This guide will demonstrate the use of AWS SAM.
How to Use AWS SAM (Serverless Application Model)?
To use AWS SAM, open the “Terminal” from the local system:
It is required to install AWS SAM CLI on the local system to start using it. Run the following command to check the installation of the SAM:
Running the above command will display the installed version of the SAM CLI which in this scenario is “1.68.0”:
Initialize the SAM application by using the following command:
Executing the above command will prompt the user to select the “Templates” for the application:
After that, the terminal will inquire to set the default runtime and package type or change it. The default configurations differ for different systems and the user can choose accordingly:
Enter the name of the “Project” for the SAM:
Once the project directory is created, simply head into it by using the following command:
Inside the directory, use the following command to display the list of files:
Build the application by running the below-mentioned command:
The following screenshot displays that the SAM application has been built successfully:
Deploy the SAM application using the following command:
Configure the stack to deploy the application:
The application has been deployed successfully:
Visit the “CloudFormation” service from the AWS Console and click on the “Stacks” page:
Click on the name of the stack:
Head into the “Output” section and copy the link for the API:
Paste the copied link on the web browser to access the deployed SAM application on the cloud as displayed in the screenshot below:
That’s all about the use of AWS SAM.
Conclusion
To use AWS SAM, it is necessary to install SAM CLI on the local system to use it on the terminal. Initiate the SAM project and configure it according to the requirements and head inside the project directory. Build the SAM project inside the directory and then deploy it by configuring the stack. Visit the CloudFormation stack to access the SAM project using the link provided by the service. This guide has explained the use of the AWS Serverless Application Model.
