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Beats - Lightweight Data Shippers for Elasticsearch and Logstash

Beats is a collection of lightweight data shippers that send operational data from edge machines to Elasticsearch and Logstash, part of the Elastic Stack for logging, metrics, and security analytics.

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Added on 2025年6月19日
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Beats - Lightweight Data Shippers for Elasticsearch and Logstash preview
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Project Introduction

Summary

Beats are purpose-built agents that reside on your servers to send specific types of operational data to Elasticsearch or Logstash. They are part of the Elastic Stack and offer a flexible and efficient way to ingest machine data.

Problem Solved

Collecting and centralizing operational data from a multitude of servers, containers, and network devices can be complex and resource-intensive. Beats simplifies this process by providing specialized, lightweight agents for different data types.

Core Features

Diverse Data Collection

Collects various types of operational data, including logs, metrics, network traffic, and more, from diverse sources.

Lightweight Footprint

Designed to be resource-efficient and lightweight, minimizing impact on the systems they monitor.

Tech Stack

Go
Libbeat Framework
TCP/IP Networking
Data Serialization (JSON)

使用场景

Beats are used in various scenarios where operational data needs to be collected efficiently and sent to the Elastic Stack for indexing, analysis, and visualization.

Scenario 1: Centralized Log Collection

Details

Deploy Filebeat on servers to collect log files from applications and operating systems, forwarding them to Logstash or Elasticsearch.

User Value

Gain a unified view of logs across the entire infrastructure, enabling faster troubleshooting and compliance.

Scenario 2: Infrastructure Performance Monitoring

Details

Use Metricbeat to gather system-level metrics (CPU, memory, disk) and service-level metrics from databases, web servers, etc., sending them to Elasticsearch.

User Value

Monitor the health and performance of systems and services in real-time, identifying bottlenecks and potential issues proactively.

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