![]() ![]() rver:type=Produce,topic= ,name=FailedProduceRequestsPerSec:* The number of produce requests that failed due to errors on the broker or the producer for a specific topic.(Note that * can be replaced with the actual clientId). rver:type=FetcherLagMetrics,name=ConsumerLag,clientId=*: The lag of a consumer group with the given clientId for each partition in each topic.rver:type=BrokerTopicMetrics,name=BytesRejectedPerSec: The number of bytes being rejected by Kafka brokers due to insufficient broker resources.rver:type=BrokerTopicMetrics,name=BytesOutPerSec: The number of bytes being sent by Kafka brokers to consumers and other brokers each second.rver:type=BrokerTopicMetrics,name=BytesInPerSec: The number of bytes that Kafka brokers receive from producers and consumers each second.Here is a list of some common JMX Metrics you can collect from your Kafka Broker: The will output the current value of the specified metric. Replace with the name of the Kafka metric you want to monitor, along with its corresponding JMX object name (e.g., rver:type=BrokerTopicMetrics,name=BytesInPerSec). Replace with the JMX URL of your Kafka broker, which is in the format service:jmx:rmi:///jndi/rmi://:/jmxrmi. Run the following command to launch the. ![]() Navigate to the bin/ directory of the extracted Kafka binaries. To use the tool, follow these steps:ĭownload the Kafka binaries from the Kafka website and extract them to a directory on your monitoring machine. The is a command-line tool that allows you to query Kafka metrics via JMX. You can also enable JMX by setting the following environment property, before starting the Broker: export KAFKA_JMX_OPTS=" .port=9999 .ssl=false .authenticate=false" Using the You can enable JMX by setting the following properties in your Kafka broker configuration file ( server.properties): # Enable JMXĬom.=trueĬom.file=Ĭom.file= One such tool is the .īefore you can use the to monitor Kafka, you need to make sure that JMX is enabled in your Kafka brokers. Kafka exposes its metrics via JMX, which means that you can use any JMX-compliant monitoring tool to collect and visualize Kafka metrics. JMX is a Java-based technology that provides a standard way of monitoring and managing Java applications. Fortunately, Kafka provides a rich set of metrics that can be monitored via Java Management Extensions (JMX). As with any distributed system, monitoring Kafka is crucial for ensuring its availability, reliability, and performance. Kafka is a distributed streaming platform that is widely used for building real-time data pipelines and streaming applications. At the end of this tutorial, you will be able to collect key metrics to troubleshoot and monitor your Kafka cluster. article discusses how you can actively monitor Apache Kafka using JMX and the JmxTool that is available in your installation. The following table provides the list of metrics that the Ops Agent collects The configured username if JMX is configured to require authentication. The configured password if JMX is configured to require authentication. Values in host:port form are used to create a service URL of service:jmx:rmi:///jndi/rmi://:/jmxrmi. Sudo tee /etc/google-cloud-ops-agent/config.yaml > /dev/null : or host:port. Sudo cp /etc/google-cloud-ops-agent/config.yaml /etc/google-cloud-ops-agent/ # Create a back up of the existing file so existing configurations are not lost. The following command creates the configuration to collect and ingest telemetry To collect telemetry from JVM instances, and To set system properties by using command-line arguments, prepend the propertyįor example, to set .port to port 9999, specifyįollowing the guide for Configuring the Ops To expose a JMX endpoint remotely, you must also set the We also recommend setting theĬom.port system property to the same port. To expose a JMX endpoint, you must set the .port This integration supports JVM versions Java 16 and Java 11. For metrics, install version 2.2.0 or higher.The integration primarily collects metrics on memory and garbage collection.Īdditional runtime metrics, such as thread count and classes loaded, are also The JVM integration collects JVM metrics exposed through Java Management Save money with our transparent approach to pricing Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry ![]()
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