Table of contents
What is CodePipeline?
Certainly! AWS CodePipeline is a service that automates the process of building, testing, and deploying software. It's a tool for creating and managing workflows, or pipelines, that take code from source control to production. It integrates with various AWS services and external tools to streamline the continuous integration and continuous delivery (CI/CD) process, making software development and deployment faster and more reliable.
Workflow of CodePipeline
The workflow of AWS CodePipeline involves several key steps or stages that automate the process of building, testing, and deploying code. Here's a simplified overview of the typical workflow:
Source Stage:
CodePipeline starts by monitoring a source code repository, such as AWS CodeCommit, GitHub, Bitbucket, or an Amazon S3 bucket.
When changes are detected in the source repository, CodePipeline triggers the pipeline execution.
The source stage pulls the latest source code, including any configuration files or scripts, from the repository.
Build Stage (optional):
In this stage, the source code is compiled, built, and prepared for deployment.
AWS CodeBuild is often used to automate this process. It compiles code, runs tests, and produces build artifacts.
Test Stage (optional):
If you have automated tests for your application, this stage is where those tests are executed.
You can use AWS CodeBuild or other testing frameworks/tools for this purpose.
If any tests fail, the pipeline can be configured to stop or proceed to deployment based on defined rules.
Deploy Stages:
CodePipeline typically includes multiple deploy stages to move the code through different environments, such as staging and production.
Each deploy stage can use services like AWS CodeDeploy, AWS Elastic Beanstalk, AWS Lambda, or custom deployment scripts to push the code changes to the respective environment.
After each deployment, you can optionally run additional tests or checks to ensure the deployment was successful.
Approval Stage (optional):
Between deploy stages, you can insert an approval stage to introduce a manual approval step.
This allows designated individuals or teams to review and approve the deployment before it progresses to the next environment or production.
Post-Deployment Actions (optional):
- After deployment, you can include additional actions such as sending notifications, updating documentation, or triggering other processes.
Artifact Management:
Throughout the pipeline, CodePipeline manages artifacts generated at each stage.
Artifacts can be stored in Amazon S3 buckets, and you can version them for tracking and rollback purposes.
Monitoring and Logging:
AWS CloudWatch can be used for monitoring and logging pipeline execution and performance.
You can set up alarms and notifications to alert you of any issues.
Access Control:
- AWS Identity and Access Management (IAM) is used to control access to CodePipeline and its various stages and actions.
Pipeline Visualization and History:
- CodePipeline provides a visual representation of the pipeline's status and history, making it easy to track the progress of code changes through the pipeline.
Task-01 :
Step-01: Go to CodePipeline service from AWS Management Console.
Step-02: Click on Create pipeline.
Step-03: Give a name to your pipeline and click on Next.
Step-04: Select AWS CodeCommit as Source provider and select your Repository name and Branch name and click on Next.
Step-05: Select AWS CodeBuild as Build provider and select your Region and Project name and click on Next.
Step-06: Select AWS CodeDeploy as Deploy provider and select your Region and Application name and Deployment group and click on Next.
Step-07: Review your pipeline.
- Click on
Create pipeline.
Thus, your pipeline is created.
Thus now go to the Public IP of your EC2 Instance and check the running index.html file.
So we have successfully created a CI/CD Pipeline on AWS using CodeCommit, CodeBuild & CodeDeploy.