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

Distribution and failover


The Reliable Actors runtime manages scalability and reliability of Actors by distributing Actors throughout the cluster and automatically migrating them from failed nodes to healthy ones when required.

Actors are distributed across the partitions of the Actor Service, and those partitions are distributed across the nodes in a Service Fabric cluster. Each service partition contains a set of Actors. Service Fabric manages distribution and failover of the service partitions.

For example, an Actor service with nine partitions deployed to three nodes using the default Actor partition placement would be distributed like this:

Actor instances distributed among partitions

The partition scheme and key range settings are taken care of by the runtime. Unlike Reliable Services, the Reliable Actors service is restricted to the range partitioning scheme (the uniform Int64 scheme) and requires you to use the full Int64 key range. By default, Actors are randomly placed into partitions...