The use of monitoring systems in the additive manufacturing process brings new opportunities to this manufacturing technology. An example is the integration of sensor systems controlled via an Arduino microcontroller for 3D printing diagnostics, resulting in enabling process monitoring and real-time data collection. Analysis of data collected from these devices shows that monitoring devices can analyze important parameters such as temperature, humidity, and material placement accuracy, providing important information for process optimization and error prevention. The main result is increased production efficiency and reliability, which leads to reduced time and financial costs. The results of this data analysis can be implemented into practice to improve the management of production processes and increase the quality of manufactured products. The article describes the design and application of a sensory monitoring solution using three types of sensors implemented in a selected 3D printer. Based on the experiments carried out and the data obtained by measuring the data with the designed monitoring solution, it is possible to monitor 3D printing and subsequently adjust the process parameters or calibrate the printing device to achieve the required production accuracy.