Google Onsite Interview Question #14: Design a High-Throughput Thread-Safe LRU Cache with TTL

📰 Medium · Programming

Learn to design a high-throughput thread-safe LRU cache with TTL for Google onsite interviews

advanced Published 8 Jul 2026
Action Steps
  1. Design a basic LRU cache using a hash map and a doubly linked list
  2. Implement thread safety using locks or atomic operations
  3. Add a TTL (time-to-live) feature to expire cache entries
  4. Optimize the cache for high throughput using techniques like caching frequently accessed items
  5. Test the cache implementation using multiple threads and verify its correctness
Who Needs to Know This

Software engineers and system designers can benefit from this knowledge to improve their system's performance and scalability

Key Insight

💡 A high-throughput thread-safe LRU cache with TTL can be achieved by combining a hash map, doubly linked list, and atomic operations

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💡 Design a thread-safe LRU cache with TTL for high-performance systems

Key Takeaways

Learn to design a high-throughput thread-safe LRU cache with TTL for Google onsite interviews

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