Kafka consumer lag monitoring grafana

Kafka consumer lag monitoring grafana. 0+ Note: This is a backend plugin, so the Grafana server should've access to the Kafka broker. yml. The job label must be kafka_exporter. Aug 19, 2016 · Monitoring servers or infrastructure usually comes into play, when all bits look fine and are ready to be deployed to production. It is easy to set up and can run anywhere, but it provides features to run easily on Kubernetes clusters. Bug reports or feature requests will be redirected to the upstream repository, if necessary. The kafka-consumer-groups. bat的启动脚本. I am looking for the consumer lag for following scenarios: Producer is publishing to the topic when there are no active consumers - in this case the latest offset would be considered as the consumer lag. The topic is able to consume all the temperature values when the sensor is running, however, when I try to visualize the temperature data in Grafana, the time-series chart is not showing any value accordingly when I've already done the Kafka configuration. Step 1 – Press the + button as shown below. I'm working with Kafka 0. You can then hook this to your Grafana: Manage Consumer Offsets Kafka resource usage and consumer lag overview. Kafka handles immense volumes of data where multiple clients can consume or publish messages on its topics. A Data Visualization application (Grafana) Built in domain intelligence about operating Kafka with confidence in production. About; Blog; FAQ; Contacts loki. Collect logs, key Apache Kafka metrics and events to cut troubleshooting time in half. The consumer group lag metric will be exported to Jan 22, 2024 · If you want to track in a time-series system, such as Prometheus / Grafana the historic values of the Consumer Lag, just add Lenses as a target. Burrow is extremely effective and specialised in monitoring consumer lag. consumer groups and lag. Use Java client metrics and the Kafka Admin API to monitor offset lag. Jan 30, 2024 · # Grafana alert rule example alert: - alert: High Consumer Lag expr: kafka_consumer_group_lag > 10000 for: 1m labels: severity: critical annotations: summary: High Consumer Lag Detected Advanced Kafka Monitoring: Anomaly Detection Using Machine Learning records-lag-max¶ MBean: kafka. The consumer lag predictor for Aiven for Apache Kafka estimates the delay between the time a message is produced and when it's eventually consumed by a consumer group. To verify if you are affected by this, set the max. The tables in the following sections show all the metrics that are available starting at Nov 8, 2022 · With eBPF, you can monitor Kafka from the client side. Only set this to false if using a non-Kafka SASL proxy. Connect using SASL/PLAIN. Kafka Exporter and JMX Exporter will collect some broker metrics from Kafka cluster. We will see how to run it in Docker and Kubernetes along with Prometheus and Grafana. You can also use the Prometheus Node Exporter to get CPU and disk metrics for your brokers at Kafka Lag Exporter Standalone. It provides a metrics like kafka_consumergroup_group_lag with labels: cluster_name, group, topic, partition, member_host, consumer_id, client_id . Observability is an important aspect in software engineering. Jan 25, 2019 · In this page, in the Metrics tab, choose your Prometheus data source from the drop-down list. Monitoring consumer lag allows you to identify slow or stuck consumers that aren't keeping up with the latest data available in a topic. These pods (consumer pods) will scale upon a Kafka event, specifically consumer group lag. jar和config. When working with Kafka consumer groups, the consumer group lag—the difference between the broker’s latest (max) offset and the group’s last committed offset—is a performance indicator of how fresh the data being consumed is. Lag basically indicates how far behind your application is in processing real-time data. We also discussed how Jolokia agent and jmx2graphite push the Metrics in Graphite and then how with the help of Grafana we can create beautiful dashboards. Apr 9, 2019 · Kafka metrics can be broken down into three categories: Broker metrics; Producer metrics; Consumer metrics; There’s a nice write up on which metrics are important to track per category. One can use the below command to view the lag. Grafana dashboards Kafka cluster metrics . Jun 9, 2016 · 1. We’ll demo how to get started using the LGTM Stack: Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics. Get up and running in minutes with the Grafana Cloud free tier, which includes free forever 10k metrics, 50GB logs, 50GB traces, 500 VUh, and more. Kafka resource usage and throughput. This dashboard is templated by consumer group If the microservice is slow to respond, that results in a slow consumer and an increased lag. Feb 24, 2022 · Zookeeper: Tracks the status of Kafka nodes. records to 1 and see if the metrics report a lag. jar and edit config. Overview. Then, collect and analyze metrics related to CPU usage, memory utilization, disk usage, network throughput, request latency, consumer lag and topic details. Consumer metrics. Kafka Overview. In addition to the metrics specific to the REST Proxy listed below, you can also view and monitor the metrics for the underlying producers and consumers. Grafana Loki ingests, stores, and enables querying of the log messages it receives from Promtail, and Grafana provides the capabilities to create dashboards and to visualize the messages. Find Kafka and click its tile to open the integration. You can have partition lag due to other reasons as well. Mar 23, 2022 · 0. Global metrics help you monitor the overall health of the service. Option B: Deploy your application with the prometheus-jmx-exporter as java agent (see here. They allow you to create alerts that can act on data from any of our supported data sources. Then suddenly one question arises: how do we monitor the wellness of our deployment. To learn more about collecting Kafka and ZooKeeper metrics, take a look at Part 2 of this series. Apr 27, 2022 · What Is Consumer Lag in Kafka? Kafka Consumer Lag indicates the difference between the last offset stored by the broker and the last offset committed for that partition. Useful tool for monitoring and troubleshooting a Kafka deployment in a few easy steps. Edit kafka-javaagent startwithagent. Enabling the Kafka Exporter Grafana dashboard 7. Here is an example configuration Jan 8, 2024 · Kafka consumer group lag is a key performance indicator of any Kafka-based event-driven system. Kafka dashboard. The number of returned metrics is indicated on the info page. Wikipedia The Kafka data source plugin allows you to visualize streaming Kafka data from within Grafana. This dashboard gives real time monitoring in Broker health, consumer group stats, consumer lags and much more. Configuring your Kafka deployment to Monitor consumer lag¶ Monitoring consumer lag is essential to help ensure the smooth functioning of your Kafka cluster. We can select the particular topic from the dropdown and see the data related to this topic. Getting started Installation via grafana-cli tool. To monitor offset lag, do the following: Oct 14, 2019 · Having the consumer lag in your Grafana dashboards and being able to configure alerts based on it will make it much easier to monitor your Kafka based applications. However, for the life of me, I cannot this specific alert to fire. 1. Kafka Lag Exporter can run anywhere, but it provides features to run easily on Kubernetes clusters against Strimzi Kafka clusters using the Prometheus and Grafana monitoring stack. 2. – devshawn. Revisions. Now, I am firing the messages via producer in parallel say 50K messages per Second. Read all consumer groups: . consumer:type=consumer-fetch-manager-metrics,client-id="{clientId}" The maximum lag in terms of number of records for any partition in this window. Specify the metrics you are interested in by editing the configuration below. In this tutorial, we’ll build an analyzer application to monitor Kafka consumer lag. sh --new-consumer --describe --group consumer-tutorial Kafka Topics Metrics. 5. consumer:type=consumer-fetch-manager-metrics,client-id=<client_id> To see consumer lag in action, see the scenario in this example. With Kafka Topics Metrics Dashboard we can visualize the Metrics related to the topic. A large consumer lag, or a quickly growing lag, indicates that the consumer is not able to keep up with the volume of messages on a topic. Use the grafana-cli tool to install the plugin from the Oct 12, 2023 · Kafka is one of the most widely used streaming platforms, and Prometheus is a popular way to monitor Kafka. Note that one consumer group could be consuming multiple topics simultaneously, so if you need to get the lag for each topic, you'll have to group and aggregate the result by topic then. In addition to supporting multiple data sources, you can also add expressions to transform your data and set alert conditions. * components. Configuring Kafka Exporter 6. We will use Prometheus to pull metrics from Kafka and then visualize the important metrics on a Grafana dashboard. Beside consumer group lags you can also see some topic or partition specific metrics such as the cleanup policy, partition count and the approximate number of messages (only reliable on delete policy). 导入jmx_prometheus_javaagent-0. If your lag is below 500 the metric will show 0. 9), your consumer will be managed in a consumer group, and you will be able to read the offsets with a Bash utility script supplied with the Kafka binaries. Upgrading AMQ Streams Expand section "7. The kafka_exporter_config block configures the kafka_exporter integration, which is an embedded version of kafka_exporter . Consumer group lag is the difference between the last produced message (the latest message available) and the last committed message (the last processed or read message) of a 6 days ago · To monitor Kafka effectively, you have to set up monitoring for the right metrics, including Kafka broker, producer, consumer and ZooKeeper metrics. For the purpose of this blog entry, I am going to import a dashboard on this link. Wikipedia explains it very well: Observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. Monitor your Streaming Data platform and route alert notifications for your Apache Kafka infrastructure and real-time applications (consumer & producer SLAs) as well as audit logs. Lenses continuously monitors: user actions for auditing purposes. One solution is to outsource it. You can monitor Kafka consumer lag with Confluent Cloud using the Metrics API or the Cloud Console. Set up anomaly detection or threshold-based alerts on any combination of metrics and filters. 3. Its time to import a grafana dashboard for Kafka lag monitor. Typically, a dashboard that shows the lag for every X minutes is needed to monitor the lag Lenses Kafka Monitoring tool provides pre-defined templates, that use. Both partition lag and consumer lag are essential metrics for monitoring the health and performance of Kafka consumer groups. Then as you scroll down it breaks the status and lag out by every partition for the topic. Using images in alert notifications is also supported. You can set the monitoring level for an MSK cluster to one of the following: DEFAULT, PER_BROKER, PER_TOPIC_PER_BROKER, or PER_TOPIC_PER_PARTITION. Reasons for Kafka consumer lag. Because Kafka relies on ZooKeeper to maintain state, it’s also important to monitor ZooKeeper. See the blog post for how to setup the JMX Exporter to use this dashboard. kafka reads messages from Kafka using a consumer group and forwards them to other loki. I want to alert if the consumer lag is greater than N. windows启动kafka-javaagent startwithagent. Monitoring Kafka lag. 4. For more information, see Collector for Confluent Cloud and Kafka monitoring. Scale and redundancy are handled as follows: As you can see, the Kafka Broker creates the Topic grafana with four Sep 12, 2020 · Moreover, monitoring the host server where Kafka is installed is beneficial in order to have an idea of its resources and to be on the lookout before things get out of hand. For an example that showcases how to monitor Apr 7, 2019 · 1. When necessary, you can then take remedial actions, such as scaling or rebooting those consumers. Consumer lag is simply the delta between the consumer’s last committed offset and the producer’s end offset in the log. Installation and setup Kafka and Prometheus JMX exporter. Path: with Grafana Alerting, Grafana Incident, Grafana OnCall, and Grafana SLO KMinion Consumer Group Dashboard May 29, 2022 · kubectl apply -f kafka-metrics-config. The component starts a new Kafka consumer group for the given arguments and fans out incoming entries to the list of receivers in forward_to. Apache Kafka v0. kafka, Kafka should have at least one producer Monitor & alerts. Dec 6, 2022 · Kafka console consumer. Mar 17, 2021 · In this KnolX session (video), you will understand the basic overview of JMX metrics and the monitoring setup of Grafana-Graphite with the help of jmx2graphite and Jolokia agent. Correct, you will see consumer group lag in kafka-consumer-groups. 9. However, it does not store the metrics for historical analysis. Prometheus A comprehensive Kafka cluster monitoring dashboard with Elasticsearch as the datasource. This, internally, calculates the lag via the __consumer_offsets topic. Kafka usage and throughput. And I have create One Consumer inside a Group and its only able to fetch 30K messages per second. The dashboard for metrics collected by kafka_exporter. Execute sudo service telegraf restart to restart the Telegraf agent. We built it to get reliable (on duty) alerts on consumer group lags, but it turned out we can use the exported prometheus metrics to build a couple more useful dashboards - which eventually helped us figuring out some nasty irregularities (lots of consumer group offset commits by single groups, only specific partitions lagging behind, producers Mar 19, 2019 · Kafka monitoring is an important and widespread operation which is used for the optimization of the Kafka deployment. You can see what's happening from the perspective of both Producer and Consumer applications, and you can measure Producer-Consumer latency from each individual client. Producer is Dec 16, 2022 · Kafka Lag Exporter. The metrics that you configure for your MSK cluster are automatically collected and pushed to CloudWatch. It provides more different kafka metrics. Prometheus is an open source systems monitoring and alerting toolkit that, with Kubernetes, is part of the Cloud Native Computing otelcol. You can test this by checking the query result of kafka_streams_kafka_metrics_count_count. Aug 5, 2020 · This does not have historical data, but provides a good current visual state of Kafka cluster including lag. Apache Kafka exposes over 100 metrics, you can view all of them in our out-of-the-box dashboards. In the following textbox enter your metric name which is librdkafka_consumer_lag (Grafana Lenses monitors in real-time your Streaming Data Platform and your Kafka cluster and will raise alerts for any significant metric degradation, such as consumer lag, offline or under-replicated partitions and producer SLAs. com May 7, 2019 · Introducing Kafka Lag Exporter, a tool to make it easy to view consumer group metrics using Kubernetes, Prometheus, and Grafana. Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Kafka metrics to your Grafana Cloud instance. bat for Windows system to start kafka, Such as: powershell. The key metrics to monitor for consumer lag is the MBean object: kafka. consumer. 2. Example integration of a Kafka Producer, Kafka Broker and Promtail producing test data to Grafana Cloud Logs, see architecture Requires Docker and Docker Compose Configure the environment variables Monitoring Mirror Maker and kafka connect cluster. Use Confluent Control Center to monitor consumer latency. To use the consumer lag predictor effectively, set up In contrast, partition lag measures the backlog of messages in a partition. 1:9092 --list. A docker compose with Kafka Lag Exporter + Prometheus + Grafana + a Dashboard to view the latency of your Apache Kafka consumer groups. I am setting up the new Kafka cluster and for testing purpose I created the topic with 1 partition and 3 replicas. This is what I did - Kafka data source / Kafka 6. Apr 30, 2022 · Kafka Lag Exporter provides features to run easily on Docker and Kubernetes clusters. sh provides details about the lag for all partitions. Map<TopicPartition, Long> lags = lagOf(brokers, group); Map<String, Long> topicLag = new HashMap<>(); lags. We will also look at some of the challenges of running a self-hosted Prometheus and Grafana instance versus the Hosted You can collect metrics about your Confluent Cloud-managed Kafka deployment with the New Relic OpenTelemetry collector. yaml -n monitoring kubectl apply -f zookeeper-metrics. loki. Upgrading AMQ Streams" Collapse section "7. This information can be used to improve the performance, scalability, and cost-effectiveness of your Kafka cluster. sh output. /kafka-consumer-lag-monitoring-console-0. For Apache Kafka performance monitoring there are a couple of offerings available, like: kafka Apr 6, 2016 · Kafka metrics can be broken down into three categories: Kafka server (broker) metrics. kafka. 5- Deploy Prometheus - About a month ago, we connected Grafana Cloud & Prometheus to Confluent Cloud's Metrics API. NOTE: otelcol. 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. 0 -b kafka1:9092,kafka2:9092,kafka3:9092 -c "my_awesome_consumer_group_01" -p 5000 Consumer group: my_awesome_consumer_group_01 ===== Topic name: topic_example_1 Total topic offsets: 211132248 Total consumer offsets: 187689403 Total lag: 23442845 Topic name: topic_example_2 Total topic offsets Connect Kafka to Datadog to: Visualize the performance of your cluster in real time. The REST Proxy has two types of metrics. Address array (host:port) of Kafka server. A Time Series database (Prometheus) Custom JMX exporters. 3. The easiest way to view the available metrics is to use jconsole to browse JMX MBeans. kubectl apply -f kafka. Use jmx_prometheus_javaagent-0. May 29, 2018 · In few words, this is what will happens : 1. This dashboard is templated by consumer group and topic. Continuously checking the current offset processed by Structured Streaming Dec 17, 2022 · To use the Kafka Consumer Offset Checker, you will need to install Apache Kafka and create a consumer group. An increasing value over time is your best indication that the consumer group is not keeping up with the producers. Reqirements. It is capable of publishing messages, storing and processing records in real-time. Upgrading AMQ Streams" 7. Then, you can use the following Spark code to check the consumer lag: The Kafka You can use sscalling/jmx-prometheus-exporter. It will show you a high level of data for the group as a whole, such as the status, the total lag, and the max lagging partition. Strimzi Simple agent setup with extremely low overhead and no dependencies. Apr 25, 2018 · Kafka resource usage and consumer lag overview. yaml -n monitoring. bin/kafka-consumer-groups. Four common reasons for consumer lag are (1) Incoming traffic surges, (2) Data skew in partitions, (3) Slow processing jobs, and (4) Errors in code and pipeline components. 1 new consumer API. In order to monitor the consumer lag, you need to bring those informations together: Continuously requesting latest offsets within a TopicPartition. See full list on grafana. Example Kafka Exporter alerting rules 6. The instance label for metrics, default is the hostname:port of the first kafka_uris. Kafka Topic metrics exported by KMinion. how much lag there is between Kafka producers and consumers. Dashboard for Basic AWS MSK Cluster metrics visualisation Aug 27, 2017 · If you’re using the Kafka Consumer API (introduced in Kafka 0. Use jmx_exporter to collect Kafka metrics. Before using loki. It is what actually stores and serves Kafka messages. For this consumer I would like to see its progress (meaning the lag). conf to add Kafka cluster. yaml -n kafka. records which is 500 by default. poll. Grafana-managed rules are the most flexible alert rule type. 0 metrics using Prometheus and present them with Grafana dashboards. Use JMX metrics to monitor offset lag. The goal of this note is to go over some of the details on how to monitor Mirror Maker 2. /kafka-consumer-groups. Producer metrics. This allows for the collection of Kafka Lag metrics and exposing them as Prometheus metrics. A 360-degree of the key metrics of your Kafka cluster is curated into a single template that allows time travel between the past 60 days (by default) of key metrics and pro-actively receives alerts and notifications when your streaming platform is under pressure or signals of partial failures appear. As a result, we’ll see the system, Kafka Broker, Kafka Consumer, and Kafka Producer metrics on our dashboard on Grafana side. Check if prometheus is scraping your application. Kafka provides a default mechanism to monitor the lag of a cluster. We strongly recommend that you configure a separate user for the Agent, and give it only the strictly mandatory security Mar 19, 2023 · A Lag monitoring system to monitor the lag between the consumer and the topic in real time is mandatory. That is the reason why we added support for Kafka Exporter. Kafka Minion Dashboard Kafka Minion is a promethues exporter to monitor consumer group lags on a Kafka cluster. You can do this with various monitoring tools and techniques, such as Kafka's built-in metrics reporting, third-party monitoring solutions, and custom scripts or dashboards. The collector is a component of OpenTelemetry that collects, processes, and exports telemetry data to New Relic, or any observability back-end. If you do not already have existing installations of Grafana and Prometheus please visit Kafka Dashboard. Confluent Control Center is a commercial web-based tool for managing and monitoring Kafka clusters that allows users to view the performance, health, and consumption of brokers, topics, partitions Mar 27, 2020 · On the other hand, Spark has no insight into the amount of messages/offset that are currently located in the Kafka topic. Prometheus will collect these metrics and store in it´s time series database. Apache Kafka, or simply Kafka, is a distributed data streaming platform commonly referred to as a messaging system. Consumer Lag. Burrow is good at caliberating consumer offset and more importantly validate if the lag is malicious or not. receiver. Aug 7, 2019 · This is a quick guide for autoscaling Kafka pods. my-group-01. 18. The metric is depending on the consumer property max. To import a grafana dashboard follow these steps. kafka is a wrapper over the upstream OpenTelemetry Collector kafka receiver from the otelcol-contrib distribution. We are getting all of the metrics, and it is really helpful to be able to better monitoring things like consumer lag. Getting started with the Grafana LGTM Stack. source. 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. Update kafka-consumer-lag\kafka-lag-exporter\application. To monitor consumer lag, you can use Amazon CloudWatch or open monitoring with Prometheus. . Apr 7, 2018 · Kubernetes Kafka Overview, Burrow consumer lag stats, Kafka disk usage - ignatev/burrow-kafka-dashboard For information about Apache Kafka metrics, see Monitoring in the Apache Kafka documentation. streaming data infrastructure. To connect Azure Monitor from Grafana, we need to have Jun 7, 2020 · So our Prometheus server is now able to scrape Kafka lag monitor for metrics. Monitoring Consumer lag 6. 9+ Grafana v8. Docker. This check has a limit of 350 metrics per instance. I am trying to setup a Kafka monitoring dashboard (based on the app logs) to show the consumer lag for the given topic. Consumer lag metrics are pulled from the kafka-lag-exporter container, a Scala open source project that collects data about consumer groups and presents them in a scrapable format. You must manually provide the instance value if there is more than one string in kafka_uris. Jun 25, 2023 · Apache Kafka. Correlate the performance of Kafka with the rest of your applications. forEach((tp, lag) -> {. group:type=ConsumerLagMetrics. Exposing Kafka Exporter metrics 6. Restart Telegraf. Note: This dashboard requires prometheus metrics provided by Kafka Minion: https Burrow Consumer Lag. The observability Apr 8, 2019 · Kafka Reduce Lag for Consumer. Consumer lag is a combination of both offset lag and consumer latency. While consumer lag causes partition lag, it is not the only cause of partition lag. Since I added the group id consumer-tutorial as property, I assumed that I can use the command. Along with Apache Kafka metrics, consumer-lag metrics are also available at port 11001 under the JMX MBean name kafka. Teams can monitor Kafka consumer lag with the consumer group script, Burrow (a Kafka monitoring companion), or Monitoring Kafka typically entails keeping track of critical metrics like message throughput, latency, broker resource utilization, and consumer lag. 4- Update the Kafka resource with jmxPrometheusExporter to scrape the jmx metrics and kafkaExporter for exporting the topic and consumer lag metrics. Consumer lag is a combination of both offset lag and consumer latency, and can be monitored using JMX metrics and Confluent Control Center. Monitoring Kafka consumer lag. At the same time, eBPF means that you can integrate Kafka monitoring more elegantly into your broader monitoring strategy. sh --bootstrap-server 127. 6. If prometheus is scraping correctly, the dashboard should work. When consuming messages from Kafka it is common practice to use a consumer group. producer SLAs. Oct 11, 2021 · 1 Answer. Lenses integrates with Prometheus and Grafana to export Nov 16, 2021 · 5. This process may be smooth and efficient for you by applying one of the . Although you can see metrics such as lag from the command line tools, it does not mean that the metrics are exposed via JMX from the broker. Reviews. The job label must be kafka. For us Under Replicated Partitions and Consumer Lag are key metrics, as well as several throughput related metrics. Lenses calculates and makes available consumer lag info in a prometheus compatible format under the Lenses API: <your-lenses-host>/metrics. You can think of a Kafka Broker as a server in Kafka. kafka accepts telemetry data from a Kafka broker and forwards it to other otelcol. Create Service Principal/Azure Managed Identity. The consumer is manually assigned to a partition. Kafka is an open-source stream-processing software platform written in Scala and Java. To satisfy that need that you will soon have, this guide will focus on how to monitor your Kafka using familiar tools, that is Prometheus and Grafana. Grafana will connect on Prometheus to show some beautiful dashboards. Dec 2, 2019 · Consumer lag must be reported to Prometheus so that engineers can access a single monitoring UI (Grafana) to inspect application performance. 0. Kafka Exporter is a great open source project from Daniel Qian and other contributors - thanks for all your work. Rebuild or not rebuild a Consumer lag reporting spring-kafka消费端metrics Apr 22, 2021 · This blog post does not review that information; rather, the focus is on two other metrics exporters: kafka-lag-exporter and ccloud-exporter. Oct 23, 2020 · Part 3: Monitoring our Strimzi Kafka Cluster with Prometheus and Grafana; Prometheus. zo uh hs mw vj mx mj dw lc py