Ship faster and safer when DB changes get checked against production first.

Start with CI checks against production. Then give coding agents real database context, work the action items, and reach steady state. GitHub login and a collector install via CLI get you there in less than an afternoon.

GitHub login, then a collector install. Less than an afternoon.

1. 1

   Protect Protects the database while you ship faster.

   Put DBGorilla in your CI.

   Every database change is checked against production before it merges. Lock duration at the table's live size. The index a query assumes. The plan at real cardinality. Your workflow stays the same. The 2am failure mode goes away.

2. 2

   Prevent Prevents bad SQL before it ships.

   Stop the bad SQL from being written at all.

   Your coding agents see the real picture as they write. Schema and drift. The queries that actually run. Live contention. Same source of truth as CI, so authoring advice and merge checks never disagree. Your team has already watched the bot work. This is the obvious next step.

3. 3

   Improve Clears debt from ranked action items.

   Work the action items already on the list.

   From day one, DBGorilla builds a ranked list: indexes to add or drop, plan regressions, bloat, stale statistics. Each item includes the cause and a fix validated on a production-shaped clone. When you are ready to optimize, the list is already there.

4. 4

   Steady Makes database work routine.

   Database work becomes business as usual.

   At some point, nobody carries the production database in memory anymore. Nothing was lost when they stopped. The knowledge lives in the system that checks every change, not in a wiki or one person's head. Your team stays on features.

Stage one: GitHub login and a collector install.

Then your team ships features while the database stays protected.