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    Reactive Kafka From Scratch

    Posted By: ELK1nG
    Reactive Kafka From Scratch

    Reactive Kafka From Scratch
    Published 3/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.38 GB | Duration: 11h 39m

    Getting Started With Event Driven Microservices

    What you'll learn

    Learn Kafka From Scratch

    Spring Kafka - Event Driven Microservices

    Batch & Parallel Processing

    Kafka Transaction

    Writing Integration Tests

    Best Practices

    Requirements

    Java Reactive Programming

    Spring

    Comfortable with Indian Accent

    Description

    **  Reactive Spring Kafka - Getting Started With Event Driven Microservices **This course is particularly for any senior or staff level engineer who wants to learn Reactive Kafka From Scratch. By the end of the course, you will become very comfortable with Kafka.Here is what we will do in this course:KafkaSetting up Kafka - latest KRaft mode using custom docker image Bootstrap ServerVarious Kafka Topic commands and OptionsConsole ProducerConsole consumerVarious Kafka propertiesHow apps publish and consume messagesHow serialization and Deserialization works in KafkaHow Kafka Log Retention worksOffset and How to reset Offset to consume messages from specific timeMessage FormatHow to scale Applications using Kafka Consumer GroupMessage OrderingKafka With Reactive ProgrammingCreating a simple Java Kafka producer and consumer applications using reactive programmingVarious producer and consumer configurationAuto offset resetHow to acknowledge the messagesEmitting millions events to check the performanceSeeking offsetPartition assignment strategyCooperative sticky assignorRange assignorKafka ClusterHow cluster worksSetting up Kafka cluster using docker composeKafka cluster - Fault tolerance demo. How producer and consumer applications work without any issues when Kafka brokers go up and down.Best PracticesWhat is producer acknowledge and why we should do that?Min in sync replicasCreating idempotent producerCreating idempotent consumer to take care of duplicate messagesCompression - to reduce the size of messages and improve the throughputDiscussing Common QuestionsHow many topics should I create?How many partitions should I create?How many replicas should I have?Batch / Parallel ProcessingConsuming messages in parallel and proper order to make use of all the CPUs.Error HandlingRetryDead Letter TopicPoison Pill MessagesKafka TransactionHow to produce and consume messages in transactional mode (like Database Transaction)Integration TestsDeveloping integration tests using Embedded Kafka Kafka SecurityPlain CredentialsSSLAssignmentLets test our learning by developing a couple of Microservices communicating via Kafka Topic to analyze the user behaviors and provide metrics to Business team on Product Trending.

    Overview

    Section 1: Introduction

    Lecture 1 Introduction

    Lecture 2 Need For Event Driven Architecture / Kafka

    Lecture 3 Resource Download

    Section 2: Kafka Setup

    Lecture 4 Introduction

    Lecture 5 Custom Docker Image

    Lecture 6 Docker Compose Setup

    Section 3: Kafka Crash Course

    Lecture 7 Introduction

    Lecture 8 Cluster

    Lecture 9 Bootstrap Server

    Lecture 10 Topic Command

    Lecture 11 Exploring Data Directory

    Lecture 12 Documenting Commands

    Lecture 13 Console Producer

    Lecture 14 Console Consumer

    Lecture 15 Producer & Consumer Side By Side

    Lecture 16 [Properties] linger.ms vs batch.size

    Lecture 17 Consumer Push vs Pull

    Lecture 18 Serialization vs Deserialization

    Lecture 19 [Properties] Log Retention

    Lecture 20 Offset

    Lecture 21 Message Timestamp

    Lecture 22 2 Consumers Demo

    Lecture 23 Consumer Group

    Lecture 24 Consumer Group - Demo

    Lecture 25 Need For Message Ordering

    Lecture 26 Partition & Key

    Lecture 27 Who is calculating the Partition?

    Lecture 28 Topic With 2 Partitions

    Lecture 29 Consumer Group Demo with Partitions - Part 1

    Lecture 30 Consumer Group Demo with Partitions - Part 2

    Lecture 31 Consumer Group Scaling - Scenarios

    Lecture 32 Consumer Group - LAG

    Lecture 33 Multiple Consumer Group - LAG

    Lecture 34 Resetting Offset

    Lecture 35 Resetting Offset - Demo

    Lecture 36 Message Format

    Lecture 37 Summary

    Section 4: Reactor Kafka

    Lecture 38 Maven Dependencies

    Lecture 39 Project Setup

    Lecture 40 Consumer Config

    Lecture 41 Creating Kafka Receiver

    Lecture 42 Kafka Receiver Demo

    Lecture 43 Auto Offset Reset

    Lecture 44 Session Timeout Config

    Lecture 45 Acknowledging Message

    Lecture 46 Enabling Auto Commit

    Lecture 47 Will Messages Be Redelivered?

    Lecture 48 Out Of Order Commit

    Lecture 49 Consume From Multiple Topics

    Lecture 50 Kafka Producer Config

    Lecture 51 Creating Sender Record

    Lecture 52 Kafka Producer Demo

    Lecture 53 Sender Close

    Lecture 54 Receiver Close

    Lecture 55 Emitting 1 Million Events

    Lecture 56 Max In Flight

    Lecture 57 Message Headers

    Lecture 58 Consumer Group Demo - Part 1

    Lecture 59 Consumer Group Demo - Part 2

    Lecture 60 Cooperative Sticky Assignor

    Lecture 61 Range Assignor

    Lecture 62 Seeking Offset

    Lecture 63 Summary

    Section 5: Kafka Cluster

    Lecture 64 Introduction

    Lecture 65 Quick Note On Listeners

    Lecture 66 Cluster Properties

    Lecture 67 Cluster Demo

    Lecture 68 Kafka Fault Tolerance Demo

    Lecture 69 Summary

    Section 6: Best Practices

    Lecture 70 Producer acks

    Lecture 71 min.insync.replica

    Lecture 72 Idempotent Producer

    Lecture 73 Producing Duplicate Messages

    Lecture 74 Idempotent Consumer

    Lecture 75 Compression

    Lecture 76 How Many Topics Should I Create?

    Lecture 77 How Many Partitions Should I Create?

    Lecture 78 How Many Replication Factor Should I Have?

    Lecture 79 Summary

    Section 7: Batch / Parallel Processing

    Lecture 80 Introduction

    Lecture 81 Batch - Receiver Auto Ack / concatMap

    Lecture 82 Parallel - flatMap

    Lecture 83 Schedulers with FlatMap

    Lecture 84 Message Ordering Issue With FlatMap

    Lecture 85 GroupedFlux - Parallel and Message Ordering - Part 1

    Lecture 86 GroupedFlux - Parallel and Message Ordering - Part 2

    Lecture 87 Summary

    Section 8: Error Handling

    Lecture 88 Introduction

    Lecture 89 Simple Retry

    Lecture 90 Separating Receiver & Processor - Theory

    Lecture 91 Separating Receiver & Processor - Implementation - Part 1

    Lecture 92 Separating Receiver & Processor - Implementation - Part 2

    Lecture 93 Separating Receiver & Processor - Implementation - Part 3

    Lecture 94 Retry Depending On Error

    Lecture 95 Dead Letter Topic - Introduction

    Lecture 96 Reactive Dead Letter Topic Producer - Part 1

    Lecture 97 Reactive Dead Letter Topic Producer - Part 2

    Lecture 98 Order Event Processor

    Lecture 99 Code Cleanup

    Lecture 100 Dead Letter Topic Demo

    Lecture 101 Poison Pill Messages

    Lecture 102 Poison Pill Messages - Fix

    Lecture 103 Error Handling At Producer Side

    Lecture 104 Summary

    Section 9: Kafka Transaction

    Lecture 105 Introduction

    Lecture 106 Demo App Walkthrough

    Lecture 107 Transfer Event Consumer

    Lecture 108 Transfer Event Processor - Part 1

    Lecture 109 Transfer Event Processor - Part 2

    Lecture 110 Transfer Config

    Lecture 111 Adding Delay

    Lecture 112 Kafka Commands

    Lecture 113 Kafka Transaction Demo

    Lecture 114 How Kafka Transaction Works

    Lecture 115 read_committed vs read_uncommitted

    Lecture 116 Send Transactionally

    Lecture 117 Producer Fenced Exception

    Lecture 118 Delivery Semantics

    Section 10: Reactive Kafka With Spring

    Lecture 119 Introduction

    Lecture 120 Simple Spring Kafka Consumer

    Lecture 121 Order Event DTO

    Lecture 122 Spring Kafka Producer Config

    Lecture 123 Order Event Decoding Issue

    Lecture 124 Importance Of Type ID

    Lecture 125 Order Event Demo

    Lecture 126 Printing Type ID Header

    Lecture 127 Decoding As Custom Object

    Lecture 128 Summary

    Section 11: Integration Testing

    Lecture 129 Introduction

    Lecture 130 Embedded Kafka Test

    Lecture 131 Embedded Kafka Demo

    Lecture 132 Embedded Kafka Random Port

    Lecture 133 Project Restructure

    Lecture 134 Abstract Integration Test - Utilities - Part 1

    Lecture 135 Abstract Integration Test - Utilities - Part 2

    Lecture 136 OrderEventProducer - Test

    Lecture 137 OrderEventProducer - Demo

    Lecture 138 @DirtiesContext

    Lecture 139 Creating Sender Util

    Lecture 140 OrderEventConsumer - Demo

    Section 12: *** ASSIGNMENT ***

    Lecture 141 Introduction

    Lecture 142 R2DBC - Persistable Interface

    Lecture 143 ** ASSIGNMENT **

    Lecture 144 [ASSIGNMENT SOLUTION] - Product Service Setup

    Lecture 145 [ASSIGNMENT SOLUTION] - Product Service - Implementation - Part 1

    Lecture 146 [ASSIGNMENT SOLUTION] - Product Service - Implementation - Part 2

    Lecture 147 [ASSIGNMENT SOLUTION] - Product Service - Integration Test - Part 1

    Lecture 148 [ASSIGNMENT SOLUTION] - Product Service - Integration Test - Part 2

    Lecture 149 [ASSIGNMENT SOLUTION] - Analytics Service - Setup

    Lecture 150 [ASSIGNMENT SOLUTION] - Analytics Service - Implementation - Part 1

    Lecture 151 [ASSIGNMENT SOLUTION] - Analytics Service - Implementation - Part 2

    Lecture 152 [ASSIGNMENT SOLUTION] - Analytics Service - Implementation - Part 3

    Lecture 153 [ASSIGNMENT SOLUTION] - Analytics Service - Integration Test - Part 1

    Lecture 154 [ASSIGNMENT SOLUTION] - Analytics Service - Integration Test - Part 2

    Lecture 155 Final Demo

    Lecture 156 Final Demo With Companion Flux

    Section 13: Kafka Security

    Lecture 157 Introduction

    Lecture 158 App With Kafka Credentials

    Lecture 159 SSL Introduction

    Lecture 160 Kafka SSL

    Lecture 161 Kafka SSL Demo

    Section 14: Thank you

    Lecture 162 What's Next

    Any senior / staff level engineer