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Kafka Streams using Spring Cloud | Learn Apache Kafka for Spring Boot Developers

Kafka Streams using Spring Cloud Streams | Who should learn take course | Course Prerequisite

Installing and Running Spring Kafka | Spring Kafka Development Environment

Kafka Spring Boot Starter Project | Initializing Spring Kafka Project | Kafka Project in Gradle

Installing Confluent Kafka on Windows | Setup Kafka cluster in WSL2 | Windows sub system for Linux

Kafka Streams Project | Creating and Running Kafka Streams using Spring Cloud on windows machine

Installing Kafka on Mac | Confluent Kafka on Mac | Setup your Kafka Development Environment on Mac

Creating Kafka Streams project on Mac | Kafka Streams using Spring Cloud Streams on Mac machine

Kafka Support in Spring | Spring Boot Vs Spring Cloud Vs Spring Cloud Stream Vs Spring Kafka Streams

Spring Cloud Architecture | Introduction to Spring Cloud Streams for real-time stream processing

How Kafka Streams work in Spring Cloud | What is Kafka Streams | Kafka Streams Vs Spring Cloud

Simple RESTful Kafka Producer

Creating Retail POS Simulator

Producing JSON Messages

Producing AVRO Messages

Real time Stream Processing Requirement

Implementing POS Fanout JSON to Avro

Real life Serialization Scenarios

Processing AVRO message Stream

Understanding Record Serialization

Overview of KStream Methods

Kafka Streams Exactly Once Implementation

Implementing Exactly Once

Let's Practice - A Complex Problem Statement

Working with XML Inputs

Handling Errors and Exceptions

Mixed Branching of a KStream

Handling Poison Pills

Introducing KTable

Deep Dive into KTable

Computing Streaming Aggregates

Aggregation Concepts

Reducing A Kafka Stream

Aggregating a Kafka Stream

Aggregation Challenges

KTable Aggregation

Kafka Time Semantics

Windowing Aggregates

Tumbling Window Vs Hopping Time Window

Session Window and Grace Period

Joins in Kafka Stream

KStream to KStream Joins

KTable to KTable Join

KStream to KTable Join

Implementing Complex Aggregation

Super Simple Stream Listener

Unit Testing Stream Listeners

Converting Stream Listener to Functional Style

Epilog

Description:

Explore Apache Kafka Streams using Spring Cloud in this comprehensive 7-hour course. Dive into stream processing with Spring Boot, learning to set up development environments on Windows and Mac. Master Kafka project initialization, create RESTful producers, and implement real-time stream processing for retail POS systems. Understand JSON and AVRO message handling, explore KStream methods, and implement exactly-once processing. Tackle complex problem statements, handle errors and exceptions, and work with XML inputs. Delve into KTable operations, compute streaming aggregates, and explore Kafka time semantics. Learn about windowing aggregates, various join types, and implement complex aggregations. Gain hands-on experience with stream listeners, unit testing, and functional programming styles. Suitable for Spring Boot developers looking to enhance their Kafka skills.

Kafka Streams with Spring Cloud

Learning Journal

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#Programming #Cloud Computing #Microservices #Apache Kafka #Programming Languages #Java #Spring Framework #Javascript #JSON #Spring Cloud #Kafka Streams #Data Science #Big Data #Stream Processing #Real-time Stream Processing