Reliability and Release

Course overview

Focus on reliability and release for AI services: health checks and load testing, blue/green and canary release strategies, provider fallback and a production readiness review process.

Sets up health checks and load tests to validate behavior under stress and determine breaking points.

Describes release approaches: blue/green, canary and rollback techniques to reduce deployment risk.

Covers provider fallback strategies and graceful degradation to preserve service during external incidents.

Provides a production readiness checklist and review to validate technical and operational criteria before exposing service to traffic.