The rapid development of technology, and increasingly available and affordable sensors are leading to the creation of huge amounts of data, especially in the realm of the Internet of Things. In addition to data growth, customer expectations regarding data processing are also growing. Working with such a large amount and complex algorithms is not very simple, so it requires a lot of computing power and resources, which entails an increase in costs. It is for this reason that platforms for the Internet of Things have emerged. Their goal is to reduce these costs, and offer us opportunities that we can not achieve on local servers. With great computing power and well-secured systems, the platforms offer us easy management of our devices and generated data. Thus, we have various tools at our disposal such as data processing and analysis tools, as well as functions and tools for the automation of our systems. The paper describes the basic functionalities of cloud computing and the Internet of Things platform, and additionally makes an analysis by layers of the currently most used platforms in the world. As an illustrative example as part of the practical part of the work, a solution for monitoring data on temperature, humidity, and condition of the front door inside the server room was implemented using the Azure platform.