Launching mvps for it startups: python/django/postgresql in location-tracking applications
Volodymyr Franiv, Sviatoslav Zastavskyi, О. С. Кушнір · Computational Problems of Electrical Engineering · 2024
In this study, we develop and evaluate performance of a location-tracking application built using a Python/Django/PostgreSQL stack. Through rigorous experimentation and its analysis, we scrutinize the efficiency of WebSocket connections in facilitating real-time commun¬ication and data retrieval. By comparing our findings with the previous research results available on an ASP.NET stack, we contribute to understanding of the technologies for stack selection and the strategies used for optimization of the location-tracking applications. Our results offer valuable guidance for the developers striving to create robust and scalable solutions in this burgeoning domain.