The recent Logstash 2.2 release is powered by a new and improved, next-generation pipeline backbone, enables dynamic watermarking for JDBC input queries, supports compressed HTTP input requests, and is compatible with the latest versions of Elasticsearch and Beats. Learn more.
Logstash is a data pipeline that helps you process logs and other event data from a variety of systems. With 200 plugins and counting, Logstash can connect to a variety of sources and stream data at scale to a central analytics system.
Business-critical data is often scattered among different systems, each in its own format. Logstash allows you to parse this data and converge on a common format before inserting it into your analytics datastore of choice.
Most logs written by infrastructure and applications have custom formats. Logstash provides a fast and convenient way to custom logic for parsing these logs at scale.
Built with extensibility in mind, Logstash provides an API for rapid plugin development by the community. With recent improvements to the plugin ecosystem, contributors can publish new plugins at any time.