Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.

Canary Deployment Table of Contents [Overview]( overview) [When to Use]( when to use) [Quick Start]( quick start) [Reference Guides]( reference guides) [Best Practices]( best practices) Overview Deploy new versions gradually to a small percentage of users, monitor metrics for issues, and automatically rollback or proceed based on predefined thresholds. When to Use Low risk gradual rollouts Real world testing with live traffic Automatic rollback on errors User impact minimization A/B testing integration Metrics driven deployments High traffic services Quick Start Minimal working example: Reference Guides Detailed implementations in the references/ directory: Guide Contents [Istio based Canary Deployment](references/istio based canary deployment.md) Istio based Canary Deployment [Kubernetes Native Canary Script](references/kubernetes native canary script.md) Kubernetes Native Canary Script [Metrics Based Canary Analysis](references/metrics based canary analysis.md) Metrics Based Canary Analysis [Automated Canary Promotion](references/automated canary promotion.md) Automated Canary Promotion Best Practices ✅ DO Follow established patterns and conventions Write clean, maintainable code Add appropriate documentation Test thoroughly before deploying ❌ DON'T Skip testing or validation Ignore error handling Hard code configuration values

canary-deployment