![]() Open the Google Cloud Shell by clicking on the icon on the top right of the screen:Īfter Cloud Shell launches, you can use the command line to invoke the Cloud SDK gcloud command or other tools available on the virtual machine instance. This Debian-based virtual machine is loaded with all the development tools you'll need ( gcloud, git and others) and offers a persistent 5GB home directory. You will do all of the work from the Google Cloud Shell, a command line environment running in the Cloud. Use the login credential given to you by the lab proctor. Navigate to the the Google Cloud Console from another browser tab/window, to. But in Cloud Shell, you will need to set this for every new session or reconnection. Note: When you run gcloud on your own machine, the config settings would've been persisted across sessions. Learn more about zones in Regions & Zones documentation. You can pick and choose different zones too. ![]() $ gcloud config set compute/region us-central1 Finally, set the default zone and project configuration: $ gcloud config set compute/zone us-central1-f Looking for you PROJECT_ID? Check out what ID you used in the setup steps or look it up in the console dashboard : If for some reason the project is not set, simply issue the following command : $ gcloud config set project It comes pre-installed on CloudShell and you will surely enjoy its support for tab-completion. Note: gcloud is the powerful and unified command-line tool for Google Cloud Platform. ![]() Once connected to the cloud shell, you should see that you are already authenticated and that the project is already set to your PROJECT_ID : $ gcloud auth list To activate Google Cloud Shell, from the developer console simply click the button on the top right-hand side (it should only take a few moments to provision and connect to the environment): This means that all you will need for this codelab is a browser (yes, it works on a Chromebook). This Debian-based virtual machine is loaded with all the development tools you'll need ( docker, gcloud, kubectl and more), it offers a persistent 5GB home directory, and runs on the Google Cloud, greatly enhancing network performance and authentication. While Google Cloud and Kubernetes can be operated remotely from your laptop, in this codelab we will be using Google Cloud Shell, a command line environment running in the Cloud. It will be referred to later in this codelab as PROJECT_ID. Note the project ID you were assigned ( " codelab-test003" in the screenshot above). ![]() Here's what you should see once logged in : Google app engine sdk tutorial password#Once you have received a temporary username / password to login from the instructor, log into Google Cloud Console. Note that all these accounts will be disabled soon after the codelab is over. The instructor will be sharing with you temporary accounts with existing projects that are already setup so you do not need to worry about enabling billing or any cost associated with running this codelab. How will you use use this tutorial? Read it through only Read it and complete the exercises How would you rate your experience with building HTML/CSS web apps? Novice Intermediate Proficient How would you rate your experience with using Google Cloud Platform services? Novice Intermediate Proficient Codelab-at-a-conference setup Familiarity with standard Linux text editors such as Vim, EMACs or Nano. ![]() Google app engine sdk tutorial how to#
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