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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

Introduction


As you start scaling out to several microservices, it becomes difficult to monitor them. You might want to know when some part of your platform is not working as expected. At the same time, you want to be notified when some part of your application is not performing well. So monitoring becomes a significant aspect of microservices. At the same time, monitoring will not make sense if you don't monitor the right metrics. So exposing the right metrics for each microservices matter a lot. While you spend 60 percent of your time writing the actual functionality of the microservice, the other 40 percent should be spent on activities such as deployments, CI, monitoring, and logging. If this sounds strange to you, you will start understanding it as soon as you start writing more and more microservices.

The biggest question is where do we store these metrics. That's where Time Series Databases come into picture. There are several time series databases in the market at the moment like...

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