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TraceRecorderSource

C ★ 0 updated 1y ago ⑂ fork

Source code for the Trace Recorder library that captures runtime activity from embedded systems so it can be visualized in Percepio's Tracealyzer diagnostic software for debugging timing issues.

CEmbedded SystemsTracealyzersetup: moderatecomplexity 3/5

This repo provides the source code for Trace Recorder, a tool that works with Percepio's Tracealyzer software. Tracealyzer is a visual diagnostic tool for embedded systems — the small, specialized computers that power things like car controllers, medical devices, and IoT gadgets. The recorder component acts as the bridge: it runs on the device and captures detailed data about what the system is doing, then that data gets visualized in Tracealyzer so developers can see exactly how their software behaves over time.

At a high level, the recorder hooks into an embedded system's operating system (or runs standalone) and logs events as they happen — things like when tasks switch, when interrupts fire, or when messages get passed between different parts of the program. This creates a timeline of activity that would otherwise be invisible. The recorded trace data can then be transferred to a computer and opened in Tracealyzer, which renders it as an interactive visual dashboard showing the sequence and timing of everything that occurred.

The people who would use this are firmware or embedded software engineers who are developing real-time systems and need to debug tricky timing issues. For example, if a robot's motor controller occasionally stutters or a smart thermostat has a delayed response, the developer can use Tracealyzer to look at a visual trace and pinpoint where the bottleneck or unexpected behavior is happening. It turns a "it works most of the time but sometimes doesn't" problem into something you can actually see and investigate.

The README itself is minimal, pointing readers to Percepio's website for setup guides and documentation. The actual repository contains C source code meant to be integrated into an embedded project. For anyone who already uses or wants to evaluate Tracealyzer, this is where you'd grab the recorder library that makes the whole visualization pipeline work.

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