Quite a few embedded software developers don’t know whether their applications meet their timing requirements. In today’s Tracealyzer Hands On post, we will explore how to use Tracealyzer to verify task timing and scheduling.
Have you ever seen your embedded system behave strangely and had that sinking feeling that you might have a memory leak? Tracealyzer offers several different methods to detect memory leaks.
What if you want to visualize some application data in Tracealyzer, measure the time between two events or monitor a state machine? In this post, we will show how you can set up this kind of custom logging.
In the previous Hands On post we introduced the concept of intervals, which is the time between any two events and can be added to the timeline. In this post, we will take the interval one step further and see how we can use Tracealyzer to monitor state machines.
In this post, we visualise the custom interval and state machine information available in Tracealyzer and explore how we can use it to better understand our application.
Within Tracealyzer’s trace view, tasks, events and state machines are now organized into view fields, collections of tasks, intervals or events. In this post, we are going to examine how you can use those views to simplify working with Tracealyzer.
We have had a few customers asking us if they can use Tracealyzer to detect when a task holds two mutexes at the same time. The answer is yes, there are in fact several ways you can do this.
FreeRTOS, an ST microprocessor and Tracealyzer are some of the building blocks for this rocket, built by Swiss students and named after the equally Swiss mathematician Euler.
Today’s post dives into a key component of a Linux device driver, the interrupt handler, and shows how Tracealyzer can give you feedback on the performance of your handler.
While there are mechanisms native to the Linux kernel to ensure that the functionality of a custom-written driver is correct, evaluating performance is not straightforward. Here’s how you can use Tracealyzer for Linux to assess the performance and identify any deficiencies.
FreeRTOS, an ST microprocessor and Tracealyzer are some of the building blocks for this rocket, built by Swiss students and named after the equally Swiss mathematician Euler.
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