Kubernetes on Any Infrastructure Top to Bottom Tutorials for Docker Enterprise Container Cloud
>>all right, We're five minutes after the hour. That's all aboard. Who's coming aboard? Welcome everyone to the tutorial track for our launchpad of them. So for the next couple of hours, we've got a SYRIZA videos and experts on hand to answer questions about our new product, Doctor Enterprise Container Cloud. Before we jump into the videos and the technology, I just want to introduce myself and my other emcee for the session. I'm Bill Milks. I run curriculum development for Mirant us on. And >>I'm Bruce Basil Matthews. I'm the Western regional Solutions architect for Moran Tissue esa and welcome to everyone to this lovely launchpad oven event. >>We're lucky to have you with us proof. At least somebody on the call knows something about your enterprise Computer club. Um, speaking of people that know about Dr Enterprise Container Cloud, make sure that you've got a window open to the chat for this session. We've got a number of our engineers available and on hand to answer your questions live as we go through these videos and disgusting problem. So that's us, I guess, for Dr Enterprise Container Cloud, this is Mirant asses brand new product for bootstrapping Doctor Enterprise Kubernetes clusters at scale Anything. The airport Abu's? >>No, just that I think that we're trying Thio. Uh, let's see. Hold on. I think that we're trying Teoh give you a foundation against which to give this stuff a go yourself. And that's really the key to this thing is to provide some, you know, many training and education in a very condensed period. So, >>yeah, that's exactly what you're going to see. The SYRIZA videos we have today. We're going to focus on your first steps with Dr Enterprise Container Cloud from installing it to bootstrapping your regional child clusters so that by the end of the tutorial content today, you're gonna be prepared to spin up your first documentary prize clusters using documented prize container class. So just a little bit of logistics for the session. We're going to run through these tutorials twice. We're gonna do one run through starting seven minutes ago up until I guess it will be ten fifteen Pacific time. Then we're gonna run through the whole thing again. So if you've got other colleagues that weren't able to join right at the top of the hour and would like to jump in from the beginning, ten. Fifteen Pacific time. We're gonna do the whole thing over again. So if you want to see the videos twice, you got public friends and colleagues that, you know you wanna pull in for a second chance to see this stuff, we're gonna do it all. All twice. Yeah, this session. Any any logistics I should add, Bruce that No, >>I think that's that's pretty much what we had to nail down here. But let's zoom dash into those, uh, feature films. >>Let's do Edmonds. And like I said, don't be shy. Feel free to ask questions in the chat or engineers and boosting myself are standing by to answer your questions. So let me just tee up the first video here and walk their cost. Yeah. Mhm. Yes. Sorry. And here we go. So our first video here is gonna be about installing the Doctor Enterprise Container Club Management cluster. So I like to think of the management cluster as like your mothership, right? This is what you're gonna use to deploy all those little child clusters that you're gonna use is like, Come on it as clusters downstream. So the management costs was always our first step. Let's jump in there >>now. We have to give this brief little pause >>with no good day video. Focus for this demo will be the initial bootstrap of the management cluster in the first regional clusters to support AWS deployments. The management cluster provides the core functionality, including identity management, authentication, infantry release version. The regional cluster provides the specific architecture provided in this case, eight of us and the Elsie um, components on the UCP Cluster Child cluster is the cluster or clusters being deployed and managed. The deployment is broken up into five phases. The first phase is preparing a big strap note on this dependencies on handling with download of the bridge struck tools. The second phase is obtaining America's license file. Third phase. Prepare the AWS credentials instead of the adduce environment. The fourth configuring the deployment, defining things like the machine types on the fifth phase. Run the bootstrap script and wait for the deployment to complete. Okay, so here we're sitting up the strap node, just checking that it's clean and clear and ready to go there. No credentials already set up on that particular note. Now we're just checking through AWS to make sure that the account we want to use we have the correct credentials on the correct roles set up and validating that there are no instances currently set up in easy to instance, not completely necessary, but just helps keep things clean and tidy when I am perspective. Right. So next step, we're just going to check that we can, from the bootstrap note, reach more antis, get to the repositories where the various components of the system are available. They're good. No areas here. Yeah, right now we're going to start sitting at the bootstrap note itself. So we're downloading the cars release, get get cars, script, and then next, we're going to run it. I'm in. Deploy it. Changing into that big struck folder. Just making see what's there. Right now we have no license file, so we're gonna get the license filed. Oh, okay. Get the license file through the more antis downloads site, signing up here, downloading that license file and putting it into the Carisbrook struck folder. Okay, Once we've done that, we can now go ahead with the rest of the deployment. See that the follow is there. Uh, huh? That's again checking that we can now reach E C two, which is extremely important for the deployment. Just validation steps as we move through the process. All right, The next big step is valid in all of our AWS credentials. So the first thing is, we need those route credentials which we're going to export on the command line. This is to create the necessary bootstrap user on AWS credentials for the completion off the deployment we're now running an AWS policy create. So it is part of that is creating our Food trucks script, creating the mystery policy files on top of AWS, Just generally preparing the environment using a cloud formation script you'll see in a second will give a new policy confirmations just waiting for it to complete. Yeah, and there is done. It's gonna have a look at the AWS console. You can see that we're creative completed. Now we can go and get the credentials that we created Today I am console. Go to that new user that's being created. We'll go to the section on security credentials and creating new keys. Download that information media Access key I D and the secret access key. We went, Yeah, usually then exported on the command line. Okay. Couple of things to Notre. Ensure that you're using the correct AWS region on ensure that in the conflict file you put the correct Am I in for that region? I'm sure you have it together in a second. Yes. Okay, that's the key. Secret X key. Right on. Let's kick it off. Yeah, So this process takes between thirty and forty five minutes. Handles all the AWS dependencies for you, and as we go through, the process will show you how you can track it. Andi will start to see things like the running instances being created on the west side. The first phase off this whole process happening in the background is the creation of a local kind based bootstrapped cluster on the bootstrap node that clusters then used to deploy and manage all the various instances and configurations within AWS. At the end of the process, that cluster is copied into the new cluster on AWS and then shut down that local cluster essentially moving itself over. Okay. Local clusters boat just waiting for the various objects to get ready. Standard communities objects here Okay, so we speed up this process a little bit just for demonstration purposes. Yeah. There we go. So first note is being built the best in host. Just jump box that will allow us access to the entire environment. Yeah, In a few seconds, we'll see those instances here in the US console on the right. Um, the failures that you're seeing around failed to get the I. P for Bastian is just the weight state while we wait for a W s to create the instance. Okay. Yes. Here, beauty there. Okay. Mhm. Okay. Yeah, yeah. Okay. On there. We got question. Host has been built on three instances for the management clusters have now been created. We're going through the process of preparing. Those nodes were now copying everything over. See that? The scaling up of controllers in the big Strap cluster? It's indicating that we're starting all of the controllers in the new question. Almost there. Yeah. Yeah, just waiting for key. Clark. Uh huh. Start to finish up. Yeah. No. What? Now we're shutting down control this on the local bootstrap node on preparing our I. D. C. Configuration. Fourth indication, soon as this is completed. Last phase will be to deploy stack light into the new cluster the last time Monitoring tool set way Go stack like to plan It has started. Mhm coming to the end of the deployment Mountain. Yeah, America. Final phase of the deployment. Onda, We are done. Okay, You'll see. At the end they're providing us the details of you. I log in so there's a keeper clogging. You can modify that initial default password is part of the configuration set up with one documentation way. Go Councils up way can log in. Yeah, yeah, thank you very much for watching. >>Excellent. So in that video are wonderful field CTO Shauna Vera bootstrapped up management costume for Dr Enterprise Container Cloud Bruce, where exactly does that leave us? So now we've got this management costume installed like what's next? >>So primarily the foundation for being able to deploy either regional clusters that will then allow you to support child clusters. Uh, comes into play the next piece of what we're going to show, I think with Sean O'Mara doing this is the child cluster capability, which allows you to then deploy your application services on the local cluster. That's being managed by the ah ah management cluster that we just created with the bootstrap. >>Right? So this cluster isn't yet for workloads. This is just for bootstrapping up the downstream clusters. Those or what we're gonna use for workings. >>Exactly. Yeah. And I just wanted to point out, since Sean O'Mara isn't around, toe, actually answer questions. I could listen to that guy. Read the phone book, and it would be interesting, but anyway, you can tell him I said that >>he's watching right now, Crusoe. Good. Um, cool. So and just to make sure I understood what Sean was describing their that bootstrap er knows that you, like, ran document fresh pretender Cloud from to begin with. That's actually creating a kind kubernetes deployment kubernetes and Docker deployment locally. That then hits the AWS a p i in this example that make those e c two instances, and it makes like a three manager kubernetes cluster there, and then it, like, copies itself over toe those communities managers. >>Yeah, and and that's sort of where the transition happens. You can actually see it. The output that when it says I'm pivoting, I'm pivoting from my local kind deployment of cluster AP, I toothy, uh, cluster, that's that's being created inside of AWS or, quite frankly, inside of open stack or inside of bare metal or inside of it. The targeting is, uh, abstracted. Yeah, but >>those air three environments that we're looking at right now, right? Us bare metal in open staff environments. So does that kind cluster on the bootstrap er go away afterwards. You don't need that afterwards. Yeah, that is just temporary. To get things bootstrapped, then you manage things from management cluster on aws in this example? >>Yeah. Yeah. The seed, uh, cloud that post the bootstrap is not required anymore. And there's no, uh, interplay between them after that. So that there's no dependencies on any of the clouds that get created thereafter. >>Yeah, that actually reminds me of how we bootstrapped doctor enterprise back in the day, be a temporary container that would bootstrap all the other containers. Go away. It's, uh, so sort of a similar, similar temporary transient bootstrapping model. Cool. Excellent. What will convict there? It looked like there wasn't a ton, right? It looked like you had to, like, set up some AWS parameters like credentials and region and stuff like that. But other than that, that looked like heavily script herbal like there wasn't a ton of point and click there. >>Yeah, very much so. It's pretty straightforward from a bootstrapping standpoint, The config file that that's generated the template is fairly straightforward and targeted towards of a small medium or large, um, deployment. And by editing that single file and then gathering license file and all of the things that Sean went through, um, that that it makes it fairly easy to script >>this. And if I understood correctly as well that three manager footprint for your management cluster, that's the minimum, right. We always insist on high availability for this management cluster because boy do not wanna see oh, >>right, right. And you know, there's all kinds of persistent data that needs to be available, regardless of whether one of the notes goes down or not. So we're taking care of all of that for you behind the scenes without you having toe worry about it as a developer. >>No, I think there's that's a theme that I think will come back to throughout the rest of this tutorial session today is there's a lot of there's a lot of expertise baked him to Dr Enterprise Container Cloud in terms of implementing best practices for you like the defaulter, just the best practices of how you should be managing these clusters, Miss Seymour. Examples of that is the day goes on. Any interesting questions you want to call out from the chap who's >>well, there was. Yeah, yeah, there was one that we had responded to earlier about the fact that it's a management cluster that then conduce oh, either the the regional cluster or a local child molester. The child clusters, in each case host the application services, >>right? So at this point, we've got, in some sense, like the simplest architectures for our documentary prize Container Cloud. We've got the management cluster, and we're gonna go straight with child cluster. In the next video, there's a more sophisticated architecture, which will also proper today that inserts another layer between those two regional clusters. If you need to manage regions like across a BS, reads across with these documents anything, >>yeah, that that local support for the child cluster makes it a lot easier for you to manage the individual clusters themselves and to take advantage of our observation. I'll support systems a stack light and things like that for each one of clusters locally, as opposed to having to centralize thumb >>eso. It's a couple of good questions. In the chat here, someone was asking for the instructions to do this themselves. I strongly encourage you to do so. That should be in the docks, which I think Dale helpfully thank you. Dale provided links for that's all publicly available right now. So just head on in, head on into the docks like the Dale provided here. You can follow this example yourself. All you need is a Mirante license for this and your AWS credentials. There was a question from many a hear about deploying this toe azure. Not at G. Not at this time. >>Yeah, although that is coming. That's going to be in a very near term release. >>I didn't wanna make promises for product, but I'm not too surprised that she's gonna be targeted. Very bracing. Cool. Okay. Any other thoughts on this one does. >>No, just that the fact that we're running through these individual pieces of the steps Well, I'm sure help you folks. If you go to the link that, uh, the gentleman had put into the chat, um, giving you the step by staff. Um, it makes it fairly straightforward to try this yourselves. >>E strongly encourage that, right? That's when you really start to internalize this stuff. OK, but before we move on to the next video, let's just make sure everyone has a clear picture in your mind of, like, where we are in the life cycle here creating this management cluster. Just stop me if I'm wrong. Who's creating this management cluster is like, you do that once, right? That's when your first setting up your doctor enterprise container cloud environment of system. What we're going to start seeing next is creating child clusters and this is what you're gonna be doing over and over and over again. When you need to create a cluster for this Deb team or, you know, this other team river it is that needs commodity. Doctor Enterprise clusters create these easy on half will. So this was once to set up Dr Enterprise Container Cloud Child clusters, which we're going to see next. We're gonna do over and over and over again. So let's go to that video and see just how straightforward it is to spin up a doctor enterprise cluster for work clothes as a child cluster. Undocumented brands contain >>Hello. In this demo, we will cover the deployment experience of creating a new child cluster, the scaling of the cluster and how to update the cluster. When a new version is available, we begin the process by logging onto the you I as a normal user called Mary. Let's go through the navigation of the U I so you can switch. Project Mary only has access to development. Get a list of the available projects that you have access to. What clusters have been deployed at the moment there. Nan Yes, this H Keys Associate ID for Mary into her team on the cloud credentials that allow you to create access the various clouds that you can deploy clusters to finally different releases that are available to us. We can switch from dark mode to light mode, depending on your preferences, Right? Let's now set up semester search keys for Mary so she can access the notes and machines again. Very simply, had Mississippi key give it a name, we copy and paste our public key into the upload key block. Or we can upload the key if we have the file available on our local machine. A simple process. So to create a new cluster, we define the cluster ad management nodes and add worker nodes to the cluster. Yeah, again, very simply, you go to the clusters tab. We hit the create cluster button. Give the cluster name. Yeah, Andi, select the provider. We only have access to AWS in this particular deployment, so we'll stick to AWS. What's like the region in this case? US West one release version five point seven is the current release Onda Attach. Mary's Key is necessary Key. We can then check the rest of the settings, confirming the provider Any kubernetes c r D r I p address information. We can change this. Should we wish to? We'll leave it default for now on. Then what components? A stack light I would like to deploy into my Custer. For this. I'm enabling stack light on logging on Aiken. Sit up the retention sizes Attention times on. Even at this stage, at any customer alerts for the watchdogs. E consider email alerting which I will need my smart host details and authentication details. Andi Slack Alerts. Now I'm defining the cluster. All that's happened is the cluster's been defined. I now need to add machines to that cluster. I'll begin by clicking the create machine button within the cluster definition. Oh, select manager, Select the number of machines. Three is the minimum. Select the instant size that I'd like to use from AWS and very importantly, ensure correct. Use the correct Am I for the region. I commend side on the route device size. There we go, my three machines obviously creating. I now need to add some workers to this custom. So I go through the same process this time once again, just selecting worker. I'll just add to once again, the AM is extremely important. Will fail if we don't pick the right, Am I for a boon to machine in this case and the deployment has started. We can go and check on the bold status are going back to the clusters screen on clicking on the little three dots on the right. We get the cluster info and the events, so the basic cluster info you'll see pending their listen cluster is still in the process of being built. We kick on, the events will get a list of actions that have been completed This part of the set up of the cluster. So you can see here we've created the VPC. We've created the sub nets on We've created the Internet gateway. It's unnecessary made of us and we have no warnings of the stage. Yeah, this will then run for a while. We have one minute past waken click through. We can check the status of the machine bulls as individuals so we can check the machine info, details of the machines that we've assigned, right? Mhm Onda. See any events pertaining to the machine areas like this one on normal? Yeah. Just watch asked. The community's components are waiting for the machines to start. Go back to Custer's. Okay, right. Because we're moving ahead now. We can see we have it in progress. Five minutes in new Matt Gateway on the stage. The machines have been built on assigned. I pick up the U. S. Thank you. Yeah. There we go. Machine has been created. See the event detail and the AWS. I'd for that machine. Mhm. No speeding things up a little bit. This whole process and to end takes about fifteen minutes. Run the clock forward, you'll notice is the machines continue to bold the in progress. We'll go from in progress to ready. A soon as we got ready on all three machines, the managers on both workers way could go on and we could see that now we reached the point where the cluster itself is being configured. Mhm, mhm. And then we go. Cluster has been deployed. So once the classes deployed, we can now never get around our environment. Okay, Are cooking into configure cluster We could modify their cluster. We could get the end points for alert alert manager on See here The griffon occupying and Prometheus are still building in the background but the cluster is available on you would be able to put workloads on it the stretch to download the cube conflict so that I can put workloads on it. It's again three little dots in the right for that particular cluster. If the download cube conflict give it my password, I now have the Q conflict file necessary so that I can access that cluster Mhm all right Now that the build is fully completed, we can check out cluster info on. We can see that Allow the satellite components have been built. All the storage is there, and we have access to the CPU. I So if we click into the cluster, we can access the UCP dashboard, right? Shit. Click the signing with Detroit button to use the SSO on. We give Mary's possible to use the name once again. Thing is, an unlicensed cluster way could license at this point. Or just skip it on. There. We have the UCP dashboard. You can see that has been up for a little while. We have some data on the dashboard going back to the console. We can now go to the griffon, a data just being automatically pre configured for us. We can switch and utilized a number of different dashboards that have already been instrumented within the cluster. So, for example, communities cluster information, the name spaces, deployments, nodes. Mhm. So we look at nodes. If we could get a view of the resource is utilization of Mrs Custer is very little running in it. Yeah. General dashboard of Cuba navies cluster one of this is configurable. You can modify these for your own needs, or add your own dashboards on de scoped to the cluster. So it is available to all users who have access to this specific cluster, all right to scale the cluster on to add a notice. A simple is the process of adding a mode to the cluster, assuming we've done that in the first place. So we go to the cluster, go into the details for the cluster we select, create machine. Once again, we need to be ensure that we put the correct am I in and any other functions we like. You can create different sized machines so it could be a larger node. Could be bigger disks and you'll see that worker has been added from the provisioning state on shortly. We will see the detail off that worker as a complete to remove a note from a cluster. Once again, we're going to the cluster. We select the node would like to remove. Okay, I just hit delete On that note. Worker nodes will be removed from the cluster using according and drawing method to ensure that your workouts are not affected. Updating a cluster. When an update is available in the menu for that particular cluster, the update button will become available. And it's a simple as clicking the button, validating which release you would like to update to. In this case, the next available releases five point seven point one. Here I'm kicking the update by in the background We will coordinate. Drain each node slowly go through the process of updating it. Andi update will complete depending on what the update is as quickly as possible. Girl, we go. The notes being rebuilt in this case impacted the manager node. So one of the manager nodes is in the process of being rebuilt. In fact, to in this case, one has completed already on In a few minutes we'll see that there are great has been completed. There we go. Great. Done. Yeah. If you work loads of both using proper cloud native community standards, there will be no impact. >>Excellent. So at this point, we've now got a cluster ready to start taking our communities of workloads. He started playing or APs to that costume. So watching that video, the thing that jumped out to me at first Waas like the inputs that go into defining this workload cost of it. All right, so we have to make sure we were using on appropriate am I for that kind of defines the substrate about what we're gonna be deploying our cluster on top of. But there's very little requirements. A so far as I could tell on top of that, am I? Because Docker enterprise Container Cloud is gonna bootstrap all the components that you need. That s all we have is kind of kind of really simple bunch box that we were deploying these things on top of so one thing that didn't get dug into too much in the video. But it's just sort of implied. Bruce, maybe you can comment on this is that release that Shawn had to choose for his, uh, for his cluster in creating it. And that release was also the thing we had to touch. Wanted to upgrade part cluster. So you have really sharp eyes. You could see at the end there that when you're doing the release upgrade enlisted out a stack of components docker, engine, kubernetes, calico, aled, different bits and pieces that go into, uh, go into one of these commodity clusters that deploy. And so, as far as I can tell in that case, that's what we mean by a release. In this sense, right? It's the validated stack off container ization and orchestration components that you know we've tested out and make sure it works well, introduction environments. >>Yeah, and and And that's really the focus of our effort is to ensure that any CVS in any of the stack are taken care of that there is a fixes air documented and up streamed to the open stack community source community, um, and and that, you know, then we test for the scaling ability and the reliability in high availability configuration for the clusters themselves. The hosts of your containers. Right. And I think one of the key, uh, you know, benefits that we provide is that ability to let you know, online, high. We've got an update for you, and it's fixes something that maybe you had asked us to fix. Uh, that all comes to you online as your managing your clusters, so you don't have to think about it. It just comes as part of the product. >>You just have to click on Yes. Please give me that update. Uh, not just the individual components, but again. It's that it's that validated stack, right? Not just, you know, component X, y and Z work. But they all work together effectively Scalable security, reliably cool. Um, yeah. So at that point, once we started creating that workload child cluster, of course, we bootstrapped good old universal control plane. Doctor Enterprise. On top of that, Sean had the classic comment there, you know? Yeah. Yeah. You'll see a little warnings and errors or whatever. When you're setting up, UCP don't handle, right, Just let it do its job, and it will converge all its components, you know, after just just a minute or two. But we saw in that video, we sped things up a little bit there just we didn't wait for, you know, progress fighters to complete. But really, in real life, that whole process is that anything so spend up one of those one of those fosters so quite quite quick. >>Yeah, and and I think the the thoroughness with which it goes through its process and re tries and re tries, uh, as you know, and it was evident when we went through the initial ah video of the bootstrapping as well that the processes themselves are self healing, as they are going through. So they will try and retry and wait for the event to complete properly on. And once it's completed properly, then it will go to the next step. >>Absolutely. And the worst thing you could do is panic at the first warning and start tearing things that don't don't do that. Just don't let it let it heal. Let take care of itself. And that's the beauty of these manage solutions is that they bake in a lot of subject matter expertise, right? The decisions that are getting made by those containers is they're bootstrapping themselves, reflect the expertise of the Mirant ISS crew that has been developing this content in these two is free for years and years now, over recognizing humanities. One cool thing there that I really appreciate it actually that it adds on top of Dr Enterprise is that automatic griffon a deployment as well. So, Dr Enterprises, I think everyone knows has had, like, some very high level of statistics baked into its dashboard for years and years now. But you know our customers always wanted a double click on that right to be able to go a little bit deeper. And Griffon are really addresses that it's built in dashboards. That's what's really nice to see. >>Yeah, uh, and all of the alerts and, uh, data are actually captured in a Prometheus database underlying that you have access to so that you are allowed to add new alerts that then go out to touch slack and say hi, You need to watch your disk space on this machine or those kinds of things. Um, and and this is especially helpful for folks who you know, want to manage the application service layer but don't necessarily want to manage the operations side of the house. So it gives them a tool set that they can easily say here, Can you watch these for us? And Miran tas can actually help do that with you, So >>yeah, yeah, I mean, that's just another example of baking in that expert knowledge, right? So you can leverage that without tons and tons of a long ah, long runway of learning about how to do that sort of thing. Just get out of the box right away. There was the other thing, actually, that you could sleep by really quickly if you weren't paying close attention. But Sean mentioned it on the video. And that was how When you use dark enterprise container cloud to scale your cluster, particularly pulling a worker out, it doesn't just like Territo worker down and forget about it. Right? Is using good communities best practices to cordon and drain the No. So you aren't gonna disrupt your workloads? You're going to just have a bunch of containers instantly. Excellent crash. You could really carefully manage the migration of workloads off that cluster has baked right in tow. How? How? Document? The brass container cloud is his handling cluster scale. >>Right? And And the kubernetes, uh, scaling methodology is is he adhered to with all of the proper techniques that ensure that it will tell you. Wait, you've got a container that actually needs three, uh, three, uh, instances of itself. And you don't want to take that out, because that node, it means you'll only be able to have to. And we can't do that. We can't allow that. >>Okay, Very cool. Further thoughts on this video. So should we go to the questions. >>Let's let's go to the questions >>that people have. Uh, there's one good one here, down near the bottom regarding whether an a p I is available to do this. So in all these demos were clicking through this web. You I Yes, this is all a p. I driven. You could do all of this. You know, automate all this away is part of the CSC change. Absolutely. Um, that's kind of the point, right? We want you to be ableto spin up. Come on. I keep calling them commodity clusters. What I mean by that is clusters that you can create and throw away. You know, easily and automatically. So everything you see in these demos eyes exposed to FBI? >>Yeah. In addition, through the standard Cube cuddle, Uh, cli as well. So if you're not a programmer, but you still want to do some scripting Thio, you know, set up things and deploy your applications and things. You can use this standard tool sets that are available to accomplish that. >>There is a good question on scale here. So, like, just how many clusters and what sort of scale of deployments come this kind of support our engineers report back here that we've done in practice up to a Zeman ia's like two hundred clusters. We've deployed on this with two hundred fifty nodes in a cluster. So were, you know, like like I said, hundreds, hundreds of notes, hundreds of clusters managed by documented press container fall and then those downstream clusters, of course, subject to the usual constraints for kubernetes, right? Like default constraints with something like one hundred pods for no or something like that. There's a few different limitations of how many pods you can run on a given cluster that comes to us not from Dr Enterprise Container Cloud, but just from the underlying kubernetes distribution. >>Yeah, E. I mean, I don't think that we constrain any of the capabilities that are available in the, uh, infrastructure deliveries, uh, service within the goober Netease framework. So were, you know, But we are, uh, adhering to the standards that we would want to set to make sure that we're not overloading a node or those kinds of things, >>right. Absolutely cool. Alright. So at this point, we've got kind of a two layered our protection when we are management cluster, but we deployed in the first video. Then we use that to deploy one child clustering work, classroom, uh, for more sophisticated deployments where we might want to manage child clusters across multiple regions. We're gonna add another layer into our architectural we're gonna add in regional cluster management. So this idea you're gonna have the single management cluster that we started within the first video. On the next video, we're gonna learn how to spin up a regional clusters, each one of which would manage, for example, a different AWS uh, US region. So let me just pull out the video for that bill. We'll check it out for me. Mhm. >>Hello. In this demo, we will cover the deployment of additional regional management. Cluster will include a brief architectures of you how to set up the management environment, prepare for the deployment deployment overview and then just to prove it, to play a regional child cluster. So, looking at the overall architecture, the management cluster provides all the core functionality, including identity management, authentication, inventory and release version. ING Regional Cluster provides the specific architecture provider in this case AWS on the LCN components on the D you speak Cluster for child cluster is the cluster or clusters being deployed and managed? Okay, so why do you need a regional cluster? Different platform architectures, for example aws who have been stack even bare metal to simplify connectivity across multiple regions handle complexities like VPNs or one way connectivity through firewalls, but also help clarify availability zones. Yeah. Here we have a view of the regional cluster and how it connects to the management cluster on their components, including items like the LCN cluster Manager we also Machine Manager were held. Mandel are managed as well as the actual provider logic. Mhm. Okay, we'll begin by logging on Is the default administrative user writer. Okay, once we're in there, we'll have a look at the available clusters making sure we switch to the default project which contains the administration clusters. Here we can see the cars management cluster, which is the master controller. And you see, it only has three nodes, three managers, no workers. Okay, if we look at another regional cluster similar to what we're going to deploy now, also only has three managers once again, no workers. But as a comparison, here's a child cluster This one has three managers, but also has additional workers associate it to the cluster. All right, we need to connect. Tell bootstrap note. Preferably the same note that used to create the original management plaster. It's just on AWS, but I still want to machine. All right. A few things we have to do to make sure the environment is ready. First thing we're going to see go into route. We'll go into our releases folder where we have the kozberg struck on. This was the original bootstrap used to build the original management cluster. Yeah, we're going to double check to make sure our cube con figures there once again, the one created after the original customers created just double check. That cute conflict is the correct one. Does point to the management cluster. We're just checking to make sure that we can reach the images that everything is working. A condom. No damages waken access to a swell. Yeah. Next we're gonna edit the machine definitions. What we're doing here is ensuring that for this cluster we have the right machine definitions, including items like the am I. So that's found under the templates AWS directory. We don't need to edit anything else here. But we could change items like the size of the machines attempts. We want to use that The key items to ensure where you changed the am I reference for the junta image is the one for the region in this case AWS region for utilizing this was no construct deployment. We have to make sure we're pointing in the correct open stack images. Yeah, okay. Set the correct and my save file. Now we need to get up credentials again. When we originally created the bootstrap cluster, we got credentials from eight of the U. S. If we hadn't done this, we would need to go through the u A. W s set up. So we're just exporting the AWS access key and I d. What's important is CAAs aws enabled equals. True. Now we're sitting the region for the new regional cluster. In this case, it's Frankfurt on exporting our cube conflict that we want to use for the management cluster. When we looked at earlier Yeah, now we're exporting that. Want to call the cluster region Is Frank Foods Socrates Frankfurt yet trying to use something descriptive It's easy to identify. Yeah, and then after this, we'll just run the bootstrap script, which will complete the deployment for us. Bootstrap of the regional cluster is quite a bit quicker than the initial management clusters. There are fewer components to be deployed. Um, but to make it watchable, we've spent it up. So we're preparing our bootstrap cluster on the local bootstrap node. Almost ready on. We started preparing the instances at W s and waiting for that bastard and no to get started. Please. The best you nerd Onda. We're also starting to build the actual management machines they're now provisioning on. We've reached the point where they're actually starting to deploy. Dr. Enterprise, this is probably the longest face. Yeah, seeing the second that all the nerds will go from the player deployed. Prepare, prepare. Yeah, You'll see their status changes updates. He was the first night ready. Second, just applying second already. Both my time. No waiting from home control. Let's become ready. Removing cluster the management cluster from the bootstrap instance into the new cluster running the date of the U. S. All my stay. Ah, now we're playing Stockland. Switch over is done on. Done. Now I will build a child cluster in the new region very, very quickly to find the cluster will pick. Our new credential has shown up. We'll just call it Frankfurt for simplicity a key and customs to find. That's the machine. That cluster stop with three managers. Set the correct Am I for the region? Yeah, Do the same to add workers. There we go test the building. Yeah. Total bill of time Should be about fifteen minutes. Concedes in progress. It's going to expect this up a little bit. Check the events. We've created all the dependencies, machine instances, machines, a boat shortly. We should have a working cluster in Frankfurt region. Now almost a one note is ready from management. Two in progress. Yeah, on we're done. Clusters up and running. Yeah. >>Excellent. So at this point, we've now got that three tier structure that we talked about before the video. We got that management cluster that we do strapped in the first video. Now we have in this example to different regional clustering one in Frankfurt, one of one management was two different aws regions. And sitting on that you can do Strap up all those Doctor enterprise costumes that we want for our work clothes. >>Yeah, that's the key to this is to be able to have co resident with your actual application service enabled clusters the management co resident with it so that you can, you know, quickly access that he observation Elson Surfboard services like the graph, Ana and that sort of thing for your particular region. A supposed to having to lug back into the home. What did you call it when we started >>the mothership? >>The mothership. Right. So we don't have to go back to the mother ship. We could get >>it locally. Yeah, when, like to that point of aggregating things under a single pane of glass? That's one thing that again kind of sailed by in the demo really quickly. But you'll notice all your different clusters were on that same cluster. Your pain on your doctor Enterprise Container Cloud management. Uh, court. Right. So both your child clusters for running workload and your regional clusters for bootstrapping. Those child clusters were all listed in the same place there. So it's just one pane of glass to go look for, for all of your clusters, >>right? And, uh, this is kind of an important point. I was, I was realizing, as we were going through this. All of the mechanics are actually identical between the bootstrapped cluster of the original services and the bootstrapped cluster of the regional services. It's the management layer of everything so that you only have managers, you don't have workers and that at the child cluster layer below the regional or the management cluster itself, that's where you have the worker nodes. And those are the ones that host the application services in that three tiered architecture that we've now defined >>and another, you know, detail for those that have sharp eyes. In that video, you'll notice when deploying a child clusters. There's not on Lee. A minimum of three managers for high availability management cluster. You must have at least two workers that's just required for workload failure. It's one of those down get out of work. They could potentially step in there, so your minimum foot point one of these child clusters is fine. Violence and scalable, obviously, from a >>That's right. >>Let's take a quick peek of the questions here, see if there's anything we want to call out, then we move on to our last want to my last video. There's another question here about, like where these clusters can live. So again, I know these examples are very aws heavy. Honestly, it's just easy to set up down on the other us. We could do things on bare metal and, uh, open stack departments on Prem. That's what all of this still works in exactly the same way. >>Yeah, the, uh, key to this, especially for the the, uh, child clusters, is the provision hers? Right? See you establish on AWS provision or you establish a bare metal provision or you establish a open stack provision. Or and eventually that list will include all of the other major players in the cloud arena. But you, by selecting the provision or within your management interface, that's where you decide where it's going to be hosted, where the child cluster is to be hosted. >>Speaking off all through a child clusters. Let's jump into our last video in the Siri's, where we'll see how to spin up a child cluster on bare metal. >>Hello. This demo will cover the process of defining bare metal hosts and then review the steps of defining and deploying a bare metal based doctor enterprise cluster. So why bare metal? Firstly, it eliminates hyper visor overhead with performance boost of up to thirty percent. Provides direct access to GP use, prioritize for high performance wear clothes like machine learning and AI, and supports high performance workloads like network functions, virtualization. It also provides a focus on on Prem workloads, simplifying and ensuring we don't need to create the complexity of adding another opera visor. Lay it between so continue on the theme Why Communities and bare metal again Hyper visor overhead. Well, no virtualization overhead. Direct access to hardware items like F p G A s G p us. We can be much more specific about resource is required on the nodes. No need to cater for additional overhead. Uh, we can handle utilization in the scheduling. Better Onda we increase the performances and simplicity of the entire environment as we don't need another virtualization layer. Yeah, In this section will define the BM hosts will create a new project will add the bare metal hosts, including the host name. I put my credentials I pay my address the Mac address on then provide a machine type label to determine what type of machine it is for later use. Okay, let's get started. So well again. Was the operator thing. We'll go and we'll create a project for our machines to be a member off helps with scoping for later on for security. I begin the process of adding machines to that project. Yeah. So the first thing we had to be in post, Yeah, many of the machine A name. Anything you want, que experimental zero one. Provide the IAP my user name type my password. Okay. On the Mac address for the common interface with the boot interface and then the i p m I i p address These machines will be at the time storage worker manager. He's a manager. Yeah, we're gonna add a number of other machines on will. Speed this up just so you could see what the process looks like in the future. Better discovery will be added to the product. Okay. Okay. Getting back there we have it are Six machines have been added, are busy being inspected, being added to the system. Let's have a look at the details of a single note. Yeah, you can see information on the set up of the node. Its capabilities? Yeah. As well as the inventory information about that particular machine. I see. Okay, let's go and create the cluster. Yeah, So we're going to deploy a bare metal child cluster. The process we're going to go through is pretty much the same as any other child cluster. So we'll credit custom. We'll give it a name, but if it were selecting bare metal on the region, we're going to select the version we want to apply. No way. We're going to add this search keys. If we hope we're going to give the load. Balancer host I p that we'd like to use out of dress range on update the address range that we want to use for the cluster. Check that the sea ideal blocks for the Cuban ladies and tunnels are what we want them to be. Enable disabled stack light. Yeah, and soothe stack light settings to find the cluster. And then, as for any other machine, we need to add machines to the cluster. Here. We're focused on building communities clusters, so we're gonna put the count of machines. You want managers? We're gonna pick the label type manager and create three machines is the manager for the Cuban eighties. Casting Okay thing. We're having workers to the same. It's a process. Just making sure that the worker label host level are I'm sorry. On when Wait for the machines to deploy. Let's go through the process of putting the operating system on the notes validating and operating system deploying doctor identifies Make sure that the cluster is up and running and ready to go. Okay, let's review the bold events waken See the machine info now populated with more information about the specifics of things like storage and of course, details of a cluster etcetera. Yeah, yeah, well, now watch the machines go through the various stages from prepared to deploy on what's the cluster build? And that brings us to the end of this particular demo. You can see the process is identical to that of building a normal child cluster we got our complaint is complete. >>All right, so there we have it, deploying a cluster to bare metal. Much the same is how we did for AWS. I guess maybe the biggest different stepwise there is there is that registration face first, right? So rather than just using AWS financials toe magically create PM's in the cloud. You got a point out all your bare metal servers to Dr Enterprise between the cloud and they really come in, I guess three profiles, right? You got your manager profile with a profile storage profile which has been labeled as allocate. Um, crossword cluster has appropriate, >>right? And And I think that the you know, the key differentiator here is that you have more physical control over what, uh, attributes that love your cat, by the way, uh, where you have the different attributes of a server of physical server. So you can, uh, ensure that the SSD configuration on the storage nodes is gonna be taken advantage of in the best way the GP use on the worker nodes and and that the management layer is going to have sufficient horsepower to, um, spin up to to scale up the the environments, as required. One of the things I wanted to mention, though, um, if I could get this out without the choking much better. Um, is that Ah, hey, mentioned the load balancer and I wanted to make sure in defining the load balancer and the load balancer ranges. Um, that is for the top of the the cluster itself. That's the operations of the management, uh, layer integrating with your systems internally to be able to access the the Cube Can figs. I I p address the, uh, in a centralized way. It's not the load balancer that's working within the kubernetes cluster that you are deploying. That's still cube proxy or service mesh, or however you're intending to do it. So, um, it's kind of an interesting step that your initial step in building this, um and we typically use things like metal L B or in gen X or that kind of thing is to establish that before we deploy this bear mental cluster so that it can ride on top of that for the tips and things. >>Very cool. So any other thoughts on what we've seen so far today? Bruce, we've gone through all the different layers. Doctor enterprise container clouds in these videos from our management are regional to our clusters on aws hand bear amount, Of course, with his dad is still available. Closing thoughts before we take just a very short break and run through these demos again. >>You know, I've been very exciting. Ah, doing the presentation with you. I'm really looking forward to doing it the second time, so that we because we've got a good rhythm going about this kind of thing. So I'm looking forward to doing that. But I think that the key elements of what we're trying to convey to the folks out there in the audience that I hope you've gotten out of it is that will that this is an easy enough process that if you follow the step by steps going through the documentation that's been put out in the chat, um, that you'll be able to give this a go yourself, Um, and you don't have to limit yourself toe having physical hardware on prim to try it. You could do it in a ws as we've shown you today. And if you've got some fancy use cases like, uh, you you need a Hadoop And and, uh, you know, cloud oriented ai stuff that providing a bare metal service helps you to get there very fast. So right. Thank you. It's been a pleasure. >>Yeah, thanks everyone for coming out. So, like I said we're going to take a very short, like, three minute break here. Uh, take the opportunity to let your colleagues know if they were in another session or they didn't quite make it to the beginning of this session. Or if you just want to see these demos again, we're going to kick off this demo. Siri's again in just three minutes at ten. Twenty five a. M. Pacific time where we will see all this great stuff again. Let's take a three minute break. I'll see you all back here in just two minutes now, you know. Okay, folks, that's the end of our extremely short break. We'll give people just maybe, like one more minute to trickle in if folks are interested in coming on in and jumping into our demo. Siri's again. Eso For those of you that are just joining us now I'm Bill Mills. I head up curriculum development for the training team here. Moran Tous on Joining me for this session of demos is Bruce. Don't you go ahead and introduce yourself doors, who is still on break? That's cool. We'll give Bruce a minute or two to get back while everyone else trickles back in. There he is. Hello, Bruce. >>How'd that go for you? Okay, >>Very well. So let's kick off our second session here. I e just interest will feel for you. Thio. Let it run over here. >>Alright. Hi. Bruce Matthews here. I'm the Western Regional Solutions architect for Marantz. Use A I'm the one with the gray hair and the glasses. Uh, the handsome one is Bill. So, uh, Bill, take it away. >>Excellent. So over the next hour or so, we've got a Siris of demos that's gonna walk you through your first steps with Dr Enterprise Container Cloud Doctor Enterprise Container Cloud is, of course, Miranda's brand new offering from bootstrapping kubernetes clusters in AWS bare metal open stack. And for the providers in the very near future. So we we've got, you know, just just over an hour left together on this session, uh, if you joined us at the top of the hour back at nine. A. M. Pacific, we went through these demos once already. Let's do them again for everyone else that was only able to jump in right now. Let's go. Our first video where we're gonna install Dr Enterprise container cloud for the very first time and use it to bootstrap management. Cluster Management Cluster, as I like to describe it, is our mother ship that's going to spin up all the other kubernetes clusters, Doctor Enterprise clusters that we're gonna run our workloads on. So I'm gonna do >>I'm so excited. I can hardly wait. >>Let's do it all right to share my video out here. Yeah, let's do it. >>Good day. The focus for this demo will be the initial bootstrap of the management cluster on the first regional clusters. To support AWS deployments, the management cluster provides the core functionality, including identity management, authentication, infantry release version. The regional cluster provides the specific architecture provided in this case AWS and the Elsom components on the UCP cluster Child cluster is the cluster or clusters being deployed and managed. The deployment is broken up into five phases. The first phase is preparing a bootstrap note on its dependencies on handling the download of the bridge struck tools. The second phase is obtaining America's license file. Third phase. Prepare the AWS credentials instead of the ideas environment, the fourth configuring the deployment, defining things like the machine types on the fifth phase, Run the bootstrap script and wait for the deployment to complete. Okay, so here we're sitting up the strap node. Just checking that it's clean and clear and ready to go there. No credentials already set up on that particular note. Now, we're just checking through aws to make sure that the account we want to use we have the correct credentials on the correct roles set up on validating that there are no instances currently set up in easy to instance, not completely necessary, but just helps keep things clean and tidy when I am perspective. Right. So next step, we're just gonna check that we can from the bootstrap note, reach more antis, get to the repositories where the various components of the system are available. They're good. No areas here. Yeah, right now we're going to start sitting at the bootstrap note itself. So we're downloading the cars release, get get cars, script, and then next we're going to run it. Yeah, I've been deployed changing into that big struck folder, just making see what's there right now we have no license file, so we're gonna get the license filed. Okay? Get the license file through more antis downloads site signing up here, downloading that license file and putting it into the Carisbrook struck folder. Okay, since we've done that, we can now go ahead with the rest of the deployment. Yeah, see what the follow is there? Uh huh. Once again, checking that we can now reach E C two, which is extremely important for the deployment. Just validation steps as we move through the process. Alright. Next big step is violating all of our AWS credentials. So the first thing is, we need those route credentials which we're going to export on the command line. This is to create the necessary bootstrap user on AWS credentials for the completion off the deployment we're now running in AWS policy create. So it is part of that is creating our food trucks script. Creating this through policy files onto the AWS, just generally preparing the environment using a cloud formation script, you'll see in a second, I'll give a new policy confirmations just waiting for it to complete. And there is done. It's gonna have a look at the AWS console. You can see that we're creative completed. Now we can go and get the credentials that we created. Good day. I am console. Go to the new user that's being created. We'll go to the section on security credentials and creating new keys. Download that information media access Key I. D and the secret access key, but usually then exported on the command line. Okay, Couple of things to Notre. Ensure that you're using the correct AWS region on ensure that in the conflict file you put the correct Am I in for that region? I'm sure you have it together in a second. Okay, thanks. Is key. So you could X key Right on. Let's kick it off. So this process takes between thirty and forty five minutes. Handles all the AWS dependencies for you. Um, as we go through, the process will show you how you can track it. Andi will start to see things like the running instances being created on the AWS side. The first phase off this whole process happening in the background is the creation of a local kind based bootstrapped cluster on the bootstrap node that clusters then used to deploy and manage all the various instances and configurations within AWS at the end of the process. That cluster is copied into the new cluster on AWS and then shut down that local cluster essentially moving itself over. Yeah, okay. Local clusters boat. Just waiting for the various objects to get ready. Standard communities objects here. Yeah, you mentioned Yeah. So we've speed up this process a little bit just for demonstration purposes. Okay, there we go. So first note is being built the bastion host just jump box that will allow us access to the entire environment. Yeah, In a few seconds, we'll see those instances here in the US console on the right. Um, the failures that you're seeing around failed to get the I. P for Bastian is just the weight state while we wait for AWS to create the instance. Okay. Yeah. Beauty there. Movies. Okay, sketch. Hello? Yeah, Okay. Okay. On. There we go. Question host has been built on three instances for the management clusters have now been created. Okay, We're going through the process of preparing. Those nodes were now copying everything over. See that scaling up of controllers in the big strapped cluster? It's indicating that we're starting all of the controllers in the new question. Almost there. Right? Okay. Just waiting for key. Clark. Uh huh. So finish up. Yeah. No. Now we're shutting down. Control this on the local bootstrap node on preparing our I. D. C configuration, fourth indication. So once this is completed, the last phase will be to deploy stack light into the new cluster, that glass on monitoring tool set, Then we go stack like deployment has started. Mhm. Coming to the end of the deployment mountain. Yeah, they were cut final phase of the deployment. And we are done. Yeah, you'll see. At the end, they're providing us the details of you. I log in. So there's a key Clark log in. Uh, you can modify that initial default possible is part of the configuration set up where they were in the documentation way. Go Councils up way can log in. Yeah. Yeah. Thank you very much for watching. >>All right, so at this point, what we have we got our management cluster spun up, ready to start creating work clusters. So just a couple of points to clarify there to make sure everyone caught that, uh, as advertised. That's darker. Enterprise container cloud management cluster. That's not rework loans. are gonna go right? That is the tool and you're gonna use to start spinning up downstream commodity documentary prize clusters for bootstrapping record too. >>And the seed host that were, uh, talking about the kind cluster dingy actually doesn't have to exist after the bootstrap succeeds eso It's sort of like, uh, copies head from the seed host Toothy targets in AWS spins it up it then boots the the actual clusters and then it goes away too, because it's no longer necessary >>so that bootstrapping know that there's not really any requirements, Hardly on that, right. It just has to be able to reach aws hit that Hit that a p I to spin up those easy to instances because, as you just said, it's just a kubernetes in docker cluster on that piece. Drop note is just gonna get torn down after the set up finishes on. You no longer need that. Everything you're gonna do, you're gonna drive from the single pane of glass provided to you by your management cluster Doctor enterprise Continue cloud. Another thing that I think is sort of interesting their eyes that the convict is fairly minimal. Really? You just need to provide it like aws regions. Um, am I? And that's what is going to spin up that spending that matter faster. >>Right? There is a mammal file in the bootstrap directory itself, and all of the necessary parameters that you would fill in have default set. But you have the option then of going in and defining a different Am I different for a different region, for example? Oh, are different. Size of instance from AWS. >>One thing that people often ask about is the cluster footprint. And so that example you saw they were spitting up a three manager, um, managing cluster as mandatory, right? No single manager set up at all. We want high availability for doctrine Enterprise Container Cloud management. Like so again, just to make sure everyone sort of on board with the life cycle stage that we're at right now. That's the very first thing you're going to do to set up Dr Enterprise Container Cloud. You're going to do it. Hopefully exactly once. Right now, you've got your management cluster running, and they're gonna use that to spend up all your other work clusters Day today has has needed How do we just have a quick look at the questions and then lets take a look at spinning up some of those child clusters. >>Okay, e think they've actually been answered? >>Yeah, for the most part. One thing I'll point out that came up again in the Dail, helpfully pointed out earlier in surgery, pointed out again, is that if you want to try any of the stuff yourself, it's all of the dogs. And so have a look at the chat. There's a links to instructions, so step by step instructions to do each and every thing we're doing here today yourself. I really encourage you to do that. Taking this out for a drive on your own really helps internalizing communicate these ideas after the after launch pad today, Please give this stuff try on your machines. Okay, So at this point, like I said, we've got our management cluster. We're not gonna run workloads there that we're going to start creating child clusters. That's where all of our work and we're gonna go. That's what we're gonna learn how to do in our next video. Cue that up for us. >>I so love Shawn's voice. >>Wasn't that all day? >>Yeah, I watched him read the phone book. >>All right, here we go. Let's now that we have our management cluster set up, let's create a first child work cluster. >>Hello. In this demo, we will cover the deployment experience of creating a new child cluster the scaling of the cluster on how to update the cluster. When a new version is available, we begin the process by logging onto the you I as a normal user called Mary. Let's go through the navigation of the u I. So you can switch Project Mary only has access to development. Uh huh. Get a list of the available projects that you have access to. What clusters have been deployed at the moment there. Man. Yes, this H keys, Associate ID for Mary into her team on the cloud credentials that allow you to create or access the various clouds that you can deploy clusters to finally different releases that are available to us. We can switch from dark mode to light mode, depending on your preferences. Right. Let's now set up some ssh keys for Mary so she can access the notes and machines again. Very simply, had Mississippi key give it a name. We copy and paste our public key into the upload key block. Or we can upload the key if we have the file available on our machine. A very simple process. So to create a new cluster, we define the cluster ad management nodes and add worker nodes to the cluster. Yeah, again, very simply, we got the clusters tab we had to create cluster button. Give the cluster name. Yeah, Andi, select the provider. We only have access to AWS in this particular deployment, so we'll stick to AWS. What's like the region in this case? US West one released version five point seven is the current release Onda Attach. Mary's Key is necessary key. We can then check the rest of the settings, confirming the provider any kubernetes c r D a r i p address information. We can change this. Should we wish to? We'll leave it default for now and then what components of stack light? I would like to deploy into my custom for this. I'm enabling stack light on logging, and I consider the retention sizes attention times on. Even at this stage, add any custom alerts for the watchdogs. Consider email alerting which I will need my smart host. Details and authentication details. Andi Slack Alerts. Now I'm defining the cluster. All that's happened is the cluster's been defined. I now need to add machines to that cluster. I'll begin by clicking the create machine button within the cluster definition. Oh, select manager, Select the number of machines. Three is the minimum. Select the instant size that I'd like to use from AWS and very importantly, ensure correct. Use the correct Am I for the region. I convinced side on the route. Device size. There we go. My three machines are busy creating. I now need to add some workers to this cluster. So I go through the same process this time once again, just selecting worker. I'll just add to once again the am I is extremely important. Will fail if we don't pick the right. Am I for a Clinton machine? In this case and the deployment has started, we can go and check on the bold status are going back to the clusters screen on clicking on the little three dots on the right. We get the cluster info and the events, so the basic cluster info you'll see pending their listen. Cluster is still in the process of being built. We kick on, the events will get a list of actions that have been completed This part of the set up of the cluster. So you can see here. We've created the VPC. We've created the sub nets on. We've created the Internet Gateway. It's unnecessary made of us. And we have no warnings of the stage. Okay, this will then run for a while. We have one minute past. We can click through. We can check the status of the machine balls as individuals so we can check the machine info, details of the machines that we've assigned mhm and see any events pertaining to the machine areas like this one on normal. Yeah. Just last. The community's components are waiting for the machines to start. Go back to customers. Okay, right. Because we're moving ahead now. We can see we have it in progress. Five minutes in new Matt Gateway. And at this stage, the machines have been built on assigned. I pick up the U S. Yeah, yeah, yeah. There we go. Machine has been created. See the event detail and the AWS. I'd for that machine. No speeding things up a little bit this whole process and to end takes about fifteen minutes. Run the clock forward, you'll notice is the machines continue to bold the in progress. We'll go from in progress to ready. A soon as we got ready on all three machines, the managers on both workers way could go on and we could see that now we reached the point where the cluster itself is being configured mhm and then we go. Cluster has been deployed. So once the classes deployed, we can now never get around. Our environment are looking into configure cluster. We could modify their cluster. We could get the end points for alert Alert Manager See here the griffon occupying and Prometheus are still building in the background but the cluster is available on You would be able to put workloads on it at this stage to download the cube conflict so that I can put workloads on it. It's again the three little dots in the right for that particular cluster. If the download cube conflict give it my password, I now have the Q conflict file necessary so that I can access that cluster. All right, Now that the build is fully completed, we can check out cluster info on. We can see that all the satellite components have been built. All the storage is there, and we have access to the CPU. I. So if we click into the cluster, we can access the UCP dashboard, click the signing with the clock button to use the SSO. We give Mary's possible to use the name once again. Thing is an unlicensed cluster way could license at this point. Or just skip it on. Do we have the UCP dashboard? You could see that has been up for a little while. We have some data on the dashboard going back to the console. We can now go to the griffon. A data just been automatically pre configured for us. We can switch and utilized a number of different dashboards that have already been instrumented within the cluster. So, for example, communities cluster information, the name spaces, deployments, nodes. Um, so we look at nodes. If we could get a view of the resource is utilization of Mrs Custer is very little running in it. Yeah, a general dashboard of Cuba Navies cluster. What If this is configurable, you can modify these for your own needs, or add your own dashboards on de scoped to the cluster. So it is available to all users who have access to this specific cluster. All right to scale the cluster on to add a No. This is simple. Is the process of adding a mode to the cluster, assuming we've done that in the first place. So we go to the cluster, go into the details for the cluster we select, create machine. Once again, we need to be ensure that we put the correct am I in and any other functions we like. You can create different sized machines so it could be a larger node. Could be bigger group disks and you'll see that worker has been added in the provisioning state. On shortly, we will see the detail off that worker as a complete to remove a note from a cluster. Once again, we're going to the cluster. We select the node we would like to remove. Okay, I just hit delete On that note. Worker nodes will be removed from the cluster using according and drawing method to ensure that your workloads are not affected. Updating a cluster. When an update is available in the menu for that particular cluster, the update button will become available. And it's a simple as clicking the button validating which release you would like to update to this case. This available releases five point seven point one give you I'm kicking the update back in the background. We will coordinate. Drain each node slowly, go through the process of updating it. Andi update will complete depending on what the update is as quickly as possible. Who we go. The notes being rebuilt in this case impacted the manager node. So one of the manager nodes is in the process of being rebuilt. In fact, to in this case, one has completed already. Yeah, and in a few minutes, we'll see that the upgrade has been completed. There we go. Great. Done. If you work loads of both using proper cloud native community standards, there will be no impact. >>All right, there. We haven't. We got our first workload cluster spun up and managed by Dr Enterprise Container Cloud. So I I loved Shawn's classic warning there. When you're spinning up an actual doctor enterprise deployment, you see little errors and warnings popping up. Just don't touch it. Just leave it alone and let Dr Enterprises self healing properties take care of all those very transient temporary glitches, resolve themselves and leave you with a functioning workload cluster within victims. >>And now, if you think about it that that video was not very long at all. And that's how long it would take you if someone came into you and said, Hey, can you spend up a kubernetes cluster for development development A. Over here, um, it literally would take you a few minutes to thio Accomplish that. And that was with a W s. Obviously, which is sort of, ah, transient resource in the cloud. But you could do exactly the same thing with resource is on Prem or resource is, um physical resource is and will be going through that later in the process. >>Yeah, absolutely one thing that is present in that demo, but that I like to highlight a little bit more because it just kind of glides by Is this notion of, ah, cluster release? So when Sean was creating that cluster, and also when when he was upgrading that cluster, he had to choose a release. What does that didn't really explain? What does that mean? Well, in Dr Enterprise Container Cloud, we have released numbers that capture the entire staff of container ization tools that will be deploying to that workload costume. So that's your version of kubernetes sed cor DNs calico. Doctor Engineer. All the different bits and pieces that not only work independently but are validated toe work together as a staff appropriate for production, humanities, adopted enterprise environments. >>Yep. From the bottom of the stack to the top, we actually test it for scale. Test it for CVS, test it for all of the various things that would, you know, result in issues with you running the application services. And I've got to tell you from having, you know, managed kubernetes deployments and things like that that if you're the one doing it yourself, it can get rather messy. Eso This makes it easy. >>Bruce, you were staying a second ago. They I'll take you at least fifteen minutes to install your release. Custer. Well, sure, but what would all the other bits and pieces you need toe? Not just It's not just about pressing the button to install it, right? It's making the right decision. About what components work? Well, our best tested toe be successful working together has a staff? Absolutely. We this release mechanism and Dr Enterprise Container Cloud. Let's just kind of package up that expert knowledge and make it available in a really straightforward, fashionable species. Uh, pre Confederate release numbers and Bruce is you're pointing out earlier. He's got delivered to us is updates kind of transparent period. When when? When Sean wanted toe update that cluster, he created little update. Custer Button appeared when an update was available. All you gotta do is click. It tells you what Here's your new stack of communities components. It goes ahead. And the straps those components for you? >>Yeah, it actually even displays at the top of the screen. Ah, little header That says you've got an update available. Do you want me to apply? It s o >>Absolutely. Another couple of cool things. I think that are easy to miss in that demo was I really like the on board Bafana that comes along with this stack. So we've been Prometheus Metrics and Dr Enterprise for years and years now. They're very high level. Maybe in in previous versions of Dr Enterprise having those detailed dashboards that Ravana provides, I think that's a great value out there. People always wanted to be ableto zoom in a little bit on that, uh, on those cluster metrics, you're gonna provides them out of the box for us. Yeah, >>that was Ah, really, uh, you know, the joining of the Miranda's and Dr teams together actually spawned us to be able to take the best of what Morantes had in the open stack environment for monitoring and logging and alerting and to do that integration in in a very short period of time so that now we've got it straight across the board for both the kubernetes world and the open stack world. Using the same tool sets >>warm. One other thing I wanna point out about that demo that I think there was some questions about our last go around was that demo was all about creating a managed workplace cluster. So the doctor enterprise Container Cloud managers were using those aws credentials provisioned it toe actually create new e c two instances installed Docker engine stalled. Doctor Enterprise. Remember all that stuff on top of those fresh new VM created and managed by Dr Enterprise contain the cloud. Nothing unique about that. AWS deployments do that on open staff doing on Parramatta stuff as well. Um, there's another flavor here, though in a way to do this for all of our long time doctor Enterprise customers that have been running Doctor Enterprise for years and years. Now, if you got existing UCP points existing doctor enterprise deployments, you plug those in to Dr Enterprise Container Cloud, uh, and use darker enterprise between the cloud to manage those pre existing Oh, working clusters. You don't always have to be strapping straight from Dr Enterprises. Plug in external clusters is bad. >>Yep, the the Cube config elements of the UCP environment. The bundling capability actually gives us a very straightforward methodology. And there's instructions on our website for exactly how thio, uh, bring in import and you see p cluster. Um so it it makes very convenient for our existing customers to take advantage of this new release. >>Absolutely cool. More thoughts on this wonders if we jump onto the next video. >>I think we should move press on >>time marches on here. So let's Let's carry on. So just to recap where we are right now, first video, we create a management cluster. That's what we're gonna use to create All our downstream were closed clusters, which is what we did in this video. Let's maybe the simplest architectures, because that's doing everything in one region on AWS pretty common use case because we want to be able to spin up workload clusters across many regions. And so to do that, we're gonna add a third layer in between the management and work cluster layers. That's gonna be our regional cluster managers. So this is gonna be, uh, our regional management cluster that exists per region that we're going to manage those regional managers will be than the ones responsible for spending part clusters across all these different regions. Let's see it in action in our next video. >>Hello. In this demo, we will cover the deployment of additional regional management. Cluster will include a brief architectural overview, how to set up the management environment, prepare for the deployment deployment overview, and then just to prove it, to play a regional child cluster. So looking at the overall architecture, the management cluster provides all the core functionality, including identity management, authentication, inventory and release version. ING Regional Cluster provides the specific architecture provider in this case, AWS on the L C M components on the d you speak cluster for child cluster is the cluster or clusters being deployed and managed? Okay, so why do you need original cluster? Different platform architectures, for example AWS open stack, even bare metal to simplify connectivity across multiple regions handle complexities like VPNs or one way connectivity through firewalls, but also help clarify availability zones. Yeah. Here we have a view of the regional cluster and how it connects to the management cluster on their components, including items like the LCN cluster Manager. We also machine manager. We're hell Mandel are managed as well as the actual provider logic. Okay, we'll begin by logging on Is the default administrative user writer. Okay, once we're in there, we'll have a look at the available clusters making sure we switch to the default project which contains the administration clusters. Here we can see the cars management cluster, which is the master controller. When you see it only has three nodes, three managers, no workers. Okay, if we look at another regional cluster, similar to what we're going to deploy now. Also only has three managers once again, no workers. But as a comparison is a child cluster. This one has three managers, but also has additional workers associate it to the cluster. Yeah, all right, we need to connect. Tell bootstrap note, preferably the same note that used to create the original management plaster. It's just on AWS, but I still want to machine Mhm. All right, A few things we have to do to make sure the environment is ready. First thing we're gonna pseudo into route. I mean, we'll go into our releases folder where we have the car's boot strap on. This was the original bootstrap used to build the original management cluster. We're going to double check to make sure our cube con figures there It's again. The one created after the original customers created just double check. That cute conflict is the correct one. Does point to the management cluster. We're just checking to make sure that we can reach the images that everything's working, condone, load our images waken access to a swell. Yeah, Next, we're gonna edit the machine definitions what we're doing here is ensuring that for this cluster we have the right machine definitions, including items like the am I So that's found under the templates AWS directory. We don't need to edit anything else here, but we could change items like the size of the machines attempts we want to use but the key items to ensure where changed the am I reference for the junta image is the one for the region in this case aws region of re utilizing. This was an open stack deployment. We have to make sure we're pointing in the correct open stack images. Yeah, yeah. Okay. Sit the correct Am I save the file? Yeah. We need to get up credentials again. When we originally created the bootstrap cluster, we got credentials made of the U. S. If we hadn't done this, we would need to go through the u A. W s set up. So we just exporting AWS access key and I d. What's important is Kaz aws enabled equals. True. Now we're sitting the region for the new regional cluster. In this case, it's Frankfurt on exporting our Q conflict that we want to use for the management cluster when we looked at earlier. Yeah, now we're exporting that. Want to call? The cluster region is Frankfurt's Socrates Frankfurt yet trying to use something descriptive? It's easy to identify. Yeah, and then after this, we'll just run the bootstrap script, which will complete the deployment for us. Bootstrap of the regional cluster is quite a bit quicker than the initial management clusters. There are fewer components to be deployed, but to make it watchable, we've spent it up. So we're preparing our bootstrap cluster on the local bootstrap node. Almost ready on. We started preparing the instances at us and waiting for the past, you know, to get started. Please the best your node, onda. We're also starting to build the actual management machines they're now provisioning on. We've reached the point where they're actually starting to deploy Dr Enterprise, he says. Probably the longest face we'll see in a second that all the nodes will go from the player deployed. Prepare, prepare Mhm. We'll see. Their status changes updates. It was the first word ready. Second, just applying second. Grady, both my time away from home control that's become ready. Removing cluster the management cluster from the bootstrap instance into the new cluster running a data for us? Yeah, almost a on. Now we're playing Stockland. Thanks. Whichever is done on Done. Now we'll build a child cluster in the new region very, very quickly. Find the cluster will pick our new credential have shown up. We'll just call it Frankfurt for simplicity. A key on customers to find. That's the machine. That cluster stop with three manages set the correct Am I for the region? Yeah, Same to add workers. There we go. That's the building. Yeah. Total bill of time. Should be about fifteen minutes. Concedes in progress. Can we expect this up a little bit? Check the events. We've created all the dependencies, machine instances, machines. A boat? Yeah. Shortly. We should have a working caster in the Frankfurt region. Now almost a one note is ready from management. Two in progress. On we're done. Trust us up and running. >>Excellent. There we have it. We've got our three layered doctor enterprise container cloud structure in place now with our management cluster in which we scrap everything else. Our regional clusters which manage individual aws regions and child clusters sitting over depends. >>Yeah, you can. You know you can actually see in the hierarchy the advantages that that presents for folks who have multiple locations where they'd like a geographic locations where they'd like to distribute their clusters so that you can access them or readily co resident with your development teams. Um and, uh, one of the other things I think that's really unique about it is that we provide that same operational support system capability throughout. So you've got stack light monitoring the stack light that's monitoring the stack light down to the actual child clusters that they have >>all through that single pane of glass that shows you all your different clusters, whether their workload cluster like what the child clusters or usual clusters from managing different regions. Cool. Alright, well, time marches on your folks. We've only got a few minutes left and I got one more video in our last video for the session. We're gonna walk through standing up a child cluster on bare metal. So so far, everything we've seen so far has been aws focus. Just because it's kind of easy to make that was on AWS. We don't want to leave you with the impression that that's all we do, we're covering AWS bare metal and open step deployments as well documented Craftsman Cloud. Let's see it in action with a bare metal child cluster. >>We are on the home stretch, >>right. >>Hello. This demo will cover the process of defining bare metal hosts and then review the steps of defining and deploying a bare metal based doctor enterprise cluster. Yeah, so why bare metal? Firstly, it eliminates hyper visor overhead with performance boost of up to thirty percent provides direct access to GP use, prioritize for high performance wear clothes like machine learning and AI, and support high performance workouts like network functions, virtualization. It also provides a focus on on Prem workloads, simplifying and ensuring we don't need to create the complexity of adding another hyper visor layer in between. So continuing on the theme Why communities and bare metal again Hyper visor overhead. Well, no virtualization overhead. Direct access to hardware items like F p g A s G p, us. We can be much more specific about resource is required on the nodes. No need to cater for additional overhead. We can handle utilization in the scheduling better Onda. We increase the performance and simplicity of the entire environment as we don't need another virtualization layer. Yeah, In this section will define the BM hosts will create a new project. Will add the bare metal hosts, including the host name. I put my credentials. I pay my address, Mac address on, then provide a machine type label to determine what type of machine it is. Related use. Okay, let's get started Certain Blufgan was the operator thing. We'll go and we'll create a project for our machines to be a member off. Helps with scoping for later on for security. I begin the process of adding machines to that project. Yeah. Yeah. So the first thing we had to be in post many of the machine a name. Anything you want? Yeah, in this case by mental zero one. Provide the IAP My user name. Type my password? Yeah. On the Mac address for the active, my interface with boot interface and then the i p m i P address. Yeah, these machines. We have the time storage worker manager. He's a manager. We're gonna add a number of other machines on will speed this up just so you could see what the process. Looks like in the future, better discovery will be added to the product. Okay, Okay. Getting back there. We haven't Are Six machines have been added. Are busy being inspected, being added to the system. Let's have a look at the details of a single note. Mhm. We can see information on the set up of the node. Its capabilities? Yeah. As well as the inventory information about that particular machine. Okay, it's going to create the cluster. Mhm. Okay, so we're going to deploy a bare metal child cluster. The process we're going to go through is pretty much the same as any other child cluster. So credit custom. We'll give it a name. Thank you. But he thought were selecting bare metal on the region. We're going to select the version we want to apply on. We're going to add this search keys. If we hope we're going to give the load. Balancer host I p that we'd like to use out of the dress range update the address range that we want to use for the cluster. Check that the sea idea blocks for the communities and tunnels are what we want them to be. Enable disabled stack light and said the stack light settings to find the cluster. And then, as for any other machine, we need to add machines to the cluster. Here we're focused on building communities clusters. So we're gonna put the count of machines. You want managers? We're gonna pick the label type manager on create three machines. Is a manager for the Cuban a disgusting? Yeah, they were having workers to the same. It's a process. Just making sure that the worker label host like you are so yes, on Duin wait for the machines to deploy. Let's go through the process of putting the operating system on the notes, validating that operating system. Deploying Docker enterprise on making sure that the cluster is up and running ready to go. Okay, let's review the bold events. We can see the machine info now populated with more information about the specifics of things like storage. Yeah, of course. Details of a cluster, etcetera. Yeah, Yeah. Okay. Well, now watch the machines go through the various stages from prepared to deploy on what's the cluster build, and that brings us to the end of this particular do my as you can see the process is identical to that of building a normal child cluster we got our complaint is complete. >>Here we have a child cluster on bare metal for folks that wanted to play the stuff on Prem. >>It's ah been an interesting journey taken from the mothership as we started out building ah management cluster and then populating it with a child cluster and then finally creating a regional cluster to spread the geographically the management of our clusters and finally to provide a platform for supporting, you know, ai needs and and big Data needs, uh, you know, thank goodness we're now able to put things like Hadoop on, uh, bare metal thio in containers were pretty exciting. >>Yeah, absolutely. So with this Doctor Enterprise container cloud platform. Hopefully this commoditized scooping clusters, doctor enterprise clusters that could be spun up and use quickly taking provisioning times. You know, from however many months to get new clusters spun up for our teams. Two minutes, right. We saw those clusters gets better. Just a couple of minutes. Excellent. All right, well, thank you, everyone, for joining us for our demo session for Dr Enterprise Container Cloud. Of course, there's many many more things to discuss about this and all of Miranda's products. If you'd like to learn more, if you'd like to get your hands dirty with all of this content, police see us a training don Miranda's dot com, where we can offer you workshops and a number of different formats on our entire line of products and hands on interactive fashion. Thanks, everyone. Enjoy the rest of the launchpad of that >>thank you all enjoy.
SUMMARY :
So for the next couple of hours, I'm the Western regional Solutions architect for Moran At least somebody on the call knows something about your enterprise Computer club. And that's really the key to this thing is to provide some, you know, many training clusters so that by the end of the tutorial content today, I think that's that's pretty much what we had to nail down here. So the management costs was always We have to give this brief little pause of the management cluster in the first regional clusters to support AWS deployments. So in that video are wonderful field CTO Shauna Vera bootstrapped So primarily the foundation for being able to deploy So this cluster isn't yet for workloads. Read the phone book, So and just to make sure I understood The output that when it says I'm pivoting, I'm pivoting from on the bootstrap er go away afterwards. So that there's no dependencies on any of the clouds that get created thereafter. Yeah, that actually reminds me of how we bootstrapped doctor enterprise back in the day, The config file that that's generated the template is fairly straightforward We always insist on high availability for this management cluster the scenes without you having toe worry about it as a developer. Examples of that is the day goes on. either the the regional cluster or a We've got the management cluster, and we're gonna go straight with child cluster. as opposed to having to centralize thumb So just head on in, head on into the docks like the Dale provided here. That's going to be in a very near term I didn't wanna make promises for product, but I'm not too surprised that she's gonna be targeted. No, just that the fact that we're running through these individual So let's go to that video and see just how We can check the status of the machine bulls as individuals so we can check the machine the thing that jumped out to me at first Waas like the inputs that go into defining Yeah, and and And that's really the focus of our effort is to ensure that So at that point, once we started creating that workload child cluster, of course, we bootstrapped good old of the bootstrapping as well that the processes themselves are self healing, And the worst thing you could do is panic at the first warning and start tearing things that don't that then go out to touch slack and say hi, You need to watch your disk But Sean mentioned it on the video. And And the kubernetes, uh, scaling methodology is is he adhered So should we go to the questions. Um, that's kind of the point, right? you know, set up things and deploy your applications and things. that comes to us not from Dr Enterprise Container Cloud, but just from the underlying kubernetes distribution. to the standards that we would want to set to make sure that we're not overloading On the next video, we're gonna learn how to spin up a Yeah, Do the same to add workers. We got that management cluster that we do strapped in the first video. Yeah, that's the key to this is to be able to have co resident with So we don't have to go back to the mother ship. So it's just one pane of glass to the bootstrapped cluster of the regional services. and another, you know, detail for those that have sharp eyes. Let's take a quick peek of the questions here, see if there's anything we want to call out, then we move on to our last want all of the other major players in the cloud arena. Let's jump into our last video in the Siri's, So the first thing we had to be in post, Yeah, many of the machine A name. Much the same is how we did for AWS. nodes and and that the management layer is going to have sufficient horsepower to, are regional to our clusters on aws hand bear amount, Of course, with his dad is still available. that's been put out in the chat, um, that you'll be able to give this a go yourself, Uh, take the opportunity to let your colleagues know if they were in another session I e just interest will feel for you. Use A I'm the one with the gray hair and the glasses. And for the providers in the very near future. I can hardly wait. Let's do it all right to share my video So the first thing is, we need those route credentials which we're going to export on the command That is the tool and you're gonna use to start spinning up downstream It just has to be able to reach aws hit that Hit that a p I to spin up those easy to instances because, and all of the necessary parameters that you would fill in have That's the very first thing you're going to Yeah, for the most part. Let's now that we have our management cluster set up, let's create a first We can check the status of the machine balls as individuals so we can check the glitches, resolve themselves and leave you with a functioning workload cluster within exactly the same thing with resource is on Prem or resource is, All the different bits and pieces And I've got to tell you from having, you know, managed kubernetes And the straps those components for you? Yeah, it actually even displays at the top of the screen. I really like the on board Bafana that comes along with this stack. the best of what Morantes had in the open stack environment for monitoring and logging So the doctor enterprise Container Cloud managers were Yep, the the Cube config elements of the UCP environment. More thoughts on this wonders if we jump onto the next video. Let's maybe the simplest architectures, of the regional cluster and how it connects to the management cluster on their components, There we have it. that we provide that same operational support system capability Just because it's kind of easy to make that was on AWS. Just making sure that the worker label host like you are so yes, It's ah been an interesting journey taken from the mothership Enjoy the rest of the launchpad
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Day 2 Kickoff | ServiceNow Knowledge15
live from Las Vegas Nevada it's the cute covering knowledge 15 brought to you by service now okay hello everyone we are live for day two of coverage this is the cube our flagship program we go out to the events and extract the signal noise we go over here live in service now's knowledge 15 hashtag no 15 you want to join the conversation we have a back channel live chat on crowd chat new application which I'm excited Dave to show the guys from Sarah's neck as they love good software so but a crowd shot net / no 15 and see the conversation ask questions join our virtual social experience and we'll be happy to address that with your day to coverage live in Las Vegas out of three full days yesterday was a great day we had Frank sloop enough CEO opening up the day really laying down and and in clarifying the future of service now certainly they took a bath on the the stock last week on their earnings still in throwing off a lot of lot of cash great platform business great buying opportunity as Dave and I were speculating and ended the day with John Cleese famous actor writer comedian who we had some fun we try to bring a little bit of Jon Stewart a little bit of Jimmy Fallon I'm jump Road Dave vellante Dave what you think about yes that your laptop working parts of my lap water here I've lost my return key in my M so what you think John Cleese k the holy grail of our of our of our program yesterday he was great I mean we had a nice little bit going on there all ad lib just for the record folks he was not pissed he was totally happy at a great time but was all ad-lib he challenged us on the cube and it was great seeing after we were nervous and he's a pro we couldn't even hold a candle to his performance David it was great seeing him afterwards he came up to us yellow hey mr. classy came up and high-five and a smiling laughing it was great smart guy what you think of the inter very opinionated I thought the interview was great I mean it was weird but it was great I top guest top test of six years he's on a great show we had about you know 50 people behind that's all watching so it was really a lot of fun again but let's get back to the event here day two well you know another top guest coming up today is Fred ludie I think you're really going to enjoy interviewing and you heard him on the keynote John he was talking about the new development platform the new UI the new mobile app all that he was geeking out on all the technologies a lot of things that you're very familiar with borrowing from you know real-time geolocation leveraging the camera in the mobile app a lot of technologies borrow from Facebook and Twitter and a whole that whole real-time crowd a lot of stuff that that that crowd chat uses I know you talk about it all the time angularjs and all these kind of things that people don't understand our new crowd chat application go to crouch at that poke around look at the live one but what you'll notice on that app is one hundred percent as synchronous we use cutting-edge technologies like bootstrap we use angularjs and our new crowd pages coming out we have knowed Java on the backend for analytics really a cross-section of all the different language but node bootstrap angular these are the technologies that truly make it a singer's Facebook by the way is not a synchronous you've got to load the page having a synchronous communications loose from WebSockets days of web browser to fully available data real-time so near real-time is the holy grail today and basically instant is going to be defensive state-of-the-art today in software development that's what service now is showing on the stage and again a lot of it resonated because I hear you talking about all the time and I see it I see the green dot I see the presence I see the real-time nature and that's really what today's modern apps are all about and we'll talk about that today in detail what's under the hood for service now and again I can reiterate what a great software platform service now has I am super impressed the people here a passion about what they do Dave and I say you know we're going to get with Fred and here the founder story the prot chief product officer and all his folks because what they're building is the future generation Frank's Ludeman is a world-class CEO we heard the story of how he was hired you know Fred Letty said his keynote I wake up every day and I want to write code I don't want to be the CEO they hired Frank's luqman built a great business but not only do they have great business fundamentals and how they're executing their business plan Dave they have a great product leadership team the founder stays around every successful company that I talked to and i can highlight you look at them you name them all the ones that are the really sustainable companies Dave the founder stays around this is a lesson that the top VCS and Silicon Valley and around the world are now paying attention to is do not boot the founders out of the company marc andreessen with injuries Horowitz absolutely adamant founder friendly means growth and sustainability the old days of kick the founder out don't work ServiceNow is a great case study of a company that has grown from a seed idea go to market one booth at a show get some customers get some funding have a grade VC build a great product and continually to go to the next level and I think that's the story for us today what's the next level for service now what is that and you're going to see two major themes cloud born in the cloud capabilities asynchronous real-time presidents to enterprise grade enterprise-grade means you can't you can be born in the cloud and enterprise grade that's the Holy Grail Dave that is the key question people ask can you be enterprise-grade can you be agile can you have integrated stacks can you do stuff in real time and do it at a speed and at a scale that's the premise of the cloud and service now is delivering that so even my take on that so I mean you're talking about a cool tech behind it and there's a whole nother story here and Fred muddy and Dave right took us down memory lane today you know sort of the history of the company and going back to the original first knowledge and San Diego showed some pictures that was all fine and well and good but the fact is the piece that I want to add to what you just said is the customer angle I treated out yesterday Frank's lubin has made a career and identifying pain points and resolving those pain points essentially selling aspirin is what I call it and so that's what service now is doing there resolving the pain points within organizations it was interesting to note Dave right and Fred Lunney talked about how in 2008 when the economy was collapsing and Sequoia Capital you remember John put out that famous memo you better you hunker down conserve cash and Fred ludie showed the audience his counterpoint and basically it makes sense to me because what happened in 2008-2009 is people said let's let's start moving to the cloud more aggressively let's ship shift capex to op X and let's try to save money and service now is one of those technologies that really you know is all about saving money we kind of lived through that John right we were the open source version of information and so we have tons of demand around that time for our content service now in a whole different world saw uptick in demand and so they are really out solving customer problems dealing with process problems we're now seeing sort of the next wave the next evolution of that around email and how email is used as a workflow management system and is ineffective at that the hole forms business going to mobile and you saw today in the mobile apps it wasn't forms oriented it wasn't forms front and center forms is still there but it wasn't all about the forms it was all about the mobile experience so they're transitioning from this sort of forms based automation to one that's more mobile optimized that's something to talk to Fred yeah I think I think which day was your pointing out is is that the highlight of during a crisis at Fred Letty pointed out in OA at a critical inflection point of the company Sequoia Capital issued out a memo to all their portfolio come a little bit inside baseball but important to note that they said bunker down hunker down filled a bunker hoard your cash service now and this is where I love this company right they wrote a counter memo to their customers and the venture has a no no this is the winds are shifting we see an opportunity because their customers were going under or having financial problems they shifted their product value proposition to saving cash consolidation and creating an opportunity out of the crisis and I think this is the opportunity with cloud as you pointed out you seeing a transformation in workflows you're seeing a transformation in business process that is changing the game in terms of you know time to value cost structures and then the economics that's the promise of the cloud so again the companies that can take advantage of the times of the shifts and the inflection point because what's happening is the shift is happening and as an inflection point so yeah I think everybody talks about and it's so overused now seventy percent of the money that I t spends is on on keeping the lights on and and only thirty percent is on innovation I like to look it a little differently I like to break it down when i had my cio consultancy with floyer we used to consult and try to get the others to think about putting their portfolio into three categories their application portfolio in the project portfolio running the business growing the business in transforming the business and i think if you think about those things i think servicenow is very transformative and our helping companies run the business differently and grow the business as well so they're sort of fit into all three but they start with transformation and then change the way that people are running the business I think that's a much more effective way to look at that hole 7030 mix and I think service now is changing the way companies work what do you think about service now see earnings are we're out last week EMC report a little bit down VMware blew it away covering for emc you're seeing the big enterprise players service now take a big knife cut on Friday but that's Frank's lubin pointed out there in the long game and they have a platform play and they're throwing up a lot of cash so their cash flow is amazing Wall Street Journal has some articles about this kind of shift that we in a bubble is service now built for the long haul I want your opinion on this Frank subin weighed in on his and I think the software's phenomenal but let's talk about that yeah let's really his wall street not understanding about service so let's recap what happened on Friday service now announced earnings the stock had hit about a 12 billion dollar valuation which is you know sort of the highest valuation roughly that it had hit and people were getting used to service now continuingly continuously beating expectations well they met expectations actually beat by a little they had but they guided lower because of currency headwinds everybody's facing headwinds you saw EMC missed by about fifteen percent and it's you know this week and so all the companies and earnings releases are saying all right we're being more cautious because of currency fluctuations right the dollars getting stronger as a result you're translating international currency back into fewer dollars means less earnings so on an apples-to-apples basis servers now continued to blow it away they grew fifty percent plus but they guided lower they're a little bit more conservative so with the street did is they took about a billion dollars out of the valuation now since then it's come back a little bit it's not not come back to ten points to the loss but i see this john is a very very positive opportunity you said that you call it a buying opportunity i think it probably is you know who knows the markets choppy and maybe maybe you companies like service now that are high flyers you might see them you know up and down evan flow but here's the point and I think you've made this as well they are built for the long term and here's why they they started out in what everybody thought was a very small they've got a 40 to 50 billion dollar total available market that they're going after they're just scratching the surface right now they've got leading-edge technology they're killing the competition and they're growing into new places where typically these types of companies don't go the traditional IT service management folks where are they going they're automating service management not only with an IT but also within HR within finance within legal anything that's service oriented and their billet going after email if it's maybe it's be even bigger than a 40 or 50 billion dollar market so they got a big market they got great tech they got great management so I think there's a lot of room for this company to grow can they go to the collaboration space that's gonna be the question means all about email how much collaborative even ibn about competing with with this with companies like work they went all out HRM well well a CRM a Salesforce i think is a potential big competitor down the road i think they're on a collision course with force calm and Heroku and you know all those app development you know activities that those guys are doing but that's it's early there but I see that yeah damn your point about sales force this is why I think its dangers for sales forces why I think you know maybe we're kind of opening up the kimono here on service now because we're reading the tea leaves but what em what Amazon is done for the cloud and what we're doing with crouched at servicenow is doing for iit meaning they're building integrated technologies for a variety of different use cases that quite frankly it's it's enabling so sales forces cobbling together a bunch of stuff they got chatter I got this and when you put monolithic systems together and try to match them together into quote a you know fake stack that's really not going to work so I think the challenge for the incumbent companies like Salesforce and others is if you cobble together technologies and don't integrate them in there for this new real-time clouded native born in the cloud mentality and have the enterprise grade you will lose some territory so service now is doing both of those and they could take territory very quickly so they're humble saying no no we're not competing I know we got to go but last thing I'll say this frank says ITR our homies that's the Franks lupins you know so it talks about IT and the reason why I see that as a big advantages i T is the one part of the organization that has purview over the entire organization so a single cmdb with nit is very and whoever controls the data will be very interesting so real time having the data having the platform will give you a lot better horizontal platform I love what service now is doing again we're going to go this is our pep in by the way and this is not their messaging but we will probe all the guests Dave we're going to kick off date you this is our intro for day two wall-to-wall coverage when we hear all day here at in Las Vegas with service now nawlins 15 this is the cube I'm John for Dave vellante thanks for watching stay tuned and all day today thats is the cube we'll be right back after this short break
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Venture Capitals Talk: Where's The Money In Cloud? | VMworld 2010
okay we're back at SiliconANGLE comms continues coverage of vm world 2010 in the cube with a discussion with venture capitalists who are investing in all the next hot startups software companies infrastructure companies we all know three par two billion dollars is big big wins out there and data domain was a big acquisition and we're here with three venture catalyst to my left is charles beeler from El Dorado ventures and he's done a bunch of storage cloud deals Pete sonsini from NEA and ping li from accel partners so guys welcome welcome to the segment so first question we just go down the line real quick on a scale of 1 to 10 how would you rate the overall investment climate for startups in cloud startups the cloud I'd say pretty close to seven eight nine you know the negative right now is a little bit more around the funding environment than the opportunity for the companies and I think you as venture guys you really have to go to look past that and see the opportunities for the businesses and fortunately got three groups here of capital put to work so you can actually fund these things it's the biggest challenge we're seeing out there right now great Pete yeah i agree i mean it's it's definitely 89 if there's a hot sector or enterprise related it's certainly cloud cloud related you the backdrop is relates to overall venture climate you know casa paypal and affects the investment in this area a little bit but everybody knows this is a big change the ecosystem is creating tons of opportunities for new businesses and so everybody's very focused on it really minute they're missing it yeah i agree i think in terms of areas of excitement enthusiasm with entrepreneurs it's definitely nine or ten i think it it's not just on the infrastructure side as well i think if you look across you know our portfolio i'm sure it's the same with Pete and Charles you know three quarters of the companies are actually built on cloud infrastructure now so there's no more servers or data rooms at any of the startups and we work with so i think there's up and down the stack from the applications down the infrastructure there's a lot of enthusiasm for what the cloud can bring great same same same process right down the line and another question is how do you guys evaluate a company these days because it's so easy to fake out a VC if they're not smart about throwing some clouds stuff up there making it look great at a rails front end doing some voodoo I mean is there a new model of evaluating an entrepreneur or startup the old days it was hey what's Stanford at a PhD look at this unique IP with a patent now it's a really fast Market things going crazy how do you guys look at deals and evaluate entrepreneurs and startups I for me it still comes down to the team and I don't really care where they went to school I care what they know about the market they're going after you know to the extent they're going they're going after something in virtualization and cloud layer storage the pedigree matters a lot at what are they done before that shows they understand the market they're going after I'm hoping that the operators we back know a lot more about the market they're pursuing that I could so if they're really good at it you know i'm not going to keep up on that piece of it i just want to make sure they understand it to understand how they fit the ecosystem you can drive it and the stage we invest it really is all about the team because good teams have good ideas and they know how to pursue them he yeah I mean you can be aware of the trends but you don't know everything about everything there's no way you possibly can so you you try to narrow it down to you know generally speaking it's its people its markets its business traction is technology I think at the end of the day it comes back to those same four things most the time and everybody's got their own personal filter as to what they like to optimize around I think for the deals that that will do in one of those four categories you know and others i think one of them really has to be out off the charts to grab your attention to want to do the deal but i think it still goes back to you know people technology markets and and the passion behind the entre nerd is the ant really have that privileged insight and the opportunity they really know this market and this opportunity and how to exploit it better than everybody else and being the gauge of that is you know at the end of the day that that's probably the most important thing because as I say you're not going to know you're not going to know everything everything about every and you can't expect you anywhere close to that so you try to find those those individuals that really do have that key in so it inside the exploited opportunity so that's how we would look at it today thank you yeah i agree i think the fundamentals of what we look for in a company hasn't really changed i think the sectors and trans as you as you noted have changed a lot and i think there's still the constant tension that we see between kind of features and actual category defining breakdown companies but i think that is a you know a lot of times when you see a new market like cloud computing the first wave of a lot of the ideas are more features or trying to evolving existing platforms and then the next generation of the emerging ideas are are going to be more kind of the category platform type opportunities so trying to kind of parse out which one is which is not an easy task is something we spent a lot of time on I think the other big changes capital efficiency I think a lot of these companies are able to get to market with a lot less capital because the tools and resources whether it's open source products or you know things like ec2 s3 really change how companies can get to market much faster so that's something we do look for if you can build it and get market faster let's see it as opposed to building for three years and then created the markets there I mean capital efficiency is a great entrepreneurs of great at bootstrap so they love clouds okay I can do a data center for 20,000 in three countries yeah so let's talk about that i mean let's a couple efficiencies one thing and you guys provide a lot of funding but now momentum has always been the thing you could be capital efficient and never never make the market so it's about momentum where do you guys see the most momentum in cloud cloud related things we have end-user environments with the beady eye stuff at some desktop mobile obviously in the middle where that model is changing and an infrastructure that network at the plumbing storage what do you guys see the most momentum and most fertile for entrepreneurs to stay a safe harbor if you will do you see that anything out there I mean clearly the place you're going to see the most momentum is the closer you get to the end user of a product that if something's getting adopted quickly and wrapping quickly and if you're hosting that Klaus a lot easier to get deployment continue to deploy and meet that scale I think as you look at more the infrastructure the guts and things that are going on it we're pretty big believers that while virtual desktop is still early in terms of Enterprise usage we think it's at the point now with technology has evolved far enough that it's ready to go we made a bet and recently we just we think that's a market that's starting to gain momentum and when it happens we think will happen quickly I think in a lot of these other areas there are great opportunities but in some ways it's still company-specific if someone really figures out how to take advantage of a technology and leverage something whether it's software infrastructure Network it's more the company getting it and getting it right and you're seeing that today and you mentioned some of these acquisitions it's companies you figure that out understood how to get that wave and catch it and hit it at the right time yeah I mean I think that you know you want to get it you want to get in before the momentum hits I mean that's really where the money's made in venture capitals is getting in ahead of the ways before they all head and you know so so there's certainly exciting there's plenty of excitement around the cloud to spread around and and you know you point out what year as you like the best which ones yes I think that you point out platform as a service and private clouds there's a lot of excitement around there right now I think it's because it's you know it's kind of open field it's is there's huge growth prospects ahead of it there's no real dominant player and the venture investors mines kind of go why you know kind of go crazy thinking about where you know how big this opportunity could be without really that many proof points category not for him you're saying categories not formed yet one two and three I'd approve you know it with private clouds taking private class or as an example there's clearly a lot of interest and talk around IT organizations about private clouds people are talking about it how many deployments are there there's actually you know not you know not commensurate with the hype and so you know you have to discount that back and so you know there's still a lot of interest there's there are always going to be interest from venture investors and things like that but the end of the day you know you're taking a leap of faith that i materialized and something like that it's just not there yet yeah well you had data domain in your confirm a date of domain acquisition that was a big exit three far just went when or going to HP it looks like so you know there's big deals to be had I mean big big meals you know there's you know as it relates to virtualization and cloud is really shaking up the entire that we all know that we all know it's it's a big change in all these areas are presenting huge opportunities for new businesses and really novel technology to come in and capitalize on them and even though traditional areas like storage which is you know storage I mean it's it's boring old storage but no it's crazy yeah there are the rules exactly but it's crazy things happen and there's a lot of innovation be had as it relates to cloud and yeah Charles knows with companies that he has this thing so paying you you're on the board of an investment that you have a cloud era which we were familiar with their friends of ours in Palo Alto they serviced the Hadoop platform and it's an open source project commercializing it but you have big cloud players out there that have a product that they don't sell they just use like Facebook Google Amazon so so there's a whole nother world of big data and data is the big themes in this conference and the world what is your view of that trend of data the tsunami of datas Michaelson would say at Cloudera what is your view on that yeah I think it ties really well into a lot of the conversations I think you got your having around virtualization and cloud computing because if you look at what cloud computing is doing its actually reinventing the entire computing stack from it was there was mainframe whose client server there's web and heathers cloud computing so I think there's opportunities that all the layers of the stack i think what cloud era is focused on is around the data layer and i think what you mentioned that the Big Data trend is one that one could argue start in a web world because they were pushing the envelopes of data when Facebook Yahoo and google were collecting click streams and then trolling the entire web to figure out you know what's what's relevant to two different people i think that amount of data has really pushed the envelope with today's database technologies i think what cloud air and Hadoop is trying to do is change the boundaries of what data can do and what database technology and data management technologies can do so I think one thing we've seen a clatter is everyone's got big data we most of the customer we talked to always start off with a terabyte before the end of the conversation they find it petabytes so the reason why people didn't have all the data back place is because they were throwing them away there's no cheap efficient way to store and derive value from semi-structured or unstructured data so they were kind of going to waste I think now with technologies such as a dupe you can really change that that paradigm around and you can do analytics you can do a lot more data data management capabilities you couldn't do before it's hard to think of a better guy than Michaelson to run something like that yeah he's a good he's a good guy great guy the question about scale and startups dynamic so let's talk about from a starter's perspective they're out there they can deal with in Super Angel has been in the news we've covered that in SiliconANGLE you guys are venture capitalists and you deal with big deals if ficient to get started off the ground what advice you have to an entrepreneur out there they want a good bc they want to have someone's not going to screw them over hey what someone is going to grow with them help them navigate and reduce their risk as well and go to the market be successful so what advice do you have to offer up there about navigating the I need to get financed I have a prototype I'm going to fill this white space of a VMware platform or do this and that what was your back was your eyes by speak I'm sure we agree that you just go to El Dorado start there do your series be with one of these guys a lot of ways it really depends on what your business is we talked about capital efficiency but if you're building a storage solution if you're building complex technology it's going to take 12-18 months to build and get to market you got to be funded to get through that point the hardest van sings today are the series b financing for these companies if you don't appropriately find your company through the series a give yourself time to get to market get the product out have some customers work with it it's going to be really hard to raise a good following financing around as an entrepreneur you suffer the most frankly because you've suffered dilution from that more capital efficient deals you know and really smart super angels say the same thing the best deals they've ever done they may have done it on their own initially but most of those over time taking of capital that to not raise venture money would be a very challenging thing to do it to really build it a profile you're saying if you want to build a real big business go to a serious VC absolutely and if you need to start if you want to start small at few million bucks because your idea only takes that to start great most of the companies that we're seeing the cloud space are not companies or didn't get to profitability on two million dollars and as an entrepreneur if you really think that's going to happen you should look very hard to your business and look at all the comps around your business and see how many of them were able to do it and if none of them were you guys question what's so unique about our model it's different or show to be planning to get more tableau most most most hunters don't know that tend not to do follow on financing so that if it's an intensive deal that needs more cash they may not pony up more right I mean I would just add that you know when you're as an entrepreneur looking at a venture for an angel you need to pick a firm that is going to have some money to me to be there for successive financing I mean people don't knocked out of the park every time after their first financing usually they have successive deals and is it up and down drive so you need to have a firm that obviously has money and as deeper as you know there's obviously constraction value where they was very well there's certainly value at the point I was making is that there's contraction in the venture business right now and so there's a lot of pressure on firms you aren't can be able to raise future fun so you got to feel good there's going to be funding there for you down the road is obviously obviously very important and you need to feel good about who you're working with obviously and yeah I mean that the value add is important i mean the network that the firm brings the experience they have in building companies is actually we feel like it's worth something we've we've done that before and you gotta bail you got a lot of success and we think that that can helps i mean we have a bench of entrepreneurs they can you know speak on behalf and hopefully say the same thing but that's the way we look references are a big thing right you're saying but a big part of that value added speed said is having access to additional capital from your initial funding sources knowing that when push comes to shove if things are going well but you're having a hard time raising money out in the market you can come back to your existing group of investors and continue to scale a business the way it needs to be scaled or should be scaled to be successful and that's that is a component of being value add to those companies being there when they need you to really support them through those time paying you work for a blue chip in Excel there you know earned the reputation over the years I say the facebooks a big investment and they got slew of other great investments and you've got a good tracker green cloud what do you say to the folks out this a no just go Super Angel there's some dilution not just in capital but reputation don't you think you know I i think the angels are or the super angels are an important part of the ecosystem for startups I think we work with a lot of angels we have angels in cloud era we have angels a lot of our companies so I think they definitely provide an important you know segment of the creation of startups more and more today than ever because the capital just to fund no I think I think they provide value add just like just like a VC well I think for me it's more the entrepreneur's to decide what they want and where they want the company to go and I think and figuring what the business needs should be able to help you figure out if you go with angels you go with VCS you go with both no combination you bring people at different times I don't think there is there's one formula but I do encourage entrepreneurs not to feel there's only one way to do it there's probably more than one way to do and take the time to figure it out i think the most important thing is get to know the people that will be investing in your company spend the time to get to know the VC we're all very accessible we return emails phone calls whatever it takes and that's true for the angels get to know everyone and I think that will help you make the right decision I saw a quote recently that said it's very hard to get an investor to come into your company but it's ten times harder to get them out and in thanks point me you got to get it right because you know they can absolutely kill a company if you get the wrong ones in yeah and you run out of cash too you're at a business I have that too somewhere I've heard it quite never seen a quick get go to business we have money in the bank Pete guys can you guys comment on facebook what is the Phenom of facebook obviously it's a cloud play for themselves it's a huge platform growing at scale I know ping your company has the big data business and trying to figure out clustering google has that but all my facebook and particularly growing very short history is that a cloud play for enterprises to look at is it a unique data point is that cloud any any takers on that question I'm going to look at the expert the last time I sat on a panel if King was three weeks after they did the initial investment in facebook and I still couldn't get in because it was only for college I mean they are operating a scale they use our open source or writing their own code it is a cloud kind of play yeah I mean I think you know we've had a lot of conversations with different Enterprise architects who are curious in terms of how Facebook has built their data center I think whether it's you know Facebook Google or Yahoo or Amazon it's it's very interesting see how these internet data centers are becoming thought leaders in terms of where some of the new groundbreaking technologies are whether it's in the storage layer networking or compute layer you know Facebook's an early adopter of a lot of these technologies just because they were pushing the boundaries of what can be done with you think it's a proof point though of what as a road map for the enterprises to look at or is it just a unique one-off I I think it is I think you have to be careful about just transplanting things that were done for a consumer web property and all the nuances that you need for an enterprise environment but I think absolutely just like a lot of consumer companies like Facebook to use enterprise technologies right so i think it's just an evolution of you know what they're building will be adapted i think a lot of private cloud stuff that we're investing in is very much borrowing from a lot of the clinical public cloud understandings and then bringing that to an enterprise environment so you talk to the enterprise IT guys and the cios are saying to the architects we want one of those amazon things inside driving yeah that's what they're saying right so I think I think there's a I think that's one sure i think the other trend is the episode we don't want them to have it we don't want them happen right and any other things applications are getting rewritten for different ways in other words people are building applications for ec2 and s3 that our web-based cloud type applications as more of these type applications get built they're going to end up in the enterprise and then the infrastructures gonna have to adapt to the application so i think that cycle just keeps going peep peep for you question for you you've been in the evil attic space in the enterprise obviously an IT was a sector that kind of went dark from a venture perspective seems to be coming back with cloud how are the enterprise IT changing as a marketplace when I say market I mean like a market for entrepreneurs what what do you see that's different now from when you were in the enterprise and you were to HB you worked at some startups in the enterprise it's changing what a what do you want him you know when I was I mean before you're in the venture you know six seven years ago the whole social media you know consumers ation of IT was not really happening so that's a huge change that's impacting enterprise IT landscape but it's it's got you know IT executives running around with their hair on fire and how to deal with so that's in the world of IT that's a huge change since I was in the business eight or nine years ago and it's still you know it's a nun saw there's nobody knows exactly how you know what the right answer is with all these these iPads and so forth entering the world so at the same
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