Keep your services on Google Kubernetes Engine (GKE) running smoothly by learning how to effectively troubleshoot your issues. Whether you're new to Kubernetes or an experienced user, you'll learn a structured approach to monitoring, diagnosing, and resolving common problems.
Build your GKE troubleshooting skills with these tools and techniques:
Review Google Cloud service health and incidents for ongoing reliability incidents that might affect your clusters.
Quickly identify potential issues by assessing cluster and workload health in the Google Cloud console.
View the live status of resources like nodes and Pods by investigating the cluster's state with the
kubectlcommand-line tool.Find the root cause of failures by conducting historical analysis with Cloud Logging.
Address issues before they affect users by performing proactive monitoring with Cloud Monitoring.
Accelerate diagnosis with Gemini Cloud Assist by analyzing errors, receiving step-by-step guidance, and automatically investigating issues.
Learn how these tools work together by following an example troubleshooting scenario to diagnose and resolve a real-world application failure.
Understand core concepts
If you're new to Kubernetes and GKE, understanding core concepts, like cluster architecture and the relationship between Pods and nodes, is essential before you start to troubleshoot. If you want to learn more, see Start learning about GKE.
It's also helpful to understand which parts of GKE you're responsible for maintaining and which parts Google Cloud is responsible for maintaining. For more information, see GKE shared responsibility.
What's next
Read Review Google Cloud service health and incidents (the next page in this series).
For advice about resolving specific problems, review GKE's troubleshooting guides.
If you can't find a solution to your problem in the documentation, see Get support for further help, including advice on the following topics:
- Opening a support case by contacting Cloud Customer Care.
- Getting support from the community by
asking questions on StackOverflow
and using the
google-kubernetes-enginetag to search for similar issues. You can also join the#kubernetes-engineSlack channel for more community support. - Opening bugs or feature requests by using the public issue tracker.