Lambda Blue/Green Deployment
Deploy a Python Lambda function through a full blue/green lifecycle: create a PROD alias, configure CodeDeploy with Canary10Percent10Minutes and a CloudWatch alarm, then execute a canary deployment and force a rollback.
Lab Overview
In this lab you will go end-to-end with Lambda blue/green deployments using AWS CodeDeploy. You will create a Lambda function, publish versions, set up a PROD alias with traffic shifting, wire up a CloudWatch alarm on Lambda errors, and execute canary deployments. You will then simulate a failed deployment and watch CodeDeploy automatically roll back to the previous version.
You will:
- Create a Python Lambda function, publish versions, and configure a PROD alias
- Set up a CodeDeploy application and IAM service role for Lambda deployments
- Build a deployment group with Canary10Percent10Minutes and a CloudWatch alarm
- Execute a canary deployment and monitor traffic shifting in real time
- Force a CloudWatch alarm into ALARM state and watch CodeDeploy auto-rollback
- Document the blue/green pattern in an operational runbook
What You'll Learn
Create a Lambda function, publish versions, and configure an alias with weighted traffic routing
Set up a CodeDeploy application and IAM service role for Lambda blue/green deployments
Configure a deployment group with Canary10Percent10Minutes and a CloudWatch alarm wired for auto-rollback
Execute a canary deployment via CodeDeploy and monitor traffic shifting progress
Simulate a failed deployment, observe automatic rollback, and verify the alias returns to the previous version
Document the blue/green deployment pattern in an operational runbook
Prerequisites
aws-cli-basics
basic-lambda-knowledge
basic-iam-knowledge
Technologies Covered
Part of a Course
This lab is part of the AWS Certified DevOps Engineer - Professional (DOP-C02) course
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