🟦 Blue-Green Deployment
✅ Concept
Blue-Green deployment means you maintain two identical production environments:
- Blue = Current Production
- Green = New Version
Only one is active at a time.
✔ How it works
-
Deploy new application version to the Green environment.
-
Test it thoroughly (Smoke tests, automation, health checks).
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Switch the traffic from Blue → Green (load balancer flip).
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If something goes wrong:
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Switch traffic back to Blue (instant rollback).
-
🟢 Diagram (Simple Flow)
⭐ Advantages
| Benefit | Description |
|---|---|
| Zero downtime deployment | Users don't see any interruption. |
| Instant rollback | One flip back to Blue. |
| Full environment testing | Green can be validated before traffic shift. |
⚠️ Disadvantages
| Issue | Explanation |
|---|---|
| Costly | Two full environments required. |
| Data sync complexity | DB schema changes require careful planning. |
📌 When to Use Blue-Green
- Releases require zero downtime.
- System is stable, and deployments are less frequent.
- Company can afford 2 parallel production environments.
🟧 Canary Deployment
✅ Concept
Canary deployment gradually releases the new version to a small subset of users first.
Like in coal mines, a "canary" tests the environment for problems.
✔ How it works
- Deploy new version v2 to a small percentage (e.g., 1% of users).
- Monitor behaviors (errors, CPU, logging, metrics).
- Gradually increase traffic:
- 1% → 5% → 25% → 50% → 100%
- If issues appear:
- Stop rollout
- Rollback to previous version
🟡 Diagram (Traffic Split)
⭐ Advantages
| Benefit | Description |
|---|---|
| Very safe | Only a small portion sees new version first. |
| Real user testing | Validates with live traffic. |
| Fine-grained rollout control | You can stop at any time. |
⚠️ Disadvantages
| Issue | Description |
|---|---|
| More complex | Requires intelligent traffic routing & monitoring. |
| Harder to implement | Needs advanced infra (Istio, Envoy, Feature Flags). |
| Multiple versions live at once | Must manage compatibility. |
📌 When to Use Canary Deployment
- High-traffic applications.
- Releases must be very cautious (e.g., banking/fintech).
- Microservices environment.
- Strong observability is in place (Prometheus, Grafana, ELK, AWS CloudWatch).
🆚 Blue-Green vs Canary — Quick Comparison
| Feature | Blue-Green | Canary |
|---|---|---|
| Rollback | Instant | Gradual |
| Complexity | Low | High |
| Cost | High (2 environments) | Moderate |
| Risk Level | Medium | Very Low |
| Traffic Control | All users at once | Small → full rollout |
| Use Case | Enterprise apps, stable releases | Microservices, critical apps |
🟩 Real-World Examples (Cloud & Kubernetes)
☁️ AWS Example
Blue-Green:
Using AWS Elastic Beanstalk, ALB switch, or CodeDeploy (blue/green).
Canary:
Using API Gateway Canary Release or App Mesh.
☸️ Kubernetes Example
Blue-Green:
Deploy new version as deployment-green, switch service selector.
Canary:
Using:
- Istio VirtualService
- Linkerd
- Argo Rollouts
- Flagger
Traffic can be:
- 5% to canary
- 95% to stable
🧠Interview-Ready Summary
🟦 Blue-Green Deployment
➡ Two production environments.
➡ Switch traffic when new version is ready.
➡ Zero downtime + instant rollback.
➡ Easy but expensive.
🟧 Canary Deployment
➡ Slowly roll new version to small % of users.
➡ Real user feedback before full rollout.
➡ Harder but safest for high-risk releases.
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