AWS Lambda CI/CD and Terraform Deployment Template

A complete template for deploying Python code to AWS Lambda using a CI/CD pipeline. It includes everything you need to get started, from infrastructure setup with Terraform to containerizing your application with Docker. This template is designed to be a starting point for more complex and advanced code and deployments.

Overview

This project demonstrates how to deploy a Python application as an AWS Lambda function using a fully automated CI/CD pipeline and manage the required infrastructure using Terraform. The key components include:

• GitHub: Version control and CI/CD automation using GitHub Actions.
• Terraform: Infrastructure as Code (IaC) to provision AWS resources.
• AWS: Services including Lambda, and ECR.
• Docker: Containerization of the Python application.

Architecture

flowchart LR
    A[Developer Pushes Code to GitHub] --> B[GitHub Actions Triggered]
    B --> C[Build Docker Image]
    C --> D[Push Docker Image to ECR]
    D --> E[Update Lambda Function with New Image]
    E --> F[Lambda Function Deployed]

    A --> G[GitHub Actions Triggered for Terraform]
    G --> H[Terraform Initializes]
    H --> I[Terraform Plans Infrastructure]
    I --> J[Terraform Applies Changes]

    subgraph AWS Infrastructure
        direction TB
        J --> S3[Create S3 Bucket for Terraform State]
        J --> ECR[Create ECR Repository]
        J --> LAMBDA[Create Lambda Function]
        J --> IAM[Create IAM Role and Policies]
    end

    subgraph Local Development
        direction TB
        C
        D
    end

    subgraph GitHub
        direction TB
        B
        G
    end

    subgraph AWS Lambda Deployment
        direction TB
        E
        F
    end

    subgraph Terraform Process
        direction TB
        H
        I
        J
    end

Loading

The system design emphasizes:

• Replicability: Ensuring the environment can be reproduced easily.
• Automation: Minimizing manual steps in the deployment process.
• Everything as Code: Managing infrastructure and pipelines using code for consistency and version control.
• Self-Documentation: Using code to document the system, making it easier to understand and maintain.

Prerequisites

• AWS Account
• AWS CLI configured with appropriate permissions
• GitHub account

Usage

After deploying, your Lambda function will be accessible via AWS console.

Contributing

Contributions are welcome! Please fork this repository and submit pull requests with any improvements or bug fixes.