How to Detect Anomalies in RTOS Applications

If you work with embedded software, you have probably encountered many anomalies over the years. Unexpected deviations in the software behavior, big or small, that may indicate elusive software issues, malfunctioning hardware or even cybersecurity attacks. Such anomalies may cause major problems if not detected and resolved quickly.

Join this webinar to learn best practices for detecting anomalies in RTOS application behavior. You will also gain insight how anomaly detection can be deployed to provide diagnostic data for remote analysis and debugging, both during system testing and in deployment at scale.

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Live Q&A - How to Detect Anomalies in RTOS Applications

Live Q&A with Dr. Johan Kraft for the talk titled How to Detect Anomalies in RTOS Applications

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Finding Needles in the Haystack - Device Observability and Anomaly Detection

Due to the risk of software defects and vulnerabilities, effective means for detecting and analyzing behavioral anomalies in device software is key for ensuring secure and reliable operation. Traditional logging is however not effective for large-scale deployments. Watch this presentation to learn about an alternative approach where anomalies are detected directly in the device and reported in a structured way to ensure nothing is missed. This allows for providing detailed information when it matters, while keeping the overall data uploads to a minimum. The presentation is concluded by a demonstration.

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Painless Multithreading: How to Verify RTOS Best Practices in Runtime

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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Live Q&A - Painless Multithreading: How to Verify RTOS Best Practices in Runtime

Live Q&A with Dr. Johan Kraft for the talk titled Painless Multithreading: How to Verify RTOS Best Practices in Runtime

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The Device Feedback Loop - What does it mean for IoT Operations and Development?

Join this interactive session with Percepio founder Dr. Johan Kraft and learn why the IoT industry is embracing the idea of a Device Feedback Loop to safeguard IoT operations. Based on interviews with senior stakeholders at leading OEMs, examples of relevant metrics are provided to illustrate how monitoring them could help your business. Afterwards, you are welcome to join an open discussion in the Q&A session where you can hear additional views from other attendees and share your own experiences.

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The Device Feedback Loop - What does it mean for IoT Operations and Development?

Join this interactive session with Percepio founder Dr. Johan Kraft and learn why the IoT industry is embracing the idea of a Device Feedback Loop to safeguard IoT operations. Based on interviews with senior stakeholders at leading OEMs, examples of relevant metrics are provided to illustrate how monitoring them could help your business. Afterwards, you are welcome to join an open discussion in the Q&A session where you can hear additional views from other attendees and share your own experiences.

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Using Visual Trace Diagnostics to Uncover Hidden Issues (2020)

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)

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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