So far, we have learned about Lambda functions and how to build them. We have learned that a Lambda function has a definite set of triggers that would trigger the function to carry out a particular task. The task is written as a Python module and the script is what we call a function. We have also learned about the different settings of Lambda functions, which include its core settings and also other settings, such as security and network.
There is also another alternative to creating and deploying Lambda functions, which is the AWS Serverless Application Model (AWS SAM). This format is based on the concept of infrastructure as code. This concept is inspired by AWS CloudFormation, which is a form of infrastructure as code.
We will be learning about AWS CloudFormation and using that knowledge to understand and build AWS SAM models for creating...
