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Beginners Guide to Apache Kafka with SpringBoot

Name: Beginners Guide to Apache Kafka with SpringBoot
Rating: 4.2 (105 reviews)

Learn all about Apache Kafka and implement it with SpringBoot for any of your use case

Created byObify Consulting

Last updated 5/2023

English

What you'll learn

You will learn about Apache Kafka and its history
You will learn about the Architecture and different components of Apache Kafka
You will learn why Kafka is distributed and how its different from traditional message brokers
You will learn to install Kafka in your local computer
You will learn to create SpringBoot project from scratch
You will learn to implement SpringBoot and Apache Kafka for Producer Consumer scenario

Course content

5 sections • 25 lectures • 1h 20m total length

Course Overview0:56
Know Your Instructor & Get Help/Support0:13
What is Apache Kafka and Why we need it1:59
Explore how Apache Kafka acts as a next generation distributed messaging system and streaming data platform. See how it solves the producers consumers problem and enables high volume data flows.
Introduction about Apache Kafka4:40
Explore how Apache Kafka delivers fast, scalable real-time data with a distributed publish-subscribe model, using producers, consumers, partitioned replicated logs, and disk persistence for multi-subscriber workflows.

Kafka vs RabbitMQ1:58
Compare Kafka and RabbitMQ, showing Kafka's real-time streaming with replayable history and consumer replay, versus queue-based routing with publish-subscribe and message guarantees.
Terminology in Apache Kafka4:51
Understand how a stream of messages becomes a topic and how producers publish payload bytes to topics. Watch brokers store messages in a cluster as consumers subscribe to topics.
Deep dive into Brokers7:12
Deep dive into Zookeeper and Partitions4:59
ZooKeeper coordinates Kafka brokers, signaling broker health and notifying producers and consumers about new or failed brokers. A topic is divided into partitions spread across brokers to balance load.
Apache Kafka Storage3:51

Downloading Kafka0:46
Install kafka on your computer by navigating to the kafka download page, clicking download, and starting the download before continuing to the next video.
Extraction of tgz and file walkthrough1:45
Setting data Dir for zookeeper1:49
Setting up path for Kafka logs directory1:21
Starting Zookeeper and Kafka Server4:02
Creating a topic and listing all topics4:17
Creating Producer, Consumer and exchanging messages between them in real time3:53

Local Development Setup3:34
Creating Producer and Consumer Applications from spring initializer2:32
Create producer and consumer Spring Boot apps from Spring Initializr, include web and Spring for Apache Kafka, and publish or listen to messages on a Kafka cluster.
Setting configuration for producer4:19
Configure a Spring Boot Kafka producer by setting application properties for the bootstrap server and the topic name, then create the producer class and prepare for implementation.
Creating Producer and RestController6:08
Configuration for our consumer2:25
Configure the consumer by copying producer settings into the consumer properties, add a consumer group id, and point to the same Kafka cluster and topic.
Registering a consumer and texting end to end9:30
Publishing Json data into Topic and Consuming it3:09
Publish json data to a Kafka topic using a Spring Boot publisher endpoint, then consume the messages with a consumer, demonstrating Postman requests and end-to-end messaging.

Requirements

Basics of Java

Description

This course will teach everything about Apache Kafka.

How Apache Kafka differs from traditional/regular message broker services like Apache Active MQ or RabbitMQ.

We will also learn about different scenarios in which you can use Apache Kafka and achieve your functionality.

We will implement Apache Kafka with SpringBoot and implement a scenario where we will work with both producer and consumer.

In Apache Kafka, we will go through different topics like:

1. What is Apache Kafka

2. Why do we need Apache Kafka

3. History of Apache Kafka

4. Advantages of Apache Kafka

5. How Apache Kafka differs from traditional messaging brokers like Activ MQ or RabbitMQ

6. We will also compare Kafka with RabbitMQ message broker

7. We will try to understand why Apache Kafka is called a distributed system

8. We will then look at the detailed architecture of Apache Kafka

9. We will look into different components of the Apache Kafka system and try to understand what they do.

10. We will see what is an Apache Kafka Cluster and its importance

11. We will learn about Brokers and their importance in Apache Kafka architecture

12. What is a message and how messages are published and subscribed in distributed mode.

13. What are Partitions and logs and their importance

14. What is the Kafka Storage strategy

15. What is Zookeeper and how its important in Apache Kafka architecture

16. We will then do the local development environment setup

17. After that we will then create a new SpringBoot project from Spring Initializer

18. Then we will go ahead and add the needed maven dependencies and start our development

19. We will implement the producer and consumer scenarios

20. Finally you will get the complete source code of the course.

Who this course is for:

Anyone who wants to implement any distributed streaming/real-time data processing use case with Apache Kafka and Springboot

Beginners Guide to Apache Kafka with SpringBoot

What you'll learn

Explore related topics

Course content

Introduction to Apache Kafka4 lectures • 8min

Kafka Architecture and Terminology5 lectures • 23min

Apache Kafka Setup & Installation7 lectures • 18min

Implementing Springboot Producer & Consumer7 lectures • 32min

Source code2 lectures0

Requirements

Description

Who this course is for: