Book Image

Python Essentials for AWS Cloud Developers

By : Serkan Sakinmaz
4 (1)
Book Image

Python Essentials for AWS Cloud Developers

4 (1)
By: Serkan Sakinmaz

Overview of this book

AWS provides a vast variety of services for implementing Python applications, which can pose a challenge for those without an AWS background. This book addresses one of the more predominant problems of choosing the right service and stepping into the implementation of exciting Python apps using AWS. The book begins by showing you how to install Python and create an AWS account, before helping you explore AWS Lambda, EC2, Elastic Beanstalk, and S3 for Python programming. You'll then gain hands-on experience in using these services to build the Python application. As you advance, you'll discover how to debug Python apps using PyCharm, and then start deploying the Python applications on Elastic Beanstalk. You’ll also learn how to monitor Python applications using the CloudWatch service, along with creating and publishing APIs on AWS to access the Python application. The concluding chapters will help you get to grips with storing unstructured and semi-structured data using NoSQL and DynamoDB, as well as advance your knowledge using the Glue serverless data integration service in AWS. By the end of this Python book, you’ll be able to take your application development skills up a notch with AWS services and advance in your career.
Table of Contents (18 chapters)
Part 1: Python Installation and the Cloud
Part 2: A Deep Dive into AWS with Python
Part 3: Useful AWS Services to Implement Python

Filing a metadata parser application with Lambda and S3

We are going to execute another application within Lambda. In this case, Lambda will be triggered by S3. S3 is an object storage service to which you can upload different types of files, such as image, CSV, and text files. In this example, when you upload a file to S3, the service will trigger the Lambda function, which in turn will provide information about file metadata. Let’s implement the application step by step:

  1. Log in to the AWS Management Console.
  2. Type lambda in the search box and go to the Lambda service.
  3. Click Create function.
  4. On the Create function page, select Author from scratch and then in the Runtime field, select Python 3.9:

Figure 3.9 – Create function

  1. In the Permissions section, select Amazon S3 object read-only permissions under Policy templates and enter a role name. In this case, I entered S3TriggerLambdaReadRole. The role is required...