Standardization and collaborative integration are fundamental for the implementation of Industry 4.0. The Open Communication Platform Unified Architecture (OPC UA) standard plays a crucial role in communication by enabling the development of heterogeneous systems and facilitating the seamless exchange of data between devices. To take full advantage of OPC UA’s capabilities, it is necessary to unlock other application services, such as cloud computing. By having more tools at their disposal, industries can increase their efficiency and optimize data-driven decision making. In this study, it was proposed to use OPC UA standard in a Client/Server model to leverage OPC UA paradigms along with Software Development Kits (SDKs). The development was carried out using Python as the programming language, both to host the server on a Raspberry Pi 4B and to set up the client on a Personal Computer (PC). This client will centralize the data for sending to the Clever Cloud logging platforms and for web visualization on Tago.IO. The interoperability problem of communicating between two platforms with different Operating Systems (OS) was addressed by integrating the OPC UA standard. The configured interval of 10 s recorded an average of 11.11 s, with a maximum timeout of 59 s for data-logging temperature, pressure, humidity, and altitude. The client proved to be Hypertext Transfer Protocol Secure (HTTPS) compliant, allowing connection to Web platforms.