Tag: Redis caching example for read-heavy

A read-heavy system is a system architecture optimized for scenarios where the frequency of data retrieval operations (reads) significantly outweighs the frequency of data updates or insertions (writes). This balance affects the architecture’s design, particularly around caching, data replication, and database optimization. Key Characteristics of a Read-Heavy System 1. High Cache Utilization: By caching frequently…