Data Partitioning
Partition data to distribute read queries across multiple nodes and improve scalability. Use consistent hashing or range partitioning based on the data access patterns.
How to Design a Read-Heavy System?
Designing a read-heavy system requires careful consideration of various factors to ensure optimal performance and scalability. A read-heavy system is one in which the majority of operations involve reading data rather than writing or updating it. Examples include content delivery networks (CDNs), social media feeds, and analytics systems. To design a read-heavy system, you need to focus on maximizing read throughput, minimizing latency, and ensuring data consistency.