Paper | Title | Page |
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MOCPR05 | CI-CD Practices with the TANGO-controls Framework in the Context of the Square Kilometre Array (SKA) Telescope Project | 115 |
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Funding: INAF Osservatorio Astronomico d’Abruzzo The Square Kilometre Array (SKA) project is an international effort to build two radio interferometers in South Africa and Australia to form one observatory monitored and controlled from the global headquarters (GHQ) in the United Kingdom. The project is very close to the end of its design phase and many decisions have already been made like the adoption of the Tango-controls framework. The time from the end of the design phases and the beginning of the construction has been called bridging with the goal of promoting CI-CD practices. CI-CD is an acronym for Continuous integration (CI) and continuous delivery and/or continuous deployment. CI is the practice of merging all developers’ local (working) copies into the mainline very often (at least daily). Continuous delivery is the approach of developing software in short cycle ensuring that it can be released anytime, and continuous deployment is the approach of delivering the software frequently and automatically. The present paper analyzes the decision taken by the system team (a specialized agile team for continuous practices in the Safe framework) for promoting those practices within the Tango-controls framework. |
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Slides MOCPR05 [1.878 MB] | |
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOCPR05 | |
About • | paper received ※ 20 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020 | |
Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |
WEPHA020 | Pushing the Limits of Tango Archiving System using PostgreSQL and Time Series Databases | 1116 |
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The Tango HDB++ project is a high performance event-driven archiving system which stores data with micro-second resolution timestamps, using archivers written in C++. HDB++ supports MySQL/MariaDB and Apache Cassandra backends and has been recently extended to support PostgreSQL and TimescaleDB*, a time-series PostgreSQL extension. The PostgreSQL backend has enabled efficient multi-dimensional data storage in a relational database. Time series databases are ideal for archiving and can take advantage of the fact that data inserted do not change. TimescaleDB has pushed the performance of HDB++ to new limits. The paper will present the benchmarking tools that have been developed to compare the performance of different backends and the extension of HDB++ to support TimescaleDB for insertion and extraction. A comparison of the different supported back-ends will be presented.
https://timescale.com |
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Poster WEPHA020 [1.609 MB] | |
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA020 | |
About • | paper received ※ 30 September 2019 paper accepted ※ 02 November 2019 issue date ※ 30 August 2020 | |
Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |