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Dr. Johan Kraft

Dr. Johan Kraft is CEO and founder of Percepio AB. Dr. Kraft is the original developer of Percepio Tracealyzer, a tool for visual trace diagnostics that provides insight into runtime systems to accelerate embedded software development. His applied academic research, in collaboration with industry, focused on embedded software timing analysis. Prior to founding Percepio in 2009, he worked in embedded software development at ABB Robotics. Dr. Kraft holds a PhD in computer science.

Verifying RTOS Best Practices in Runtime

Status: Coming up in May 2021!

Developing reliable and performant RTOS applications is easier said than done, and is greatly facilitated by a solid software design that follows best practices in RTOS application development. While an RTOS makes it easier to develop more advanced applications, the use of multithreading brings new challenges in software design, verification and debugging. Such issues are often not apparent in the application code.

In this presentation, we will discuss a selection of best practices in RTOS-based software design and the concept of visual trace diagnostics. Finally, we will explore how visual trace diagnostics can be used to analyze the software design and detect deviations from best practices.

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Using Visual Trace Diagnostics to Uncover Hidden Issues (2020)

Status: Available Now

Embedded IoT software is often multi-threaded, event driven, and resource-constrained. This increases the difficulty of IoT software development and calls for better means for debugging, beyond the limited scope of traditional debugging tools.

Software event tracing can improve IoT software development by providing a timeline of the overall software activity. This is very useful information for debugging, profiling and for finding software design flaws. Tracing can be performed entirely in software and remain active over long durations. It can even be used in deployment.

However, tracing produces lots of repetitive data. When debugging, you need to find a small number of anomalies. This can be like searching for needles in a haystack.

The human brain is visual and excels at pattern recognition. Visual trace diagnostics makes it possible to leverage this capability to make the anomalies stand out. This builds on software event tracing, but refines the data into a rich, meaningful model and visual overviews that makes it easy to spot anomalies. The result is quick, intuitive comprehension, even for large traces. This approach is invaluable in system-level debugging and for finding software design flaws.

Join Dr. Johan Kraft as he explores visual trace diagnostics and presents real-world examples of its use in locating and solving hidden software issues.

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Continuous Software Improvement with IoT Device Monitoring and Visual Trace Diagnostics (2020)

Status: Available Now

Even the best developers cannot anticipate all the issues that may occur in deployed Internet of Things (IoT) devices: elusive software bugs, hardware glitches, algorithms that do not perform as well as intended, and user-interface issues. DevAlert enables continuous software improvement, so you can build flawless products through data-driven product improvements and the rapid resolution of remaining issues that would otherwise harm data integrity, device availability, battery life, and the overall user experience. Instead, IoT device monitoring and visual trace diagnostics adds an essential layer of defense to reduce support costs and increases sales revenue—and may even prevent accidents, product recalls and legal action.

Join Dr. Johan Kraft as he explores IoT device monitoring and remote diagnostics and demonstrates Percepio's DevAlert service.

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Live Q&A - Using Visual Trace Diagnostics to Uncover Hidden Issues (2020)

Status: Available Now

Live Q&A with Johan Kraft, following his talk 'Using Visual Trace Diagnostics to Uncover Hidden Issues'

Go to Session


Live Q&A - Continuous Software Improvement with IoT Device Monitoring and Visual Trace Diagnostics (2020)

Status: Available Now

Live Q&A with Johan Kraft following his talk titled 'Continuous Software Improvement with IoT Device Monitoring and Visual Trace Diagnostics'

Go to Session