How to Deploy a Python Flask App with Google Cloud Platform (GCP) on a Virtual Machine

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How to Deploy a Python Flask App with Google Cloud Platform (GCP) on a Virtual Machine Using GitHub, Nginx, and Gunicorn

Are you ready to take your Python Flask app live on Google Cloud Platform (GCP)? In this step-by-step tutorial, we’ll walk you through the entire process of deploying a Flask application on a Virtual Machine (VM) using GitHub, Nginx, and Gunicorn. Whether you're a beginner or an experienced developer, this guide covers all the essentials to ensure your app runs smoothly in a production environment.

### **What You’ll Learn in This Video**
1️⃣ **Setting Up a Virtual Machine on GCP:** Learn how to create and configure a VM instance in Google Cloud Platform tailored for hosting your Flask app.
2️⃣ **Installing Required Dependencies:** Discover how to set up Python, Flask, and other necessary tools on your VM.
3️⃣ **Using GitHub for Deployment:** See how to clone your repository from GitHub to streamline the deployment process.
4️⃣ **Setting Up Gunicorn:** Find out how to use Gunicorn as your WSGI server for serving the Flask app.
5️⃣ **Configuring Nginx as a Reverse Proxy:** Learn how to set up Nginx to handle requests efficiently and securely.
6️⃣ **Testing and Finalizing the Setup:** Validate your deployment to ensure everything works perfectly.

### **Why Watch This Video?**
Deploying a Flask app can seem daunting, but we’ve broken it down into manageable steps that anyone can follow. This guide is ideal for developers looking to move their projects from local development to a scalable cloud environment. Plus, we’ll share tips to avoid common pitfalls during deployment.

### **Resources Mentioned:**

### **Don’t Forget to Subscribe!**
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### **Hashtags:**
#Python #Flask #GoogleCloud #GCP #WebDevelopment #CloudComputing #Gunicorn #Nginx #GitHub #ProgrammingTutorials #FlaskDeployment #VirtualMachine

Get started now and take your Flask app to the next level! 🚀
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That's cool but flask app with web sockets struggles at time of deployment.

handle_gc
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