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robustmq-metrics

Designs and implements minimal, high-value metrics for RobustMQ services and dashboards. Use when the user asks to add metrics, improve observability, or update Grafana panels for core processing pipelines.

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Repository
robustmq/robustmq
Letzte Quellaktivität
3. März 2026 um 16:19
Erkannte Sprache von SKILL.md
Englisch
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262

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
robustmq-metrics
description
Designs and implements minimal, high-value metrics for RobustMQ services and dashboards. Use when the user asks to add metrics, improve observability, or update Grafana panels for core processing pipelines.
# RobustMQ Metrics ## Purpose Add observability with minimal but complete coverage of a target pipeline: - process count and process duration - retry and terminal outcomes (if applicable) - key failure points in read/process/write path - liveness/health Do not over-instrument. Prefer compact metrics that support operations and debugging. ## Metric Design Rules 1. **Cover chain, not everything**: - success/failure + duration - retry/terminal path (when strategy exists) - read/commit/write failures - up/down 2. **Always include count and latency** for processing path. 3. **Label policy**: - required: stable low-cardinality dimensions only - optional only when bounded enum (for example `result`, `strategy`, `protocol`) - service/entity name labels are optional and must pass cardinality review - forbidden high-cardinality labels: `topic`, `error_message`, payload-derived labels 4. **Naming**: - use module prefix (for example `mqtt_`, `raft_`, `handler_`) - counters end with `_total` - duration histogram uses `_ms` - liveness gauge uses `_up` ## Minimal Metric Set Template Adapt this template to the target module: - `<module>_messages_processed_success_total{...}` - `<module>_messages_processed_failure_total{...}` - `<module>_process_duration_ms{...}` (histogram) - `<module>_retry_total{...,strategy}` (if retry exists) - `<module>_terminal_total{...,result}` (discard/dlq/drop etc., if applicable) - `<module>_critical_step_failure_total{...}` (read/write/commit/etc.) - `<module>_up{...}` (gauge) ## Implementation Workflow 1. **Define metrics in `src/common/metrics`** - register counters/histogram/gauge - add record helper APIs - keep API signatures consistent with chosen low-cardinality labels 2. **Insert runtime instrumentation** - add metrics at success, failure, retry, terminal, and liveness points 3. **Fix call sites impacted by signature changes** - update all metric helper users - ensure compile passes across dependent crates 4. **Validation** - run targeted `cargo check` for impacted crates - run lints for touched files ## Grafana Decision Rule After metrics are added, decide whether to update `grafana/robustmq-broker.json`: - **Update dashboard** if metrics are operationally critical and stable. - **Skip dashboard** only when user explicitly says not to update or metrics are temporary. When updating dashboard: - add/extend compact row - prioritize low-cardinality dimensions and trend panels - avoid panel explosion; 4-6 panels for first iteration ## Output Format Return: 1. Metrics added/changed (names + labels) 2. Instrumentation points (files/functions) 3. Whether Grafana was updated and why 4. Validation commands and results ## Guardrails - Do not add metrics without clear operational use. - Do not introduce high-cardinality labels. - Do not duplicate semantically equivalent metrics. - Do not break existing metric names unless migration is requested.
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