Kafka monitoring prometheus. Knowledge of SRE Monitoring ...

Kafka monitoring prometheus. Knowledge of SRE Monitoring and logging tools (e. Jan 21, 2026 · A comprehensive guide to monitoring Apache Kafka with Prometheus and Grafana, covering JMX exporter configuration, key metrics, alerting rules, and dashboard creation for production Kafka clusters. This guide reviews top resources, curriculum methods, language choices, pricing, and learning paths to assist aspiring developers in selecting platforms that align with their goals. g. While Prometheus can scrape metrics from various sources, Kafka Exporter offers a specialized solution tailored to Kafka monitoring. The text begins by introducing the challenges of monitoring Kafka, Kafka Connect, and the importance of setting up a complete solution. You can monitor your MSK Provisioned cluster with Prometheus, an open-source monitoring system for time-series metric data. •⁠ ⁠Management and support of Kafka Cloud and on-premises platforms. Below I am going to demonstrate how we can use out of the box solutions using Prometheus and Grafana tools for Self-managing a highly scalable distributed system with Apache Kafka ® at its core is not an easy feat. The prerequisites for this process are Docker and Docker Compose. Kafka consumer lag gives the offset difference between last produced message and the last consumed message. The declarations are under the metrics stanza and define the rules for exposing the Kafka core features. Begin by grabbing Dockerised example of monitoring Apache Kafka with Prometheus and Grafana. If deployed by Strimzi but on different Kubernetes clusters, the list content depends on the approach used for exposing the clusters (routes, ingress, nodeports or loadbalancers). It can run anywhere, but it provides features to run easily on Kubernetes clusters against Strimzi Kafka clusters using the Prometheus and Grafana monitoring stack. The article highlights the utility of Kafka Exporter in providing additional Kafka metrics, which are essential for creating meaningful alerts. Bachelors degree in computer science or related fields. ) Ability to read and analyze Kafka broker logs and JVM metrics Experience working in production environments with high data volume and throughput Good scripting skills (Bash, Shell; Python is a plus) Nice-to-Have / Add-On Skills Monitoring Kafka metrics is essential for maintaining the health and performance of your Kafka clusters. In this guide, we explore the top 5 Kafka monitoring tools for 2025, covering open-source solutions and advanced enterprise dashboards. This project makes use of the prometheus-jmx-exporter which is configured to extract metrics from Kafka's JMX server. Monitoring Kafka Monitoring Kafka with Kafka exporter + Prometheus + Grafana Hi All, For you that read my article about Install and Configure Kafka or is in charge to keep or build a Kafka cluster … Learn how to monitor Kafka performance metrics and the best monitoring tools to maximize Kakfa performance. The author expresses a personal inclination to deploy monitoring components individually rather than using the all-in-one approach of kube-prometheus for better control. Kafka exporter for Prometheus. The Monitoring Kafka metrics article by DataDog and How to monitor Kafka by Server Density provides guidance on key Kafka and Prometheus metrics, reasoning to why you should care about them and suggestions on thresholds to trigger alerts. yml files, and set up Grafana dashboards and alerting rules for efficient monitoring. It allows developers to write complex stream - processing logic in a simple and efficient way. Monitoring Strimzi Kafka clusters with Prometheus In a previous story, I explained how to set up Kafka clusters using Strimzi. Kafka Streams is a powerful library for building stream-processing applications on top of Apache Kafka. , Splunk, Prometheus, Grafana). Kafka — monitor producer metrics with Prometheus and grafana In this article, we will set up a dashboard to monitor Kafka producer metrics, it is important to monitor producer related metrics … Monitoring Kafka clusters ensures system reliability, minimizes downtime, and keeps Kafka performance aligned with SLAs. kafka doesn’t expose any component-specific How to Monitor Kafka Using Prometheus Metrics and Zabbix Prometheus: What is a Time Series Database? Prometheus is an open-source time series database used for gathering data from systems and …. Another option compatible with Confluent Kafka and Apache Kafka is to monitor data exposed directly by Kafka Connect, such as JMX and REST. kafka doesn’t expose any component-specific debug information. The Confluent Metrics API is another option that can be used to collect metrics that may then be integrated with third-party monitoring tools such as Datadog, Dynatrace, Grafana, and Prometheus. yml and kafka-metrics. exporter. Prometheus, on the other hand, is an open - source monitoring and alerting toolkit. Like the last post on this topic, we'll be using the JMX exporter to expose Kafka's metrics for our Prometheus to scrape. That’s why operators prefer tooling such as Confluent Control Center for administering and monitoring their deployments. Contribute to danielqsj/kafka_exporter development by creating an account on GitHub. May 13, 2025 · In this article, I start with a brief overview of Kafka’s core architecture, followed by a hands-on demonstration of how to monitor the real-time streaming process using Prometheus and Grafana. In this article, take a look at Kafka monitoring via Prometheus-Grfana. Third-party exporters Some of these Install and Configure Telegraf on RHEL 8 / CentOS 8 Deploying Prometheus on EKS Kubernetes Cluster How To Install Prometheus and node_exporter on Debian Monitor Etcd Cluster with Prometheus and Grafana Redis Server monitoring with Prometheus and Grafana in 5 minutes Monitor Linux Server Performance with Prometheus and Grafana in 5 minutes We also implement monitoring using JMX Exporter and Prometheus, configure the prometheus. Learn how to monitor Apache Kafka for performance and behavior with metrics, tools, and best practices. A process for collecting metrics using JMX MBeans for Prometheus consumption - prometheus/jmx_exporter This article explores the essential tools and engines in game development, highlighting popular options like Unity and Unreal Engine, and delving into asset creation and emerging technologies like AI. Debug information prometheus. It serves as a guide for choosing the right tools to craft engaging, innovative games. Job Description: Kafka & AMQ Streams Engineering • Design, deploy, and operate AMQ Streams (Kafka) clusters on Red Hat OpenShift. Managing Kafka on Kubernetes with Strimzi Kafka might be hard to manage … Monitoring Apache Kafka with Prometheus What can you find in this repo? This repository contains the building blocs and configurations necessary to setup monitoring with Prometheus for a running Apache Kafka cluster as well as a dummy clients (producers, consumers and kafka streams) that could be used to test the monitoring setup. Experience with Kafka monitoring and metrics (JMX, Prometheus, Datadog, Grafana, etc. We’ll deploy Kafka and Zookeeper, add Kafka Exporter, configure Prometheus to scrape metrics, and set up Grafana dashboards for visualization. For Kafka metrics, Prometheus sends requests to kafka-1:9404, kafka-2:9404, and kafka-3:9404 — these addresses expose Kafka's performance data via JMX Exporter. Kafka Monitoring with Prometheus, Telegraf, and Grafana Kafka monitoring is an important and widespread operation which is used for the optimization of the Kafka deployment. It then proceeds to explain the process of creating a Docker Compose file that includes all the necessary services for monitoring Kafka Connect. That way we can gather Apache Kafka broker… Apache Kafka is a distributed streaming platform widely used for building real - time data pipelines and streaming applications. Prometheus project documentation for Exporters and integrations There are a number of libraries and servers which help in exporting existing metrics from third-party systems as Prometheus metrics. This time however, Kafka and the JMX exporter Java agent will be inside of a Docker container. Needless to say how important it is to monitor your kafka deployment health. Article to show how to monitor the Kafka consumer lag. In this article, we are going to discuss how to set up Kafka monitoring using Prometheus. You can publish this data to Amazon Managed Service for Prometheus using Prometheus's remote write feature. Overview Kafka Lag Exporter makes it easy to view the offset lag and calculate an estimate of latency (residence time) of your Apache Kafka consumer groups. In this post, I will explain how to configure a popular monitoring stack composed of Grafana (data visualization) and Prometheus… Output- Conclusion In conclusion, setting up monitoring for Apache Kafka using Prometheus and Grafana on Ubuntu provides valuable insights into Kafka’s performance, allowing proactive management and optimization of Kafka clusters. Oct 14, 2025 · This blog post will delve into the details of using Prometheus to monitor Kafka consumers, including core concepts, typical usage, common practices, and best practices. Kafka is one of the most widely used streaming platforms, and Prometheus is a popular way to monitor Kafka. Monitoring Kafka is crucial for ensuring its smooth operation, performance optimization, and troubleshooting. kafka is only reported as unhealthy if given an invalid configuration. Install Prometheus Operator We recommend reading Prometheus operator product documentation. Consumer lag is a key performance indicator for Kafka consumers. • Configure and manage Kafka components including brokers, Kraft, MirrorMaker 2, Learn how to deploy Apache Kafka on Kubernetes using Strimzi operator for production-ready message streaming. Coding education platforms provide beginner-friendly entry points through interactive lessons. We will also look at some of the chal Feb 12, 2023 · Needless to say how important it is to monitor your kafka deployment health. Part 5 - Extending the Monitoring for Strimzi Kafka on Kubernetes: Integrating Prometheus and Grafana Last week I wrote a post about how to Monitor Apache Kafka Using Grafana and Prometheus. Kafka — monitor producer metrics with Prometheus and grafana In this article, we will set up a dashboard to monitor Kafka producer metrics, it is important to monitor producer related metrics … This article illustrates monitoring Kafka on Kubernetes using Prometheus and Grafana. This is useful for cases where it is not feasible to instrument a given system with Prometheus metrics directly (for example, HAProxy or Linux system stats). This blogpost assumes that you already have Docker and Docker Compose installed on your machine. Contribute to OneUptime/blog development by creating an account on GitHub. When paired with Azure Managed Grafana, you get access to comprehensive visualization capabilities with pre-built dashboards designed specifically for Kafka monitoring. All the files needed for Prometheus monitoring can be found in the examples/metrics folder in our GitHub repository. Debug metrics prometheus. This article illustrates monitoring Kafka on Kubernetes using Prometheus and Grafana. If on the same Kubernetes cluster, each list must ideally contain the Kafka cluster bootstrap service which is named CLUSTER-NAME -kafka-bootstrap and a port number. They also support Kafka Connect and Apache Zookeeper. An example of Kafka cluster Strimzi based deployment with Prometheus setting can be found in our kafka cluster definition. Prometheus, an open-source monitoring and alerting toolkit, is deployed to collect and store time-series data from Kafka brokers, Zookeeper servers, Schema Registry & Connect instances. Below I am going to demonstrate how we can use out of the box solutions using Prometheus and Grafana tools for kafka Blog for OneUptime . ) Ability to read and analyze Kafka broker logs and JVM metrics Experience working in production environments with high data volume and throughput Good scripting skills (Bash, Shell; Python is a plus) Nice-to-Have / Add-On Skills Knowledge of SRE Monitoring and logging tools (e. The Prometheus support, dashboards and sample alerting rules do not only work with Kafka brokers. We will use Prometheus to pull metrics from Kafka and then visualize the important metrics on a Grafana dashboard. In those cases, exported fields retain their last healthy values. Sep 12, 2020 · Apache Kafka is developed using Java and therefore we are going to need a Java exporter to scrape (extract) metrics so that Prometheus can be able to consume, store and expose. • Configure and manage Kafka components including brokers, Kraft, MirrorMaker 2, The Zabbix Team has collected all official Zabbix monitoring templates and integrations. Experience with monitoring tools like CloudWatch Prometheus and Grafana. - Always add dead-letter queues and monitoring (Prometheus + Grafana is your friend). By using Prometheus and Grafana, you can create a robust monitoring solution to keep an eye on Kafka metrics. •⁠ ⁠Familiarity with monitoring and alerting stacks: Prometheus, Grafana, ELK, or similar. Combining Kafka Streams with Prometheus enables us to gain valuable insights into the performance and health We also implement monitoring using JMX Exporter and Prometheus, configure the prometheus. Familiarity with Kubernetes CICD pipelines and GitOps workflows. Azure Managed Prometheus provides a fully managed, scalable monitoring backend without the operational overhead of managing your own Prometheus instances. Prometheus, on the other hand, is a popular open-source monitoring and alerting toolkit. Experience with AWS MSK and Confluent Cloud. kafka Component health prometheus. Learn about prometheus. 10 years of experience with AWS and Kafka Amazon MSK. Kafka Exporter allows you to focus solely on Kafka-specific metrics, providing deeper insights into the behaviour and performance of your Kafka infrastructure. - Choose Kafka when you need historical replay, massive scale, or stream processing. Previously we've looked at monitoring Kafka using Prometheus. r369, p3tkrz, 6vv94, 1bbz, qv8if, blhgf, kvzuf, bi17, xozr, mytmh,