In this fundamental-level quest, you will learn the ins and outs of Google Cloud's operations suite running on Google Kubernetes Engine, an important service for generating insights into the health of your applications. It provides a wealth of information in application monitoring, report logging, and diagnoses. The labs in this quest will give you hands-on practice with and will teach you how to monitor virtual machines, generate logs and alerts, and create custom metrics for application data. It is recommended that the students have at least earned a Badge by completing the Google Cloud Essentials Quest. Additional lab experience with the labs in the Baseline - Infrastructure Quest will also be useful. Looking for a hands-on challenge lab to demonstrate your skills and validate your knowledge? On completing this quest, enroll in and finish the additional challenge lab at the end of this quest to receive an exclusive Google Cloud digital badge.
Cloud Logging on Kubernetes Engine
In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging.
Cloud Operations for GKE
In this lab you will set up Monitoring and visualizing metrics from a Kubernetes Engine cluster
Using Cloud Trace on Kubernetes Engine
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 Cloud Trace Console.
Troubleshooting Workloads on GKE for Site Reliability Engineers
The Cloud Operations Sandbox is intended to make it easy for you to deploy and run a non-trivial application that lets you explore the Google Cloud Platform services, particularly the Cloud Operations (formerly Stackdriver) product suite.
Debugging Apps on Google Kubernetes Engine
This lab teaches you how logging works on GKE and some best practices for log collection by going through some common logging use cases.