AWS Builder Center

Builder Center

Building a CI/CD Pipeline on AWS: Automating Application Deployment

Learn how CI/CD can automate the process of building, testing, and deploying applications, and understand how AWS developer tools can be combined to create a simple automated deployment workflow.

Building a CI/CD Pipeline on AWS: Automating Application Deployment

In a traditional development workflow, deploying an application can involve several manual steps:
Write Code → Build → Test → Deploy
As applications grow, repeating these steps manually becomes time-consuming and error-prone.
This is where CI/CD becomes useful.
CI/CD allows teams to automate parts of the software delivery process so that changes can move from source code to a deployed application more reliably.

What Is CI/CD?

CI/CD generally refers to Continuous Integration and Continuous Delivery/Deployment.

Continuous Integration

Continuous Integration focuses on frequently integrating code changes into a shared repository.
When a developer pushes new code, an automated process can:
  • Build the application
  • Run tests
  • Detect errors
  • Report the result

Continuous Delivery

Continuous Delivery ensures that validated application changes are ready to be deployed.

Continuous Deployment

Continuous Deployment goes one step further by automatically deploying successful changes to the target environment.
A simplified workflow is:
Developer → Git → Build → Test → Deploy

Why Automate Deployment?

Imagine a developer makes a small change to a web application.
Without CI/CD:
1
2
3
4
5
6
7
8
9
10
11
Write Code
↓
Build Manually
↓
Test Manually
↓
Connect to Server
↓
Copy Application
↓
Restart Application
With CI/CD:
1
2
3
4
5
6
7
Push Code
↓
Automated Build
↓
Automated Tests
↓
Automated Deployment
Automation reduces repetitive work and creates a consistent deployment process.

AWS Services for CI/CD

AWS provides several services that can be used to build deployment pipelines.

AWS CodePipeline

AWS CodePipeline can coordinate the different stages of the software delivery process.
A pipeline could look like:
Source → Build → Test → Deploy
When a change is detected in the source repository, the pipeline can automatically move the change through the configured stages.

AWS CodeBuild

AWS CodeBuild provides a managed environment for compiling source code and running tests.
For example:
1
2
3
4
5
6
7
8
9
Source Code
↓
CodeBuild
↓
Install Dependencies
↓
Build Application
↓
Run Tests
The build process can be configured using a build specification file.

AWS CodeDeploy

AWS CodeDeploy can automate application deployments to supported compute environments.
Instead of manually copying files and restarting services, deployment steps can be defined and executed automatically.

A Simple Pipeline

A beginner-friendly pipeline could be:
1
2
3
4
5
6
7
8
9
10
11
12
13
Developer
↓
Source Repository
↓
CodePipeline
↓
CodeBuild
↓
Automated Tests
↓
Deployment
↓
Running Application
This means a developer can focus on writing code while the pipeline handles much of the repetitive delivery process.

CI/CD and Docker

CI/CD becomes especially useful when applications are containerized.
A pipeline could:
1
2
3
4
5
6
7
8
9
Push Code
↓
Build Docker Image
↓
Run Tests
↓
Push Image
↓
Deploy Container
This creates a repeatable process for building and deploying the same application artifact across environments.

Development and Production

A mature pipeline can contain multiple environments.
For example:
Development → Testing → Staging → Production
A developer's code can first be deployed to a testing environment.
After automated tests and required checks succeed, the change can proceed toward production.
This reduces the risk of deploying untested changes directly to users.

Adding Security to CI/CD

Automation should not mean ignoring security.
A secure pipeline should consider:
  • IAM permissions
  • Secret management
  • Dependency vulnerabilities
  • Infrastructure permissions
  • Access to production environments
  • Audit logs
Each pipeline component should have only the permissions it needs.
This connects directly to the principle of least privilege.

A Practical Beginner Project

A good way to learn CI/CD is to take an existing web application and automate its deployment.

Step 1

Create a simple application and store its source code in a repository.

Step 2

Configure an automated build process.

Step 3

Add automated tests.

Step 4

Create a deployment stage.

Step 5

Push a small code change.

Step 6

Watch the pipeline automatically build and deploy the new version.
At this point, you have transformed a manual deployment process into an automated workflow.

What Happens When Something Fails?

A good CI/CD pipeline should stop when an important stage fails.
For example:
1
2
3
4
5
6
7
Source
↓
Build ✓
↓
Tests ✗
↓
Deployment STOPPED
This prevents a broken build from automatically reaching production.
The developer can inspect the build or test logs, fix the problem, and push a new change.

Conclusion

CI/CD is an important part of modern software development because it turns application delivery into a repeatable and automated process.
AWS services such as CodePipeline, CodeBuild, and CodeDeploy provide building blocks for creating these workflows.
The most important concept is not memorizing individual AWS services. It is understanding the overall process:
Code → Build → Test → Deploy → Monitor
Once this workflow becomes automated, developers can spend less time performing repetitive deployment tasks and more time improving the application itself.
# ci-cd# devops
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
Enjoyed reading this content? Let the author know!

Your likes, comments, shares, and saves help creators reach more builders.

Loading recommendations

Loading article