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Add comprehensive CloudKeep project configurations - #2
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AbgaryanNver merged 7 commits intoNov 28, 2025
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This commit adds complete infrastructure and deployment configurations: - Backend Dockerfile: Node.js 18 Alpine-based container with health checks - Backend serverless.yml: AWS Lambda functions for file operations (upload, download, list, delete, share) with S3 storage and DynamoDB metadata tracking - Frontend Dockerfile: Multi-stage build with React and Nginx for production - GitHub build workflow: Automated testing, linting, Docker builds, and security scanning for both frontend and backend - GitHub deploy workflow: Multi-environment deployment (dev, staging, production) with AWS Lambda and S3 hosting Infrastructure includes: - S3 bucket for file storage with versioning and lifecycle rules - DynamoDB table for file metadata with GSI for date-based queries - Lambda authorizer for API security - CORS configuration for cross-origin requests - CloudFront invalidation support for production
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This commit adds the full implementation for both backend and frontend: Backend (Node.js/Serverless): - package.json with all dependencies (AWS SDK, Express, Jest, Serverless) - Lambda handlers for file operations: * upload.js - Upload files to S3 with DynamoDB metadata * download.js - Generate presigned URLs for file downloads * list.js - List user files with pagination * delete.js - Soft delete files from S3 and DynamoDB * share.js - Generate shareable presigned URLs * authorizer.js - Simple token-based API authorization - index.js - Express server for Docker deployment - Unit tests with Jest for handler validation - .gitignore for Node.js projects Frontend (React): - package.json with React 18 and dependencies - Complete React application with: * File upload interface with drag-and-drop support * File listing with metadata display * Delete functionality * Responsive design with gradient UI * API integration with backend - App.js - Main application component - App.css - Modern styling with animations - App.test.js - Component tests with React Testing Library - nginx.conf - Production web server configuration - public/index.html - App entry point - .gitignore for React projects The application is now ready to build and deploy!
Updated README.md with detailed instructions covering: - Complete installation guide - Local development setup (both Express and Serverless modes) - Docker deployment instructions with docker-compose example - Testing guidelines for both backend and frontend - AWS deployment procedures - Complete API documentation with all endpoints - Authentication details - Environment variables reference - Project structure overview - Contributing guidelines The README now provides everything developers need to: - Get started quickly with the project - Understand the architecture - Run the application locally - Deploy to production - Use the API effectively
This commit resolves test failures and build issues: Testing Improvements: - Updated frontend tests to mock fetch API calls - Added waitFor assertions to handle async state updates - Added comprehensive test for API calls on mount - Fixed backend Jest configuration with dedicated config file - Removed duplicate Jest config from package.json ESLint Configuration: - Added .eslintrc.json for backend with Node.js environment - Added .eslintrc.json for frontend with React app presets - Disabled console warnings for development Build Workflow Fixes: - Changed from npm ci to npm install (package-lock.json not in repo) - Removed cache-dependency-path references - Ensured workflows can run without lock files - Applied fixes to both build.yml and deploy.yml The tests will now pass successfully: - Frontend tests properly mock network requests - Backend tests run with correct Jest configuration - GitHub Actions workflows install dependencies correctly - ESLint runs without errors
Changed both Dockerfiles to use npm install instead of npm ci: - Backend Dockerfile: Changed to npm install --only=production - Frontend Dockerfile: Changed to npm install This fixes the Docker build failures since package-lock.json files are not committed to the repository (they're in .gitignore). Docker builds will now succeed in the CI/CD pipeline.
This major update implements comprehensive AWS infrastructure using Terraform with security best practices and Cognito authentication. Infrastructure (Terraform): - Complete VPC setup with public/private subnets across 3 AZs - NAT Gateways for outbound internet access from private subnets - VPC Endpoints for S3 and DynamoDB (cost optimization) - AWS Cognito User Pool with MFA and password policies - Security Groups for ALB, Lambda, and ElastiCache - S3 bucket with encryption, versioning, and lifecycle policies - DynamoDB table with GSI and point-in-time recovery - ElastiCache Redis cluster for caching - Application Load Balancer with HTTPS support - API Gateway with Cognito authorizer - Lambda IAM roles with least privilege policies - Modular structure for reusability - Environment-specific configurations (dev/staging/prod) AWS Best Practices Implemented: ✓ Network isolation (private subnets for Lambda) ✓ Encryption at rest (S3, DynamoDB) ✓ High availability (multi-AZ deployment) ✓ Security groups with restrictive rules ✓ VPC endpoints for AWS service access ✓ IAM roles with minimal permissions ✓ S3 lifecycle policies ✓ DynamoDB on-demand billing ✓ ElastiCache for performance ✓ ALB for load distribution ✓ Cognito for secure authentication Backend Updates: - Added aws-jwt-verify dependency for Cognito token validation - Updated authorizer to verify JWT tokens from Cognito - Maintained backward compatibility with development tokens - Added USER_POOL_ID and USER_POOL_CLIENT_ID env vars Frontend Updates: - Added AWS Amplify and Amplify UI dependencies - Prepared for Cognito authentication integration - Ready for sign-up, sign-in, and MFA workflows Documentation: - Comprehensive Terraform README with: * Architecture overview * Prerequisites and setup instructions * Usage examples for all environments * Security best practices * Cost optimization tips * Troubleshooting guide * Integration with Serverless Framework Directory Structure: terraform/ ├── main.tf (root configuration) ├── variables.tf (variable definitions) ├── outputs.tf (infrastructure outputs) ├── modules/ (8 reusable modules) │ ├── vpc/ (networking) │ ├── cognito/ (authentication) │ ├── security/ (security groups) │ ├── s3/ (file storage) │ ├── dynamodb/ (metadata) │ ├── elasticache/ (caching) │ ├── lambda/ (compute) │ ├── api-gateway/ (API management) │ └── alb/ (load balancing) └── environments/ (env-specific configs) Next Steps: 1. Initialize Terraform: terraform init 2. Deploy infrastructure: terraform apply 3. Configure backend with Terraform outputs 4. Deploy Lambda functions via Serverless 5. Configure frontend with Cognito details
Updated README with complete step-by-step deployment instructions: Deployment Documentation Added: - Complete Terraform setup guide (15 minutes deployment time) - AWS infrastructure prerequisites (Terraform, AWS CLI) - Terraform state backend configuration (S3 + DynamoDB) - Step-by-step Terraform initialization and deployment - Backend deployment with Serverless Framework - Frontend deployment to S3 with static hosting - Post-deployment Cognito configuration - Custom domain setup instructions - GitHub Actions secrets configuration - Monitoring and logging setup - Cost estimation (~$51/month dev, ~$150-200/month prod) - Cost optimization tips Complete Infrastructure Deployment Flow: 1. Create Terraform state backend (S3 + DynamoDB) 2. Initialize Terraform 3. Review and apply infrastructure plan 4. Save Terraform outputs (Cognito, S3, DynamoDB, etc.) 5. Configure backend .env with outputs 6. Deploy Lambda functions via Serverless 7. Configure frontend with AWS config 8. Build and deploy frontend to S3 9. Create Cognito test users 10. Access application via ALB DNS Test Fixes: - Mock aws-jwt-verify module in backend tests - Set NODE_ENV=development for test environment - Ensure authorizer uses fallback for development tokens - All tests now pass without external dependencies Benefits: - Single comprehensive guide for complete deployment - No need to reference multiple files - Clear prerequisites and time estimates - Cost transparency with optimization tips - Production-ready configuration examples - Monitoring and troubleshooting included The README now serves as a complete deployment manual with all necessary commands, configurations, and best practices.
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This commit adds complete infrastructure and deployment configurations:
Infrastructure includes: