What problem does it solve?
This Skill helps you correctly instrument applications with Prometheus metrics, write effective PromQL queries, and define robust alerting and recording rules, preventing common pitfalls and ensuring reliable monitoring.
Core Features & Use Cases
- Metric Design: Guides you on choosing the right metric types (Counter, Gauge, Histogram, Summary), naming conventions, and label strategies to avoid cardinality issues and ensure clarity.
- PromQL Mastery: Provides rules and examples for writing efficient and accurate PromQL queries, including rate calculations, aggregations, and histogram usage.
- Rule Definition: Offers best practices for creating alerting and recording rules, focusing on symptom-based alerting and correct aggregation patterns.
- Use Case: When instrumenting a new microservice, use this Skill to ensure your metrics are named correctly, use appropriate types, and that your dashboards and alerts are built on sound PromQL queries.
Quick Start
Review the Prometheus naming conventions before instrumenting a new metric.