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Day -13 | AWS CodeDeploy

Published
3 min read

Getting Started with AWS CodeDeploy (Automated Application Deployments)

As part of my cloud and DevOps learning journey, I recently explored AWS CodeDeploy, a fully managed deployment service that automates application deployments to compute services such as EC2, Auto Scaling groups, and on‑premises servers.

In this blog, I’ll share my understanding of AWS CodeDeploy, its core concepts, deployment strategies, and how it fits into modern CI/CD pipelines.

🚀 What is AWS CodeDeploy?

AWS CodeDeploy is a deployment automation service that helps you deploy application code reliably and consistently. Instead of manually copying files or restarting services, CodeDeploy manages the entire deployment process using predefined rules and lifecycle events.

It reduces deployment errors, minimizes downtime, and ensures repeatable releases.

🌟 Why Use AWS CodeDeploy?

Key benefits of AWS CodeDeploy include:

  • Fully managed – No deployment servers to maintain

  • Automation – Eliminates manual deployment steps

  • High availability – Supports rolling and blue/green deployments

  • Integration – Works seamlessly with CodeCommit, CodeBuild, and CodePipeline

  • Consistency – Same deployment process every time

🧩 Core Components of CodeDeploy

🔹 Application

An application is a logical container for your deployed code.

🔹 Deployment Group

A deployment group defines:

  • Target EC2 instances or Auto Scaling groups

  • Deployment configuration (rolling, one‑at‑a‑time, etc.)

  • Load balancer settings (if any)

🔹 Deployment

A deployment is the process of pushing a specific application revision to the target instances.

📄 AppSpec File (appspect.yml)

The AppSpec file is the heart of CodeDeploy. It tells CodeDeploy:

  • Where to copy files

  • Which scripts to run

  • When to run them during deployment

Example AppSpec file:

version: 0.0
os: linux
files:
- source: /
destination: /var/www/html
hooks:
BeforeInstall:
- location: scripts/stop_server.sh
AfterInstall:
- location: scripts/start_server.sh

🔄 CodeDeploy Deployment Lifecycle

CodeDeploy follows a sequence of lifecycle events:

  1. BeforeInstall

  2. Install

  3. AfterInstall

  4. ApplicationStart

  5. ValidateService

These hooks allow you to run custom scripts at each stage.

🚦 Deployment Strategies

AWS CodeDeploy supports multiple deployment strategies:

🔹 In‑Place Deployment

  • Updates the application on existing instances

  • Instances are taken out of service during deployment

🔹 Blue/Green Deployment

  • Creates a new set of instances with the new version

  • Traffic is shifted gradually or instantly

  • Safer and preferred for production

🔐 Security and IAM in CodeDeploy

Security is managed using IAM roles:

  • CodeDeploy service role

  • EC2 instance role

  • Least‑privilege permissions are recommended

All deployment data is encrypted in transit and at rest.

💡 Real‑World Use Cases

  • Automated web application deployments

  • Zero‑downtime deployments using blue/green strategy

  • Deployments across multiple EC2 instances

  • CI/CD pipelines with CodePipeline

📊 CodeDeploy vs Manual Deployment

FeatureCodeDeployManual
AutomationYesNo
ConsistencyHighLow
Rollback SupportYesLimited
DowntimeMinimalHigh

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Bipul Kumar

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