Data Systems
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    Apache Kafka Monitoring

    Monitor Apache Kafka broker health, partition lag, consumer groups, and throughput in real time with zero configuration.

    Why monitor Apache Kafka?

    Apache Kafka is the backbone of real-time data pipelines and event streaming. Monitoring Kafka ensures healthy broker clusters, minimal consumer lag, optimal partition distribution, and reliable message delivery.

    Auto-discovery via Xitogent
    Broker health and ISR tracking
    Consumer group lag monitoring
    Partition distribution metrics
    Message throughput rates
    Disk usage per broker
    Topic-level metrics
    1-minute collection intervals
    Metrics

    What we monitor

    Broker Count

    Active brokers in the cluster.

    Consumer Lag

    Messages behind for each consumer group.

    Messages In/sec

    Message ingestion rate.

    Bytes In/Out

    Network throughput per broker.

    Under-Replicated Partitions

    Partitions below replication factor.

    ISR Shrinks

    In-sync replica shrink events.

    Triggers & Alerts

    Configurable alert triggers

    Set up custom triggers in your dashboard to get notified the moment Apache Kafka metrics cross your defined thresholds.

    Apache Kafka monitoring trigger configuration dashboard

    Consumer Lag

    critical

    Fires when consumer falls behind.

    Under-Replicated Partitions

    critical

    Alerts on replication issues.

    Broker Down

    critical

    Triggers when a broker leaves the cluster.

    Disk Usage

    warning

    Fires when broker disk is filling up.

    01

    Importance of Kafka Monitoring

    Kafka processes trillions of messages daily. Consumer lag, broker failures, and partition imbalance can cause data pipeline failures.

    • Detect consumer lag before data loss
    • Monitor ISR for data durability
    • Track broker health across clusters
    • Ensure partition balance
    Kafka monitoring
    Partition analytics
    02

    Why Choose Xitoring

    Enterprise-grade Kafka monitoring.

    • Zero-config setup
    • Global nodes
    • Unified dashboard
    • Multi-channel alerts
    • Historical retention
    Overview
    Alerts
    Before you start

    Prerequisites for Apache Kafka

    Make sure you've got these in place — most installs are a 60-second job once they are.

    • Kafka brokers with JMX enabled (default port 9999)
    • Network reachability from Xitogent to each broker's JMX port
    • JMX authentication credentials if security is configured
    Setup Guide

    Get started in minutes

    1

    Install Xitogent on each broker

    Install the lightweight Xitogent monitoring agent on every Kafka broker you want to monitor.

    curl -s https://xitoring.com/install.sh | sudo bash -s -- --key=YOUR_API_KEY
    2

    Enable JMX on each broker

    Kafka exposes broker metrics through JMX. Set `KAFKA_JMX_OPTS` to enable a JMX listener (typically port 9999) on each broker, reload the service, and confirm the agent host can connect to the JMX port.

    sudo xitogent integrate
    3

    Enable the Kafka integration

    Use the Xitoring dashboard or CLI to enable the Kafka integration. Xitogent auto-discovers broker IDs, topics, and consumer groups across the cluster.

    4

    Configure alert thresholds (optional)

    Set custom thresholds for Consumer Lag, Under-Replicated Partitions, or Broker Down events to catch replication issues and back-pressure before consumers fall behind.

    5

    Verify it's working

    Run this command on the server to confirm Xitogent picked up the integration. Fresh metrics will start streaming to your dashboard within ~30 seconds.

    sudo xitogent status

    Frequently asked questions

    Start monitoring Apache Kafka today

    Set up in under 60 seconds. No credit card required. Full metrics from day one.

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