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

The coding of the Python application

Let’s implement the application step by step.

Creating S3 buckets to store images

In this subsection, we are going to create an S3 bucket to hold images, which is uploaded via API Gateway. S3 will store the image and provide it whenever requested:

  1. Create a bucket and click the Create bucket button at the bottom of the page:

Figure 12.2 – An S3 bucket

  1. We filled in the Bucket name field as python-book-image; you can use whatever you want. After adding the bucket name, click Create bucket to create a new bucket:

Figure 12.3 – Bucket configuration

We have created an S3 bucket.

Creating Lambda code

In this subsection, we are going to implement a Lambda code that accepts the image upload request from API Gateway and stores the image in the S3 bucket:

  1. Create a Lambda function via the AWS Management Console. You can see the Function...