The startup's Postgres survival guide
A software engineer provides a practical guide for startups on managing and optimizing PostgreSQL databases in production. The article emphasizes schema design, iterative development, and moving beyond ORM abstractions to write efficient SQL.
Why it matters
Database performance is a critical bottleneck for scaling startups; this guide offers actionable technical advice for avoiding common production failures.
A guide to preventing Postgres from toppling over.
Alexander Belanger Co-Founder Hatchet Over the past half year or so, I’ve been writing an internal doc for our engineers trying to distill two years of Postgres battles into a somewhat cohesive document. While I love the Postgres manual , I find it’s hard to turn to when shit hits the fan because it’s just so darn comprehensive. I thought this might be useful for others and would appreciate feedback (or other tidbits that you’ve learned running Postgres in production).
Before starting Hatchet, while I was familiar with SQL, the extent of my knowledge was basically: if a query is slow, you need an index. That’s the starting point for this doc; I’m going to assume you’re familiar with SQL basics, rows, tables, and know roughly what an index is.
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