![]() The bin/kafka-monitor-start.sh script is used to run Kafka Monitor and begin executing checks against your Kafka clusters. You begin by cloning and building the GitHub repository: $ git clone ![]() The values from these tests can be easily viewed in a web interface as shown below. Out-of-the-box monitoring checks include those that measure availability, end-to-end latency, duplication rates, and message loss rates. In his blog post on the history of open-sourcing Kafka Monitor, Dong Lin (also one of the main project contributors) describes the philosophy and design overview of the tool and useful tests to run. bin/kafka-monitor-start.sh config/multi-cluster-monitor.properties To monitor multiple clusters, all you need is to modify the multi-cluster-monitor.properties config file (within the config directory) with your cluster specific information and run the following script. bin/single-cluster-monitor.sh -topic -broker-list -zookeeper For example, to start Kafka Monitor and begin monitoring a cluster, use the following script where you add the parameters specific to your cluster. Kafka Monitor allows you to monitor a cluster using end-to-end pipelines to obtain vital statistics such as end-to-end latency, service availability and message loss rate. It helps you execute long-running tests in a Kafka cluster, and works with Kafka’s existing system tests by capturing issues that can occur after running for an extended period of time. Kafka MonitorĪs described on the Kafka Monitor GitHub page, the goal of the Kafka Monitor framework is to make it as easy as possible to develop and execute long-running Kafka-specific system tests in real clusters and monitor application performance. You can also jump to monitoring Kafka with Sematext if you are looking for an easy to use Kafka monitoring solution with alerting, dashboards, team support, etc. Let’s explore some specific packages and how to use them now.
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