Free Download Scaling PostgreSQL to 1 Billion Queries per Day: High-Performance Architecture, Query Optimization, Indexing Strategies, and Real-World Scaling Techniques for PostgreSQL at Massive Scale by Md Mahbubur Rahman
English | August 10, 2025 | ISBN: N/A | ASIN: B0FLY45MMD | PDF | 0.50 Mb
Unlock the secrets of scaling PostgreSQL to unprecedented heights - up to one billion queries per day - with this ultimate guide for database professionals.
PostgreSQL is one of the most powerful open-source relational database systems in the world, trusted by companies of all sizes, from startups to Fortune 500 enterprises. But while PostgreSQL is incredibly feature-rich, most deployments never come close to its true performance potential. That's where this book comes in.
In Scaling PostgreSQL to 1 Billion Queries per Day, you'll learn battle-tested strategies and engineering practices used by high-traffic applications, global SaaS platforms, fintech services, and large-scale analytics systems to achieve massive query throughput while maintaining stability, security, and cost-efficiency.What You'll Learn
This book doesn't just explain theory-it's packed with real-world implementation details and optimization workflows. You'll discover:High-Performance PostgreSQL Architecture: Design your infrastructure for extreme scalability using replication, sharding, and partitioning.Advanced Query Optimization: Identify and eliminate performance bottlenecks using EXPLAIN plans, indexing strategies, and query rewrites.Indexing at Scale: Learn when to use B-Tree, Hash, GIN, BRIN, and covering indexes to serve millions of queries efficiently.Connection Pooling & Caching Layers: Implement PgBouncer, HAProxy, and Redis to handle large volumes of concurrent connections without overloading PostgreSQL.Replication & High Availability: Set up synchronous and asynchronous replication for fault tolerance and zero downtime deployments.Load Balancing & Traffic Management: Distribute queries across multiple nodes and optimize read/write paths for maximum throughput.PostgreSQL Configuration Tuning: Fine-tune parameters like work_mem, shared_buffers, and max_connections for large-scale workloads.Monitoring & Performance Analytics: Use tools like pg_stat_statements, Prometheus, and Grafana to track performance in real time.Disaster Recovery & Backups at Scale: Ensure data integrity and resilience in high-traffic environments.Why This Book Is Different
While many PostgreSQL books cover basic database administration, this book focuses entirely on high-performance scaling and large-scale query optimization. You'll see step-by-step tuning examples, configuration templates, and architecture diagrams that you can apply directly to your own environment. Whether you're running on bare metal, virtual machines, or cloud platforms like AWS RDS, Google Cloud SQL, or Azure Database for PostgreSQL, these techniques will help you achieve enterprise-grade scalability.Who This Book Is ForDatabase Engineers looking to push PostgreSQL to its performance limits.Backend Developers who need to handle high-traffic APIs and complex queries.DevOps Professionals managing mission-critical PostgreSQL clusters in production.Software Architects designing systems for millions-or billions-of requests.Technical Leads & CTOs making infrastructure scaling decisions.Whether you're working in e-commerce, fintech, gaming, IoT, or SaaS, this book equips you with the skills to design, deploy, and maintain PostgreSQL systems that can handle massive throughput.
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