Percepio Tracealyzer is a visual runtime analysis tool for embedded and real-time software. It records and visualizes the dynamic behavior of a running system, helping developers understand what happens over time — not just what the software looks like at a particular breakpoint.
Traditional source-level debugging is indispensable during embedded development. But in multitasking and event-driven systems, many problems depend on timing, task scheduling, interrupts, communication and interactions between different parts of the software. These relationships can be difficult to understand by stepping through source code alone.
Tracealyzer adds another perspective by recording and visualizing the dynamic behavior of the running system over time.
Tracealyzer records software events while the embedded application is running and presents the resulting trace through graphical views and analyses.
Developers can see task execution, interrupts, RTOS events, application events and timing relationships in their actual sequence over time.
This makes it possible to investigate questions such as:
Instead of reconstructing system behavior from individual breakpoints and assumptions, developers can examine what actually happened during execution.
Some of the most time-consuming embedded software problems are not permanent failures.
They occur only under particular timing conditions, after extended operation or as a result of interactions between several tasks and events.
Tracealyzer can record runtime behavior over extended periods and provides multiple perspectives for navigating and analyzing the resulting trace data.
This can help developers identify sporadic errors, timing problems, unexpected task interactions and performance bottlenecks that may be difficult to reproduce using conventional debugging techniques alone.
Tracealyzer therefore complements your existing debugger rather than replacing it.
Tracealyzer is a powerful tool for understanding embedded software during development, integration and testing.
But runtime insight does not necessarily have to end when an individual analysis session is finished.
Within Percepio's broader Continuous Observability approach, Tracealyzer provides the deep visual runtime analysis that helps developers understand system behavior.
Detect can continuously monitor selected runtime characteristics and identify anomalies when the system begins to behave unexpectedly.
DevAlert can bring diagnostic information from testing and deployed devices back to the development organization.
Together, these technologies extend observability beyond individual debugging sessions and create an overarching feedback loop: Observe → Detect → Understand → Improve → Repeat
Insights from the running system can therefore be fed back into development — during integration and testing and, where required, from systems operating in the field.
Tracealyzer is software-based and can capture trace data using different methods depending on the target system, RTOS and development environment. It can operate alongside existing development and debugging tools and does not depend on a dedicated hardware trace interface. Tracealyzer supports a wide range of embedded operating systems and platforms.
Tracealyzer also integrates with debug probes such as SEGGER J-Link, providing an interesting combination for development environments already using J-Link for target access. Trace data can be captured using streaming or RAM-buffer-based methods, depending on the target system and application requirements.
This allows developers to add visual runtime analysis to an existing toolchain without replacing the tools they already use.
Within Continuous Observability, the role of Tracealyzer can be summarized in one word:
Tracealyzer - UNDERSTAND
Deep visual analysis of runtime behavior
Detect - RECOGNIZE & CAPTURE
Continuously recognize stability risks and capture diagnostic evidence when problems occur.
DevAlert - FEEDBACK
Feedback diagnostic information from testing and deployed devices back to development.
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Features, supported platforms and detailed product information:
Update: August 30th, 2026
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