Kafka Monitoring – Methods & Tools You Should Know


The immense amount of data flowing into businesses today can be overwhelming. If the right software and apps are not used to manage it. Data management professionals have done well by coming up with solutions for this. First, they came up with programs like HTML, Java, and Python. Which we use to write different software and apps.

Apache Kafka is a superior data processing engine by LinkedIn using Scala and Java. It was them given to Apache Software Foundation for open source distribution. Notably, this is an engine that specifically deals with real-time and high-speed data. As a result, dealing with any amount of big data is possible.

Given the fact that the framework deals with streaming large amounts of data, the monitoring process is very crucial. The developers have come up with solutions for monitoring activities in the distributed network of Apache Kafka.

How Kafka Operates

Before going through the monitoring tools, it is crucial to know how Kafka works. After collecting the data, Kafka can analyze it in many ways. They call these “topics.” It can be the number of buyers within a certain time, sales amounts for a day, and much more. The “topics” can be generated by any authorized user. Who needs such a report in your business.

Other frameworks like Hadoop can also rely on Kafka Topic Log information according to experts at https://activewizards.com. However, this integration requires professional handling, and that is why your business should consult with data experts.

Tools That Are Used for Monitoring Kafka

The level of complexity in Kafka clusters require the best tools to monitor them in real-time. It is the only way to make sensible reports. When choosing your monitoring tools, ensure that it can handle many clusters at the same time, gives clear statistics in a summarized form, and also one that makes it possible to make reports. For many experts, tools that allow automation are the best.

  • LinkedIn Burrow – The original maker of Kafka open-source frameworks understands it better than any other developer. That is why their monitoring tool, LinkedIn Burrow, is among the best. It has an HTTP endpoint where the users can request any information when they need it. If you want to stay updated on the progress of various reports, this tool will send reports to your email at set intervals.
  • Confluent Enterprise – This tool has a control center that allows users to stay updated on different clusters. The best thing is that it gives you an interface that is interactive. As a user, you can either wait for the automated reports or command Kafka to generate a report of your choice.
  • Landoop – This tool is not only useful in managing Kafka but also interesting to work with. The management also follows the same sequence of either automated reports or requests on demand. Moreover, it also allows for SQL streaming as a bonus.


Apache Kafka is free to use, and so are some of the monitoring tools. The only cost you will incur in your venture in consultation fee when you engage the experts, which is recommended anyway. Thus, there is no reason why you should be struggling with the management of big data in your organization when there are numerous solutions out there.


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