Operations | Monitoring | ITSM | DevOps | Cloud

Tracealyzer. You can’t stay in the wonderful world of debugging and profiling code without hearing the name. If you look at Percepio’s website, it is compared to the oscilloscopes of embedded code. Use it to peek deep inside your code and see what it does. Of course, the code receives an interrupt and checks a CRC before sending the data through SPI, but how does it do it? And how long does it take?

As your apps scale, testing can become repetitive, manual, and time-consuming, leading to slower release cycles and lower-quality code. Sofy is a SaaS platform that enables you to create and run automated tests on your mobile apps without writing any code. Sofy will automatically test your mobile apps on real iOS and Android devices, so you can optimize their performance and debug end-user experiences without setting up or maintaining your own test infrastructure.

Using Tracealyzer to view applications running on Zephyr RTOS comes with a special challenge: unlike some other microcontroller-oriented real-time operating systems, Zephyr exposes its kernel services via a syscall layer. A syscall is essentially a way to programmatically communicate with the operating system kernel from user level code.

Technical folks in OSS communities often find themselves in permanent learning mode. Technology changes constantly, which means learning new things — whether it’s a new feature in the latest OSS release or an emerging industry best practice — is, for many of us, simply a natural part of our jobs. This is why it’s important to think about how we learn, and improve the skill of learning itself.

Machine Learning (ML) for Root Cause Analysis (RCA) is the state-of-the-art application of algorithms and statistical models to identify the underlying reasons for issues within a system or process. Rather than relying solely on human intervention or time-consuming manual investigations, ML automates and enhances the process of identifying the root cause.