![]() ![]() Name = "server_replicamanager_leadercount" Mbean = "rver:type=ReplicaManager,name=PartitionCount" Name = "server_replicamanager_partitioncount" Mbean = "rver:type=ReplicaManager,name=UnderReplicatedPartitions" Name = "server_replicamanager_underreplicated" Mbean = "rver:type=ReplicaFetcherManager,name=MaxLag,clientId=Replica" Name = "server_replicafetchmanager.maxlag" # Kafka Server Replica Fetcher Manager Metrics Mbean = "rver:type=DelayedOperationPurgatory,name=PurgatorySize,delayedOperation=Produce" Name = "server_delayedoperationpugatory_produce" Mbean = "rver:type=DelayedOperationPurgatory,name=PurgatorySize,delayedOperation=Fetch" ![]() Name = "server_delayedoperationpugatory_fetch" # Kafka Server Delayed Operation Purgatory Metrics Mbean = "rver:name=RequestHandlerAvgIdlePercent,type=KafkaRequestHandlerPool" Name = "server_requesthandler_avgidlepct" Mbean = "rver:type=BrokerTopicMetrics,name=BytesOutPerSec" Name = "server_brokertopics_bytesoutpersec" Mbean = "rver:type=BrokerTopicMetrics,name=BytesInPerSec" Name = "server_brokertopics_bytesinpersec" Mbean = "rver:type=BrokerTopicMetrics,name=MessagesInPerSec" Name = "server_brokertopics_messagesinpersec" Mbean = "java.lang:type=GarbageCollector,name=*" # This collects garbage collection metrics. # This collects all heap memory usage metrics. # optionally, a list of fields to collect. # Each metric consists of a name, a jmx path and # List of metrics collected on above servers # An array of Kafka servers URI to gather stats. Add the following snippet to kafka-server-start.sh:.Save jolokia-agent.jar on your Kafka server in /opt/kafka/libs or any location accessible to Kafka.Rename downloaded Jar file to jolokia-agent.jar.Download the latest version of the Jolokia JVM-Agent from here.Jolokia is a JVM agent that exposes JMX data as JSON on an HTTP port (8778 by default). Sign up for a free trial to check it out! Step 2. If a proxy is already running in your environment, you can select that proxy and the Telegraf install command connects with that proxy. Log in to your Operations for Applications instance, navigate to the integration, and follow the instructions on the Setup tab to install Telegraf and the Wavefront proxy in your environment. If you’ve already installed Telegraf on your servers, you can skip to Step 2. This integration uses the Jolokia input plugin for Telegraf to get the Kafka metrics via JMX. Use the instructions on this page for monitoring:Īpache Kafka Step 1. To see a list of the metrics for this integration, select the integration from. Here’s the screenshot of Kafka on Kubernetes dashboard displaying Kafka metrics: In addition to setting up the metrics flow, this integration also installs dashboards: Kafka on Kubernetes: This explains the configuration of Kubernetes Metrics Collector to scrape Kafka metrics using auto-discovery. Telegraf is a light-weight server process capable of collecting, processing, aggregating, and sending metrics to a Wavefront proxy. By setting up this integration, you can send Kafka metrics into Operations for Applications.Īpache Kafka: This explains the installation and configuration of Telegraf to send Kafka metrics into Operations for Applications. Kafka is a distributed streaming platform. ![]()
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