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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 main features of hashicorp/go-metrics are: Instrumentation Libraries, Application Observability, Application Performance Monitoring, Metric Label Filters, Application Metrics Collection, Ingestion Label Filters, Interface-Driven Abstraction, Pluggable Input-Output Architectures.
Open-source alternatives to hashicorp/go-metrics include: rcrowley/go-metrics — This library provides a toolkit for instrumenting Go applications with performance metrics, enabling the tracking of… roadrunner-server/roadrunner — RoadRunner is a high-performance application server and process manager designed to serve PHP applications using a… metrics-rs/metrics — This project is a unified observability framework for Rust applications, designed to capture, aggregate, and report… quarkusio/quarkus — Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications.… census-instrumentation/opencensus-go — OpenCensus-go is an observability instrumentation library designed to capture and export telemetry data from… igorkasyanchuk/rails_performance — This project is a self-hosted application performance monitoring tool designed for Ruby on Rails environments. It…
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
RoadRunner is a high-performance application server and process manager designed to serve PHP applications using a persistent worker model. It eliminates bootload overhead and initialization time by keeping application processes alive between requests, acting as a protocol-agnostic proxy that routes traffic to a pool of supervised workers. The server is built with a plugin-based modular architecture, allowing it to be extended with custom Go plugins and compiled into tailored binaries. It distinguishes itself by providing a unified execution model for a wide array of communication protocols,
This project is a unified observability framework for Rust applications, designed to capture, aggregate, and report performance telemetry. It provides a comprehensive toolkit for instrumenting code to track counters, gauges, and histograms, enabling developers to monitor application health and operational performance through a standardized interface. The library distinguishes itself by decoupling instrumentation sites from specific backend implementations through a global registry and trait-based abstractions. This architecture allows developers to swap telemetry exporters at runtime without
Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program