Detect, explain, and prioritize operational anomalies.

Watchtower combines telemetry with business understanding — so alerts arrive explained, ranked by impact, and routed to the right people.

see it catch one ↓

01 — before the pager

Not just what drifted. Why, and who cares.

Thresholds page you about symptoms. Watchtower learns normal from Lore, then explains drift in the language of your business.

01 detect — learned baselines, not static thresholds
02 explain — correlated with deploys, configs, upstream drift
03 prioritize — ranked by customer and revenue impact

error_rate · payments-api watching · baseline learned

▲ error_rate +214% on payments-api — correlates with deploy a3f91c (Δ 5m, conf 0.94). Business impact: card authorizations failing for 3 enterprise tenants · approvals −18%. routed → #payments-oncall · 02:14

02 — what it watches

The drift that matters.

01 Latency spikes p99 · traces · upstream deps

02 Error increases rates · new signatures · blast radius

03 Workflow degradation funnels · queues · completion rates

03 — powered by lore

Same graph as every other surface.

Watchtower knows what "normal" means because Lore knows how your systems, customers, and workflows fit together.

one graph in, four surfaces out — alfred · lucius · newspaper

Catch the next one early.

30 minutes · your data, your cloud

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