Java Management Extensions (JMX) is a technology that provides the tools for providing monitoring within applications built on JVM. Using JMX exporter to expose JMX metrics
#KAFKA EXPORTER HOW TO#
We will use the docker images available at:įor tutorials on how to set up Prometheus and Grafana with Docker, check out our articles on How to Deploy Prometheus on Kubernetes, and Connecting Prometheus and Grafana where both articles show different methods to set up a test environment with Docker. We will use docker to set up a test environment of Kafka, Zookeeper, Prometheus, and Grafana. Setting up Kafka monitoring using Prometheus
Monitoring Kubernetes tutorial: using Grafana and Prometheus Monitoring a Python web app with Prometheus For introductions to Prometheus, please refer to our articles below: We are not going to explain the basics of Prometheus in this article in detail. Prometheus is an open-source alerting and monitoring tool developed by SoundCloud in 2012. To find out more details about Kafka, refer to the official documentation. Kafka uses Zookeeper to store its configuration and metadata. Each consumer is identified with a consumer group. Consumers can be distributed across multiple machines. Consumers - Consumers read data from the topic.Producers can either provide the partition number to which the record is to be published or a hash key that Kafka will consistently use to distribute the data to multiple topics. Producers - Producers publish data on the topic.Each record within a topic is assigned a partition along with incrementing offset. A topic consists of the number of partitions. Topics - A topic is a logical entity on which records are published.Primarily, Kafka's architecture consists of: Kafka is a distributed streaming platform. It is very important to monitor the health of Kafka in production deployments so that if your Kafka is trending in a negative direction, then you can catch the issues before it suddenly falls over. At the same time, the out-of-the-box installation of Kafka comes with very basic command line monitoring tools. What makes Kafka good is its very seamless high availability and scalability. Kafka is the most widely used streaming technology built by Confluent. You can use Grafana directly on the MetricFire platform, and try out what you learn in this article.
#KAFKA EXPORTER FREE#
To get started, sign on to the MetricFire free trial. We will also look at some of the challenges of running a self-hosted Prometheus and Grafana instance versus the Hosted Grafana offered by MetricFire. We will use Prometheus to pull metrics from Kafka and then visualize the important metrics on a Grafana dashboard. Kafka is one of the most widely used streaming platforms, and Prometheus is a popular way to monitor Kafka. In this article, we are going to discuss how to set up Kafka monitoring using Prometheus.
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