Detect high-cardinality tags in StatsD/Datadog metric calls in Ruby .rb files.
npx skills add https://github.com/dailydm/skills --skill metrics-cardinality
Please help me install this Agent Skill. Skill: metrics-cardinality Source: https://github.com/dailydm/skills/tree/main/metrics-cardinality Command: npx skills add https://github.com/dailydm/skills --skill metrics-cardinality
Prevents high-cardinality tagging in StatsD/Datadog metrics to avoid cost explosions.
Enable this rule in your codebase to automatically flag high-cardinality metric calls and propose safe, low-cardinality alternatives.
High-intent search queries and answers about installing and using this skill.
High-cardinality tags in StatsD metrics cause metric explosions when unique values like IDs or timestamps create distinct time series. Limiting tags to predefined low-cardinality values prevents this cost spike while maintaining useful instrumentation.
Detect high-cardinality tag patterns in Ruby metric instrumentation by applying a rule-based workflow that scans .rb files for risky metric calls and blocks patterns matching dynamic values like UUIDs, emails, and timestamps.
The best low-cardinality alternatives for StatsD tagging replace dynamic user IDs or emails with static attributes like environment, region, or request type, providing useful grouping dimensions without generating unbounded unique metric combinations.
Yes, this high-cardinality metric detection targets standard StatsD and Datadog integrations by scanning Ruby projects for common metric calls and applying rules to block risky tags before they reach the metrics pipeline.
High-cardinality tags cause metric explosions because each unique tag value generates a new time series. Fix them by implementing rules that reject dynamic values and enforce safe-tag recommendations for your metric instrumentation.
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