Serverless Docker-based Python Application on Google Cloud

via Udemy

Go to Course: https://www.udemy.com/course/serverless-python-applications-on-google-cloud/

Introduction

Certainly! Here's a comprehensive review and recommendation for the course "Deploy a Serverless Python Application with Docker Containers and Google Cloud Run" on Coursera: --- **Course Review: Deploy a Serverless Python Application with Docker Containers and Google Cloud Run** This course provides an in-depth, practical introduction to deploying serverless applications on Google Cloud using Docker containers and Cloud Run. It’s especially suited for developers, DevOps engineers, and enthusiasts interested in modern, scalable, and cost-effective deployment strategies. ### Course Highlights: - **Hands-On Learning:** The course takes a project-based approach, guiding you through creating a FastAPI web app, managing environment variables with python-decouple, and writing automated tests to ensure app stability. - **Docker Skills:** You will learn how to build, run, and push Docker images, which is critical for containerized applications. - **CI/CD Integration:** The course demonstrates how to automate deployments using GitHub Actions, leveraging continuous integration and continuous delivery practices. - **Cloud Integration:** You’ll explore Google Cloud services, including Secrets Manager and Cloud Run, to securely manage secrets and host your serverless applications. - **Real-World Relevance:** The course covers deploying on managed serverless infrastructure, enabling you to scale applications efficiently and cost-effectively, paying only for resources when used. ### Course Content: The curriculum is well-structured, beginning with foundational concepts like creating a FastAPI app and managing environment variables, then progressing through Docker containerization, version control with GitHub, and automation workflows. The inclusion of deploying to Google Cloud Run and managing secrets adds practical, real-world skills. ### Pros: - Up-to-date and revamped as of February 2023, ensuring current best practices. - Clear, step-by-step instructions suitable for learners with basic to intermediate Python and DevOps knowledge. - Emphasis on automation and security best practices. - Relevant for those interested in serverless architecture and cloud-native development. ### Cons: - Assumes some familiarity with Docker and cloud services; beginners may need supplemental materials. - The course is technical and may require hands-on effort to fully grasp some concepts. --- **Recommendation:** If you are looking to expand your cloud deployment skills, particularly with Google Cloud and Docker, this course is highly recommended. It offers practical knowledge with tangible project outcomes, making it ideal for developers eager to implement scalable, cost-efficient, serverless applications. The focus on CI/CD workflows and secret management also prepares you for production-grade deployments, which are crucial for real-world projects. **Overall,** this course is a valuable investment for anyone interested in modern cloud application deployment. It bridges the gap between development and operations, equipping you with skills that are highly relevant in today’s cloud-centric environment. --- Would you like a more personalized recommendation based on your background or specific goals?

Overview

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

Skills

Reviews