Odoo Survival Guide — Sample: Why Production Odoo Breaks

Why deployments fail after go-live

Most Odoo failures are not mysterious ERP bugs. They are predictable combinations: cron jobs that overlap at peak hours, PostgreSQL queries without supporting indexes, custom write() overrides on hot models, and reporting jobs scheduled when users are active. The database is doing honest work — just the wrong work at the wrong time.

Before we tune ORM code or scale workers, we run a fifteen-minute production checklist: scheduled actions stuck in "Running," long queries in pg_stat_activity, worker memory errors in Odoo logs, attachment table growth, and mail/chatter volume on high-traffic records. Nine times out of ten, one item on that list explains the slowdown.

The full Odoo Survival Guide walks through PostgreSQL tuning for Odoo workloads, maintainable custom module patterns, data migrations without business continuity loss, and architecture toward 1,000+ concurrent users — written by engineers who ship Odoo every week.