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Large Elasticsearch cluster management

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...

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Detalles Bibliográficos
Autores principales: Saiz, Pablo, Schwickerath, Ulrich
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024507021
http://cds.cern.ch/record/2752531
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author Saiz, Pablo
Schwickerath, Ulrich
author_facet Saiz, Pablo
Schwickerath, Ulrich
author_sort Saiz, Pablo
collection CERN
description 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.
id oai-inspirehep.net-1832209
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling oai-inspirehep.net-18322092021-02-22T19:39:29Zdoi:10.1051/epjconf/202024507021http://cds.cern.ch/record/2752531engSaiz, PabloSchwickerath, UlrichLarge Elasticsearch cluster managementComputing and ComputersThe 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.oai:inspirehep.net:18322092020
spellingShingle Computing and Computers
Saiz, Pablo
Schwickerath, Ulrich
Large Elasticsearch cluster management
title Large Elasticsearch cluster management
title_full Large Elasticsearch cluster management
title_fullStr Large Elasticsearch cluster management
title_full_unstemmed Large Elasticsearch cluster management
title_short Large Elasticsearch cluster management
title_sort large elasticsearch cluster management
topic Computing and Computers
url https://dx.doi.org/10.1051/epjconf/202024507021
http://cds.cern.ch/record/2752531
work_keys_str_mv AT saizpablo largeelasticsearchclustermanagement
AT schwickerathulrich largeelasticsearchclustermanagement