monitoring

Verify Kubernetes cluster health and uptime after deployment by running HTTP health checks, sampling resource metrics, and inspecting recent logs to classify service status as HEALTHY, DEGRADED, or DOWN. You receive actionable remediation recommendations based on the detected errors and capacity issues.

Monitor Docker container resource usage by collecting CPU, memory, and disk metrics for nodes and hosts. You detect errors by inspecting recent container logs to surface issues, correlating them with degraded services, and generating a concise status report with remediation steps.

Validate health endpoints and summarize service availability by running platform-appropriate HTTP checks across containers and system services. The process provides endpoint validation, samples recent resource metrics, and outputs an overall status classification.

Monitoring operates with no external dependencies, using standard platform APIs to gather metrics and logs. It samples resource data, inspects recent logs for errors, and produces a status report, functioning independently of dedicated alerting or metrics tools.

Inspect recent logs to find the cause of a degraded service by sampling log outputs from containers, Kubernetes clusters, and system services. The process surfaces recent errors, correlates them with capacity issues, and provides actionable remediation recommendations.

Review resource usage metrics for containers and nodes during post-deployment checks or incident response to spot capacity issues. Sampling CPU, memory, and disk metrics helps identify resource strain and classify the overall system status as HEALTHY, DEGRADED, or DOWN.