Kafka - Kubernetes and Cloud Deployment
Why does increasing the number of partitions in Kafka not always linearly increase throughput?
Why does increasing the number of partitions in Kafka not always linearly increase throughput?
hard📝 Conceptual Q10 of 15
Step-by-Step Solution
Solution:
Step 1: Understand partition throughput scaling
More partitions allow parallelism but require more broker CPU, memory, and network.Step 2: Identify bottlenecks limiting linear scaling
Broker resource limits and network bandwidth prevent throughput from scaling linearly.Final Answer:
Because broker resources and network bandwidth become bottlenecks -> Option CQuick Check:
Throughput scaling limited by broker and network bottlenecks [OK]
Quick Trick: Throughput limited by broker and network bottlenecks [OK]
Common Mistakes:
- Thinking Kafka limits partitions to 10 (no such limit)
- Believing consumers can't read multiple partitions
- Assuming partitions share the same offset
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