  The Vera C. Rubin Observatory is preparing for the execution of the most
ambitious astronomical survey ever attempted, the Legacy Survey of Space and
Time (LSST). Currently in its final phase of construction in the Andes
mountains in Chile and due to start operations in 2025 for 10 years, its
8.4-meter telescope will nightly scan the southern sky and collect images of
the entire visible sky every 4 nights using a 3.2 Gigapixel camera, the largest
imaging device ever built for astronomy. Automated detection and classification
of celestial objects will be performed by sophisticated algorithms on
high-resolution images to progressively produce an astronomical catalog
eventually composed of 20 billion galaxies and 17 billion stars and their
associated physical properties. In this paper, we briefly present the
infrastructure deployed at the French Rubin data facility (operated by IN2P3
computing center, CC-IN2P3) to deploy the Rubin Science Platform, a set of
web-based services to provide effective and convenient access to LSST data for
scientific analysis. We describe the main services of the platform, the
components that provide those services and our deployment model. We also
present the Kubernetes-based infrastructure we are experimenting with for
hosting the LSST astronomical catalog, a petabyte-scale relational database
developed for the specific needs of the project.
