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This repository contains the specifications for a standardized observability data standard and telemetry instrumentation framework. It defines unified protocols for how telemetry data is instrumented, propagated, and formatted to ensure interoperability across distributed systems.
The main features of open-telemetry/opentelemetry-specification are: Cloud Native Observability, Unified Observability Data Models, Distributed Tracing, Tracing Context Propagation, Application Performance Monitoring, Instrumentation APIs, Vendor-Neutral Observability Interfaces, Zero-Code Instrumentation.
Open-source alternatives to open-telemetry/opentelemetry-specification include: open-telemetry/opentelemetry-dotnet — The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET… uptrace/uptrace — Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces,… open-telemetry/opentelemetry-go — OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go… openzipkin/zipkin — Zipkin is an open-source distributed tracing system designed to collect, store, and visualize timing data across… open-telemetry/opentelemetry-php — OpenTelemetry PHP is a standard-compliant observability framework designed to instrument applications for the… open-telemetry/opentelemetry-demo — This project is an OpenTelemetry reference implementation and distributed microservices environment used to…
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
Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r
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
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