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ALMA has been operating for several years now. Many scientific tools used to assess its scientific data products have been in use since its beginnings. Recently, it has become clear that there is a necessity to agilize the delivery and deployment of improvements and new features of these tools. However, since these tools are developed by scientists and not by ALMA's Integrated Computing Team, the existing delivery process fails to address all the needs that these tools require. In this paper we will show how we have automated the software delivery process for a particular tool used within the scientific operations at ALMA. The approach to implement this was to use DevOps principles applied to the Science Operations within ALMA, hence the concept SciDevOps. We explain what the previous situation was and what changes were implemented in order to achieve a fully automated delivery and deployment process.
Álvaro Aguirre,Víctor González,Lidia Dominguez-Faus, andBill Dent
"SciDevOps: accelerating scientific software delivery under a continuous integration model", Proc. SPIE 12189, Software and Cyberinfrastructure for Astronomy VII, 121892M (29 August 2022); https://doi.org/10.1117/12.2629694
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Álvaro Aguirre, Víctor González, Lidia Dominguez-Faus, Bill Dent, "SciDevOps: accelerating scientific software delivery under a continuous integration model," Proc. SPIE 12189, Software and Cyberinfrastructure for Astronomy VII, 121892M (29 August 2022); https://doi.org/10.1117/12.2629694