docs(nimbus): add telemetry discovery, querying, and config walkthrough guides#819
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jaredlockhart wants to merge 4 commits intomainfrom
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docs(nimbus): add telemetry discovery, querying, and config walkthrough guides#819jaredlockhart wants to merge 4 commits intomainfrom
jaredlockhart wants to merge 4 commits intomainfrom
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…gh guides Because * Experiment owners need practical guidance on finding product telemetry in BigQuery but current docs only cover Nimbus lifecycle events * No query examples exist for Jetstream results tables or raw telemetry * The Jetstream configuration reference covers syntax but lacks real-world walkthroughs showing graduated examples This commit * Adds "Finding Telemetry in BigQuery" guide covering the pipeline from metrics.yaml to BQ tables, column naming, and a five-step discovery workflow * Adds "Querying Experiment Data in BigQuery" with SQL patterns for both Jetstream results tables and raw telemetry filtered by experiment * Adds "Configuration Walkthrough" with five graduated examples from minimal config to custom metrics, segments, and exposure signals * Adds cross-reference tip boxes to telemetry.md and data-products.md * Adds results table schema to data-products.md * Updates sidebar navigation with all three new docs Fixes #818
…overy Because * "*(omitted)*" in the routing table looked like redacted sensitive data This commit * Changes wording to "Not specified (default)" for clarity
…isting doc Because * The new configuration-walkthrough.md largely duplicated content already in configuration.md This commit * Removes configuration-walkthrough.md and its sidebar entry * Adds common select_expression patterns (binary/count/sum) and a cross-link to the telemetry discovery guide to configuration.md
Because
* Troubleshooting docs listed error categories but not the specific
exception types users see in logs, making triage guesswork
* Monitoring table schemas in data-products.md were incomplete, missing
columns critical for debugging (experiment_slug, error_reason, metric)
* Overview docs did not explain which experiments Jetstream analyzes or
the 90-day cutoff, surprising experiment owners
* The enrollment_status event (a richer enrollment debugging signal) was
completely absent from telemetry docs
* experiments_column_type and enrollment_period resolution priority were
undocumented in the configuration reference
This commit
* Adds common exception types table to troubleshooting.md with meanings
and recommended actions
* Completes monitoring table schemas in data-products.md (logs, query_cost,
experimenter_experiments_v1)
* Adds experiment selection rules section to overview.md
* Adds enrollment_status event documentation with query example to
telemetry.md
* Documents experiments_column_type values ("native" vs "none") and
enrollment_period resolution priority in configuration.md
* Adds preenrollment period names to querying-experiment-data.md
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Because
in BigQuery but current docs only cover Nimbus lifecycle events
walkthroughs showing graduated examples
This commit
metrics.yaml to BQ tables, column naming formula, events routing, and a
five-step discovery workflow
Jetstream results tables and raw telemetry filtered by experiment enrollment
config, pre-defined metrics, custom metrics with data sources, segments,
and custom exposure signals
Fixes #818