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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 this system, responsible for receiving, storing, and forwarding messages to consumers. Each broker in a Kafka cluster is responsible for a portion of the data, and efficient disk usage is crucial for maintaining performance and reliability.
The KafkaHighDiskUsage alert is triggered when the disk usage on a Kafka broker exceeds a predefined threshold. This alert is critical as it indicates that the broker is running out of disk space, which can lead to data loss or broker failure if not addressed promptly.
When the KafkaHighDiskUsage alert is triggered, it means that the disk space allocated to a Kafka broker is nearing its capacity. This can happen due to several reasons, such as an increase in message volume, inefficient log retention policies, or insufficient disk allocation. High disk usage can cause Kafka to stop accepting new messages, leading to potential data loss and service disruption.
Disk usage is a critical metric for Kafka brokers because it directly impacts the broker's ability to store and manage data. If a broker runs out of disk space, it cannot store new messages, which can lead to data loss and affect the overall performance of the Kafka cluster.
Regular monitoring of disk usage is essential to prevent issues related to high disk usage. Tools like Prometheus and Grafana can be used to set up alerts and dashboards to monitor disk usage metrics effectively.
Addressing the KafkaHighDiskUsage alert involves several steps to ensure that the broker has sufficient disk space to operate efficiently.
If possible, increase the disk capacity allocated to the Kafka broker. This can be done by adding more disks or expanding the existing disk volume. Ensure that the new disk space is properly configured and mounted for Kafka to use.
Review and optimize the log retention policies configured for the Kafka broker. You can adjust the log.retention.hours
or log.retention.bytes
settings in the server.properties
file to control how long logs are retained. For example:
log.retention.hours=168 # Retain logs for 7 days
log.retention.bytes=1073741824 # Retain logs up to 1GB per partition
Restart the Kafka broker after making changes to the configuration.
Manually clean up old logs that are no longer needed. This can be done using the kafka-log-dirs.sh
script to list and delete logs from specific directories. For example:
./kafka-log-dirs.sh --bootstrap-server : --describe --broker-list
Identify the logs that can be safely deleted and remove them to free up disk space.
Set up regular monitoring and alerts for disk usage using Prometheus and Grafana. Ensure that alerts are configured to notify you before disk usage reaches critical levels, allowing for proactive management.
By following these steps, you can effectively manage disk usage on your Kafka brokers and prevent issues related to high disk usage. Regular monitoring and proactive management are key to maintaining the performance and reliability of your Kafka cluster.
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)