Hands– On Introduction to Message Streaming with Apache Kafka

Hands-on guide to Apache Kafka with topics, partitions, producers, consumers and consumer groups

What you'll learn

⚡ Understand what Apache Kafka is and when to use it
⚡ Set up and run a modern, KRaft-based Kafka broker locally using Docker
⚡ Create and configure Kafka topics and partitions
⚡ Build producers to send messages to Kafka topics
⚡ Build consumers to process messages from Kafka topics
⚡ Understand consumer groups and how to scale message processing
⚡ Work with message keys and understand ordering guarantees

Requirements

❗ Basic jаvascript or TypeScript knowledge and familiarity with Docker are helpful
❗ No previous Apache Kafka experience is required

Description

This hands-on course provides a practical introduction to Apache Kafka, one of the most widely used distributed event streaming platforms for building real-time data pipelines and event-driven applications.
If you've ever wanted to understand how modern systems process streams of events, communicate asynchronously at scale, or move large amounts of data between applications in real time, this course is for you.
We focus on learning by doing. There are no theory-heavy slides or unnecessary complexity. Instead, you'll work directly with a real Kafka cluster and build practical message streaming examples from the very beginning.
We'll start by understanding what Apache Kafka is, how it differs from traditional message queues, and when event streaming makes sense for modern applications.
Then we'll move straight into practice.
We'll set up a modern KRaft-based Kafka broker locally using Docker and explore the fundamental building blocks of Kafka, including brokers, topics, partitions, producers, consumers, and consumer groups.
Throughout the course, you'll learn how to work with
✨ Apache Kafka
✨ Kafka brokers and clusters
✨ Topics and partitions
✨ Producers and consumers
✨ Consumer groups
✨ Message keys and ordering
✨ Partitioning strategies
✨ Offset management
✨ Message replication and fault tolerance
✨ Consumer lag
✨ Kafka command-line tools
✨ Node.js and TypeScript Kafka clients
✨ Monitoring and troubleshooting
You'll first produce and consume messages using Kafka's command-line tools before moving into real application code with Node.js and TypeScript.
We'll build producers that publish events to Kafka topics and consumers that process those events in real time. You'll see how partitions allow Kafka workloads to scale and how consumer groups distribute work between multiple application instances.
You'll also explore message keys and ordering guarantees, understand how Kafka tracks consumer progress using offsets, and learn how consumer lag can help you identify applications that are struggling to keep up with incoming events.
Although the application examples use Node.js and TypeScript, Kafka itself is language agnostic, and the concepts covered throughout the course transfer directly to Java, Python, Go, .NET, and other Kafka client libraries.
Everything is explained through practical examples designed to help you understand not only how to use Kafka, but also how its core concepts work together when building scalable event-driven systems.
By the end of this course, you'll be able to confidently create Kafka topics, produce and consume events, work with partitions and consumer groups, manage offsets, and understand how to design Kafka-based solutions for real-world applications.
This course is a great fit if you are
✨ A developer building event-driven applications
✨ A backend engineer working with distributed systems and microservices
✨ A DevOps or cloud engineer working with messaging infrastructure
✨ A software engineer exploring real-time data processing
✨ Anyone interested in learning Apache Kafka from the ground up
Basic jаvascript or TypeScript knowledge and familiarity with Docker are helpful, but no previous Apache Kafka experience is required.
If you want a clear, beginner-friendly, and hands-on introduction to message streaming with Apache Kafka, this course is for you.

Who this course is for

⭐ Developers wanting to learn Apache Kafka and real-time data streaming
⭐ Backend engineers building event-driven architectures
⭐ DevOps professionals managing distributed systems
⭐ Anyone curious about how companies handle millions of messages per second

Homepage

https://www.udemy.com/course/hands-on-introduction-to-message-streaming-with-apache-kafka

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