Advanced Concurrency & Performance

Explain the thread-per-request model and its scalability limitations.

Identify potential race conditions in concurrent code and resolve them using thread-safe constructs (e.g., ReentrantLock, Atomic classes).

Analyze a thread dump to identify a deadlock and explain deadlock prevention strategies like lock ordering.

Explain the core principles of reactive programming, including non-blocking I/O and backpressure.

Implement non-blocking REST controllers using Spring WebFlux (Mono/Flux) for high-concurrency scenarios.

Implement the cache-aside pattern using Redis with Spring caching annotations (@Cacheable, @CacheEvict).

Describe advanced caching patterns, including write-through, write-behind, and eviction policies.

Design a multi-level caching strategy for a high-traffic, read-heavy service.