{"id":38865,"date":"2025-05-23T17:58:12","date_gmt":"2025-05-23T12:28:12","guid":{"rendered":"https:\/\/mobisoftinfotech.com\/resources\/?p=38865"},"modified":"2025-10-15T16:09:06","modified_gmt":"2025-10-15T10:39:06","slug":"spring-boot-apache-kafka-guide","status":"publish","type":"post","link":"https:\/\/mobisoftinfotech.com\/resources\/blog\/devops\/spring-boot-apache-kafka-guide","title":{"rendered":"Spring Boot with Apache Kafka Example: A Step by Step Guide from Beginner to Practitioner"},"content":{"rendered":"<p>Real time data processing is the backbone of today\u2019s smartest apps and services, and Apache Kafka is the engine that makes it all possible. Picture Kafka as a super charged message bus, whisking huge volumes of data from point A to point B in the blink of an eye. Whether you\u2019re building Spring Boot Kafka microservices, live dashboards, or simply keeping an eye on your Kafka integration with Spring Boot, Kafka has your back. In this post, part of our Spring Boot Apache Kafka tutorial, we\u2019ll demystify Kafka\u2019s architecture and show you how to take your first steps with it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What is Apache Kafka?<\/strong><\/h2>\n\n\n\n<p>Imagine a system that can handle millions of events per second without breaking a sweat, that\u2019s Kafka. Originally crafted at LinkedIn and now maintained by the Apache Software Foundation, Kafka is an open source platform built for:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>High throughput:<\/strong> It munches through vast streams of data.<\/li>\n\n\n\n<li><strong>Rock solid durability:<\/strong> Your messages are safely stored across multiple servers.<\/li>\n\n\n\n<li><strong>Seamless scaling:<\/strong> Easy to grow, whether you need one node or a thousand.<\/li>\n<\/ul>\n\n\n\n<p>From powering Twitch chat to financial tick by tick trading feeds, Kafka is the go to for real time streaming and forms the backbone of many Spring Boot Kafka examples in production systems.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/mobisoftinfotech.com\/services\/devops?utm_source=blog&amp;utm_medium=spring-boot-apache-kafka-guide-cta1 \"><noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/devops-deployment-spring-boot-kafka.png\" alt=\"DevOps automation for stress-free deployments\" class=\"wp-image-38873\" title=\"Automate Spring Boot Kafka Deployments with DevOps\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20363%22%3E%3C%2Fsvg%3E\" alt=\"DevOps automation for stress-free deployments\" class=\"wp-image-38873 lazyload\" title=\"Automate Spring Boot Kafka Deployments with DevOps\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/devops-deployment-spring-boot-kafka.png\"><\/a><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Key Concepts of Kafka<\/strong><\/h2>\n\n\n\n<p>Before you dive in, let\u2019s get cozy with Kafka\u2019s core ideas:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Topics<\/strong><\/h3>\n\n\n\n<p>Think of a topic as a named channel on your data highway. Producers (the senders) publish messages into topics; consumers (the receivers) tune in and pull the messages out.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Your data\u2019s playlist:<\/strong> Each topic is like its own streaming playlist, \u201cuser activity,\u201d \u201csystem alerts,\u201d or \u201corder events.\u201d<\/li>\n\n\n\n<li><strong>Built for scale and safety:<\/strong> When you push a message, Kafka automatically replicates it across the cluster. Even if a server goes down, your data stays safe.<\/li>\n\n\n\n<li><strong>You control the replay:<\/strong> Topics keep messages around based on retention settings, so you can replay days (or weeks) of events if you need to.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Producers<\/strong><\/h3>\n\n\n\n<p>Think of producers as the storytellers of your data world. These are the apps or devices like web servers logging clicks, IoT sensors streaming telemetry, or backend services firing off events that send messages into Kafka. Using Kafka\u2019s producer API, you decide where and when to send data: choose a topic, pick a partition strategy (so related messages stay together in order), and opt for synchronous or asynchronous delivery. Built in retries and acknowledgments mean your messages get there reliably, even if the network hiccups. This mechanism forms the basis of a typical Spring Boot Kafka producer configuration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Consumers<\/strong><\/h3>\n\n\n\n<p>Consumers are the eager readers of those stories, subscribing to one or more topics and pulling in messages to process in real time (or later, if you prefer). Maybe they power analytics dashboards, trigger downstream workflows, or stash data in your database. Grouping consumers turns them into a cooperative team: Kafka will divide up partitions so each message is only handled once, balancing load and keeping everything fault tolerant. If one consumer drops out, the group seamlessly picks up its work with no data left behind.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Partitions<\/strong><\/h3>\n\n\n\n<p>Partitions are Kafka\u2019s secret sauce for scale and speed. By slicing each topic into multiple ordered \u201cshards,\u201d Kafka spreads data across brokers and lets consumers work in parallel massive throughput, no sweat. Within each partition, message order is guaranteed, so related events stay in sequence. Across partitions, order can vary, but that trade off unlocks the ability to handle huge data volumes without bottlenecks. As you grow, just add partitions (and brokers), and Kafka keeps humming along.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Brokers<\/strong><\/h3>\n\n\n\n<p>Think of brokers as the backbone of your Kafka cluster. These servers store your data and handle every request from producers and consumers. Each broker owns a slice of topics and partitions, so when you publish a message, Kafka directs it to the right broker. Need more muscle? Just add brokers to scale horizontally. Thanks to built-in replication, copies of each partition live on multiple brokers, so if one goes down, another steps in without missing a beat. A good Spring Boot Kafka configuration ensures your brokers are efficiently utilized.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Consumer Groups<\/strong><\/h3>\n\n\n\n<p>Consumer groups turn individual consumers into a synchronized team. Join a group, and Kafka devises topic partitions so each message is processed once no overlaps, no gaps. If you have more consumers than partitions, some will wait for their turn; if a consumer fails, Kafka automatically redistributes its workload. Plus, each group tracks its offsets, so you can pause, restart, or recover from crashes and pick up right where you left off.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>ZooKeeper and the Raft<\/strong><\/h3>\n\n\n\n<p>For years, ZooKeeper has been Kafka\u2019s traffic cop, managing cluster metadata, broker registrations, topic configurations, and consumer group info. It keeps everyone in sync but adds deployment complexity.<\/p>\n\n\n\n<p>Enter Raft mode: Kafka\u2019s built in consensus system. Raft handles leader elections and metadata natively, slashing the need for an external ZooKeeper service. The result? A simpler, more resilient Kafka architecture that\u2019s easier to scale and maintain.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Use Kafka?<\/strong><\/h2>\n\n\n\n<p>Kafka brings a range of benefits to the table, making it a go to solution for real time data streaming:<\/p>\n\n\n\n<h3 class=\"wp-block-heading h3-list\"><strong>Scalability<\/strong><\/h3>\n\n\n\n<p>Need to handle more data? Just add brokers and partitions. Kafka grows with your needs.<\/p>\n\n\n\n<h3 class=\"wp-block-heading h3-list\"><strong>Fault Tolerance<\/strong><\/h3>\n\n\n\n<p>Our data stays safe, even if something goes wrong. Kafka replicates it across multiple brokers for peace of mind.<\/p>\n\n\n\n<h3 class=\"wp-block-heading h3-list\"><strong>High Throughput<\/strong><\/h3>\n\n\n\n<p>Kafka is built for speed. It\u2019s designed to manage huge volumes of messages without breaking a sweat.<\/p>\n\n\n\n<h3 class=\"wp-block-heading h3-list\"><strong>Durability<\/strong><\/h3>\n\n\n\n<p>Kafka stores your data on disk, so you can replay events when needed and keep a historical record for analysis or recovery.<br>These benefits are foundational to nearly every Spring Boot Kafka example used in production grade applications.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Running Kafka Locally with Docker<\/strong><\/h2>\n\n\n\n<p>Want to try Kafka without the added complexity of ZooKeeper? Kafka\u2019s KRaft mode (Kafka Raft Metadata mode) lets you run it independently. Here\u2019s how you can get started:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. <strong>Create a Docker Compose File<\/strong><\/h3>\n\n\n\n<p>Start by creating a <code>docker-compose.yml<\/code> file in your project directory with the necessary configuration.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">2. <strong>Start Kafka<\/strong><\/h3>\n\n\n\n<p>Use Docker to spin up the Kafka container. This launches Kafka in KRaft mode, skipping the need for ZooKeeper entirely.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">3. <strong>Verify Everything is Running<\/strong><\/h3>\n\n\n\n<p>&nbsp;Once it\u2019s up, check that Kafka is running as expected. You\u2019re now ready to send and receive messages locally.<\/p>\n\n\n\n<p>This setup gives you a lightweight way to experiment with Kafka on your machine, ideal for development, testing, or just getting familiar with how it all works.<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-1\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">services:\n broker1:\n   image: apache\/kafka:latest\n   <span class=\"hljs-attr\">container_name<\/span>: broker1\n   <span class=\"hljs-attr\">networks<\/span>:\n     - kafka-net\n   <span class=\"hljs-attr\">ports<\/span>:\n     - <span class=\"hljs-string\">\"9092:9092\"<\/span>\n     - <span class=\"hljs-string\">\"9093:9093\"<\/span>\n     - <span class=\"hljs-string\">\"29092:29092\"<\/span>\n   <span class=\"hljs-attr\">environment<\/span>:\n     KAFKA_NODE_ID: <span class=\"hljs-number\">1<\/span>\n     <span class=\"hljs-attr\">KAFKA_PROCESS_ROLES<\/span>: broker,controller\n     <span class=\"hljs-attr\">KAFKA_LISTENERS<\/span>: PLAINTEXT:<span class=\"hljs-comment\">\/\/0.0.0.0:9092,CONTROLLER:\/\/0.0.0.0:9093,INTERNAL:\/\/0.0.0.0:29092,EXTERNAL:\/\/0.0.0.0:29093<\/span>\n     KAFKA_ADVERTISED_LISTENERS: PLAINTEXT:<span class=\"hljs-comment\">\/\/localhost:9092,INTERNAL:\/\/broker1:29092,EXTERNAL:\/\/broker1:29093<\/span>\n     KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: CONTROLLER:PLAINTEXT,<span class=\"hljs-attr\">PLAINTEXT<\/span>:PLAINTEXT,<span class=\"hljs-attr\">INTERNAL<\/span>:PLAINTEXT,<span class=\"hljs-attr\">EXTERNAL<\/span>:PLAINTEXT\n     <span class=\"hljs-attr\">KAFKA_INTER_BROKER_LISTENER_NAME<\/span>: INTERNAL\n     <span class=\"hljs-attr\">KAFKA_CONTROLLER_LISTENER_NAMES<\/span>: CONTROLLER\n     <span class=\"hljs-attr\">KAFKA_CONTROLLER_QUORUM_VOTERS<\/span>: <span class=\"hljs-number\">1<\/span>@broker1:<span class=\"hljs-number\">9093<\/span>,<span class=\"hljs-number\">2<\/span>@broker2:<span class=\"hljs-number\">9093<\/span>,<span class=\"hljs-number\">3<\/span>@broker3:<span class=\"hljs-number\">9093<\/span>\n     <span class=\"hljs-attr\">KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR<\/span>: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR<\/span>: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_TRANSACTION_STATE_LOG_MIN_ISR<\/span>: <span class=\"hljs-number\">2<\/span>\n     <span class=\"hljs-attr\">KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS<\/span>: <span class=\"hljs-number\">0<\/span>\n     <span class=\"hljs-attr\">KAFKA_NUM_PARTITIONS<\/span>: <span class=\"hljs-number\">3<\/span>\n\n\n <span class=\"hljs-attr\">broker2<\/span>:\n   image: apache\/kafka:latest\n   <span class=\"hljs-attr\">container_name<\/span>: broker2\n   <span class=\"hljs-attr\">networks<\/span>:\n     - kafka-net\n   <span class=\"hljs-attr\">ports<\/span>:\n     - <span class=\"hljs-string\">\"9094:9092\"<\/span>\n     - <span class=\"hljs-string\">\"9095:9093\"<\/span>\n     - <span class=\"hljs-string\">\"29093:29092\"<\/span>\n   <span class=\"hljs-attr\">environment<\/span>:\n     KAFKA_NODE_ID: <span class=\"hljs-number\">2<\/span>\n     <span class=\"hljs-attr\">KAFKA_PROCESS_ROLES<\/span>: broker,controller\n     <span class=\"hljs-attr\">KAFKA_LISTENERS<\/span>: PLAINTEXT:<span class=\"hljs-comment\">\/\/0.0.0.0:9092,CONTROLLER:\/\/0.0.0.0:9093,INTERNAL:\/\/0.0.0.0:29092,EXTERNAL:\/\/0.0.0.0:29093<\/span>\n     KAFKA_ADVERTISED_LISTENERS: PLAINTEXT:<span class=\"hljs-comment\">\/\/localhost:9094,INTERNAL:\/\/broker2:29092,EXTERNAL:\/\/broker2:29093<\/span>\n     KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: CONTROLLER:PLAINTEXT,<span class=\"hljs-attr\">PLAINTEXT<\/span>:PLAINTEXT,<span class=\"hljs-attr\">INTERNAL<\/span>:PLAINTEXT,<span class=\"hljs-attr\">EXTERNAL<\/span>:PLAINTEXT\n     <span class=\"hljs-attr\">KAFKA_INTER_BROKER_LISTENER_NAME<\/span>: INTERNAL\n     <span class=\"hljs-attr\">KAFKA_CONTROLLER_LISTENER_NAMES<\/span>: CONTROLLER\n     <span class=\"hljs-attr\">KAFKA_CONTROLLER_QUORUM_VOTERS<\/span>: <span class=\"hljs-number\">1<\/span>@broker1:<span class=\"hljs-number\">9093<\/span>,<span class=\"hljs-number\">2<\/span>@broker2:<span class=\"hljs-number\">9093<\/span>,<span class=\"hljs-number\">3<\/span>@broker3:<span class=\"hljs-number\">9093<\/span>\n     <span class=\"hljs-attr\">KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR<\/span>: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR<\/span>: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_TRANSACTION_STATE_LOG_MIN_ISR<\/span>: <span class=\"hljs-number\">2<\/span>\n     <span class=\"hljs-attr\">KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS<\/span>: <span class=\"hljs-number\">0<\/span>\n     <span class=\"hljs-attr\">KAFKA_NUM_PARTITIONS<\/span>: <span class=\"hljs-number\">3<\/span>\n\n\n <span class=\"hljs-attr\">broker3<\/span>:\n   image: apache\/kafka:latest\n   <span class=\"hljs-attr\">container_name<\/span>: broker3\n   <span class=\"hljs-attr\">networks<\/span>:\n     - kafka-net\n   <span class=\"hljs-attr\">ports<\/span>:\n     - <span class=\"hljs-string\">\"9096:9092\"<\/span>\n     - <span class=\"hljs-string\">\"9097:9093\"<\/span>\n     - <span class=\"hljs-string\">\"29094:29092\"<\/span>\n   <span class=\"hljs-attr\">environment<\/span>:\n     KAFKA_NODE_ID: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_PROCESS_ROLES<\/span>: broker,controller\n     <span class=\"hljs-attr\">KAFKA_LISTENERS<\/span>: PLAINTEXT:<span class=\"hljs-comment\">\/\/0.0.0.0:9092,CONTROLLER:\/\/0.0.0.0:9093,INTERNAL:\/\/0.0.0.0:29092,EXTERNAL:\/\/0.0.0.0:29093<\/span>\n     KAFKA_ADVERTISED_LISTENERS: PLAINTEXT:<span class=\"hljs-comment\">\/\/localhost:9096,INTERNAL:\/\/broker3:29092,EXTERNAL:\/\/broker3:29093<\/span>\n     KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: CONTROLLER:PLAINTEXT,<span class=\"hljs-attr\">PLAINTEXT<\/span>:PLAINTEXT,<span class=\"hljs-attr\">INTERNAL<\/span>:PLAINTEXT,<span class=\"hljs-attr\">EXTERNAL<\/span>:PLAINTEXT\n     <span class=\"hljs-attr\">KAFKA_INTER_BROKER_LISTENER_NAME<\/span>: INTERNAL\n     <span class=\"hljs-attr\">KAFKA_CONTROLLER_LISTENER_NAMES<\/span>: CONTROLLER\n     <span class=\"hljs-attr\">KAFKA_CONTROLLER_QUORUM_VOTERS<\/span>: <span class=\"hljs-number\">1<\/span>@broker1:<span class=\"hljs-number\">9093<\/span>,<span class=\"hljs-number\">2<\/span>@broker2:<span class=\"hljs-number\">9093<\/span>,<span class=\"hljs-number\">3<\/span>@broker3:<span class=\"hljs-number\">9093<\/span>\n     <span class=\"hljs-attr\">KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR<\/span>: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR<\/span>: <span class=\"hljs-number\">3<\/span>\n     <span class=\"hljs-attr\">KAFKA_TRANSACTION_STATE_LOG_MIN_ISR<\/span>: <span class=\"hljs-number\">2<\/span>\n     <span class=\"hljs-attr\">KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS<\/span>: <span class=\"hljs-number\">0<\/span>\n     <span class=\"hljs-attr\">KAFKA_NUM_PARTITIONS<\/span>: <span class=\"hljs-number\">3<\/span>\n\n\n<span class=\"hljs-attr\">networks<\/span>:\n kafka-net:\n   driver: bridge<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-1\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<h4 class=\"wp-block-heading\">1. <strong>Run Docker Compose<\/strong><\/h4>\n\n\n\n<p>Open a terminal in the directory where you created the <code>docker-compose.yml<\/code> file and execute the following command to start the Kafka service:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">docker-compose up<\/code><\/span><\/pre>\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"421\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/run-kafka-docker-compose-spring-boot.png\" alt=\"Running Apache Kafka using Docker Compose\" class=\"wp-image-38875\" title=\"Docker Compose Setup for Spring Boot Kafka Development\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"421\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20421%22%3E%3C%2Fsvg%3E\" alt=\"Running Apache Kafka using Docker Compose\" class=\"wp-image-38875 lazyload\" title=\"Docker Compose Setup for Spring Boot Kafka Development\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/run-kafka-docker-compose-spring-boot.png\"><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">2. <strong>Access Kafka<\/strong><\/h4>\n\n\n\n<p>Once the containers are running, you can connect using any Kafka client or producer\/consumer tool.&nbsp;<\/p>\n\n\n\n<p>Ensure you&#8217;re using the correct broker address and port, which may vary based on whether you&#8217;re connecting from within the Docker network or from your host machine.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Broker 1: <code>localhost:9092<\/code><\/li>\n\n\n\n<li>Broker 2: <code>localhost:9094<\/code><\/li>\n\n\n\n<li>Broker 3: <code>localhost:9096<\/code><\/li>\n<\/ul>\n\n\n\n<p>From inside Docker (e.g., using kafka topics.sh from a broker container)<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Broker 1: <code>broker1:29093<\/code><\/li>\n\n\n\n<li>Broker 2:&nbsp;<code>broker2:29093<\/code><\/li>\n\n\n\n<li>Broker 3:&nbsp; <code>broker3:29093<\/code><\/li>\n<\/ul>\n\n\n\n<p>Make sure to specify the appropriate port when connecting to each broker to ensure successful communication with the Kafka cluster.<\/p>\n\n\n\n<p>Kafka&#8217;s architecture is designed with fault tolerance in mind. By distributing data across multiple brokers, Kafka ensures that if one broker fails, the data remains available through other brokers. Each partition of a topic can have multiple replicas, which are stored on different brokers.&nbsp;<\/p>\n\n\n\n<p>This replication mechanism allows Kafka to maintain data integrity and availability even in the event of broker failures. When a broker goes down, Kafka can automatically redirect requests to the available replicas, ensuring that the system continues to function smoothly and that no data is lost. This fault tolerance is a key feature that makes Kafka a reliable choice for distributed data streaming and underpins many resilient spring boot kafka producer and consumer example implementations.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">3. <strong>Create Topics and Produce\/Consume Messages<\/strong><\/h4>\n\n\n\n<p>You can use Kafka command line tools or any Kafka client library to create topics and send\/receive messages.<br>Below, I have shown you how to use the command<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-2\" data-shcb-language-name=\"CSS\" data-shcb-language-slug=\"css\"><span><code class=\"hljs language-css\">&nbsp;<span class=\"hljs-selector-tag\">kafka-topics<\/span><span class=\"hljs-selector-class\">.sh<\/span><\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-2\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">CSS<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">css<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p># SSH to docker container broker1<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"421\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-topics-message-flow-spring-boot.png\" alt=\"Kafka topics and message flow demonstration\" class=\"wp-image-38876\" title=\"Create Kafka Topics and Send\/Receive Messages in Spring Boot\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"421\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20421%22%3E%3C%2Fsvg%3E\" alt=\"Kafka topics and message flow demonstration\" class=\"wp-image-38876 lazyload\" title=\"Create Kafka Topics and Send\/Receive Messages in Spring Boot\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-topics-message-flow-spring-boot.png\"><\/figure>\n\n\n\n<p># Create topic<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">docker exec -it broker1 \/opt\/kafka\/bin\/kafka-topics.sh --create --topic kafkademo --bootstrap-server localhost:9092,localhost:9094,localhost:9096 --partitions 3 --replication-factor 3<\/code><\/span><\/pre>\n\n\n<p># List topics<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-3\" data-shcb-language-name=\"PHP\" data-shcb-language-slug=\"php\"><span><code class=\"hljs language-php\">docker exec -it broker1 \/opt\/kafka\/bin\/kafka-topics.sh --<span class=\"hljs-keyword\">list<\/span> --bootstrap-server localhost:<span class=\"hljs-number\">9092<\/span>,localhost:<span class=\"hljs-number\">9094<\/span>,localhost:<span class=\"hljs-number\">9096<\/span><\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-3\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">PHP<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">php<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<p># Describe topic<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">docker exec -it broker1 \/opt\/kafka\/bin\/kafka-topics.sh --describe --topic kafkademo --bootstrap-server localhost:9092,localhost:9094,localhost:9096<\/code><\/span><\/pre>\n\n\n<p># Delete topic<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-4\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">docker exec -it broker1 \/opt\/kafka\/bin\/kafka-topics.sh --<span class=\"hljs-keyword\">delete<\/span> --topic kafkademo --bootstrap-server localhost:<span class=\"hljs-number\">9092<\/span>,<span class=\"hljs-attr\">localhost<\/span>:<span class=\"hljs-number\">9094<\/span>,<span class=\"hljs-attr\">localhost<\/span>:<span class=\"hljs-number\">9096<\/span><\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-4\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"421\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/produce-consume-kafka-messages-spring-boot.png\" alt=\"Message production and consumption in Kafka\" class=\"wp-image-38877\" title=\"Producing and Consuming Kafka Messages with Spring Boot\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"421\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20421%22%3E%3C%2Fsvg%3E\" alt=\"Message production and consumption in Kafka\" class=\"wp-image-38877 lazyload\" title=\"Producing and Consuming Kafka Messages with Spring Boot\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/produce-consume-kafka-messages-spring-boot.png\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Springboot app to integrate Kafka to send and retrieve messages<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Prerequisites<\/strong><\/h3>\n\n\n\n<p>Before you start, ensure you have the following installed on your machine:<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">1. <strong>Java Development Kit (JDK)<\/strong><\/h4>\n\n\n\n<p>Make sure you have JDK 11 or later installed. You can check your Java version by running:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">java -version<\/code><\/span><\/pre>\n\n\n<h4 class=\"wp-block-heading\">2. <strong>Apache Maven<\/strong><\/h4>\n\n\n\n<p>You need Maven to build and manage your Spring Boot project. Check if Maven is installed by running:<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">mvn -version<\/code><\/span><\/pre>\n\n\n<h4 class=\"wp-block-heading\">3. <strong>Docker<\/strong><\/h4>\n\n\n\n<p>Ensure Docker is installed and running on your machine, as you will be using it to run Kafka. A proper Docker setup is essential for testing spring boot kafka microservices locally.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">4. <strong>Kafka Running<\/strong><\/h4>\n\n\n\n<p>Follow the previous instructions to set up and run Kafka locally using Docker without Zookeeper.<\/p>\n\n\n\n<p>Follow the previous instructions to set up and run Kafka locally using Docker without Zookeeper.<\/p>\n\n\n\n<p>If you&#8217;re preparing for deployment, check out our<a href=\"https:\/\/mobisoftinfotech.com\/services\/devops\"> DevOps services for Kafka based Spring Boot deployments<\/a> to streamline your CI\/CD workflows.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Set Up Your Spring Boot Project<\/strong><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">1. <strong>Create a New Spring Boot Project<\/strong><\/h4>\n\n\n\n<p>You can use Spring Initializr (<a href=\"https:\/\/start.spring.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/start.spring.io\/<\/a>) to generate a new Spring Boot project. Select the following dependencies:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Spring Web<\/li>\n\n\n\n<li>Spring for Apache Kafka<br><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">2. <strong>Download the Project<\/strong><\/h4>\n\n\n\n<p>Once you have selected the dependencies, click on &#8220;Generate&#8221; to download the project as a ZIP file. Extract it to your desired location and begin your spring boot kafka producer or consumer implementation.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Configure Kafka Properties<\/strong><\/h3>\n\n\n\n<p>Open the application.properties file (located in src\/main\/resources) and add the following configuration:<\/p>\n\n\n\n<p># Kafka properties<\/p>\n\n\n<pre class=\"wp-block-code\"><span><code class=\"hljs\">spring.application.name=kafkademo\nspring.kafka.bootstrap-servers=localhost:9092,localhost:9094,localhost:9096\nspring.kafka.consumer.group-id=my-group\nspring.kafka.consumer.auto-offset-reset=earliest\nspring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer\nspring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer<\/code><\/span><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Create a Kafka Producer<\/strong><\/h3>\n\n\n\n<p>Create a new class named <code>MessageProducerService<\/code> to send messages to Kafka:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-5\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\"><span class=\"hljs-keyword\">import<\/span> org.springframework.beans.factory.annotation.Autowired;\n<span class=\"hljs-keyword\">import<\/span> org.springframework.kafka.core.KafkaTemplate;\n<span class=\"hljs-keyword\">import<\/span> org.springframework.stereotype.Service;\n\n\n@Service\npublic <span class=\"hljs-class\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title\">MessageProducerService<\/span> <\/span>{\n\n\n   private final KafkaTemplate&lt;<span class=\"hljs-built_in\">String<\/span>, <span class=\"hljs-built_in\">String<\/span>&gt; kafkaTemplate;\n\n\n   @Autowired\n   public MessageProducerService(KafkaTemplate&lt;<span class=\"hljs-built_in\">String<\/span>, <span class=\"hljs-built_in\">String<\/span>&gt; kafkaTemplate) {\n       <span class=\"hljs-keyword\">this<\/span>.kafkaTemplate = kafkaTemplate;\n   }\n\n\n   public <span class=\"hljs-keyword\">void<\/span> sendMessage(<span class=\"hljs-built_in\">String<\/span> topic, <span class=\"hljs-built_in\">String<\/span> message) {\n       kafkaTemplate.send(topic, message);\n   }\n\n\n}<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-5\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Create a Kafka Consumer<\/strong><\/h3>\n\n\n\n<p>Create another class named <code>MessageConsumerService<\/code> to receive messages from Kafka:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-6\" data-shcb-language-name=\"CSS\" data-shcb-language-slug=\"css\"><span><code class=\"hljs language-css\"><span class=\"hljs-selector-tag\">import<\/span> <span class=\"hljs-selector-tag\">org<\/span><span class=\"hljs-selector-class\">.springframework<\/span><span class=\"hljs-selector-class\">.kafka<\/span><span class=\"hljs-selector-class\">.annotation<\/span><span class=\"hljs-selector-class\">.KafkaListener<\/span>;\n<span class=\"hljs-selector-tag\">import<\/span> <span class=\"hljs-selector-tag\">org<\/span><span class=\"hljs-selector-class\">.springframework<\/span><span class=\"hljs-selector-class\">.stereotype<\/span><span class=\"hljs-selector-class\">.Service<\/span>;\n\n\n<span class=\"hljs-keyword\">@Service<\/span>\npublic class MessageConsumerService {\n\n   <span class=\"hljs-keyword\">@KafkaListener<\/span>(topics = <span class=\"hljs-string\">\"test-topic\"<\/span>, groupId = <span class=\"hljs-string\">\"my-group\"<\/span>)\n   public void consumeMessageLister(String message) {\n       <span class=\"hljs-selector-tag\">System<\/span><span class=\"hljs-selector-class\">.out<\/span><span class=\"hljs-selector-class\">.println<\/span>(\"<span class=\"hljs-selector-tag\">Message<\/span> <span class=\"hljs-selector-tag\">received<\/span>: \" + <span class=\"hljs-selector-tag\">message<\/span>);\n   }\n}<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-6\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">CSS<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">css<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Create a REST Controller<\/strong><\/h3>\n\n\n\n<p>Create a REST controller to expose an endpoint for sending messages:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-7\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\"><span class=\"hljs-keyword\">import<\/span> org.springframework.http.ResponseEntity;\n<span class=\"hljs-keyword\">import<\/span> org.springframework.web.bind.annotation.PostMapping;\n<span class=\"hljs-keyword\">import<\/span> org.springframework.web.bind.annotation.RequestMapping;\n<span class=\"hljs-keyword\">import<\/span> org.springframework.web.bind.annotation.RequestParam;\n<span class=\"hljs-keyword\">import<\/span> org.springframework.web.bind.annotation.RestController;\n\n\n<span class=\"hljs-keyword\">import<\/span> com.mobisoftinfotech.kafkademo.services.MessageProducerService;\n\n\n@RestController\n@RequestMapping(<span class=\"hljs-string\">\"\/api\/kafka\"<\/span>)\npublic <span class=\"hljs-class\"><span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title\">MessageController<\/span> <\/span>{\n\n\n   private final MessageProducerService messageProducerService;\n\n\n   public MessageController(MessageProducerService messageProducerService) {\n       <span class=\"hljs-keyword\">this<\/span>.messageProducerService = messageProducerService;\n   }\n\n\n   @PostMapping(<span class=\"hljs-string\">\"\/send\"<\/span>)\n   public ResponseEntity&lt;<span class=\"hljs-built_in\">String<\/span>&gt; sendMessage(@RequestParam <span class=\"hljs-built_in\">String<\/span> message) {\n       messageProducerService.sendMessage(<span class=\"hljs-string\">\"test-topic\"<\/span>, message);\n       <span class=\"hljs-keyword\">return<\/span> ResponseEntity.ok(<span class=\"hljs-string\">\"Message sent successfully\"<\/span>);\n   }\n\n\n}<\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-7\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 6: Run Your Application<\/strong><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">1. <strong>Build and Run the Application<\/strong><\/h4>\n\n\n\n<p>Use your IDE to run the Spring Boot application or use the command line:<br><code>.\/mvnw spring-boot:run<\/code><\/p>\n\n\n\n<p>For deployment-ready workflows, explore how to<a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/ci-cd-with-docker-and-aws\"> integrate your Spring Boot Kafka app with a CI\/CD pipeline using Docker and AWS<\/a> to automate builds and releases.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">2. <strong>Send Messages<\/strong><\/h4>\n\n\n\n<p>You can send messages to Kafka by making a POST request to the endpoint. For example, you can use curl:<\/p>\n\n\n<pre class=\"wp-block-code\" aria-describedby=\"shcb-language-8\" data-shcb-language-name=\"JavaScript\" data-shcb-language-slug=\"javascript\"><span><code class=\"hljs language-javascript\">curl -X POST <span class=\"hljs-string\">\"http:\/\/localhost:8080\/api\/kafka\/send?message=HelloKafka\"<\/span><\/code><\/span><small class=\"shcb-language\" id=\"shcb-language-8\"><span class=\"shcb-language__label\">Code language:<\/span> <span class=\"shcb-language__name\">JavaScript<\/span> <span class=\"shcb-language__paren\">(<\/span><span class=\"shcb-language__slug\">javascript<\/span><span class=\"shcb-language__paren\">)<\/span><\/small><\/pre>\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"174\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-kafka-send-messages.png\" alt=\"Spring Boot Kafka producer sending messages\" class=\"wp-image-38878\" title=\"Spring Boot Kafka Producer Example - Sending Messages\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"174\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20174%22%3E%3C%2Fsvg%3E\" alt=\"Spring Boot Kafka producer sending messages\" class=\"wp-image-38878 lazyload\" title=\"Spring Boot Kafka Producer Example - Sending Messages\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-kafka-send-messages.png\"><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">3. <strong>Receive Messages<\/strong><\/h4>\n\n\n\n<p>The messages sent to the <code>test-topic<\/code> will be printed in the console where your Spring Boot application is running.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"855\" height=\"533\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-kafka-receive-messages.png\" alt=\"Spring Boot Kafka consumer receiving messages\" class=\"wp-image-38879\" title=\"Spring Boot Kafka Consumer Example - Receiving Messages\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"533\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20533%22%3E%3C%2Fsvg%3E\" alt=\"Spring Boot Kafka consumer receiving messages\" class=\"wp-image-38879 lazyload\" title=\"Spring Boot Kafka Consumer Example - Receiving Messages\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-kafka-receive-messages.png\"><\/figure>\n\n\n\n<p>You can download the above example source code from our repository <a href=\"https:\/\/github.com\/mobisoftinfotech\/spring-boot-kafka-example.git\" target=\"_blank\" rel=\"noreferrer noopener\">spring-boot-kafka-example<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Various Practical Usages of Kafka<\/strong><\/h2>\n\n\n\n<p>Kafka is a powerful event streaming platform used across industries to handle real time data efficiently. Here are some of its most common and practical applications for spring boot kafka example use cases.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. Basic Kafka Usage<\/strong><\/h3>\n\n\n\n<p>Kafka works as a messaging system where producers send data to topics. These topics organize data into streams. Brokers store and manage the data, while consumers read and process it. This decouples producers from consumers, making data flow more flexible and scalable, commonly seen in spring boot kafka configuration setups.<\/p>\n\n\n\n<p><strong>example<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"1200\" height=\"621\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/basic-apache-kafka-architecture.png\" alt=\"Basic Kafka architecture overview diagram\" class=\"wp-image-38880\" title=\"Understanding the Core Architecture of Apache Kafka\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"621\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20621%22%3E%3C%2Fsvg%3E\" alt=\"Basic Kafka architecture overview diagram\" class=\"wp-image-38880 lazyload\" title=\"Understanding the Core Architecture of Apache Kafka\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/basic-apache-kafka-architecture.png\"><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Microservices Communication<\/strong><\/h3>\n\n\n\n<p>In a microservices setup, Kafka acts as the messaging backbone. Each service sends messages to Kafka topics to represent events or data updates. Other services listen to these topics and consume messages asynchronously. This setup lets services respond to events without being tightly linked to the ones that produce them. As a result, the system becomes more resilient and easier to scale or maintain.<\/p>\n\n\n\n<p>This setup lets services respond to events without being tightly linked to the ones that produce them.&nbsp; To build a strong foundation, it\u2019s worth taking time to<a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/essential-principles-spring-boot-microservices\"> learn the core principles of Spring Boot microservices for scalable Kafka systems<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"1200\" height=\"717\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-microservices-kafka-communication.png\" alt=\" Microservices using Kafka for message communication\" class=\"wp-image-38881\" title=\"Spring Boot Microservices Architecture with Kafka Communication\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"717\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20717%22%3E%3C%2Fsvg%3E\" alt=\" Microservices using Kafka for message communication\" class=\"wp-image-38881 lazyload\" title=\"Spring Boot Microservices Architecture with Kafka Communication\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-microservices-kafka-communication.png\"><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Data Ingestion Pipeline<\/strong><\/h3>\n\n\n\n<p>Kafka plays a key role in data ingestion pipelines. It collects data from multiple sources like IoT devices or web apps and buffers it to manage traffic spikes. Stream processing tools then handle the data in real time, applying transformations or aggregations as needed. Once processed, the data moves to a final destination, such as a database or data lake, for storage and analysis.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"1200\" height=\"809\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-data-ingestion-pipeline.png\" alt=\"Kafka data ingestion pipeline architecture\n\" class=\"wp-image-38882\" title=\"Building Scalable Data Ingestion Pipelines with Kafka\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"809\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20809%22%3E%3C%2Fsvg%3E\" alt=\"Kafka data ingestion pipeline architecture\n\" class=\"wp-image-38882 lazyload\" title=\"Building Scalable Data Ingestion Pipelines with Kafka\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-data-ingestion-pipeline.png\"><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Event Driven Systems<\/strong><\/h3>\n\n\n\n<p>Kafka powers event driven systems by letting services react to real time events. Producers send events, like state changes or user actions to Kafka topics. Consumers subscribe to these events and act on them immediately, triggering workflows or updating databases. This approach creates responsive systems that adapt quickly to change, boosting overall agility.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"1200\" height=\"762\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-event-driven-architecture-spring-boot.png\" alt=\"Event-driven system using Kafka\" class=\"wp-image-38883\" title=\"Design Event-Driven Systems Using Apache Kafka\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"762\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20762%22%3E%3C%2Fsvg%3E\" alt=\"Event-driven system using Kafka\" class=\"wp-image-38883 lazyload\" title=\"Design Event-Driven Systems Using Apache Kafka\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-event-driven-architecture-spring-boot.png\"><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Real-Time Analytics<\/strong><\/h3>\n\n\n\n<p>Kafka is widely used for real time analytics. It ingests and buffers continuous data streams from multiple sources. Stream processors handle this data instantly filtering, aggregating, or transforming it on the fly. The processed results feed into dashboards, giving teams up-to-date insights and helping them make fast, informed decisions, often with a spring boot kafka producer and consumer example setup.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><noscript><img decoding=\"async\" width=\"1200\" height=\"641\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/real-time-analytics-kafka-spring-boot.png\" alt=\"Real-time analytics with Kafka stream processing\" class=\"wp-image-38884\" title=\"Real-Time Analytics with Apache Kafka and Spring Boot\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"641\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20641%22%3E%3C%2Fsvg%3E\" alt=\"Real-time analytics with Kafka stream processing\" class=\"wp-image-38884 lazyload\" title=\"Real-Time Analytics with Apache Kafka and Spring Boot\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/real-time-analytics-kafka-spring-boot.png\"><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Wrapping Up<\/strong><\/h2>\n\n\n\n<p>Think of Kafka as the secret sauce that brings real time data to life. It turns your streams into organized channels, topics and keeps everything moving smoothly between producers, brokers, and consumers. The result? Lightning fast, reliable, and endlessly scalable data flows.<\/p>\n\n\n\n<p>We walked you through spinning up Kafka with Docker and plugging it into a Spring Boot app. In just a few steps, you\u2019re sending and receiving messages in real time perfect for live dashboards, microservices chatting, or on the fly analytics, based on common spring boot apache kafka tutorial workflows.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full Integrating Apache Kafka with Spring Boot Using Docker\"><noscript><img decoding=\"async\" width=\"1200\" height=\"761\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-docker-spring-boot-setup.png\" alt=\"Kafka setup with Docker and Spring Boot integration\" class=\"wp-image-38885\"><\/noscript><img decoding=\"async\" width=\"1200\" height=\"761\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%201200%20761%22%3E%3C%2Fsvg%3E\" alt=\"Kafka setup with Docker and Spring Boot integration\" class=\"wp-image-38885 lazyload\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/kafka-docker-spring-boot-setup.png\"><\/figure>\n\n\n\n<p>In a world where data moves at warp speed, Kafka is the toolkit you need to keep pace. Whether you\u2019re starting fresh or giving your existing platform a turbo boost, Kafka lets you handle whatever comes at you today, tomorrow, and beyond.Curious to see what real time streaming can do for your project? Dive in, experiment with Kafka\u2019s powerful features, and watch your data driven apps take off. The future\u2019s streaming, and you\u2019re in the driver\u2019s seat.&nbsp; You can also<a href=\"https:\/\/mobisoftinfotech.com\/services\/hire-devops-engineers\"> hire expert DevOps engineers to assist<\/a> with Kafka integration, scaling, and automated deployment.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/mobisoftinfotech.com\/contact-us?utm_source=blog&amp;utm_medium=spring-boot-apache-kafka-guide-cta2\"><noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/build-scalable-apps-spring-boot-kafka.png\" alt=\"Building scalable apps with Spring Boot and Kafka\" class=\"wp-image-38874\" title=\"Build Your Next Big Idea with Spring Boot and Kafka\"><\/noscript><img decoding=\"async\" width=\"855\" height=\"363\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%22http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%22%20viewBox%3D%220%200%20855%20363%22%3E%3C%2Fsvg%3E\" alt=\"Building scalable apps with Spring Boot and Kafka\" class=\"wp-image-38874 lazyload\" title=\"Build Your Next Big Idea with Spring Boot and Kafka\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/build-scalable-apps-spring-boot-kafka.png\"><\/a><\/figure>\n\n\n<div class=\"related-posts-section\"><h2>Related Posts<\/h2><ul class=\"related-posts-list\"><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/devops\/aws-security-monitoring-amazon-guardduty-threat-detection\">AWS Security Monitoring: Complete guide for Amazon GuardDuty for AWS Threat Detection<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/devops\/aws-devsecops-amazon-inspector-security-assessment\">AWS DevSecOps: Amazon Inspector&nbsp; for Automated Security Assessment<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/devops\/docker-image-optimization-guide\">Docker Images Optimization for Faster and Secure Deployments: A Comprehensive Guide for Developers<\/a><\/li><li><a href=\"https:\/\/mobisoftinfotech.com\/resources\/blog\/devops\/docker-image-vs-container-lifecycle\">Docker Image vs Container: Understanding the Lifecycle &amp; Key Differences<\/a><\/li><\/ul><\/div>\n\n\n<div class=\"modern-author-card\">\n    <div class=\"author-card-content\">\n        <div class=\"author-info-section\">\n            <div class=\"author-avatar\">\n                <noscript><img decoding=\"async\" src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2024\/12\/Pratik.png\" alt=\"Pratik Kale\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"Pratik Kale\" data-src=\"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2024\/12\/Pratik.png\" class=\" lazyload\">\n            <\/div>\n            <div class=\"author-details\">\n                <h3 class=\"author-name\">Pratik Kale<\/h3>\n                <p class=\"author-title\">Web and Cloud Technology Team Lead<\/p>\n                <a href=\"javascript:void(0);\" class=\"read-more-link read-more-btn\" onclick=\"toggleAuthorBio(this); return false;\">Read more <noscript><img decoding=\"async\" src=\"\/assets\/images\/blog\/Vector.png\" alt=\"expand\" class=\"read-more-arrow down-arrow\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"expand\" class=\"read-more-arrow down-arrow lazyload\" data-src=\"\/assets\/images\/blog\/Vector.png\"><\/a>\n                <div class=\"author-bio-expanded\">\n                    <p>Pratik Kale leads the Web and Cloud technology team at <a href=\"https:\/\/mobisoftinfotech.com\" target=\"_blank\" rel=\"noopener\">Mobisoft Infotech<\/a>. With 14 years of experience, he specializes in building complex software systems, particularly focusing on backend development and cloud computing. He is an expert in programming languages like Java and Node.js, and frameworks like Spring Boot. Pratik creates technology solutions that not only solve current business problems but are also designed to handle future challenges.<\/p>\n                    <div class=\"author-social-links\"><div class=\"social-icon\"><a href=\"https:\/\/www.linkedin.com\/in\/kale-pratik\/\" target=\"_blank\" rel=\"nofollow noopener\"><i class=\"icon-sprite linkedin\"><\/i><\/a>\n                     <a href=\"https:\/\/x.com\/kalepratikp\" target=\"_blank\" rel=\"nofollow noopener\"><i class=\"icon-sprite twitter\"><\/i><\/a><\/div><\/div>\n                    <a href=\"javascript:void(0);\" class=\"read-more-link read-less-btn\" onclick=\"toggleAuthorBio(this); return false;\" style=\"display: none;\">Read less <noscript><img decoding=\"async\" src=\"\/assets\/images\/blog\/Vector.png\" alt=\"collapse\" class=\"read-more-arrow up-arrow\"><\/noscript><img decoding=\"async\" src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" alt=\"collapse\" class=\"read-more-arrow up-arrow lazyload\" data-src=\"\/assets\/images\/blog\/Vector.png\"><\/a>\n                <\/div>\n            <\/div>\n        <\/div>\n        <div class=\"share-section\">\n            <span class=\"share-label\">Share Article<\/span>\n            <div class=\"social-share-buttons\">\n                <a href=\"https:\/\/www.facebook.com\/sharer\/sharer.php?u=https%3A%2F%2Fmobisoftinfotech.com%2Fresources%2Fblog%2Fdevops%2Fspring-boot-apache-kafka-guide\" target=\"_blank\" class=\"share-btn facebook-share\"><i class=\"fa fa-facebook-f\"><\/i><\/a>\n                <a href=\"https:\/\/www.linkedin.com\/sharing\/share-offsite\/?url=https%3A%2F%2Fmobisoftinfotech.com%2Fresources%2Fblog%2Fdevops%2Fspring-boot-apache-kafka-guide\" target=\"_blank\" class=\"share-btn linkedin-share\"><i class=\"fa fa-linkedin\"><\/i><\/a>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/div>\n\n\n\n<style>\nspan.hljs-selector-tag {\n    font-weight: normal;\n}\n\nspan.hljs-attribute {\n    font-weight: normal;\n}\nh4.wp-block-heading{\nfont-size:20px;\n}\nh3.wp-block-heading{\nfont-size:22px;\n}\nh3.wp-block-heading.h3-list {\n    position: relative;\nfont-size:20px;\n    padding-left: 20px;\n}\n\nh3.wp-block-heading.h3-list:before {\n    position: absolute;\n    content: '';\n    background: #0d265c;\n    height: 9px;\n    width: 9px;\n    left: 0;\n    border-radius: 50px;\n    top: 8px;\n}\n@media only screen and (max-width: 991px) {\n    .post-content li {\n       padding-left: 25px;\n    }\n    .post-content li:before {\n        content: '';\n         width: 9px;\n        height: 9px;\n        background-color: #0d265c;\n        border-radius: 50%;\n        position: absolute;\n        left: 0px;\n        top: 12px;\n    }\n}\n<\/style>\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"Article\",\n  \"mainEntityOfPage\": {\n    \"@type\": \"WebPage\",\n    \"@id\": \"https:\/\/mobisoftinfotech.com\/resources\/blog\/devops\/spring-boot-apache-kafka-guide\"\n  },\n  \"headline\": \"Spring Boot with Apache Kafka Example: A Step by Step Guide from Beginner to Practitioner\",\n  \"description\": \"Step by step guide to integrate Apache Kafka with Spring Boot. Learn setup, config, producer\/consumer, Kafka Streams & real-world microservices use cases..\",\n  \"image\": \"https:\/\/mobisoftinfotech.com\/resources\/wp-content\/uploads\/2025\/05\/spring-boot-apache-kafka-guide\",\n  \"author\": {\n    \"@type\": \"Person\",\n    \"name\": \"Pratik Kale\",\n    \"description\": \"Pratik Kale leads the Web and Cloud technology team at Mobisoft Infotech. With 14 years of experience, he specializes in building complex software systems, particularly focusing on backend development and cloud computing. He is an expert in programming languages like Java and Node.js, and frameworks like Spring Boot. Pratik creates technology solutions that not only solve current business problems but are also designed to handle future challenges.\"\n  },\n  \"publisher\": {\n    \"@type\": \"Organization\",\n    \"name\": \"Mobisoft Infotech\",\n    \"logo\": {\n      \"@type\": \"ImageObject\",\n      \"url\": \"https:\/\/mobisoftinfotech.com\/assets\/images\/mshomepage\/MI_Logo-white.svg\",\n      \"width\": 600,\n      \"height\": 600\n    }\n  },\n  \"datePublished\": \"2025-05-23\",\n  \"dateModified\": \"2025-05-23\"\n}\n<\/script>\n<script type=\"application\/ld+json\">\n{\n    \"@context\": \"https:\/\/schema.org\",\n    \"@type\": \"LocalBusiness\",\n    \"name\": \"Mobisoft Infotech\",\n    \"url\": \"https:\/\/mobisoftinfotech.com\",\n    \"logo\": \"https:\/\/mobisoftinfotech.com\/assets\/images\/mshomepage\/MI_Logo-white.svg\",\n    \"description\": \"Mobisoft Infotech specializes in custom software development and digital solutions.\",\n    \"address\": {\n        \"@type\": 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