Data Consistency
Ensure data consistency by using appropriate consistency models (e.g., eventual consistency, strong consistency) based on the application requirements. Use techniques like read-after-write consistency and quorum-based replication to maintain consistency in distributed systems.
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.