Skip to main content

January 9, 2026 · 1 min read

How would you implement a custom caching mechanism in Python to optimize performance for an API that fetches user data from a database?

I would implement a decorator that caches the results of the API calls based on user IDs, using an in-memory dictionary for the cache. This would reduce database queries for…

debmedia

SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Jan 09, 2026 ⏱ 1 min read

HW

How would you implement a custom caching mechanism in Python to optimize performance for an API that fetches user data from a database?

COVER // HOW WOULD YOU IMPLEMENT A CUSTOM CACHING MECHANISM IN PYTHON TO OPTIMIZE PERFORMANCE FOR AN API THAT FETCHES USER DATA FROM A DATABASE?

I would implement a decorator that caches the results of the API calls based on user IDs, using an in-memory dictionary for the cache. This would reduce database queries for frequently accessed user data, improving performance significantly.

api caching performance python

Let's Talk

Have a Project in Mind?

Whether it's a software challenge, an AI integration, or a course enquiry — I'm always open to a real conversation.

hello@debasisbhattacharjee.com · +91 8777088548 · Mon–Fri, 9AM–6PM IST

Book a Free Strategy Call → Connect on LinkedIn Explore Courses