Model Monitoring is the process of monitoring a computer model, such as a software program, hardware appliance, or other system, for changes, malfunctions, or any other significant occurrences. This process often involves the use of automated diagnostic tools and other software applications that are designed to detect such occurrences.
The goal of model monitoring is to enable rapid response and resolution to any significant change or malfunction, so as to prevent service disruption and to limit the impact of any changes or faults that may occur. The process usually involves collection and analysis of data regarding the performance of the model. The data can include user input, system performance metrics, software and hardware configurations, plus any other related variables.
The process of model monitoring can also include maintaining the model so that it is secure and up-to-date, as well as running tests and simulations to evaluate potential impacts of hardware and software changes. This is especially important in industries that rely on the accuracy of the model, such as weather forecasting, climate research, and air traffic control.
Model Monitoring is also important for any system that is outside the developer’s direct control, such as cloud services or client-side scripts. In these cases, it is possible that changes may occur without the knowledge of the developer, and hence it is important to have a system in place to detect and address such changes.
Overall, model monitoring is an essential component of any system that must maintain reliability, integrity, and performance. By utilizing automated tools and providing modern diagnostics, businesses and developers can ensure that their models are up-to-date, resilient, and secure.
