Percepio has been awarded the prestigious Elektra Award 2021 for its visual trace diagnostics tool Tracealyzer for Linux.
Percepio Wins Coveted Elektra Award for Tracealyzer for Linux
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Tracealyzer
Percepio Brings Big Debugging Boost for Microsoft Azure RTOS ThreadX Developers
Nov 17, 2021
Percepio today announced improved support for Microsoft Azure and Azure RTOS ThreadX in Tracealyzer.
Tracealyzer v4.5.3 Is Out
Nov 8, 2021
We just released Tracealyzer version 4.5.3, with a number of bug fixes for both application and recorder.
Tracealyzer v4.5.2 Is Out
Oct 26, 2021
We just released Tracealyzer version 4.5.2, with stability and layout improvements for Tracealyzer running on Linux hosts.
Percepio Launches Free Monthly Webinar Series Loaded with Debugging Tips
Sep 28, 2021
Percepio today announced Runtime Insights, a monthly webinar and roundtable about embedded and IoT software development.
Tracealyzer v4.5.1 Is Out
Sep 14, 2021
We just released Tracealyzer version 4.5.1, with major stability and rendering improvements for Tracealyzer running on Linux hosts.
Video: All the News In Tracealyzer 4.5
Jul 6, 2021
Two weeks ago we released version 4.5 of Percepio Tracealyzer with a lot of new features in it. Now you can watch Percepio FAE Kristoffer Martinsson as he presents the new features in this video.
Prepare for a soft landing
Jun 28, 2021
Swiss student rocket team ARIS from Zürich leverages visual trace diagnostics to smooth the trajectory of its autonomous rocket recovery system.
Tracealyzer v4.5 Is Out
Jun 15, 2021
We have released Tracealyzer version 4.5 with support for Espressif’s ESP32 MCUs and for Zephyr RTOS, with other improvements as well.
Percepio Releases Tracealyzer v4.5 with Support for ESP32, Zephyr, and More
Jun 15, 2021
Percepio today announced Tracealyzer version 4.5 with support for the Espressif ESP32 MCU, the open-source Zephyr RTOS, improved integration with Lauterbach uTrace, and a range of other enhancements.
Using Tracealyzer to Evaluate Python Algorithms in Linux
Jun 3, 2021
In this blog post, we will see how Tracealyzer can be used to quickly and efficiently evaluate multiple implementations of an algorithm in Python, a language that is becoming more common in embedded application development as most machine learning frameworks are implemented in Python.
Understanding the impact of compiler options on performance
May 27, 2021
In this post, we’re going to understand how the combination of LTTng and Tracealyzer can shine light on how compiler options impact performance. The method discussed can come in handy whenever we are evaluating the performance of multiple candidate implementations of a particular feature.
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