Kafka - Kubernetes and Cloud Deployment
For a Kafka cluster expected to handle 1 million messages per second with minimal latency, which resource planning approach is optimal?
For a Kafka cluster expected to handle 1 million messages per second with minimal latency, which resource planning approach is optimal?
hard📝 Application Q8 of 15
Step-by-Step Solution
Solution:
Step 1: Understand throughput needs
Handling 1 million messages/sec requires high broker capacity and fast storage.Step 2: Optimize partitions
Increasing partitions allows parallel processing and better throughput.Step 3: Use SSDs and multiple brokers
SSD storage reduces I/O latency; multiple brokers distribute load effectively.Final Answer:
Deploy multiple high-performance brokers with SSD storage and increase partitions -> Option CQuick Check:
High throughput needs many brokers, SSDs, and partitions [OK]
Quick Trick: High throughput needs many brokers, SSDs, and partitions [OK]
Common Mistakes:
MISTAKES- Reducing partitions to minimize overhead
- Relying solely on autoscaling without planning
- Increasing replication factor unnecessarily
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