Architecting Python Microservices in AWS with ECS & App Mesh

Name: Architecting Python Microservices in AWS with ECS & App Mesh
Rating: 4.4 (19 reviews)

Learn to build and deploy Python microservices in AWS with FastAPI, CDK, Fargate/ECS, App Mesh, Cognito, CodePipeline

Created byAdam McQuistan

Last updated 11/2022

English

What you'll learn

Cloud Microservices Architecture
AWS Cloud Development Kit (CDK)
Fargate Serverless Container Compute Engine
Elastic Container Registry (ECR)
Elastic Container Service (ECS)
App Mesh
FastAPI Python Framework
AWS Distro for Open Telemetry in Python
AWS CodePipeline
Domain Driven Design
Amazon Cognito

Course content

9 sections • 76 lectures • 6h 44m total length

Introduction0:42
Course Outline3:00
About Instructor2:11

Section Introduction1:58
What are Microservices?4:19
Microservices are small, autonomous units built around business capabilities and deployed via automated pipelines. They rely on bounded contexts, domain-focused design, strict contracts, and decoupled configuration, with telemetry for operations.
Domain Driven Design1:19
Ubiquitous Language1:53
Bounded Contexts2:07
Context Maps1:29
Domain Model2:23
Domain Aggregate2:11
Domain Events3:22
Hexagonal Architecture in Software Design5:23
Communication Styles, Events, and Coupling Between Bounded Contexts7:10
Command Query Responsibility Segregation (CQRS)5:18
Microservices Discovery and Design

Section Introduction0:56
Geographic Architecture and Infrastructure1:49
Explore the geographic infrastructure of cloud, detailing regions and availability zones, how regions host multiple data centers for performance and regulatory needs, and how zones ensure redundancy for high availability.
Diagramming Geographic Architecture1:40
Show how to diagram geographic architecture by depicting regions and availability zones within an outer bounding box, using the US east region Ohio as an example and labeling zones.
Networking Architecture and Infrastructure5:10
Explore VPC design with public and private subnets, internet gateways, and NAT or Transit gateways. Learn how network ACLs, security groups, and elastic load balancers secure and scale AWS microservices.
Diagramming Networking Architecture4:16
Diagram the network architecture with a region and a VPC spanning two availability zones, four subnets (public, private) linked by route tables, NAT gateways, and a load balancer.
Geographic and Network Infrastructure Components

Section Introduction1:29
Defining Infrastructure as Code2:50
Cloud Development Kit1:50
Explore the cloud development kit, an AWS abstraction over CloudFormation that lets you define infrastructure in familiar languages like Python, JavaScript, and Go, reducing context switching.
CDK CLI and Constructs Library1:56
CDK Construct Types2:50
AWS IaC Abstractions Hierarchy4:34
Hello API Demo App Overview and Installing AWS CDK6:23
Deploy Hello API Demo App with CDK24:05
Recap of Deployed Hello API CDK App5:10
Cleanup Hello API CDK App0:55
Clean up after deploying the hello api cdk app by running 'cdcc destroy all' to remove infrastructure and minimize charges, then take a short break as the next lecture begins.
Infrastructure as Code and CDK

Section Introduction0:50
Defining Continuous Integration and Continuous Delivery0:57
AWS Developer Tools Overview1:11
GitHub AWS Code Pipeline Integration (GitHub and Dev Tools Connection)3:41
Launch a hands-on integration of GitHub with AWS CodePipeline, creating a private repository, connecting it to AWS developer tools, and wiring a feature branch and PR to deploy.
GitHub AWS Code Pipeline Integration (Updating Local Code with Remote Repo)4:49
integrate GitHub with an AWS code pipeline by updating your local Python project, applying a Python gitignore, setting main, pushing to origin, and creating an initial setup feature branch.
GitHub AWS Code Pipeline Integration (Coding the Pipeline with CDK)15:09
GitHub AWS Code Pipeline Integration (Initial Deploy Overview in AWS Console)1:30
GitHub AWS Code Pipeline Integration (Update Infra Stack & Deploy HelloApi)15:41
GitHub AWS Code Pipeline Integration (Overview)0:41
Introducing IaC Unittests to CDK Project and CodePipeline8:34
Continuous Integration and Continuous Delivery

Section Introduction1:05
Elastic Container Registry (ECR)0:53
Overview of Docker Container Concepts1:56
Explore how a Docker file defines the runtime environment, builds immutable container images from a base image, runs containers via an OCI-compliant runtime, and uses registries with security scanning.
Dockerfile Example3:42
Building and Tagging Containers7:34
Manually Publishing Images to ECR7:36
Walk-through of CDK Managing Images with ECR5:27
CDK automates building a Docker image from a directory with a Dockerfile, pushes it to ACR, and binds the image to the ECS task definition for a Fargate service.
Container Image Management

Section Introduction1:30
Container Orchestration1:38
Fargate1:40
Overview of Elastic Container Service (ECS)2:59
Review the Cloud Architecture to be Deployed2:23
Introducing Add Numbers REST API Demo App10:20
Introduce a FastAPI based add numbers rest API that sums a list of numbers via /add, with health check, configurable settings, and unit tests.
Develop Custom Microservice CDK Construct for Add Numbers App18:10
CDK & Code Pipeline Troubleshooting with CDK Context4:50
Understand how the CDK context json caches metadata for lookups like VPC and the application load balancer, and how refreshing the context fixes deployment errors after stack changes.
Deploy Custom Microservice CDK Construct for Add Nums Service10:27
Review of Cloud Architecture with Auto Scaling10:20
Develop & Deploy Auto Scaling Capabilities for Custom Microservice Construct11:16
Container Orchestration and ECS

Section Introduction2:03
Defining Service Mesh1:22
Service Mesh as a Enhanced Logical Network for Microservices3:47
Overview of App Mesh Components7:01
Architecture Design for App Mesh Enhanced ECS Microservice CDK Construct8:37
Walk-through of App Mesh Enhanced ECS Microservice CDK Construct22:34
Troubleshooting Mesh Refactor Deploy with CDK and CodePipeline3:20
Walk-through & Deploy of Remaining Calculator Microservices IaC9:47
Key Components of Observability: Logging, Metrics, Tracing2:26
Implement and Deploy AWS Distro of OpenTelemetry for Python17:42
Deploy the AWS distro of OpenTelemetry for Python and enable auto instrumentation to emit traces and metrics, using Envoy and hotel collector sidecars for full observability.
App Mesh and Observability

Section Introduction0:33
Authentication Key Concepts8:44
Learn core authentication concepts, including OAuth, tokens, and authorization flows, with JWTs, client credentials, and resource servers in a practical AWS microservices context.
Introducing Amazon Cognito2:00
Cognito Authentication Architecture Overview4:49
Cognito CDK Code Walk-through8:32
Cognito Domain Troubleshooting9:51
Troubleshoot Cognito domain issues, validate JWT tokens, and configure OAuth 2.0 authentication for microservices by wiring Cognito user pools, app clients, and resource servers.
Cognito Deploy Overview and Testing Authentication with Postman9:51
FastAPI Resource Server Code Walk-through14:24
Same code project as attached to the lecture "Cognito CDK Code Walk-Through"
OAuth Security and Amazon Cognito

Requirements

Proficiency in programming with Python
Previous experience in AWS Cloud
Docker Installed on Learners Development Machine
AWS CLI Installed on Learners Development Machine
Python Installed on Learners Development Machine
NodeJS Installed on Learners Development Machine

Description

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

Who this course is for:

This course is intended for Software Engineers who wish to learn how to design, build, deploy and operate Python microservices in the AWS Cloud

Architecting Python Microservices in AWS with ECS & App Mesh

What you'll learn

Explore related topics

Course content

Introduction3 lectures • 6min

Microservice Concepts and Design Techniques12 lectures • 39min

AWS Geographic and Networking Infrastructure Overview5 lectures • 14min

Infrastructure as Code with AWS Cloud Development Kit (CDK)10 lectures • 52min

Continuous Integration and Continuous Delivery in AWS10 lectures • 53min

Image Management with Elastic Container Registry (ECR)7 lectures • 28min

Container Orchestration with Fargate and Elastic Container Service (ECS)11 lectures • 1hr 16min

Enhancing Observability and Reliability with AWS App Mesh10 lectures • 1hr 19min

Securing Microservices with Amazon Cognito8 lectures • 59min

Requirements

Description

Who this course is for: