username

aws_access_key_id

aws_secret_access_key

aws_region

Github_Token

domain

Git_username

local.tar.gz

NodeHelloWorld

NodePackageChange

NodeGithub

InfrastructureAsCode

ADCodebuildGithub

AutomaticDeployments1

AutomaticDeployments2

LoadBalancing1

Scaling1

Production1

CustomDomain1

Https1

NetworkSecurity1

NodeGithub-copy

AutomaticDeployments1-copy

Production1-copy

CustomDomain1-copy

Https1-copy

NetworkSecurity1-copy

This is not your typical AWS reference course. You won’t find most of the knowledge that's shared here in the AWS docs. The goal here is to help you realize which AWS features you’d be foolish not to use — features that have passed the test of time by being at the backbone of most things on the Internet.

In this course, you'll learn a technique used to help make reliable technical choices without getting paralyzed in the face of so many options. You’ll start by going through the most fundamental services AWS offers such as DynamoDB, S3, EC2. Each section breaks down how it’s used, the pros and cons, why you should (or shouldn't) be using it, and more.

This course was written by a former Amazon engineer with 15 years of experience working on AWS.

The Good Parts of AWS: Cutting Through the Clutter

## Code runner in the cloud

If EC2 is a complete computer in the cloud, Lambda is a code runner in the cloud. With EC2 you get an operating system, a file system, access to the server’s hardware, etc. But with Lambda, you just upload some code and Amazon runs it for you. The beauty of Lambda is:
- It’s the simplest way to run code in the cloud. 
- It abstracts away everything except for a function interface, which you get to fill in with the code you want to run.

Lambda service as a code runner in the cloud or a plugin service for other AWS services is discussed in this lesson together with our rule of thumb in using Lambda service.

Compute: Lambda

Before Getting Started

Part 1: The Good Parts

Part 2: The Bootstrap Guide

Host Our Application on EC2 Instance

Infrastructure as Code

Automatic Deployments: Create a CI/CD Pipeline

Load Balancing: Add an Application Load Balancer

Scaling: Add an Auto Scaling Group

Conclusion

Compute: Lambda