Many industries, such as manufacturing, aviation, and power generation, employ sensitive measurement devices to be calibrated by certified experts. The diversity and sophistication of measurement devices and their calibration needs require networked and automated solutions. Internet of Measurement Things (IoMT) is an architectural framework that is based on the Industrial Internet of Things for the calibration industry. This architecture involves a layered model with a cloud-centric middle layer. In this article, the realization of this conceptual architecture is described. The applicability of the IoMT architecture in the calibration industry is shown through an editor application for Scope of Accreditation. The cloud side of the implementation is deployed to Microsoft Azure. The editor itself is created as a cloud service, and IoT Hub is used to collect data from calibration laboratories. By adapting the IoMT architecture to a commonly used cloud platform, considerable progress is achieved to encompass Metrology data and serve the majority of the stakeholders.

This article presents a microservice-based development approach, MSDeveloper (Microservices Developer), employing variability management for product configuration through a low-code development environment. The purpose of this approach is to offer a general-purpose environment for the easier development of families of products for different domains: a domain-oriented development environment is suggested, where domain developers and product developers can utilize the environment as a software ecosystem. Thus, genericity is offered through supporting different domains. A domain is populated with feature and process models and microservices in a layered architecture. Feature models drive the product configuration, which affects the process model and the microservice layer. An experimental study was conducted to validate the applicability of the approach and the usability of the development environment. Students from different courses were assigned system modeling projects where they utilized helper tools supporting the provided methodology. Furthermore, professional software developers were consulted about this recommended domain-oriented development environment. Feedback from student projects and professionals’ remarks are analyzed and discussed.

The calibration industry is renowned for its diverse and sophisticated equipment and complex processes, which necessitate innovative solutions to keep pace with rapidly advancing technology. This paper introduces an enhancement to an existing microservice-based cloud architecture, aimed at effectively managing the inherent complexity within this field. The enhanced architecture seamlessly integrates various equipment types and communication technologies, aligning diverse stakeholder expectations into a unified system that ensures efficient and accurate calibration processes. It highlights the integration of microservices to facilitate various methods of uncertainty calculation and the generation of digital calibration certificates (DCCs). A case study on RF power measurement illustrates the practical application and benefits of the enhanced architecture. Although initially focused on RF power measurement, the flexible architecture allows for future expansions to accommodate new standards and measurement techniques. The enhanced system offers a comprehensive approach to managing data flow from calibration equipment to the final generation of DCCs, utilizing cloud-based services for efficient data processing. As a future direction, this extension sets the groundwork for broader applicability across multiple measurement types, ensuring readiness for upcoming advancements in metrology.