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Labs

Using ConfigMaps on GKE

Part of good cloud-native application design is separating configuration from the deployable artifact — i.e., the container image. In this lab, you will deploy a web app that can be dynamically reconfigured based on the existence of both environment variables and a configuration file. The variables and the file can be added at runtime with the use of Kubernetes ConfigMaps.

Labs

Path Info

Level
Clock icon Intermediate
Duration
Clock icon 1h 0m
Published
Clock icon Apr 09, 2021

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Table of Contents

  1. Challenge

    Create and Connect to a GKE Cluster

    Create a new GKE cluster and then connect to it via the Cloud Shell.

  2. Challenge

    Build the Container and Create the Deployment

    Retrieve the working files from the GitHub repository. Then, create a YAML deployment file with the code supplied in the guide and a load balancer service to expose the deployment.

  3. Challenge

    Use a ConfigMap to Add Environment Variables

    Create a ConfigMap with two test name value pairs and update the YAML deployment file to create the environmental variables from the ConfigMap. Re-apply the deployment and review the results.

  4. Challenge

    Use a ConfigMap to Add a Configuration File

    Create a configuration file with a number of name/value pairs and then create a new ConfigMap for that file. Update the deployment YAML to create a volume from the ConfigMap and mount it into the pod. Re-apply the deployment and review the results.

  5. Challenge

    Enable APIs and Assign IAM Role

    Enable the required APIs for Google Kubernetes Engine and Cloud Build and then assign the Cloud Build Service Agent role to the Compute Engine default Service Account.

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