Caching improves performance—but it's not without challenges. From thundering herds to hot keys and cache drift, this post covers common cache-related problems and effective strategies to prevent them from degrading your application.
Learn the essential cache invalidation strategies to keep your application data fresh, reduce latency, and prevent stale or inconsistent results. Understand write-through, write-back, TTL, purge, ban, and more.
Learn the most common cache replacement policies—LRU, LFU, FIFO, and Random. Discover how they work, when to use them, and how to choose the right one for your caching strategy based on performance and complexity.
Caching is a powerful technique used to speed up applications, reduce server load, and improve user experience. This post introduces the fundamentals of caching, including how it works, types of caching, key concepts, and why it's crucial in modern web development.
Explore the main types of data structures in programming — primitive and non-primitive. Learn about linear structures like arrays and stacks, and non-linear ones like trees and graphs, with easy examples to understand their roles.