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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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Toc

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

Reliable Data Store


Problem

Stateful Microservices are commonly associated with dependencies on external data stores. These dependencies often introduce bottle necks in terms of performance and availability as the data source can act like a single point of failure. This problem has enhanced impact where multiple instances of a service co-exists at a given point. Maintaining high availability of the data store becomes expensive as the data grows. The following diagram illustrates a system with a centrally externalized data store:

Reliable data store (Problem)

Solution

A solution to this problem is to co-locate Microservice state with compute. This will reduce application's dependency on external data stores (such as cache) for frequently accessed data. Having the data stored on the same deployment instance as the consuming application also contributes positively to the system performance and negates the risk introduced by the data store being a single point of failure.

However, this introduces...

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