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Dockbeat is the new Dockerbeat name. We had to rename the project due to the Docker trademarking policy. Dockbeat is a Beat used for docker daemon monitoring. It is a lightweight agent that installed on your servers, reads periodically docker container statistics and indexes them in Elasticsearch. Exported document types There are five types of documents exported: type: container: container attributes type: cpu: container CPU usage statistics. One document per container is generated. type: net: container network statistics. One document per network container is generated. type: memory: container memory statistics. One document per container is generated. type: blkio: container io access statistics. One document per container is generated. type: log: dockbeat status information. One document per tick is generated if an error occurred.
Elasticsearch is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. It is a flexible and powerful open source, distributed, real-time search and analytics engine. Architected from the ground up for use in distributed environments where reliability and scalability are must haves, Elasticsearch gives you the ability to move easily beyond simple full-text search. Through its robust set of APIs and query DSLs, plus clients for the most popular programming languages, Elasticsearch delivers on the near limitless promises of search technology.
The Python (jython) language plugin allows to have python as the language of scripts to execute.
The Store SMB plugin adds support for SMB stores.