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Now, especially when you’re just getting started with Kubernetes, it’s okay to write pure yaml files to understand how those resources work, how they interact with your Kubernetes cluster, how you set up deployments, and how Ultimately, your running pods are managed by other Kubernetes resources, such as services and so on. Writing pure yaml files really allows you to dig into those resources and specifications and understand how Kubernetes interprets the pure yaml files into those resources. However, once you start going a bit further and wanting to advance your cluster management and maybe the kind of applications that you deploy to your cluster, you want to use tools that make your life easier. So this week, I’m going to look at some of them today. I’m going to be looking at customization for those who are new to my channel. My name is Anees, and this was the challenge for him to learn something new related to Kubernetes across 100 days. So this video is going to be particularly useful for those who want to teach and improve their teaching because I’m a beginner, and this is quite from a beginner perspective, on how I discover resources and how I learn those and understand them, as well as for those who want to have a really hands-on, inclusive way of understanding what customers are about and just have an overview. So, let’s get started. The reason that I’m not showing you some presentations is that I’m really horrible at making presentations and would bore you to death. So, instead, we’re going to provide practical drawings that help you understand what I’m actually talking about. So usually, when you are doing anything related to communities, you want to have communities and the resources that come with them. So this is a file. Okay. This is a piece of paper or, in your case, a file on your computer. That’s called a test or something, like a dot, and yeah, that specifies several different things.
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Now you take this paper or file, whatever you want to call it in that case, and you give it to your cluster, which is now your cluster with a running master node and some worker nodes that are running as well. Now the masternode, like explained in previous videos, has an api server, and that api server is responsible for communicating with you through CubeCuddle. Okay, so you give this file to your cluster and then communicate. This is with various different components and processes responsible for matching the state of your cluster and what’s happening with your cluster to the desired state that is defined within this file. Okay, so that’s happening, and then you have something deployed on your cluster in running pods. Those are parts that are running within your class, okay? So once we have that, that’s all good. We might want to change something in this file, right? We might want to change that, or we might want to have multiple clusters. So this is another cluster, and this is another cluster, and on each of those clusters we want to run a version of our deployment, for example, the client. Now in each of those cases, let’s say we have our testing cluster here. This is our testing, and this is our staging. Oh, I like to call it This is a jedi yangling, and this is a jedi master, and here in production, we have some stages in between anyway. So the main point is that you want to have it for each of those different environments. You might want to have different um tags within your file.
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You might want to have different resources defined within your deployment. However, you don’t want to really recreate 500 different lines of yaml for all of those different environments, right? You don’t necessarily want to do that, especially if you’re using pure yaml, and in some cases, you want to use pure yama over some other solutions, such as Helm. So I don’t know those cases yet, but there are cases where you want to do this, so you want to customize the different aspects that are designed within a trial. So, let’s take a look at how customize does that. So, what you can do to get started with customize and just try it out for the first time is set up a simple deployment, a yaml file, and a simple, maybe service, email file. So you have two Cuban news resources that you can deploy on your cluster, and then you can customize Vivid. So here is my really simple deployment. Yaml file. You might not even want to specify a lot in those files, since that will make them more specific to the environment in which you set them up. So the more you specify in your deployment file, the more your cluster will know. What’s specific to that deployment and the less it will allow you to customize it right, so you want to define the most possible in your customization file, probably the way I understand it, so same with your service yaml file. I just have the minimum as much as possible, and then you have a customization file. So wherever you have company resources that you want to set up, they should be referred to. They should be within your YAML files, so they should have access to them. They should know where they are, basically, and we will look at two different ways of telling customization in the customization email where your plans are. The first one is here, so you basically just specify the resources that customization should know about.
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So in this case, I want to know about my deployment yaml file number and my service yaml file, and then here’s where the magic comes in. I hope the indentation is right because that is where I tell it that, as a common label, the owner is me. So in all of those resources, I tell customers, “Hey, the owner of those files is called Anais.” Please provide that label. So, let’s deploy it on a cluster or see how that finished resource with customers actually looks. It was not the right intention—indentation anyway, so this was not supposed to be right. It was supposed to be like that, so it didn’t work at the beginning. As you can see, I made an error, so I corrected it, um, just by trial and error. You know you will get it at some point, and so now I can see it here. Basically, if I say customize built,” then the director, which is the current directory, is where it should do it. Where I have my customization file, it would build my Kubernetes resources, in this case the service, and, as you can see here, I have a label edit, which is owners, and that label I do not have here within my service yaml file. So this was just added by customizing the same thing for my deployment yaml file. So, as you can see here, this is my deployment, and I have everything that I have within my deployment yml file. However, in addition, I have here this label now called owner. Anais, so that’s applied to all of my resources, so, as you can see, I have all the resources that I have here.
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It will, where it defines labels, actually define that I’m the owner of them. So that’s probably not where I actually want to have it, but that’s a good start now. Let’s zoom in again, so you can see everything that I’m doing here, so I’m currently on which cluster I am. Okay, I’m on my kind of cluster that should work, and now I want to go ahead and say: cubecal create and then minus k, and I want to create the resources both customized. So instead of using the uh minus, I say: minus no minus f of five. Um, I can use minus k, and then it will create my resources; as you can see here, it created both my servers react application and my deployment’s react application. So I could now go ahead and say, “Cubical, get parts, and I would see here those parts from the video yesterday, which you should probably clean up. I didn’t know they were running here, so it’s good to know. Check your resources before you use them anyway, and I have both of my just-created resources here right now. Okay, so, as you can see, I restructured everything a bit. I now have all the resources that I just defined within my base folder, so those are pretty much the same resources that I used before, and then I have an overlay folder, and within the overlay folder I have a jd master for one environment in Energetic Yang Lin for the environment folder, and within both of those I have a specific customization yaml file. Each of those is specific to the respective environment. So, for example, if I were within the jedi master to run customize and then build and put it into my deployment of yaml, let’s name that, in this case, jedi master, toriyama, and then cat and jedi master yaman. I can show you that within that file that we just created with the specific customization that I have within this custom mouse file, so I have here, as you can see, namespace master. It should be the plato namespace master within my cluster in an environment. Namespace in the master, so here I have label namespace master and here Jedi def react application. So I could go ahead and deploy this resource to my cluster.
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Now I could say cucurl, and well, let’s use the previous file, so cubecal, and then minus f or apply minus f, and it will create both my application and my service. It will create both my service and my deployment to my cluster. That is basically specified here. So it will access the deployment and the service yaml file within my actual base folder and deploy them on my cluster. So I can now see, um, let’s see, cube cuddle get all in name space master, and, as you can see here, I have my deployment. Jedidev reacts to the application, and then I have my service as well. I think that’s my service. Those are my different parts anyway, so, as you can see, I have all of that. Oh, you can’t really see. Oh, let me close this now, so you can see it better when I do it a second time. So now we want to deploy it also to our other environment, which is the Jedi Jangling. So I can go ahead and say customize and put that into my chat, a yang lang, yamu, and then I just deploy that file that I just created. So if I say again cat and then jedi jangling again, I have here my file that basically defines the resources that have just been created, but instead of with the namespace master, I have no namespace jungling, and it’s the same kind of name of the application. However, in this case, I want to deploy to the jungle environment instead of the master environment. So I can now take this file that has all of my custom variables that I defined and customized and actually go ahead and apply them, so keep cuddling and then apply and file. It was called Jediyang.
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amo and this will create another. In this case, youngling, my resources are actually in cuca, get um, get all, but in namespace. So, as you can see here, I have again deployed the same resources to my cluster. However, in this case, I am in the Jungling namespace. So, as you can see, you can use customize to deploy different resources depending on your environment. You can specify which namespace, which environment variables, and which resources it should actually use for deployment within that environment, and that’s what makes customization so handy now. This is it for today. I hope it was useful; if it was, please give it a thumbs up and subscribe to my channel for upcoming videos. Also, you might want to check out the notion, notes, and link below if you watched this, for it must be that you want to learn about Kubernetes or get started in devops. So you might want to subscribe to my weekly newsletter, delivered to your inbox, with amazing resources from across the devops space from amazing people such as yourself. Check it out below anyway. I really hope to see you next time. Have a lovely day. Bye,
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