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

Configuring the AWS Toolkit

We are going to configure the AWS Toolkit in order to connect it to our AWS account. We will start by setting the credentials for our AWS account:

  1. After restarting the IDE, you will see the text AWS: No credentials selected at the bottom-right of the page. Click this text:

Figure 5.4 – AWS: No credentials selected

  1. After clicking it, you will see the AWS Connection Settings menu appear. We are now going to configure the credentials. In order for the IDE to connect to AWS, we need to provide the AWS access key and secret key:

Figure 5.5 – Click Region

In the previous chapter, Chapter 4, Running Python Applications on EC2, we created an S3User via the IAM service. For our current use case, we follow the same steps in order to create a user that has Lambda access:

  1. In the IAM console, add a user with the name ProgrammaticUser and click Next: Permissions:
  2. ...