Sasquatch: Rubin Observatory metrics and telemetry service

Angelo Fausti Neto; Frossie Economou; Michael A. Reuter; Jonathan Sick; Russ Allbery; Adam J. Thornton

doi:10.1117/12.3019081

25 July 2024 Sasquatch: Rubin Observatory metrics and telemetry service

Angelo Fausti Neto, Frossie Economou, Michael A. Reuter, Jonathan Sick, Russ Allbery, Adam J. Thornton

Author Affiliations +

Proceedings Volume 13101, Software and Cyberinfrastructure for Astronomy VIII; 131011M (2024) https://doi.org/10.1117/12.3019081
Event: SPIE Astronomical Telescopes + Instrumentation, 2024, Yokohama, Japan

Abstract

At Vera C. Rubin Observatory, the need to manage metrics and telemetry data efficiently led to the creation of Sasquatch. Sasquatch consolidates our high-frequency telemetry harness, which captures the observatory engineering data, with the science performance metrics measured by the LSST Science Pipelines. Sasquatch utilizes InfluxDB, a time series database, to efficiently store and query time-series data. We combine InfluxDB Enterprise with Apache Kafka and deploy our solution on the Kubernetes platform. Our current setup at the US Data Facility enables real-time access to data mirrored from the Summit and leverages tools like Chronograf for time series data visualization, Kapacitor for alert management, and the Rubin Science Platform’s notebook environment for data analysis using Python. Sasquatch is currently employed during Rubin Observatory’s System Integration Testing and Commissioning phase and is an essential service as we transition into survey operations.

Conference Presentation

Citation Download Citation

Angelo Fausti Neto, Frossie Economou, Michael A. Reuter, Jonathan Sick, Russ Allbery, and Adam J. Thornton "Sasquatch: Rubin Observatory metrics and telemetry service", Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 131011M (25 July 2024); https://doi.org/10.1117/12.3019081

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