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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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Actor lifetime

Unlike Actor implementation on other platforms, such as Akka.net (https://petabridge.com/bootcamp/), Service Fabric Actors are virtual. What this means is that the Service Fabric Reliable Actors runtime manages the location and activation of Actor instances. The Reliable Actors runtime automatically activates an Actor the first time it receives a request for that Actor ID. If an Actor instance remains unused for a period of time, the Reliable Actors runtime garbage-collects the in-memory object. The Reliable Actors runtime also maintains knowledge of the Actor's existence in the state manager for any future Actor reactivations. Actor instances are activated only when the runtime receives a message that is intended to be served by the Actor. If a message is sent to the Actor instance and there is no activation of that Actor on any cluster node, then the runtime...

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