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Logstash - Open Source Data Collection, Enrichment, and Transportation Pipeline
Logstash is a powerful, open-source data processing pipeline that can ingest data from a multitude of sources simultaneously, transform it, and then send it to your favorite "stash", like Elasticsearch.
Java
Added on 2025年5月8日14,475
Stars3,519
ForksJava
LanguageProject Introduction
Summary
Logstash is a key component of the Elastic Stack (ELK Stack), designed to efficiently collect, parse, and transform logs and other event data from any source, any format, and any size before shipping it to a designated destination for storage and analysis.
Problem Solved
Organizations generate vast amounts of data from diverse systems (servers, applications, security devices). Collecting, unifying, parsing, and routing this heterogeneous data for analysis, monitoring, or archival is complex and often requires custom solutions. Logstash provides a standard, scalable, and flexible way to manage this data complexity.
Core Features
Input Plugins
Support for ingesting data from numerous sources including files, syslog, message queues (Kafka, RabbitMQ), network protocols (TCP/UDP), and more via over 200 different input plugins.
Filter Plugins
Powerful processing capabilities to parse, transform, enrich, and normalize data on the fly using various filters like Grok for unstructured data, Mutate for field manipulation, and GeoIP for location data.
Output Plugins
Ability to route processed data to various destinations, most commonly Elasticsearch for indexing, but also S3, databases, other queues, and even standard output.
Tech Stack
JRuby
JVM
Plugin Architecture
Use Cases
Logstash is a versatile tool used across various domains for efficient data ingestion, processing, and routing. Common applications include:
Centralized Logging Platform
Details
Collecting application and server logs from hundreds or thousands of machines into a single system (often Elasticsearch) for centralized monitoring, searching, and analysis, improving operational visibility.
User Value
Provides a unified view of system behavior, speeds up root cause analysis during outages, and enables proactive issue detection through log pattern analysis.
Security Information and Event Management (SIEM)
Details
Ingesting security events from firewalls, intrusion detection systems (IDS), security information and event management (SIEM) tools, and other security devices, parsing and enriching them, and sending them to a security analytics platform for threat detection and compliance reporting.
User Value
Enables real-time threat detection, streamlines compliance reporting, and facilitates forensic analysis by normalizing and centralizing security event data.
Event Data Pipeline
Details
Processing diverse types of event data, beyond just logs, such as application metrics, IoT sensor readings, and network traffic data, before routing them to appropriate databases, monitoring systems, or analytics platforms.
User Value
Creates flexible pipelines to handle heterogeneous data streams, making it easier to integrate data from various sources into downstream systems for analysis or storage.
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