![]() Make sure to change targets in the snippets according to your environment. To scrape it, add the snippets above to your agent configuration file. The JMX exporter exposes a /metrics endpoint. Post-install configuration for the Kafka integrationĪfter enabling the metrics generation, instruct Grafana Agent to scrape your Kafka nodes. Click Install to add this integration’s pre-built dashboards and alerts to your Grafana Cloud instance, and you can start monitoring your Kafka setup.Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Kafka metrics to your Grafana Cloud instance.Find Kafka and click its tile to open the integration.In your Grafana Cloud stack, click Connections in the left-hand menu. ![]() Install Kafka integration for Grafana Cloud Security privileges necessary for monitoring your node, as per the documentation. We strongly recommend that you configure a separate user for the Agent, and give it only the strictly mandatory For more details on how to configure your Kafka JVM with the JMX exporter, please refer to the JMX Exporter documentation. The following files should be used for each respective kafka component. In order for the integration to work, you must configure a JMX exporter on each instance composing your Kafka Cluster, including all brokers, zookeepers, ksqldb, schema registries and kafka connect nodes.Įach of these instances has its own JMX Exporter config file. This integration includes 8 useful alerts and 7 pre-built dashboards to help monitor and visualize Kafka metrics. My Spark programs is running on dataproc (i.e.Grafana Cloud Kafka integration for Grafana CloudĪpache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. None of the consumer groups mentioned in the kafkaUser yaml are coming up in the metric -> kafka_consumergroup_lag # Change to match the topics used by your HTTP clients # Topics and groups used by the HTTP clients through the HTTP Bridge # Note that these are missing the '_sum' metric! # Emulate Prometheus 'Summary' metrics for the exported 'Histogram's. # Generic gauges with 0-2 key/value pairs # Generic per-second counters with 0-2 key/value pairs # Some percent metrics use MeanRate attribute Name: kafka_server_$1_connections_software Name: kafka_server_$1_connections_tls_info # See for more info about JMX Prometheus Exporter metrics Here are the yamls: kafka-deployment.yaml (contains the kafkExporter tag) The consumer group is showing up in metric : kafka_consumergroup_members -> ![]() The issue is - KafkaExporter does not seem to be showing the Consumer group, when i check the metric -> kafka_consumergroup_lag I'm running a Spark StructuredStreaming programs which reads data from Kafka topic. Kafka Topic has acls, and a Consumer Group (spark-kafka-source-*) defined which can read data from the topic. I've a Strimzi Kafka cluster on GKE, and I've kafkaExporter deployed as well.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |