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Embracing Microservices Design

Embracing Microservices Design

By : Mehboob Ahmed Khan, Siddiqui, Timothy Oleson
4.6 (14)
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Embracing Microservices Design

Embracing Microservices Design

4.6 (14)
By: Mehboob Ahmed Khan, Siddiqui, Timothy Oleson

Overview of this book

Microservices have been widely adopted for designing distributed enterprise apps that are flexible, robust, and fine-grained into services that are independent of each other. There has been a paradigm shift where organizations are now either building new apps on microservices or transforming existing monolithic apps into microservices-based architecture. This book explores the importance of anti-patterns and the need to address flaws in them with alternative practices and patterns. You'll identify common mistakes caused by a lack of understanding when implementing microservices and cover topics such as organizational readiness to adopt microservices, domain-driven design, and resiliency and scalability of microservices. The book further demonstrates the anti-patterns involved in re-platforming brownfield apps and designing distributed data architecture. You’ll also focus on how to avoid communication and deployment pitfalls and understand cross-cutting concerns such as logging, monitoring, and security. Finally, you’ll explore testing pitfalls and establish a framework to address isolation, autonomy, and standardization. By the end of this book, you'll have understood critical mistakes to avoid while building microservices and the right practices to adopt early in the product life cycle to ensure the success of a microservices initiative.
Table of Contents (16 chapters)
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1
Section 1: Overview of Microservices, Design, and Architecture Pitfalls
6
Section 2: Overview of Data Design Pitfalls, Communication, and Cross-Cutting Concerns
10
Section 3: Testing Pitfalls and Evaluating Microservices Architecture

Deployment rings

When the user base is large, deployment rings help you deploy or roll out applications in phases. The first phase targets a small set of users and then increases progressively as the rollout happens. Releasing a major version to a large user base is risky compared to releasing it to a limited set of users and then rolling back when confidence has been built. The deployment rings can be set as follows:

  • Canaries: Users who voluntarily test the features as soon as they are released
  • Early adopters: Users who can take risks in using the preview features.
  • Users: Users who use the features once they have been tested by canaries and early adopters.

Using stages in the Azure DevOps release pipeline helps you implement deployment rings. The release, once built, is deployed to canaries, and then to early adopters, and then to users. The following diagram depicts deployment rings in conjunction with Azure DevOps:

Figure 8.9 –...

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