Embedded Computing Design

Embedded software development faces many challenges. Teams are under pressure to build increasingly sophisticated systems in less time. Many of them involve more complex and less predictable behaviors thanks to the inclusion of features that harness machine learning and artificial intelligence (AI). But, unlike counterparts in enterprise software development, embedded systems need to meet stringent safety, security, and reliability requirements.

I’ve spent years supporting organizations that develop embedded software for industries like automotive, aerospace, industrial, rail, and medical devices. In these industries, even a minor software flaw can lead to catastrophic outcomes.

Containers are an evolutionary standardized and portable packaging technology. They were first introduced for web applications and microservices development and deployment, gaining wide adoption in the IT industry.

For the past 5 years, most car manufacturers have incorporated advanced hardware capable of providing driver-assistance capabilities, such as automated steering, breaking, adaptive cruise control, automatic parking, collision avoidance, lane change assistance, and much more.

Software development projects for embedded systems are faced with a variety of challenges.