AWS CodeDeploy and Lambda are powerful tools for deploying serverless applications with minimal downtime. Canary deployments provide a phased approach to routing traffic to new application versions, reducing risks associated with faulty updates. This Cloud Lab uses these technologies to ensure safe and reliable deployments.
In this Cloud Lab, you’ll create a Lambda function and its versions to simulate both stable and faulty code scenarios, assigning an alias to point to the stable version. You will then configure AWS CodeDeploy to deploy the Lambda function using a canary deployment strategy, where traffic is incrementally shifted from the stable version (via the alias) to the new version. Additionally, you will set up CloudWatch alarms to monitor errors during deployment and configure automatic rollback to the stable version in case of issues. Throughout the Cloud Lab, you will perform multiple tests to validate the alias functionality, observe the canary deployment process, monitor error detection, and ensure the rollback mechanisms work as expected.
After completing this Cloud Lab, you will gain hands-on experience with Lambda, CodeDeploy, and CloudWatch. You’ll learn to deploy applications safely using canary strategies, monitor for errors, and configure automated rollbacks. These skills are essential for ensuring application stability and will enhance your ability to manage serverless deployments effectively.
The following is the high-level architecture diagram of the infrastructure you will create in this Cloud Lab:
