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

Important configurations in Lambda

When you create a Lambda function, there are different configurations that need to be done in order to run it in an efficient way:

Figure 3.7 – The Lambda configuration

We will use these configurations for the next example. Before starting with the example, let’s take a look at the definitions of the configurations:

  • Memory: This configuration is used to define the memory limit of the application. You need to find the feasible amount of this value. If you define a large amount that is not used, it affects the cost. On the other hand, if you define a smaller amount of memory than is used, your application gives an out-of-memory exception.
  • Timeout: We mentioned that the Lambda function has a limitation in terms of timeout. You can provide a duration limit under which the Lambda function is supposed to work.
  • Ephemeral storage: This configuration allows setting a limit for a temporary filesystem...