Google Kubernetes Engine Best Practices
Advanced 6 Steps 5 hours 33 Credits
Get Anthos Ready. Demand for Google Kubernetes Engine is growing, and customers are looking to Google and its partners to provide in-depth technical knowledge. This first Google Kubernetes Engine-centric Quest of best practices hands-on labs will get you started containerizing to modernize in place , and then managing your deployed apps and services -- with monitoring, tracing, and logging.
Prerequisites:It is recommended that students have earned the Badge by completing the hands-on labs in the GCP Essentials Quest before attempting these labs.
This lab provides a basic walkthrough of migrating a stateless application from running on a VM to running on Kubernetes Engine (GKE). It demonstrates the lifecycle of an application transitioning from a typical VM/OS-based deployment to three different containerized cloud infrastructure platforms.
warning Monitoring with Stackdriver on Kubernetes Engine
In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster
This lab deployings a Kubernetes Engine cluster, then a simple web application fronted by a load balancer is deployed to the cluster. The web app publishes messages provided by the user to a Cloud Pub/Sub topic. You will see the correlated telemetry data from HTTP requests to the app will be available in the Stackdriver Trace Console.
In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Stackdriver Logging.
This lab shows how easy it is to connect an application in Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a Kubernetes Engine cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.