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Performance optimization and scaling strategies for modern software systems. Auto-scaling, caching, database optimization.

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Performance & Scaling Guides

Part of the Comprehensive Documentation Framework

A comprehensive collection of performance optimization and scaling strategies for modern software systems.

What's Included

This repository contains battle-tested performance and scaling guides based on production experience:

🚀 Core Performance & Scaling Guides

Who This Is For

  • 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

Quick Start

  1. Assess Current State: Start with performance monitoring to understand your baseline
  2. Identify Bottlenecks: Use the guides to identify performance issues
  3. Implement Solutions: Follow the step-by-step optimization guides
  4. Monitor & Iterate: Continuously monitor and improve performance

Implementation Philosophy

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

Key Topics Covered

Auto-Scaling

  • Horizontal vs Vertical scaling strategies
  • Predictive scaling algorithms
  • Container orchestration with Kubernetes
  • Cloud provider auto-scaling (AWS, Azure, GCP)

Database Performance

  • Query optimization techniques
  • Index strategies and performance
  • Connection pooling and management
  • Database sharding and partitioning

Caching Strategies

  • Multi-layer caching architecture
  • CDN optimization and configuration
  • Cache invalidation patterns
  • Global distribution strategies

Performance Monitoring

  • Real-time performance metrics
  • Application performance monitoring (APM)
  • Infrastructure monitoring
  • Alert configuration and management

Contributing

Found an issue or want to improve a guide?

  1. Open an Issue: Report problems or suggest improvements
  2. Submit a Pull Request: Contribute improvements or new content
  3. Share Your Experience: Add real-world performance case studies

Related Documentation

This repository is part of a comprehensive documentation framework:

Tech Stack Coverage

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

License

MIT License - Use these guides in any project, commercial or personal.

Support

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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Built with ❤️ by Niranjan Bala for the developer community