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Embracing Microservices Design

You're reading from Embracing Microservices Design A practical guide to revealing anti-patterns and architectural pitfalls to avoid microservices fallacies

Product type Paperback

Published in Oct 2021

Publisher Packt

ISBN-13 9781801818384

Length 306 pages

Edition 1st Edition

Concepts

Design

Authors (3):

Ovais Mehboob Ahmed Khan

Timothy Oleson

Nabil Siddiqui

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Table of Contents (16) Chapters

Preface

1. Section 1: Overview of Microservices, Design, and Architecture Pitfalls

2. Chapter 1: Setting Up Your Mindset for a Microservices Endeavor FREE CHAPTER

3. Chapter 2: Failing to Understand the Role of DDD

4. Chapter 3: Microservices Architecture Pitfalls

5. Chapter 4: Keeping the Replatforming Brownfield Applications Trivial

6. Section 2: Overview of Data Design Pitfalls, Communication, and Cross-Cutting Concerns

7. Chapter 5: Data Design Pitfalls

8. Chapter 6: Communication Pitfalls and Prevention

9. Chapter 7: Cross-Cutting Concerns

10. Section 3: Testing Pitfalls and Evaluating Microservices Architecture

11. Chapter 8: Deployment Pitfalls

12. Chapter 9: Skipping Testing

13. Chapter 10: Evaluating Microservices Architecture

14. Assessments

15. Other Books You May Enjoy

The pitfalls of keeping a single shared database

The number one mistake that teams make when deciding to go with microservices is trying to share a single database and scheme with multiple microservices. So, why is this such a bad idea even though it certainly seems easier? Well, let's start with the definition of microservices.

The definition of a microservice states that each microservice should have its own database or data store for which it is responsible for maintaining the state of its data. Therefore, it makes sense that we adhere to this principle of a single database when creating our microservices. It is also reasonable to conclude that when we break up a monolithic application into microservices, we must break apart the large monolithic legacy database into smaller, separate data stores of one per microservice. This breaking up of mature legacy databases is no easy task and should not be taken lightly. An activity such as breaking up a mature database into smaller...

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Authors (3)

Mehboob Ahmed Khan

Mehboob Ahmed Khan

Ovais Mehboob Ahmed Khan is a seasoned programmer and solution architect with nearly 20 years of experience in software development, consultancy, and solution architecture. He has worked with various clients across the world and is currently working as a senior customer engineer at Microsoft. He specializes mainly in application development using .NET and OSS technologies, Microsoft Azure, and DevOps. He is a prolific writer who has written several books and articles on various technologies. He really enjoys talking about technology and has given a number of technical sessions around the world.

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Siddiqui

Siddiqui

Nabil Siddiqui is an open source contributor and technology speaker who is currently working as a cloud solution architect at Microsoft, focusing on application innovation. He is well versed as a software engineer, consultant, trainer, and architect. He has around 20 years of experience, ranging from desktop applications to highly distributed applications on different platforms using various programming languages. During his career, he's accomplished various technical challenges and worked on a broad range of projects that have given him rich experience in designing innovative solutions to solve difficult problems.

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Timothy Oleson

Timothy Oleson

Tim Oleson, a customer engineer at Microsoft, focuses on domain-driven design, CosmosDB, Microsoft Azure PaaS, and Azure Kubernetes Service. He is a seasoned software engineer, consultant, trainer, and architect. He has 20+ years of experience, ranging from web applications to highly distributed service-oriented applications.

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