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Building Serverless Applications with Python

You're reading from   Building Serverless Applications with Python Develop fast, scalable, and cost-effective web applications that are always available

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Product type Paperback
Published in Apr 2018
Publisher
ISBN-13 9781787288676
Length 272 pages
Edition 1st Edition
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Author (1):
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Jalem Raj Rohit Jalem Raj Rohit
Author Profile Icon Jalem Raj Rohit
Jalem Raj Rohit
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Table of Contents (11) Chapters Close

Preface 1. The Serverless Paradigm FREE CHAPTER 2. Building a Serverless Application in AWS 3. Setting Up Serverless Architectures 4. Deploying Serverless APIs 5. Logging and Monitoring 6. Scaling Up Serverless Architectures 7. Security in AWS Lambda 8. Deploying a Lambda Function with SAM 9. Introduction to Microsoft Azure Functions 10. Other Books You May Enjoy

Introduction to SAM

In this section, we will learn about SAM, which will help us build and deploy serverless functions:

  1. As mentioned earlier, SAM is about writing infrastructure as code. So, this is what a Lambda function would be described as in SAM:
AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
< Name of function >:
Type: AWS::Serverless::Function
Properties:
Handler: < index.handler >
Runtime: < runtime >
CodeUri: < URI of the bucket >
  1. In this block of code, we enter the details—the name of the function, and the URI of the S3 bucket where our code package is hosted. In the same way that we named the index and the handler in our Lambda settings, we need to enter those details here, too. The index.handler is the file in which our function code...
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