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Intro

Github Code Repo of Traveling Salesman Problem

Overview of Cities in Problem

Launching Github Codespaces to work on problem

Cleaning up the code and fixing Makefile and Lint

Running simulations and minimizing the cost

Pinning version numbers in requirements.txt

Setup Github Actions

Fixing Python Black error

Create Github Actions Status Badge

Creating FastAPI Microservice

Building Greedy Coin Change Microservice

Deploying Python FastAPI Microservice to AWS with App Runner

Theory of logic to containerization

Building Containerized C# Service in AWS Cloud9 and App Runner

Testing via Curl in AWS CloudShell

Building Containerized FastAPI Service in AWS Cloud9 and App Runner

Pushing to Amazon ECR

Testing via FastAPI App Runner API with Swagger UI

Description:

Dive into a comprehensive tutorial on containerizing algorithms and deploying them to AWS with App Runner. Learn to build greedy algorithms, convert them to microservices, and containerize them. Follow along as the instructor guides you through solving the Traveling Salesman Problem, setting up GitHub Actions, creating FastAPI microservices, and deploying to AWS. Gain hands-on experience with AWS Cloud9, Amazon ECR, and App Runner while working with both Python and C# services. Master essential DevOps skills including code cleaning, linting, version pinning, and testing with Curl and Swagger UI.

Learn to Containerize Algorithms and Deploy to AWS with App Runner

Pragmatic AI Labs

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#Programming #Cloud Computing #Amazon Web Services (AWS) #Programming Languages #C Programming #Microservices #Amazon Elastic Container Registry (ECR) #Computer Science #DevOps #CI/CD #GitHub Actions #Python #FastAPI #Software Development #Software Testing #API Testing

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