ICALEPCS2023 - List of Authors (Dange, A.)

Paper	Title	Page
THSDSC05	The SKAO Engineering Data Archive: From Basic Design to Prototype Deployments in Kubernetes	1590
	T. Juerges SKAO, Macclesfield, United Kingdom A. Dange Tata Consultancy Services, Pune, India
	During its construction and production life cycles, the Square Kilometre Array Observatory (SKAO) will generate non-scientific, i.e. engineering, data. The sources of the engineering data are either hardware devices or software programs that generate this data. Thanks to the Tango Controls software framework, the engineering data can be automatically stored in a relational database, which SKAP refers to as the Engineering Data Archive (EDA). Making the data in the EDA accessible and available to engineers and users in the observatory is as important as storing the data itself. Possible use cases for the data are verification of systems under test, performance evaluation of systems under test, predictive maintenance and general performance monitoring over time. Therefore we tried to build on the knowledge that other research facilities in the Tango Controls collaboration already gained, when they designed, implemented, deployed and ran their engineering data archives. SKAO implemented a prototype for its EDA, that leverages several open-source software packages, with Tango Controls’ HDB++, the Timescaledb time series database and Kubernetes at its core. In this overview we will answer the immediate question "But why do we not just do, what others are doing?" and explain the reasoning behind our choices in the design and in the implementation.
	Poster THSDSC05 [3.062 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THSDSC05
About •	Received ※ 05 October 2023 — Revised ※ 27 October 2023 — Accepted ※ 05 December 2023 — Issued ※ 11 December 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

The SKAO Engineering Data Archive: From Basic Design to Prototype Deployments in Kubernetes

1590

T. Juerges
SKAO, Macclesfield, United Kingdom
A. Dange
Tata Consultancy Services, Pune, India

During its construction and production life cycles, the Square Kilometre Array Observatory (SKAO) will generate non-scientific, i.e. engineering, data. The sources of the engineering data are either hardware devices or software programs that generate this data. Thanks to the Tango Controls software framework, the engineering data can be automatically stored in a relational database, which SKAP refers to as the Engineering Data Archive (EDA). Making the data in the EDA accessible and available to engineers and users in the observatory is as important as storing the data itself. Possible use cases for the data are verification of systems under test, performance evaluation of systems under test, predictive maintenance and general performance monitoring over time. Therefore we tried to build on the knowledge that other research facilities in the Tango Controls collaboration already gained, when they designed, implemented, deployed and ran their engineering data archives. SKAO implemented a prototype for its EDA, that leverages several open-source software packages, with Tango Controls’ HDB++, the Timescaledb time series database and Kubernetes at its core. In this overview we will answer the immediate question "But why do we not just do, what others are doing?" and explain the reasoning behind our choices in the design and in the implementation.

Poster THSDSC05 [3.062 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-ICALEPCS2023-THSDSC05

About •

Received ※ 05 October 2023 — Revised ※ 27 October 2023 — Accepted ※ 05 December 2023 — Issued ※ 11 December 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)