Serverless computing and their use in mobile networks are studied. Today it is impossible to imagine the whole world without calculations. They surround us in all spheres of life - from the usual payment by card in the supermarket to scientific calculations. The main problem of calculations is the growing number of requests and the complexity of providing services. Computing companies that need to constantly increase server bandwidth need to work on network infrastructure and hire professionals to support such systems. All the costs and complexity of developing server systems fall on the developer, which is a very expensive factor for new companies whose activities are related to computing and data processing. To solve the problems, the technology of "serverless computing" is being developed and applied, which is a model of cloud computing. This technology allows you to use resources that do not belong to them physical ly. All problems with setting up and maintaining the equipment are the responsibility of the service providers. Also, with intelligent load tracking, the system automatically allocates the necessary capacity and resources to perform calcula tions at the moment. The main problem with server-free computing technology is not the adaptation to the needs of many industries and the problems with certification and standardization, but they are gradually being solved. Research on the use of such technologies in telecommunications systems is a topical issue in the development of science and com panies in the country. The structure of the mobile operator, LTE technology, the ability to receive and analyze data from subscribers, methods of tracking subscribers in the network by unique identifiers, as well as the ability to transfer the operator's infrastructure to serverless technologies. The issues of data processing, existing methods and technolo gies of Big Data data processing, systems of processing / analysis of big data by operators in Ukraine and systems of tracking and analysis of subscriber traffic are given. Complex solutions in the form of serverless (cloud) technologies, classification of such solutions, review of existing services are considered.