Key broker metrics in Kafka - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the role of the Broker in Kafka?

A Kafka broker is a server that stores data and serves clients. It handles read and write requests for topics and manages data replication.

beginner

What does the MessagesInPerSec metric measure in a Kafka broker?

It measures the number of messages the broker receives per second from producers.

intermediate

Explain the UnderReplicatedPartitions metric.

This metric shows how many partitions have fewer replicas in sync than expected, indicating potential data loss risk.

intermediate

What does the RequestHandlerAvgIdlePercent metric indicate?

It shows the average percentage of time the broker's request handler threads are idle, helping to understand broker load.

beginner

Why is monitoring BytesInPerSec and BytesOutPerSec important?

These metrics track the data volume flowing into and out of the broker, helping to detect bottlenecks or unusual traffic.

Which Kafka broker metric shows the number of messages received per second?

A RequestHandlerAvgIdlePercent

B BytesOutPerSec

C UnderReplicatedPartitions

D MessagesInPerSec

MessagesInPerSec counts how many messages the broker receives each second.

What does a high value in UnderReplicatedPartitions mean?

A Some partitions have fewer replicas than expected

B More partitions are fully replicated

C Broker is idle

D High message throughput

UnderReplicatedPartitions indicates partitions with fewer replicas in sync, which is risky.

If RequestHandlerAvgIdlePercent is very low, what does it suggest?

A Broker threads are mostly idle

B No messages are being processed

C Broker threads are mostly busy

D Broker is offline

Low idle percent means request handler threads are busy handling requests.

Which metric helps monitor the data volume sent from the broker to consumers?

A BytesInPerSec

B BytesOutPerSec

C MessagesInPerSec

D UnderReplicatedPartitions

BytesOutPerSec tracks data sent out from the broker.

Why is it important to monitor BytesInPerSec?

A To track data volume coming into the broker

B To measure broker CPU usage

C To check how many messages are consumed

D To count under-replicated partitions

BytesInPerSec measures the data volume entering the broker from producers.

Describe the key Kafka broker metrics you would monitor to ensure broker health and performance.

Think about message flow, replication status, and thread activity.

Explain why UnderReplicatedPartitions is critical for Kafka reliability.

Consider what happens if replicas are not in sync.