Troubleshooting problems in existing applications is no fun. Worst, it happens at 3AM and creates a time crunch to come up with a solution. Wouldn't it be nice if you could predict these issues before they happened?
Enter modeling. Modeling is a powerful tool for predicting the behavior of an application or system developing and deploying it. Modeling allows you to analyze potential issues before they occur, rather than waiting until something goes wrong. Tweaking the model or its parameters lets you explore your system safely, without risking production changes.

This talk will dives into modeling system behavior using Python with common libraries. Combining simple techniques with visualizations you will be able to study your own applications before you ever built them (or after - that works too!)

Adopting a modeling mindset to existing and new systems will put you on the path to designing better applications and give you the confidence that the design will work in real life.