The aim of this master’s thesis is to create a dashboard application for predictive maintenance of mechatronic systems. The first part of this work deals with the analysis of tools for creating web applications. The libraries and frameworks that currently dominate the market are compared here. Both frontend and backend tools are analyzed. Another area of this analysis is cloud computing and thus the selection of a suitable provider and the selection of suitable services it provides. Final part of the analysis deals with mechatronic devices which are going to be used during the implementation of the dashboard application. The second part of the thesis deals with the design, implementation and testing. The design includes UML diagrams and application requirements. The next step was to create communication between the individual services of the Google Cloud Platform and then, communication with the device. Implementation and testing were a key phase of the dashboard application development. The app was developed in the WebStorm IDE using the React. The Node.js environment was used to create the backend of the application. The result of this thesis is a dashboard application for predictive maintenance of mechatronic systems.