RTOS applications rarely fail because a single task is misbehaving. Instead, problems emerge from interactions that are often invisible at the code level.
Premium car manufacturers like BMW – companies with strong internal development expertise and decades of software experience – are investing in modern development tools to manage the growing complexity of today’s vehicle architectures.
One question I’m often asked—and one I often ask myself—is, “How many people are currently involved in developing embedded systems?” Counting engineers is a slippery problem (especially mechanical engineers, because they are often dripping in oil). I’d hazard a guess that there are probably between 2 and 4 million embedded professionals globally (depending on how we define ‘embedded’ and ‘professionals’), including both hardware designers and software/firmware developers.
Now I have another question for you. How many embedded system development teams around the world are using the tools from Percepio? The answer to this one is easy: “Not as many as there should be!”
The automotive industry is quietly undergoing a structural transformation that is every bit as significant as the move from carburetors to electronic fuel injection or from mechanical steering to drive-by-wire. The rise of the software-defined vehicle (SDV) is reshaping OEM business models, engineering practices, and supply chains at a speed that only a few years ago would have seemed improbable.
In this new reality, even premium manufacturers such as BMW – companies with deep in-house engineering capability and long-established software competencies – are making strategic investments in modern development tools to support increasingly complex vehicle architectures. Their recent decision to adopt Percepio’s runtime observability technology is more than a single OEM upgrading a single capability; it’s part of a broader shift that is becoming visible across the industry.
In a case highlighted by debug specialist Percepio, a company building HVAC systems found, once again, a low-importance task failing to compete as expected. Once again, a watchdog timer reset the device. Without logs of what happened, they just looked like random reboots. With data captured by the targets themselves, developers obtained the clues they needed to create a fix.
…This kind of in-field observability is clearly not new. But it is taking on greater importance thanks to the proliferation of networked devices.
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