  The Vera C. Rubin Observatory is preparing to execute the most ambitious
astronomical survey ever attempted, the Legacy Survey of Space and Time (LSST).
Currently the final phase of construction is under way in the Chilean Andes,
with the Observatory's ten-year science mission scheduled to begin in 2025.
Rubin's 8.4-meter telescope will nightly scan the southern hemisphere
collecting imagery in the wavelength range 320-1050 nm covering the entire
observable 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 article we present an overview of the system currently being
constructed to perform data distribution as well as the annual campaigns which
reprocess the entire image dataset collected since the beginning of the survey.
These processing campaigns will utilize computing and storage resources
provided by three Rubin data facilities (one in the US and two in Europe). Each
year a Data Release will be produced and disseminated to science collaborations
for use in studies comprising four main science pillars: probing dark matter
and dark energy, taking inventory of solar system objects, exploring the
transient optical sky and mapping the Milky Way.
  Also presented is the method by which we leverage some of the common tools
and best practices used for management of large-scale distributed data
processing projects in the high energy physics and astronomy communities. We
also demonstrate how these tools and practices are utilized within the Rubin
project in order to overcome the specific challenges faced by the Observatory.
