Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
---|---|---|
Article Number | 07006 | |
Number of page(s) | 8 | |
Section | Facilities and Virtualization | |
DOI | https://doi.org/10.1051/epjconf/202429507006 | |
Published online | 06 May 2024 |
https://doi.org/10.1051/epjconf/202429507006
Architecting the OpenSearch service at CERN
CERN, Esplanades des Particules 1, 1211 Meyrin, Switzerland
* e-mail: sokratis.papadopoulos@cern.ch
** e-mail: pablo.saiz@cern.ch
*** e-mail: ulrich.schwickerath@cern.ch
**** e-mail: emil.kleszcz@cern.ch
Published online: 6 May 2024
The centralised Elasticsearch service has been running at CERN since 2016, providing the search and analytics engine for numerous CERN users. The service has been based on the open-source version of Elasticsearch, surrounded by a set of external open-source plugins offering security, multitenancy, extra visualization types, and more. In October 2020, CERN embarked on an evaluation of OpenDistro for Elasticsearch, an alternative solution that used a different set of modules while retaining the core of open-source Elasticsearch. Notably, OpenDistro offered the advantage of bundling all components together, simplifying the deployment of new versions. This evaluation gained increased significance following a license change imposed by Elastic, the original creators of Elasticsearch. Consequently, the OpenDistro project was rebranded, now based on a forked version of Elasticsearch, called OpenSearch. Motivated by the license change and the streamlined deployment of the featurerich OpenSearch project as a fully open-source environment, the decision was taken to migrate the service at CERN towards it. The migration required a complete architectural redesign to accommodate the new modules while upholding the established standards of resource efficiency. The new service not only introduced a wide range of additional capabilities but also resolved longstanding maintainability issues while meeting the growing demands of various use-cases. At the time of writing, CERN’s service comprises 42 OpenSearch and 41 OpenDistro clusters in active production, plus 28 OpenSearch development clusters. This article covers the motivation, design, and implementation of this transition, highlighting the challenges encountered throughout the process.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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