Book Image

Implementing Azure: Putting Modern DevOps to Use

By : Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai
Book Image

Implementing Azure: Putting Modern DevOps to Use

By: Florian Klaffenbach, Oliver Michalski, Markus Klein, Mohamed Waly, Namit Tanasseri, Rahul Rai

Overview of this book

This Learning Path helps you understand microservices architecture and leverage various services of Microsoft Azure Service Fabric to build, deploy, and maintain highly scalable enterprise-grade applications. You will learn to select an appropriate Azure backend structure for your solutions and work with its toolkit and managed apps to share your solutions with its service catalog. As you progress through the Learning Path, you will study Azure Cloud Services, Azure-managed Kubernetes, and Azure Container Services deployment techniques. To apply all that you’ve understood, you will build an end-to-end Azure system in scalable, decoupled tiers for an industrial bakery with three business domains. Toward the end of this Learning Path, you will build another scalable architecture using Azure Service Bus topics to send orders between decoupled business domains with scalable worker roles processing these orders. By the end of this Learning Path, you will be comfortable in using development, deployment, and maintenance processes to build robust cloud solutions on Azure. This Learning Path includes content from the following Packt products: • Learn Microsoft Azure by Mohamed Wali • Implementing Azure Solutions - Second Edition by Florian Klaffenbach, Oliver Michalski, Markus Klein • Microservices with Azure by Namit Tanasseri and Rahul Rai
Table of Contents (29 chapters)
Title Page
Copyright and Credits
About Packt
Contributors
Preface
Index

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...