When using Percepio Tracealyzer and TraceRecorder, you may have noticed that thread names show up automatically, while other kernel objects (like queues or semaphores) are only displayed as hexadecimal numbers. But in the demo traces, all kernel objects have proper...
FreeRTOS 11 introduced symmetric multi-processing (SMP) support in the mainline kernel, meaning a single FreeRTOS kernel is managing multiple processor cores. Percepio Tracealyzer has supported FreeRTOS for many years and we have now verified the support FreeRTOS 11, including SMP systems.
There have been significant improvements in Tracealyzer over the last years. If you haven’t tried it in a while—or if you’re just getting started—here are some tips and tricks that can be handy when analyzing your FreeRTOS applications. As you may know, the...
In the late summer of 2021, a small, team of electronics students at the Technical University of Munich faced a challenge – to construct their very first in-house designed flight computer entirely from scratch. Fortunately, Tracealyzer was there to help.
Tracealyzer version 4.8.2 has just been released. This version mainly fixes bugs, such as custom state machine models not being remembered on trace reload, and eliminates a number of compiler warnings in the Recorder source code.
DevAlert 2.0, a major upgrade to Percepio’s edge observability platform, provides improved diagnostic capabilities, including core dumps for Arm Cortex-M devices. This allows for remote inspection of crashes, errors or security anomalies in full detail.
Tracealyzer® version 4.7 in now available for download and evaluation. This is a big feature update with several new capabilities and major improvements. Observability for any C/C++ software: Percepio’s TraceRecorder library can now be used with any C/C++ software...
Version 4.3.8 of Tracealyzer updates the target-side recorder to work with the most recent version of FreeRTOS, v10.3, and adds two new hardware ports.
Percepio announces Tracealyzer version 4.3 with new features for state machine analysis, stack usage analysis for Amazon FreeRTOS and major performance improvements when working with large traces.
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