Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Embracing Microservices Design
  • Toc
  • feedback
Embracing Microservices Design

Embracing Microservices Design

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

Geode pattern

The geode pattern should be used when your applications have users distributed over a wide area and you want to deliver a highly scalable solution. The geode pattern entails distributing a set of backend services over several geographical nodes, each of which can handle any request from any client in any location. When building scalable solutions, data scaling is as important as application scaling. Many companies consider scaling out their frontend apps and sharing a single instance of the data that's been deployed to a central remote location. As a canonical practice, data should be closer to where the application is deployed. The geode pattern improves latency and performance by distributing the traffic based on the shortest path to the closest geode, where each geode is behind the load balancer, such as Azure Front Door or Traffic Manager.

The key difference between the geode pattern and deployment stamps is that with deployment stamps, the data can be fragmented...

bookmark search playlist download font-size

Change the font size

margin-width

Change margin width

day-mode

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Delete Bookmark

Modal Close icon
Are you sure you want to delete it?
Cancel
Yes, Delete