Projects sharing features with Micrometer

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

This project is a structured tracing framework for Rust that serves as an async-aware instrumentation library and telemetry data collector. It provides a structured logging facade and the tools necessary to record, filter, and route event-based diagnostic data from both standard applications and embedded systems. The framework distinguishes itself through a core implementation that supports bare-metal and no-standard-library environments without requiring a dynamic memory allocator. It specifically handles the complexities of asynchronous workflows by propagating diagnostic contexts across fu

Pinpoint is a distributed application performance monitoring and tracing system. It functions as an application performance monitor and topology visualizer designed to analyze the execution behavior of large-scale distributed applications. The system uses bytecode instrumentation to monitor applications without requiring changes to the original source code. It captures call stacks and request flows across interconnected services to visualize system dependencies and generate real-time architectural maps of communication patterns. The platform covers a broad range of observability capabilities

Easy Profiler is a performance profiling library for C++ applications designed to measure execution duration and identify bottlenecks. It provides a framework for instrumenting code blocks to track performance metrics, allowing for the analysis of thread activity and system behavior through detailed timeline visualization. The library distinguishes itself by utilizing scope-based instrumentation to automatically track code lifecycles, minimizing manual overhead. It employs thread-local buffering and asynchronous data flushing to reduce synchronization contention, ensuring that performance dat

Signale is a formatted console logging library for Node.js applications. It serves as a pluggable logging framework and stream-based log router that allows users to record system events using customizable levels, colors, and output styles. The project distinguishes itself as an interactive console logger capable of overwriting previous messages to reduce terminal clutter during long-running tasks. It also functions as an application performance monitor, providing tools to measure and track execution time between specific code points to identify performance bottlenecks. The library covers a b

StatsD is a metrics aggregator and UDP collection server that collects system counters and timers. It functions as a time-series data forwarder, receiving high-frequency metric updates via a lightweight line protocol and summarizing them before flushing the data to a backend. The project features a pluggable metrics backend framework, allowing aggregated statistics to be routed to various third-party monitoring services or time-series databases such as Graphite. It supports horizontal scaling and high availability through a proxy ring distribution system that forwards incoming packets across

Zipkin is an open-source distributed tracing system designed to collect, store, and visualize timing data across complex service architectures. It provides a platform for monitoring request lifecycles, enabling developers to identify latency bottlenecks and performance issues by tracking operations as they move through heterogeneous service environments. The system distinguishes itself through a standardized data model and a pluggable storage architecture that supports various backend databases. It utilizes sampling strategies to manage telemetry volume and employs asynchronous collection met

The OpenTelemetry Collector is a vendor-agnostic proxy and observability data pipeline that receives, processes, and exports traces, metrics, and logs. It functions as a telemetry ingestion gateway and multi-backend monitoring agent, translating various data formats into a standardized internal representation for consistent processing. The project distinguishes itself through a plugin-based component model, allowing the integration of custom receivers, processors, and exporters without modifying the core codebase. It utilizes a configurable pipeline system where telemetry flows through a sequ

mcp-agent is a framework for building AI agents that integrate with Model Context Protocol servers to execute tools and access data. It functions as a multi-agent orchestrator and protocol-compliant server, enabling the creation of agents that can discover and invoke tools from connected external servers. The project distinguishes itself through a durable workflow engine that supports long-running tasks capable of pausing, resuming, and surviving restarts. It implements complex orchestration patterns, including iterative evaluator-optimizer loops, hierarchical workflow nesting, and specialist

Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network

SkyWalking is an application performance monitoring system and observability platform designed to collect and analyze metrics, traces, and logs from distributed microservices. It functions as a distributed tracing platform and a telemetry data pipeline that ingests and aggregates observability data from various language agents. The project features an AI-powered anomaly detector that uses machine learning to calculate metric baselines and identify irregular URI patterns. It includes an eBPF performance profiler for diagnosing CPU and network bottlenecks at the kernel level and generates inter

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

Cat is a distributed application performance monitoring tool and tracing framework designed to track transactions, latency, and health across distributed services. It functions as a Kubernetes-native monitoring stack that utilizes multi-language monitoring clients and a real-time alerting system to maintain system visibility. The system provides monitoring clients for Java, Go, Python, Node.js, and C++ to collect performance metrics and trace data. It distinguishes itself by sampling request flows to record call chains and identify bottlenecks, while using a monitoring engine to trigger immed

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

DeepOps is a full-stack observability platform and application performance monitoring tool. It serves as a distributed service observability suite designed to track response times, resource usage, and service health across diverse infrastructure layers. The platform functions as a cross-stack telemetry aggregator, unifying metrics and logs into a single data stream. It incorporates a heuristic anomaly detection system that analyzes performance baselines to identify statistical outliers and predict operational failures. The system covers a broad range of monitoring capabilities, including rea

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

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

This project is a JavaScript error tracking SDK and application performance monitoring tool. It captures runtime exceptions and crashes across web browsers, server-side environments, and edge computing contexts. The SDK includes a session replay tool that records visual user interactions to reproduce bugs. To ensure telemetry delivery, it provides a tunneling proxy that routes monitoring data through custom endpoints to bypass browser-level ad blockers. The toolkit also features a source map processor that translates minified stack traces back into original source code. Additionally, it cove

ToolsOfTheTrade is a comprehensive, curated directory designed to help developers and operational teams discover software services for a wide range of technical and business requirements. It functions as a centralized resource catalog, indexing tools that support the entire software development lifecycle, infrastructure management, and organizational productivity. The project distinguishes itself by providing a structured index of both hosted and self-hosted solutions, enabling users to identify specific utilities for tasks ranging from continuous integration and project planning to applicati

Pyroscope is a continuous profiling platform designed to collect, store, and visualize application performance data. It functions as an application performance management suite that tracks historical resource usage to identify bottlenecks and detect performance regressions over time. The platform distinguishes itself through its use of kernel-level instrumentation and dynamic runtime hooks, which allow for performance monitoring without requiring manual code modifications or application restarts. It employs a sidecar agent architecture to offload telemetry processing, utilizing delta-encoded

This project is a comprehensive software observability suite and application performance monitoring platform designed to track runtime errors, performance bottlenecks, and system health. It functions as a centralized diagnostic service that aggregates and categorizes exceptions, providing the infrastructure necessary to visualize complex execution paths across distributed systems and microservices. The platform distinguishes itself through a high-throughput distributed event ingestion pipeline and a columnar storage analytics engine that enables rapid aggregation of large-scale performance me

SigNoz is a full-stack observability platform designed to collect, store, and visualize metrics, logs, and distributed traces in a unified environment. It leverages OpenTelemetry-based data collection to ingest telemetry from diverse sources using vendor-neutral protocols, ensuring interoperability across complex microservices architectures. The platform utilizes a high-performance columnar storage engine to enable rapid aggregation and filtering, providing a centralized backend for monitoring application health and performance. What distinguishes the platform is its focus on automated instru

SkyWalking is a comprehensive observability stack and application performance monitoring platform. It functions as a distributed tracing system and an AI application monitor, providing a centralized suite for collecting and analyzing logs, metrics, and traces to maintain the health of containerized architectures. The platform distinguishes itself through a service topology visualizer that renders interactive maps of infrastructure dependencies and communication patterns. It also includes specialized capabilities for generative AI workflow observation to track the execution flow and performanc

LibreNMS is an SNMP network monitoring system and IT infrastructure management suite. It serves as an automated network discovery tool and infrastructure dashboard, enabling the identification and monitoring of network hardware and operating systems. The system differentiates itself through a rule-based alerting engine and a comprehensive IT incident workflow integration. It supports complex alert routing, including escalation sequences and direct ticket generation for project management and service desk platforms. Its observability capabilities cover multi-vendor hardware oversight, applica

OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go applications. It provides a standardized telemetry instrumentation API for adding observability markers to code and a corresponding SDK for processing and emitting these signals. The project utilizes a configurable observability pipeline to sample and export telemetry data to external backends using the OTLP wire protocol. It features a pluggable export system and a separation between the public API and the SDK implementation, allowing telemetry to be routed to third-party platforms wit

OpenTelemetry PHP is a standard-compliant observability framework designed to instrument applications for the collection and export of telemetry data. It provides a comprehensive suite of tools for capturing traces, metrics, and logs, enabling developers to monitor operational behavior and system performance in real time. The project distinguishes itself through an interface-driven plugin architecture that allows for the modular configuration of exporters, processors, and samplers. To maintain performance in production environments, it supports the use of native binary extensions for data ser

Dropwizard is a Java web application stack and REST framework used to build production-ready web services. It integrates an embedded HTTP server with operational tools to provide a complete environment for developing network interfaces that exchange JSON data. The project provides a set of core technology stacks for relational data mapping, schema migration, and operational performance monitoring. It includes a relational database migration tool to track schema updates and execute versioned scripts before an application starts. The framework covers a broad capability surface including reques