CodeDeploy for EC2/Lambda
Automate code deployments to EC2 instances and Lambda functions, ensuring minimal downtime and rollback capabilities.
CodeDeploy for EC2/Lambda is a free AWS for Backend Developers (EC2, S3, RDS, Lambda) lesson on CoddyKit — lesson 2 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the AWS for Backend Developers (EC2, S3, RDS, Lambda) learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Automating Deployments with CodeDeploy
Deploying applications can be tricky. Manual steps are error-prone and can cause downtime. AWS CodeDeploy automates this process for you!
- It helps deploy applications to EC2 instances, AWS Lambda, and on-premises servers.
- It minimizes downtime during deployments.
- It provides options for easy rollbacks if something goes wrong.
CodeDeploy's Key Parts
CodeDeploy organizes your deployments using a few core components:
- Application: A unique name to identify the application you want to deploy.
- Deployment Group: A set of individual instances or a specific Lambda function to deploy to.
- Revision: The source code, web pages, executables, and scripts you want to deploy, packaged into a file (e.g., zip, tar).
Deployment Strategies: In-place vs. Blue/Green
CodeDeploy supports different strategies to update your application:
- In-place Deployment: Stops the application on each instance, deploys the new version, and restarts it. This might cause brief downtime.
- Blue/Green Deployment: A new set of instances (Green) is provisioned with the new version. Traffic is then shifted from the old instances (Blue) to the Green ones. This minimizes downtime and risk.
Deploying to EC2 Instances
For EC2 deployments, CodeDeploy needs an agent installed on your instances. This agent handles the deployment tasks.
You define how the deployment happens using an appspec.yml file. This file tells CodeDeploy what files to copy, where to put them, and what scripts to run.
EC2 appspec.yml Structure
Here's a simple example of an appspec.yml for an EC2 deployment. It tells CodeDeploy to copy files and run a script.
version: 0.0
os: linux
files:
- source: /
destination: /var/www/html
hooks:
AfterInstall:
- location: scripts/start_server.sh
timeout: 300
runas: rootEC2 Deployment Lifecycle Hooks
Hooks are scripts that CodeDeploy runs at specific points during a deployment to an EC2 instance. They allow you to customize the deployment process:
- BeforeInstall: Tasks before files are copied.
- AfterInstall: Tasks after files are copied, like dependency installation.
- ApplicationStart: Start your application service.
- ValidateService: Check if the deployed application is working correctly.
Deploying Lambda Functions
CodeDeploy also simplifies deployments for AWS Lambda functions. It allows you to safely shift traffic between different versions of your function.
This is especially useful for canary deployments or gradual rollouts, ensuring your new function works as expected before taking all traffic.
Lambda appspec.yml Structure
For Lambda, the appspec.yml focuses on defining the function and how traffic should be shifted. Here's a basic example:
version: 0.0
resources:
- TargetService:
Type: AWS::Lambda::Function
Properties:
Name: "my-lambda-function"
Alias: "live"
CurrentVersion: "my-lambda-function-old-version"
TargetVersion: "my-lambda-function-new-version"
hooks:
- BeforeAllowTraffic: "LambdaValidationFunction"Handling Failures and Rollbacks
CodeDeploy automatically monitors deployments. If a deployment fails (e.g., a hook script exits with an error), it can automatically roll back to the previous stable version.
- You can also manually initiate a rollback.
- It integrates with CloudWatch to monitor deployment health and trigger alarms.
CodeDeploy Concepts Check
Which CodeDeploy deployment strategy involves provisioning a completely new set of instances for the new application version, then shifting traffic?
CodeDeploy Recap
Great job! You've learned about AWS CodeDeploy, a powerful service for automating application deployments.
- It manages deployments to EC2, Lambda, and on-premises servers.
- You can choose between in-place or blue/green strategies.
- The
appspec.ymlfile defines deployment steps and hooks. - It supports automatic rollbacks and integrates with monitoring.
CodeDeploy helps ensure your applications are updated reliably and with minimal disruption.
Frequently asked questions
Is the “CodeDeploy for EC2/Lambda” lesson free?
Yes — the full text of “CodeDeploy for EC2/Lambda” is free to read here on the web, and the AWS for Backend Developers (EC2, S3, RDS, Lambda) course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the AWS for Backend Developers (EC2, S3, RDS, Lambda) course, upgrade to CoddyKit PRO.
What will I learn in “CodeDeploy for EC2/Lambda”?
Automate code deployments to EC2 instances and Lambda functions, ensuring minimal downtime and rollback capabilities. You practise AWS for Backend Developers (EC2, S3, RDS, Lambda) with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start AWS for Backend Developers (EC2, S3, RDS, Lambda)?
No prior experience is required. AWS for Backend Developers (EC2, S3, RDS, Lambda) on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “CodeDeploy for EC2/Lambda” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this AWS for Backend Developers (EC2, S3, RDS, Lambda) lesson?
Yes. Every AWS for Backend Developers (EC2, S3, RDS, Lambda) lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.