Built on an open source foundation, Elasticsearch and Kibana pave the way for diverse use cases that start with logging and span as far as your imagination takes you. Elastic features like machine learning, security, and reporting compound that value.
Kibana is an open source data visualization dashboard for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.
Beats are essentially lightweight, purpose-built agents that acquire data and then feed it to Elasticsearch. The magic of Beats is the libbeat framework that makes it easy to create customized beats for any type of data you'd like to send to Elasticsearch.
A server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to Elasticsearch.
"ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana
Elasticsearch is a distributed, RESTful search and analytics engine capable of addressing a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.
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