Building Modern Python Applications on AWS

About this Course

In modern cloud native application development, it’s often times the goal to build out serverless architectures that are scalable, are highly available, and are fully managed. This mean, less operational overhead for you and your business, and more focusing on the applications and business specific projects that differentiate you in your marketplace. In this course, we will be covering how to build a modern, greenfield serverless backend on AWS. Building brand new applications on AWS is a different task than lifting and shifting existing applications into AWS. When you have an existing application that you need to move to AWS, you might first look to using Amazon EC2 as your virtual machines, or maybe you might look into using docker containers and container hosting services like Amazon Elastic Container Service or Amazon Elastic Kubernetes Service. Those are all great application hosting options, but in most cases, they still require you to have some kind of pulse on the underlying infrastructure hosting your application. In this class, we will explore how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless compute, and Amazon Cognito for serverless authentication. We will follow an API driven development process and first mock up what the API will look like. We will cover all the ins and outs of the service Amazon API Gateway, and as you’ll learn- it does a lot more than just hosting an API. Then we will add authentication to the API using Amazon Cognito. You’ll learn about how the authorization flow works with cognito, and how to build it into your APIs. From there, we will add a Lambda backend that will be triggered by API Gateway. The lambda functions will be using the AWS SDKs to perform various data processing tasks. You’ll learn about the different configurations that exist for Lambda, and we will show you how to create and manage lambda functions. Some of the features of our API will require multiple lambda functions to execute in a specific order, like a workflow, and we will use AWS Step Functions to create a serverless workflow. Finally, we will talk about how to optimize your APIs at every layer using AWS features.

Created by: Amazon Web Services

Level: Introductory


Related Online Courses

As a freelance developer, you are regularly building various software solutions for your customers. Recently, you received a request to create a pet adoption app on AWS. Because of a tight deadline... more
Computing involves processing information. In order to be processed, information must be represented in such a way that it can be manipulated by a machine ubiquitous in today’s society - the c... more
Code and run your first C++ program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just C++, but... more
With today's increasing challenges of dealing with more aggressive and persistent threat actors, while also being inundated with information that is full of misinformation and false flags across... more
Within this course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL