This project provides a CI/CD (Continuous Integration/Continuous Deployment) pipeline for managing AWS Lambda functions. The pipeline automates the build, test, and deployment processes, using AWS services and infrastructure-as-code tools.
The CI/CD pipeline utilizes the following technologies and tools:
AWS Lambda: Serverless compute service for running code without provisioning or managing servers. AWS CodePipeline: Fully managed continuous delivery service for orchestrating the CI/CD workflow. AWS CodeBuild: Fully managed build service for compiling, testing, and packaging code. AWS CloudFormation: Service for provisioning and managing AWS resources using infrastructure-as-code templates. AWS IAM: Identity and Access Management service for managing user access and permissions. AWS S3: Simple Storage Service for storing deployment artifacts and other files. AWS Secrets Manager: Service for securely storing and managing secrets, such as API keys or database credentials. YAML (YAML Ain't Markup Language): Human-readable data serialization format used for defining CI/CD pipeline workflows. Terraform: Infrastructure-as-code tool for provisioning and managing cloud resources. Project Structure The project is structured as follows:
src/: Directory containing the source code of the AWS Lambda functions. tests/: Directory containing unit tests for the Lambda functions. .github/workflows/: Directory containing YAML files defining the CI/CD workflows using GitHub Actions. terraform/: Directory containing Terraform configuration files for provisioning AWS resources. CI/CD Workflow The CI/CD workflow consists of the following stages:
Whenever changes are pushed to the repository, the CI/CD pipeline is triggered. Build: The pipeline uses AWS CodeBuild to compile the Lambda function code, run tests, and create deployment artifacts. Deploy: The pipeline uses AWS CloudFormation and Terraform to provision the necessary infrastructure, such as Lambda functions, IAM roles, and any other required resources.
After successful deployment, the pipeline cleans up any temporary resources or artifacts. Notifications: Notifications or alerts can be configured to inform stakeholders about the status of the deployment.
To get started with this CI/CD project, follow these steps:
Set up AWS credentials: Configure AWS credentials with appropriate permissions to create and manage Lambda functions, IAM roles, S3 buckets, CloudFormation stacks, and other required resources. Set up Terraform: Install Terraform and configure it to work with your AWS account. Update AWS resources: Update the Terraform configuration files in the terraform/ directory to define the desired AWS resources and configurations for your project. Define workflows: Update the YAML files in the .github/workflows/ directory to define your CI/CD workflows using GitHub Actions. Customize the workflow triggers, steps, and integration with AWS services as per your requirements. Configure secrets: Use AWS Secrets Manager or GitHub repository secrets to securely store any sensitive information required for the pipeline, such as API keys or database credentials. Push changes: Commit and push your changes to the repository to trigger the CI/CD pipeline and start the deployment process. Contributing Contributions to this CI/CD project are welcome! If you encounter any issues, have suggestions, or would like to contribute enhancements or new features, please feel free to open an issue or submit a pull request.
This CI/CD project is released under the MIT License. You are free to modify and distribute the codebase as per the terms of the license.