Juggling multiple databases slows every project and drains precious developer mental bandwidth. Imagine serving analytics, AI, and search from the same Postgres engine. Modern Postgres already solves these challenges, you only need the roadmap. Skip encyclopedic references, jump straight into working code and clear patterns. Build streaming, geospatial, and time series features faster than ever before. Stop overthinking your stack, just use Postgres and ship with confidence.
- Use-case chapters (eCommerce, streaming, IoT): Translate abstract concepts into relatable, production tested patterns.
- Modern SQL techniques (CTEs, window functions, JSON): Write concise queries, reduce application code complexity.
- Extension deep-dives (PostGIS, pgvector, timescaledb): Add AI, geospatial, and time-series power without extra infrastructure.
- Performance primers (indexes, partitioning, tuning): Keep latency low and throughput high for demanding workloads.
- Ready-to-run code snippets and Docker files: Accelerate learning, eliminate environment setup roadblocks.
Just Use Postgres! by veteran engineer Denis Magda is a concise, example-driven book that shows working developers exactly how to unlock Postgres for modern, multifaceted applications.
Each chapter tackles a real product scenario, from shopping carts to music streams and IoT sensors. Magda guides you through schema choices, index strategies, and powerhouse extensions using clear diagrams and runnable code.
Finish the book ready to build AI-enhanced, searchable, analytics-ready services on a single Postgres instance. Save licensing costs, simplify deployments, and slash maintenance by consolidating diverse workloads into one robust database.
Perfect for developers who know basic SQL and now need production-grade scalability, search, and AI capabilities.
Table of Contents:
PART 1. POSTGRES AS RELATIONAL DATABASE
1 MEETING POSTGRES
2 STANDARD RDBMS CAPABILITIES
3 MODERN SQL
4 INDEXES
PART 2. CORE POSTGRES BEYOND RELATIONAL
5 POSTGRES AND JSON
6 POSTGRES FOR FULL-TEXT SEARCH
PART 3. EXTENSIONS AND BROADER ECOSYSTEM
7 POSTGRES EXTENSIONS
8 POSTGRES FOR GENERATIVE AI
9 POSTGRES FOR TIME SERIES
10 POSTGRES FOR GEOSPATIAL
11 POSTGRES AS MESSAGE QUEUE
APPENDIX
APPENDIX A: FIVE OPTIMIZATION TIPS
APPENDIX B: WHEN NOT TO USE POSTGRES
