Optimizing Julia isn't hard if you compare it to Python or R where you have to be an expert in Python or R and C/C++. I'll describe what type stability is and why it is important for performance. I'll discuss it in the context of performance (raw throughput) and in the context of time to first X (TTFX). Julia is sort of notorious for having really bad TTFX in certain cases. This talk explains the workflow that you can use to reduce running time and TTFX.