Session Name: Jupyter as Incident Response Tool
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.
Speaker Bio:
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.
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