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

Provisioning an EC2 server

We are going to provision an EC2 server step by step. There are different types of EC2 machines; we will provision a free server. I would recommend terminating the server when you finish your work, as we are just using EC2 for learning purposes.

To provision an EC2 server on AWS, carry out the following steps:

  1. Go to the AWS Management Console.
  2. Search for EC2 and go to the link titled EC2:

Figure 4.3 – AWS Management Console

  1. In order to launch an instance, click Instances on the left side, and then click Launch instances:

Figure 4.4 – Create an instance

  1. In the new panel, you can give a name to the EC2 instance. You can see that we titled ours Test_Python. On this launch page, AWS recommends a Linux machine, which is in the free tier. The free tier means that you don’t need to pay money to AWS. We will proceed with that option:
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