Run Python Scripts Before Deploying AWS Elastic Beanstalk Application

Answer - A.

The AWS Documentation mentions the following.

You can use the container_commands key to execute commands that affect your application source code.

Container commands run after the application and web server have been set up and the application version archive has been extracted, but before the application version is deployed.

Non-container commands and other customization operations are performed prior to the application source code being extracted.

For more information on Container commands, please visit the below URL:

http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/customize-containers-ec2.html

The correct answer is A: Make use of container commands.

Elastic Beanstalk is an AWS service that simplifies deploying and scaling web applications. It supports several programming languages and platforms, including Java, .NET, PHP, Python, Ruby, and Docker.

To deploy an application on Elastic Beanstalk, you can create an environment and upload your application code. Elastic Beanstalk automatically provisions resources such as EC2 instances, load balancers, and auto-scaling groups to run your application.

You can use container commands to run scripts or perform any other operations on the instances running your application before or after deployment. Container commands are specified in a configuration file called .ebextensions, which is stored in the root of your application source bundle.

Here's an example of a .ebextensions file that runs a Python script before the application is deployed:

yamlCopy code
container_commands:   01_run_script:     command: "python scripts/setup.py" 

In this example, the container_commands section contains a single command named 01_run_script. The command property specifies the Python script to run (scripts/setup.py). The prefix 01_ ensures that this command is executed before any other commands in the same section.

When Elastic Beanstalk deploys your application, it looks for the .ebextensions file and executes any container commands defined in it. If there are errors in the script or command, Elastic Beanstalk rolls back the deployment.

In summary, container commands are a powerful feature of Elastic Beanstalk that allow you to customize the deployment process of your applications. They can be used to run any script or command on the instances running your application, including Python scripts.