Architecting Python Microservices in AWS with ECS & App Mesh

About Architecting Python Microservices in AWS with ECS & App Mesh

In this course learners will be taken on a journey to learn the fundamental principles of what a microservice architecture is and how to build, deploy and operate Python based microservices in the AWS Cloud. This course provides a balance of theory covering key aspects of each major technology or cloud architecture component followed by practical code demonstrations deployed as working examples in the AWS Cloud. The technologies covered, along with a brief summary of why they have been selected, are listed below.

Python was selected as the language due to its ease of use, succinct readability, and high popularity among software engineers today

AWS Elastic Container Service (ECS) was selected as a Container Orchestration technology because of its simple abstractions, especially when ran on Fargate, for managing containers yet remain scalable and robust enough for enterprise workloads

App Mesh was selected because its a robust service mesh based on the open source Envoy Proxy for enhanced microservice networking delivered as a fully manged implementation by AWS alleviating the need to provision and maintain a service mesh control plane

AWS Cloud Development Kit was selected because of its modern approach to Infrastructure as Code with intuitive object oriented library design and availability in Python alleviating the burden of context switching between app code and deploy code languages

Code Pipeline was selected as a Continuous Delivery orchestrator pipeline due to its nearly hands free administration qualities along with tight integration with AWS Cloud Development Kit and GitHub

GitHub is used for version control and Continuous Integration capabilities with CodePipeline

Amazon Cognito for securing FastAPI microservices with OAuth and SaaS based user management