Laniakea delivers state-of-the-art tools for the deployment of on-demand Galaxy instances over cloud infrastructures, to effortlessly create and manage private, production-grade, virtual Galaxy instances. During the last year, through the service Laniakea@ReCaS, Laniakea emerged as flexible and reliable platform for researchers' daily work, tools development and training. At the same time, new requirements emerged from the user community and cloud providers, driving the development of the next Laniakea release. Laniakea is primarily based on the PaaS layer developed by the INDIGO-DataCloud H2020 project and beyond, now adopted by the Italian National Institute for Nuclear Physics for its INFN-Cloud, focused on making cloud e-infrastructures more accessible by scientific communities. The PaaS layer provides the orchestration services and their integration with the Authentication and Authorization Infrastructure, automating the deployment and configuration of the virtual Galaxy servers. We introduce here the incoming third release of Laniakea (programmed in autumn 2021). A new flexible Service Level Agreement Tool is introduced at PaaS level, alongside the possibility to deploy Galaxy using both Mesos and Kubernetes. Moreover, the PaaS introduces a quota system for setting limits on resources such as number of CPUs and RAM that a specific user can use. At Galaxy deployment level, we greatly improved the compatibility of Laniakea Ansible roles with those developed by the Galaxy community, allowing for greater and easier alignment with the Galaxy updates. Finally, this release includes additional Galaxy flavours and introduces support for RStudio and Jupyter on demand both as standalone tools and integrated within Galaxy.

Laniakea – Update 2021 / M. Tangaro, G. Donvito, M. Antonacci, M. Chiara, P. Mandreoli, G. Pesole, F. Zambelli. ((Intervento presentato al convegno Galaxy Community Conference tenutosi a Online nel 2021.

Laniakea – Update 2021

M. Chiara;P. Mandreoli;F. Zambelli
2021

Abstract

Laniakea delivers state-of-the-art tools for the deployment of on-demand Galaxy instances over cloud infrastructures, to effortlessly create and manage private, production-grade, virtual Galaxy instances. During the last year, through the service Laniakea@ReCaS, Laniakea emerged as flexible and reliable platform for researchers' daily work, tools development and training. At the same time, new requirements emerged from the user community and cloud providers, driving the development of the next Laniakea release. Laniakea is primarily based on the PaaS layer developed by the INDIGO-DataCloud H2020 project and beyond, now adopted by the Italian National Institute for Nuclear Physics for its INFN-Cloud, focused on making cloud e-infrastructures more accessible by scientific communities. The PaaS layer provides the orchestration services and their integration with the Authentication and Authorization Infrastructure, automating the deployment and configuration of the virtual Galaxy servers. We introduce here the incoming third release of Laniakea (programmed in autumn 2021). A new flexible Service Level Agreement Tool is introduced at PaaS level, alongside the possibility to deploy Galaxy using both Mesos and Kubernetes. Moreover, the PaaS introduces a quota system for setting limits on resources such as number of CPUs and RAM that a specific user can use. At Galaxy deployment level, we greatly improved the compatibility of Laniakea Ansible roles with those developed by the Galaxy community, allowing for greater and easier alignment with the Galaxy updates. Finally, this release includes additional Galaxy flavours and introduces support for RStudio and Jupyter on demand both as standalone tools and integrated within Galaxy.
22-lug-2021
Settore BIO/11 - Biologia Molecolare
https://f1000research.com/slides/10-636
Laniakea – Update 2021 / M. Tangaro, G. Donvito, M. Antonacci, M. Chiara, P. Mandreoli, G. Pesole, F. Zambelli. ((Intervento presentato al convegno Galaxy Community Conference tenutosi a Online nel 2021.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/983110
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