ELK

Contents

ELK is the acronym for three open source projects: ElasticSearch, Logstash, Kibana. Elasticsearch is a search and analytics engine. Logstash is a server-side data processing pipeline that ingest data from multiple sources simultaneously, transform it and then sends it to Elasticsearch. Kibana lets users visualize data with charts and graphs using collected data in Elasticsearch.

https://www.elastic.co/what-is/elk-stack

Requirements for _meas_node

Each Elasticsearch node requires 1GB of RAM to run the 3-node cluster. Make sure to create _meas_node with enough RAM. By default, the _meas_node is created with 2 CPU cores, 100GB storage and 8GB RAM.

Updated on September 15, 2022

Was this article helpful?

Having problems?

Try searching or asking questions in the FABRIC community forums!

Leave a Comment Cancel

You must be logged in to post a comment.

FABRIC invites nominations for four awards recognizing innovative uses of FABRIC resources—Best Published Paper, Best FABRIC Matrix, Best FABRIC Experiment, and Best Classroom Use of FABRIC — submissions due by **Monday, February 24 at 11:59 PM ET**, and winners announced at KNIT10. [>>>Submit Form](https://docs.google.com/forms/d/e/1FAIpQLSeTp3i2iDhB7bHgN8ryMxZci8ya87yjeQd7_JMZImUodNinVA/viewform)

KNIT10 Call for Demos Now Open! Submit your demo by **February 24**. [>>>Submit Demo](https://docs.google.com/forms/d/e/1FAIpQLScRIWqHliNP3DFWBCnalYN_fBXJXVM0PpP9YWWJdSebC95TvA/viewform)

FABRIC invites nominations for four awards recognizing innovative uses of FABRIC resources—Best Published Paper, Best FABRIC Matrix, Best FABRIC Experiment, and Best Classroom Use of FABRIC — submissions due by **Monday, February 24 at 11:59 PM ET**, and winners announced at KNIT10. [>>>Submit Form](https://docs.google.com/forms/d/e/1FAIpQLSeTp3i2iDhB7bHgN8ryMxZci8ya87yjeQd7_JMZImUodNinVA/viewform)

KNIT10 Call for Demos Now Open! Submit your demo by **February 24**. [>>>Submit Demo](https://docs.google.com/forms/d/e/1FAIpQLScRIWqHliNP3DFWBCnalYN_fBXJXVM0PpP9YWWJdSebC95TvA/viewform)