Challenges in Blue-green deployment
Infrastructure Overhead
Implementing Blue-Green Deployment requires maintaining two identical environments, the “blue” and “green” environments. This can lead to increased infrastructure overhead, including the cost of running and managing duplicate environments, as Lambda is a serverless, pay-per-use model, this might not be a much concern
Data Migration
In scenarios where the application relies on a database or other persistent data storage, migrating data from the blue to the green environment can be challenging. Ensuring data consistency and synchronization between the two environments requires careful planning and execution, we do not place such things in the Blue Green deployments model.
Rollback Complexity
While Blue-Green Deployment aims to simplify rollback by instantly switching traffic from the green to the blue environment, there can still be complexities involved. The rolling back may require reverting database changes, undoing configuration updates, or handling data synchronization issues, depending on the specific deployment scenario.
Blue/Green Deployment in AWS Lambda
Blue Green Deployment is just like we deploy two versions of our application, one is the stable version, and another is a new feature or bug fix let’s say, forwarding a certain percentage of traffic to the second version as well in production to ensure that everything is working fine.
The Blue environment represents the currently active version of the Lambda function. In contrast, the Green environment is a development version of code where new changes are deployed and tested. Once the changes in the Green environment are verified, green deployment will be promoted to Blue, enabling seamless and zero-downtime deployments. With Blue Green deployment we can test our application with real-time users, without replacing the production workload completely.