Large Elasticsearch cluster management

Author:

Saiz Pablo,Schwickerath Ulrich

Abstract

The Centralised Elasticsearch Service at CERN runs the infrastructure to provide Elasticsearch clusters for more than 100 different use cases. This contribution presents how the infrastructure is managed, covering the resource distribution, instance creation, cluster monitoring and user support. The contribution will present the components that have been identified as critical in order to share resources and minimise the amount of clusters and machines needed to run the service. In particular, all the automation for the instance configuration, including index template management, backups and visualisation settings, will be explained in detail.

Publisher

EDP Sciences

Reference15 articles.

1. Elasticsearch [software], versions 5.5.1, 5.6.9, 6.2.4. (accessed 2020-03-10)

2. Securing and sharing Elasticsearch resources with Read-onlyREST

3. OpenStack Open Source Cloud Computing Software [software], version Ocata. Available from https://openstack.org, [accessed 2020-03-10)

4. Puppet Labs: IT Automation Software for System Administrators [software], version 4.9.4, 2018. Available from http://puppetlabs.com, (accessed 2020-03-10)

5. ReadonlyREST: Security for Elasticsearch and Kibana [software], version 2.18.1. Available from https://github.com/sscarduzio/elasticsearch-readonlyrest-plugin, (accessed 2020-03-10)

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