  The Legacy Survey of Space and Time, operated by the Vera C. Rubin
Observatory, is a 10-year astronomical survey due to start operations in 2022
that will image half the sky every three nights. LSST will produce ~20TB of raw
data per night which will be calibrated and analyzed in almost real time. Given
the volume of LSST data, the traditional subset-download-process paradigm of
data reprocessing faces significant challenges. We describe here, the first
steps towards a gateway for astronomical science that would enable astronomers
to analyze images and catalogs at scale. In this first step we focus on
executing the Rubin LSST Science Pipelines, a collection of image and catalog
processing algorithms, on Amazon Web Services (AWS). We describe our initial
impressions on the performance, scalability and cost of deploying such a system
in the cloud.
