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Telegraf - The Plugin-Driven Server Agent for Data Collection

Telegraf is a plugin-driven server agent developed by InfluxData for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data. It supports a vast array of input and output plugins.

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Added on 2025年6月12日
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Telegraf - The Plugin-Driven Server Agent for Data Collection preview
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Project Introduction

Summary

Telegraf is a server agent designed to collect and send metrics, logs, and other time-series data to databases or message queues. It is plugin-driven, allowing it to be highly flexible and extensible to support numerous data sources and destinations.

Problem Solved

Collecting performance metrics, logs, and data from a diverse range of sources (servers, applications, databases, cloud services) is a common challenge. Telegraf provides a single, configurable agent to centralize this collection process, simplifying data pipelines and reducing integration effort.

Core Features

Extensive Input Plugin Support

Collect metrics and events from databases, systems, and IoT devices.

Processor and Aggregator Plugins

Transform, filter, and decorate metrics before sending them to outputs.

Broad Output Plugin Compatibility

Send collected data to various databases, queues, and services.

Low Resource Consumption

Lightweight footprint and minimal dependencies, making it easy to install and run.

Tech Stack

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Use Cases

Telegraf's flexibility through its plugin architecture makes it suitable for a wide array of data collection scenarios:

Infrastructure Monitoring

Details

Collect CPU, memory, network, and disk I/O statistics from physical or virtual servers across a data center or cloud environment.

User Value

Gain real-time visibility into server health and performance, enabling proactive issue detection and capacity planning.

Application and Database Monitoring

Details

Gather metrics and logs from web servers (e.g., Nginx, Apache), application frameworks, and databases (e.g., MySQL, PostgreSQL, MongoDB).

User Value

Understand application performance characteristics, identify bottlenecks, and debug issues using integrated metrics and logs.

IoT Data Collection

Details

Collect data streams from IoT devices, sensors, or edge gateways.

User Value

Enable centralized ingestion and analysis of data from distributed IoT deployments.

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