Metrics, logs & alerts · Improve
Improve Observability Stack
Correct the selected signal from instrumentation through storage, query, dashboard or alert interpretation.
MCP library 1.6.1 · Instruction library 1.6.1 · English technical instructions
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Goal
Correct the selected signal from instrumentation through storage, query, dashboard or alert interpretation.
Domain rules
- Change instrumentation and consuming rules/dashboards/alerts together when a metric or log contract changes.
- Prefer bounded stable dimensions and pre-aggregation over dropping useful semantics after cardinality has already exploded.
- Make alert states and operator action explicit; add rate limits/grouping/silences without masking persistent symptoms.
- Provision dashboards/alerts declaratively where the repository already owns them and preserve stable UIDs/references.
- Redact at collection boundaries and configure tenant/retention/query limits at the authoritative storage or gateway layer.
Validation
- Run repository rule tests, metric linting, dashboard/provisioning validation, and representative VictoriaLogs ingest/query fixtures where available.
- Measure series/stream growth and query cost under representative dimensions; report estimates separately from observed production data.
- Trigger and recover a representative alert, including no-data and dependency-loss behavior, and verify owner/runbook annotations.
Correct the emitter/extraction, aggregation, rule or provisioned resource owner and update its direct consumers. Replay a fixed signal series/log corpus with known units and events; compare actual queried values and alert transitions before and after the candidate. Feed evidence and dimension/resource bounds to the semantics/cost check. Recheck failed observations at their owner, then run Patch Checking without claiming unmeasured production cardinality or sending an unapproved real page.
Workflow ID: observability-stack-polish · View the versioned source · Shared workflow and authority rules