Validates Prometheus metrics implementation in Go applications to ensure optimal observability and performance.
This skill provides comprehensive code review guidance for developers implementing Prometheus instrumentation in Go. It helps identify common pitfalls such as high-cardinality labels that can degrade monitoring system performance, incorrect metric type selection, and improper registration patterns that lead to panics. By applying these industry-standard best practices and checklists, developers can ensure their Go services provide accurate, performant, and reliable telemetry data through the official prometheus/client_golang library.
Key Features
0114 GitHub stars
02Checks for correct /metrics endpoint exposure and collector thread-safety
03Validates metric type selection including Counter, Gauge, and Histogram
04Enforces Prometheus naming conventions and required unit suffixes
05Identifies improper per-request metric registration that causes panics
06Detects high-cardinality label anti-patterns like user IDs or request paths
Use Cases
01Debugging high memory usage or series explosion in Prometheus scrapers
02Refactoring legacy monitoring code to follow modern observability patterns
03Performing automated code reviews on new Go service instrumentation
