Kafka Streams is a Java library designed to develop applications and microservices tailored for real-time data stream processing. Harnessing Kafka’s capabilities, applications constructed using Kafka Streams exhibit exceptional scalability and fault tolerance. This versatile tool finds applications in various scenarios and domains.
The course starts with an introduction to Kafka Streams. Next, you will learn important Kafka concepts and gain experience using Kafka CLI tools. Then, you will learn how to build complex Kafka Streams topologies using stateless operators, error handling, and stateful operations. Finally, you will learn how to integrate Kafka Streams in Spring Boot applications, including using Spring’s monitoring and metrics capabilities.
After completing this course, you can build data-intensive real-time stream processing applications and microservices using Kafka Streams, enabling you to build powerful, resilient, and scalable products.
Kafka Streams is a Java library designed to develop applications and microservices tailored for real-time data stream processing...Show More
WHAT YOU'LL LEARN
An understanding of Apache Kafka concepts and CLI tools application
Hands-on experience building stateless and stateful topologies using Kafka Streams
Working knowledge of error handling in Kafka Streams applications
Familiarity with building Kafka Streams applications using Spring Boot
An understanding of Apache Kafka concepts and CLI tools application
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Content
1.
Kafka Streams Overview
5 Lessons
Get familiar with real-time data processing, Kafka Streams architecture, and practical applications.
2.
Building Our Kafka Tool Belt
10 Lessons
Discover the logic behind essential Kafka tools, scripts, message handling, and partitioning.
First Steps with Kafka ScriptsConsuming and Producing MessagesConsuming and Producing Messages with KeysKafka Topic as a LogKafka Topic PartitionsKafka Topic Partitions in PracticeConsumer GroupsThe kafka-consumer-groups CommandWhat’s in Our Kafka Tool Belt: A SummaryQuiz: Kafka Concepts and Commands
3.
Stateless Processing
10 Lessons
Work your way through stateless processing in Kafka Streams with setup, operations, and testing.
4.
Error Handling
4 Lessons
Break down the steps to manage error handling in Kafka Streams applications effectively.
5.
Stateful Processing
7 Lessons
Dig into stateful processing, operations, windowing, and interactive queries in Kafka Streams.
6.
Kafka Streams with Spring Boot
8 Lessons
Investigate integrating Kafka Streams with Spring Boot, including setup, topology, monitoring, and visualization.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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