How does Kafka handle scalability?
An example of an AI chatbot conversation about Kafka's ability to scale efficiently.
How does Kafka handle scalability?
Kafka is designed to scale horizontally by adding more brokers to a cluster, allowing it to handle increased load.
What are the benefits of scaling Kafka?
Scaling Kafka improves throughput, fault tolerance, and allows for handling more consumers and producers.
Can you explain how partitioning works in Kafka?
Partitioning allows Kafka to distribute data across multiple brokers, enabling parallel processing and better load balancing.
What are some best practices for scaling Kafka?
Best practices include monitoring performance, optimizing partition sizes, and ensuring proper replication for fault tolerance.
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