# A framework to monitor activities of satellite data processing in real-time

## TL;DR

The paper introduces Live Monitor, a real-time framework for monitoring satellite data processing activities at SMDC, enhancing data quality control and timely error detection for space weather modeling.

## Contribution

It presents a novel real-time monitoring framework with a web interface and notification system, specifically designed for satellite data processing in space weather applications.

## Key findings

- Real-time activity visualization on a web interface.
- Automated error notifications via email and Telegram.
- API support for customized monitoring solutions.

## Abstract

Space Monitoring Data Center (SMDC) of SINP MSU is one of the several centers in the world that collects data on the radiational conditions in near-Earth orbit from various Russian (Lomonosov, Electro-L1, Electro-L2, Meteor-M1, Meteor-M2, etc.) and foreign (GOES 13, GOES 15, ACE, SDO, etc.) satellites. The primary purposes of SMDC are: aggregating heterogeneous data from different sources; providing a unified interface for data retrieval, visualization, analysis, as well as development and testing new space weather models; and controlling the correctness and completeness of data. Space weather models rely on data provided by SMDC to produce forecasts. Therefore, monitoring the whole data processing cycle is crucial for further success in the modelling of physical processes in near-Earth orbit based on the collected data. To solve the problem described above, we have developed a framework called Live Monitor at SMDC. Live Monitor allows watching all stages and program components involved in each data processing cycle. All activities of each stage are logged by Live Monitor and shown in real-time on a web interface. When an error occurs, a notification message will be sent to satellite operators via email and the Telegram messenger service so that they could take measures in time. The Live Monitor's API can be used to create a customized monitoring service with minimum coding.