Book Image

Microservices with Azure

By : Rahul Rai, Namit Tanasseri
Book Image

Microservices with Azure

By: Rahul Rai, Namit Tanasseri

Overview of this book

Microsoft Azure is rapidly evolving and is widely used as a platform on which you can build Microservices that can be deployed on-premise and on-cloud heterogeneous environments through Microsoft Azure Service Fabric. This book will help you understand the concepts of Microservice application architecture and build highly maintainable and scalable enterprise-grade applications using the various services in Microsoft Azure Service Fabric. We will begin by understanding the intricacies of the Microservices architecture and its advantages over the monolithic architecture and Service Oriented Architecture (SOA) principles. We will present various scenarios where Microservices should be used and walk you through the architectures of Microservice-based applications. Next, you will take an in-depth look at Microsoft Azure Service Fabric, which is the best–in-class platform for building Microservices. You will explore how to develop and deploy sample applications on Microsoft Azure Service Fabric to gain a thorough understanding of it. Building Microservice-based application is complicated. Therefore, we will take you through several design patterns that solve the various challenges associated with realizing the Microservices architecture in enterprise applications. Each pattern will be clearly illustrated with examples that you can keep referring to when designing applications. Finally, you will be introduced to advanced topics such as Serverless computing and DevOps using Service Fabric, to help you undertake your next venture with confidence.
Table of Contents (23 chapters)
Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Part 1 – Laying The Foundation
Part 2 – Microsoft Azure Service Fabric
Part 3 – Microservice Architecture Patterns
Part 4 – Supplementary Learning

Latency Optimized Load Balancing


Problem

Microservice platforms today, supports geographically dispersed deployments. This means that multiple instances of a Microservice can be hosted in different continents on heterogeneous environments. While abstracting the service hosting location has advantages, it also introduces challenges around offering consistent performance for consumer requests from different parts of the globe. Having a load balancer which uses a round robin or random routing algorithm cannot guarantee the most optimal response in most cases.

Latency optimized load balancing (Problem)

Solution

Load balancing plays an important role in optimal performance of any distributed system. This pattern optimizes the action of load balancing by considering the proximity of the Microservice deployment and the turnaround time from previous requests along with other parameters such as current load, health of the instance, and so on. This will enable the system to route a request from a consumer...