Kafka Official Source: https://kafka.apache.org/documentation/#ref_config_provider

Step Snap 1: [Kafka Replication]

Sub Snap Step: [Process Explained]

In Kafka, replication is a critical mechanism that ensures data durability and high availability. The replication system works with a leader-follower model within each partition. Below is how the process works:

1. Normal Operation with ReplicationOverview:

• Each partition has one leader broker and multiple follower brokers.
• The leader (N0) handles all read and write requests for that partition.
• Followers (N1, N2) replicate data from the leader but don't serve client requests.

Advantages: ✅ Data Durability – Multiple copies ensure data isn't lost if a broker fails. ✅ High Availability – System can continue operating even when brokers go down. ✅ Read Scalability – In some configurations, followers can serve read requests.

Replication Flow:

1. Producer sends records to the leader broker only
2. Leader appends records to its local log
3. Followers pull new records from the leader regularly
4. Followers confirm when they've successfully replicated data

Step Snap 2: [Kafka Leader Failure and Recovery]

When a leader broker fails, Kafka has an automatic failover mechanism to ensure continuous operation. Here's how the leader election process works:

1. Leader Failure DetectionProcess:

• Zookeeper (or Kafka Controller in KRaft mode) monitors broker heartbeats