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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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Toc

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

Deployment stamps pattern

The deployment stamps pattern involves deploying multiple copies of the application or service to multiple regions. This is used to achieve high availability and scalability for your applications. If you deploy the application to a single region, you might encounter certain limitations:

  • Targeting a single region would impact the business in case of a disaster or if that region goes down for even a few minutes.
  • The application is being operated at a global scale, and many customers who are not close to the region where the application has been deployed may face latency issues.
  • Segregating the data based on customer location.
  • Deploying updates in a controlled manner, such as rolling out region by region.
  • Deploying updates based on customer preference and releasing new versions to customers who can handle the update frequency.

As a solution, consider deploying the service to multiple locations, where each can operate and update...

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