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📦 Deployment Strategies – Quick Guide
🚀 1. Recreate Deployment
Shuts down the current version and deploys the new one.
Pros:
- Simple to implement
Cons:
- Downtime during deployment
🟢 2. Rolling Deployment
Replaces old instances with new ones gradually.
Pros:
- Minimal downtime
- Easy to rollback partially
Cons:
- Monitoring complexity
🔁 3. Blue-Green Deployment
Two environments: Blue (current) and Green (new). Switch traffic to Green once validated.
Pros:
- Instant rollback
- No downtime
Cons:
- Doubles infrastructure temporarily
🌈 4. Canary Deployment
Releases the update to a small % of users first, then gradually expands.
Pros:
- Safer for user feedback
- Risk is minimized
Cons:
- Needs traffic routing and monitoring setup
🧪 5. A/B Testing
Deploys different versions to different user segments to test impact (e.g., UI or pricing models).
Pros:
- Ideal for experimentation and product optimization
Cons:
- Complex analysis and user segmentation required
🧯 6. Shadow Deployment
New version runs alongside production, but doesn’t serve users — just receives traffic.
Pros:
- Detects issues early
- Non-invasive validation
Cons:
- Doesn’t test user interaction
💣 7. Feature Flag Deployment
Deploy all code, but use feature flags to toggle features on/off per user or group.
Pros:
- High flexibility
- Enables rollback without redeploying
Cons:
- Can lead to technical debt if flags are not managed
🧠 Final Tips
- Always monitor performance and errors post-deploy.
- Use observability tools like Prometheus, Grafana, or Datadog.
- Automate rollbacks on error thresholds.