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Deploying the ATLAS Metadata Interface (AMI) stack in a Docker Compose or Kubernetes environment.

ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from more than 20 years of feedback in the LHC context, the second major version was released in 2018. This poster describes how a renewed architecture and integration with moder...

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Detalles Bibliográficos
Autores principales: Lambert, Fabian, Odier, Jerome, Fulachier, Jerome Henri, Delsart, Pierre Antoine
Lenguaje:eng
Publicado: 2023
Materias:
Acceso en línea:http://cds.cern.ch/record/2857824
Descripción
Sumario:ATLAS Metadata Interface (AMI) is a generic ecosystem for metadata aggregation, transformation and cataloging. Benefiting from more than 20 years of feedback in the LHC context, the second major version was released in 2018. This poster describes how a renewed architecture and integration with modern technologies ease the usage and deployment of a complete AMI stack. It describes how to deploy AMI in a Docker Compose or Kubernetes environment, gives a particular focus to the registration of existing databases, the adding of additional metadata sources and the generation of high level Web search interfaces using dedicated wizards. Finally, this poster shows how to extend AMI by writing server-side Java commands, tasks and client-side Web applications.