A server-side data processing pipeline that ingests, transforms, and ships logs and events from multiple sources.
Logstash is an open-source, server-side data processing pipeline that is part of the Elastic Stack. It ingests data from a wide variety of sources, transforms it in real-time, and then sends it to a 'stash' like Elasticsearch for storage and analysis. It solves the problem of collecting, parsing, and enriching log and event data from disparate systems into a centralized, usable format.
DevOps engineers, SREs, and developers who need to centralize and process log data, metrics, or other event streams from multiple applications and infrastructure components.
Developers choose Logstash for its powerful, plugin-based extensibility, seamless integration with the Elastic Stack, and its ability to handle high-volume data ingestion and transformation pipelines out of the box.
Logstash - transport and process your logs, events, or other data
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
With over 200 official plugins for inputs, filters, and outputs, Logstash can connect to virtually any data source or destination, and the README emphasizes that custom plugins are easy to write in Ruby.
Designed as a core component, it works out-of-the-box with Beats, Elasticsearch, and Kibana, providing a complete observability solution without integration headaches.
Filter plugins enable real-time data parsing, enrichment, and mutation during ingestion, supporting complex ETL workflows without external processing steps.
Backed by Elastic and an active community, with principles like treating new user bad experiences as bugs, ensuring continuous improvement and reliable forums for help.
Running on JVM with JRuby leads to high memory usage and slow startup times, as noted in the README with the need for tools like Drip to mitigate development slowdowns.
Initial setup requires managing JDK, JRuby, and build tools like Gradle, and pipeline configurations can become unwieldy, especially for custom transformations or plugin development.
Plugins are hosted in separate repositories, fragmenting issue tracking and support, and requiring developers to navigate multiple sources for updates and compatibility checks.