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Kafka Broker KafkaUnderReplicatedPartitions

Some partitions have fewer replicas in sync than expected.

Understanding Kafka Broker and Its Purpose

Apache Kafka is a distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Kafka brokers are the heart of the Kafka cluster, responsible for maintaining the published data and serving clients.

For more information, visit the official Apache Kafka documentation.

Symptom: KafkaUnderReplicatedPartitions

The KafkaUnderReplicatedPartitions alert is triggered when some partitions have fewer replicas in sync than expected. This can lead to data loss if a broker fails, as there are not enough replicas to ensure data availability.

Details About the KafkaUnderReplicatedPartitions Alert

In a Kafka cluster, each partition is replicated across multiple brokers to ensure high availability and fault tolerance. The under-replicated partitions metric indicates the number of partitions that do not have the expected number of in-sync replicas (ISRs). This alert is critical as it signifies potential data loss risks.

For a deeper dive into Kafka replication, check out this Kafka replication guide.

Steps to Fix the KafkaUnderReplicatedPartitions Alert

Step 1: Investigate Broker Failures

First, check if any brokers are down or experiencing issues. Use the following command to list the brokers and their status:

bin/kafka-broker-api-versions.sh --bootstrap-server <broker-host>:9092

If any brokers are down, attempt to restart them and check the logs for any errors.

Step 2: Check Network Issues

Network issues can cause replication delays. Ensure that all brokers can communicate with each other without latency issues. Use tools like ping or traceroute to diagnose network problems.

Step 3: Ensure Sufficient Resources

Replication can be resource-intensive. Ensure that brokers have sufficient CPU, memory, and disk resources. Monitor resource usage using tools like Grafana or Prometheus.

Step 4: Adjust Replication Configuration

If the issue persists, consider adjusting the replication configuration. Increase the replication.factor for critical topics to ensure higher availability. Use the following command to alter the topic configuration:

bin/kafka-topics.sh --alter --topic <topic-name> --partitions <number-of-partitions> --replication-factor <new-replication-factor> --zookeeper <zookeeper-host>:2181

Conclusion

Addressing the KafkaUnderReplicatedPartitions alert is crucial for maintaining data integrity and availability in your Kafka cluster. By following the steps outlined above, you can diagnose and resolve the underlying issues effectively.

For further reading, explore the Kafka Operations Guide.

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