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)
1
Part 1: Python Installation and the Cloud
4
Part 2: A Deep Dive into AWS with Python
9
Part 3: Useful AWS Services to Implement Python

Deploying a Python web application on Elastic Beanstalk

In this section, we are going to deploy a sample Python web application on Elastic Beanstalk:

  1. Type Elastic Beanstalk in the AWS Management Console search box and click Elastic Beanstalk:

Figure 6.1 – AWS Console

You will see the main page of Elastic Beanstalk:

Figure 6.2 – Elastic Beanstalk

  1. Click Environments on the left side in order to create a new Python web application, and then click the Create a new environment button:

Figure 6.3 – Environment list

  1. In the next panel, we are going to select what type of environment we want. Since we would like to deploy a web application, select Web server environment:

Figure 6.4 – Selecting an environment

  1. I have named the file Python Web app. You can name it whatever you want:
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