Why Your Cache Breaks The Moment You Scale Beyond One Python Process

Python Caching Explained Through A Production Disaster ☠️ Photo by Growtika on Unsplash In the last blog, we learned something painful: Async wasn’t about making your app faster. It was about helping your app survive waiting. Because modern applications spend half their lives waiting for APIs, waiting for databases, waiting for LLMs, waiting for somebody else’s server in another country having a difficult day & async solved that beautifully. Python Async Isn't About Speed - It's About Surviving Waiting 😴 Our AI app stopped freezing.