Ultimate Guide to Deploying Flask to AWS

Learn to deploy Flask applications to AWS Cloud with both Traditional EC2 and Serverless Architectures

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Ultimate Guide to Deploying Flask to AWS

What You Will Learn!

Flask deployments from simple to robust and highly scalable architectures
AWS CLI
AWS Developer Tools: CodePipeline, CodeDeploy, CodeCommit
AWS Auto Scaling and Load Balancing
AWS RDS (PostgreSQL)
AWS IAM
AWS S3
AWS EC2
Lets Encrypt
AWS Certificate Manager
AWS Route 53
AWS Lambda
AWS Api Gateway
AWS DynamoDB
AWS Serverless Application Model

Description

In this course you will learn how to deploy Python based Flask applications to the AWS Cloud using both traditional EC2 Virtual Private Servers (VPS) along with the ever increasingly popular Serverless method using Fully Managed AWS service offerings. In the sections on traditional Server based EC2 deployments I present professional grade, open source, and battle tested technologies such as Nginx web server, uWSGI Python application server, and PostgreSQL database. For server based deployment methods I cover a variety of architectures ranging from the simple all-in-one monolith EC2 architecture to more distributed approaches with RDS (PostgreSQL) Instances, and Auto Scaling Groups of EC2 Application servers sitting behind Elastic Load Balancers. For Serverless deployments I utilize the AWS Serverless Application Model (SAM) using AWS API Gateway, AWS Lambda and AWS DynamoDB managed services to build a microservices like REST API. This course covers the most common, industry leading, methods of architecting and deploying Python based Flask applications utilizing the AWS Cloud in ways that are fault tolerant, cost effective, and scalable. The skills demonstrated in this course should leave the learner able to bring their Python Flask apps to life in the AWS Cloud where limitless potential for innovation can unleashed to provide value and excitement to users at web scale.