Скачать или смотреть aws lambda python container example

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In this tutorial, we will explore how to use AWS Lambda with Python in a containerized environment. AWS Lambda now supports custom runtime environments using container images, allowing you to package and deploy your dependencies along with your code.
AWS Account: Ensure you have an AWS account with the necessary permissions to create Lambda functions and manage other related resources.
Docker: Install Docker on your local machine. You can download it from Docker's official website.
AWS CLI: Install and configure the AWS CLI on your machine. You can find instructions here.
This command builds a Docker image with your Python code.
Create an Amazon ECR repository: Open the AWS Management Console, navigate to the Amazon ECR service, and create a new repository.
Authenticate Docker to the ECR registry: Run the following command to authenticate your Docker client to your ECR registry:
Replace your-execution-role with the ARN of the IAM role that Lambda will assume.
Check the output.txt file for the function's response.
Congratulations! You have successfully created and deployed an AWS Lambda function using a Python container. You can now extend this example by adding dependencies, handling events, and exploring more advanced features of AWS Lambda.
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