In order to address the challenges of the Rubin Science Platform, Rubin developed a kubernetes-based approach to service deployment with an in-house service configuration and support infrastructure called phalanx, based on ArgoCD. It became apparent that the challenges of running a service-oriented architecture in a modern observatory summit lent themselves equally well to this approach. In this talk we will describe how phalanx was adapted for use for telescope, instrument and sensor control services and the advantages of providing a unified service infrastructure for both control systems and data services.
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.
SCORPIO is the next facility instrument for the Gemini South telescope at Cerro Pachon, Chile. SCORPIO’s main science driver is the detection and monitoring of faint time-domain events, in particular the follow-up of discoveries by the Vera C. Rubin Observatory, but it can also carry out with unique efficiency a large variety of astrophysical programs. The instrument has recently passed Critical Design Review and is now in its Assembly, Integration and Verification phase. In this paper we provide an updated overview of the final instrument design and the main performance parameters in light of the science drivers.
The construction of the Vera C. Rubin Observatory is well underway, and when completed the telescope will carry out a precision photometric survey, scanning the entire sky visible from Chile every three days. The photometric performance of the survey is expected to be dominated by systematics; therefore, multiple calibration systems have been designed to measure, characterize and compensate for these effects, including a dedicated telescope and instrument to measure variations in the atmospheric transmission over the LSST bandpasses. Now undergoing commissioning, the Auxiliary Telescope system is serving as a pathfinder for the development of the Rubin Control systems. This paper presents the current commissioning status of the telescope and control software, and discusses the lessons learned which are applicable to other observatories.
The Large Synoptic Survey Telescope (LSST) is an 8.4m optical survey telescope being constructed on Cerro Pach´on in Chile. The data management system being developed must be able to process the nightly alert data, 20,000 expected transient alerts per minute, in near real time, and construct annual data releases at the petabyte scale. The development team consists of more than 90 people working in six different sites across the US developing an integrated set of software to realize the LSST science goals. In this paper we discuss our agile software development methodology and our API and developer decision making process. We also discuss the software tools that we use for continuous integration and deployment.
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