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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

Chapter 5: Data Design Pitfalls

Data is the lifeblood of any business application. As developers and architects, we are constantly focused on our application's data and its state, how we transport that data, and how we persist our data. In traditional approaches, such as a waterfall, the first thing we design is the database. However, in my opinion, this is the incorrect approach to take. This is because, in the beginning, our knowledge of the problem space or business domain is naïve. In turn, this could lead to many columns in our database tables that are never used and schemas that are incomplete or bloated. Microservices best practice states that each service is responsible for its own data. We should begin with the development of our domain model and then determine which persistence strategy to employ. We should design our services and identify the aggregates that make up and form the boundaries around that microservice and its transactions. In this chapter, we will...

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