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Microservices with Azure

You're reading from   Microservices with Azure Build highly maintainable and scalable enterprise-grade apps

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787121140
Length 360 pages
Edition 1st Edition
Tools
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Authors (2):
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 Rai Rai
Author Profile Icon Rai
Rai
Namit Tanasseri Namit Tanasseri
Author Profile Icon Namit Tanasseri
Namit Tanasseri
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Table of Contents (23) Chapters Close

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
1. Microservices – Getting to Know the Buzzword 2. Microsoft Azure Platform and Services Primer FREE CHAPTER 3. Understanding Azure Service Fabric 4. Hands-on with Service Fabric – Guest Executables 5. Hands on with Service Fabric – Reliable Services 6. Reliable Actors 7. Microservices Architecture Patterns Motivation 8. Microservices Architectural Patterns 9. Securing and Managing Your Microservices 10. Diagnostics and Monitoring 11. Continuous Integration and Continuous Deployment 12. Serverless Microservices

Chapter 4. Hands-on with Service Fabric – Guest Executables

Service Fabric as a platform supports multiple programming models, each of which is best suited for specific scenarios. Each programming model offers different levels of integration with the underlying management framework. Better integration leads to more automation and fewer overheads. Picking the right programming model for your application or service is the key to efficiently utilizing the capabilities of Service Fabric as a hosting platform. Let's take a deeper look into these programming models.

To start with, let's look at the least integrated hosting option – Guest Executables. Native Windows applications or application code using Node.js or Java can be hosted on Service Fabric as a Guest Executable. These executables can be packaged and pushed to a Service Fabric cluster like any other services. As the cluster manager has minimal knowledge about the executable, features such as custom health monitoring, load reporting, state...

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