Interesting example of using Jupiter Notebook to visualize performance data gathered from Solaris operating system. In this particular case (real scenario) it allowed us to confirm the issue we were suspecting was related to Solaris scheduler interfering with processor pools and Solaris zones.
I find Jupyter Notebook useful to process, analyze and visualize performance data from operating system, database or any other source. Hopefully my time allows showing some examples of it soon. For now I’m describing how to prepare environment for such analysis – and it involves docker again.