The Linux kernel is a complex operating system with lots of asynchronous tasks running at the same time. When the kernel encounters an error, it can print parts of its internal state to console (Linux kernel error message) and also it can save parts of its memory to disk for later manual analysis. An analysis of such error messages or saved memory content requires a trained individual who understands the internal workings and structures of the Linux kernel.
For some time I am working on a tool, that with the aid of machine learning would help Red Hat employees and customers to do initial triage by them self, without need of a technical advisor.
My presentation is about where I got so far, how it internally works and where I am heading in the future.
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