The document provides an overview of AWS serverless architecture and its core concepts. It discusses AWS Lambda for running code without servers, AWS API Gateway for creating APIs, and AWS DynamoDB for storing data. It also covers how to integrate Lambda with API Gateway by creating REST APIs with resources and methods that execute Lambda functions in response to events. A demo is included on integrating Lambda with API Gateway.

1. AWS Serverless Architecture
Genese Software Solution

2. Scope
● Introduction to AWS Serverless Architecture
● Core Concepts of AWS Serverless Architecture
● AWS Services for Serverless Architecture
○ AWS Lambda
○ AWS API Gateway
○ AWS Dynamodb
● Demo(Lab)

3. AWS Serverless: Introduction and Overview
● The Serverless Framework helps us to deploy and develop our AWS Lambda Functions, along with
the AWS infrastructure resources they requires.
● AWS Lambda is a compute service that lets us to run code without provisioning or managing
servers.
● Serverless Framework is different from other application frameworks because:
○ It manages our code as well as our infrastructure
○ It supports multiple languages (Node.js, python, java, Go, .NET, Ruby)

4. AWS Serverless: Core Concepts
● Functions:
○ It’s merely code, deployed in the cloud, that is most often written to perform a single job such as:
■ Saving an information in database
■ Performing a scheduled task
● Events:
○ Anything that triggers an AWS Lambda Function to execute is regarded by framework as an Event. Events
can be:
■ An AWS API Gateway HTTP endpoint request (e.g., for a REST API)
■ An AWS S3 bucket upload
● Resources
○ Resources are AWS infrastructure components which our Functions use such as:
■ An AWS DynamoDB Table (e.g., for saving Users data)
■ An AWS S3 Bucket (e.g., for saving images)

5. AWS Lambda
● Run code without provisioning or managing servers.
● Executes our code only when needed and scales automatically.
● Currently supports six languages ( Python, Node.js, .NET, Go, Java and Ruby).
● Runs based on scheduled as well as real time events in AWS environment.
● By using versioning, we can manage our in-production function code in AWS Lambda better. When
we use versioning in AWS Lambda, we can publish one or more versions of our lambda function.

6. AWS API Gateway
● Create, publish, maintain, monitor and secure our own APIs at any scale.
● Benefits:
○ Supports for stateful(websocket) and stateless(REST) APIs.
○ Integration with AWS Services such as Lambda, Amazon Kinesis.
○ Ability to authorize access to our APIs by using IAM role/policies, Cognito Pools.
● Using API Gateway to create REST APIs:
○ An API Gateway REST API is made up of resource and methods.
○ A resource is a logical entity that an app can access thorugh a resource path.
○ A method corresponds to a REST API request that is submitted by the user of our API and the response
returned to the user.

7. AWS DynamoDB
● Amazon DynamoDB is a managed NoSQL database service that provides fast and predictable
performance with seamless scalability.
● DynamoDB lets us offload the administrative burdens of operating and scaling a distributed
database, so that we don’t have to worry about hardware setup, configuration, patching etc.
● With DynamoDB, we can create database tables that can store and retrieve any amount of data,
and serve any level of request traffic.
● We can scale up or scale down our tables' throughput capacity without downtime or performance
degradation.

8. Demo: Integrating Lambda with API
Gateway