With the rising complexity of embedded systems and the difficulty in finding hidden bugs, observability tools seem to be the new alternative for developers. It shows what is happening in real time. What do the innovators say?
As the automotive industry advances toward increasingly software-defined vehicles, the complexity of embedded systems is rising dramatically. From electrified powertrains to autonomous features and over-the-air updates, modern vehicles now function as distributed computing platforms with strict real-time constraints and safety-critical responsibilities.
In this landscape, ensuring software correctness, reliability, and traceability is no longer a late-stage testing concern, it must be a continuous effort. This is where the concept of continuous observability becomes essential.
Das Tool Tracealyzer von Percepio unterstützt BMW ab sofort dabei, die Softwareleistung in der IP-Basis-Integrationsplattform für Karosserie- und Komfortfunktionen in der nächsten Fahrzeuggeneration zu überwachen und zu optimieren.
Firmware on embedded devices can freeze, overload, or behave unpredictably, leaving developers frustrated because traditional debugging tools often miss these issues. Intermittent problems, like a device requiring a power cycle, leave no diagnostic data in RAM, making it hard to understand what went wrong. Timing-related bugs are especially tricky, as standard logs or breakpoints cannot capture missing events.
Percepio announced the release of Detect 2025.2 with new TaskMonitor, a feature designed to automatically identify firmware freezes, overloads, and timing anomalies – issues that often evade traditional debugging tools. Detect 2025.2 builds on Percepio’s self-hosted observability framework, which offers unlimited on-device monitoring and a “security-camera-style” trace capture system that records only when irregular events occur.
In a major deal for the company, Percepio AB’s Tracealyzer embedded system observation platform is now being used by leading automotive brand BMW Group, as it looks to embrace software-defined vehicle (SDV) technology.
Many users have experience with the Tracealyzer tool. The real synergies and unique new capabilities come when using Percepio Detect and Tracealyzer in tandem.
At the University of Toronto Formula Racing team, students are applying professional-grade development practices to their electric race car. In the 2024–25 season, the team migrated its control software to FreeRTOS and adopted Percepio Tracealyzer for real-time insight into system behavior
We are KITcar, a student team at the Karlsruhe Institute of Technology (KIT), and for over a decade, we’ve been building autonomous 1:10 scale model cars … With features like real-time task visualization and memory usage statistics, Tracealyzer looked like the exact tool we needed,
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