kafka consumer lag monitoring \w]+),partition=([0-9]+) at a broker level. Things to look for when monitoring Kafka. 0 License) ", I think with this tool you can monitor consumer group lag. An HTTP endpoint is provided to request consumer group information on demand. In case a particular consumer group gets slow or totally down, we should see growing lag and be able to react to it. It is our new way of monitoring Lag within Kafka which uses velocity calculations to determine if a consumer is falling behind. 0. On the other hand, the reads in Kafka tend to lag behind the writes due to delay between the moment of writing a message and the moment of consuming a message. If the developers had access to the cool tracing instrumentation, that would help them obtain some meaningful Kafka Consumer Lag data points. The consumer lag details are displayed, including: All consumers in a group. What is Kafka? Kafka is a distributed, partitioned, replicated, log service developed by LinkedIn and open sourced in 2011. Please refer mentioned link for more information on Kafka Manager. 0. Find Kafka and set the Global monitoring switch to the On position. hostname, port, username, and password are optional and use the default if unspecified. First of all, we need to add metrics to our Kafka resource. Monitoring delta and lag (and you already have a monitoring system, right?) are simple ways to be confident that your application is reliable and performant, and help you fix issues when it isn’t. Burrow: Kafka Consumer Monitoring Reinvented; Consumer group coordinator Try the demo: https://github. Kafka: Kafka: Fetch-Consumer request total time, mean: Average time in ms to serve the Fetch-Consumer request. commit. Kafka Consumer Lag Monitoring. It was written in Python before, which is more troublesome. Leader Not Available Kafka in Console Producer. Application Lag Monitoring The best way to ensure that your Kafka based application is healthy is to monitor whether the application is keeping up with consuming the incoming messages and is not You would have to complement this with client monitoring (consumer and producer metrics), as well as lag monitoring with Burrow and end-to-end monitoring with Kafka Monitor. Basically it is a massively scalable pub/sub message queue architected as a distributed transaction log. From there, it’s only a few minutes more to spin up the whole Confluent stack, which gives you access to a richer ecosystem of components—like ksqlDB, Schema Registry, the REST Proxy, and Control Center—all running on Windows. max_lag (gauge) Maximum consumer lag. This metric tells us, how far behind the consumer is with fetching messages from the inScalingTopic topic per partition. Of course, there are some businesses, or applicative, metrics that we cannot neglect when gauging Kafka performance. 1 consumer-1 topic1 1 11355 11355 0 consumer-1-1555f25e-bc14-4e61-a82d-f36dd06ef46f /127. Consumer Group Lag - aggregated consumer lag of a group: 15 Min Rate: messages per message. It monitors committed offsets for all consumers and calculates the status of those consumers on demand. Operational monitoring through metrics. x. When consuming messages from Kafka it is common practice to use a consumer group, which offer a number of features that make it easier to scale up/out streaming applications. We can make an alert for Consumer 2 when its lag goes beyond a threshold. Chaperone - An audit system that monitors the completeness and latency of data stream. Check that metric kafka. Out of the box Kafka monitoring dashboards #3. If we did migrated from a previous Kafka version, according to the brokers configuration, Kafka can dual-writes the offsets into Zookeeper and Kafka’s __consumer_offsets (see dual. Built-in anomaly detection Thus, an alert should be set on this metric depending on the requirement of system to keep it running sanely. consumer:type=ConsumerFetcherManager,name=MinFetchRate,clientId=([-. Monitoring Apache Kafka, Kafka Consumer Lag Monitoring, Visibility into your data pipeline Sunnyvale, CA (PRWEB) October 27, 2016 OpsClarity, a provider of intelligent monitoring solution for modern applications and data infrastructure, today announced its market-leading monitoring ser The consumer lag for a partition is the difference between the offset of the most recently published message and the consumer’s committed offset. Kafka Consumer JMX Metrics. Measuring consumer lag is imprecise because there is no way to retrieve the current consumer offset and current topic partition offset in the same operation. We explored how consumers subscribe to the topic and consume messages from it. This, internally, calculates the lag via the __consumer_offsetstopic. consumer:type=ConsumerTopicMetrics,name=MessagesPerSec,clientId=([-. By monitoring Kafka consumer groups, you can track active and passive consumer groups, or all consumer groups. Here at Server Density we use it as part of our payloads processing (see: Tech chat: processing billions of events a day with Kafka, Zookeeper and Storm). I handwritten a shell script to monitor the Kafka lag value. These agents also have integrations with many other tools beside Kafka and will be a good common choice for monitoring. You can keep track of MSK broker health & other components including Kafka Connect with Lenses. Burrow is a monitoring companion solution designed for Apache Kafka that offers features like consumer lag checking as a service, all without the need for specifying thresholds. For measuring the lag with minimal error your monitoring application must run a monitoring application job in parallel to measure both consumer offset and current topic offset. See Kafka Insights for a Use Case example of drilling down into lagging or stalled Consumer Groups. . Recap. Kafka Manager is a web based management system for Kafka developed at Yahoo. If you’re troubleshooting a problem with your Kafka throughput, you can correlate your brokers' data rates with latency metrics from your producers and consumers to determine the source of the bottleneck. 0. You can capture other Kafka related metrics as well. consumer. Kafka Lag exporter is used to monitor this metric and use it as a health indicator of how Remora . x, as well as . We measure Kafka lag in two ways. You can track additional details about consumer groups. Open excamples/metrics/kafka-metrics. Instead of checking offsets for specific consumers periodically, it monitors the stream of all committed offsets and continually calculates lag over a sliding window. consumer:type=consumer-fetch-manager-metrics,client-id=ks-scaling-app-app-id-*-StreamThread-1-consumer,topic=inScalingTopic,partition=[0,1,2] records-lag. consumergroup. Burrow provides advanced Kafka Consumer Lag Checking. indicate slow data Monitoring Vertica Message Consumption with Consumer Groups Apache Kafka has a feature named consumer groups that helps distribute message consumption loads across sets of consumers. A visualization of lag. You can also track details including number of consumers and consumer instances included in a group and consumer group lag in the consumer group profile. In older versions of Kafka, consumer offsets were stored in Zookeper exclusively. 207. consumer. singular. Burrow has a modular design that includes the following subsystems: Clusters run an Apache Kafka client that periodically updates topic lists and the current HEAD offset (the most recent offset) for every partition. com/yahoo/kafka-manager Specifically, consumer lag for a given consumer group indicates the delay between the last message added to a topic partition and the message last picked up by the consumer of that partition. Formatting conventions; Installation. Clusters > Kafka displays the List of Configured Kafka Clusters. In this blog we will explore potential reasons for Kafka consumer lag and what you could do when you experience lag. An increasing lag value indicates that the consumer group cannot read the number of messages as fast as the producers are writing the messages. The metrics are exposed via an HTTP endpoint. Click the Cluster Name to bring up the Cluster View. JMX: jmx["kafka. Lag may go up or down for various reasons. Out of the box alerting framework with management user interface provides easy and performer integration with Splunk. Report latency metrics in the Kafka Consumer at the client (max latency) and partition level, similar to how consumer lag is currently reported. This metric aggregates lag in messages per follower replica reported under kafka. When using consumer groups, Kafka evenly divides up messages based on the number of consumers in the group. Overview. After you turn Kafka monitoring on, Dynatrace automatically activates Kafka monitoring on all hosts and monitors all Kafka components. units. Additionally, you can configure your deployment to track messages end-to-end by setting up distributed tracing. Also, Marc might think about adding the alerts based on the number of failed replicated partitions that would help proactively isolate issues before the engineering team misses their SLOs. Logging is another crucial part. Burrow is a monitoring solution for Kafka that provides consumer lag checking as a service. Burrow is a monitoring companion for Apache Kafka that provides consumer lag checking as a service without the need for specifying thresholds. Provides the lag value, which is the difference between the number of messages that Kafka producers write to brokers, and the number of messages that consumers read from the brokers. Number of messages the consumer lags behind the producer by. If you are interested in Kafka or real-time data processing in general, stay tuned by subscribing to the blog as we'll be taking a deeper dive into Monitoring the rate of data flowing through your brokers can help you understand the overall level of activity of your Kafka deployment. sh --bootstrap-server 127. Notice the --new-consumer and the Kafka’s broker address, it does not need a Zookeeper address as before. Combining this with a time series database like KairosDB it is possible to graph your consumer group status; see remora fetcher for an example of this. \w]+) Amongst various metrics that Kafka monitoring includes consumer lag is nearly the most important of them all. It monitors committed offsets for all consumers and calculates the status of those consumers on demand. consumer_offset is available on the Metrics tab in ATSD. name is the consumer’s name as it appears in Kafka. com/yahoo/CMAK). If you like the features which Kafka Exporter provides, do not forget to go and give it a star Distributed systems and microservices are all the rage these days, and Apache Kafka seems to be getting most of that attention. com/confluentinc/cp-demo | Tim shows consumers that are slow to read messages from Kafka, which slows down application performan Remora is a monitoring utility for Apache Kafka that provides consumer lag checking as a service. What determines Kafka consumer offset? 77. Consumer Groups represent Kafka applications that consume data from one or more Kafka topics. It gives our users consumer lag monitoring out of the box. second: CDH 5, CDH 6: kafka_consumer_group_lag_5min_rate: Consumer Group Lag Kafka monitoring provides visibility into Apache Kafka brokers that interact with various applications and frameworks in your environment. 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. Single-Threaded Consumer: this caused us to actually avoid using the Quarkus Kafka consumer for metrics processing. What if a single thread of the consumer dies? What if the topic you are monitoring is not covered by all consumer processes? Measuring lag for wildcard consumers can be overwhelming. Kafka is often used for operational monitoring data. We generally need to know what kinds of delays exist in our ingestion pipe. x to 2. In the previous post we’ve discussed what Kafka is and how to interact with it. auto. If the host field is Auto Commit: by default, the Quarkus consumer was committing to Kafka after every message was received, causing a big pile-up in consumer lag. units. The difference between the last message produced by a producer, and the last message consumed by a consumer. If the application is a real-time processing system that requires consumer to consume from Kafka as fast as possible, it should set a low number for consumer lag. From monitoring the committed offset, we can derive the consumer lag as well as to get a signal of whether Legacy: migration from Zookeeper. Consumer Lag. Applications such as a Kafka Mirror Maker, or any client that consumes more than a couple of topics, would yield an overwhelming list of measurements. . Monitoring Kafka Lags is equally important to measure the performance of Kafka consumer applications and your data pipeline. Monitoring deployment health; Monitoring Kafka cluster health; Monitoring topic health; Monitoring consumer group lag; Monitoring applications with distributed tracing; Monitoring with external tools; Modifying installation settings; Optimizing Kafka cluster with Cruise Control; Scaling; Setting client quotas; Managing a multizone setup Aggregated Fetcher Consumer Lag; Aggregated Fetcher Consumer Lag. Monitoring Kafka while maintaining sanity: consumer lag Most Kafka users understand that consumer lag is a very big deal. An increasing value over time is a good indication that the consumer group is not keeping up with the producers. It is capable of administrating multiple clusters, it can show statistics on individual brokers or topics such as messages per second, lag ans so on. fgiunchedi renamed this task from logstash / elasticsearch indexing lag to kafka / logstash / elasticsearch lag monitoring and alerting. Kafka – Past and present: Apache Kafka is no longer used just by the Internet hyperscalers. $ . 11. commit consumer property. Kafka Monitoring Tools Sematext Monitoring is one of the most comprehensive Kafka monitoring solutions, capturing some 200 Kafka metrics, including Kafka Broker, Producer, and Consumer metrics. x. In Kafka, every consumer group ingests data at a certain number of messages/second. enabled=true and offsets. /kafka-consumer-groups. consumer:type=consumer-fetch-manager-metrics,client-id=id' attribute='records-lag-max' where the id is typically a number assigned to the worker by the Kafka Connect. e. , non-ZooKeeper-based consumers). 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. It monitors committed offsets for all consumers and calculates the status of those consumers on demand. In a healthy Kafka cluster, all producers are pushing messages into topics and all consumers are pulling those messages at the other end of the topics. Kafka Exporter is an important improvement to the monitoring capabilities of Strimzi. Jan 22 2019, 4:52 PM 2019-01-22 16:52:19 (UTC+0) Maintenance_bot removed a project: Patch-For-Review . 195. One among them is " Kafka Manager (Yahoo, Apache 2. It utlizes Kafka's AdminClient and Kafka's Consumer's client in order to fetch such metrics. Last updated: a year ago Start with Grafana Cloud and the new FREE tier. network:type=RequestMetrics,name=TotalTimeMs,request=FetchConsumer","Mean"] Kafka: Kafka: Fetch-Consumer request total time, p95: Time in ms to serve the Fetch-Consumer request for 95th percentile. Adding Metrics to Kafka. You can examine it from the command prompt But Consumer 2 lag is increasing because on average it has 10 ms more delay than Consumer 1. Select Monitoring > Monitored technologies. x to 4. This is particularly useful when you don't have enough monitoring on your Kafka yet. Kafka Consumer Lag and Offset monitoring by consumer group, topic, or partition #2. Kafka Exporter is an optional component for extracting metrics data from Kafka brokers, in particular consumer lag data. The main idea was to have a docker compose with Kafka Lag Exporter, Prometheus and Grafana together, so that it can be quick and easy to get a dashboard for analyzing the consumer groups of a Kafka deployment. Monitor Consumer Lag, This command only shows information about consumers that use the Java consumer API (i. Shown as offset: kafka. If a consumer is dead, this value drops to roughly 0. second: CDH 5, CDH 6: kafka_consumer_group_lag_1min_rate: Consumer Group Lag - aggregated consumer lag of a group: 1 Min Rate: messages per message. fetch_size One of the most important metric that has to be monitored is the Consumer Lag which is simply the delta between the Latest Offset and Consumer Offset. 30 sec), open Splunk, install the Metrics workspace app and observe the magic happening ! Next Previous No more data black box. Monitoring Kafka Consumer Lag. Burrow is a tool developed and open sourced by one of the Kafka SREs at LinkedIn. Running a pre-check; Quick start guide. There are other solutions that are commonly used for monitoring consumer lag, such as Burrow by LinkedIn. Consumer lag calculated as follows: Consumer-Lag Monitoring with Burrow Burrow is a monitoring companion for Apache Kafka that provides consumer-lag checking. There are multiple types of metrics that Kafka provides, some via the brokers themselves, and others via This will only provide at-least-once guarantees for your consumer group lag monitoring because it’s possible for a failure between storing your offsets externally and committing to Kafka, but it will give you a more accurate representation of consumer group lag then when turning on auto commits with the enable. If consumer lag is a problem, there are definite actions you can take to reduce it. After a lot of troubleshooting hours and headaches, our team found that not only was it Monitoring consumer lag metrics allows application developers to identify slow or stuck consumers that are not keeping up with the latest data available in an Apache Kafka topic so they can take remedial actions such as scaling or rebooting those consumers. Lag is the delta between the last produced message and the last committed message of a partition. It makes sense when you remember that Azure Event Hubs is basically a topic-as-a-service offering, while Kafka is a fully featured platform. Autoscaling based on Consumer Lag — Consumer lag (orange) / Application instance count (green) Running such applications at scale requires solid monitoring especially when Kafka is at the heart Burrow is a monitoring tool developed at Linkedin and its sole purpose is to detect consumer lag and raise alerts when such lag is detected. A client tool that exports the consumer lag of a Kafka consumer group to different output implementations such as Prometheus or your terminal. Kafka has several moving parts — there is the service itself, which usually consists of multiple brokers and ZooKeeper instances, as well as the clients that use Kafka, the producers and consumers. 0. Apache Kafka decouples services, (Byte rate per client id / per consumer groups, versions of the client libraries, consumer lag monitoring for the entire data View Kafka metrics. Monitoring of all metrics is supported for every version of Apache Kafka, Cloudera Kafka and Confluent Kafka, apart from the Consumer group lag and the Consumer/Producer Byte Rate/Throttling metrics. consumer. kafka. This is more commonly referred to as “lag”. Unravel deployment for high availability Kafka Exporter is an open source project to enhance monitoring of Apache Kafka brokers and clients. JMX Configure the Kafka resource to deploy Kafka Exporter with your Kafka cluster When you have Prometheus and Grafana enabled, Kafka Exporter provides additional monitoring related to consumer lag. Monitor the performance of flows and microservices including consumer lag & partition health; Stay productive with alerts integrated with your existing tools. This involves aggregating statistics from distributed applications to produce centralized feeds of operational data. Kafka Burrow Consumer lag Monitoring Start the template, have a very short coffee (approx. If Confluent offers multiple options to monitor consumer lag in Kafka (plus some - community - alternatives), Microsoft doesn’t for Azure Event Hubs. After installation, the agent automatically reports rich Kafka metrics with information about messaging rates, latency, lag, and more. Here is a shell version, which you can use directly. Monitor Consumer Lag via the Confluent Cloud Interface¶ Select your cluster name. In the navigation menu, select Settings. kafka. \w]+) The minimum rate at which the consumer sends fetch requests to the broker. And effective monitoring is a big part of that. Monitoring of Consumer group lag metrics is supported for Apache Kafka versions from 0. One of the unique tools for monitoring consumer lag is LinkedIn Burrow. x. Unravel 4. offsets that expose consumer lag metrics via JMX, but may not be updated to work with the latest Kafka. fetch_size_avg (gauge) The average number of bytes fetched per request for a specific topic. For many applications Kafka consumer group identifiers don’t change dynamically, so tracking the commit lag seems to be very useful. It boosts our understanding of how our queue grows and also tells which consumers groups are lagging behind. It is capable of administrating multiple clusters, it can show statistics on individual brokers or topics such as messages per second, lag and so on. It monitors committed offsets for all consumers and calculates the status of those consumers on demand. An HTTP endpoint is provided to request consumer group information on demand. Monitoring deployment health; Monitoring Kafka cluster health; Monitoring topic health; Monitoring consumer group lag; Monitoring applications with distributed tracing; Monitoring with external tools; Modifying installation settings; Optimizing Kafka cluster with Cruise Control; Scaling; Setting client quotas; Managing a multizone setup One of the key metrics to monitor when working with Apache Kafka, as a data pipeline or a streaming platform, is Consumer Groups Lag. Fully composable (you pick what you need) observability stack for metrics, logs, traces and synthetic monitoring integrated with Grafana Grafana Cloud Dashboards Dedicated Grafana front-end with enhanced reporting, security, management and more Monitoring Kafka metrics Other metrics are hard to get Consumer Lag: probably the most important metric Size of partition (last offset) - consumer offset (last committed) Brokers know about partition sizes Consumer owns the consumed offsets Consumers acknowledge offsets by “committing” them back into a special Kafka topic What do we do with this? Monitoring Kafka lag and latency. But it's more of an administrative tool — unfortunately you can't use it to browse messages. Sematext integration for Kafka monitoring that collects and charts 200+ Kafka metrics Monitoring Kafka Consumer Lag. 0. io DataOps, which fully supports MSK Open Monitoring via Prometheus. While lots of those metrics are useful, there is one particular metric everyone wants to monitor – Consumer Lag. Kafka Consumer monitoring Lenses continuously monitors all Kafka consumers in a Kafka cluster. Lastly, if you’re interested in monitoring things like retention and replication, throughput, and consumer lag within your Kafka systems, take a look at our on-host integration. It is a tool built to monitor committed offsets for all consumers, at which point it will then calculate the status of those consumers on demand. Even with sufficient attention to monitoring it’s tricky to prevent this, as I noticed that restarting the Kafka sink connectors with more tasks actually results in a drop in throughput for 10s of seconds (due to consumer group rebalancing), momentarily increasing the lag. If the rate you’re consuming data out of a topic is slower that the rate of data being produced into that topic, you’re going to experience consumer lag. If the lag starts to grow, it means the consumer is not able to keep up with the producer’s pace. yaml file. Kafka consumer list. Use the Zookeeper Shell to find out Who Active Controller is . In other words, lag indicates how far behind your application is in processing up-to-date information. I previously showed how to install and set up Apache Kafka ® on Windows in minutes by using the Windows Subsystem for Linux 2 (WSL 2). consumer. It monitors committed offsets for all consumers and calculates the status of those consumers on demand. /bin/kafka-consumer- groups Correct, you will see consumer group lag in kafka-consumer-groups. storage=kafka). 5 Documentation. 1. This Apache Kafka Monitoring tool helps to monitor Kafka consumers and their position (offset) in the queue. Our cloud and on-premises tools provide out of box Kafka graphs, reports and custom dashboards with built-in anomaly detection, threshold, and heartbeat alerts as well as easy chatops integrations LinkedIn Burrow is an open-source monitoring companion for Apache Kafka that provides consumer lag checking as a service without the need for specifying thresholds. What is Kafka Consumer Lag? Kafka Consumer Lag Monitoring Sematext has a incredibly deep monitoring solution for Kafka. partition and kafka. Although it is very useful, its UI seems somewhat old and it lacks some monitoring features like topic lag. Remora is a monitoring utility for Apache Kafka that provides consumer lag checking as a service. consumer_lag metric if your offsets are stored in Kafka and you are using an older version of the Agent. Per-partition offsets also show if a single partition is lagging behind. LinkedIn Burrow is an open-source monitoring companion for Apache Kafka that provides consumer lag checking as a service without the need for specifying thresholds. sh :2181 get /controller Max Size of the Request to Broker – The maximum size of any request sent in the window for a broker. However, it does not store the metrics for historical analysis. If you are just doing it for personal POC type of a project and you just want to view the lag, I find CMAK very useful (https://github. Producer offset is collected from Kafka brokers by the JMX Job above. x, Cloudera Kafka 3. Import Consumer Lag Portal into ATSD and change the topic name to view the consumer lag. Monitor Kafka metrics for brokers, producers, and consumers, consumer lag and offset monitoring by consumer group, topic, or partition, and more. Consumer offset is collected by a Kafka console consumer reading events from the __consumer_offset topic on one of the Kafka servers in the cluster. The initial Kafka_consumer Agent Check was written when this limitation was in place. I can view all the Kafka broker metrics by using the JMX exporter -> stackdriver monitoring agent and is displayed in the Stackdriver but i cant see any consumer metrics, i am particularly interested in consumer lag, is there a way to monitor kafka consumer metrics via stackdriver? The consumer lag and offset visualisations show if consumers are falling behind specific topics. What determines Kafka consumer offset? 77. All the YAMLs needed to add metrics to our Kafka cluster are available inside the examples folder inside the Strimzi package. Therefore, Consumer Lag is the delay between the Latest Offset and the Consumer Offset. Watch now Top Considerations When Choosing a Big Data Performance Management Solution Recorded: Sep 15 2020 22 mins A comprehensive Kafka cluster monitoring dashboard with Elasticsearch as the datasource. The default Metricbeat configuration collects two datasets, kafka. There are also a few open source projects such as kafka9. It is a monitoring companion for Apache Kafka that provides consumer lag checking as a service without the need for specifying thresholds. /bin/zookeeper-shell. This allows monitoring the broker capability to keep in sync with partitions Multi-cluster consumer offset/lag monitoring. 1 kafka. Apache Kafka Tony Mancill is the author of "Linux Routers" and a long-time contributor to the FOSS community as a Debian developer. 1:9092 --describe --group my-group-01 TOPIC PARTITION CURRENT-OFFSET LOG-END-OFFSET LAG CONSUMER-ID HOST CLIENT-ID topic1 0 11412 11415 3 consumer-1-1555f25e-bc14-4e61-a82d-f36dd06ef46f /127. It can manage hundreds of metrics from all the components of Kafka (Broker, Producer and Consumer) to Kafka Consumer Lag Monitoring - Lightweight and Cloud Native Ready A client tool that exports the consumer lag of a Kafka consumer group to different implementations such as Prometheus or your terminal. Use Burrow to aggregate metrics across consumers to one status and track consumer lag. Consumer lag calculation requires information about producer offset and consumer offset. Leader Not Available Kafka in Console Producer. An HTTP endpoint is provided to request consumer group information on demand. Kafka monitoring collects remote JMX metrics from Kafka brokers that are connected to Apache Zookeeper servers. For more information on creating a consumer, see Quick Start for Apache Kafka using Confluent Cloud. Kafka consumer lag command line. Burrow was created to address problems at LinkedIn with standard Kafka Consumer Monitor, in particular wildcard consumers like mirror makers and audit consumers. Burrow - Monitoring companion that provides consumer lag checking as a service without the need for specifying thresholds. KIP-32 introduced a timestamp field to the Kafka message format. Records lag max: maximum lag in terms of number of records for any partition within the timeframe Bytes consumed rate: average number of bytes consumed per second; Fetch rate: number of fetch requests per second; Records consumed rate: average number of records consumed per second It helps to Select Kafka Leader , Consumer Group Assignment etc. We’re going to look at one particular metric: kafka. Consumer lag metrics are available at port 11001, just as other Kafka metrics. singular. Kafka consumer list. Remora is a monitoring utility for Apache Kafka that provides consumer lag checking as a service. Combining this with a time series database like KairosDB it is possible to graph your consumer group status; see remora fetcher for an example of this. 207. Logging. server:type=FetcherLagMetrics,name=ConsumerLag,clientId=([-. Kafka manager is a web based powerful management system for Kafka developed at Yahoo!. For additional Kafka integration, see Brokers Monitoring and Consumers Monitoring. Due to this, you cannot get the kafka. Topics include: Kafka data streaming architecture, key monitoring metrics, offline partitioning, broker, topics, consumer groups, and topic lag. 0. 0. The timestamp could be provided by the user, the KafkaProducer, or the Broker, depending on how the Broker configuration message - Kafka Consumers lag monitoring with Burrow (Kafka Connect connectors, Kafka Streams, etc. fetch_rate (gauge) The minimum rate at which the consumer sends fetch requests to a broker. Click the Consumers link and select a consumer group. https://github. JMX connection options: default_jmx_host: the default host to collect JMX metrics. Alternatively, you can enable Open Monitoring on your cluster, and use a Prometheus server, to capture partition level metrics from the brokers in your cluster. It uses the native Kafka client to calculate in real-time metrics around the Lag per partition (the number of messages that have not been consumed yet). We have also developed tooling to ensure all brokers within a cluster are doing the same amount of work. The committed consumer offset becomes a vital sign to tell if the consumer is healthy. Kafka consumer group lag is one of the most important metrics to monitor on a data streaming platform. At a high level, they allow us to do the following. \w]+),topic=([-. It’s highly important to monitor Consumer Lag in Kafka. This dashboard gives real time monitoring in Broker health, consumer group stats, consumer lags and much more. The Java agent collects all Kafka consumer and producer metrics (but not connect or stream metrics). This value can be checked via CLI even when there are no active consumers. 0. We know that consumers form a group called consumer group and that Kafka split messages among members of the consumer group. shoutput. ) Multi-tenancy is fully supported by the application, relying on metrics tags support. Shown as request: kafka. Shown as request: kafka. 195. It is important for us to provide production ready Kafka. objectName='kafka. For each consumer a name, hostname, port, username, and password can be specified in JSON form. Monitoring consumer lag allows application developers to identify, and alarm on slow or stuck consumers that are not keeping up with the latest data available in an Apache Kafka topic so they can take remedial actions such as scaling or rebooting those consumers. kafka consumer lag monitoring