What mechanisms allow Kafka to remain available and resilient during component failures?

Kafka ensures availability and resilience through several key mechanisms:

• Partition Replication: data of each partition is replicated across multiple brokers, allowing continued operation if one fails.
• Leadership and Leader Election: a leader is chosen for each partition, which handles all read and write operations, while others are replicas. If the leader fails, a new leader is automatically elected.
• Zookeeper (or KRaft): coordination and management of cluster state, monitoring broker and leader availability.
• Offset Commit: consumers save their positions, enabling them to resume reading from the last processed message.
• Idempotence and Transactions: prevent message duplication during failures.

These mechanisms together provide high availability and fault tolerance for Kafka.