What are the best practices for Kafka architecture?
Some best practices include designing for scalability, ensuring data retention policies, and optimizing partitioning.
How should I handle data retention in Kafka?
You should set appropriate retention policies based on your use case, balancing storage costs and data availability.
What is the importance of partitioning in Kafka?
Partitioning allows for parallel processing and increases throughput, making your Kafka setup more efficient.
Can you explain how to monitor Kafka effectively?
Monitoring can be done using tools like Prometheus and Grafana, focusing on metrics like consumer lag and broker health.
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