[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjI5Njc","title","Lift the Elephant","state","published","contactAuthorMethod","email","aboutText","

Scaling a database is often a journey that starts simply and grows complicated fast. PostgreSQL is one of the most trusted and capable databases out there, but as your application evolves, so do the demands placed on it. What begins as a straightforward setup for data storage can quickly grow into a sprawling ecosystem that requires strategic tuning, scaling, and diligent maintenance.

This book is about navigating that journey. It’s not a beginner’s guide or a list of theoretical best practices—it’s a playbook for tackling the real-world challenges of scaling Postgres in high-demand environments. From parameter tuning and connection pooling to partitioning, and active-active setups, I’ll walk you through the techniques and strategies that enable Postgres to thrive under pressure.

These lessons come from scaling Hubstaff, a platform that serves thousands of businesses worldwide. As the CTO, I’ve been in the trenches of database scaling, learning through late-night incident mitigations, unexpected bottlenecks, and breakthrough optimizations. Scaling Postgres has often felt like lifting an elephant: a task that seems impossible until you figure out how to approach it.

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