Understanding Redis With Use Cases (And When to Use It Instead of a Database)
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.
Search Results for "backend"
Showing 6 posts
Database Indexing Explained: Why Adding an Index Can Actually Make Performance Worse
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.
Why Is My API Slow? The Complete API Performance Optimization Guide for Production Systems
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
Caching Explained for Beginners: Cache Hit vs Cache Miss
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.
How Async Works in Python: Event Loop Explained (With Threading Comparison)
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.
Async vs Sync in Python: When to Use (and Avoid) Async
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.