#Kafka

Compare Redis Pub/Sub and Apache Kafka. Discuss trade-offs regarding message persistence, consumer grouping, backpressure, and delivery guarantees.

Design a Promo Code System for Blinkit where promotions can depend on user segments, region, checkout amount, validity period, budget caps, and other parameters. The marketing team must also be able to configure and manage these promotions. Cover the following aspects: - Functional and non-functional requirements - Scale estimations - API design - High-level design (HLD) and scaling strategy - Consistency vs availability trade-offs - Region-specific request handling using Kafka partitions - Entity identification, schema design, and ER diagram

Compare Kafka and RabbitMQ, focusing on consumer groups, partitions, and offsets.

What are acknowledgements (acks) in Kafka?

What are Consumer Groups?