Mastering Kafka: Key concepts for systems piloted by evolutionary events | By allows you to learn now | March 2025
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Mastering Kafka: Key concepts for systems piloted by evolutionary events | By allows you to learn now | March 2025


Kafka configuration for high volume application involves optimizing various parameters to effectively manage the increased load.

Here are some key configuration aspects to consider:

Broker configuration

Adjust the

NUM.

NUM.IO.THREADS

NUM.NETWORK.THREADS

log.segment.bytes

Based on material capabilities and expected message flow.

Replication factor

Increase the replication factor to guarantee the sustainability and availability of data in the event of a node failure.

Producer configuration

Adjust the producer Parameters like

size batch

linger

compression.

To optimize the publication of messages.

Consumer configuration

Adjust consumer properties like

Fetch.min.bytes



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