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

Auto-scaling


Problem

The load on the services tier of enterprise system is typically nonlinear. Matching the infrastructure services to the workload is a key challenge faced by operation teams these days. The complexity starts with understanding the pattern around increase/decrease in the workload, mapping the workload with a scale-out / scale-up plan and then executing the plan manually. The challenges multiply if the workload keeps changing frequently altering the scalability requirements dynamically.

The following diagram illustrates a scenario where the operations team manually manages the scaling of services:

Auto-scaling (Problem)

Solution

The solution is to employ a software system to perform scaling automatically based on parameters such as number of requests, CPU utilization, memory utilization, and buffer size (queue size), and so on to improve the efficiency of the system and to optimize operational expense.

Auto-scaling is an elastic process which will provision resources based on...