Consistent_Code_Deployment_Presentation.pdf

To ensure that a code change is deployed to all your servers without any server still serving old code, you can follow several best practices and strategies commonly used in continuous deployment and delivery.

1. Ensuring Consistent Code
Deployment Across Servers
Best Practices and Strategies

2. Rolling Updates
•Deploy the new version to a few servers at a
time, gradually updating all servers in the
cluster.
–Ensures high availability and allows monitoring of
the deployment.

3. Blue-Green Deployment
•Maintain two identical environments: Blue
(current) and Green (new).
–Switch traffic from Blue to Green after
deployment.
–Quickly revert to Blue if issues occur.

4. Canary Releases
•Deploy the new version to a small subset of
servers initially.
–Monitor performance and error rates before full
rollout.

5. Load Balancer Configuration
•Use a load balancer to manage traffic.
–Temporarily take servers out of rotation during
update.
–Bring servers back once the update is complete.

6. Service Discovery
•Implement a service discovery mechanism.
–Services register themselves and their versions.
–Other services or load balancers query this
registry.

7. Automation and Orchestration
Tools
•Use tools like Kubernetes, Docker Swarm, or
AWS ECS.
–Handle deployment process and ensure consistent
updates.

8. Versioning and Health Checks
•Implement versioning to ensure backward
compatibility.
–Include health checks to ensure only healthy
instances serve traffic.

9. Atomic Deployments
•Ensure deployments are atomic: fully
completed or not at all.
–Avoid partial updates to prevent inconsistencies.

10. Monitoring and Logging
•Set up comprehensive monitoring and logging.
–Detect issues immediately after deployment.
–Quickly identify and resolve problems.