The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.

Majority of software systems in business use, known as legacy systems, have monolithic structure hard to maintain and upgrade with new features. The most common option to overcome this situation is reengineering of existing software systems, which can be perform in different ways and with different outcomes. One of the recent most popular approaches is migration to microservices architectures, which makes distribution of software functionalities in small and independent units possible. Each unit, called microservice is self-contained and independent, which makes system manipulation and modification easier. Several methods for migration to microservice architecture have recently been proposed. This article presents a review of methods for migrating existing systems towards microservices. In addition, this article presents software artifacts affected by migration methods and used algorithms. Implications and benefits of the presented study, as well as validity issues are discussed, followed with concluding remarks and future research directions.