aws sam python example

Veröffentlicht am: 13 März 2024
auf dem Kanal: CodeMore

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in this tutorial, we will walk through deploying a simple python lambda function using aws serverless application model (sam). aws sam is an open-source framework for building serverless applications. it provides a simplified way to define aws lambda functions, amazon api gateway apis, and amazon dynamodb tables using a simple yaml syntax.
before we begin, ensure you have the following prerequisites installed and configured:
create a new directory for your project:
initialize a new sam project:
follow the prompts to choose a project template. for this tutorial, we'll choose the 1 for the "hello world example" template.
navigate to the directory of your sam project:
open the app.py file in your preferred text editor and replace its contents with the following python code:
this function takes an optional name parameter from the incoming event and returns a greeting message.
run the following command to build and invoke your lambda function locally:
this command uses the event.json file located in the sam-app directory as the event input for the lambda function.
you should see the output of your function in the terminal.
build your sam application:
deploy your application to aws:
follow the prompts to configure your deployment options. this will create a cloudformation stack containing your lambda function and any associated aws resources.
once the deployment is complete, you can invoke your lambda function using the aws cli:
replace your_function_name with the name of your lambda function.
check the output.json file to see the response from your lambda function.
congratulations! you have successfully deployed a python lambda function using aws sam. you can now extend this example by adding more functions, integrating with other aws services, or building a complete serverless application. explore the aws sam documentation for more advanced features and best practices.
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