🔥 Cache Warming Service

A scalable, cloud-native cache warming solution for Varnish and Shopware, built with AdonisJS, Bun, and Nuxt, running on Kubernetes.

📋 Overview

Cache Warming Service provides an enterprise-grade solution for warming Varnish and Shopware caches. By proactively visiting pages, scrolling through content, and monitoring cache effectiveness, our service ensures optimal performance for your e-commerce and web applications.

🚀 Key Features

• Intelligent Crawling: Parses your sitemaps and prioritizes the most important pages
• Real User Simulation: Scrolls and interacts with pages like a real user
• Cache Validation: Verifies that your cache is actually working
• Advanced Analytics: Monitors performance and provides actionable insights
• Auto-Scaling: Handles any site size with Kubernetes-based auto-scaling
• Flexible Scheduling: Run cache warming on your schedule
• Email Reporting: Get comprehensive reports via email

🏗️ Project Structure

This project uses a monorepo structure with the following components:

• packages/api: AdonisJS backend API
• packages/worker: Bun-based cache warming worker
• packages/dashboard: Nuxt.js frontend
• packages/shared: Shared code and types
• k8s: Kubernetes configuration files

📝 Task List

Phase 1: Setup & Infrastructure

• Initialize monorepo structure with Yarn/npm workspaces
• Set up AdonisJS API project
• Set up Nuxt dashboard project
• Set up Bun worker project
• Create shared package for common code
• Configure Docker builds for each component
• Set up basic Kubernetes configurations
• Configure GitHub Actions for CI/CD
• Set up development environment with Docker Compose

Phase 2: Core Functionality

• Implement user authentication system
• Create database models and migrations
• Build sitemap parser and URL extraction
• Implement the browser automation for cache warming
• Create job queueing system
• Build cache validation logic
• Implement metrics collection
• Create basic API endpoints
• Design and implement the dashboard UI

Phase 3: Enhanced Features

• Implement email reporting system
• Add custom scheduling capabilities
• Build the plugin architecture
• Implement Shopware-specific optimizations
• Add Varnish-specific features
• Create analytics and visualization components
• Implement role-based access control
• Add multi-user support
• Build webhook notification system

Phase 4: Scaling & Performance

• Implement horizontal pod autoscaler for workers
• Add custom metrics for Kubernetes scaling
• Optimize crawling engine for performance
• Implement distributed crawling architecture
• Add rate limiting and request throttling
• Optimize database queries and indexing
• Set up caching for API responses
• Fine-tune resource requests/limits in Kubernetes

Phase 5: Testing & QA

• Write unit tests for all components
• Create integration tests
• Set up end-to-end testing
• Perform load testing and benchmarking
• Security audit and penetration testing
• Cross-browser compatibility testing
• Mobile responsiveness testing
• Documentation review and update

Phase 6: Launch & Operations

• Set up production monitoring with Prometheus/Grafana
• Configure log aggregation with Loki
• Create disaster recovery procedures
• Document operational runbooks
• Prepare marketing materials
• Launch beta program
• Gather and incorporate user feedback
• Official launch

📚 Documentation

• Technical Concept
• Pricing Structure
• GitHub Actions

🌐 Development

Prerequisites

• Node.js 18+
• Bun runtime
• Docker and Docker Compose
• Kubernetes cluster (for deployment)
• PostgreSQL
• Redis

Local Development

# Clone the repository
git clone https://github.com/your-org/cache-warming-service.git
cd cache-warming-service

# Install dependencies
yarn install

# Start the development environment
docker-compose up -d

# Start API in development mode
yarn workspace @cache-warmer/api dev

# Start dashboard in development mode
yarn workspace @cache-warmer/dashboard dev

# Start worker in development mode
yarn workspace @cache-warmer/worker dev

Building for Production

# Build all packages
yarn build

# Build specific package
yarn workspace @cache-warmer/api build

🚢 Deployment

See Kubernetes deployment instructions for detailed information on deploying to a Kubernetes cluster.

🔄 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.