incident-response

Incident response for a FastAPI and PostgreSQL production outage involves activating a structured runbook to triage the issue, executing diagnostic commands, and following an incident commander protocol to reduce mean time to recovery. It provides severity classification and rollback procedures.

A blameless post-mortem is a structured document created after an error spike or outage to analyze root causes without attributing fault. This process uses provided templates to guide evidence gathering, document timelines, and generate actionable remediation items.

Yes, the incident runbooks are designed for Python applications and include specific diagnostic command references for Redis, alongside FastAPI and PostgreSQL. This allows you to triage latency issues and performance degradation across your entire application stack.

Classifying incident severity during a latency issue uses a SEV1 through SEV4 framework to categorize impact levels. This classification determines the required escalation paths, communication templates, and the specific diagnostic commands needed for the response.

No, this does not cover monitoring setup or deployment procedures. It focuses strictly on active incident response, triage, and post-mortem documentation, relying on separate monitoring-setup and deployment-pipeline processes for those specific functions.