CI/CD on AWS: Building a Scalable Deployment Pipeline for Node.js Applications


In today’s agile development environment, fast, reliable, and secure software delivery is crucial. CI/CD (Continuous Integration and Continuous Deployment) is the backbone of modern DevOps practices. AWS offers a powerful toolchain to implement CI/CD pipelines with native integrations, automation, and scalability.
In this post, we’ll set up a simple CI/CD pipeline to automatically build, test, and deploy a Node.js application to EC2 using AWS CodePipeline, CodeBuild, and CodeDeploy.
1. Why Use CI/CD on AWS?
Manual deployment processes often lead to:
Delays in release cycles
Human errors
Inconsistent environments
CI/CD enables:
Continuous integration of code
Automated testing for early bug detection
Streamlined deployments to staging or production
AWS Native CI/CD Tools:
Service | Role in Pipeline |
CodeCommit | Source code repository |
CodeBuild | Build and test automation |
CodePipeline | Pipeline orchestration |
CodeDeploy | Application deployment |
🧩 Use Case Overview: Node.js Microservice Deployment
Let’s assume you have a Node.js application hosted on GitHub. The goal is to automatically deploy updates to an EC2 instance every time code is pushed to the main branch.
Step-by-Step Guide to Setup CI/CD on AWS
1. Connect GitHub Repository to AWS CodePipeline
Ensure your GitHub repository is ready:
bashCopyEditgit remote add origin https://github.com/your-username/your-repo.git
In AWS CodePipeline:
Select GitHub (V2) as your source provider
Connect to your repository and choose the
main
branch
2. Create buildspec.yml
for CodeBuild
Add a buildspec.yml
file in your project root:
yamlCopyEditversion: 0.2
phases:
install:
runtime-versions:
nodejs: 14
commands:
- npm install
build:
commands:
- npm test
artifacts:
files:
- '**/*'
This config installs dependencies and runs tests. All files will be passed to the next pipeline stage.
3. Create CodeBuild Project
In the AWS Console:
Go to CodeBuild → Create Project
Select source provider (GitHub or CodePipeline)
Configure the environment (use a managed image with Node.js)
Reference your
buildspec.yml
4. Configure CodePipeline Stages
Set up a three-stage pipeline:
Source – Connect to GitHub repo
Build – Link to your CodeBuild project
Deploy – Use CodeDeploy to push to EC2
5. Set Up CodeDeploy Agent on EC2
Run the following commands on your EC2 instance:
bashCopyEditsudo yum update
sudo yum install -y ruby wget
cd /home/ec2-user
wget https://aws-codedeploy-<region>.s3.<region>.amazonaws.com/latest/install
chmod +x ./install
sudo ./install auto
6. Create appspec.yml
for CodeDeploy
In your repo, define a deployment process using appspec.yml
:
yamlCopyEditversion: 0.0
os: linux
files:
- source: /
destination: /home/ec2-user/app
hooks:
AfterInstall:
- location: scripts/restart.sh
timeout: 180
Ensure your restart.sh
script starts the Node.js app correctly.
✅ CI/CD Best Practices on AWS
Use IAM roles with least privilege for security
Enable test coverage and reporting in CodeBuild
Add manual approval stages before production deployment
Separate pipelines for dev, staging, and prod environments
Enable logging and monitoring with CloudWatch
Final Thoughts
Setting up a CI/CD pipeline on AWS may seem daunting initially, but once in place, it brings tremendous speed and reliability to your software delivery lifecycle.
Start with a simple use case, automate smartly, and scale your DevOps practices as your infrastructure grows.
With the right CI/CD setup, your team will ship faster, with fewer bugs, and more confidence.
Want to take it further?
Add health checks and rollback strategies
Explore Blue/Green deployments with CodeDeploy
Integrate AWS Lambda for serverless post-deployment tasks
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Written by

Gayatri Didore | DevOps & Cloud Engineer
Gayatri Didore | DevOps & Cloud Engineer
Passionate DevOps & Cloud Engineer with a strong foundation in AWS, CI/CD, Docker, Kubernetes, and Infrastructure as Code. I specialize in automating deployments, securing cloud infrastructure, and improving release pipelines using tools like GitHub Actions, Jenkins, and Terraform. Currently exploring advanced container orchestration and observability. Let’s build faster, smarter, and scalable systems together!