From Code to Cloud: A Beginner’s CI/CD Pipeline on AWS
Learn how a simple CI/CD pipeline can automate the journey from code to cloud using GitHub and AWS services. This beginner-friendly guide covers AWS CodeBuild, CodeDeploy, EC2, IAM, and CloudWatch, along with the basic workflow of building, testing, deploying, and monitoring an application. A practical introduction to understanding how CI/CD fits into the AWS and DevOps workflow.
From Code to Cloud: A Beginner’s CI/CD Pipeline on AWS
Deploying an application manually can become repetitive as a project grows. Developers need to build the application, test the changes, upload the latest version, and deploy it again.
This is where CI/CD comes in.
CI/CD helps automate the journey from writing code to deploying an application. When combined with AWS services and tools such as GitHub, a simple workflow can turn code changes into a repeatable deployment process.
What is CI/CD?
CI stands for Continuous Integration.
It means developers frequently integrate their code into a shared repository. Automated processes can then build and test the changes to identify problems early.
CD stands for Continuous Delivery or Continuous Deployment.
It automates the process of preparing or deploying tested code to an environment.
A simple CI/CD flow looks like this:
Developer → GitHub → Build & Test → Deployment → AWS
A Simple AWS CI/CD Architecture
For a beginner-friendly project, we can use:
- GitHub – Source code repository
- AWS CodeBuild – Build and test the application
- AWS CodeDeploy – Deploy the application
- Amazon EC2 – Host the application
- IAM – Control permissions
- CloudWatch – Monitor application and deployment activity
- AWS CodeBuild – Build and test the application
- AWS CodeDeploy – Deploy the application
- Amazon EC2 – Host the application
- IAM – Control permissions
- CloudWatch – Monitor application and deployment activity
The overall workflow can be represented as:
Developer
│
▼
GitHub
│
▼
Build & Test
AWS CodeBuild
│
▼
AWS CodeDeploy
│
▼
Amazon EC2
│
▼
Running App
│
▼
GitHub
│
▼
Build & Test
AWS CodeBuild
│
▼
AWS CodeDeploy
│
▼
Amazon EC2
│
▼
Running App
Step 1: Store the Code in GitHub
The first step is to create a repository on GitHub and push the application code.
For example:
git init
git add .
git commit -m "Initial commit"
git push origin main
git add .
git commit -m "Initial commit"
git push origin main
Whenever new changes are pushed, the CI/CD workflow can start automatically.
Step 2: Build and Test the Application
The next stage is the build process.
AWS CodeBuild can install dependencies, run tests, and prepare the application for deployment.
A simple "buildspec.yml" file can define these instructions:
version: 0.2
phases:
install:
commands:
- echo Installing dependencies
install:
commands:
- echo Installing dependencies
build:
commands:
- echo Running build process
- echo Running tests
commands:
- echo Running build process
- echo Running tests
post_build:
commands:
- echo Build completed successfully
commands:
- echo Build completed successfully
The exact commands depend on the programming language and application.
Step 3: Deploy the Application
After the build succeeds, the application can be deployed to an EC2 instance using AWS CodeDeploy.
CodeDeploy helps automate application deployment instead of requiring every update to be copied manually to the server.
A deployment can include steps such as:
Stop/prepare application
↓
Copy new files
↓
Install dependencies
↓
Start application
↓
Verify deployment
↓
Copy new files
↓
Install dependencies
↓
Start application
↓
Verify deployment
Step 4: Run the Application on EC2
Amazon EC2 provides the virtual server where the application runs.
The EC2 instance can be configured with:
- Operating system
- Required runtime
- Application dependencies
- Security Group
- Application files
- Required runtime
- Application dependencies
- Security Group
- Application files
Once deployment is complete, users can access the application through the server.
Step 5: Manage Permissions with IAM
Security is an important part of a CI/CD pipeline.
AWS IAM (Identity and Access Management) can control which services and users are allowed to perform specific actions.
For example, CodeBuild and CodeDeploy should receive only the permissions they actually need.
Following the principle of least privilege helps reduce unnecessary access.
Step 6: Monitor the Deployment
After deployment, monitoring helps identify errors and performance problems.
Amazon CloudWatch can be used to collect metrics, logs, and events from AWS resources and applications.
For example, you can monitor:
- EC2 metrics
- Application logs
- Deployment activity
- Errors
- Resource utilization
- Application logs
- Deployment activity
- Errors
- Resource utilization
This makes troubleshooting easier when something goes wrong.
What Happens When We Push New Code?
Imagine you fix a bug and push the updated code to GitHub.
The workflow can look like this:
Code Change
↓
Git Push
↓
GitHub
↓
Build & Test
↓
CodeBuild
↓
CodeDeploy
↓
EC2
↓
Updated Application
↓
Git Push
↓
GitHub
↓
Build & Test
↓
CodeBuild
↓
CodeDeploy
↓
EC2
↓
Updated Application
Instead of manually repeating these steps, automation handles the process.
Why CI/CD is Useful
A CI/CD pipeline can provide several benefits:
Faster Deployments
Automated processes reduce repetitive manual work.
Early Bug Detection
Automated testing can identify problems before deployment.
Consistent Deployments
The same deployment process can be repeated for every release.
Reduced Manual Errors
Automation reduces the chances of missing a deployment step.
Better Developer Workflow
Developers can focus more on writing and improving the application.
CI/CD and DevOps
CI/CD is an important part of the DevOps approach.
DevOps brings development and operations processes closer together through collaboration, automation, monitoring, and continuous improvement.
A basic DevOps workflow can be represented as:
Plan → Code → Build → Test → Release → Deploy → Monitor
AWS provides services that can support many stages of this workflow.
Final Thoughts
Moving from code to a running application does not have to be a completely manual process.
A simple CI/CD pipeline using GitHub, AWS CodeBuild, AWS CodeDeploy, EC2, IAM, and CloudWatch can automate important parts of the deployment lifecycle.
For beginners learning AWS and DevOps, building a small CI/CD project is a practical way to understand how source code, cloud infrastructure, automation, deployment, and monitoring work together.
Code is only the beginning — the real journey is getting that code reliably into the cloud.
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