Name: Fast Start Python Serverless Apps with AWS and Terraform
Rating: 4.0 (17 reviews)

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Created byTony Truong

Last updated 12/2019

English

What you'll learn

Serverless Framework in Python
Infrastructure as code with Terraform and AWS as the provider
OAuth2.0 Authentication using Cognito (Code and Implicit flows)
AWS Networking for Serverless (VPC, Subnets, NATs, VPC Endpoint)
Websockets
DynamoDB

Course content

7 sections • 16 lectures • 1h 48m total length

Introduction1:08
Introduce myself and what the course is about
Course Progression and Architecture2:07
Lay out what the architecture progression looks like throughout the course.

Serverless Framework YAML abstractions and common configs4:34
Start abstracting and splitting up yaml configurations that would get too big as development goes on. Serverless specific yaml configurations will be explained and we also take care of API gateway default error responses to be CORS compatible.
Creating RESTful API functions9:19
Split up the functions and enable a RESTful API. Implement REST with Python specific naming and coding conventions. Python modules are used properly and we have ways to execute the functions locally. We also implement a common reusable API response module. Finally common deployment errors are demonstrated.
Initial Look at AWS Console Resources4:49
Log into the AWS console and take a look at what was deployed in the default serverless configuration so that we know how we can improve upon it later.

Creating VPCs and Subnets - Networking for Lambdas15:58
Use Terraform standard practice to create a more isolated environment for our lambda functions. The back end code also gets an update to work in tandem with the infrastructure code.
Terraform Apply and what gets created on AWS5:20
Do a Terraform apply and have a look at what resources get generated on AWS.
Update back end to use new infrastructure6:33
Update the Serverless code to use the new VPC and private Subnets then take a look in the AWS console to see the delta between the new infrastructure and default one.

Creating an AWS Cognito User Pool in Terraform17:16
Dive into more Terraform code to create a User Pool and one app client for the backend.
Bearer Authentication for the back end9:48
Update the backend code for Bearer Authentication and common utilities for verifying a JWT. The Lambda function gets locked down and an execution policy gets generated on successful auth.
Look at AWS Resources for the User Pool and begin authentication code flow6:00
Look through AWS console on the User pool to confirm our Terraform code outputs. We also leverage the AWS hosted UI to go through the OAuth authentication code flow and retrieve the OAuth code.
Complete Implicit Grant flow2:01
Go through a complete Implicit grant flow and retrieve the access token to make an authenticated CURL call to our Lambda function.

Requirements

Basic understanding of programming concepts
Basic understanding of public cloud concepts

Description

This course takes you through building Serverless applications quickly and securely on Amazon Web Services by leveraging:

- Terraform for infrastructure code

- Serverless Framework (Python) for quickly deploying and structuring our code (REST & Websockets)

We go beyond the defaults and will construct infrastructure as code and create our own VPCs, Subnets and tackle OAuth2.0 authentication.

By the end of the course, you should be able to comfortably understand how to create a REST and websocket application from scratch and leverage the boilerplate to start generating business value immediately.

The course does require a high quality connection to get 1080p viewing due to font sizes in code. I've made the entire course downloadable in case you are on a slower connection so you can watch offline! Ensure that you set your quality level to "Auto" to get the best resolution possible.

Update: I no longer maintain this course and the code may be out of date. I've made it free so that others can learn some concepts and hopefully gain something from it. All the best on your learning adventures! Some other infra as code tools you can look at include:
- Pulumi -- Pulumi also comes with a copilot AI and really helps streamline the infra code writing!

- Various CDKs for their respective cloud providers

Who this course is for:

Junior to Senior Software Developers/Engineers

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 3min

First Steps2 lectures • 8min

Restructuring into Scalable Code3 lectures • 19min

Infrastructure as Code with Terraform3 lectures • 28min

Authentication with AWS Cognito4 lectures • 35min

Websockets1 lecture • 8min

Final Thoughts and Thanks1 lecture • 4min

Requirements

Description

Who this course is for: