How We Made Our Supabase RLS Migrations Idempotent (And Why You Should Too)

<h1> Zero-Downtime Fail-Safe &amp; Automated Rollback Suite for Legacy Database Schema Migrations </h1> <p><strong>Target Audience:</strong> Backend engineers, DBAs, and

<p><em>This is a submission for <a href="https://dev.to/bugsmash">DEV's Summer Bug Smash: Smash Stories</a> powered by <a href="https://sentry.io/" rel="noopener

<blockquote> <p>Episode <strong>1/4</strong> of the mini-series <em>The week Supabase lied to me 4 times</em>. The three following episodes cover a mutation silently swallowed by

<p><strong>TL;DR</strong></p> <ul> <li>Docker Supabase on an 8 GB laptop: 12 containers, ~1.6 GB RAM idle, 45 s cold boot</li> <li>Tinbase: one ~58 MB binary, real Postgres 17,

<p>If your SaaS charges customers and also plugs into those customers' billing stack, you do not have one billing problem. You have two.</p> <p>You need to bill your own customer

<p>We test our Java code, our APIs, our frontend, and even our infrastructure. Yet database migrations—one of the most critical and high-risk parts of any application

<p>Two things quietly decide whether a small application survives being used: whether its reads<br /> are indexed, and whether its writes can be repeated safely. They are usually