Files
oikos/docs/adr/0002-postgres-timescale-only-datastore.md
dtoro 18cb79caf9 oikos phase 0: ontology + inventory + policy seeds, OpenAPI contract, ADRs
- seeds/ontology.yaml: 59 entity types (5 abstract, is-a hierarchy), 46
  relationship types with cardinality, 6 lifecycles with terminal states
  and named precondition checks
- seeds/inventory.yaml: 110 entities / 142 relationships translated from
  legacy inventory.yaml (fleet, services, ingress, storage, governance,
  archaeology); thin spots marked for backfill
- seeds/policy.yaml: 4 risk classes, 27 approval rules (hierarchy-aware,
  per-entity overrides), autonomy kill-switch off (cold start)
- api/openapi.yaml: full v1 REST contract (40 paths), RFC 9457 errors,
  cursor pagination, idempotency, ETag/If-Match, scopes; redocly-clean
- docs/adr/0001-0010: initial architecture decision records
- scripts/validate-seeds.py: Phase 0 gate — hierarchy, lifecycles,
  endpoints, cardinality, policy cross-refs (0 errors)
- plan: layer CHECK gains 'meta' (root type), cardinality gains
  'many-to-one'

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-07 00:17:15 +02:00

1.1 KiB

ADR 0002 — PostgreSQL + TimescaleDB as the only datastore

Status: accepted (2026-07-07) · Plan: rev 3

Context

The OS needs a graph (entities/relationships), operational tables (signals/executions/approvals), a learning corpus, time-series metrics, audit and event logs. Alternatives: dedicated graph DB (Neo4j), dedicated TSDB (Prometheus/VictoriaMetrics), or one Postgres.

Decision

One PostgreSQL 16 instance with the TimescaleDB extension (timescale/timescaledb:2-pg16). Graph traversal via recursive CTEs (cycle-safe blast_radius); time-series via hypertables + continuous aggregates + retention policies; events via table + LISTEN/NOTIFY.

Consequences

  • One backup/restore/DR story, one connection pool, transactional consistency between graph and operational writes (e.g. event emission in the same transaction as state change).
  • Postgres is the accepted SPOF — mitigated by daily pg_dump + WAL PITR + off-host copies + monthly restore drills; streaming replication is the future path if needed.
  • Homelab graph scale (hundreds of nodes) is far below where a dedicated graph DB pays for itself.