Percepio Detect 2026.1 Adds Runtime Observability Tool
The new software enables diagnostic snapshot capture for Zephyr RTOS systems to help developers identify timing irregularities.
Updated on Oct. 23, 2026 in Software
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Percepio AB has released Percepio Detect 2026.1, a new runtime observability solution for embedded systems running the Zephyr RTOS. This software allows developers to capture diagnostic snapshots and monitor system behavior to identify software anomalies.
Why it matters
As embedded systems grow in complexity, runtime observability provides the necessary visibility to diagnose intermittent timing issues and failures that are difficult to replicate in testing environments.
The 2026.1 release supports programmatic core dump triggering on Arm Cortex-M devices and integrates with Tracealyzer for visual analysis. It tracks CPU activity across threads to identify timing irregularities.
The players
Percepio AB
A developer of runtime observability and visualization tools for embedded software systems.
Nordic Semiconductor
A designer and manufacturer of low-power wireless SoCs and embedded development hardware.
STMicroelectronics
A global semiconductor company providing a wide range of microcontrollers and embedded development platforms.
The details
Percepio Detect operates by monitoring system behavior and recording compact diagnostic snapshots—collections of data that document the state of a system—when anomalies occur. Developers use API calls to preserve the active function call stack and runtime context during errors. This includes system traces, application logs, and core dumps, which can be analyzed to pinpoint the source of a fault.
Timeline
Percepio Detect 2026.1 became available in October 2026.
The Tech Race
This release expands the diagnostic toolkit for the Zephyr RTOS, aligning with the industry drive toward robust embedded observability. It builds on established visual analysis workflows to better support complex development environments.
Embedded developers can immediately integrate this solution into existing workflows on supported hardware from vendors like Nordic Semiconductor. It primarily benefits teams debugging complex timing irregularities or intermittent faults in Zephyr-based applications.
The takeaway
Runtime observability is poised to integrate with AI-assisted software development to provide automated feedback on execution behavior. Developers should track future updates regarding compatibility with additional processor architectures beyond Arm Cortex-M.
Further reading
Learn more about the latest development tools in our Software section.
More information
Access the technical documentation and obtain the Percepio Detect evaluation download.
Source note: This article includes information reported by Electronics For You - Official Site ElectronicsForU.com.
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Do you believe automated software development requires more rigorous runtime monitoring for code quality?
