloud might be even VMware workloads virtualized and the perception is that all of those workloads are now moving in a modernized public cloud environment and by looking at the real facts we find out that's not true. So still the majority of those workloads, so sixty percent of the workloads, will just stay where they are. They stay in the data center running on systems but a vast or let's say a big amount, twenty five percent will get modernized and moved maybe even to the public cloud. Only a couple of traditional workloads are moved to the public cloud and also some of the traditional workloads were just modernized running on the private cloud. So it's really a mixture. Every four aspects have their own value or their own meaning. So what actions do we need to take? And depends, like almost in IT, it depends. Do I need to invest? Do I need to tolerate my sprawl? Is there a decommission required? Let's take a look what can we do. So of course the application we can just purchase a new one, replace my customer relation management with a new one or refactor, redo it. I might also want to consider just running it on a new platform. I bring my application to a new platform or I decide to re host my applications or just bring it on a different infrastructure or even decide to run that on my system that I've been there for years and just modernize the system. Finally I also have the option to retire, find out this application is not longer necessary, there are better solutions, I just want to get rid of that. And you see those are four different approaches you can take and those approaches bring different investigations or different ways how to handle that into play and at the end the application and that decision they decide where to run my business. Let's find out. So repurchase, I decide to buy a new CRM. This is probably a very good solution to consume that as a software as a service. Think of Office three sixty five. So all the applications that are important to you but that are not business critical and don't make the advantages that your company has compared to others. It's just the baseline. It needs to run and you want to have the best solution and don't care much. Then refactor or replatform. This is probably a good solution for PaaS or CAAS services. So to bring as much as you can outside of your data center or outside of your way of doing that but you still consume it as a platform as a service. So you still use that platform but you consume it as a service or your end users are consuming that as a service. Finally, about those that are re hosted or retained? They are probably a very good solution for infrastructure as a service. Just consume infrastructure the way you need it maybe in your data center, maybe you do it yourself, just consume the payment terms or you let it run by some others and for everything that you retain there's really a big chance of just modernizing your infrastructure. So get more elegant storage systems, on servers and virtualization, modernize on your data center networking, really make it cloud ready of course and finally if you retain then you retain and you see everything from the infrastructure as a layer on top to platform as a service can be in the public cloud and can be in the private cloud. So both ways are possible and it's really a decoupled decision that you have to take. We as Dell Technologies, we are of course here to help you as our customers to find the right fit for the right solution, and we do that by consistent cloud operating models. So we help with private hybrid cloud, with public multi cloud and edge cloud operations and we do that with partners like VMware, like NVIDIA, like Stonebranch to really help you right placing the applications and your workload wherever you want to have it. Then we help you that your experience is the same on all the platforms. We do that by the buying experience, by provisioning experience, by support experience. So the north star really is in your data center and on AWS and on Azure for you the way to approach and to consume it is very very similar. Probably not exactly the same but it's very very similar. And then of course for everything that you need to modernize there are new ways of doing storage, there are new ways of doing networking, there are new ways of delivering workspace experiences to your team members and we help with our support services too. So there's no need to fear on a consistent cloud smart experience. There are a lot of experts out there to help and I think that's really important to be future ready. So as an organization, I ready for what comes next? Am I ready for cloud smart? Let me summarize that. I want to have the freedom of choice by flexible consumption, by scaling up and scaling down but also having integrations. I want to have the consistent cloud experience in the hybrid cloud I want to use familiar tools, maybe some VMware workloads that I already had and I want to have experts helping me. And finally, I want to optimize. I want to generate optimized outcomes by application development, by modernizing my infrastructure, and last but definitely not least, I want to have security built in. It's getting more and more complex so we need to ensure that in everything we do there is a common mindset of security. Yeah well, that's my part on an introduction on hybrid cloud and please remember it's not cloud first, it's cloud smart and the role that StoneBranch can play and how that all fits together. I will now hand over to Niels Boer. He will explain you more in detail what StoneBranch can do to help you here. So thank you for having me and over to you Niels. Thanks a lot, Roland, for the very nice introduction to how to master your hybrid IT in a multi cloud world. Actually, I like a lot these terms smart cloud or cloud smart, as you say. And I think, really, what I've learned from your presentation is that hybrid cloud is really the way forward in the data area. What does it mean for StoneBranch as an automation vendor? So what we provide is basically a central platform. Let me switch to the next slide. So it's a central platform that really can take on these service orchestration automation challenges in such an heterogeneous environment consisting of multiple cloud providers. You said you still need to support the on premise data centers. This will, of course, not go. And also, what we are also seeing is that we also need to, let's say, run workloads on, let's say, containerized environments, which are also running in the cloud. So what we have built is a central platform that can orchestrate your IT processes from on premise to cloud to containerized microservices. And in this slide, I put some of the key elements of our platform, the Universal Automation Center, together. So first of all, I think for most of the audience who are also doing scheduling with our platform, is that you will have now the workflow spanning over multiple environments. As you said, it can be public cloud, private cloud environments, on premise, can be containerized environments, and you will have workflows that need data from all these environments and maybe end up, let's say, in an SAP system. So we really need to have these workflows that span over different environments. The second thing is self-service. So when you look at these new cloud environments, then you will have a lot of different people accessing your platform. So, you need to have a self-service solution that really is tailored to the people who are using it. So, for example, if you're an SAP application user, you might want to set up your SAP processes. But if you're, let's say, someone who rolls out, let's say, virtual machines, it should be a completely different look and feel of the user interface. So this is why our user interface can really be tailored to the customer or to the operator who uses it. The next thing is infrastructure. So, when we deal with cloud solutions, it's not enough, let's say, to do classical scheduling: start a job here at twelve o'clock. What you also need to deal is with the infrastructure. A good example is, for example, as soon as you have something like an OpenShift environment running on Kubernetes, you might want to start pods just for, let's say, managing the task, and once the task is over, you might want to delete this pod again. Or you want to spin up quickly a virtual machine in VMware. So for this, we have a new VMware task. I think it's also presented in some other webinar here, we show where you can roll out your VMs, you can stop the VMs, or you can even remove them after you've used them. The other thing is, and I think this comes as one of the key points, is managing your data pipeline. Especially when you start, let's say, using the cloud, you will have lots of data also still on premise or generated somewhere else, not directly in the cloud. So, your new cloud applications, maybe which you've just started, need data from these on premise applications. So, you need to really have a solution that can transfer your data between the different cloud providers, but also between on premise and cloud. And we even have customers that transfer data from the mainframe into an application running in the cloud. So, for example, to a web portal. So this data pipeline is really something which is crucial and you need to have a good solution, and I will also demo this soon in this webinar to you how this works. Analytics and visibility is key, because you can imagine if you have, let's say, all three public cloud providers, maybe Amazon, Azure, and Google, and you might have some private cloud provider from IBM, some IBM Cloud, and you have your, of course, still your server landscape, which will for sure not go completely away, I guess, then you need to have an analytics solution that allows you to maintain your SLAs, to watch them, to monitor your entire solution, and also to be audit compliant, because the auditor doesn't care that you have twenty different systems. You want to have one central platform that can audit your entire process. I think this will touch up to, let's say, view will decrease your setup time for new processes and also, let's say, handling can be reduced because you have a central view. And the last thing is event based. So, what I've learned also in many of these cloud projects which we are doing at the moment: time based scheduling or time based automation is really not what you need. You need something that really is fully event based. And when I mean event based, it's not just a file arrive start a process. This, of course, you still need, but you need things like: you subscribe to a webhook and then when the web event happens, then you start the process. Or the other thing is, which we have one customer that uses Amazon SQS message queues, so we start, for example, a sales process as soon as the message arrives in the Amazon SQS queue. So really, this event driven automation is something which is very important and we are covering it very nicely in our platform. Just one quick slide, then I will also show you some nice demo. So how does it all work in our product or in our solution? It's actually everything is real time based in our product. So we don't have any of course, you can still do time based scheduling, that's still, of course, supported. Some processes you might even want to still time based schedule. But you can also do all the stuff event based, as I already said. The web web service based triggers or, triggered from an and you can also trigger the task based on emails. So any kind of events you can think of, you can use for triggering your automation flows. And then everything is centralized controlled. So we have one single Web GUI, which runs on any browser and runs in a sync client, you don't need to install anything. However, what's important, this Web GUI or, let's say, our platform itself can connect to also different other tools. So for example, if you have a failure in one of your jobs, then you might want to open a ticket directly in ServiceNow. So it's important that you have your central Web GUI, but this central Web GUI should also interact with all major important products which you have at the moment. Low code user interface. This is important for, let's say, if you have business users, they, of course, don't want to code something, they want to just set up their stuff by themselves using our GUI with drag and drop functionality and don't want to put in any code. So this is something which is also key to support. And what I'm seeing as a very important feature, as soon as you deal with these bigger cloud environments, you need to support DevOps Lifecycle Management. Because you quickly want to run or want to launch new products, you quickly need to set up new scenarios. And for those, let's say, quick time to market products, I think you need a DevOps lifecycle with full lifecycle management and also you need to, let's say, promote your configurations to different landscapes. So for this, we have now integration, for example, to GitHub. Then we have the integrations. So when you deal mean, what Roland also said in his speech was, of course, you have the different cloud providers, but you have also all the different cloud applications. So whether it is Salesforce, but the same thing we have also now in SAP. So also SAP has now their S4HANA in the cloud, operated as software as a service. Or you have, for example, Informatica Cloud or Microsoft Power BI, which I will also show you in the in the demo. So this is all integrations which we need to support when we go into the cloud, and there our product is very strong, we have just launched an integration hub where you can download the integration you require. And if you don't have it, then you can request it. Flexible deployment is nice and also important. So we, of course, still have a lot of customers that say they deploy our software on premise, but you can also deploy it by yourself in the cloud or you can use also our software as a service solution. The good thing is, even if you use our software as a service solution, you could be, in a very quick time, deploy it back to your on premise. So we have this security that you can really risk for use in cloud and also in case of an emergency, quickly bring it back to your on premise, if you want. Then web based application. So, as I said, the whole solution is web based, runs in an Apache Tomcat web server and our agent even runs on OpenShift. Okay, I think this was enough on slide share. All right, everybody. So we have our first question for the audience. So as we talk about this multi cloud environment, right, let's take the pulse in the room and figure out how many of you are dealing with using public cloud providers as part of your IT strategy today. There's some more people answering. I'll close the poll, you'll be able to see the answers to the poll in the poll section, so if you click on that tab right next to Q and A, you'll see that. But what I'm seeing right now is that the majority of you have between two to three cloud providers, chances are that's the big ones, right? So Nils, how does that match to what you're seeing out there amongst the customers and the prospects? Yeah, actually this matches exactly also to my experience and also the projects which I did during the last two years. Some of them I would say most of them started with one cloud provider, for example, like Amazon or Asia. But now, if I'm looking now at the same customers, I think all of them have more or less all the three cloud providers and they even have, in many cases, a private cloud provider. So I think it matches also what Roland printed in his presentation. So you really need a solution that covers this multi cloud landscape, not just one cloud, not one cloud provider. Actually, I'm happy that this came out in the poll, because this is exactly what I want to show you, because I talked a lot about our platform. Now I think I also want to show you how you can really integrate with different cloud providers with our platform. And for this, I will show you one example. In this example, I will show you how you can transfer data between any private or public cloud provider. And when I say transfer, it's not the classical transfer, it's really streaming. So that means, if you, for example, send data from Amazon to Asia, then you're not storing something in between. So you're directly streaming from one bucket, for example, from Amazon S3 bucket to an Asia container. Or you're streaming in between Amazon, for example, from one Amazon bucket to another Amazon bucket. And they might be even in different accounts. So the nice thing is, if you, for example, stream inside Amazon, it's very fast. So it's almost like no delay, even if you send big data files. Then actually, I will also show you that we can also not just stream between buckets and containers, but also we support the different applications. For example, I think the most important one, at least what I'm seeing at the moment, is for example SharePoint. So people need to transfer data from SharePoint to a cloud bucket or from a cloud bucket to SharePoint. But of course, we support also other applications. I have this in the next slide. And the key thing is actually here streaming. So, no intermediate storage between the different cloud storage buckets. Yeah, so this is just an example of some of the cloud applications which we support. So you see we support, let's say, like Amazon Drive, Blaze B2 Box, Dropbox, so all the, let's say, all the major ones, I think we support. If there's something which would which we not support and you have, then I think we could integrate it. Okay, so one last question before I jump to the demo. Okay, so when Niels was talking about streaming, without intermediaries in real time between place A and place B, how many of you stream data across various cloud providers today? So do you stream it or do you not? So yes or no question, let's give our audience maybe ten to fifteen seconds. So let me close out the poll again, see the results in the Polls tab, and what I'm seeing is more than half of you said no, so the next part of this presentation will be the demo. I'll give you a chance to see how it can be done. For those of you who said yes, that will give you just an opportunity to see possibly yet another way. Right, Nels? Yeah, very good. So then I will explain to you actually or give you a demo how we, let's say, stream data between the different cloud providers, which is one part of our platform. So let me share my screen. Okay, so I think you are seeing now my screen. This is our Universal Automation Center. I've already logged into the Universal Automation Center with my user. So, it runs actually in the cloud, of course, HTTPS secured, and I can log in via SAML authentication. So this is to secure the connection. So when you see this, our Universal Automation Center, it's actually very simple to use. So it's not complex like some schedulers where you have to install many servers and those things. It's just a single server and you have the single GUI. And actually, the entities, what you need to know to operate, is very simple. So we have basically the tasks. So for example, you wanna start, for example, a Linux job or you wanna start a Windows job or a job on a mainframe, or you want to run an SAP batch process, run an SQL statement. So here are all the different tasks which you want to run. You can also run, let's say, specific tasks for applications, for example, for Asia, for Google, for the different products, for Informatica, for Power BI. I think we have like one hundred and thirty different integrations which you can use to run tasks. Then you can put these tasks into workflows and, let's say, model your IT process with these tasks. Finally, you can start these tasks. For this, you have triggers. The nice thing with our solution is that tasks and triggers are different entities. So they are completely different objects, so you would never have to duplicate a task. You can take the same task definition and start it with different triggers. So maybe start one at five o'clock and another task start when a file arrives. As I said, the triggers, we have all kinds of triggers: email triggers, file triggers, web message triggers from a webhook, or maybe Amazon SQS message triggers, or other triggers. Finally, when a task is running, it becomes a task instance. So one special task which I want to show to you now is the file transfer task, where I can stream data between the different cloud providers. It's just a single task. It's called the intercloud data transfer task. And I've created a small dashboard for this. So these dashboards you can design by yourself. Every user can have their own dashboards, or every group can have their own dashboards. And, of course, you will only see in those dashboards the tasks where you have access rights to. So let's have a look at one of these tasks. So this is a task, actually, that copies data from Linux to Amazon S3. So the task is always the same. You choose the action. So the action can be list directory, copy a file, list objects, move objects, remove objects, remove objects, store. Actually, it uses this cloud terminology. So when it says objects, you can think of a file. When it says object store, you can think of a directory. In this case, I want to copy data from my Linux. This is my source. And this is the source directory. I want to copy into the Amazon S3 object store, and there I want to copy it to this bucket and this folder in the object store. Then I say what I want to copy. In this case, you can put very complex filters with include, exclude. You can give rules, only copy the files older than three hours, or only copy files of a certain size. There are hundreds of rules which you can set up. In this case, I just said copy all the files, starting with reporting three or four and ending with TXT. You always have the possibility of a dry run option. That means, you can test your file transfer before you start it. The nice thing with this testing is, it will test also the bandwidth, so you know exactly how long this file transfer would look like if you would run it now. Okay, let me run this file transfer so I will just launch it. I have here also you see it's running. While it's running, you see actually how much is transferred. And you see everything was transferred, you see the transfer rate, you see the source and target, it shows you the start time, you have statistic information like lowest run time, average run time, the highest estimated run time we expect for this task, so some statistical information, and the data has been transferred. So what I can do is, just I can just look it up. So I can go to my Amazon S3 Explorer. And you can see here the reports have been transferred. So everything was fine. Yeah, so this was, let's say, a more classical task transfer from a server to a Linux. Now I want to transfer a bit more complicated or more, not complicated, more, let's say, more sophisticated, let's call it. So I want to copy some data from, in this case, Amazon S3, to Microsoft Azure Blob Storage. And I transfer from the stonebench pm bucket folder in, and transfer to the container in the azure stonebench pm. So the concept is always the same. It's very simple. You just give the source type, so you can choose of one of these thirty systems which we have. Then you choose the source bucket or source directory in case of a local file and the targets bucket or target directory. And then you say, give the filter rules. In this case, I want to transfer everything starting with report four. And then you start it. And you see this was pretty quick. You can see cloud to cloud. Even if it's Amazon in Asia, it's very quick. So it took just two seconds to transfer the files. Yeah. So now you've seen that you can transfer or stream between different cloud providers. And what you can also do is you can also stream between a cloud provider and an application. In this case, I'm transferring data from my Microsoft Azure storage to a OneDrive, a SharePoint folder in SharePoint. Actually, Microsoft internally calls SharePoint still OneDrive Professional, so this is why I call it tier OneDrive. But this is actually SharePoint. And the folder is the SharePoint this is my folder where I want to copy these files, these reports to. So in this case, I copy from Asia to a SharePoint folder. Let's launch this. You see it's running. This takes a bit longer because my SharePoint is a bit slow. So Microsoft doesn't have the best. So you see it's only one megabyte per second. So now I've transferred it to SharePoint. I can get a link to see if it's really there. And as you can see, there is a report which I've just transferred. So I've transferred from Asia bucket to a SharePoint folder. Okay, so now, what I want to do is I want to show you some of course, can show you a lot of more scenarios. I can move data between different Amazon accounts, also different Amazon regions. That's no problem. Everything is streamed, no intermediate storage. But now I want to show you one last case, because this looks a bit nicer, I would say. So I will start a workflow, and I will show you what this workflow does. Just give me one second. Second. Fire transfer dashboard. So I just go back to my dashboard. Yeah. So what I have here, I have Power BI. So I have a Power BI dashboard. I hope you can see it. And this Power BI online dashboard shows a company that launches one product, it's called Product Forward. You can see it is launched in all kinds of different regions in the world. Now I want to update this Power BI dashboard automatically from a SharePoint folder. So if someone puts new sales data in a SharePoint folder on his laptop, then you want to update this Power BI dashboard which runs in the company headquarter, for example. In this case, the company has launched new products, so I will see hopefully new products have been launched soon when I do the update. What my file transfer workflow does, which I've been setting up, it monitors, first of all, for new data in SharePoint. So it checks, actually. It's again the same task. It checks in SharePoint in this directory for the file salesdata. Csv. If the data is there, then it transfers the data from actually my SharePoint folder to my Asia storage container called Sales. That's the container I'm transferring the data to. And then, actually, I start the task. And this is another nice integration task we built. This task actually refreshes automatically the data set products per city in the group three. The nice thing about this task is that it's interactive. So that means, if you select, for example, in Power BI, press this button here, press this loop, it will show you retrieve from Power BI all the different groups. Once you have selected a group, you can press this loop here and it will retrieve all the different data sets in Power BI. So it's the bidirectional interface And this is what we can do now with all our integrations. So all the integrations we can build bidirectional. So this one will just refresh in group three the product specificity as soon as the data is there. Okay, now let me go to my SharePoint. So here's my SharePoint folder. So I will upload now the new sales data to it. Here is my new sales data. So I'm the sales guy. Let's check. Ah, there it is. So I go now back to my controller. And the monitor will now identify that new sales data has been uploaded. As soon as he finds it, you see it finds it already, it will start the transfer from the SharePoint folder to Asia. And once it's in Asia, then I will do the Power BI refresh of the data. So let me go to Power BI and see if something happens already. Let me click if already the data has been refreshed. I think I need to click again. So now you can see now the data has been updated. So what the workload did, actually, it then refreshed the Power BI dashboard automatically after you put some data on your laptop in your SharePoint folder. So this is what I wanted to show you about Data Cloud data transfer task. So let me summarize. You can transfer files, let's say, between any cloud provider, independent if it's a private cloud provider, public cloud provider. The transfer is done in a streaming mode, so no intermediate storage. And what you can also do is you can transfer data between any of the cloud applications. What I've not shown you is that we also support Hadoop file transfers with these tasks. So you can transfer data to an HDFS cluster if you want. That's also no problem. Let's switch At this point, we will go to our Q and A. Some of you already submitted questions. For those of you who still want to ask something, please use the Q and A panel. So my first question as we go into the Q and A would actually be for Roland. Roland, as you were talking about being cloud smart and I started the presentation with this dichotomy that we're seeing across businesses where everybody wants to be modernized, right? You have the data center businesses that are trying to sometimes tiptoe and do small changes, but across everything to bring them up to speed and they don't get to where they need to be, and then you have other businesses that go all in with a cloud but yet create new silos. Do you see this dichotomy out there? Do you have to help people find that balance of being cloud smart? Yeah, that's great question, Nadia, and honestly, I see both ways and it's also a little bit different from a country by country view. We see that almost everybody has a mandate to go to the cloud, whatever that means, And we then see as a second wave sometimes that some financial KPIs don't really came out good if you go totally into some public cloud. We see it both ways. And on the other hand, I also know a lot of organizations that are just not ready organizational wise to make use of the advantages of having multi clouds pipelines. So yeah, it's very mixed and it depends and you also cannot really tell that, say, one industry is more advanced than the other. I kind of have the feeling that some countries are a little bit more advanced than the other. That's just my personal opinion on that. Thank you very much. So our next question, I think, Nils, that would be for you And the question is this: so you were talking about multiple cloud providers and the question is: does StoneBranch support all the cloud providers? And as a follow-up, what about private cloud providers? Yeah, So, support all the different cloud providers. If it's Asia, Google, Amazon, IBM cloud, so the public ones. I think this is key, of course. You cannot have a solution, let's say, without having the top three supported. But we also support the private cloud providers like MinIO. So MinIO is used by many companies. That was one of the first integrations we built. Also, IBM Cloud is used by some of our customers. So, for you, it doesn't matter if you have a private cloud or a public cloud. This is fully supported by our system. I really don't have any more questions for today, so I guess we will close out the session. Thank you so much for your time. This is Stonebranch Online and I'm Nadia Davis.