This paper discusses the application of the queuing theory framework to analyze the diagnostic processes of data transmission networks (DTNs). He principles of construction of systems for remote diagnostics of data transmission networks and performance algorithms considered in this article allow us to say that this approach allows solving the problem of the lack of highly qualified service personnel. Diagnosing data transmission network elements is a critical task in ensuring reliable communication and minimizing downtime in modern digital infrastructures. However, the complexity and scale of networks make them prone to diagnostic errors, which can lead to inefficiencies, misconfigurations, or even severe service disruptions. This article explores strategies for preventing such errors by leveraging robust tools, systematic methodologies, and advanced technologies.