HTTP

Launching mvps for it startups: python/django/postgresql in location-tracking applications

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 commun­ication 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.

Selection of protocols for data transmission from internet of things devices to cloud providers

The Internet of Things (IoT) enables the creation of networks between devices, people, applications, and the Internet, creating new ecosystems with higher productivity, better energy efficiency, and higher profitability. Nodes in these networks must have the ability to communicate and exchange data, which requires the use of data transfer protocols. However, choosing the right protocol for a specific use case is not always straightforward.

PROTOCOLS COMPARISON FOR REAL-TIME DATA STREAMING FROM IOT DEVICES TO A CLOUD-BASED SOLUTION

The proper detection and prevention of malfunctions are crucial in mitigating maintenance costs and equipment replacements for agricultural vehicles, ultimately reducing the expenses associated with crop cultivation. Predictive analytics for agriculture vehicles leverage machine learning and sensor data to anticipate equipment faults, optimize maintenance schedules, and enhance operational efficiency in the farming industry.