The LSST Science Platform: Why Kubernetes and JupyterLab are our new best friends (and maybe yours too)
Simple document list
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- Computing Techniques Seminars
- The Cosmic Frontier and the SCD: what is the 7th floor doing?
- Prometheus for Monitoring Metrics
- The LSST Science Platform: Why Kubernetes and JupyterLab are our new best friends (and maybe yours too)
- New Physics Mining with Deep Learning at the LHC
- Science and AI on the Worlds Fastest Supercomputer
|Date & Time:||22 Oct 2018 at 11:00|
|Event Location:||Curia II|
|Event Topic(s):||Computing Techniques Seminar
Frossie Economou, Technical Manager, LSST Abstract:
The Large Synoptic Survey Telescope is a massive optical survey that will produce half an Exabyte of image data. Even if we only cared about the resulting catalogues, the 7 trillion row database naturally pushes us to a bring your code to the data regime. But astronomical data exploration is an iterative process that is ill suited to traditional batch computing models for most of its lifecycle. Here I will discuss how the architecture and implementation of the Notebook Aspect of the LSST Science Platform addresses the challenges of providing a typically interactive experience on a datacenter-side service. This talk will be of interest to those building and deploying science-facing data services, as well as those who are interested in a preview of the LSST user experience.