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hello and welcome in this video we will discuss what is the need of fault tolerance in kafka and how kafka achieves fault tolerance so let us start so we have a producer who is interested to send some data and we have a consumer who is interested to read the data we have kafka cluster that facilitates the transfer of data from producer to consumer and in our kafka cluster we have multiple brokers producer will send data to topic which may have multiple partitions and each partition will be sitting on a different broker now what happens when a broker goes down this is a very common scenario in data centers that a server may go down because of any issue our end users should not be impacted by that but here if a broker goes down consumer will not be able to consume data from that specific partition which was stored on that broker so how does kafka handle the situation kafka handles this situation by replication so what kafka will do it will make multiple copies of each partition a
