AWS CDK Infrastructure as Code
CI/CD Platform Engineering with AWS CDK (Python)
Provisioned a production-style CI/CD platform on AWS using CDK (Python), integrating GitHub source, CodePipeline, CodeBuild, and S3 via Infrastructure as Code. This project demonstrates how to eliminate manual, console-based CI/CD setup by making the entire AWS CI/CD pipeline reproducible, version-controlled, and deployable via IaC.
Project Summary
Comprehensive Project Overview
Project Category
DevOps / Platform Engineering (CI/CD Infrastructure)
Industry/Domain
Cloud Infrastructure / DevOps Platforms
DevOps Focus
CI/CD Platform Engineering (Infrastructure as Code using AWS CDK)
Key Technologies & Concepts
Core Technologies Used
AWS CI/CD Keywords
Problem & Objective
What problem did this project solve?
Problems Solved
- Eliminated manual, console-based CI/CD setup
- Reduced setup errors and configuration drift
- Made CI/CD platform easy to recreate or modify consistently
- Improved reproducibility and version control of infrastructure
Primary Objectives
- Provision a reusable CI/CD platform on AWS using Infrastructure as Code (AWS CDK in Python)
- Automatically integrate GitHub source with CodePipeline and CodeBuild
- Enable consistent, repeatable build automation
- Implement secure token management using AWS Secrets Manager
Solution & Architecture
Architectural Overview
Solution Overview
Designed and deployed a CI/CD platform on AWS using AWS CDK (Python) to provision CodePipeline (orchestration), CodeBuild (build automation), IAM roles, Secrets Manager (GitHub token), and S3 (artifacts), enabling reproducible, version-controlled pipeline infrastructure sourced from GitHub.
Environment separation is implemented logically via pipeline stages and deployment targets (S3 stage/prod paths), mirroring environment constructs used in Azure and GCP.
AWS CDK transforms Python code into CloudFormation templates, which then provision the infrastructure. The entire CI/CD platform can be recreated or scaled by re-deploying CDK stacks.
Key Components
- AWS CDK (Python) - Infrastructure as Code
- AWS CloudFormation - IaC backend (via CDK synth)
- AWS CodePipeline - CI/CD orchestration
- AWS CodeBuild - build automation
- GitHub - source repository
- AWS Secrets Manager - GitHub token management
- Amazon S3 - build artifact storage
- IAM Roles & Policies - pipeline security
- Buildspec.yaml - build instructions
Scalability & Reliability
- Reproducibility via IaC: Entire CI/CD platform can be recreated or scaled by re-deploying CDK stacks
- Managed CI/CD services: Using AWS CodePipeline and CodeBuild provides built-in availability and fault tolerance
- Stateless builds: Build jobs are ephemeral, improving reliability and reducing drift
- IAM least-privilege roles: Improves operational reliability and security of the pipeline
Skills & Technologies Used
Technical Proficiency Demonstrated
Primary Skills
- AWS CDK (Python) - Intermediate
- CI/CD Platform Engineering - Intermediate
- AWS CodePipeline - Intermediate
- AWS CodeBuild - Intermediate
- Infrastructure as Code (IaC) - Intermediate
- AWS IAM (Roles & Policies) - Intermediate
Secondary Tools / Frameworks
- AWS CloudFormation (via CDK synth)
- AWS Secrets Manager
- Amazon S3
- GitHub
- Buildspec.yaml
- AWS CLI
Programming Languages
- Python (for AWS CDK IaC)
- YAML (for Buildspec configuration)
AWS DevOps Tools
Challenges & Outcomes
Technical challenges and how they were resolved
Key Technical Challenges
- Configuring secure GitHub integration using OAuth tokens stored in AWS Secrets Manager
- Setting up correct IAM roles and permissions for CodePipeline and CodeBuild to access S3, Secrets Manager, and source actions
- Understanding and managing the CDK lifecycle (bootstrap, synth, deploy) and CloudFormation stack dependencies
- Debugging pipeline execution failures using CodeBuild logs and CodePipeline stage outputs
How They Were Resolved
- GitHub integration: Generated a GitHub token and securely stored it in AWS Secrets Manager, then referenced it in the CDK stack
- IAM permissions: Defined and adjusted IAM roles/policies for CodePipeline and CodeBuild to grant least-privilege access to required services
- CDK lifecycle issues: Used cdk bootstrap → cdk synth → cdk deploy to correctly provision prerequisites and validate CloudFormation templates before deployment
- Pipeline failures: Inspected CodeBuild logs and CodePipeline stage outputs to identify misconfigurations (e.g., buildspec, permissions) and iteratively fixed them
AWS DevOps CI/CD - Architecture & YAML Mapping
Architecture to CDK/YAML construct mapping
| Architecture Block | AWS CI/CD Construct |
|---|---|
| CodeCommit / GitHub | Source action (CodePipeline) / GitHub webhook |
| AWS CodePipeline | Pipeline root, Stages |
| Linux Runner | CodeBuild environment (environment: type: LINUX_CONTAINER) |
| Build Stage | CodeBuild project (buildspec.yml → phases) |
| Artifact Storage | Amazon S3 / Amazon ECR |
| Deployment Target | AWS CodeDeploy / ECS / EC2 / S3 |
| Security & Auth | IAM roles & policies |
| Logs & Monitoring | CloudWatch Logs |
| Infrastructure as Code | AWS CDK (Python/TypeScript) → CloudFormation |
| Secrets Management | AWS Secrets Manager (GitHub tokens) |
Assets & References
Code, diagrams, study material
Project Implementation Details
- AWS CDK Infrastructure Setup: AWS CDK installed with Node.js prerequisites
- AWS Programmatic User: Created IAM user with programmatic access for CLI operations
- Security Credentials: Access Key and Secret Access Key configured via AWS CLI
- CDK Bootstrap: One-time setup of CDK Toolkit on CloudFormation
- GitHub Token Integration: Personal access token stored in AWS Secrets Manager
- CDK Project Structure:
- requirements.txt - Python dependencies
- app.py - CDK application entry point
- stack.py - Infrastructure definition
- cdk.json - CDK configuration
- Pipeline Components: CodePipeline with source (GitHub) and build (CodeBuild) stages
- Artifact Storage: S3 bucket for build artifacts
- Build Instructions: Buildspec.yaml defining build phases and commands
GitHub Repository
Source code repository containing AWS CDK infrastructure code and pipeline definitions.
Access Repository