  The ASTRI Mini-Array project, led by the Italian National Institute for
Astrophysics, aims to construct and operate nine Imaging Atmospheric Cherenkov
Telescopes for high-energy gamma-ray source study and stellar intensity
interferometry. Located at the Teide Astronomical Observatory in Tenerife, the
project's software is essential for remote operation, emphasizing the need for
prompt feedback on observations. This contribution introduces the Online
Observation Quality System (OOQS) as part of the Supervisory Control And Data
Acquisition (SCADA) software. OOQS performs real-time data quality checks on
data from Cherenkov cameras and Intensity Interferometry instruments. It
provides feedback to SCADA and operators, highlighting abnormal conditions and
ensuring quick corrective actions for optimal observations. Results are
archived for operator visualization and further analysis. The OOQS data quality
pipeline prototype utilizes a distributed application with three main
components to handle the maximum array data rate of 1.15 Gb/s. The first is a
Kafka consumer that manages the data stream from the Array Data Acquisition
System through Apache Kafka, handling the data serialization and
deserialization involved in the transmission. The data stream is divided into
batches of data written in files. The second component monitors new files and
conducts analyses using the Slurm workload scheduler, leveraging its parallel
processing capabilities and scalability. Finally, the process results are
collected by the last component and stored in the Quality Archive.
