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You will learn about Error Handling and Retry pattern from Kafka topic(s) using spring boot so as not to lose any message. #1 Publishing to the Kafka topic using Spring KafkaTemplate and REST endpoint using spring boot. #2 Listening to the topic using Spring Kafka Listener and publishing the failed messages to another retry topic. #3 Listening and retrying the messages and saving the failed messages to a database. Find the link to the git repo: 🤍 If you like the content, do like and subscribe, and do share the feedback. #apache #kafka #latest #springkafka #errorhandling #retry #java #pattern #springboot #softwaredesign #softwaredevelopment #eventdrivenarchitecture #decoupled #microservices #QuickLearningHub
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In this tutorial I show you how to use Apache Kafka with Spring Boot and Docker. *Links* 🔗 Kafka Docker Compose Quickstart: 🤍 🔗 Code on GitHub: 🤍 🔗 Code Snippets: 🤍 *Connect With Me* 🐥 Twitter: 🤍 📸 Instagram: 🤍 *Timestamps* 0:00 Intro 0:06 What is Kafka? 0:36 Project Setup 3:35 Running Kafka in Docker 7:10 Create a Kafka Topic 08:10 Configuration Properties 10:18 Putting Messages onto the Topic 21:18 Consuming Messages from the Topic 26:14 Next Up
Kafka is ideal for log aggregation, particularly for applications that use microservices and are distributed across multiple hosts. This is an example Spring Boot application that uses Log4j2's Kafka appender to send JSON formatted log messages to a Kafka topic. Here's the Github repo: 🤍
¡Aprende a integrar Spring y Kafka para crear aplicaciones robustas y escalables con este tutorial en vídeo! En este tutorial, te mostraré cómo usar Spring para conectar tu aplicación con Kafka, cómo publicar y consumir mensajes desde un tema de Kafka. ¡No te lo pierdas! ▶️ Repositorio de GitHub con el código fuente: 🤍 ▶️ Documentación oficial Apache Kafka: 🤍 🔔 Redes sociales 🔔 🔶Facebook: 🤍 🔶Instagram: 🤍 🔶 Contacto: unprogramadornace🤍gmail.com ⭐Donaciones⭐ 🤍 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 Si este video ha sido de ayuda para ti, por favor ayudame tú a mí con un poderoso like al video y suscribiéndote al canal para seguir creando más contenido como este. 🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟🌟 📚 Temario: 00:00 Introducción 03:00 Arquitectura de Kafka 09:23 Instalación de Kafka 12:54 Iniciar servidor de Kafka y Zookeeper 20:54 Crear un topic en nuestro servidor Kafka 26:10 Enviar mensajes y recibirlos en el servidor Kafka 32:10 Crear nuestra aplicación modular de Spring Boot 43:21 Personalizar banner de nuestros microservicios 49:00 Configurar nuestro microservicio Provider 01:10:00 Enviar nuestro primer mensaje a Kafka con Spring Boot 01:18:27 Configurar nuestro microservicio Consumer 01:26:06 Prueba final de envío y consumo de mensaje Kafka en Spring Boot 🔶 Comandos Zookeeper y Kafka: ▶️ Iniciar Zookeeper .\bin\windows\zookeeper-server-start.bat .\config\zookeeper.properties ▶️ Iniciar Kafka .\bin\windows\kafka-server-start.bat .\config\server.properties ▶️ Crea un nuevo topic en el servidor de kafka .\bin\windows\kafka-topics.bat create topic {topic-name} bootstrap-server {host}:9092 ▶️ Decribir los detalles de un topic .\bin\windows\kafka-topics.bat describe topic {topic-name} bootstrap-server {host}:9092 ▶️ Listar todos los topics que existen dentro del broker .\bin\windows\kafka-topics.bat list bootstrap-server {host}:9092 ▶️ Inicia una consola para ver mensajes de un topic específico .\bin\windows\kafka-console-consumer.bat topic {nombreTopic} bootstrap-server {host}:9092 ▶️ Inicia una consola para enviar mensajes a un topic específico .\bin\windows\kafka-console-producer.bat broker-list {host}:9092 topic {topic-name} No olvides que un programador en Spring For Kafka nace programando en Spring For Kafka. Práctica todo lo que puedas que la meta está a la vuelta de la esquina, solo debes ir por ella. Si tienes alguna pregunta no dudes en escribirla en los comentarios. Saludos! #spring #kafka #consumer #provider #java #programacion #springboot
This videos explain about creating environments, cluster for Apache Kafka on Confluent Cloud platform. It also exhibits connecting to Kafka cluster created in Confluent Cloud, produce & consume events. Like | Subscribe | Share I have outlined Spring Kafka related properties used to connect Confluent Cloud platform in the video - spring: kafka: bootstrap-servers: confluent-cloud-broker-url:9092 properties: schema: registry: url: schema-registry-url basic: auth: credentials: source: USER_INFO user: info: SCHEMA_REGISTRY_API_KEY:SCHEMA_REGISTRY_SECRET sasl: jaas: config: org.apache.kafka.common.security.plain.PlainLoginModule required username="KAFKA_API_KEY" password="KAFKA_SCHEMA_REGISTRY"; mechanism: PLAIN security: protocol: SASL_SSL ssl: endpoint: identification: algorithm: https consumer: autoOffsetReset: earliest group-id: spring-boot-avro-consumer-id keyDeserializer: org.apache.kafka.common.serialization.StringDeserializer properties: specific: avro: reader: true valueDeserializer: io.confluent.kafka.serializers.KafkaAvroDeserializer producer: keySerializer: org.apache.kafka.common.serialization.StringSerializer valueSerializer: io.confluent.kafka.serializers.KafkaAvroSerializer
🤍 | Learn to set up Cloud Schema Registry with Spring Boot, first enabling it in Confluent Cloud then collecting your endpoint and credentials. The latter will need to be added to your Spring application along with some dependencies. Use the promo code SPRING101 to get $25 of free Confluent Cloud usage: 🤍 Promo code details: 🤍 LEARN MORE ► Using Schema Registry and Avro in Spring Boot Applications: 🤍 ► Quick Start for Schema Management on Confluent Cloud: 🤍 ► Schema Registry and Confluent Cloud: 🤍 ► Confluent Cloud Schema Registry Tutorial: 🤍 ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit 🤍confluent.io. #kafka #springboot #java
Hello everyone, In this video, We will connect with Apache Kafka using Spring Cloud Stream's Kafka Binder approach. It will be fun and exciting approach where you need very minimal configuration to work through your spring boot and Apache Kafka server.
Spark Programming and Azure Databricks ILT Master Class by Prashant Kumar Pandey - Fill out the google form for Course inquiry. 🤍 - Data Engineering using is one of the highest-paid jobs of today. It is going to remain in the top IT skills forever. Are you in database development, data warehousing, ETL tools, data analysis, SQL, PL/QL development? I have a well-crafted success path for you. I will help you get prepared for the data engineer and solution architect role depending on your profile and experience. We created a course that takes you deep into core data engineering technology and masters it. If you are a working professional: 1. Aspiring to become a data engineer. 2. Change your career to data engineering. 3. Grow your data engineering career. 4. Get Databricks Spark Certification. 5. Crack the Spark Data Engineering interviews. ScholarNest is offering a one-stop integrated Learning Path. The course is open for registration. The course delivers an example-driven approach and project-based learning. You will be practicing the skills using MCQ, Coding Exercises, and Capstone Projects. The course comes with the following integrated services. 1. Technical support and Doubt Clarification 2. Live Project Discussion 3. Resume Building 4. Interview Preparation 5. Mock Interviews Course Duration: 6 Months Course Prerequisite: Programming and SQL Knowledge Target Audience: Working Professionals Batch start: Registration Started Fill out the below form for more details and course inquiries. 🤍 Learn more at 🤍 Best place to learn Data engineering, Bigdata, Apache Spark, Databricks, Apache Kafka, Confluent Cloud, AWS Cloud Computing, Azure Cloud, Google Cloud - Self-paced, Instructor-led, Certification courses, and practice tests. SPARK COURSES - 🤍 🤍 🤍 🤍 🤍 KAFKA COURSES 🤍 🤍 🤍 AWS CLOUD 🤍 🤍 PYTHON 🤍 We are also available on the Udemy Platform Check out the below link for our Courses on Udemy 🤍 = You can also find us on Oreilly Learning 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 = Follow us on Social Media 🤍 🤍 🤍 🤍 🤍 🤍
Welcome to Spring Boot + Apache Kafka Tutorial series. In this lecture, we will create a Kafka topic in our Spring boot application. #springboot #kafka #javaguides Complete playlist at 🤍 GitHub link: 🤍
What is Kafka Stream? Learn Kafka Stream with real time processing. Queries Solved - kafka Stream - Using kafka Stream as a filter #Kafka Stream #Spring boot #kafka #fullstackmania Github URL for Source code :- 🤍 Channel Link:- 🤍 Don't click this: 🤍 If you like the video , Please do subscribe my channel. Keep Supporting me so that I can Continue to provide you free content. - Thank you for watching -
Welcome to Spring Boot + Apache Kafka Tutorial series. In this lecture, we will take a look at how to install and setup Apache Kafka on the local machine. #springboot #kafka #javaguides Complete playlist at 🤍 GitHub link: 🤍
Learn how to consume messages from a Kafka topic seamlessly using Apache Camel and Spring Boot. Discover the power of event-driven processing and streamline your data pipelines. 🤍
#kafka #apachekafka #kafkalisteners #kafkaconsumers #springBoot How to install apache kafka in windows system. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. git link for code: 🤍 Kafka Installation: 🤍
I am going to start a new free series on building Event-Driven Microservices with Spring Boot and Apache Kafka. In this lecture, we will see the overview of the course and what you are going to learn in this series. Prerequisite: Spring Boot + Apache Kafka Tutorial Series - 🤍 #springboot #kafka #microservices
Hi everyone! in this video we will see how we can write the integration test for kafka based application. Main challenge with such application is the external dependency to the kafka server, because of that our test might be flaky. In this video we will see how to add EmbeddedKafka/TestContainer for kafka to overcome this challenge.
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Springboot Full Apache Kafka Core Integration | Apache Kafka Producer and Consumer | Spring API Example Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Open source distributed system which is run as a cluster It consists of servers and clients that interact via high TCP network protocol Utilises Brokers that stream data (Events) from Producers to Consumers that are subscribed to a specific topic Specific events are streamed into a specific topic that is shared across all brokers within a cluster Resources: kafka: 🤍 Kafka Docs: 🤍 Kafka Download: 🤍 Srping Kafka Docs: 🤍 Spring Initialzr: 🤍 PLEASE SUPPORT THE CHANNEL: Donate from $5 Link: 🤍 Please do like and Subscribe, moreover share your comment
Welcome to Spring Boot + Apache Kafka Tutorial series. In this lecture, we will take a look at the Apache Kafka's important core concepts or terminologies: - Kafka cluster - Kafka broker - Kafka producer - Kafka consumer - Kafka topic - Kafka partitions - Kafka offsets - Kafka consumer group #springboot #kafka #javaguides Complete playlist at 🤍 GitHub link: 🤍
► TRY THIS YOURSELF: 🤍 In this video you learn what Confluent Schema Registry is and how it works. ► For a COMPLETE IMMERSIVE HANDS-ON EXPERIENCE, go to 🤍 - - - ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness the business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics, and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large-volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit 🤍 #kafka #kafkastreams #streamprocessing #apachekafka #confluent
Welcome to Spring Boot + Apache Kafka Tutorial series. In this lecture, we will configure Kafka Producer and Kafka Consumer in an application.properties file. #springboot #kafka #javaguides Complete playlist at 🤍 GitHub link: 🤍
Spark Programming and Azure Databricks ILT Master Class by Prashant Kumar Pandey - Fill out the google form for Course inquiry. 🤍 - Data Engineering using is one of the highest-paid jobs of today. It is going to remain in the top IT skills forever. Are you in database development, data warehousing, ETL tools, data analysis, SQL, PL/QL development? I have a well-crafted success path for you. I will help you get prepared for the data engineer and solution architect role depending on your profile and experience. We created a course that takes you deep into core data engineering technology and masters it. If you are a working professional: 1. Aspiring to become a data engineer. 2. Change your career to data engineering. 3. Grow your data engineering career. 4. Get Databricks Spark Certification. 5. Crack the Spark Data Engineering interviews. ScholarNest is offering a one-stop integrated Learning Path. The course is open for registration. The course delivers an example-driven approach and project-based learning. You will be practicing the skills using MCQ, Coding Exercises, and Capstone Projects. The course comes with the following integrated services. 1. Technical support and Doubt Clarification 2. Live Project Discussion 3. Resume Building 4. Interview Preparation 5. Mock Interviews Course Duration: 6 Months Course Prerequisite: Programming and SQL Knowledge Target Audience: Working Professionals Batch start: Registration Started Fill out the below form for more details and course inquiries. 🤍 Learn more at 🤍 Best place to learn Data engineering, Bigdata, Apache Spark, Databricks, Apache Kafka, Confluent Cloud, AWS Cloud Computing, Azure Cloud, Google Cloud - Self-paced, Instructor-led, Certification courses, and practice tests. SPARK COURSES - 🤍 🤍 🤍 🤍 🤍 KAFKA COURSES 🤍 🤍 🤍 AWS CLOUD 🤍 🤍 PYTHON 🤍 We are also available on the Udemy Platform Check out the below link for our Courses on Udemy 🤍 = You can also find us on Oreilly Learning 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 = Follow us on Social Media 🤍 🤍 🤍 🤍 🤍 🤍
► TRY THIS YOURSELF: 🤍 Learn how partitioning works in Apache Kafka. With partitioning, the effort behind storing, processing, and messaging can be split among many nodes in the cluster. ► For a COMPLETE IMMERSIVE HANDS-ON EXPERIENCE, go to 🤍 - - - ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness the business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics, and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large-volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit 🤍 #kafka #kafkastreams #streamprocessing #apachekafka #confluent
In this video we are going to learn Kafka in 2 hours. we will install kafak, kafka manger. We will write producer and consumer in python. we will also learn about kafka topics, Kafka replication, zookeeper etc #kafka #kafkatutorial #learnkafka #kafkaforbeginners
Welcome to our comprehensive tutorial on integrating Spring Boot with Spring Kafka to create an efficient Apache Kafka consumer using Spring Boot. In this video, we'll guide you through the process of building a Kafka consumer with Spring Boot, enabling you to consume and process messages from Kafka topics with ease. Key Topics Covered: 1. Introduction to Spring Kafka Consumer: - Gain a clear understanding of the role of a Kafka consumer in the world of event-driven architecture. 2. Setting Up Your Environment: - We'll guide you through the initial setup, including the installation of Spring Boot and configuring your project. 3. Spring Kafka Essentials: - Explore the fundamental concepts of Spring Kafka, including consumers, topics, Kafka templates, and message processing. 4. Creating a Spring Kafka Consumer: - Step-by-step, we'll build a Spring Boot application that serves as a Kafka consumer, including code examples and explanations. 5. Configuring Kafka Properties: - Learn how to configure Kafka properties in your Spring Boot application to connect seamlessly with your Kafka broker. 6. Consuming Messages from Kafka: - Discover how to consume and process messages from Kafka topics using Spring Kafka's intuitive methods. 7. Error Handling and Best Practices: - Explore error handling strategies and best practices to ensure the reliability of your Kafka consumer. 8. Testing Your Kafka Consumer: - We'll demonstrate how to test your Kafka consumer and verify that it's functioning as expected. By the end of this tutorial, you'll have a fully functional Spring Boot application that acts as a robust Kafka consumer, capable of efficiently consuming and processing messages from Kafka topics. Whether you're a seasoned developer or just getting started with Spring Boot and Kafka, this tutorial will provide valuable insights and practical examples to help you integrate Kafka message consumption into your applications. If you found this video helpful, please consider giving it a thumbs up, subscribing to our channel for more tech tutorials, and hitting the notification bell to stay updated on our latest content. Got questions or need further assistance? Feel free to leave a comment below, and we'll do our best to help you out. Thanks for watching, and let's get started with building your Apache Kafka consumer using Spring Boot! Spring Boot with Spring Kafka Consumer Example | What is Apache Kafka & Apache Kafka Consumer Example using SpringBoot | Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners Click the below link to download the Java Source code and PPT: 🤍 Click the below GitHub link to download the Java Source code and PPT: 🤍 Click the below Bitbucket link to download the Java Source code and PPT: 🤍 You can find each topic playlist here - 🤍 #SpringBoot #SpringKafka #KafkaConsumer #ApacheKafka #ConsumerExample #SpringBootTutorial #EventDrivenArchitecture #KafkaMessaging #SpringFramework #ProgrammingTutorial
Explore IBM Event Automation → 🤍 Learn more about Kafka: 🤍 Users of modern-day cloud applications expect a real-time experience but how is this achieved? In this lightboard video, Whitney Lee with IBM Cloud explains how Apache Kafka, an open-source distributed streaming platform, enables developers to make applications that utilize event streams to make high-performance applications. Get started on IBM Cloud at no cost: 🤍 Subscribe to see more videos like this in the future → 🤍 #Kafka #EventStreams #IBMCloud
Welcome to our in-depth tutorial on building a real-time messaging system using Spring Boot, Kafka, and a REST client. In this video, we'll guide you through a comprehensive example of how to create a Spring Boot Kafka Producer and Consumer application, and seamlessly integrate them with a RESTful client. This powerful combination enables you to achieve efficient communication and data exchange within your applications. Key Topics Covered: 1. Introduction to Spring Boot, Kafka, and REST: - We'll start with a brief overview of Spring Boot, Apache Kafka, and RESTful web services, explaining their importance in modern application development. 2. Setting Up the Development Environment: - Step one is configuring your development environment. We'll ensure you have all the tools and dependencies needed to build the application. 3. Building a Kafka Producer with Spring Boot: - Learn how to create a Spring Boot application that acts as a Kafka Producer. You'll understand how to send messages to a Kafka topic. 4. Developing a Kafka Consumer with Spring Boot: - We'll guide you through the process of building a Spring Boot application that functions as a Kafka Consumer. This application will receive and process messages from the Kafka topic. 5. REST Client Integration: - Explore how to integrate a REST client into your Spring Boot application. You'll learn how to send and receive data via RESTful web services. 6. Code Walkthrough and Message Flow: - Gain a deep understanding of the code and configurations required for seamless communication between the Kafka Producer, Kafka Consumer, and the REST client. 7. Testing and Validation: - We'll demonstrate how to test and validate your setup to ensure smooth message exchange between components. 8. Real-World Use Cases and Best Practices: - Discover real-world use cases for this integration and best practices for building efficient, scalable, and reliable messaging systems. By the end of this tutorial, you'll be well-equipped to create a complete messaging solution using Spring Boot, Kafka, and REST. Whether you're an experienced developer or new to these technologies, this video will provide you with the knowledge and practical examples needed to enhance your application's capabilities. If you found this video helpful, please consider giving it a thumbs up, subscribing to our channel for more tech tutorials, and hitting the notification bell to stay updated on our latest content. Have questions or need further assistance? Feel free to leave a comment below, and we'll do our best to help you out. Thank you for joining us on this journey of building Spring Boot Kafka Producer and Consumer applications with REST client integration! Spring Boot Kafka Producer & Consumer Example with REST Client | Spring Boot with Spring Kafka Producer Example | Apache Kafka Publisher Example using SpringBoot | Spring Boot with Spring Kafka Consumer Example | Apache Kafka Consumer Example using SpringBoot | Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners Click the below link to download the Java Source code and PPT: 🤍 Click the below GitHub link to download the Java Source code and PPT: 🤍 Click the below Bitbucket link to download the Java Source code and PPT: 🤍 You can find each topic playlist here - 🤍 #SpringBoot #KafkaProducer #KafkaConsumer #RESTClient #RealTimeMessaging #MessagingExample #SpringBootTutorial #KafkaIntegration #EventDriven #DataExchange
Configure Kafka endpoint using Apache Camel 🤍
Github link: 🤍 In summary, a dead letter queue is a message queue used to store messages that could not be delivered to their intended recipient due to various reasons, such as invalid format or system outage. The messages can be reprocessed or analysed to identify and fix the root cause of the failure. Stateful retries refer to a mechanism for retrying failed operations in a way that takes into account the state of the previous attempts. In other words, stateful retries keep track of previous attempts and use this information to make more informed decisions about how to retry the operation. #kafka #springcloud #deadletterqueue #springboot #springcloudstream
Nesse vídeo aprendemos como utilizar o kafka com spring boot e como as anotações facilitam a produção e consumo de mensagens do topico do kafka. Com o spring boot temos acesso as anotações KafkaTemplate onde criamos uma configuração para mostrar ao spring como será feita o envio das mensagens e qual serializador da chave e da mensagem usaremos. Configuramos também o KafkaListener para utilizar para consumir as mensagens e também passamos as propriedades para definir como será feita a desserialização da chave e do valor do kafka. Meu instagram: 🤍
Kafka, Avro Schema Registry setup with docker. Auto Generated Avro schema .avsc to .java using maven plugin Confluent Control Center GUI for monitoring topic data Kafka Producer - Avro Serialization Kafka Consumer - Avro Deserialization
In this Tutorial, we will run apache kafka without Zookeeper and will understand how internally it manage the brokers metadada #JavaTechie #Kafka Spring boot microservice Premium course lunched with 70% off 🚀 🚀 Hurry-up & Register today itself! COURSE LINK : 🤍 PROMO CODE : JAVATECHIE50 GitHub: 🤍 Blogs: 🤍 Facebook: 🤍 guys if you like this video please do subscribe now and press the bell icon to not miss any update from Java Techie Disclaimer/Policy: Note : All uploaded content in this channel is mine and its not copied from any community , you are free to use source code from above mentioned GitHub account
In this video, Apache Kafka installation and integration with spring boot is demonstrated practically Apache Kafka download: 🤍 Apache Kafka scripts: .\bin\windows\zookeeper-server-start.bat .\config\zookeeper.properties .\bin\windows\kafka-server-start.bat .\config\server.properties .\bin\windows\kafka-topics.bat create bootstrap-server localhost:9092 replication-factor 1 partitions 1 topic myfirsttopic .\bin\windows\kafka-console-consumer.bat bootstrap-server localhost:9092 topic myfirsttopic from-beginning .\bin\windows\kafka-console-producer.bat broker-list localhost:9092 topic myfirsttopic
In this video we will learn how to create kafka producer and kafka consumer in springboot. docker-compose file used to create kafka, zookeeper and kafdrop containers : 🤍 #tags kafka docker, Kafka producer, Kafka consumer, Kafka springboot, kafka tutorial for beginners, kafka docker compose, kafka docker compose setup, kafka docker setup, kafka docker example, kafka docker run, kafka docker configuration, kafka docker image with zookeeper, kafka zookeeper docker, kafka cluster hands on, kafka cluster setup, kafka cluster docker, kafka docker file, kafka docker installation, kafdrop docker, kafdrop docker compose, kafdrop setup, kafdrop tool, kafka zookeeper, kafka zookeeper docker, kafka zookeeper docker configuration, kafka zookeeper installation, kafka zookeeper tutorial, kafka zookeeper setup
Welcome to our comprehensive tutorial on building an Apache Kafka Publisher and Consumer using Spring Boot. In this video, we'll explore the powerful capabilities of Spring Boot in conjunction with Apache Kafka to create a robust message publishing and consumption system. Key Topics Covered: 1. Introduction to Apache Kafka: - Get a clear understanding of Apache Kafka's role in modern event-driven architecture. 2. Setting Up Your Environment: - We'll guide you through the initial setup, including the installation of Spring Boot, Apache Kafka, and project configuration. 3. Creating a Kafka Producer with Spring Boot: - Step-by-step, we'll demonstrate how to build a Kafka producer application using Spring Boot, including code examples and explanations. 4. Publishing Messages to Kafka: - Learn how to send messages and data to Kafka topics using Spring Boot's Kafka producer. 5. Building a Kafka Consumer with Spring Boot: - We'll create a Kafka consumer application, enabling you to consume and process messages from Kafka topics. 6. Consuming Messages from Kafka: - Explore the process of consuming and processing messages from Kafka topics using Spring Boot's Kafka consumer. 7. Error Handling and Best Practices: - Discover best practices and error-handling strategies to ensure the reliability of your Kafka publisher and consumer. 8. Testing and Real-World Scenarios: - We'll demonstrate how to test your Kafka publisher and consumer and discuss real-world scenarios where Kafka excels. By the end of this tutorial, you'll have a deep understanding of creating a message-driven architecture with Apache Kafka using Spring Boot. You'll be equipped with the knowledge and practical examples to build robust systems that can publish and consume messages with ease. Whether you're a seasoned developer or just starting with Spring Boot and Kafka, this tutorial will provide valuable insights to help you integrate Kafka into your applications effectively. If you found this video helpful, please consider giving it a thumbs up, subscribing to our channel for more tech tutorials, and hitting the notification bell to stay updated on our latest content. If you have questions or need further assistance, don't hesitate to leave a comment below, and we'll do our best to help you out. Thanks for watching, and let's dive into building your Apache Kafka publisher and consumer using Spring Boot! Spring Boot with Spring Kafka Producer Example | Apache Kafka Publisher Example using SpringBoot | Spring Boot with Spring Kafka Consumer Example | Apache Kafka Consumer Example using SpringBoot | Apache Kafka Tutorial | What is Apache Kafka? | Kafka Tutorial for Beginners Click the below link to download the Java Source code and PPT: 🤍 Click the below GitHub link to download the Java Source code and PPT: 🤍 Click the below Bitbucket link to download the Java Source code and PPT: 🤍 You can find each topic playlist here - 🤍 #ApacheKafka #KafkaPublisher #KafkaConsumer #SpringBoot #SpringBootKafka #MessageBroker #EventDrivenArchitecture #DataStreaming #ProgrammingTutorial #KafkaIntegration 00:00:00 Spring Boot with Spring Kafka Producer Example | Apache Kafka Publisher Example using SpringBoot 00:07:31 Spring Boot with Spring Kafka Consumer Example | Apache Kafka Consumer Example using SpringBoot 00:14:10 Kafka Producer and Consumer Spring Boot Applications in Action
Learn about Event-driven Architectures How Apache Kafka works: 🤍 and 🤍 Apache Kafka Installation: 🤍 Project code: 🤍 Connect with me: 🤍 CONTENT 0:00 - Event-driven Architectures 6:59 - Apache Kafka 12:00 - What we will build 14:40 - Create the Topics in Kafka 18:45 - About the Project code 23:03 - Implementing Pub/Sub model 31:05 - Implementing Event streaming
Video covers: #1 Publishing to the Kafka topic(s) using Spring KafkaTemplate and REST endpoint using spring boot. #2 Listening to the topic(s) using Spring Kafka Listener and Record filter strategy to consume selected messages from a Kafka topic. Find the link to the git repo: 🤍 If you like the content, do like and subscribe, and do share the feedback. #apache #kafka #latest #consumer #springkafka #java #filter #strategy #springboot #softwaredesign #softwaredevelopment #eventdrivenarchitecture #decoupled #microservices #QuickLearningHub
Don’t forget to subscribe to get more content about Apache Kafka and Conduktor! Conduktor is an all-in-one friendly interface to work with the Kafka ecosystem, used by more than 40,000 developers in 5,000 companies worldwide! We're a team of Kafka lovers that decided to create a GUI to perform all your Kafka development & operations from one tool! It is native for Windows, Mac & Linux, works on any Apache Kafka cluster, and has dozens of awesome features to simplify your journey to modern #Apache Kafka applications. Download Conduktor and start developing and managing Apache Kafka with confidence here: 🤍 Learn Apache Kafka like never before with Conduktor Kafkademy - 🤍 You can follow #Conduktor on social media & share your awesome stories with us: Twitter - 🤍 LinkedIn - 🤍
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