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Apache Kafka 1.0 Cookbook

You're reading from   Apache Kafka 1.0 Cookbook Over 100 practical recipes on using distributed enterprise messaging to handle real-time data

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787286849
Length 250 pages
Edition 1st Edition
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Authors (2):
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Raúl Estrada Raúl Estrada
Author Profile Icon Raúl Estrada
Raúl Estrada
Alexey Zinoviev Alexey Zinoviev
Author Profile Icon Alexey Zinoviev
Alexey Zinoviev
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Toc

Table of Contents (11) Chapters Close

Preface 1. Configuring Kafka FREE CHAPTER 2. Kafka Clusters 3. Message Validation 4. Message Enrichment 5. The Confluent Platform 6. Kafka Streams 7. Managing Kafka 8. Operating Kafka 9. Monitoring and Security 10. Third-Party Tool Integration

Monitoring server statistics


Kafka exposes monitoring statistics using Yammer metrics. Yammer metrics is a protocol that exposes six types of metrics: gauges, counters, meters, histograms, timers, and health checks. This recipe shows how to monitor the metrics exposed by Kafka from the server side. In the following recipes, we cover the producer and consumer related metrics.

Getting ready

For this recipe, we just need a Kafka broker up and running.

To set the JMX port, from the Kafka installation directory start the broker using the following command:

$ JMX_PORT=10101 bin/kafka-server-start.sh config/server.properties

Also, JConsole must be installed, check the installation with the following command:

$ jconsole

How to do it...

  1. Run JConsole using the following command:
$ jconsole 127.0.0.1:10101
  1. In the following screenshot, we can see all the different parameters plotted over time:

Figure 9.1: JConsole after executing command: jconsole 127.0.0.1:10101

  1. Switch to the MBeans tab and expand the Kafka server...
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