Running AI workloads through Postgres creates failure modes that traditional database monitoring can't detect. The ORBIT framework addresses five core principles: Outbox First (never call external APIs inside open transactions), Rate State Is Shared (token buckets must be shared across connections), Background Is the Unit of Execution (decouple AI dispatch from request lifecycle), Idempotency From Day One (design for retry from the start), and Trace Everything (maintain full AI call lineage). The post details real production failure patterns including retry storms, ACID violations from external calls, connection slot exhaustion, and monitoring blind spots. Practical patterns using pg_cron, NOTIFY/LISTEN, transactional outbox tables, and state machine enums are provided as immediate solutions. The post also proposes future Postgres primitives including pg_external_call with deferred execution and shared rate buckets, pg_ai_lineage hooks, and workload shaping GUCs. Guidance is tailored for SREs, Enterprise Architects, and C-suite executives.
