Complete GCP Tutorial: Setup VPC, Deploy Python with Docker, Nginx & Load Balancer

In this comprehensive Google Cloud Platform (GCP) tutorial, we cover everything you need to get started with deploying a scalable web application from scratch. Follow along as we guide you through the following steps:

Create a GCP Account: Set up your Google Cloud account to access the platform.
VPC Setup: Learn how to create a Virtual Private Cloud (VPC) for network isolation.
VM Instance Setup: Set up a virtual machine to host your application.
Deploy a Python Project with Docker: Containerize and deploy a simple Python app using Docker.
Install and Configure Nginx: Set up Nginx as a reverse proxy for your app.
Create an Instance Group: Configure an autoscaling instance group for your VMs.
Set Up Load Balancer: Attach your instance group to an HTTP(S) load balancer.
Configure DNS with Load Balancer IP: Connect your domain to the load balancer via DNS providers like Cloudflare.
By the end of this video, you’ll know how to deploy a Dockerized Python project on GCP with a scalable infrastructure and load balancer, perfect for handling production-level traffic. Whether you're new to cloud computing or want to build scalable applications, this tutorial has got you covered.

📌 Timestamps:

0:00 Introduction
1:20 GCP Account Creation
3:45 VPC Setup
6:30 VM Instance Setup
9:50 Deploy Python App with Docker
14:00 Install and Configure Nginx
18:10 Create Instance Group and Configure Scaling
22:30 Set Up Load Balancer
27:15 Connect Load Balancer to DNS (Cloudflare)
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