This thesis deals with the development of a smart parking system using modern containerization and container orchestration technologies. The system enables automated recognition of vehicle license plates, management of entry and exit ramps, and keeping records of parking transactions, thereby optimizing parking management and improving the user experience. The thesis provides a detailed description of the design, implementation, and evaluation processes of the system, including an analysis of the required equipment and software as well as comprehensive implementation instructions. The application of containerization ensures the isolation and independence of applications, while container orchestration allows efficient management of distributed applications, achieving scalability and ease of management. All details and sources of the implementation of the server layer, user layer, and Raspberry Pi embedded computer can be found at: https://github.com/stela88/smart-parking-cloud, https://github.com/stela88/smart-parking-frontend, and https://github.com/stela88/smart-parking-raspberry-pi-app