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rcrowley avatar

rcrowley/go-metricsArchived

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Go Metrics

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.

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Features

  • Application Performance Monitoring - Provides a framework for managing metric registries and exporting diagnostic data for system health analysis.
  • Application Metric Tracking - Records performance data including counters, gauges, and timers to quantify application behavior and resource usage.
  • Instrumentation Libraries - Provides tools for recording counters, gauges, and timers to quantify application behavior.
  • Metric Exporters - Background worker routines trigger at fixed intervals to serialize and transmit accumulated performance data to external monitoring systems.
  • Metric Registries - Provides a central thread-safe container to manage the lifecycle and lookup of performance instruments.
  • In-Memory State Snapshots - Captures point-in-time snapshots of metric values to ensure consistent reporting without blocking application execution.
  • Atomic Counters - Provides high-performance counters using atomic operations to track event frequencies without mutex overhead.
  • Go Libraries - Implements performance monitoring primitives in Go for thread-safe data collection and reporting.
  • Distributed Metric Collection - Facilitates the export of performance data to centralized monitoring services for distributed analysis.
  • Periodic Metric Polling - Periodically transmits collected performance data to external logging services to maintain visibility over time.
  • Observability Metrics Exporters - Transmits gathered performance data to centralized monitoring services to facilitate detailed analysis.
3,466 stars·492 forks·Go·14 views

Star history

Star history chart for rcrowley/go-metricsStar history chart for rcrowley/go-metrics

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

Frequently asked questions

What does rcrowley/go-metrics do?

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.

What are the main features of rcrowley/go-metrics?

The main features of rcrowley/go-metrics are: Application Performance Monitoring, Application Metric Tracking, Instrumentation Libraries, Metric Exporters, Metric Registries, In-Memory State Snapshots, Atomic Counters, Go Libraries.

Which projects share features with rcrowley/go-metrics?

Projects with overlapping indexed features include: hashicorp/go-metrics — This library provides a toolkit for instrumenting Go applications to track performance data, including counters,… prometheus/client_python — This is a Prometheus Python client library used for instrumenting Python applications. It provides the tools necessary… open-telemetry/opentelemetry-dotnet — The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET… census-instrumentation/opencensus-go — OpenCensus-go is an observability instrumentation library designed to capture and export telemetry data from… open-telemetry/opentelemetry-go — OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go… prometheus/client_golang — Prometheus client_golang is the official Go client library for instrumenting applications with Prometheus metrics. It…

Projects sharing features with Go Metrics

These projects share indexed features with Go Metrics. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • hashicorp/go-metricshashicorp avatar

    hashicorp/go-metrics

    1,574View on GitHub↗

    This library provides a toolkit for instrumenting Go applications to track performance data, including counters, gauges, and timers. It serves as a centralized facility for collecting, storing, and exporting runtime metrics to external monitoring and telemetry platforms. The project distinguishes itself through a pluggable architecture that decouples application instrumentation from specific output formats. It manages metric data through a registry that supports concurrent updates and provides granular control over data volume by filtering metric labels before transmission. To support operati

    Go
    View on GitHub↗1,574
  • prometheus/client_pythonprometheus avatar

    prometheus/client_python

    4,333View on GitHub↗

    This is a Prometheus Python client library used for instrumenting Python applications. It provides the tools necessary to record counters, gauges, and histograms within a process to monitor application health and expose that data as a Prometheus exposition format provider. The library enables cloud native observability by allowing developers to define custom telemetry and track internal application events. It transforms internal application data into a standardized text format required by Prometheus scrapers for collection. The project covers a variety of monitoring and observability capabil

    Pythoninstrumentationmetricsprometheus
    View on GitHub↗4,333
  • census-instrumentation/opencensus-gocensus-instrumentation avatar

    census-instrumentation/opencensus-go

    2,042View on GitHub↗

    OpenCensus-go is an observability instrumentation library designed to capture and export telemetry data from distributed systems. It functions as a framework for application performance monitoring and distributed request tracing, allowing developers to track system health, latency, and the progression of requests across service boundaries. The project distinguishes itself through a modular architecture that decouples data collection from storage. By utilizing a pluggable exporter interface, it enables the transmission of metrics and trace data to a variety of external monitoring and analysis

    Goclouddistributed-tracinggo
    View on GitHub↗2,042
  • open-telemetry/opentelemetry-dotnetopen-telemetry avatar

    open-telemetry/opentelemetry-dotnet

    3,666View on GitHub↗

    The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET applications. It functions as an application performance monitoring tool and a distributed tracing implementation, providing the necessary infrastructure to capture system metrics and request paths across microservices. The project includes a zero-code instrumentation library that automatically captures telemetry from popular .NET frameworks without requiring manual changes to source code. It uses a provider-based API abstraction to decouple instrumentation from specific backend im

    C#asp-netasp-net-coredistributed-tracing
    View on GitHub↗3,666
Compare all 30 related projects→

Curated searches featuring Go Metrics

Hand-picked collections where Go Metrics appears.
  • Go Metrics Libraries