Showing 6 posts
Async vs sync in Python isn’t about speed—it’s about efficiency. Learn when async actually improves performance, when it makes things worse, and how to choose the right approach for real-world applications.
Async in Python isn’t parallel—it’s smart task switching. Learn how the event loop works, how coroutines pause and resume, and whether async is actually faster than threading in real-world scenarios.
Caching improves performance by storing frequently used data for faster access. Learn how caching works, what cache hits and misses mean, and how they impact real-world system performance.
Learn what Redis actually does in backend systems, how it works, real-world Redis use cases, and when you should use Redis instead of a traditional database.
Learn how to diagnose and fix slow APIs in production. Discover the real causes of latency, database bottlenecks, caching strategies, N+1 queries, payload optimisation, observability, and scaling tradeoffs
Learn how database indexes really work, why they speed up queries, when they slow systems down, and the production mistakes most developers discover too late.
