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Microservices Deployment Cookbook

You're reading from   Microservices Deployment Cookbook Deploy and manage scalable microservices

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786469434
Length 378 pages
Edition 1st Edition
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Author (1):
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Vikram Murugesan Vikram Murugesan
Author Profile Icon Vikram Murugesan
Vikram Murugesan
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Table of Contents (9) Chapters Close

Preface 1. Building Microservices with Java FREE CHAPTER 2. Containerizing Microservices with Docker 3. Deploying Microservices on Mesos 4. Deploying Microservices on Kubernetes 5. Service Discovery and Load Balancing Microservices 6. Monitoring Microservices 7. Building Asynchronous Streaming Systems with Kafka and Spark 8. More Clustering Frameworks - DC/OS, Docker Swarm, and YARN

Load balancing microservices using Zookeeper


In the previous recipe, we orchestrated a Zookeeper instance along with an Exhibitor instance. In this recipe, we will utilize these instances to load-balance the geolocation microservice. We will be spinning off two instances of the geolocation microservice and see how we can use Zookeeper and the Curator API to perform round-robin style load balancing on the HTTP endpoints exposed by the geolocation microservice.

Load-balancing HTTP-based microservices is a significant step towards onboarding your microservice to a cluster such as Mesos or Kubernetes. Scalability will not have any value unless you figure out a way to load-balance your microservices. Zookeeper is just one way to do this; with the tools currently available, there are several ways to do this: using frameworks such as Consul and Marathon LB (Mesos/Marathon specific). In fact, there are libraries that even let you perform load-balancing on the client side. We will be looking at Consul...

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