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Monitor Kafka Topics

Real-time monitoring tool for Apache Kafka topics with partition status, offset tracking, and consumer lag visualization

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About This Tool

This Kafka Topic Monitor provides comprehensive real-time monitoring for Apache Kafka clusters. Connect to your Kafka brokers to view all topics, track partition status, monitor consumer lag, and visualize message offsets. The tool displays detailed metrics including partition leaders, replicas, in-sync replicas (ISR), and end offsets. Monitor consumer group lag across topics and partitions with color-coded status indicators. The intuitive dashboard updates in real-time via WebSocket connection, giving you instant visibility into your Kafka ecosystem's health and performance.
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How to Use

  1. Enter your Kafka broker connection details (host:port)
  2. Click 'Connect to Kafka' to establish connection
  3. Select topics to monitor from the dropdown list
  4. Click 'Start Monitoring' to begin real-time tracking
  5. View detailed metrics including partitions, offsets, and consumer lag
  6. Use 'Stop Monitoring' to pause updates or 'Disconnect' to end session
How to use monitor kafka topics

Frequently Asked Questions

Find Quick Answers

What Kafka versions are supported?
The tool supports Kafka 0.11.0 and above through the php-rdkafka extension which is compatible with modern Kafka protocols.
Do I need to install anything on my server?
Yes, you need to install the php-rdkafka extension on your server. See the development_tasks.json file for installation instructions.
Can I monitor multiple topics simultaneously?
Yes, you can select and monitor multiple topics at once. The dashboard will display metrics for all selected topics in separate sections.
How real-time are the updates?
Updates are near real-time via WebSocket connection, with metrics refreshed every 5 seconds when monitoring is active.
What security features are supported?
The tool supports SASL/SSL authentication. You can provide username/password and SSL certificate paths in the connection form for secure clusters.

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