Announcement
OpenTelemetry Go Auto-Instrumentation with eBPF
An OpenTelemetry Go instrumentation library leveraging eBPF for automatic tracing and metrics collection without requiring manual code changes.
Project Introduction
Summary
This project provides automatic instrumentation for Go applications using eBPF (extended Berkeley Packet Filter). It enables users to gather telemetry data such as traces and metrics from their Go programs with minimal or no code changes, enhancing observability efforts significantly.
Problem Solved
Traditional application instrumentation requires developers to manually add SDK calls throughout their code, which can be time-consuming, error-prone, and difficult to maintain, especially in large or legacy codebases. This project uses eBPF to collect observability data from the kernel level, bypassing the need for source code modification.
Core Features
Automatic Runtime Instrumentation
Automatically instruments common Go libraries and frameworks (e.g., HTTP, gRPC) at runtime using eBPF probes.
OTel Data Generation
Generates OpenTelemetry traces and metrics directly from captured eBPF events.
Minimal Code Change
Significantly reduces or eliminates the need for manual code instrumentation for basic observability.
OpenTelemetry Integration
Designed to integrate seamlessly with the OpenTelemetry Collector for data export and processing.
Tech Stack
Use Cases
Leveraging eBPF, this project is suitable for scenarios where deep, low-overhead observability is required without altering application source code. Typical use cases include:
Production Observability Deployment
Details
Quickly add tracing and metrics to production Go microservices or monolithic applications without requiring code deploys or restarts (depending on the eBPF attach mode).
User Value
Gain immediate insights into live application behavior with minimal operational overhead.
Performance Profiling of Existing Applications
Details
Analyze performance bottlenecks and execution paths in Go applications where source code modification is difficult or undesirable (e.g., third-party libraries, legacy code).
User Value
Diagnose performance issues more effectively without touching the codebase.
Standardizing Observability in Large Codebases
Details
Establish a standardized observability baseline across numerous Go services or modules within a large organization without burdening individual teams with manual instrumentation tasks.
User Value
Ensure consistent telemetry data collection across the organization with centralized control.
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