Serverless Docker-based Python Application on Google Cloud

Serverless Docker-based Python Application on Google Cloud, available at $54.99, has an average rating of 4.54, with 38 lectures, based on 474 reviews, and has 21410 subscribers.

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

Enroll now: Serverless Docker-based Python Application on Google Cloud

Summary

Title: Serverless Docker-based Python Application on Google Cloud

Price: $54.99

Average Rating: 4.54

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will 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 theyre 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.

Who Should Attend

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

Target Audiences

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

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 FastAPI

Writing a basic automated test to ensure our app is working as needed

Prepare and learn about a Dockerfile before building a container

Building a Docker container locally

Running a custom Docker image (container) locally

Push our code to GitHub

Leverage GitHub Actions to perform CI/CD workflows

Using Github Actions to build and push our Docker container to Google Cloud

Use Google Cloud Secrets manager within our Python app

Update Secrets in Github Actions as needed

Deploy our app continuously on Google Cloud Run

Course was completely revamped and released on Feb 15th, 2023

Course Curriculum

Chapter 1: Welcome

Lecture 1: Welcome

Lecture 2: Walkthrough & Demo

Lecture 3: Requirements

Chapter 2: Installations

Lecture 1: Download & Install Google Cloud CLI

Lecture 2: Install Docker

Chapter 3: Python Project Setup

Lecture 1: Setup the Python Virtual Environment

Lecture 2: Hello World with FastAPI

Lecture 3: Environment Variables with python-decouple

Lecture 4: Shortcut Running Commands with rav

Lecture 5: Test Code using FastAPI and PyTest

Chapter 4: Docker and Containerizing Python Apps

Lecture 1: Your First Dockerfile

Lecture 2: The Dockerfile Entrypoint Script

Lecture 3: Build your First Container Image

Lecture 4: Verify Files & Build the Project Docker Container

Lecture 5: Running your Docker Container Locally

Chapter 5: Containers & Google Cloud

Lecture 1: Build & Push to Google Cloud Artifact Registry

Lecture 2: Deploy Container to Cloud Run

Chapter 6: CI/CD with GitHub & GitHub Actions

Lecture 1: Test & Build Code with GitHub Actions

Lecture 2: Prepare GitHub Action for GCloud Service Account

Lecture 3: Service Accounts for Github Actions

Chapter 7: Google Cloud Secrets Manager

Lecture 1: Google Cloud Secrets Manager

Lecture 2: Verify Secrets Cloud Secrets Manager with Python

Lecture 3: Update python-decouple with GCloud Secrets

Lecture 4: Part 1: GCloud Secrets in GitHub Actions

Lecture 5: GCloud Secrets in GitHub Actions Part 2

Chapter 8: Wrap up section

Lecture 1: Thank you and next steps

Chapter 9: Archived Lessons: 2020 Version of this Course

Lecture 1: Archived Course Message

Lecture 2: Welcome

Lecture 3: Install Google Cloud SDK & CLI

Lecture 4: Install Docker

Lecture 5: Base Python Project Setup

Lecture 6: Create our Dockerfile

Lecture 7: Build & Run our Docker Container

Lecture 8: Build, Tag, and Push via Docker

Lecture 9: Push to GCloud Container Registry

Lecture 10: Build Docker Containers in the Cloud with gcloud build

Lecture 11: Deploy your Container Image to Cloud Run

Lecture 12: Thank you and next steps

Instructors

Justin Mitchel
Coding Entrepreneur & Teacher – 568,000+ Students

Rating Distribution

1 stars: 5 votes

2 stars: 8 votes

3 stars: 58 votes

4 stars: 182 votes

5 stars: 221 votes

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