The Complete Apache Kafka Practical Guide
What you’ll 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
Requirements
You could have completely no prior knowledge about Apache Kafka
Prepare only your Mac, Windows or Linux/Unix computer. Anything will work.
Also you could know nothing about Java, Node or Python. I will explain all of these from beginning
We will start from the very beginning by installing Apache Kafka and exploring it’s components
Description
This course is all about Apache KafkaUnderstand 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 guide here 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:Create cluster with multiple brokersCreate topic with multiple partitions spread across different brokersCreate topics with replication factor that allows you to store copy of every message on different brokers for redundancyProduce messages using built-in Console ProducerConsume messages using built-in Console ConsumerLaunch multiple consumers in the same consumer groupLaunch Performance Monitor for testing Consumers and Producers performance and speedYou will also learn and practice how to use Apache Kafka API to create your own Consumers and ProducersCreate Java Maven projectLaunch Producer and Consumer using JavaLaunch multiple consumers in the same Consumer GroupUnderstand and practice difference between “subscribe” and “assign”Create Node.js projectLaunch Producers and Consumers using Node.jsCreate Python projectLaunch Producers and Consumers using PythonDuring 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 GitHubVisualStudio CodeWith 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!
Overview
Section 1: Introduction
Lecture 1 Let’s get connected! Join the Learning Community
Section 2: Apache Kafka Installation Overview
Lecture 2 Apache Kafka Installation Overview
Lecture 3 Installing Apache Kafka on the Mac and Unix-like systems
Lecture 4 Installing Apache Kafka on the Mac
Lecture 5 Installing Ubuntu on MacOS using VirtualBox
Section 3: Installing Apache Kafka on the remote Ubuntu server
Lecture 6 SECTION 2 Introduction
Lecture 7 Creating remote Ubuntu Virtual Private Server
Lecture 8 Installing Apache Kafka on Virtual Private Server
Section 4: Installing Apache Kafka on Windows
Lecture 9 SECTION 3 Introduction
Lecture 10 Installing Apache Kafka on Windows
Lecture 11 Starting Zookeeper and Kafka server on Windows
Lecture 12 Installing Ubuntu on Windows using VirtualBox
Lecture 13 Installing Apache Kafka on Ubuntu using GUI
Section 5: Starting Apache Zookeeper and Kafka Broker
Lecture 14 SECTION 4 Introduction
Lecture 15 Observing contents of the Kafka folder
Lecture 16 Reading and editing Kafka files using VisualStudio Code
Lecture 17 Trying to start Kafka Server
Lecture 18 Observing Kafka Server logs
Lecture 19 Starting Zookeeper
Lecture 20 Starting Kafka Server while Zookeeper is up and running
Lecture 21 Observing logs folder and current kafka server setup
Section 6: Creating and exploring Kafka Topic
Lecture 22 SECTION 5 Introduction
Lecture 23 How to connect to Kafka cluster
Lecture 24 Create new Kafka topic
Lecture 25 What happened after creation of the new topic
Lecture 26 Read details about topic
Section 7: Producing and consuming Messages
Lecture 27 SECTION 6 Introduction
Lecture 28 Send some messages using Kafka Console Producer
Lecture 29 Consuming messages using Kafka Console Consumer
Lecture 30 Consuming messages from the beginning
Lecture 31 Running multiple consumers
Lecture 32 Running multiple producers
Lecture 33 What was changed in the Kafka logs
Section 8: What is Apache Kafka and how it works
Lecture 34 SECTION 7 Introduction
Lecture 35 What is Apache Kafka
Lecture 36 Broker
Lecture 37 Broker cluster
Lecture 38 Zookeeper
Lecture 39 Zookeeper ensemble
Lecture 40 Multiple Kafka clusters
Lecture 41 Default ports of Zookeeper and Broker
Lecture 42 Kafka Topic
Lecture 43 Message structure
Lecture 44 Topics and Partitions
Lecture 45 Spreading messages across partitions
Lecture 46 Partition Leader and Followers
Lecture 47 Controller and it’s responsibilities
Lecture 48 How Producers write messages to the topic
Lecture 49 How Consumers read messages from the topic
Section 9: GitHub Repository and Diagrams for the course
Lecture 50 SECTION 8 Introduction
Lecture 51 GitHub repository and list of basic Kafka commands
Lecture 52 Diagrams for the course
Section 10: EXAMPLE 1 – Topic with Multiple Partitions
Lecture 53 SECTION 9 Introduction
Lecture 54 If you use remote Kafka brokers
Lecture 55 Cleaning up existing kafka installation
Lecture 56 Creating topic with multiple partitions
Lecture 57 How messages were spread across different partitions
Lecture 58 Reading messages from specific partition
Lecture 59 Reading messages from specific offset in specific partition
Lecture 60 Reading details about topic and __consumer_offsets topic
Lecture 61 Summary for multiple partitions example
Section 11: EXAMPLE 2 – Kafka Cluster with Multiple Brokers
Lecture 62 SECTION 10 Introduction
Lecture 63 Example overview – run multiple brokers
Lecture 64 Creating separate configuration files for brokers
Lecture 65 Launching three brokers
Lecture 66 Getting cluster information and broker details from Zookeeper
Lecture 67 Creating multiple-partition topic in the Kafka cluster
Lecture 68 Looking at logs folders of every broker
Lecture 69 Producing and consuming messages in the cluster
Lecture 70 Details about topic in the cluster
Lecture 71 Simulating broker failure in the cluster
Lecture 72 Summary for broker cluster and topic without replication
Section 12: EXAMPLE 3 – Multiple Brokers and Topic with Replication
Lecture 73 SECTION 11 Introduction
Lecture 74 Preparing for the next example with replication
Lecture 75 Launching brokers and creating topic with replication
Lecture 76 Observing logs folder and details of the topic
Lecture 77 Producing and consuming messages in the topic with replication
Lecture 78 Observing how messages were stored in the partitions on different brokers
Lecture 79 Bringing down one of three brokers and observing changes
Lecture 80 Bringing down another broker in the cluster
Lecture 81 Bringing back both brokers
Lecture 82 Summary for replication
Section 13: EXAMPLE 4 – Kafka Consumer Groups
Lecture 83 SECTION 12 Introduction
Lecture 84 Example with consumer groups overview
Lecture 85 Exploring default consumer groups
Lecture 86 Starting consumer in the custom consumer group
Lecture 87 Starting second consumer in the same consumer group
Lecture 88 Launching one more consumer in the same group
Lecture 89 Idle consumers in the group
Lecture 90 Summary for consumer groups
Section 14: EXAMPLE 5 – Performance Testing
Lecture 91 SECTION 13 Introduction
Lecture 92 Overview of the performance testing example
Lecture 93 Starting cluster and launching basic performance test
Lecture 94 Increasing performance test parameters
Lecture 95 Testing consumer performance
Lecture 96 Getting non-zero LAG values for consumers
Lecture 97 Performance test example summary
Section 15: PROJECT 1 – Java
Lecture 98 SECTION 14 Introduction
Lecture 99 If you use remote Kafka brokers
Lecture 100 Project Files for the Java section
Lecture 101 Installing IntelliJ editor
Lecture 102 Creating and configuring Maven project
Lecture 103 Starting Kafka Cluster
Lecture 104 Creating Java Producer
Lecture 105 Continue Creating Java Producer
Lecture 106 Launching Java Producer
Lecture 107 Explaining most common Producer parameters
Lecture 108 Modifying Serializer type
Lecture 109 Producing meaningful messages with delay
Lecture 110 Refactoring Producer by adding previous example
Lecture 111 Creating consumer with autocommitting – PART 1
Lecture 112 Creating consumer with autocommitting – PART 2
Lecture 113 Consumer parameters overview
Lecture 114 Consumer with Manual Committing
Lecture 115 Consumer with Partitions Assignment
Lecture 116 Launching multipile consumers in the same consumer group
Lecture 117 CHALLENGE – Subscribe vs Assign with consumer groups
Section 16: PROJECT 2 – Node.js
Lecture 118 SECTION 15 Introduction
Lecture 119 If you use remote Kafka brokers
Lecture 120 Installing Node.js with NPM
Lecture 121 Starting up Kafka cluster with 3 brokers
Lecture 122 Initializing Node.js project
Lecture 123 Final Node.js project files
Lecture 124 Creating basic Node.js producer
Lecture 125 Producing random animal names
Lecture 126 Creating Node.js consumer
Section 17: PROJECT 3 – Python
Lecture 127 SECTION 16 Introduction
Lecture 128 If you use remote Kafka brokers
Lecture 129 Installing Python
Lecture 130 Final Python project files
Lecture 131 Launching basic Python producer
Lecture 132 Launching consumer and receiving messages
Lecture 133 Generating fake names in the messages by producer
Section 18: Course Summary
Lecture 134 Course Summary
Lecture 135 Bonus Lecture
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 it’s APIs
Course Information:
Udemy | English | 8h 39m | 5.53 GB
Created by: Bogdan Stashchuk | Software Engineer, MBA, PhD
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