census-instrumentation/opencensus-goArchived
Opencensus Go
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 backends. It also employs a measure-view aggregation model to record performance data points with minimal runtime overhead, ensuring that system visibility does not compromise application performance.
The library provides comprehensive instrumentation capabilities, including the ability to record performance metrics for web requests and remote procedure calls. It supports contextual metadata propagation and tagging, which allows for the consistent tracking of request-specific attributes across process boundaries. Additionally, the framework facilitates runtime profiling and internal health monitoring, providing visibility into resource usage and system behavior.
Features
- Application Performance Monitoring - Provides a framework for tracking system health and latency by recording performance data and request spans within distributed environments.
- Distributed Request Tracing - Tracks the progression of requests across multiple services to visualize complex system operations.
- Custom Span Recorders - Records request progression across services by capturing hierarchical timing segments as spans.
- Pluggable Storage Drivers - Decouples data collection from storage using modular drivers to transmit telemetry to various backends.
- Distributed Tracing - Records the progression of requests across multiple services by capturing hierarchical timing segments and metadata.
- Application Performance Monitoring - Records and aggregates performance metrics to track system behavior and health.
- Distributed Request Tracking - Tracks the full lifecycle and hierarchy of network requests across multiple services to identify latency bottlenecks.
- Instrumentation Libraries - Instruments application code to capture telemetry data for deeper system visibility.
- Observability Data Exporters - Transmits captured metrics and trace data to external monitoring and analysis platforms.
- Performance Metric Aggregators - Records performance data points by defining specific metrics and aggregation views to track system behavior with minimal runtime overhead.
- Remote Procedure Calls - Records performance metrics and trace spans for remote procedure calls to identify bottlenecks.
- Contextual Metadata Propagation - Propagates request-scoped metadata and trace identifiers across service boundaries to maintain consistent execution context.
- Metadata Propagation - Provides mechanisms for transmitting contextual key-value pairs across service calls to maintain consistent request metadata.
- Runtime Health Monitors - Gathers internal runtime metrics like memory usage and garbage collection cycles to monitor system health.
- Telemetry Exporters - Pushes internal performance metrics and logs to third-party observability platforms using pluggable interfaces.
- Request Traffic Monitors - Integrates with web frameworks to capture telemetry from incoming and outgoing traffic.
- Application Performance Profiling - Provides capabilities for identifying performance bottlenecks and measuring execution time within applications.
- Request Middleware - Hooks into web frameworks and database drivers to automatically capture telemetry data from service requests.
Star history
How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
