Why To Deploy Python Applications On AWS?

  • Scalability: AWS provides a scalable infrastructure, allowing your Python application to easily handle multiple tasks.
  • Elastic Beanstalk: AWS Elastic Beanstalk is a Platform-as-a-Service (PaaS) offering that simplifies the deployment and management of Python applications.
  • Reliability and Availability: AWS offers global connectivity across data centers, ensuring its high level of reliability for your Python application.

How To Deploy Python Application In AWS?

In this article, we will explore how one as a Python developer can deploy the application by harnessing the capabilities of AWS. AWS, a leading cloud computing platform, offers a wide range of services to help developers build, deploy, and manage applications at scale EC2. It provides scalable computing power in the cloud, allowing developers to scale quickly or down depending on application demand. We will use the EC2(Elastic Compute Cloud) service provided by AWS to make our server and run our application onto this server.

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Why To Deploy Python Applications On AWS?

Scalability: AWS provides a scalable infrastructure, allowing your Python application to easily handle multiple tasks. Elastic Beanstalk: AWS Elastic Beanstalk is a Platform-as-a-Service (PaaS) offering that simplifies the deployment and management of Python applications. Reliability and Availability: AWS offers global connectivity across data centers, ensuring its high level of reliability for your Python application....

Step-By-Step Guide To Deploy Python Applications In AWS

Step 1: Log in with AWS Account with your credentials and Navigate to AWS Management Console....

Conclusion

In this article, we deployed python application on AWS using EC2 service provided by AWS. We used github repo and clone our code in server, also installed required packages and then run the application from which your application will be live in IP provided by AWS....

Python Deployment In AWS – FAQ’s

Can I Deploy A Python Application On AWS Lambda?...