Kafka Monitoring and Operations

The video tutorial provides an overview of Kafka monitoring and operations. It explains the importance of monitoring Kafka metrics using JMX and highlights key metrics such as under replicated partitions, request handlers, and request timing. The tutorial also discusses various tools for hosting Kafka metrics, including ELK, Datadog, and Prometheus. Additionally, it covers essential operational tasks like rolling restarts, updating configurations, and rebalancing partitions. The video emphasizes the need for understanding Kafka documentation and gaining confidence in executing operations.

Which of the following tools is NOT mentioned as a common place to host Kafka metrics?

• Splunk

• Grafana

• Kibana

• Elasticsearch

What does a high number of under-replicated partitions in Kafka indicate?

• All brokers are functioning correctly

• There is a high load or lag in the system

• The system is performing optimally

• The replication factor is too high

Why is it important to monitor request handlers in a Kafka cluster?

• To decrease the number of brokers

• To increase the replication factor

• To ensure brokers are not overloaded

• To reduce the number of partitions

What is the purpose of monitoring request timing in Kafka?

• To ensure the highest latency possible

• To verify that messages are delivered within acceptable time limits

• To increase the number of brokers

• To decrease the replication factor

Which of the following is NOT an operational task for maintaining a Kafka cluster?

• Upgrading the cluster with zero downtime

• Increasing the number of consumers

• Rebalancing partitions

• Rolling restart of brokers