Addressing Challenges with the Cloud

MBSE is here to bring agility with high quality products by providing models and single source of truth. The aforementioned functionalities and challenges of MBSE require wide variety of technologies.

Hereby, cloud brings the fundamental value propositions such as on-demand resources, stop guessing the capacity with elasticity, cost effectivity with pay-as-you-use and economics of mass, wide-selection of up-to-date technologies, experimentation culture with IaS (Infrastructure as Software), going global and elasticity.

The cloud-first approach benefits not only MBSE developers also the engineering companies who adopt MBSE as a tool – staying at the center of engineering operations. MBSE developers can provide solutions with the state-of-the-art technologies, as going to be mentioned in this whitepaper, such as using serverless technologies to compute and databases.

A serverless approach can remove administrative tasks and provide a granular way of offering “pay-as-you-use”. This is especially useful for MBSE, which is mostly transactional where an event driven architecture that can provide potential cost savings.

Similarly, a microservices approach can further decouple functions and services to bring reliability and high availability. For example, standardization of messaging and ontology can be performed using cloud native standards such as Restful APIs and JSON payloads, respectively.

Moreover, an IaS approach can further provide agility to your IT and even engineering teams who can “get the functionality whenever necessary”.

MBSE practitioners are in industries with complex product developers, where many suppliers work on the same project joining all around the world. Globally distributed edge locations globally while focusing on data residency requirements in specific geographies is easy with cloud.

You can deploy edge locations to bring low-latency MBSE applications while dedicating data residency locations in your desired locations.

With AWS, you can even employ AWS Outpost to leverage your existing offices and local datacenters while using cloud technologies. This approach brings elasticity, speed and reliability compared to a silo-ed MBSE solution.

The virtually unlimited storage of cloud brings scalability to MBSE. You can also deploy hybrid solutions with primary storage being the cloud (or the secondary being the cloud) while still using your on-premises infrastructure.

The final advantage of the cloud is sustainability. According to the Amsterdam-based GRI (Global Reporting Initiative), the disclosures of Environmental, Social and Governance (ESG) have now become the mainstream regarding assessment of organizational performance.

As a part of Amazon Sustainability Data Initiative (ASDI), at AWS, we are committed to running our business in the most environmentally friendly way possible.

As of 2018, AWS had already received 50% of its energy from renewable resources and AWS is committed to get 100% of energy from renewable energy by 2025. So you can reduce your carbon footprint by moving to cloud and AWS.

Complex discrete manufacturing Industries are facing increasing global regulation including sustainability targets, and increased pressure to decrease time to market for new product introductions.

Hence, increasing productivity while complying with sustainability goals can be applied to scale applications, such as MBSE/MBE, which spans over manufacturing, design, edge locations, devices and more. Leveraging renewable energy resources with AWS for your MBSE/MBE infrastructure can help you to commit your sustainability goals.