Setting Up CI/CD with AWS CodePipeline and GitHub
Continuous Integration and Continuous Deployment (CI/CD) has become a core part of modern DevOps practices. AWS offers a powerful, fully managed CI/CD service called AWS CodePipeline that automates the entire software release process, from source code retrieval to testing and deployment. When integrated with GitHub, the workflow becomes seamless and efficient, allowing teams to deliver updates faster with fewer manual tasks.
This guide walks you through how to set up a complete CI/CD pipeline using AWS CodePipeline + GitHub, suitable for beginners and intermediate DevOps practitioners.
What is AWS CodePipeline?
AWS CodePipeline is a fully managed CI/CD service that automates software release processes. Each time you push code to GitHub, CodePipeline can automatically:
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Pull the latest code
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Build and test the application
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Deploy it to AWS services such as EC2, S3, Lambda, or ECS
It supports integrations with CodeBuild, CodeDeploy, and third-party tools like Jenkins, GitHub Actions, SonarQube, and Slack.
Benefits of Using CodePipeline with GitHub
| Benefit | Description |
|---|---|
| Automated Deployments | Automatically deploy on every commit or pull request |
| Faster Release Cycles | Reduces manual work and increases deployment frequency |
| Secure & Scalable | Built on AWS-native security, IAM, encryption, version control |
| Flexible Integrations | Works with GitHub, CodeBuild, CodeDeploy, Lambda, ECS, S3 |
| Visibility & Monitoring | Full insight into pipeline stages and execution status |
Architecture Overview
A common CI/CD setup using CodePipeline and GitHub looks like this:
Prerequisites
Before you set up the pipeline, ensure you have:
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An AWS Account
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IAM permissions for CodePipeline, CodeBuild, and CodeDeploy
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A GitHub repository with your application code
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AWS CLI configured (optional but recommended)
Step-by-Step Guide to Setting Up CodePipeline with GitHub
Step 1: Create or Connect Your GitHub Repository
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Log in to GitHub
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Create a new repository or use an existing one
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Push your application code to the main or develop branch
Your folder structure could look like this:
A buildspec.yml file is required for CodeBuild instructions.
Step 2: Create an S3 Bucket for Artifact Storage
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Go to S3 > Create bucket
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Give it a unique name
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Enable versioning
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Click Create
This bucket stores build artifacts generated during the pipeline execution.
Step 3: Create a CodeBuild Project
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Go to CodeBuild → Create build project
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Choose GitHub as the source provider
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Connect GitHub with OAuth or personal access token
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Choose environment:
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Managed image: Ubuntu
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Runtime: Node.js, PHP, Python, or any supported runtime
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Add
buildspec.ymlinside your GitHub repo with build instructions.
Example buildspec.yml for Node.js app:
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Create the CodeBuild project
Step 4: Create a Deployment Environment
Depending on your application type, choose a deployment target:
| Deployment Type | AWS Service |
|---|---|
| Static Website | S3 + CloudFront |
| Server App | EC2 with CodeDeploy |
| Serverless App | Lambda |
| Container App | ECS or EKS |
For example, if deploying to EC2:
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Install CodeDeploy agent on EC2
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Create IAM roles for CodeDeploy
Step 5: Create Your CodePipeline
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Go to CodePipeline
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Click Create Pipeline
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Enter name and choose the S3 artifact bucket
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Add Source stage:
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Source Provider: GitHub
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Connect to repo and branch
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Add Build stage:
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Select previously created CodeBuild project
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Add Deploy stage:
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Select deployment service (EC2/CodeDeploy/Lambda/ECS)
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Review and create
Your CI/CD pipeline is now ready. AWS will start an automated pipeline every time you push changes to GitHub.
Testing the CI/CD Pipeline
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Open your GitHub repository
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Edit any file (e.g., README.md or application code)
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Commit and push changes
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Go to AWS CodePipeline
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Observe pipeline execution across Source → Build → Deploy
If all stages succeed, your updated application is deployed automatically.
Best Practices for CI/CD with CodePipeline
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Use separate pipelines for Dev, Staging, and Production
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Enable manual approval for production deploys
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Add notifications with SNS or Slack
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Store secrets securely using AWS Secrets Manager or Parameter Store
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Add automated tests in CodeBuild for every build
Common Challenges and How to Avoid Them
| Issue | Fix |
|---|---|
| Build failures due to missing dependencies | Add proper install commands to buildspec.yml |
| Permission denied errors | Assign correct IAM roles and permissions |
| Incorrect deployment configs | Validate AppSpec.yml for CodeDeploy |
| Pipeline not triggering | Ensure GitHub webhook is enabled |
Conclusion
Setting up a CI/CD pipeline using AWS CodePipeline and GitHub is one of the most efficient ways to automate application delivery. It eliminates manual deployment steps, accelerates releases, and ensures consistent build and deployment cycles. Whether you're managing small projects or large-scale enterprise applications, CodePipeline provides a scalable, secure, and fully automated DevOps workflow.