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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...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
2020
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Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202024507021 http://cds.cern.ch/record/2752531 |
_version_ | 1780969333820751872 |
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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 |