The Complete Apache Kafka Practical Guide

The Complete Apache Kafka Practical Guide, available at $79.99, has an average rating of 4.46, with 135 lectures, based on 1105 reviews, and has 19746 subscribers.

You will learn about Understand how Apache Kafka works Create fault-tolerant clusters with topics replication across multiple brokers Apache Kafka Architecture How to create Kafka cluster with multiple Brokers Practice to create producers and consumers using built-in console producer and console consumer Write custom producer and consumer in Java Use Python and Node to produce and consume messages Learn components of the Apache Kafka Cluster This course is ideal for individuals who are Beginners who want to learn Apache Kafka or Advanced Apache Kafka users who want to learn how to build producers and consumers in other languages like Node or Python or This course is for you if you want to PRACTICE using Kafka and its APIs It is particularly useful for Beginners who want to learn Apache Kafka or Advanced Apache Kafka users who want to learn how to build producers and consumers in other languages like Node or Python or This course is for you if you want to PRACTICE using Kafka and its APIs.

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Summary

Title: The Complete Apache Kafka Practical Guide

Price: $79.99

Average Rating: 4.46

Number of Lectures: 135

Number of Published Lectures: 135

Number of Curriculum Items: 135

Number of Published Curriculum Objects: 135

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Understand how Apache Kafka works

Create fault-tolerant clusters with topics replication across multiple brokers

Apache Kafka Architecture

How to create Kafka cluster with multiple Brokers

Practice to create producers and consumers using built-in console producer and console consumer

Write custom producer and consumer in Java

Use Python and Node to produce and consume messages

Learn components of the Apache Kafka Cluster

Who Should Attend

Beginners who want to learn Apache Kafka

Advanced Apache Kafka users who want to learn how to build producers and consumers in other languages like Node or Python

This course is for you if you want to PRACTICE using Kafka and its APIs

Target Audiences

Beginners who want to learn Apache Kafka

Advanced Apache Kafka users who want to learn how to build producers and consumers in other languages like Node or Python

This course is for you if you want to PRACTICE using Kafka and its APIs

This course is all about Apache Kafka

Understand HOW Apache Kafka works and learn its core features ON PRACTICE. This is 80% practice course without no useless demos!

Build custom Apache Kafka Producers and Consumers using native Java API. Also you will build projects using APIs for other programming languages like Node.js and Python.

Become a master of Apache Kafka by understanding and practicing its architecture and main features.

All project files and mostly used commands are available in the GitHub repository.

This is the most complete practical Apache Kafka guidehere on Udemy that includes tons of practical activities. Most important is that you will learn how Apache Kafka works and knowing it you will be able much more easier use its features and fix mistakes in the future after you’ll finish this course. You can have zero knowledge about Apache Kafka, Java, Node.js or Python. All will be taught from scratch, from basic to advanced features. If you want to get deep knowledge of Apache Kafka this course is for you!

We will start by installing Apache Kafka on your computer, VPS (Virtual Private Server) or Virtual Machine on your computer. You will learn that installation of Apache Kafka is pretty easy – you just need to download archive with executable scripts and run them. Also you will learn and practice how to run multiple brokers on the same computer.

Afterwards we will jump into tons of practice activities and use different Apache Kafka features and built-in scripts. You will launch Zookeeper, multiple Brokers, Console Consumer and Console Producer. Also you will test performance of the Kafka Cluster using built-in utility called Performance Monitor.

In practice sections you will perform multiple practice Apache activities:

1. Create cluster with multiple brokers

2. Create topic with multiple partitions spread across different brokers

3. Create topics with replication factor that allows you to store copy of every message on different brokers for redundancy

4. Produce messages using built-in Console Producer

5. Consume messages using built-in Console Consumer

6. Launch multiple consumers in the same consumer group

7. Launch Performance Monitor for testing Consumers and Producers performance and speed

You will also learn and practice how to use Apache Kafka API to create your own Consumers and Producers

1. Create Java Maven project

2. Launch Producer and Consumer using Java

3. Launch multiple consumers in the same Consumer Group

4. Understand and practice difference between “subscribe” and “assign”

5. Create Node.js project

6. Launch Producers and Consumers using Node.js

7. Create Python project

8. Launch Producers and Consumers using Python

During the course you will need to view and edit text files. For that you will NOT use terminal. Instead you will use GUI application VisualStudio Code. Also all configuration files and project files are available in the GitHub repository. This means that during this course you will also learn how to use :

Git and GitHub

VisualStudio Code

With this course you will get lifetime-long access to more than 100 lectures and tens of practical exercises. After the course you will become a guru of Apache Kafka and will be able easily create custom Apache Kafka Producers and Consumers.

But most important is that you will UNDERSTAND Apache Kafka.

You will also get 30-days money-back guarantee. No questions asked!

Don’t wait and join the course now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Lets get connected! Join the Learning Community

Chapter 2: Apache Kafka Installation Overview

Lecture 1: Apache Kafka Installation Overview

Lecture 2: Installing Apache Kafka on the Mac and Unix-like systems

Lecture 3: Installing Apache Kafka on the Mac

Lecture 4: Installing Ubuntu on MacOS using VirtualBox

Chapter 3: Installing Apache Kafka on the remote Ubuntu server

Lecture 1: SECTION 2 Introduction

Lecture 2: Creating remote Ubuntu Virtual Private Server

Lecture 3: Installing Apache Kafka on Virtual Private Server

Chapter 4: Installing Apache Kafka on Windows

Lecture 1: SECTION 3 Introduction

Lecture 2: Installing Apache Kafka on Windows

Lecture 3: Starting Zookeeper and Kafka server on Windows

Lecture 4: Installing Ubuntu on Windows using VirtualBox

Lecture 5: Installing Apache Kafka on Ubuntu using GUI

Chapter 5: Starting Apache Zookeeper and Kafka Broker

Lecture 1: SECTION 4 Introduction

Lecture 2: Observing contents of the Kafka folder

Lecture 3: Reading and editing Kafka files using VisualStudio Code

Lecture 4: Trying to start Kafka Server

Lecture 5: Observing Kafka Server logs

Lecture 6: Starting Zookeeper

Lecture 7: Starting Kafka Server while Zookeeper is up and running

Lecture 8: Observing logs folder and current kafka server setup

Chapter 6: Creating and exploring Kafka Topic

Lecture 1: SECTION 5 Introduction

Lecture 2: How to connect to Kafka cluster

Lecture 3: Create new Kafka topic

Lecture 4: What happened after creation of the new topic

Lecture 5: Read details about topic

Chapter 7: Producing and consuming Messages

Lecture 1: SECTION 6 Introduction

Lecture 2: Send some messages using Kafka Console Producer

Lecture 3: Consuming messages using Kafka Console Consumer

Lecture 4: Consuming messages from the beginning

Lecture 5: Running multiple consumers

Lecture 6: Running multiple producers

Lecture 7: What was changed in the Kafka logs

Chapter 8: What is Apache Kafka and how it works

Lecture 1: SECTION 7 Introduction

Lecture 2: What is Apache Kafka

Lecture 3: Broker

Lecture 4: Broker cluster

Lecture 5: Zookeeper

Lecture 6: Zookeeper ensemble

Lecture 7: Multiple Kafka clusters

Lecture 8: Default ports of Zookeeper and Broker

Lecture 9: Kafka Topic

Lecture 10: Message structure

Lecture 11: Topics and Partitions

Lecture 12: Spreading messages across partitions

Lecture 13: Partition Leader and Followers

Lecture 14: Controller and its responsibilities

Lecture 15: How Producers write messages to the topic

Lecture 16: How Consumers read messages from the topic

Chapter 9: GitHub Repository and Diagrams for the course

Lecture 1: SECTION 8 Introduction

Lecture 2: GitHub repository and list of basic Kafka commands

Lecture 3: Diagrams for the course

Chapter 10: EXAMPLE 1 – Topic with Multiple Partitions

Lecture 1: SECTION 9 Introduction

Lecture 2: If you use remote Kafka brokers

Lecture 3: Cleaning up existing kafka installation

Lecture 4: Creating topic with multiple partitions

Lecture 5: How messages were spread across different partitions

Lecture 6: Reading messages from specific partition

Lecture 7: Reading messages from specific offset in specific partition

Lecture 8: Reading details about topic and __consumer_offsets topic

Lecture 9: Summary for multiple partitions example

Chapter 11: EXAMPLE 2 – Kafka Cluster with Multiple Brokers

Lecture 1: SECTION 10 Introduction

Lecture 2: Example overview – run multiple brokers

Lecture 3: Creating separate configuration files for brokers

Lecture 4: Launching three brokers

Lecture 5: Getting cluster information and broker details from Zookeeper

Lecture 6: Creating multiple-partition topic in the Kafka cluster

Lecture 7: Looking at logs folders of every broker

Lecture 8: Producing and consuming messages in the cluster

Lecture 9: Details about topic in the cluster

Lecture 10: Simulating broker failure in the cluster

Lecture 11: Summary for broker cluster and topic without replication

Chapter 12: EXAMPLE 3 – Multiple Brokers and Topic with Replication

Lecture 1: SECTION 11 Introduction

Lecture 2: Preparing for the next example with replication

Lecture 3: Launching brokers and creating topic with replication

Lecture 4: Observing logs folder and details of the topic

Lecture 5: Producing and consuming messages in the topic with replication

Lecture 6: Observing how messages were stored in the partitions on different brokers

Lecture 7: Bringing down one of three brokers and observing changes

Lecture 8: Bringing down another broker in the cluster

Lecture 9: Bringing back both brokers

Lecture 10: Summary for replication

Chapter 13: EXAMPLE 4 – Kafka Consumer Groups

Lecture 1: SECTION 12 Introduction

Lecture 2: Example with consumer groups overview

Lecture 3: Exploring default consumer groups

Lecture 4: Starting consumer in the custom consumer group

Lecture 5: Starting second consumer in the same consumer group

Instructors

Bogdan Stashchuk | Software Engineer, MBA, PhD
Just keep learning – stashchuk

Rating Distribution

1 stars: 6 votes

2 stars: 18 votes

3 stars: 81 votes

4 stars: 357 votes

5 stars: 643 votes

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