Read Heavy vs Write Heavy System

Designing systems for read-heavy versus write-heavy workloads involves different strategies, as each type of system has unique demands and challenges.

Designing for Read-Heavy Systems

Read-heavy systems are characterized by a high volume of read operations compared to writes. Common in scenarios like content delivery networks, reporting systems, or read-intensive APIs.

Key Strategies

1. Caching:
   • Implement extensive caching mechanisms to reduce database read operations. Technologies like Redis or Memcached can be used to cache frequent queries or results.