Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy

What is elasticsearch, logstash and kibana?


Asked by Baylee Page on Dec 07, 2021 FAQ



Elasticsearch is used as a scalable, searchable database to store data . Elasticsearch is the warehouse where Logstash pipes all the data. Finally, Kibana provides a user-friendly interface for you to review the data that's been collected. It is highly configurable, so you can adjust the metrics to fit your needs.
In fact,
"ELK" is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch.
Thereof, Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Just so,
Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Next,
The Elastic Stack in the Kibana simplifies the ingesting of the dataset, visualizing of data, and also reporting the results from the dataset in Kibana. Integrating with Beats and Logstash allows the processing of data simple before indexing into Elasticsearch.