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 an AWS Lambda function using the AWS Toolkit

In this section, we are going to run our Lambda function within PyCharm. Let’s follow the steps:

  1. Open AWS Toolkit on the left side of PyCharm and you will be able to see the Lambda functions that are defined in the AWS Lambda service. Seeing this means that the connection we configured works:

Figure 5.15 – Open the AWS Toolkit menu

In the list, we can see the functions that we created in the us-east-2 region. We are now ready to run the Lambda function that we created in the previous section.

  1. Right-click FileProcessing and, on the resulting menu, click the Run ‘[Remote] FileProcess...’ button:

Figure 5.16 – Run the function

When you click the link, the AWS Toolkit will run the Lambda function via PyCharm:

Figure 5.17 – Logs of the function

After running the function, some Lambda...