Category System Design

Introduction A Bloom filter is a probabilistic data structure designed for space-efficient membership testing, enabling rapid queries to determine whether an element is likely present in a set. It is widely used in applications requiring high performance and low memory…

Introduction Redis (Remote Dictionary Server) is a high-performance, in-memory, key-value data store celebrated for its sub-millisecond latency (< 1ms), high throughput (up to 100,000 req/s per node), and versatility across diverse applications. Its optimized architecture, efficient data structures (e.g., Hash…

Introduction Cache eviction policies are critical mechanisms in caching systems to manage limited memory by determining which items to remove when the cache reaches capacity. These policies ensure efficient use of cache memory, maintaining high hit rates and low latency…

Introduction Caching is a cornerstone of high-performance system design, enabling rapid data access, reduced latency, and alleviation of backend database load in applications such as e-commerce, social media, and streaming services. By storing frequently accessed data in fast, typically in-memory…

Concept Explanation Distributed caching systems are specialized data storage solutions designed to store frequently accessed data in memory across multiple nodes, significantly improving application performance by reducing latency and offloading backend databases. Unlike traditional in-memory caching on a single server,…

Concept Explanation Polyglot persistence refers to the architectural practice of using multiple database types within a single application, particularly in microservices architectures, to leverage the strengths of different databases for specific data storage and access patterns. In microservices, where each…

Concept Explanation Event Sourcing and Command Query Responsibility Segregation (CQRS) are advanced architectural patterns that enhance data management in modern systems, particularly in distributed and high-performance applications. These patterns address challenges in scalability, auditability, and flexibility by decoupling data storage…

Concept Explanation Distributed databases are systems that store and manage data across multiple nodes or servers, enabling horizontal scalability, fault tolerance, and high availability in large-scale applications. Unlike traditional single-node databases, distributed databases partition data and replicate it across a…