![]() ![]() Note: The gcloud command-line tool is the powerful and unified command-line tool in Google Cloud. Run the following command in Cloud Shell to confirm that you are authenticated:.Once connected to Cloud Shell, you should see that you are already authenticated and that the project is already set to your project ID. Much, if not all, of your work in this codelab can be done with simply a browser or your Chromebook. It offers a persistent 5GB home directory and runs in Google Cloud, greatly enhancing network performance and authentication. This virtual machine is loaded with all the development tools you need. It should only take a few moments to provision and connect to Cloud Shell. Here's what that one-time screen looks like: ![]() If that's the case, click Continue (and you won't ever see it again). If you've never started Cloud Shell before, you're presented with an intermediate screen (below the fold) describing what it is. From the Cloud Console, click Activate Cloud Shell.New users of Google Cloud are eligible for the $300 USD Free Trial program. Be sure to to follow any instructions in the "Cleaning up" section which advises you how to shut down resources so you don't incur billing beyond this tutorial. Running through this codelab shouldn't cost much, if anything at all. Next, you'll need to enable billing in Cloud Console in order to use Google Cloud resources.If you're using a Google Workspace account, then choose a location that makes sense for your organization. Note: If you're using a Gmail account, you can leave the default location set to No organization. It will be referred to later in this codelab as PROJECT_ID. Remember the project ID, a unique name across all Google Cloud projects (the name above has already been taken and will not work for you, sorry!). Note: You can easily access Cloud Console by memorizing its URL, which is. If you don't already have a Gmail or Google Workspace account, you must create one. Sign in to Cloud Console and create a new project or reuse an existing one.Access Dashboard, a web-based Kubernetes user interface.Scale up your service and roll out an upgrade.Deploy your Java app to Kubernetes on GKE.Package a simple Java app as a Docker container.Knowledge of standard Linux text editors, such as Vim, Emacs, and nano.Familiarity with Java programming language and tools.The codelab will use the sample code from the guide about Building an App with Spring Boot. You can use Minikube to go through the codelab if you wish. If you're interested in running Kubernetes on your local machine, such as a development laptop, then look into Minikube, which offers a simple setup of a single-node Kubernetes cluster for development and testing purposes. You'll use GKE, a fully managed Kubernetes service on Google Cloud, to allow you to focus more on experiencing Kubernetes, rather than setting up the underlying infrastructure. You'll take code that you develop on your machine, turn it into a Docker container image, and run the image on GKE. In this codelab, you'll deploy a simple Spring Boot Java web app to Kubernetes on GKE, with the goal being for you to run your web app as a replicated app on Kubernetes. Kubernetes is an open source project, which can run in many different environments, from laptops to high-availability multi-node clusters, from public clouds to on-premise deployments, and from virtual machine (VM) instances to bare metal.
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