Today, we’re excited to share how the Joanneum Racing team from the University of Applied Sciences in Graz, Austria, leveraged Percepio Tracealyzer to optimize a custom Battery Management System (BMS) for their electric formula racing car.
When developing embedded software, observability is usually only used reactively, for example during subsequent debugging or through log analysis. It is high time for a proactive approach that is able to catch even sporadic errors early on.
One IoT edge device manufacturer has chosen to preemptively safeguard their products by implementing Percepio DevAlert, a cloud-based observability solution for monitoring IoT edge devices in real time.
Software complexity grows exponentially, developer efficiency grows far slower. Siloed views for development, integration, testing, deployment, and field maintenance leads to massive value being locked in due to lack of comprehensive observability. Development never stops, and that is why we never stop talking about continuous observability.
The right tooling and practices around continuous observability is the developer’s seatbelt for software crashes, and can save you from a lot of pain down the road.
Tracealyzer 4.9 brings improved support for LynxOS-178®, the standards-based RTOS for safety-critical real-time applications from Lynx Software Technologies.
By adding software functionality for continuous observability in a device, diagnostic data can be provided over any I/O interfaces, such as a local UART connection in the test lab or a cloud connection in the field.
We have a time-limited offer for you: order a two-year subscription to Percepio Tracealyzer and you will receive a 40% discount on the second year. This way you can secure uninterrupted use of the best trace visualization and diagnostics tool there is. Offer valid until 31 July.
A few months ago, Andreas Lifvendahl was appointed CEO of Percepio with the brief to accelerate innovation and guide the company through the next stage of growth.
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