Briefly describe the working of RAFT Hyperledger framework?

The RAFT Hyperledger framework works in the following way:

1. Leader Election: In the RAFT consensus algorithm, one of the nodes is elected as the leader. The leader is responsible for managing the log replication on other nodes in the network. The leader is elected by a majority of nodes in the network.

2. Log Replication: Once the leader is elected, it starts accepting client requests and appends them to its logs. The leader then sends these logs to other nodes in the network. The logs contain commands to be executed by the node machines.

3. Safety: RAFT ensures safety by maintaining a high level of consistency. If a leader fails or disconnects, a new leader is elected. The new leader then continues the work from where the previous leader left off. This ensures that the system continues to function even in the event of a failure.

4. Consistency: RAFT ensures that all changes to the system are made in a consistent manner. This means that if a command is executed on the leader, it will also be executed on all other nodes in the exact same way.

5. Fault Tolerance: RAFT is designed to handle failures. If a node fails, the system continues to operate. The failed node can rejoin the network when it is back online.

6. Performance: RAFT provides high performance and low latency because all decisions are made by the leader, reducing the need for complex coordination between nodes.