# rcrowley/go-metrics

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3,466 stars · 492 forks · Go · NOASSERTION · archived

## Links

- GitHub: https://github.com/rcrowley/go-metrics
- awesome-repositories: https://awesome-repositories.com/repository/rcrowley-go-metrics.md

## Description

This library provides a toolkit for instrumenting Go applications with performance metrics, enabling the tracking of counters, gauges, and timers. It serves as a foundational framework for recording application behavior and resource usage, offering thread-safe primitives to manage the lifecycle of these instruments within a central registry.

The system distinguishes itself through a high-performance design that utilizes atomic operations to track event frequencies, avoiding the overhead of mutex locks during execution. It employs snapshot-based sampling to capture point-in-time data, ensuring that reporting processes do not block the main application flow.

Beyond core instrumentation, the library supports comprehensive observability by facilitating the periodic export of accumulated data to external monitoring services and logging platforms. These capabilities allow for the automated verification of system health and the centralized analysis of performance metrics across distributed environments.

## Tags

### System Administration & Monitoring

- [Application Performance Monitoring](https://awesome-repositories.com/f/system-administration-monitoring/application-performance-monitoring.md) — Provides a framework for managing metric registries and exporting diagnostic data for system health analysis.
- [Application Metric Tracking](https://awesome-repositories.com/f/system-administration-monitoring/application-metric-tracking.md) — Records performance data including counters, gauges, and timers to quantify application behavior and resource usage. ([source](https://github.com/rcrowley/go-metrics#readme))
- [Instrumentation Libraries](https://awesome-repositories.com/f/system-administration-monitoring/instrumentation-libraries.md) — Provides tools for recording counters, gauges, and timers to quantify application behavior.
- [Metric Exporters](https://awesome-repositories.com/f/system-administration-monitoring/metric-exporters.md) — Background worker routines trigger at fixed intervals to serialize and transmit accumulated performance data to external monitoring systems.
- [Metric Registries](https://awesome-repositories.com/f/system-administration-monitoring/monitoring-and-observability/observability-platforms/metric-performance-monitors/virtual-thread-monitors/thread-safe-metric-counters/metric-registries.md) — Provides a central thread-safe container to manage the lifecycle and lookup of performance instruments.
- [Distributed Metric Collection](https://awesome-repositories.com/f/system-administration-monitoring/distributed-metric-collection.md) — Facilitates the export of performance data to centralized monitoring services for distributed analysis.
- [Periodic Metric Polling](https://awesome-repositories.com/f/system-administration-monitoring/periodic-metric-polling.md) — Periodically transmits collected performance data to external logging services to maintain visibility over time. ([source](https://github.com/rcrowley/go-metrics#readme))
- [Observability Metrics Exporters](https://awesome-repositories.com/f/system-administration-monitoring/prometheus-exporters/prometheus-based-metric-exporters/observability-metrics-exporters.md) — Transmits gathered performance data to centralized monitoring services to facilitate detailed analysis. ([source](https://github.com/rcrowley/go-metrics#readme))

### Data & Databases

- [In-Memory State Snapshots](https://awesome-repositories.com/f/data-databases/consistency-tuning/point-in-time-snapshots/in-memory-state-snapshots.md) — Captures point-in-time snapshots of metric values to ensure consistent reporting without blocking application execution.

### Development Tools & Productivity

- [Atomic Counters](https://awesome-repositories.com/f/development-tools-productivity/change-tracking/state-tracking-utilities/sequential-counters/atomic-counters.md) — Provides high-performance counters using atomic operations to track event frequencies without mutex overhead.

### Programming Languages & Runtimes

- [Go Libraries](https://awesome-repositories.com/f/programming-languages-runtimes/go-libraries.md) — Implements performance monitoring primitives in Go for thread-safe data collection and reporting.