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

Running Python Applications on EC2

In this chapter, we are going to learn how to run Python applications within the Elastic Compute Cloud (EC2) service. EC2 is an AWS service that allows you to provision a server in the cloud. You can find different types of server options. You need to carry out some configuration and run the server on the cloud. You might wonder why we need EC2 when we have Lambda. Lambda is very effective but has a duration limit. If you run your function for more than 15 minutes, it will give a timeout. What happens if your application needs to be run for a couple of hours because of a huge process? Lambda doesn’t work and you need your own server. Another reason to use EC2 would be if you need a very special configuration or installation that needs to be done within a specific server; you would need a server as well. Based on this kind of requirement, you need to have your own server in the cloud. We will provision a server and run a Python application within...