Event driven Microservices using Spring Boot Apache Kafka

This course will give you in depth hands on practical experience of using Kafka within the microservices world for enabling asynchronous communication.
I would suggest this course who is aspiring to learn all concepts related to Kafka and become expert in creating microservices using spring boot with Apache Kafka. 
Kafka is a powerful, distributed event streaming platform that can handle real-time data with high throughput, fault tolerance, and scalability. It’s widely used in various industries for building data pipelines, stream processing applications, and event-driven architectures. Kafka's architecture, message retention, and ability to scale horizontally make it suitable for a variety of use cases, from log aggregation to microservices communication.
Apache Kafka for Spring Boot Microservices Developers course is divided in below 3 main sections -
Section 1 (Theory) - This section covers theory concepts related to Kafka. This will give kick start to your Kafka journey
Section 2 (Practical) - In this section, we have implemented all the concepts learned in practical way. We have created a Spring boot application to implement all these concepts practically.
Section 3 (Practical) - We will implement Kafka within our microservices architecture which was developed in the Spring boot Microservices |Practical |Hands on coding - Part1 course.
Theory

• Kafka architecture overview (High level)
• Kafka key terminologies & use cases
• Kafka Topics, Partitions and Offsets
• Kafka Cluster and brokers
• Topic Replication
• Zookeeper
• Producers
• Consumers & consumer groups

Practical

• Setup Kafka broker locally
• Kafka topic creation and send messages
• Spring boot project setup
• Topic configuration
• Producer Configuration
• Kafka send messages
• Consumer to consume messages published
• Consumer Configuration
• Kafka listeners
• Kafka Rest Controller
• Kafka Sending Custom Objects
• Kafka documentation

Implementation of Kafka in microservice architecture

• Kafka implementation in microservice architecture
• Create Zookeeper and Kafka docker containers
• Producer configuration for customer service
• Send notifications on to the topic
• Consumer configuration for notification service
• Consume notifications from topic
• Running all micro services
• Kafka in action