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YouTube

Learn to Containerize Algorithms and Deploy to AWS with App Runner

Pragmatic AI Labs via YouTube

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Overview

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.

Syllabus

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

Taught by

Pragmatic AI Labs

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