Blue/Green Deployment Strategy
Read the full guide on docs.beyondyou.my.idBlue/green deployment is one of the most reliable strategies for releasing software with zero downtime and instant rollback. By running two identical production environments and switching traffic between them, you eliminate deployment risk and make rollback a single action — just flip the traffic back.
Key Takeaways
- Two identical environments: “blue” (current production) and “green” (new version)
- Traffic is routed to one environment at a time via load balancer, DNS, or service mesh
- After deploying to green and verifying, traffic switches from blue to green
- Instant rollback: switch traffic back to blue if issues are detected
- Requires double the infrastructure during deployment, but this is manageable with cloud auto-scaling
Quick Overview
In a Kubernetes-native blue/green deployment, you create a new Deployment (green) with the updated version. Once the green pods are healthy and pass smoke tests, you update the Service selector to point to green. All traffic instantly shifts. If issues are detected, you update the Service selector back to blue. There’s no complex state management — it’s just label switching.
On AWS, blue/green can be implemented at multiple layers: Route 53 weighted routing, ALB target group switching, or Lambda weighted aliases. Each approach offers different trade-offs in terms of switch speed, health check granularity, and DNS caching considerations.
Read the full guide: Blue/Green Deployment Strategy → — includes Kubernetes implementation, AWS-native patterns, and comparison with canary deployments.