Local model lab
Instrument tokens/sec and fallback reasons
Metrics for local_share ≥ 0.8 and cloud_fallback_with_pii == 0 must distinguish bad input from component failure for legal analyst summarizing NDAs that must not leave the laptop by default.
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Golden signals for this system
Instrument Ollama-backed local router with policy-controlled cloud fallback so legal analyst summarizing NDAs that must not leave the laptop by default can answer: demand, errors, latency/age, saturation. Emit fields needed by local_share ≥ 0.8 and cloud_fallback_with_pii == 0 with bounded labels. Sample successful high-volume traces; keep errors and rollout transitions denser within policy.
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Alert path worth paging
Define at least one alert that would fire for LOCAL-FALLBACK-PII-03, with a for/pending window that survives deploy blips. Missing scrape or missing revision labels must not look like health. Include a trace/log example id format you will actually search.
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Implementation artifact
emit("route_total", backend=decision.backend, reason=decision.reason)
emit("local_tokens_per_sec", value=tps)
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Tests for telemetry
Add a unit/integration check that metrics increment on the happy path and on the fallback silently ships full NDA text to cloud when Ollama is down branch. Store machine-readable output in CI artifacts when practical.
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Stage depth
Cardinality discipline: tenant and revision are usually enough; raw question text is not a label. Exemplars or trace links beat screenshots alone when debugging LOCAL-FALLBACK-PII-03. Define who owns alert fatigue review. If you export to a vendor, record retention and access. Synthetic probes should use non-sensitive fixtures and still exercise POST http://127.0.0.1:11434/api/generate. Practice the query you will type at 2am once, while calm.
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Field notes for `local-model-lab` / `observability`
Document the exact PromQL or log query in the runbook stub for this service. Verify histograms have buckets around your SLO target. Add a canary synthetic check that exercises the oracle path every few minutes in staging. Confirm that PII redaction happens before export. Track build/version as a label on the golden signals. Delete noisy debug logs before they become accidental product dependencies. In this chapter the product is Ollama-backed local router with policy-controlled cloud fallback, the human stakeholder is legal analyst summarizing NDAs that must not leave the laptop by default, and the incident id you design against is LOCAL-FALLBACK-PII-03. Re-state the oracle in your notes — local llama3.2:3b answers fixture brief at ≥ 25 tok/s; fallback path logs reason=local_timeout — and keep the invariant visible: cloud fallback requires explicit policy flag + redaction pass; local p95 ≤ 6s for 512 tokens. Track local_share ≥ 0.8 and cloud_fallback_with_pii == 0 as the scoreboard. Surface under change control: POST http://127.0.0.1:11434/api/generate. If you only have forty minutes, finish the fixture for fallback silently ships full NDA text to cloud when Ollama is down before polishing UI. Promotion language stays ternary: promote, hold, or roll back based on evidence, not hope.
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Why this matters
Name the dashboard row or log line legal analyst summarizing NDAs that must not leave the laptop by default opens first during LOCAL-FALLBACK-PII-03. It must include a correlation id and a bounded label from local_share ≥ 0.8 and cloud_fallback_with_pii == 0. If telemetry is missing, write whether you promote, hold, or roll back — and why hold is the default.
In the wild
See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.
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