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

Features of RDS

RDS comes with different features that facilitate the creation and maintenance of the database. Let’s look at the most important features:

  • Easy to use: You can easily create and maintain RDS via the AWS console. It also allows us to use some API capabilities to make some programmatic operations. For example, you can create and scale the database, and monitor its usage.
  • Scalability: RDS supports scalability; if there is a need to support more capacity, you can easily scale the database up. However, if the capacity is less than you estimate, you can reduce the capacity with a scale-down request to reduce the cost. Another option is Amazon Aurora, which allows cloud users to implement more performance-intensive applications that support a Relational Database Management System (RDBMS).
  • Backup: A database backup is important in case any issue arises with the infrastructure. In some cases, the backup is used to create a new database. RDS supports both...