Abstract
Effective deployment solutions are essential for maximizing the capabilities of Internet of Things (IoT) devices and platforms. This study proposes a technique for enhancing the management, monitoring, and deployment of Internet of Things (IoT) devices, focusing on Dynamic RESTful APIs and Docker technologies. The suggested framework emphasizes reliable interaction and real-time flexibility between IoT devices and deployment infrastructures via a Dynamic RESTful API, combined with the deployment convenience given by Docker's lightweight containerization. The framework's applicability in real-world contexts was tested using an ESP8266 NodeMCU microcontroller and Raspberry Pi, both coupled with DHT11 sensor used to measure temperature and humidity readings. The devices' own ability to interact via built-in Wi-Fi, which enables data transfer and storage via HTTP requests, demonstrates the framework's usefulness in managing and deploying IoT devices. Furthermore, the API's dynamic nature, which allows for endpoint updates without requiring software modifications, provides an important feature for adaptive device behavior, solving key difficulties in IoT deployment, such as scalability and environmental condition changes. The results highlight the dynamic API's broad application and adaptability across various IoT devices, demonstrating its flexibility. This work adds to the body of knowledge on effective IoT deployment techniques while also laying the groundwork for future industry developments by establishing a framework for managing and deploying IoT devices.