ChatGPT Run your application in the cloud and test to make sure it works correct

ChatGPT Run your application in the cloud and test to make sure it works correctly. • Documents the steps taken during configuration and deployment, as well as any problems encountered and how they were solved. • Prepare a final report that includes: • Description of the selected cloud service and the reasons for the choice. • Steps followed to register and configure the free account. • Description of the deployed Python application. • Details of the installation and configuration process. • Results of the tests carried out. • Conclusions and lessons learned. Give me a fictitious report on how the requested work is ISO and the pyton application that is a simple ChatGPT Final Report: Deploying a Python Application in the Cloud Description of the Selected Cloud Service Selected Service: AWS Elastic Beanstalk Reasons for Choice: scalability: AWS Elastic Beanstalk enables easy auto-scaling on demand. Easy to use: Offers a simplified deployment process, which is ideal for small and medium projects. Integration: Excellent integration with other AWS services, like S3 and RDS. Python support: Robust support for Python-based applications and its ecosystem. Steps Followed for Registration and Configuration of the Free Account Registration in AWS: I accessed the AWS website and registered for an account. I provided personal and billing information (credit card for verification). I activated the account using a link sent to my email. Initial setup: Access the AWS Management Console. I activated the free account that offers certain usage limits at no cost for 12 months. I configured access through AWS IAM to create a user with specific privileges for Elastic Beanstalk. Description of the Python Application Deployed Application: Simple Addition Calculator Description: an ap

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