Serverless Docker-Based Python Application On Google Cloud

Learn to Build & Deploy a Python Web Application using Docker, Cloud Build & Cloud Run on the Google Cloud Platform

What you'll learn
Deploying a Serverless Docker-based Python Web Application
Setup the Google Cloud Command Line tool on your system
Build and run Docker containers Locally
Web Application Deployment to Google Cloud
Learn what Serverless Apps app
Deploy to Cloud Run on Google Cloud Platform
Build a Docker Container for Python apps
Learn and understand Docker Containers and Why they're useful
Learn CI/CD Practices with GitHub
Leverage GitHub Actions to automate testing, building, and pushing containers
Use GitHub Actions workflows to manage Google Cloud projects
Implement Google Secret manager and use GitHub as our single source of truth
Learn various Docker and Dockerfile Debugging Techniques.

Requirements
Python is recommended (as in the first 15 days of 30 Days of Python)
Web Application Development (Like our Try Django series)
A willingness to push through the tough parts because the other side is worth it.

Description
Deploy a Serverless Python Application with Docker Containers and Google Cloud Run.Running our apps on managed serverless architectures allows us to focus on our code and deploy more without worrying about the underlying infrastructure. What's better, our serverless applications only cost us money when they're used this is because serverless apps can scale to 0 running instances or scale up as needed.Serverless is great for testing all kinds of app ideas as well as testing various stages of a stable app. Cloud Run is a managed service that unlocks serverless apps for your projects on Google Cloud. It's how we run this website exactly.Cloud Run is a managed Knative offering that runs on Kubernetes so if you're interested in deploying a self-managed Knative service, consider watching my course Try Knative.Here's what we're going to learn in this course:Creating a basic FastAPI web app (in Python)Implement python-decouple to manage environment variables in FastAPIWriting a basic automated test to ensure our app is working as neededPrepare and learn about a Dockerfile before building a containerBuilding a Docker container locallyRunning a custom Docker image (container) locallyPush our code to GitHubLeverage GitHub Actions to perform CI/CD workflowsUsing Github Actions to build and push our Docker container to Google CloudUse Google Cloud Secrets manager within our Python appUpdate Secrets in Github Actions as neededDeploy our app continuously on Google Cloud RunCourse was completely revamped and released on Feb 15th, 2023

Who this course is for:
Students with some Python Experience,Beginner web app developers with an interest in Serverless applications,AWS Lambda users looking to unlock the power of Container-based Serverless Apps,Anyone looking to learn more about Docker Containers and/or Serverless applications,Web developers looking to adopt Google Cloud to run various aspects of their apps,Anyone interested in Knative or Kubernetes but want to start somewhere a little less challenging,DevOps engineers looking to better understand CI/CD with Google Cloud through GitHub Actions