The goal of this project was to design a scalable, secure infrastructure on Google Cloud Platform (GCP) that could support seamless communication between virtual machines (VMs) across multiple regions. The challenge was to ensure both the flexibility of the system and the security of the connections between these VMs.

To start, I used Terraform to automate the provisioning of VM instances across different GCP regions and zones. This made it easy to scale the infrastructure as needed. The next key step was ensuring secure communication between the VMs, which was achieved by configuring WireGuard VPN using Ansible. This ensured that all VMs could communicate securely and reliably.

A major security concern was IP address rotation. Instead of using static IPs, I created a Bash script to randomly rotate IP addresses, enhancing security. To automate the entire process, I developed a Python script to dynamically update the Ansible inventory based on Terraform’s output, ensuring that all configurations stayed synchronized.

The biggest challenge was managing configurations across multiple regions while ensuring that the VMs could securely communicate. The solution was a combination of automation tools—Terraform for provisioning, Ansible for configuration, and Python for dynamic inventory updates. Additionally, the IP rotation script was crucial for preventing security breaches.

By using Terraform, Ansible, and Python, I successfully built a scalable, secure infrastructure on GCP. The project included:

Scalable Infrastructure: Automated provisioning of VMs across GCP regions.

Secure Communication: WireGuard VPN for encrypted communication.

Dynamic IP Rotation: Bash script for random IP address rotation.

Automated Configuration: Python script for updating Ansible inventories.

I also created sample videos showing how the system worked, including the IP address rotation process.