You want to optimize Kafka producer for low latency and high throughput. Which combination of memory and buffer settings is best?

hard📝 Application Q15 of 15

Kafka - Performance Tuning

AIncrease <code>buffer.memory</code>, decrease <code>linger.ms</code>, increase <code>batch.size</code>

BDecrease <code>buffer.memory</code>, increase <code>linger.ms</code>, decrease <code>batch.size</code>

CKeep <code>buffer.memory</code> small, set <code>linger.ms</code> high, increase <code>batch.size</code>

DSet <code>buffer.memory</code> and <code>batch.size</code> low, <code>linger.ms</code> high

Step-by-Step Solution

Solution:

Step 1: Understand latency vs throughput tradeoff
Low latency means sending data quickly, high throughput means sending large batches efficiently.
Step 2: Adjust buffer and batch settings accordingly
Increasing buffer.memory and batch.size allows bigger batches, while decreasing linger.ms reduces wait time before sending.
Final Answer:
Increase buffer.memory, decrease linger.ms, increase batch.size -> Option A
Quick Check:
Big buffer + big batch + low linger = low latency & high throughput [OK]

Quick Trick: Big buffer and batch, low linger for speed and volume [OK]

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