Canary Deployment
Table of Contents
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:
yaml# canary-deployment-istio.yaml apiVersion: apps/v1 kind: Deployment metadata: name: myapp-v1 namespace: production spec: replicas: 3 selector: matchLabels: app: myapp version: v1 template: metadata: labels: app: myapp version: v1 spec: containers: - name: myapp image: myrepo/myapp:1.0.0 ports: - containerPort: 8080 --- // ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Istio-based Canary Deployment | Istio-based Canary Deployment |
| Kubernetes Native Canary Script | Kubernetes Native Canary Script |
| Metrics-Based Canary Analysis | Metrics-Based Canary Analysis |
| Automated Canary Promotion | 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
