Kafka consumer lag metrics prometheus example. 4 Advanced Metric Collection with Prometheus and Grafana.
Kafka consumer lag metrics prometheus example. sh script provided with Kafka and run a lag command similar to this one: The result would be the lag for the provided consumer group. For example, the following PromQL query would return non-empty result when the current value for kafka_consumergroup_lag exceeds the value 20 minutes ago: kafka_consumergroup_lag > kafka_consumergroup_lag offset 20m. 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. It comes in two flavors Kafka Server JMX Metrics. But some important metrics are missing. Now, lets see how we can monitor them. The query I have so far: Monitoring consumer lag allows you to identify slow or stuck consumers that aren't keeping up with the latest data available in a topic. May 29, 2018 · Basically, if you are using a container cluster to run your apps, you can add 3 new containers (kafka-exporter , prometheus and grafana) to monitor your kafka cluster. Prometheus expects its own format for metrics and thus provides small applications called exporters that can translate metrics from various software. This will enable jmx The metrics that you configure for your MSK cluster are automatically collected and pushed to CloudWatch. Kafka Architecture. AppsFlyer is a SaaS mobile marketing, analytics, and attribution platform. Find Kafka and click its tile to open the integration. Kafka Exporter is provided with AMQ Streams for deployment with a Kafka cluster to extract additional metrics data from Kafka brokers related to offsets, consumer groups, consumer lag, and topics. objectName='kafka. Specify the metrics you are interested in by editing the Apr 30, 2022 · Though the primary function of CMAK is to manage the Kafka clusters, it can be also used to visualize Kafka consumer lag and other important Kafka metrics. It is very important to track their performance characteristics, which can be divided into three main categories: Kafka system metrics. However, it does not store the metrics for historical analysis. 0 the dashboard we have is fairly basic. This, internally, calculates the lag via the __consumer_offsets topic. Kafka Broker(s) ZooKeeper metrics as Kafka relies on it to maintain its state; Producer(s) / Consumer(s), in general sense, which includes Kafka Connector cluster; Kafka Broker, Zookeeper and Java clients (producer/consumer) expose metrics via JMX (Java Management Extensions) and can be configured to report stats back to Prometheus using the Jun 22, 2023 · blog. The tables in the following sections show all the metrics that are available starting at Jun 13, 2023 · In this example, the “order_consumer_group” has a total lag of 500, indicating that there are 500 messages yet to be consumed by the consumers within the topic “orders. Connect Kafka to Datadog to: Visualize the performance of your cluster in real time. 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. Enable Kafka Exporter. The exported targets use the configured in-memory traffic address specified by the run command . ” I have a Kafka Connect sink running. In order to efficiently store and query, I am thinking of storing these timeseries in Prometheus. max. Configure metricbeat in each Kafka broker instances and send the metrics to an Elasticsearch. In Connect to Kafka using TLS. such as Prometheus and Grafana, to monitor Install Kafka integration for Grafana Cloud. yaml as. First of all, we need to add metrics to our Kafka resource. Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Kafka metrics to your Grafana Cloud instance. If your lag is below 500 the metric will show 0. Navigate to the Alert tab in the panel settings and configure your alert rules. Setting up Kafka monitoring using Prometheus. Dec 10, 2020 · Apache Kafka at AppsFlyer. I initially obtained the consumer lag on a topic per partition running the consumer-groups. Confluent Control Center. Aug 7, 2019 · These pods (consumer pods) will scale upon a Kafka event, specifically consumer group lag. Collect Kafka performance metrics via JMX Feb 4, 2021 · It’s probably the easiest way to export the consumer lag from a Confluent Cloud deployment to Prometheus. All of these Kafka components have their own metrics to be monitored, which break down into the following overall groups of metrics: Kafka Broker metrics. rules. Introduction to Prometheus. @mcascallares Yes we have reviewed this tool and have it working. This project is designed to run with Docker. s. Another option is building custom Prometheus exporters for producer and consumer and add the exporters` endpoints to Prometheus configuration as datasources. Apr 6, 2016 · A properly functioning Kafka cluster can handle a significant amount of data. groups: - name: alerts. apiVersion: v1. Apr 22, 2021 · 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. Then, you need to configure Prometheus to scrape the Kafka metrics from the kafka_exporter. Enable Spring Actuator with Prometheus in your Spring project and configure the Prometheus server to read from it. 4. poll. This scenario will look at metrics from various sources. In the last table in the Consumer Fetch Metrics section in the docs, you can see that Consumers emit lag (and lead) per topic-partition. Use Java client metrics and the Kafka Admin API to monitor offset lag. consumer. Oct 12, 2023 ∙ 10 min read. l. yaml. ) The configuration file for the Kafka integration is in the kafka. Where the consumer group is the Elasticsearch sink connector, and the topic also must be May 5, 2023 · For example, if your publisher publishes 1 million events and the current offset of your consumer is 900,000, the consumer lag would be 100,000. To monitor consumer lag, you can use Amazon CloudWatch or open monitoring with Prometheus. To verify if you are affected by this, set the max. ca-file. com. rules: - alert: excessive_consumer_group_lag. Collect zookeeper based kafka consumer group offsets per topic and partition; Collect kafka topic offsets per partition; An example rules file and grafana dashboard are included. Oct 11, 2021 · The metric is depending on the consumer property max. 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. I am getting 300K+ metrics/Minute in a kafka topic as timeseries. consumer:type=consumer-fetch-manager-metrics,client-id=id' attribute='records-lag-max' The metrics data is used, for example, to help identify slow consumers. valyala. kafka-manager) that can compute lag by consuming messages from this topic and calculating lag. 0 we will release an improved Grafana dashboard which uses more of the different metrics provided by the Kafka Exporter. There are tools (e. Flooding the network with too much data may cause some packets to be dropped and re-transmitted, which slows the speed at which they reach consumers. Feb 18, 2024 · This data, which you can push to Prometheus using a tool like Kafka Exporter and translate to actual seconds (or milliseconds) using Kafka Lag Exporter, provides an idea of how many messages have been ingested by brokers within the Kafka cluster, but have not yet been received and processed by Consumers. I am trying to write a query to have an alert when either of these consumer group lag increases beyond the average lag. topic: "$2". 1 Tracking Consumer Group Lag. May 7, 2019 · Kafka Lag Exporter will poll Kafka for consumer group information and transform it into Prometheus metrics. Useful tool for monitoring and troubleshooting a Kafka deployment in a few easy steps. Along with Apache Kafka metrics, consumer-lag metrics are also available at port 11001 under the JMX MBean name kafka. records which is 500 by default. All the YAMLs needed to add metrics to our Kafka cluster are available inside the examples folder inside the Strimzi package. 0. Metrics about Confluent Cloud cluster resource usage are pulled from the Metrics API endpoints Jan 25, 2019 · In this page, in the Metrics tab, choose your Prometheus data source from the drop-down list. The visualisation tool which satisfy my requirement is Grafana. The consumer group lag metric will be exported to Prometheus by a sidecar in the pod (we will be using Apr 27, 2022 · The basic way to monitor Kafka Consumer Lag is to use the Kafka command line tools and see the lag in the console. I am not sure but here is how you can check: Restart your consumer application with JMX enabled. Apr 8, 2019 · Each server acts as a leader for some of its partitions and a follower for others so the load is well balanced within the cluster. This dashboard requires a JMX agent reporting statistics from a Kafka Java consumer into Prometheus. Update kafka-consumer-lag\ymck\config\consumer. Broker metrics. To collect JMX metrics from your consumers and producers, follow the same steps outlined above, replacing port 9999 with the JMX port for your producer or consumer, and the node’s IP address. If you are already using Prometheus and Grafana for monitoring of built-in Kafka metrics, you can configure Prometheus to also scrape the Kafka Exporter Prometheus endpoint. 2 Basic Kafka Metrics to Monitor. labels: clientId: "$1". 14. Documents about exposed Prometheus metrics. Nov 1, 2023 · I am trying to expose the Prometheus metric that shows LAG value in each Kafka topic. We can use the kafka-consumer-groups. Kafka exporter for Prometheus. Metrics details The prometheus/ directory contains the necessary building blocks to setup the a dockerized prometheus instance as well of using jmx_exporter to be able to pull jmx metrics out of the kafka clients and the brokers into prometheus. Each message goes through the broker before being used. This collector supports collecting metrics from multiple instances Prometheus with Kafka Exporter. I want to store and query the data. Mar 29, 2021 · Monitoring Your Event Streams: Tutorial for Observability Into Apache Kafka Clients. I have a Kafka topic with 3 consumer groups, these 3 consumer groups are used by 3 different services. You can monitor Kafka consumer lag with Confluent Cloud using the Metrics API or the Cloud Console. valensas. Jan 30, 2024 · 1. In this example, I´m using a cluster of docker in swarm mode to demonstrate. 6 or higher. answered Jan 25 at 14:38. Table of Contents. Metrics. The number of returned metrics is indicated in the Agent status output. (See the documentation for more information on how these two integrations work together. Brokers. An increasing value over time is a good indication that the consumer group is not keeping up with the producers. Kafka Lag Exporter is maintained by Sean Glover ( @seglo) and a community of contributors. Getting Started. In your Grafana Cloud stack, click Connections in the left-hand menu. And a bunch kafka clients (consumers, producers) Sep 26, 2018 · … partition (micrometer-metrics#878) The kafka consumer fetch manager metrics have been registered too many times and therewith also for the wrong mbeans. The metrics data is used, for example, to help identify slow consumers. Not working yet: Consumer groups from kafka; Consumer groups from storm; black/white list of topics and gorups; TLS support; Defaults for config values read form yaml Jun 24, 2020 · Try using offset modifier. cert-file. Feb 26, 2021 · The procedure used for implementing autoscaling with a custom Prometheus metric that was collected from an Amazon ECS service by Container Insights is exactly the same as above. bindTo(promRegistry) Apr 6, 2016 · To monitor Kafka with Datadog, you will need to edit both the Kafka and Kafka consumer Agent integration files. For information about Apache Kafka metrics, see Monitoring in the Apache Kafka documentation. yml” to add your zookeeper information. There are some Kafka consumers in the project, and for each @KafkaListener spring is generating some metrics. records to 1 and see if the metrics report a lag. In order to make sure Prometheus is scraping right, navigate to Status Aug 2, 2023 · The next level of detail available is consumer group metrics, this is found under “Kafka Consumers” -> Consumer Group -> Metrics, and then Consumer Group Topics and Clients (i. 8), newer versions of Kafka have special topic __consumer_offsets that stores each consumer's lag. Elasticsearch introduced the consumer lag collect feature in 7. @mcascallares ’s suggestion is a good alternative. Limited support for monitoring other Kafka metrics. (records-lag-max) Jan 24, 2019 · Monitoring the server metrics seems fairly trivial but I am confused with the kafka consumer metrics specifically lag. 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. Feb 18, 2024 · Network and hardware issues. Enable JMX metrics for our brokers. , consumer groups can be subscribed to > 1 topic, and the metrics are computed per client). Example: cert* Product version The Kafka Consumer Metrics monitor type monitors the metrics of the Kafka consumer. Specializes in monitoring Kafka consumer lag. handshake, you could add flag --no-sasl. Define conditions (e. Update ZK_HOSTS in “docker-compose-ymck. This check has a limit of 350 metrics per instance. It is not configurable in what metrics does it offer - you can only limit for which topics / consumer groups it will show the metrics. Correct, you will see consumer group lag in kafka-consumer-groups. Kafka metrics can be broken down into three categories: Kafka server (broker) metrics. Confluent Control Center provides a UI with “most important” metrics and allows teams to quickly understand and alert on what’s going on with the clusters. Requires additional components for alerting. Those are some Kafka performance metrics. Spring Kafka already exposes Kafka metrics as a JMX metrics. Kafka topic with lot of timeseries -> Prometheus -> Grafana Plugin: go. bytes and fetch. relabel component to rewrite the targets’ label sets or to a prometheus. ⚠️ This dashboard has some sample thresholds, this example is not meant to fit all use cases nor is it meant for production. Consumer producer Jun 16, 2023 · First, you need to configure and run the kafka_exporter, which will expose Kafka metrics via the Prometheus format. You can use the kafka_consumergroup_current_lag metric to monitor the consumer group lag. consumer:type=consumer-fetch-manager-metrics,client-id=([-. For this reason we will download and install a Prometheus exporter so that we can pull Kafka’s metrics. Using JMX exporter to expose JMX metrics. See demonstration of monitoring Spring boot apps here. Below you can find an example of how to instrument Apache Kafka with Micrometer. Problems with your infrastructure – including both your network and the servers that host your Kafka cluster – could lead to consumer lag. docker-compose up -d. Jun 11, 2019 · 2019-06-11 12:13:45. Click + in the left pane, and select Add a new panel. I have the Prometheus exporter set up and working on all nodes. When necessary, you can then take remedial actions, such as scaling or rebooting those consumers. Kafka Lag Exporter is an Akka Typed application written in Scala. 0 lag-max in Micrometer: 9. Hi @zachariahyoung, per this doc at the moment this isn’t possible using the metrics API. You can also use the Prometheus Node Exporter to get CPU and disk metrics for your brokers at Monitoring Kafka typically entails keeping track of critical metrics like message throughput, latency, broker resource utilization, and consumer lag. 1 Accessing Metrics via JMX. Teams can monitor Kafka consumer lag with the consumer group script, Burrow (a Kafka monitoring companion), or generic monitoring tools and Overview. 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. Mar 4, 2021 · My question is that if I want Prometheus to scrape all the JMX metrics from Kafka; Is there any ready JMX configuration file to pass to the configmap instead of the current one. 6 and that’s the reason for my recommendation on this version or higher. These metrics are ultimately also reported as CloudWatch custom metrics similar to the ones published using CloudWatch SDKs. Feb 12, 2023 · Once above basic installation steps are done, below is how to integrate them all together. Prometheus and Grafana, on the other hand, provide a playground for creating dashboards pertaining Sep 12, 2020 · It gives developers the ability to expose metrics, statistics, and basic operations of a Java application in a standard way that Prometheus understands. JVM metrics. Comprehensive cluster management and monitoring. Metrics are gathered by periodically sending HTTP requests to Kafka Consumer Lag Monitoring. Apr 6, 2016 · All the JMX paths for Kafka’s key metrics can be found in Part 1 of this series. Excellent metric visualization and querying capabilities. sh output. Each of the consumers' metrics are bound to this Prometheus Registry by: KafkaClientMetrics(consumer). This collector is supported on all platforms. Used to verify the hostname on the returned certificates unless tls. For example: If you need to disable sasl. 2 Integrating Prometheus with Kafka. import (. A docker compose with Kafka Lag Exporter + Prometheus + Grafana + a Dashboard to view the latency of your Apache Kafka consumer groups. w]+) Consumer lag used to be stored in ZooKeeper (Kafka <= v0. It provides a baseline for identifying Jul 20, 2021 · The Kafka Exporter is a separate tool which provides additional metrics not provided by Kafka itself. config. Here’s the Apache Kafka documentation for Consumer Group Metrics. In this example, the consumer waits for a minimum of 5KB of data or 500ms before fetching. server-name. The Kafka ecosystem is based on the JVM and as such exports metrics via JMX. KafkaMessageListenerContainer : partitions assigned: [so56540759-0] foo0 lag records-lag:9. I'd like to monitor the lag for this. For example, the targets can either be passed to a discovery. Jun 19, 2020 · Now you can view Prometheus UI serving on port 9090 and you can see Kafka producer metrics being captured in Prometheus. Apr 18, 2018 · I checked these metrics, but the curves are flat, stuck at 0. There is also the consumer_offsets topic which I believe reveals the lag as well. 0 lag-max in Feb 18, 2022 · records-lag Number of records for any partition in this window. B. . 840 INFO 32187 --- [o56540759-0-C-1] o. The time between dequeuing the response and completing send is indicated by this metric. that will give me something like: Saved searches Use saved searches to filter your results more quickly 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. I added this pattern in prom-jmx-agent. This is a comprehensive dashboard showing the overall healthiness of your Kafka cluster, including how many brokers are alive in the cluster; metrics for your partitions; JVM, throughput, requests, and response queues size; Zookeeper connections; and producer and consumer metrics. 2. d/ subdirectory, and the Kafka consumer integration’s configuration file is This dashboard work with metrics collected using metricbeat 7. Correlate the performance of Kafka with the rest of your applications. May 7, 2023 · My requirement is to retrieve the number of unconsumed messages[consumer lag] a given topic from this listener when a REST API is invoked passing the topic name as an input. Sep 6, 2021 · The application consists of four threads (i. , email, Slack) Example: # Grafana alert rule example. Kafka Exporter- Kafka brokers provide a lot of useful metrics related to the broker state, usage, and performance. For example it doesn’t provide any metrics about the consumer lag or information about topics. We help app marketers make better decisions on their running campaigns using a variety of tools found in our platform. Kafka Lag Exporter Standalone. Monitoring Kafka consumer lag. tls. broker-request-response-queue-ms: Responses too are added to a May 29, 2022 · Prometheus JMX exporter project takes the JMX metrics and exposes them as Prometheus endpoint. Setting up instrumentation with Apache Kafka on the Oct 23, 2020 · And also, details about topics, unconsumed messages and Consumer Lag. Sep 2, 2021 · 1. Here is a sample of the Prometheus time series for the metric spring_kafka_listener_seconds_count Dec 10, 2018 · 2. Aug 19, 2020 · consumers lag; partition lag per topic and consumer; status of the consumers; Dashboard supports templating that provides dynamic update data according to the chosen topic/consumer group and etc Mar 15, 2024 · I am trying to enable consumer lag monitoring with cp-kafka using JMX metrics. , when the consumer lag is above a certain threshold) Specify notification channels (e. A Prometheus server will then scrape and store these metrics so that they can be made available to any downstream metrics monitoring software, such as for the purposes of alerting of dashboarding. 4 Advanced Metric Collection with Prometheus and Grafana. g. Kafka Exporter extracts additional metrics data from Kafka brokers related to offsets, consumer groups, consumer lag, and topics. Oct 26, 2020 · If your goal is to have the data in prometheus, you should use the records-lag metrics emitted by Consumers. 2 release, Confluent Control Center displays the underlying producer metrics and consumer metrics of a Kafka Streams application, which the Kafka Streams API uses internally whenever data needs to be read from or written to Kafka topics. 2 Reading Basic Broker Metrics. May be given client already disconnected from Kafka. plugin Module: prometheus. Host/server metrics. Hence, when using prometheus as a registry, for example, only the metrics registered for the wrong mbean were shown with NaN as values. Consumers are far behind the producers, so messages are lost, but I expected to see the lag from "kafka_server_fetcherlagmetrics_consumerlag". It does not export the consumer lag though. properties to add Kafka broker information. Another way to optimize consumers is by modifying fetch. Burrow. You can find the sample Prometheus Alerts and the Grafana dashboard on our GitHub. name: kafka_consumer_fetch_records_lag. Introduction. Overview Monitor Kafka consumer lag metrics for efficient message queue management and performance. Please note that I am particularly interested in consumer group metrics (rebalance-latency-avg, rebalance-rate-per-hour, etc…). It’s highly important to monitor Consumer Lag in Kafka. answered Jul 5, 2020 at 13:54. I can manually get the lag by shelling into a broker and using the kafka-consumer-groups tool like so: unset JMX_PORT; /usr/bin/kafka-consumer-groups --bootstrap-server localhost:9092 --group connect-<my-kafka-connect-connector> --describe. Setting up the Dockerfile, configuring Prometheus. 1 Prerequisites. I have already sat up a functioning Prometheus endpoint. Lenses integrates with Prometheus and Grafana to export Expose Kafka offset lag to prometheus. On the Query tab, select Prometheus data source. I use kafka_exporter for exporting Kafka metrics. sh describe group script programmatically. ZooKeeper metrics. 3. 0 max records-lag-max:9. Contribute to pceric/kafka-offset-lag-for-prometheus development by creating an account on GitHub. Producer and Consumer have to expose metrics endpoints and be added to Prometheus configuration as datasources. handshake. 3 Intermediate Metrics Tracking. Madhur Ahuja. e. kafka. For details on the underlying metrics please see Apache Kafka. Adding Metrics to Kafka. 0 foo2 lag records-lag:7. 0 foo1 lag records-lag:8. Key Takeaways. For more information about exporters, click here. group:type=ConsumerLagMetrics. Apache 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. These metrics can be used, for example, to monitor the so-called “consumer lag” of an Oct 14, 2019 · We also provide a new Grafana dashboard and alert rules which work with the new metrics. k. The metric gets exported on a local setup as soon as I replace cp-kafka with cp-server. The optional certificate authority file for Kafka TLS client authentication. To enable monitoring, we will be performing the following steps: Define JMX metrics to export. Producer metrics. Introduction to Kafka. Since 2014, Apache Kafka has served as a core piece of AppsFlyer’s large-scale event-driven architecture, running data Jan 30, 2024 · To create an alert: Create a panel with key Kafka metrics you want to monitor. d. In the following textbox enter your metric name which is librdkafka_consumer_lag (Grafana Oct 12, 2023 · Consumer metrics. Use Confluent Control Center to monitor consumer latency. Try using this query in Prometheus alerts. 1 Setting Up Kafka Exporter. 15. Jan 21, 2021 · And finally, and also from the Kafka cluster, consumer group metrics are available, although they have a different format to the previous metrics: consumerGroupLag: defined as the sum of consumer lag reported by all consumers within the consumer group. broker-request-total-time-ms: Total end-to-end time in milliseconds. It’s important to monitor the health of your Kafka deployment to maintain reliable performance from the applications that depend on it. Visit Mavens prometheus jmx-exporter repository to get the jar file. 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 Prometheus scrapable format. So all metrics supported by Kafka Exporter are published on its metrics endpoint and when Prometheus scapes Kafka cluster metrics . The kafka server's name should be given. The Kafka consumer, by default, sets up a consumer group to listen to the topic example: package main. Basically I need something like: public int getUnconsumedMessagesCount(String topicName) I could not find a readily available method to achieve this using Spring Kafka. The observability tutorial incorporates the kafka-lag-exporter metrics into its consumer client dashboard . Prometheus server will automatically read from your application's "/prometheus" endpoint. 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. yml, and running the instances. Consumer lag is a combination of both offset lag and consumer latency. Consumers and producers. Decide which metric you want to monitor, click Metrics browser, and type redpanda to show available public metrics (or vectorized for internal metrics) from the Redpanda cluster. Jan 30, 2024 · Increase Fetch Size. Apr 7, 2019 · 1. I would like to display the KafkaMetrics for each of the consumers/topics. partition: "$3". Lag data is exposed as Prometheus metrics, which can then be presented in Grafana for analysis. It might be visible in the JVM application which is running the consumer code. You dont need to update/send the metrics to Prometheus. To define the metrics to export, let’s create the required ConfigMap: kind: ConfigMap. Kafka Consumer. For an example that showcases how to monitor Apr 10, 2022 · and the alerting rules are defined in alerts. sh” and append below lines before the last line. expr: kafka_consumergroup_lag_sum{topic="example"} > 10. wait. jmx_exporter is such an application, that converts JMX metrics to the Prometheus format. It exports all the metrics that we’ve been previously gathering. insecure-skip-tls-verify is given. Apr 14, 2023 · I'm using Kafka exporter to monitor the Kafka metrics which is then queried in prometheus. By default, metrics are emitted via JMX, so you could use Prometheus' JMX exporter to do the job for Since the 3. Use the following ENV vars to change the default options: ACTIVE_ONLY=only show consumers with an active consumer protocol (default false) KAFKA_BROKERS=comma separated list of brokers (default localhost:9092) PROMETHEUS_ADDR=address and port for Prometheus to 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 Feb 10, 2022 · The services are implemented using Spring Boot and the integration with Prometheus is through spring-boot-actuator. broker-request-send-response-ms: Responses dequeued are sent remotely through a non-blocking IO. ms to wait for larger payload batches before returning the records to the consumer. Therefore, brokers play a key role in Kafka. min. scrape component that collects the exposed metrics. – devshawn. consumers) - each polling on a unique topic. Jul 26, 2021 · Kafka overview. May be this metric is not present on broker. Open “zookeeper-server-start. Think of it as a learning tool to help you become comfortable with the metrics and thresholding. In 0. Apr 21, 2021 · The metricQuery is a Prometheus query, which will summarize the minimal value over one hour of the Kafka consumer group lag, grouped by topic and consumer group. The following two things are possible: A. help: "Kafka Consumer Fetch Records Lag". rl ny hr pb ij nm cd yr kv mo
Kafka consumer lag metrics prometheus example. But some important metrics are missing.