Architecting Python Microservices in AWS with ECS & App Mesh

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Adam McQuistan

5:46:06

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1. Introduction

1. Introduction.mp4

00:42

2. Course Outline.mp4

03:00

3. About Instructor.mp4

02:11

2. Microservice Concepts and Design Techniques

1. Section Introduction.mp4

01:58

2. What are Microservices.mp4

04:19

3. Domain Driven Design.mp4

01:19

4. Ubiquitous Language.mp4

01:53

5. Bounded Contexts.mp4

02:07

6. Context Maps.mp4

01:29

7. Domain Model.mp4

02:23

8. Domain Aggregate.mp4

02:11

9. Domain Events.mp4

03:22

10. Hexagonal Architecture in Software Design.mp4

05:23

11. Communication Styles, Events, and Coupling Between Bounded Contexts.mp4

07:10

12. Command Query Responsibility Segregation (CQRS).mp4

05:18

13. Microservices Discovery and Design.html

3. AWS Geographic and Networking Infrastructure Overview

1. Section Introduction.mp4

00:56

2. Geographic Architecture and Infrastructure.mp4

01:49

3. Diagramming Geographic Architecture.mp4

01:40

4. Networking Architecture and Infrastructure.mp4

05:10

5. Diagramming Networking Architecture.mp4

04:16

6. Geographic and Network Infrastructure Components.html

4. Infrastructure as Code with AWS Cloud Development Kit (CDK)

1. Section Introduction.mp4

01:29

2. Defining Infrastructure as Code.mp4

02:50

3. Cloud Development Kit.mp4

01:50

4. CDK CLI and Constructs Library.mp4

01:56

5. CDK Construct Types.mp4

02:50

6. AWS IaC Abstractions Hierarchy.mp4

04:34

7.1 hello_api.zip

7. Hello API Demo App Overview and Installing AWS CDK.mp4

06:23

8.1 hello-api-cdk-project.zip

8. Deploy Hello API Demo App with CDK.mp4

24:05

9. Recap of Deployed Hello API CDK App.mp4

05:10

10. Cleanup Hello API CDK App.mp4

00:55

11. Infrastructure as Code and CDK.html

5. Continuous Integration and Continuous Delivery in AWS

1. Section Introduction.mp4

00:50

2. Defining Continuous Integration and Continuous Delivery.mp4

00:57

3. AWS Developer Tools Overview.mp4

01:11

4. GitHub AWS Code Pipeline Integration (GitHub and Dev Tools Connection).mp4

03:41

5.1 python-ecs-course.zip

5. GitHub AWS Code Pipeline Integration (Updating Local Code with Remote Repo).mp4

04:49

6.1 python-ecs-course.zip

6. GitHub AWS Code Pipeline Integration (Coding the Pipeline with CDK).mp4

15:09

7. GitHub AWS Code Pipeline Integration (Initial Deploy Overview in AWS Console).mp4

01:30

8.1 python-ecs-course.zip

8. GitHub AWS Code Pipeline Integration (Update Infra Stack & Deploy HelloApi).mp4

15:41

9. GitHub AWS Code Pipeline Integration (Overview).mp4

00:41

10.1 python-ecs-course.zip

10. Introducing IaC Unittests to CDK Project and CodePipeline.mp4

08:34

11. Continuous Integration and Continuous Delivery.html

6. Image Management with Elastic Container Registry (ECR)

1. Section Introduction.mp4

01:05

2. Elastic Container Registry (ECR).mp4

00:53

3. Overview of Docker Container Concepts.mp4

01:56

4. Dockerfile Example.mp4

03:42

5. Building and Tagging Containers.mp4

07:34

6. Manually Publishing Images to ECR.mp4

07:36

7.1 python-ecs-course.zip

7. Walk Through of CDK Managing Images with ECR.mp4

05:27

8. Container Image Management.html

7. Container Orchestration with Fargate and Elastic Container Service (ECS)

1. Section Introduction.mp4

01:30

2. Container Orchestration.mp4

01:38

3. Fargate.mp4

01:40

4. Overview of Elastic Container Service (ECS).mp4

02:59

5. Review the Cloud Architecture to be Deployed.mp4

02:23

6.1 add_nums.zip

6. Introducing Add Numbers REST API Demo App.mp4

10:20

7.1 python-ecs-course.zip

7. Develop Custom Microservice CDK Constrict for Add Numbers App.mp4

18:10

8. CDK & Code Pipeline Troubleshooting with CDK Context.mp4

04:50

9. Deploy Custom Microservice CDK Construct for Add Nums Service.mp4

10:27

10. Review of Cloud Architecture with Auto Scaling.mp4

10:20

11.1 python-ecs-course.zip

11. Develop & Deploy Auto Scaling Capabilities for Custom Microservice Construct.mp4

11:16

12. Container Orchestration and ECS.html

8. Enhancing Observability and Reliability with AWS App Mesh

1. Section Introduction.mp4

02:03

2. Defining Service Mesh.mp4

01:22

3. Service Mesh as a Enhanced Logical Network for Microservices.mp4

03:47

4. Overview of App Mesh Components.mp4

07:01

5. Architecture Design for App Mesh Enhanced ECS Microservice CDK Construct.mp4

08:37

6.1 python-ecs-course.zip

6. Code Walk-thru of App Mesh Enhanced ECS Microservice CDK Construct.mp4

22:34

7. Troubleshooting Mesh Refactor Deploy with CDK and CodePipeline.mp4

03:20

8.1 python-ecs-course.zip

8. Walk-thru & Deploy of Remaining Calculator Microservices IaC.mp4

09:47

9. Key Components of Observability Logging, Metrics, Tracing.mp4

02:26

10.1 python-ecs-course.zip

10. Implement and Deploy AWS Distro of OpenTelemetry for Python.mp4

17:42

11. App Mesh and Observability.html

Description

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

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

Who is this 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

More details

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 AWSÂ 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 AWSÂ 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
AWSÂ 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
AWSÂ 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
CodeÂ Pipeline was selected asÂ a Continuous Delivery orchestrator pipeline due to its nearly hands free administration qualities along with tight integration with AWSÂ 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

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Experienced Software Engineer with a demonstrated history of working across several industries and is an AWS Certified Data Analytics Specialist along with an AWS Certified Solutions Architect Associate. Skilled in Python, JavaScript, Java, and Data Analytics. Passionate about building data driven software along with cloud computing to solve challenging problems with potentially huge impact. I also write frequently about these topics on my blog The Coding Interface which I built from scratch using Python and the Django web framework.

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