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Telegraf - The Plugin-Driven Agent for Collecting Metrics, Logs, and Events
Telegraf is a plugin-driven server agent built to collect, process, aggregate, and write metrics and logs. It supports a wide variety of input and output plugins, making it highly flexible for diverse data collection needs in IT infrastructure and beyond.
Go
Added on 2025年6月28日15,709
Stars5,656
ForksGo
LanguageProject Introduction
Summary
Telegraf is an open-source, Go-based agent developed by InfluxData for collecting and reporting metrics and events. It is designed to be lightweight, self-contained, and require minimal external dependencies, making it ideal for deployment on servers, containers, and edge devices.
Problem Solved
Collecting monitoring data (metrics, logs, events) from a distributed and heterogeneous environment can be challenging. Telegraf addresses this by providing a single, lightweight agent that can be deployed anywhere to gather data from virtually any source and send it to any destination.
Core Features
Extensive Input Plugin Support
Supports over 200 input plugins to collect data from systems, databases, cloud services, containers, and more.
Multiple Output Plugin Options
Ability to send collected data to various destinations, including InfluxDB, Kafka, Prometheus, file outputs, and numerous other databases and services.
Processor and Aggregator Plugins
Allows transformation, filtering, and manipulation of metrics and logs before they are written to outputs.
Highly Extensible Architecture
Its plugin-driven architecture makes it easy to extend and integrate with custom data sources or destinations.
Tech Stack
Go
Use Cases
Telegraf's flexibility makes it suitable for a wide array of data collection scenarios:
Infrastructure Monitoring
Details
Collect system-level metrics such as CPU usage, memory consumption, disk I/O, and network traffic from servers and VMs.
User Value
Provides essential visibility into the health and performance of your server fleet.
Application Performance Monitoring (APM)
Details
Gather metrics and logs from databases (MySQL, PostgreSQL, MongoDB), message queues (Kafka, RabbitMQ), web servers (Apache, Nginx), and custom applications.
User Value
Enables deep insight into application behavior and helps identify bottlenecks.
Log Collection and Processing
Details
Ingest logs from files, syslog, or systemd-journald, optionally parsing and transforming them before sending to log analysis platforms.
User Value
Consolidates logs from distributed sources for centralized analysis and troubleshooting.
IoT Data Collection
Details
Collect data from IoT devices, sensors, and edge computing environments.
User Value
Provides a lightweight agent for data ingestion from resource-constrained devices.
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