We humans are (mostly) visual by nature, and having the means to visualize what is happening in a given system can really open up possibilities. Without the right tools we are often in the dark, quite literally.
The definition of observability is “the ability to measure the internal states of a system by examining its outputs”. For software systems, this means the ability to get detailed diagnostic data from the software during operation.
Later this fall, Percepio will release Detect, a powerful quality and testing tool designed to enhance systematic testing and observability for embedded software developers. A pre-release version will soon be made available through Percepio’s Detect Early Access Program.
You hear us at Percepio talking about Observability a lot. Let me share with you the reasons we are putting so much emphasis on our Continuous Observability solutions.
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.
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