infrastructure

To diagnose Kubernetes pod crashes, you retrieve pod events and logs to quickly identify the root cause. Running Python scripts against the Kubernetes API helps collect event data and logs to troubleshoot container failures in production.

Yes, AWS infrastructure monitoring covers EC2, ECS, and Lambda issues. CloudWatch alert triage is marked as a future capability for diagnosing cloud infrastructure problems alongside the existing Kubernetes troubleshooting features.

Troubleshooting live Kubernetes cluster issues requires Python-based scripts and access to the target cluster's API endpoints. This setup enables data collection for events, logs, and resource usage directly from the Kubernetes API.

To get Kubernetes pod logs, execute the designated Python script with the pod name and namespace arguments. You can specify a tail limit to retrieve recent log entries for diagnosing deployment stalls or container failures.

To identify resource bottlenecks during a deployment rollout, check resource usage metrics and deployment rollout status. This helps diagnose stability issues by correlating current resource consumption with pod events in the cluster.

Yes, Kubernetes troubleshooting covers deployment stalls and resource bottlenecks. By retrieving events, logs, and checking resource usage, you can diagnose stability issues and pinpoint the root cause of deployment failures.