Page 6 of 8~112 min topic

LLM tracing lab

Add observability and tests

Metrics for trace_completeness ≥ 0.99 and p95_end_to_end_ms ≤ 2500 must distinguish bad input from component failure for on-call engineer debugging a slow groundedness miss.

~14 min this pageObservability

1Learn the idea

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Golden signals for this system

Instrument OpenTelemetry traces across retrieve → rerank → generate for support answers so on-call engineer debugging a slow groundedness miss can answer: demand, errors, latency/age, saturation. Emit fields needed by trace_completeness ≥ 0.99 and p95_end_to_end_ms ≤ 2500 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 TRACE-ORPHAN-441, 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

root.set_attribute("answer.grounded", bool(citation))
root.set_attribute("latency_ms", int((t1 - t0) * 1000))

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Tests for telemetry

Add a unit/integration check that metrics increment on the happy path and on the missing parent context → orphan spans, cannot join retrieve to answer 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 TRACE-ORPHAN-441. 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 /v1/support/answer. Practice the query you will type at 2am once, while calm.

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Field notes for `llm-tracing-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 OpenTelemetry traces across retrieve → rerank → generate for support answers, the human stakeholder is on-call engineer debugging a slow groundedness miss, and the incident id you design against is TRACE-ORPHAN-441. Re-state the oracle in your notes — fixture question produces 3 child spans; total latency attributes sum within 5% of root — and keep the invariant visible: every span carries trace_id + redacted attrs; prompts sampled ≤ 1%. Track trace_completeness ≥ 0.99 and p95_end_to_end_ms ≤ 2500 as the scoreboard. Surface under change control: POST /v1/support/answer. If you only have forty minutes, finish the fixture for missing parent context → orphan spans, cannot join retrieve to answer before polishing UI. Promotion language stays ternary: promote, hold, or roll back based on evidence, not hope.

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Before you start

Why this matters

Name the dashboard row or log line on-call engineer debugging a slow groundedness miss opens first during TRACE-ORPHAN-441. It must include a correlation id and a bounded label from trace_completeness ≥ 0.99 and p95_end_to_end_ms ≤ 2500. 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.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. Can you jump from alert to TRACE-ORPHAN-441-class evidence?
2. Do labels stay low-cardinality?
3. Is missing telemetry treated as hold?

All responses are required.