Transactional Outbox Pattern With Debezium

Transactional Outbox Pattern With Debezium - Printable Version

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Transactional Outbox Pattern With Debezium - AD-TEAM - 03-09-2025

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Transactional Outbox Pattern With Debezium
Published 1/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 447.07 MB | Duration: 1h 14m

Reliable Microservice Data Exchange using Transactional outbox pattern using Debezium and Mongodb (includes HANDS-ON)

[b]What you'll learn[/b]

Reliable microservice data exchange using Debezium

Transactional Outbox Pattern

Debezium with Mongodb connector

Loose coupling Micro-services using Change Data Capture (CDC) and Debezium

[b]Requirements[/b]

Very basic knowledge of Java, Mongodb, Kafka, Docker. No advanced knowledge is needed.

[b]Description[/b]

Debezium is a set of distributed services to capture changes in your databases so that your applications can see those changes and respond to them. Debezium records all row-level changes within each database table in a change event stream, and applications simply read these streams to see the change events in the same order in which they occurred.This is widely used to loosely couple and scale the micro-service architecture. It supports wide range of databases like Mongodb, MySQL, Postgres, Oracle etc.Advantages of Debezium:1. Ensures all data changes are captured.2. Supports wide range of Databases.3. Produces change events with very low delay. Also avoids high CPU usage.4. Can capture deletes.5. Can capture old record state and additional metadata.What to expect from this course:1. Learn about what are different Data Exchange patterns between Microservices, their advantages and disadvantages.2. What is Transactional Outbox Pattern, why is it needed, and what are various ways to implement it?3. What is Debezium, it's architecture, connector for Mongodb and it's internal working.4. Full Hands-on demo, where we will develop order service that accepts and stores order details, stream these details using Debezium as events on Kafka, and then consume these events using loyalty service, that allocates loyalty points to the customer, thus loose coupling dependency between our order service and loyalty service and also avoiding Dual Writes problem!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Microservice Data exchange patterns: Synchronous Data exchange

Lecture 3 Microservice Data exchange patterns: Asynchronous Data exchange

Lecture 4 Transactional Outbox Pattern

Section 2: Debezium and it's architecture

Lecture 5 Introduction to Debezium

Lecture 6 Debezium Architecture

Lecture 7 Debezium connector for Mongodb

Lecture 8 How Debezium connector works?

Section 3: Hand-on!

Lecture 9 Setup order-service

Lecture 10 order-service implementation

Lecture 11 Configure and start Debezium connector for Mongodb

Lecture 12 loyalty-service implementation and conclusion

Backend engineers who want to loose couple microservices and avoid Dual writes problem,Any engineer who wants to learn reliable microservice data exchange using Transactional Outbox Pattern and Debezium

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