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Microservices with Azure

You're reading from  Microservices with Azure

Product type Book
Published in Jun 2017
Publisher Packt
ISBN-13 9781787121140
Pages 360 pages
Edition 1st Edition
Languages
Authors (2):
Rahul Rai Rahul Rai
Profile icon Rahul Rai
Namit Tanasseri Namit Tanasseri
Profile icon Namit Tanasseri
View More author details

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
1. Microservices – Getting to Know the Buzzword 2. Microsoft Azure Platform and Services Primer 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

Master Data Management


Problem

In a Microservice-based architecture, services are modeled as isolated units that manage independent activities. However, fully functional systems rely on the cooperation and integration of Microservices. Data sharing in a Microservice architecture has its own sets of problems such as:

  • Handling big volumes of data
  • Consistency guarantees while reducing data-access contention using simple locks
  • Whether to share database for master data

Master Data Management (Problem)

Solution

Large scale Microservice based applications such as Netflix use different databases for each Microservice. This approach helps the services stay independent of each other. A schema change in one of the service databases does not impact the rest of the services. This approach increases the complexity of data management as the systems may get out of sync or become inconsistent.

A custom or ready-made Master Data Management (MDM) tool should be used that operates in background to fix any inconsistencies...

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