#Distributed Systems

Explain core Apache Kafka concepts including Producers, Consumers, configuration parameters (`acks`, `batch.size`, `linger.ms`), and performance tuning strategies.

How do you manage distributed transactions across microservices?

Discuss how to handle traffic spikes in a monolithic architecture. What trade-offs would you consider between a monolithic and microservices approach? If you were restricted to using a monolith, how would you scale it? Discuss the design of a retry mechanism in distributed systems and methods to reduce system latency.

Discuss how you would implement a seat-locking mechanism to handle simultaneous bookings for the BookMyShow system. Address preventing double-booking scenarios and ensure scalability and consistency in the booking process.

How do you handle data consistency under network partitions? Discuss your approach and potential issues.