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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

Latency Optimized Load Balancing


Problem

Microservice platforms today, supports geographically dispersed deployments. This means that multiple instances of a Microservice can be hosted in different continents on heterogeneous environments. While abstracting the service hosting location has advantages, it also introduces challenges around offering consistent performance for consumer requests from different parts of the globe. Having a load balancer which uses a round robin or random routing algorithm cannot guarantee the most optimal response in most cases.

Latency optimized load balancing (Problem)

Solution

Load balancing plays an important role in optimal performance of any distributed system. This pattern optimizes the action of load balancing by considering the proximity of the Microservice deployment and the turnaround time from previous requests along with other parameters such as current load, health of the instance, and so on. This will enable the system to route a request from a consumer...

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