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
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
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 specification provides a vendor-neutral approach to observability, allowing telemetry data to be exported to various backends without locking into a single provider or requiring changes to application source code. It establishes a consistent protocol for capturing request flows across service boundaries to corre
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 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.
open-telemetry/opentelemetry-php की मुख्य विशेषताएं हैं: PHP Instrumentation Toolkits, Distributed Tracing, Tracing Context Propagation, Runtime Instrumentation, Instrumentation Libraries, Application Observability, Application Performance Monitoring, Distributed Tracing Systems।
open-telemetry/opentelemetry-php के ओपन-सोर्स विकल्पों में शामिल हैं: openzipkin/zipkin — Zipkin is an open-source distributed tracing system designed to collect, store, and visualize timing data across… open-telemetry/opentelemetry-go — OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go… open-telemetry/opentelemetry-specification — This repository contains the specifications for a standardized observability data standard and telemetry… uptrace/uptrace — Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces,… quarkusio/quarkus — Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications.… open-telemetry/opentelemetry-dotnet — The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET…