Fermilab Computing Division

The LSST Science Platform: Why Kubernetes and JupyterLab are our new best friends (and maybe yours too)

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Full Title: The LSST Science Platform: Why Kubernetes and JupyterLab are our new best friends (and maybe yours too)
Date & Time: 22 Oct 2018 at 11:00
Event Location: Curia II
Event Topic(s): Computing Techniques Seminar
Event Moderator(s):
Event Info: Speaker:
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.

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Other documents for this event

CS-doc-# Title Author(s) Topic(s) Last Updated
6568-v1 The LSST Science Platform: Why Kubernetes and JupyterLab are our new best friends (and maybe yours too) Unknown Computing Techniques Seminars
29 Oct 2018

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