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OpenTelemetry Collector - Unified Telemetry Data Processing and Export
A vendor-agnostic service for receiving, processing, and exporting telemetry data such as traces, metrics, and logs. It eliminates the need to run, operate, and maintain multiple agents/collectors.
Go
Added on 2025年7月4日5,352
Stars1,673
ForksGo
LanguageProject Introduction
Summary
The OpenTelemetry Collector is a core component of the OpenTelemetry ecosystem, offering a robust and highly configurable way to collect, process, and export telemetry data. It acts as a central hub for observability signals, enabling seamless integration across heterogeneous environments and vendor solutions.
Problem Solved
Observability pipelines often require multiple agents and custom integrations to collect, process, and route telemetry data from diverse sources to various backends. The OpenTelemetry Collector provides a single, unified solution to consolidate this process, reducing complexity and operational overhead.
Core Features
Flexible Receivers
Supports a wide range of receivers (e.g., OTLP, Jaeger, Prometheus, Zipkin, Kafka) to ingest telemetry data from various sources.
Powerful Processors
Provides numerous processors (e.g., batching, filtering, sampling, attribute manipulation) to transform and enhance data before export.
Multiple Exporters
Allows exporting processed telemetry data to multiple backends (e.g., OTLP, Jaeger, Prometheus, Kafka, logging systems) simultaneously.
Configurable Pipelines
Enables defining data pipelines to route, process, and export data streams based on specific needs and configurations.
Tech Stack
Go
gRPC
Protocol Buffers
YAML (Configuration)
Use Cases
The OpenTelemetry Collector is versatile and can be deployed in various scenarios to address common telemetry challenges:
Scenario 1: Host/Agent Based Collection
Details
Deploy the Collector as an agent on hosts/VMs or as a sidecar/daemonset in Kubernetes to collect data (logs, metrics, traces) locally from applications and infrastructure.
User Value
Centralizes local data collection, reduces resource usage compared to running multiple agents.
Scenario 2: Gateway/Central Processing
Details
Run the Collector as a gateway or central service to receive data from multiple agents or applications, perform aggregation, filtering, and fan-out to multiple monitoring backends.
User Value
Enables centralized processing, data reduction, and simplified routing to different teams or systems.
Scenario 3: Protocol/Format Bridging
Details
Utilize the Collector to receive telemetry data in one format/protocol (e.g., Jaeger, Prometheus) and export it to a backend that requires a different format (e.g., OTLP).
User Value
Facilitates migration between observability systems or integration with legacy systems.
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