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Troubleshooting GKE Deployments with kubectl and Kubernetes Manifests
This hands-on lab explores how misconfigurations in Kubernetes deployments, such as incorrect liveness probes and missing runtime configuration, can lead to application instability and repeated container restarts. Learners investigate these failures by analyzing pod states, events, and logs to identify root causes within a production-like environment. By applying best practices, including externalized configuration through ConfigMaps and proper health monitoring, the deployment is stabilized and validated through a successful rollout and service exposure.
Lab Info
Table of Contents
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Challenge
Investigate Crashloopbackoff By Inspecting Pod Status And Viewing Container Logs
- Analyze pod lifecycle states and failure patterns to identify misconfigurations affecting container startup and stability
- Correlate events and container logs to diagnose root causes of repeated restarts within Kubernetes workloads
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Challenge
Create A Configmap And Inject Required Environment Variables Into A Deployment
- Externalize application configuration using ConfigMaps to separate runtime settings from container images
- Integrate configuration data into workloads through environment variable injection to ensure flexible and reusable deployments
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Challenge
Add A Liveness Probe To Improve Resilience And Validate Stable Rollout
- Implement container health monitoring to enable Kubernetes to automatically detect and recover from application failures
- Validate deployment stability by ensuring probe configuration aligns with application endpoints and runtime behavior
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