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Building Serverless Microservices in Python

You're reading from   Building Serverless Microservices in Python A complete guide to building, testing, and deploying microservices using serverless computing on AWS

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789535297
Length 168 pages
Edition 1st Edition
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Author (1):
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Richard Takashi Freeman Richard Takashi Freeman
Author Profile Icon Richard Takashi Freeman
Richard Takashi Freeman
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Table of Contents (8) Chapters Close

Preface 1. Serverless Microservices Architectures and Patterns FREE CHAPTER 2. Creating Your First Serverless Data API 3. Deploying Your Serverless Stack 4. Testing Your Serverless Microservice 5. Securing Your Microservice 6. Summary and Future Work 7. Other Books You May Enjoy

Creating a profile, an S3 bucket, IAM policies, and IAM roles resources

We will first set up an S3 bucket that will hold the source code for the Lambda deployment package. IAM policies and roles allow API Gateway to invoke Lambda, and Lambda to access DynamoDB. We set them up using the AWS Management Console; here, we will use the AWS CLI and SAM.

The code, shell scripts, and configuration files used in this chapter are available under the ./serverless-microservice-data-api/ folder.

Creating an AWS credentials profile

Follow these steps to create an AWS credentials profile:

  1. Create an AWS profile called demo:

$ aws configure --profile demo
  1. Re-enter the same AWS aws_access_key_id and aws_secret_access_key details as in...
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