Event-Driven Architecture with Kafka

Implement a Kafka producer and a consumer using Spring for Kafka, demonstrating different offset management techniques.

Explain the role of a schema registry and implement event versioning with Avro for schema evolution.

Solve message ordering challenges in Kafka using appropriate partitioning strategies.

Explain the trade-offs between different message delivery semantics (at-most-once, at-least-once, exactly-once).

Implement an idempotent Kafka consumer to safely process duplicate messages.

Compare caching strategies (e.g., cache-aside, write-through) and implement caching with Spring Cache and Redis.

Explain the cache stampede problem and a strategy to mitigate it.