JavaScript Node.js Using Node.js Streams for Efficient File Processing Introduction Processing large files efficiently is a common challenge in backend systems. When files grow in size, loading them fully...
Backend Integrating Redis Cache into Spring Applications Introduction Caching is one of the most effective ways to speed up applications. Instead of hitting the database for every...
Backend Building Reactive APIs with Spring WebFlux Introduction As applications scale, traditional thread-per-request servers struggle under heavy load. This is especially true for I/O-heavy systems, API aggregators,...
Performance Optimization Profiling CPU & Memory Usage in Python/Node/Java Apps Introduction As applications grow, so does the need to understand where performance issues come from. High CPU usage, memory leaks,...
Backend Rate‑Limiting Strategies: token‑bucket vs leaky‑bucket vs fixed‑window What Is Rate Limiting? Rate limiting controls how many requests users can make within a specific time. It helps APIs...