1)When to use kafka: Use Kafka for real-time data streaming, message queuing, and event-driven architectures. Key features of Kafka include: Distributed messaging system High throughput and low latency Fault-tolerance and scalability Persistent storage Stream processing capabilities Integration with various programming languages and frameworks message queuing refers to the process of sending, storing, and managing messages in a queue, where messages are temporarily held until they are processed by a consumer. In Kafka, message queuing involves publishing messages to topics (queues) and allowing multiple consumers to subscribe to these topics to process the messages asynchronously. This decouples producers of data from consumers, enabling efficient communication and scalability in distributed systems. Brokers: In Kafka, a broker is a core component responsible for handling message storage, distribution, and replication. It serves as a server instance that stores and manages Kafka t...