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Cloud Logging on Kubernetes Engine

Cloud Logging on Kubernetes Engine

1 hour 5 Credits

GSP483

Google Cloud Self-Paced Labs

Overview

Cloud Logging can be used aggregate logs from all Google Cloud resources, as well as any custom resources on other platforms, to allow for one centralized store for all logs and metrics. Logs are aggregated and then viewable within the provided Cloud Logging UI. They can also be exported to Sinks to support more specialized of use cases. Currently, Cloud Logging supports exporting to the following sinks:

  • Cloud Storage
  • Pub/Sub
  • BigQuery

In this lab you will deploy a sample application to Kubernetes Engine that forwards log events to Cloud Logging using Terraform, a declarative Infrastructure as Code tool that enables configuration files to automate the deployment and evolution of infrastructure in the cloud. The configuration will also create a Cloud Storage bucket and a BigQuery dataset for exporting log data to.

This lab was created by GKE Helmsman engineers to give you a better understanding of Cloud Logging. You can view this demo on Github here. We encourage any and all to contribute to our assets!

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Score

—/100

Use Terraform to set up the necessary infrastructure

Run Step

/ 50

View Logs in BigQuery

Run Step

/ 50