What is data durability in Kafka?
Data durability in Kafka refers to the guarantee that messages are not lost and will remain available even in the event of failures.
How does Kafka ensure data durability?
Kafka ensures data durability through replication, where messages are copied across multiple brokers, and by persisting data to disk.
What happens if a broker fails?
If a broker fails, Kafka can still serve data from other replicas, ensuring that no messages are lost.
Can I configure the durability settings in Kafka?
Yes, you can configure settings like the replication factor and acknowledgment settings to control durability.
What are the trade-offs of increasing durability?
Increasing durability can lead to higher latency and resource usage, as more replicas need to be maintained.
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