Kafka, Drilled down to its bits

Photo by israel palacio on Unsplash

Partitions allow you to parallelize a topic by splitting the data in a particular topic across multiple brokers — each partition can be placed on a separate machine to allow multiple consumers to read from a topic in parallel.

For example, if you want to be able to read 1 GB/sec, but your consumer is only able process 50 MB/sec, then you need at least 20 partitions and 20 consumers in the consumer group.

Replication factor determines number of replications each partition have, this allows Kafka to automatically failover to these replicas when a server in the cluster fails so that messages remain available in case of failures

min.insync.replicas is the minimum number of copies of the data that you are willing to be online at any time to continue running and accepting new incoming messages.

It is the fastest and most flexible cache organization that uses an associative memory. The associative memory stores both the address and content of the memory word.

Claps please. :-), will love the feedback.



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