Design Distributed Cache

Data Storage and Retrieval:

• Use Case: Store and retrieve data efficiently to reduce latency and improve application performance.
• Goal: Ensure quick access to frequently requested data.

Data Consistency:

• Use Case: Maintain consistency across distributed nodes to ensure users receive the most up-to-date information.
• Goal: Implement strategies like eventual consistency or strong consistency based on use case requirements.

Scalability:

• Use Case: Handle increasing loads by adding more nodes to the cache system without significant performance degradation.
• Goal: Support horizontal scaling to accommodate growing data and user requests.

Fault Tolerance:

• Use Case: Ensure system reliability and availability even in the event of node failures.
• Goal: Implement redundancy and failover mechanisms to minimize downtime.

Eviction Policy:

• Use Case: Manage cache size by removing less frequently accessed data when the cache is full.
• Goal: Implement policies like LRU (Least Recently Used) or LFU (Least Frequently Used) to optimize cache usage.

Security:

• Use Case: Protect data from unauthorized access and ensure secure data transmission.
• Goal: Implement authentication, authorization, and encryption mechanisms.