Jupyter is commonly thought of as a "data science tool". But the same features that make it appealing to data scientists make it appealing for Site Reliability Engineering: dynamic exploration and ability to share results. The talk will set up an "incident" where a cache slowdown is causing site problems, and will show how we can use Jupyter to triage and remediate the problem. I'll also cover post-incident best practices: how to make sure that what has been done is properly documented and ready for the incident retrospective.
Moshe has been using open source software since 1995 and has been using Python as his main development language since 1998. He has been a contributor to CPython, is a founding member of the Python Software Foundation, and a founding member of the Twisted project.