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Microservices with Azure

Microservices with Azure

By : Rai, Namit Tanasseri
3 (2)
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Microservices with Azure

Microservices with Azure

3 (2)
By: 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 (13 chapters)
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Problem

Individual services in Microservice architecture have different Quality of Service (QoS) guarantees. If the processing requirements of the system exceed the capacity of the resources that are available, it will suffer from poor performance and may even fail. The system may be obliged to meet an agreed level of service, and such failure could be unacceptable.

Using auto-scaling pattern helps provision more resources with an increase in demand. This pattern not only consistently meets user demand, but also optimizes running costs. However, auto-scaling is not the optimal solution in the following scenarios:

  • The backend service or data store has throttling limits which affect the limit of scale the application...

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