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OpenTelemetry Go API and SDK
Official Go implementation of the OpenTelemetry API and SDK, providing a vendor-neutral way to instrument, generate, collect, and export telemetry data for Go applications and services.
Go
Added on 2025年6月26日5,777
Stars1,178
ForksGo
LanguageProject Introduction
Summary
This project offers the comprehensive OpenTelemetry API and SDK implementation for the Go programming language, allowing developers to easily instrument their applications to produce high-quality telemetry signals (traces, metrics, logs).
Problem Solved
Provides a standardized, vendor-agnostic set of tools for instrumenting Go applications, addressing the complexity and vendor lock-in associated with collecting telemetry data in modern cloud-native and microservice architectures.
Core Features
Distributed Tracing API & SDK
Libraries for adding distributed tracing to Go applications, enabling visualization of request paths across services.
Metrics API & SDK
API and SDK components for recording, aggregating, and exporting metrics from Go applications.
Context Propagation
Mechanisms to propagate trace context across process and network boundaries.
Exporter Implementations
Support for exporting telemetry data to various backends like OTLP, Jaeger, Prometheus, etc.
Tech Stack
Go (Golang)
使用场景
Applicable to any Go application or service, from monoliths to microservices, requiring robust and portable observability capabilities.
场景一：微服务链路追踪
Details
Instrumenting microservices written in Go to capture request traces that span across multiple services, helping to visualize and debug distributed transactions.
User Value
Gain end-to-end visibility into requests flowing through a microservice architecture, quickly identifying latency hotspots and failure points.
场景二：应用性能监控
Details
Adding metrics collection to Go applications to monitor performance indicators like request duration, error rates, and resource utilization.
User Value
Understand the health and performance characteristics of Go services in real-time, enabling proactive issue detection and capacity planning.
场景三：日志关联与分析
Details
Enriching application logs with trace and span IDs, allowing logs to be correlated with specific requests or operations for easier debugging.
User Value
Improve the debuggability of production issues by linking log messages directly to the specific trace and span context in which they occurred.
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