Poster + Presentation + Paper
25 July 2024 Advanced log analysis for operations at Paranal Observatory
Author Affiliations +
Conference Poster
Abstract
The VLT at Paranal Observatory has been in operation for over two decades, and soon, the ELT will be managed by the same operational team. Maintaining operational efficiency and minimizing downtime with limited resources will be crucial. Previous research has shown that software logs effectively capture the telescopes' behavior, providing valuable operational insights. We've integrated various log analysis techniques from academic literature and industry best practices. These techniques allow engineers to monitor system health, analyze error sequences, detect anomalies, and reconstruct processes which improve maintenance and extract new insights. Additionally, we've utilized generative artificial intelligence and NLP transformer-based models, to infer observation behavior and predict execution failures. We have taken advantage of both the Paranal Datalab on-premises facility and Azure Cloud. In this work, we provide technical details and outline the key challenges and opportunities in adopting this technique within an astronomy facility.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Juan P. Gil, Natalie Behara, Vicente Lizana, and Eduardo Peña "Advanced log analysis for operations at Paranal Observatory", Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 131010D (25 July 2024); https://doi.org/10.1117/12.3016349
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KEYWORDS
Observatories

Visualization

Data modeling

Error analysis

Telescopes

Education and training

Analytical research

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