  The ASTRI Mini-Array is a project for the Cherenkov astronomy in the TeV
energy range. ASTRI Mini-Array consists of nine Imaging Atmospheric Cherenkov
telescopes located at the Teide Observatory (Canarias Islands). Large volumes
of monitoring and logging data result from the operation of a large-scale
astrophysical observatory. In the last few years, several "Big Data"
technologies have been developed to deal with such volumes of data, especially
in the Internet of Things (IoT) framework. We present the Monitoring, Logging,
and Alarm (MLA) system for the ASTRI Mini-Array aimed at supporting the
analysis of scientific data and improving the operational activities of the
telescope facility. The MLA system was designed and built considering the
latest software tools and concepts coming from Big Data and IoT to respond to
the challenges posed by the operation of the array. A particular relevance has
been given to satisfying the reliability, availability, and maintainability
requirements towards all the array sub-systems and auxiliary devices. The
system architecture has been designed to scale up with the number of devices to
be monitored and with the number of software components to be considered in the
distributed logging system.
