ELK (Elasticsearch, Logstash, and Kibana) is a powerful open source stack for managing and analyzing log data. This stack provides the ability to easily collect, store, index, search and visualize log data from any source. By using ELK, organizations can quickly gain visibility into their data and uncover patterns, trends and insights that were otherwise hidden in complex datasets.
Elasticsearch is an open source, distributed search and analytics engine. It is used to store, index and query large volumes of log data. Elasticsearch works as an indexer, data mapper and search engine all in one. It provides fast search capabilities and performs advanced analytics on log data.
Logstash is an open source tool that can be used to collect, enrich and transport log data from multiple sources and into Elasticsearch. Logstash allows users to define customized data ingestion pipelines. With the flexibility of Logstash, users can define data flow pipelines to easily move log data from any source to Elasticsearch.
Kibana is an open source analytics and visualization platform. It enables users to create meaningful visualizations from their log data by creating dashboards and graphs. Kibana also provides powerful searching capabilities to quickly find the information users are looking for.
ELK is used by organizations of all sizes to quickly and easily collect, store, search, analyze and visualize their log data. It is a powerful, yet easy to use, solution for gaining deep insights from large data sets.
