Modular and scalable archiving for EPICS and other time series using ScyllaDB and rust

Werder, D.; Humar, T.

doi:10.18429/JACoW-ICALEPCS2023-WE3BCO01

Modular and scalable archiving for EPICS and other time series using ScyllaDB and rust

Citation

Werder, D., & Humar, T. (2023). Modular and scalable archiving for EPICS and other time series using ScyllaDB and rust. In 19th international conference on accelerator large experimental physics control system (pp. 1008-1011). https://doi.org/10.18429/JACoW-ICALEPCS2023-WE3BCO01

Persistent URL https://www.dora.lib4ri.ch/psi/islandora/object/psi:60889

To unify, simplify and improve our archiving setup we have developed a more modular archiver architecture
based on an existing database with industry adoption and enterprise support, combined with additional services which ingest data from EPICS sources into the database and serve user requests for channel data from the database. The prototype is currently tested at the Swiss Free Electron Laser (SwissFEL) and planned to run in
production mode from the beginning of 2024. Additional support for more input sources beside EPICS sources is
also under development.

Details

Publication Type

Proceedings Paper

Title

Modular and scalable archiving for EPICS and other time series using ScyllaDB and rust

Author(s)

Werder, D. (8212 Software Engineering - Backend)

Humar, T. (8212 Software Engineering - Backend)

Conference Proceedings