alert-handling

Triage monitoring alerts by collecting service status, logs, recent deployments, and metrics to assess severity and diagnose probable root causes for production outages and error rate spikes.

Determining whether to rollback a deployment during incident response involves correlating the alert with recent deploys, checking service health, and recommending a rollback if the deployment directly correlates with the failure.

Classify the severity of error rate spikes by mapping monitoring alerts to CRITICAL, HIGH, MEDIUM, or LOW levels, which provides clear guidance on whether to escalate the incident to human responders.

You can use kubectl to run quick diagnostics during a latency regression by checking service health, recent logs, and metrics to identify the likely causes of the performance degradation.

Automated alert-triage applies to both staging and production environments experiencing outages or error spikes, but non-destructive diagnostics should be preferred over automated rollback actions in staging.