AWS + Serverless Framework : Complete Guide

• Log in to AWS: Sign in to your AWS account using your credentials.

• Access the Lambda Service: From the AWS Management Console, navigate to the Lambda service.

• Create Function: Click the "Create Function" button to start the Lambda function creation process.

• Select Author from Scratch or Use a Blueprint: Choose either to create your function from scratch or use a blueprint for a specific use case.

• Configure Function Details: Provide a name, runtime (e.g., Node.js, Python, Java), and optionally, a role for your function.

• Parameterized Lambda functions accept input parameters, enabling dynamic behavior based on the specific data provided during invocation.

• You can customize the function's behavior by passing parameters, allowing for a wide range of use cases and applications.

• By using parameters, you minimize code redundancy and maximize the reusability of your Lambda functions across different scenarios.

• They can be used in a variety of serverless use cases, such as processing HTTP requests, handling IoT data, and more.

1. Prerequisites:

   • Ensure you have Node.js and npm (Node Package Manager) installed on your local machine.

   • Install the AWS CLI if you plan to develop for AWS services.

2. Install the Serverless Framework:

   • Open your terminal or command prompt and run the following command to install the Serverless Framework globally:

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     npm install -g serverless

• AWS Lambda automatically maintains multiple versions of your function as you update it. Each version is identified by an incrementing version number.

• In the event that a new function version introduces unexpected issues or errors in production, you can execute a rollback strategy.

• AWS Lambda provides instantaneous rollback, meaning traffic is immediately redirected to the previous version without downtime.

• When you roll back an alias, AWS Lambda automatically updates the alias to point to the desired function version while preserving the previous versions for future reference.

Lambda triggers are mechanisms that automatically invoke AWS Lambda functions in response to specific events.

• Lambda triggers activate AWS Lambda functions in response to specific events or changes.

• Lambda triggers connect to various AWS services like S3, DynamoDB, API Gateway, and SQS.

• Events can originate from diverse sources such as file uploads, database changes, HTTP requests, and message queues.

• Learn the basics of triggers

• Learn AWS api gateway triggers

• Create Project using AWS API gateway

In this video, you will learn how to create a secure API using AWS services. We will cover three key components:

1. Creating an API with AWS API Gateway and Lambda:

   • Step-by-step instructions on setting up an API Gateway.

   • How to create and configure Lambda functions to handle API requests.

   • Integrating API Gateway with Lambda to process incoming requests and return responses.

2. Creating a Lambda Authorization Function:

   • Explanation of Lambda authorizers and their importance in securing your API.

   • Detailed guide on writing and deploying a custom Lambda authorization function.

   • Testing the Lambda authorizer to ensure it correctly validates and authorizes requests.

3. Attaching Authorization to the API:

   • How to configure API Gateway to use the Lambda authorizer.

   • Setting up authorization scopes and policies to control access to different API endpoints.

   • Verifying the authorization setup to ensure only authorized users can access the API.

Code Link: https://github.com/jhm164/serverless-auth.git
This video provides a comprehensive guide on configuring the serverless.yml file to set up all necessary resources for creating a serverless API with Lambda authorization. We will also cover configuring API Gateway endpoints using the Serverless framework.

By the end of this tutorial, you will have the knowledge to:

1. Configure the serverless.yml file for a serverless API.

2. Set up Lambda functions with authorization.

3. Manage and configure API Gateway endpoints using the Serverless framework.