Learn to containerize algorithms deploy to AWS with App Runner / Alfredo Deza, Noah Gift.

Format:

Video

Contributor:

Gift, Noah, presenter.

Pragmatic AI Solutions (Firm), publisher.

Language:

English

Subjects (All):

Cloud computing.

Computer software--Development.

Computer software.

Amazon Web Services (Firm).

Physical Description:

1 online resource (1 video file (1 hr., 15 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Pragmatic AI Solutions, [2022]

Summary:

Learn to build greedy algorithms, then convert them to microservices and finally containerized them and deploy to AWS with App Runner. 00:00 Intro 00:38 Github Code Repo of Traveling Salesman Problem 02:00 Overview of Cities in Problem 04:50 Launching Github Codespaces to work on problem 06:30 Cleaning up the code and fixing Makefile and Lint 09:30 Running simulations and minimizing the cost 14:00 Pinning version numbers in requirements.txt 16:00 Setup Github Actions 19:00 Fixing Python Black error 21:32 Create Github Actions Status Badge 25:00 Creating FastAPI Microservice 28:00 Building Greedy Coin Change Microservice 36:00 Deploying Python FastAPI Microservice to AWS with App Runner 46:00 Theory of logic to containerization 51:00 Building Containerized C# Service in AWS Cloud9 and App Runner 01:03:44 Testing via Curl in AWS CloudShell 01:06:00 Building Containerized FastAPI Service in AWS Cloud9 and App Runner 01:11:03 Pushing to Amazon ECR 01:14:00 Testing via FastAPI App Runner API with Swagger UI.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1302662450

Publisher Number:

02202022VIDEOPAIML