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Layer researchObservability and FinOps

Observability & FinOps

By Murali SidLinkedInPublished

Status: complete (published 2026-08-19). Scope finalized at Batch B kickoff with maintainer POV; see findings.md and sources.md.

Scope inventory (v0)

  • Telemetry: OTel GenAI spans for model, tool, and memory, session replay and trace inspection, stable workload IDs
  • Quality in production: groundedness drift monitoring, sampled in-production evals, SLOs (latency, success rate, containment), runaway-loop anomaly detection, alerting and paging
  • Cost: token accounting, per-task and per-outcome unit economics, showback and chargeback, budget caps and alerts, cache effectiveness, capacity forecasting
  • Two-estate visibility: pulling telemetry and audit out of licensed platforms into one view; value metrics (time saved, containment, throughput) proving ROI; supervisor dashboards (the factory-floor view)

Challenged-default candidates

LLM observability products vs OTel-native extension of existing APM; per-agent cost dashboards vs per-outcome unit economics. Each track proposes its final list at kickoff.

Files

findings.md and sources.md carry this track's research. The scoping brief and the vendor map were archived on 2026-08-23 (see archive/, decision D038).

Cite this page

Written by Murali Sid, Founder and AI Systems Architect, last updated 18 September 2026. Licensed CC BY-SA 4.0, so quote it freely with attribution.

Murali Sid (2026). Observability & FinOps. Agentic Architecture Skills. https://www.agenticarchitectureskills.com/library/layers/r12-observability-and-finops

Machine-readable version of this page: /library/layers/r12-observability-and-finops.md

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