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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

Monitoring services

Monitoring is an important factor for any microservices-based application. Since the application is split into a set of various services running independently, troubleshooting errors becomes a daunting task. If you are following proper semantic logging for monitoring your services, your teams can easily monitor and investigate errors and respond quickly. Here are some aspects to be considered when evaluating this factor:

  • Do you have a practice of monitoring applications once they are deployed?
  • Is there a proper logging mechanism in place?
  • Is there distributed tracing infrastructure in place?
  • Is there a practice of recording exceptions?
  • Are defined health checks implemented for each service?
  • Are you following semantic logging?
  • Have you implemented key metrics, thresholds, and indicators?
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