Logstash is a server-side data processing pipeline that ingests, transforms, and routes data from multiple sources simultaneously.
The tool solves the problem of collecting and processing logs and events from diverse sources before sending them to storage or analysis systems. It works by accepting data from numerous input sources, applying transformations through a configurable pipeline, and delivering the processed data to output destinations. The platform includes over two hundred plugins covering common data sources and destinations, with Elasticsearch as the native output target within the Elastic Stack.
Logstash suits organizations that need to centralize log collection and event processing across distributed systems. It works well for teams already using or considering the Elastic Stack, since it integrates directly with Elasticsearch and Kibana. The tool is particularly valuable for those who need to normalize data formats, enrich events, or filter information before storage. The extensibility model makes it suitable for custom requirements, as developers can write plugins as self-contained Ruby gems and publish them independently.
The project maintains active development with a structured plugin ecosystem housed in separate repositories, allowing plugin issues and contributions to be managed independently from core functionality. The codebase requires JDK version twenty-one and JRuby, with build tooling managed through Gradle and standard Ruby development tools. Documentation and getting started guides are maintained on the Elastic website alongside official binary distributions and system packages for supported platforms. The project provides multiple support channels including a dedicated forum, comprehensive documentation, and commercial support options through Elastic subscriptions.
