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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

Distributed transaction handling

Distributed transaction facilitates the execution of multiple operations as a single unit of work. In a distributed transaction, a command is an operation that performs a state change and causes an event to occur. These events might alert the next phase or the entire system of the transaction's success or failure. If they are successful, they can cause another command to be performed, which can then cause an event, and this will continue until all transactions are completed or rolled back, depending on whether the transaction is successful or not. Let's explore the important aspects to consider while evaluating this factor, as follows:

  • How many distributed transactions exist in the system?
  • What is your approach to handling distributed transactions—is it using an orchestrator or choreography pattern?
  • How many transactions span over multiple services?
  • Are you using a long-chain operation when a transaction spans...
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