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Kubernetes for Serverless Applications

You're reading from   Kubernetes for Serverless Applications Implement FaaS by effectively deploying, managing, monitoring, and orchestrating serverless applications using Kubernetes

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788620376
Length 318 pages
Edition 1st Edition
Concepts
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Author (1):
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Russ McKendrick Russ McKendrick
Author Profile Icon Russ McKendrick
Russ McKendrick
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Table of Contents (13) Chapters Close

Preface 1. The Serverless Landscape 2. An Introduction to Kubernetes FREE CHAPTER 3. Installing Kubernetes Locally 4. Introducing Kubeless Functioning 5. Using Funktion for Serverless Applications 6. Installing Kubernetes in the Cloud 7. Apache OpenWhisk and Kubernetes 8. Launching Applications Using Fission 9. Looking at OpenFaaS 10. Serverless Considerations 11. Running Serverless Workloads 12. Other Books You May Enjoy

Problems solved by serverless and Functions as a Service

Even though we have only been launching the most basic applications so far, I hope you are starting to see how using serverless could help with the development of your applications.

Imagine you have a JavaScript application which is being hosted in an object store such as Amazon's S3 service. Your application could be written in, say, React (https://facebook.github.io/react/) or Angular (https://angular.io/), and both of these technologies allow you to load external data using JSON. This data can be requested and delivered using a serverless function—combining these technologies allows you to create an application that not only has no single point of failure, but also, when using public cloud offerings, is a true you only pay for what you use application.

As the serverless function is being executed and then is immediately terminated, you should not have to worry about where or how it is executed, just that it is. This means that your application, in theory, should be scalable and also more fault-tolerant than a more traditional server-based application.

For example, if something goes wrong when one of your functions is called, for instance, if it crashes or there are resource issues and you know that when your function is next called it will be being launched afresh, you don't need to worry about your code being executed on a server which is having issues.

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