Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
Install
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill canary-deploymentSKILL.md
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:
# 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
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