The process begins by setting up a local Kubernetes cluster and initializing a Helm chart. After creating and testing initial deployments, the workflow addresses image authentication issues using Google Cloud service account keys. Finally, additional microservice deployments are generated and integrated into the Helm configuration.
Length 12:16
Captions English (Generated), Spanish (Auto-translated), French (Auto-translated), Korean (Auto-translated), Portuguese (Auto-translated), Vietnamese (Auto-translated) #kubernetes #helm #docker #gcloud #deployment #microservices #terminal #automation #cloud #configuration
0:00 Okay, so now that we've pushed our images up to 0:02 gcloud, we're gonna go 0:04 ahead and start by running our own local Kubernetes cluster and have our 0:08 images running locally. Now, I'm using Docker Desktop 0:12 as my Kubernetes provider here. So if you use Docker Desktop, 0:16 you should go and be able to go into the settings and see a Kubernetes 0:19 field here, where you can enable a Kubernetes cluster 0:23 on 0:23 Docker Desktop to make it very easy to get started with Kubernetes. 0:27 Back in the command line, you can see if I run kubectl get 0:31 namespaces, I have the default namespaces for a 0:34 Kubernetes 0:34 cluster. And if I run kubectl get pods, I have nothing 0:38 running in my default namespace right now. 0:41 So let's go ahead and change that by starting to create our first 0:44 deployment. 0:45 We're gonna be using Helm as our dependency manager for Kubernetes, 0:49 so that we can easily deploy our application anywhere, locally 0:53 or on gcloud very easily using Helm. 0:56 If you don't have Helm already installed, simply go to 0:59 helm.sh/docs/intro/install 1:03 here, where you can get instructions for how to 1:05 install Helm easily on any 1:07 system, including from a script or through package managers 1:11 like Homebrew or Chocolatey. It's very easy to s- install Helm, so go 1:15 ahead and make sure you have this running. 1:16 So to start, let's go ahead and create a new folder in our project 1:20 called 1:20 k8s, which is where all of our Kubernetes 1:23 deployments and manifests 1:25 will live. And now in our terminal, I'll CD into that k8- k8s 1:28 folder. 1:30 Then I'll run helm create sleeper here to create 1:34 a new Helm chart called Sleeper. And what this is 1:37 gonna do is it's gonna create some starter files f- for Sleeper here 1:42 and give us some starting templates, as well as an all-important
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