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Hands-On Serverless Computing

You're reading from   Hands-On Serverless Computing Build, run and orchestrate serverless applications using AWS Lambda, Microsoft Azure Functions, and Google Cloud Functions

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788836654
Length 350 pages
Edition 1st Edition
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Author (1):
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Kuldeep Chowhan Kuldeep Chowhan
Author Profile Icon Kuldeep Chowhan
Kuldeep Chowhan
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Table of Contents (16) Chapters Close

Preface 1. What is Serverless Computing? 2. Development Environment, Tools, and SDKs FREE CHAPTER 3. Getting Started with AWS Lambda 4. Triggers and Events for AWS Lambda 5. Your First Serverless Application on AWS 6. Serverless Orchestration on AWS 7. Getting Started with Azure Functions 8. Triggers and Bindings for Azure Functions 9. Your First Serverless Application on Azure 10. Getting Started with Google Cloud Functions 11. Triggers and Events for Google Cloud Functions 12. Your First Serverless Application on Google Cloud 13. Reference Architecture for a Web App 14. Reference Architecture for a Real-time File Processing 15. Other Books You May Enjoy

Reference Architecture for a Real-time File Processing

By this point, we have learned what serverless computing is, and we've also learned how to build serverless apps using three public cloud providers: AWS, Microsoft Azure, and Google Cloud Platform. We learned about creating FaaS offerings in all three public cloud providers, along with the creation of an HTTP trigger for each of the different FaaS offerings the three public cloud providers offer.

In this chapter, I want to cover how to build a serverless application in the AWS environment that processes files. The reference architecture that I want to cover as part of this chapter concerns creating different resolutions for a photo as soon as it gets uploaded to an S3 bucket. The end result of different sets of resolutions for the same photos is that they will all end up in an S3 bucket.

In this chapter, we will look...

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