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

What is Elastic Beanstalk?

Elastic Beanstalk is an AWS service that is used to deploy web applications in the cloud. It supports multiple web application frameworks such as Python, Java, .NET, PHP, Node.js, Ruby, and Go. Once you deploy your application, Elastic Beanstalk manages the infrastructure in order to deploy, run, scale, and monitor applications.

Features of Elastic Beanstalk

Let’s take a look at the high-level features of Elastic Beanstalk:

  • It supports monitoring and logging; hence, you can easily track how the application is behaving. For example, if an application goes down, you can check via Elastic Beanstalk.
  • It manages updates for infrastructure. In some cases, your application should be updated with the latest improvements in Python or other libraries and Elastic Beanstalk manages the updates with you in control.
  • It manages scaling features up and scaling features down; hence, if your application has too many requests, it adds more resources...