Part of the Comprehensive Documentation Framework
A comprehensive collection of performance optimization and scaling strategies for modern software systems.
This repository contains battle-tested performance and scaling guides based on production experience:
- Auto-Scaling Patterns - Intelligent scaling strategies and implementation
- Database Performance Optimization - Query optimization and performance tuning
- CDN & Caching Strategies - Multi-layer caching and global distribution
- Performance Monitoring - Comprehensive monitoring and alerting strategies
- Scaling Strategies - Horizontal and vertical scaling approaches
- Load Testing - Performance testing methodologies and tools
- DevOps Engineers - Implementing scalable infrastructure
- Backend Developers - Optimizing application performance
- System Architects - Designing scalable systems
- SRE Teams - Maintaining high-performance systems
- CTO/Technical Leaders - Making scaling decisions
- Assess Current State: Start with performance monitoring to understand your baseline
- Identify Bottlenecks: Use the guides to identify performance issues
- Implement Solutions: Follow the step-by-step optimization guides
- Monitor & Iterate: Continuously monitor and improve performance
These guides follow a data-driven approach:
- Measure First: Always measure before optimizing
- Production-Tested: All strategies have been proven in production
- Scalable Solutions: Patterns that work from thousands to millions of users
- Cost-Effective: Balance performance with infrastructure costs
- Horizontal vs Vertical scaling strategies
- Predictive scaling algorithms
- Container orchestration with Kubernetes
- Cloud provider auto-scaling (AWS, Azure, GCP)
- Query optimization techniques
- Index strategies and performance
- Connection pooling and management
- Database sharding and partitioning
- Multi-layer caching architecture
- CDN optimization and configuration
- Cache invalidation patterns
- Global distribution strategies
- Real-time performance metrics
- Application performance monitoring (APM)
- Infrastructure monitoring
- Alert configuration and management
Found an issue or want to improve a guide?
- Open an Issue: Report problems or suggest improvements
- Submit a Pull Request: Contribute improvements or new content
- Share Your Experience: Add real-world performance case studies
This repository is part of a comprehensive documentation framework:
- Main Framework - Overview and links to all categories
- Development Guides - Development practices and patterns
- Architecture Guides - System architecture and design patterns
- Security Guides - Security implementation and best practices
- Operations & Maintenance - Operational procedures
While examples may reference specific technologies, the principles apply to any stack:
- Cloud Providers: AWS, Azure, GCP, DigitalOcean
- Databases: PostgreSQL, MongoDB, Redis, Elasticsearch
- Caching: Redis, Memcached, CDN providers
- Monitoring: Prometheus, Grafana, New Relic, DataDog
- Orchestration: Kubernetes, Docker Swarm, ECS
MIT License - Use these guides in any project, commercial or personal.
If these guides help you build high-performance systems, consider:
- ⭐ Star the repository to show your appreciation
- 🤝 Share with your team to spread best practices
- 💡 Contribute improvements to help the community
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