Kafka - Kubernetes and Cloud Deployment
If a Kafka broker consistently shows 90% CPU utilization, what is the best resource planning step to reduce this?
If a Kafka broker consistently shows 90% CPU utilization, what is the best resource planning step to reduce this?
medium📝 Predict Output Q5 of 15
Step-by-Step Solution
Solution:
Step 1: Identify cause
High CPU usage indicates brokers are overloaded processing partitions and requests.Step 2: Plan resource scaling
Adding brokers distributes partitions and client load, reducing CPU pressure per broker.Final Answer:
Add more brokers to distribute the load -> Option DQuick Check:
More brokers reduce CPU load per broker [OK]
Quick Trick: Add brokers to reduce high CPU load [OK]
Common Mistakes:
- Increasing partitions without adding brokers
- Reducing consumers without addressing broker load
- Upgrading clients unrelated to CPU usage
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