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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

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801818384
Length 306 pages
Edition 1st Edition
Concepts
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Authors (3):
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Ovais Mehboob Ahmed Khan Ovais Mehboob Ahmed Khan
Author Profile Icon Ovais Mehboob Ahmed Khan
Ovais Mehboob Ahmed Khan
Timothy Oleson Timothy Oleson
Author Profile Icon Timothy Oleson
Timothy Oleson
Nabil Siddiqui Nabil Siddiqui
Author Profile Icon Nabil Siddiqui
Nabil Siddiqui
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Table of Contents (16) Chapters Close

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

Over-architecting microservices

Over architecture or over-architecting is a subjective term and has a lot of room for debate but in my opinion, it's the time and effort you put into solving architecture problems you don't have or can foresee, which results in an architecture that's hard to read and follow. As an architect, you should always be striving to make the overall architecture more understandable and maintainable to support future enhancements. Architecting microservices can be overwhelming enough to influence teams to look for similarities across the system and apply generic solutions rather than focusing on use cases. For example, if too much time is spent on over-architecting the application earlier in the project, this may result in precious time being lost, which causes delays when it comes to starting coding activities. A lot of the time, application design evolves as teams become more knowledgeable about the use cases. In the next few sections, we will...

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