Forward-deployed / AI Knowledge Graph
Flowable

Phase 09 — Operations & observability

Running it for real: history levels, the database, async executor tuning, metrics, and the admin surface.

# Lesson Type Lang Ships
01 The history tables: audit trail vs runtime state ✅ Concept — cheat sheet
02 History levels & data growth: the retention decision ✅ Concept — decision guide
03 Async executor tuning: threads, acquisition, lock times ✅ Use Java settings
04 Metrics & health: what to alert on ✅ Use Python dashboard spec
05 The database is the engine: sizing, indexes, cleanup jobs ✅ Concept — runbook

Prerequisites: Phase 2. Full plan: ROADMAP.md.