open-telemetry/opentelemetry-go-contrib
Opentelemetry Go Contrib
This project provides a collection of extensions for the OpenTelemetry Go software development kit, serving as a toolkit for automated instrumentation, context propagation, and telemetry pipeline management. It enables the capture of traces, metrics, and logs across distributed systems by providing unified interfaces that decouple data collection from specific backend storage or analysis platforms.
The project distinguishes itself through its ability to inject telemetry collection into popular frameworks and libraries without requiring manual source code modifications. It maintains request continuity across service boundaries by injecting and extracting trace information using standardized protocols, and it enriches this data by querying local environment variables and cloud provider interfaces to attach infrastructure-specific metadata.
Beyond core instrumentation, the project includes scalable pipelines for filtering, sampling, and routing observability signals to multiple destinations. It also supports the integration of legacy monitoring tools through instrumentation bridging and ensures accurate error classification by updating span statuses during operation failures.
Features
- Instrumentation Libraries - Provides a collection of extensions for the OpenTelemetry Go SDK that enables automatic instrumentation and integration for popular frameworks and libraries.
- Distributed Trace Propagation - Injects and extracts trace information using standard protocols to maintain request continuity as data travels between different systems.
- Tracing Context Propagation - Injects and extracts trace identifiers into network request metadata to maintain a continuous execution path across distributed service boundaries.
- Handler Middlewares - Wraps standard library and third-party network handlers to intercept requests and automatically record telemetry without modifying application source code.
- Automatic Telemetry Capture - Provides unified interfaces for capturing traces, metrics, and logs across distributed systems without requiring manual source code modifications.
- Automated Instrumentation - Injects telemetry collection into popular frameworks and libraries to monitor application behavior without requiring manual source code modifications.
- Automatic Framework Instrumentation - Injects telemetry collection into popular frameworks and libraries without requiring manual source code modifications to track application behavior.
- Telemetry Signal Processors - Provides a toolkit for enriching, filtering, and routing telemetry signals to various backends to ensure consistent and high-quality monitoring data.
- Telemetry Data Pipelines - Routes telemetry signals through a series of configurable processors that filter, sample, and transform data before final export.
- Distributed Tracing - Provides components for propagating trace context and capturing telemetry data across service boundaries in distributed software systems.
- Telemetry - Provides standardized interfaces that decouple telemetry instrumentation from specific backend exporter implementations.
- Distributed Observability Platforms - Tracks requests across multiple services and network boundaries to maintain visibility into the performance of complex software architectures.
- Telemetry Processing Engines - Processes, filters, and routes telemetry data through scalable pipelines to multiple observability backends simultaneously.
- Telemetry Exporters - Transmits collected observability signals to external backends and analysis platforms for centralized monitoring and long-term storage.
- Telemetry Resource Detectors - Queries local environment variables and cloud provider APIs at startup to automatically enrich telemetry data with infrastructure-specific metadata.
- Telemetry Exporters - Serializes collected telemetry signals into standardized wire formats for delivery to remote observability backends and monitoring systems.
