Kafka Add Node To Cluster



Recall that Kafka uses ZooKeeper to form Kafka Brokers into a cluster and each node in Kafka cluster is called a Kafka Broker. Kafka is distributed in the sense that it stores, receives and sends messages on different nodes (called brokers). Install Apache Kafka (Single Node ) on Ubuntu : Apache Kafka is a distributed streaming platform capable of handling trillions of events a day. Our Kafka machines are more closely tuned to running Kafka, but are less in the spirit of "off-the-shelf" I was aiming for with these tests. Don't be tempted to put all brokers on the same node as this would reduce availability. Each of Kafka Streams instances on these 2 nodes have num. After peering is done successfully, you should see "Connected" peering status if you navigate to the "Virtual Network Peerings" setting of the main Azure. the commit log). The Blackhole Cluster. The installation of Apache Kafka and Zookeeper can now be executed by using Helm. Coordinator node is the node that communicates with replicas. Apache Kafka is a distributed streaming platform which enables you to publish and subscribe to streams of records, similar to enterprise messaging system. Apache Kafka is a stateful application, where Brokers create/form a cluster with other Brokers. Linux, Mac OS X, and Cygwin (for Windows) and expects the cluster to consist of one master node and one or more worker nodes. Scalability — Kafka's distributed nature allows you to add additional nodes without downtime, facilitating partitioning and replication; Kafka Limits. If your Kafka is using Plain, please ensure your Kafka cluster is using SSL. conf” file for adding the nodes and do other configs. This is a brief guide on a Multi Node Kafka Cluster Setup using Windows Docker: Setting Up a Three Node Kafka Cluster 1- Start ZooKeeper and Kafka using Docker Compose up command. Pre-Requisites To ensure a successful rebalance of your cluster, before you start the rebalance, take. In a typical Kafka cluster, each server is configured to behave as a single broker system that shows the persistence and replication of message data. I guess easiest way is to use following commands. js and I settled on kafka-node. Adding nodes in a RabbitMQ cluster is transparent for consumers Adding nodes to a Kafka cluster is not transparent for consumers, since there needs to be a mapping from partitions to consumers in a consumer group. Apache Kafka is the new hotness when it comes to adding realtime messaging capabilities to your system. Cluster Expansion. Note : To ensure consistent stability and performance, Instaclustr support will verify the health of your cluster before provisioning additional nodes. Also demonstrates load balancing Kafka consumers. Each log segment is stored in a single broker. Docker containers are highly scalable on both single Docker hosts as well as across a cluster if we use Docker Swarm or Kubernetes. d) Now, executing the zkcli's config command will show the new node as part of the cluster, either as a voting participant or as an observer. Add zookeeper in docker-compose. Hence when you add a new node to your kuberentes cluster you do not need to explicitly run Portworx on it. Also, learn how to customize clusters and add security by joining them to a domain. Stop a node and write again some messages in the producer console to verify the high availability is working. For example, if you ask me this for MySQL databases, we'd choose an Aurora cluster or RDS, as MySQL clusters need an effort and maintenance. This article is a part of a series, check out other articles here: 1: What is Kafka 2: Setting Up Zookeeper Cluster for Kafka. Multi-Node Kafka Cluster Setup. Kafka+Zookeeper cluster installation and configuration When building a kafka cluster, you need to install the zookeeper cluster in advance. Hadoop YARN – the resource manager in Hadoop 2. The administrator must assign the IP address to a host (node) interface on one of the nodes in the cluster. Thus, although the TCP connections will always end on the same node in the same broker, they might be routed through the other nodes of your cluster. Note how docker run command is invoked with a cluster token token-bb4bcf4b-d394-11e6-afae-0242ac110002 that has a token- prefix to the cluster ID to which we want to add. We can get it from there. Apache Ignite, from version 1. In this video we covered how to set up Zookeeper cluster and KAFKA cluster on single node machine and discussed about how it needs to be done when you do it actually using multiple machines. When the node is in Active state, removing the node from a cluster will trigger a process to clean up the node. We assume you already have kubernetes setup and running. Kafka cluster (by Bitnami) 2. The following diagram illustrates the architectural. For zookeeper, you should have java already installed on your system. Add nodes to the cluster IMPORTANT: These steps assume that you have already installed the Microsoft Azure command-line client (Microsoft Azure CLI) on your system and you are signed in to Microsoft Azure through it. Hence when you add a new node to your kuberentes cluster you do not need to explicitly run Portworx on it. If you are looking for a quick, fault tolerant and efficient way of pushing data from your Kafka cluster to Elasticsearch or Sematext, or any of the other supported integrations, Kafka Connect may be a good way to go. Apache Mesos – a general cluster manager that can also run Hadoop MapReduce and service applications. For example, cluster with 3 nodes, or cluster with 5 nodes, etc. Edge nodes oriented to ingesting data obviously need much more storage space, so you can add drives to the edge node. Kafka Streams instance on node-a shuts down. For optimal performance, Cloudera strongly recommends that production Kafka brokers be deployed on dedicated machines, separate from the machines on which the rest of your Apache Hadoop cluster runs. As with Kafka connect and Streams, is a tool that deserves his own article, so it won’t be covered here. In a typical Kafka cluster, each server is configured to behave as a single broker system that shows the persistence and replication of message data. Kafka with minimal configuration can be download from here. A new topic will need to be created in Kafka. Apache Kafka. Here, we will find the file, which contains Kafka broker configurations. To run this code in a cluster, first install Kafka by either using your favorite distribution or follow Kafka’s documentation for setting up multiple brokers. Each node or chassis added to a cluster increases aggregate disk, cache, CPU, and network capacity. The above cluster has three nodes and 520GiB of total capacity. yml file which belongs to the Kafka cluster. Apache Kafka on Heroku is an add-on that provides Kafka as a service, with full integration into the Heroku platform. add a new processor NAR to the cluster (decommission a node, add NAR in the node’s library, restart NiFi on this node, move back the node in the cluster and move on to the next one) To do that, you just need to go in the cluster view, disconnect your node, stop your node, perform your modifications and restart the node to get it back in the. sh --zookeeper localhost:2181 --topic test --from-beginning This is a message This is a message2 Our single node Kafka cluster is Ready. Considerations for adding a kafka node in existing cluster Considerations for removing only zookeeper node in exisiting cluster Considerations for removing kafka node in existing cluster Kafka Producers - Writing Messages to Kafka Producer overview Constructing a Kafka Producer Sending a Message to Kafka Serializers Custom Serializers. Apache Kafka & Zookeeper - Multi-Broker Apache Kafka Cluster on a Single Node Apache Kafka is an open source, distributed publish-subscribe messaging system. Define node topologies for every node in the cluster. Deploying a multi-node, multi-server Kafka Cluster with Docker. Docker containers provide an ideal foundation for running Kafka-as-a-Service on-premises or in the public cloud. replication. Add 1 new node with Controller role. The source connector is bundled with Kafka Connect alongside the existing file connector, and can be used to copy data from a Source Kafka Cluster defined in the task configuration, to the Destination Kafka Cluster, denied by the Kafka Connect configuration. One of the features of Apache® Ignite™ is its ability to integrate with streaming technologies, such as Spark Streaming, Flink, Kafka, and so on. Also, learn how to customize clusters and add security by joining them to a domain. Kafka connects to Zookeper and if ZooKeeper is down Kafka won't run. a topic, then all operations on that resource will be denied to any principal (AKA certificate) not explicitly listed for that resource. 4 or higher includes the Kafka Custom Service Descriptor (CSD). Commissioning and Decommissioning Nodes in a Hadoop Cluster: Above diagram shows a step by step process to decommission a DataNode in the cluster. This example assumes you are adding a new node to a cluster that is running the CLDB and ZooKeeper on three other nodes: node_a,node_b,node_c. The plan is to first install the kafka on a single huge machine and scale it to 4-5 machines (a cluster) later if needed. Launch three instances. This is equivalent to a 'fire. Find the hosts of the running kafka cluster, cordon a. To add sending user interactions to Kafka we will start with the Dreamhouse Web App and add the Kafka pieces. 8 TB from the 4 nodes (with each node contributing. A 7 node would be much more stable. 0 or a later version. Fill in the required information on the Add Nodes page and click the Submit Request button. Now add two kafka nodes. When I created both clusters (Kafka and RMQ) in Azure, I was asked to create a new resource group for each of the clusters. Scaling Kafka In my previous article about Kafka, I introduced some basic concepts, and showed how to use this message broker using the Java client API. the way to avoid this is use some on-wire encryption technology - SSL/TLS. At its core, it is an open source distributed messaging system that uses a publish-subscribe system for building realtime data pipelines. After you add a node to your Vertica cluster or remove a node from your cluster, Vertica rebalances the data across all the nodes. This guide covers fundamental topics related to RabbitMQ clustering: How RabbitMQ nodes are identified: node names Requirements for clustering; What data is and isn't replicated between cluster nodes. We will be creating a Hadoop cluster with Edge node using cloudera manager 5. Click Edit to specify the public key. Finally the eating of the pudding: programmatic production and consumption of messages to and from the cluster. Expected Result Plugin is installed successfully at the Fuel Master node and the corresponding output appears in the CLI. sh ? Please clarify. I guess easiest way is to use following commands. The installation of Apache Kafka and Zookeeper can now be executed by using Helm. Conclusion. recover_after_nodes: 1 # Set the timeout to initiate the recovery process, once the N nodes # from previous setting are up (accepts time value): # #gateway. Each server in a Kafka cluster is known as a broker. You set properties on the KafkaProducer node to define how it will connect to the Kafka messaging system, and to specify the topic to which messages are sent. seeds are the IP addresses of the clusters seed servers. If we want to use the Kafka node in a Docker Container, we need to setup the container with special settings like port. Zookeeper is used by Kafka as a leader election as well as metadata storage about Kafka topics, brokers. Kafka® is used for building real-time data pipelines and streaming apps. Disable a cluster node To disable a cluster node. After having bound my Kafka add-on to the app I had 5 environment variables added to my app. sh config/server-x. Apache Kafka is a distributed streaming platform. To rebalance the existing data in the cluster, we need to run the following command from the NameNode (Master Machine). types of nodes, all of which can be incorporated into a single cluster, where different nodes provide varying ratios of capacity to throughput or Input/Output operations per second (IOPS). New Kafka Nodes. Clustering Guide Overview. This tutorial will guide you to set up a latest Kafka cluster from scratch. Hi, I had something very similar yesterday, when I started to use kafka manager. Today's article will speak about how to install Kafka in the server by using Ansible Playbook. Cluster Manager Types. 1) Encryption in motion. To handle this, we run multiple zookeeper i. Add the nodes back to your cluster by reloading the systemd configuration. If your Kafka is using Plain, please ensure your Kafka cluster is using SSL. properties file, on going to the config directory. 0 and newer client versions, and works with existing Kafka applications, including MirrorMaker – all you have to do is change the. 62% Validating installation of the Cluster Disk Driver on node ‘name’. Exposing your Kafka cluster to the outside using node ports can give you a lot of flexibility. Kafka Connect nodes require a connection to a Kafka message-broker cluster, whether run in stand-alone or distributed mode. For introduction to the Akka Cluster concepts please see Cluster Specification. The Kafka Connect cluster must be installed and configured. To do so, configure the new Kafka nodes to connect to the Zookeeper ensemble by adding the IP addresses of the Zookeeper nodes in the main kafka configuration file. When I created both clusters (Kafka and RMQ) in Azure, I was asked to create a new resource group for each of the clusters. port let it be 9300 and transport. The SSH public key to be used for authentication when using an SSH client to connect to a node associated with your cluster. A consumer pulls messages off of a Kafka topic while producers push messages into a Kafka topic. Enable network access from Hive cluster nodes to Kafka cluster ports. Do the below to add the repository and run the below command ‘sudo apt-get. Every node in our cluster will have its own certificate under the domain. 6 on, provides a new way to do data processing based on Kafka Connect. Because of these two reasons, one of the most common task of a Hadoop administrator is to commission (Add) and decommission (Remove) Data Nodes in a Hadoop Cluster. Now I needed to figure how to use the library using the environment variables provided by Heroku to access my Kafka cluster. For example, let's say you have a 10 node cluster running 4 workers per node, and then let's say you add another 10 nodes to the cluster. Kafka allows user to specify a replication factor. Simply putting, The collection of nodes contains the entire data set for the Cluster. Apache Kafka quick start is very well documented to start on Linux machine. We assume you already have kubernetes setup and running. Scenario 3: To increase or decrease the number of nodes in a Kafka cluster. Finally, a Kafka cluster consists of one or more servers, called Brokers that manage the persistence and replication of message data (i. Copy the command starting with kubeadm join We will need it to be run on the worker node. Store the JAAS configuration and Kafka keytab files in the same locations on the Data Collector machine and on each node in the YARN cluster. Is it possible to use Zookeeper in a two node cluster ?. One such streaming process is bootstrapping a new node to an existing cluster. Kafka and Zookeeper can be manually scaled up at any time by altering and re-applying configuration. 0 brings us a very powerful new feature, known as Load-Balanced Connections, which makes it much easier to move data around a cluster. Then demonstrates Kafka consumer failover and Kafka broker failover. Similarly, you can add more nodes to your cluster. Look at the current 3 node cluster performance under existing load and see the capacity you have. Add the nodes back to your cluster by reloading the systemd configuration. In this video, we will create a three-node Kafka cluster in the Cloud Environment. The "log" directories are where Kafka retains topic history until is has expired: # A comma seperated list of directories under which to store log files log. The private IP is associated to the hostname. So it makes sense to leverage it to make Kafka scalable. In this video we covered how to set up Zookeeper cluster and KAFKA cluster on single node machine and discussed about how it needs to be done when you do it actually using multiple machines. Currently, Kafka doesn't have replication. In this tutorial, you will install and use Apache Kafka 1. Topics : A Topic is a category/feed name to which messages are stored and published. As with most distributed systems, Kafka performance heavily depends on low network latency and high bandwidth. A Tool to manage Apache Kafka -Yahoo Kafka Manager. Thanks for the above post. The Docker container is required. To rebalance the existing data in the cluster, we need to run the following command from the NameNode (Master Machine). Conversely, it also allows reducing the resource consumption, when the workload decreases, in order to save costs. Multi-Node Kafka Cluster Setup. Kafka Cluster Configuration. Kafka is distributed in the sense that it stores, receives and sends messages on different nodes (called brokers). The above cluster has three nodes and 520GiB of total capacity. If your Kafka cluster is using SASL authentication for the Broker, you need to complete the SASL Configuration form. Select the SASL Type that your Kafka cluster is using. To add a new Kafka node to a Kafka cluster, here is an abridged example of the configuration and metadata that you would update to add a new node and data disk. Set up an Apache Kafka instance To be able to follow this guide you need to set up a CloudKarafka instance or you need to download and install Apache Kafka and Zookeeper. Sometimes you may wish to spread out where the workers for a topology are running. Then, open the server. If rebalancing is taking a long time, review these steps to find out the probable cause. Hence when you add a new node to your kuberentes cluster you do not need to explicitly run Portworx on it. Since distributed Kafka Connect cluster can run on multiple nodes you need to make sure that the volume can be mounted as read only into multiple pods at the same time. 75% Configuring Cluster Service on node ‘name’. Now add two kafka nodes. Running an HA Kafka cluster on Amazon Elastic Container Service (ECS) This post is part of our ongoing series on running Kafka on Kubernetes. We can run the kafka in a single node broker or in a cluster mode with multiple nodes. It is also distributed as a package. We have successfully set up the Kafka cluster with 3 Node and 3 brokers. Webrequest log traffic maxes at around 205,000 messages/second. You will see that the domain name has been prefixed to the Topic name you had selected. However these new servers will not automatically be assigned any data partitions, so unless partitions are moved to them they won't be doing any work until new topics are created. Make sure that you have enabled access to the topic (via Ranger or native ACLs) for the user associated with the producer process. provision multiple servers). Click on “Add New Instance” and paste the last kubeadm command on this fresh new worker node. The above curl command simply returns HTML of a partially-filled-in form (with the values I specified), but it doesn't actually submit it. Next, add a cluster with the default config. I have my own cluster formation algorithm running on the nodes based on configuration. This setup can work on production server as well if configured correctly. It is very easy to start several Kafka server instances and by doing that we can add broker(s) to the clusters. Every node in our cluster will have its own certificate under the domain. This is equivalent to a 'fire. Is that possible with the current beta1 release ? 2013/12/2 Neha Narkhede < [email protected] > Maxime Nay. A Hadoop cluster consists of several virtual. 2 are available). During the rolling upgrade we have the following situation: New version of the service was deployed on node-a. This setup can work on production server as well if configured correctly. Download Kafka from Apache's site. Kafka connects to Zookeper and if ZooKeeper is down Kafka won't run. You can use docker-compose ps to show the running instances. Kafka is distributed as a parcel, separate from the CDH parcel. Each Node or server contains a part of Cluster's data, the data we add to the Cluster. In case one broker in a 9 node cluster fails the remaining 8 nodes will only see a ~13% increase in their load. However, the only thing you need to do is to edit the configuration and update the Zookeeper setting for the Kafka cluster node when you want to use the custom Zookeeper service. Considerations for adding a kafka node in existing cluster Considerations for removing only zookeeper node in exisiting cluster Considerations for removing kafka node in existing cluster Kafka Producers - Writing Messages to Kafka Producer overview Constructing a Kafka Producer Sending a Message to Kafka Serializers Custom Serializers. You can do it for a whole topic or for a selective set of partitions. As such, many orgs are hesitant to expose their Kafka endpoints publicly. However, using Docker containers in production environments for Big Data workloads using Kafka poses some challenges – including container management, scheduling, network configuration and security, and performance. When I created both clusters (Kafka and RMQ) in Azure, I was asked to create a new resource group for each of the clusters. I have 3 Kafka and 3 zookeeper applications running and I have services zoo1,zoo2,zoo3 and kafka-1, kafka-2 and kafka-3 running corresponding to them. factor=2,is set in server. After having bound my Kafka add-on to the app I had 5 environment variables added to my app. However these new servers will not automatically be assigned any data partitions, so unless partitions are moved to them they won't be doing any work until new topics are created. Earlier we setup one topic in a broker (Single node). I have 3 kube-nodes in my kubernetes cluster. Re -deploy the cluster. This article is a part of a series, check out other articles here: 1: What is Kafka 2: Setting Up Zookeeper Cluster for Kafka. You may wish to have Storm spread out the workers for the running topology so that each node runs 2 workers. Managing Multiple Clusters; Easy Inspection of Cluster States (Topics, Consumers, Offsets, Brokers, Replica Distribution, Partition Distribution). We will setup spark gateway, Impala Daemon, HDFS Gateway, Hive gateway and Hue Server on Edge node to communicate with master nodes. Conclusion. Exposing Kafka messages via a public HTTP streaming API Matt Butler. In addition, Amazon MSK secures your Apache Kafka cluster by encrypting data at rest. You can't run Kafka (cluster) without it. Step: Perform a failover test. A 3 node cluster can only tolerate one down node before it loses its quorum. Restart clients using the secured rather than PLAINTEXT port (assuming you are securing the client-broker connection). But what if zookeeper failed? We can’t take a chance to run a single Zookeeper to handle distributed system and then have a single point of failure. Anatomy of a Kafka Topic. One of a partition's replicas is chosen as leader, and the leader handles all reads and writes of messages in that partition. We’ve published a number of articles about running MySQL on Kubernetes for specific platforms and for specific use cases. seeds are the IP addresses of the clusters seed servers. Kafka cluster depends on ZooKeeper to perform operations such as electing leaders and detecting failed nodes. e Zookeeper cluster also known as a quorum. On the Assign Masters page, review the node assignments for Kafka nodes. A Hadoop cluster consists of several virtual. vendor import six from kafka import errors as Errors from kafka. The setup of Worker node is successful. Zookeeper elects its own leader automatically. Install agents on the cluster nodes automatically. A distributed system is one which is split into multiple running machines, all of which work together in a cluster to appear as one single node to the end user. If you are looking for a quick, fault tolerant and efficient way of pushing data from your Kafka cluster to Elasticsearch or Sematext, or any of the other supported integrations, Kafka Connect may be a good way to go. Each server in a Kafka cluster is known as a broker. Kafka MirrorMaker is a tool that allows us to mirror Kafka clusters, by making copies from a source cluster to a target cluster, as messages goes in. It is very easy to start several Kafka server instances and by doing that we can add broker(s) to the clusters. Conclusion. I've set up a few Kafka clusters in my time and aside from the ulimit issue I'd like to point out that using a single node Zookeeeper is going to set you up for failure. The reason for this is that we want the data (originally stored by Kafka on the source ZooKeeper cluster) to get copied onto the destination-cluster. properties and add Kafka server details on master node. We assume you already have kubernetes setup and running. Connect to the master node using SSH without a password. You can run Kafka tests on each Hadoop data node according to this quick start guide. I don't have the IPs of the AKS nodes, so I can't make exceptions in the clusters' virtual networks. Zookeeper elects its own leader automatically. For zookeeper, you should have java already installed on your system. 4 or higher includes the Kafka Custom Service Descriptor (CSD). Click the cluster node you want to disable to access the node's overview page. Also, we will see Kafka Zookeeper cluster setup. Kafka is distributed in the sense that it stores, receives and sends messages on different nodes (called brokers). I have yet to find anything like that for RabbitMQ. Select the SASL Type that your Kafka cluster is using. To install, you download Kafka using CM, then distribute Kafka to the cluster, activate the new parcel, and add the service to the cluster. We will be using CentOS 7 operating system on all the four VMs. conf” file for adding the nodes and do other configs. Apache Kafka is a distributed, partitioned, replicated commit log service. properties & server. In other words, Kafka brokers need it to form a cluster, and the topic configuration is stored in ZK nodes, etc. io is one of more used ones for. Reducing Cluster Load When Adding Nodes – Instaclustr at Cassandra Summit 2014 By Seema Haji , September 11, 2014 The Cassandra Summit is in full swing, featuring back-to-back training sessions packed with Apache Cassandra users across all experience levels ready to learn. A Hadoop cluster consists of several virtual. The KafkaProducer node allows you to publish messages to a topic on a Kafka server. The calculation works for data nodes, but assumes that. You can interact with your Kafka cluster via the Kafka shell:. To handle this, we run multiple zookeeper i. In this post, I want to follow up by showing how quickly you can create a. If quorum of the existing participants agree, the new node is added to the cluster. A cluster of Zookeeper nodes, known as an ensemble, is used by Kafka for cluster coordination and to store metadata about brokers, topics and partitions. Currently you can't remove nodes. A Cluster in a collection of multiple nodes which communicates with each other to perform set of operation at high available rates. Serializable marker interface to all of your application classes to avoid weird exceptions. In this tutorial, we'll setup zookeeper cluster with 3 node setup on the following servers: node1, node2, and node3. Kafka Streams instance on node-a shuts down. First let us start implementing single node-single broker configuration and we will then migrate our setup to single node-multiple brokers configuration. Steps to Setup Kafka Cluster. Cluster is basically a group of nodes, so that nodes can communicate with each other easily. This Kafka Cluster tutorial provide us some simple steps to setup Kafka Cluster. Blackhole is a 77 nodes cluster, with 200TB storage, 4. 8 (trunk) cluster on a single machine. jar to Hive auxlib. Each log segment is stored in a single broker. Driven by YugaByte DB's highly resilient Raft-based auto-rebalancing of tablet leaders/followers across all nodes, the new node drew about 3. I have a Thorough Introduction on this as well. Refer this zookeeper cluster setup if you don’t have one. It can also deliver very good performance. This is equivalent to a 'fire. Each node in the cluster is called a Kafka broker. On every node of the cluster add the following. Commissioning and Decommissioning Nodes in a Hadoop Cluster: Above diagram shows a step by step process to decommission a DataNode in the cluster. The Kafka Connector must be installed and configured. This is done in phases: Incrementally restart the cluster nodes to open additional secured port(s). Multiple Spark Worker Nodes. To create a unique name for the new node, you would typically replace the XX placeholder in the node name with a number. Stop a node and write again some messages in the producer console to verify the high availability is working. Kafka MirrorMaker is a tool that allows us to mirror Kafka clusters, by making copies from a source cluster to a target cluster, as messages goes in. At first you will try to add scala. Below is an example of how to run PX in a new node so it joins an existing cluster. Add new kafka nodes and see how performance is. If you want to add more Kafka brokers simply increase the value passed to docker-compose scale kafka=n. This limits both the availability and the durability of Kafka. Expected Result Plugin is installed successfully at the Fuel Master node and the corresponding output appears in the CLI. Lastly, Kafka, as a distributed system, runs in a cluster. As the number of slave nodes increases to the point where you have more than three racks, additional racks are composed only of slave nodes, aside from the ToR switches. Running Kafka on Kubernetes allows organizations to simplify operations such as upgrades, scaling, restarts, and monitoring which are more-or-less built into the Kubernetes platform. Also demonstrates load balancing Kafka consumers.

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