This content originally appeared on DEV Community and was authored by BENEDICT OKAFOR
This comprehensive guide outlines the implementation of a multi-environment web application infrastructure with Auto-Scaling on Google Cloud Platform (GCP).
GCP Services we would be provisioning
References to Google Docs https://cloud.google.com/docs
VPC - Google Cloud Virtual Private Cloud (VPC) provides networking functionality to Compute Engine virtual machine (VM) instances, Google Kubernetes Engine (GKE) containers, and serverless workloads. VPC provides networking for your cloud-based services that is global, scalable, and flexible.
A Virtual Private Cloud (VPC) network is a virtual version of a physical network that is implemented inside of Google's production network. and its associated resources for networking, i.e., LoadBalancer, Internet gateway, security groups, firewalls, etc.
Virtual machine instances: A Compute Engine virtual machine (VM) instance is a virtual machine that is hosted on Google's infrastructure. and its associated resources for computing, i.e., Managed instance Group, Launch Templates, Autoscaling Groups, etc.
Database: Cloud SQL for MySQL is a fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud Platform.
Cloud Monitoring collects metrics, events, and metadata from Google Cloud, synthetic monitors, and application instrumentation. Cloud Monitoring ingests that data and generates insights with dashboards, charts, and alerts. [https://cloud.google.com/stackdriver/docs]
Solution Architecture flow for the project
A[Internet] --> B(Google HTTP(S) Load Balancer (Global))
B --> C(Backend Service (Managed Instance Group))
C --> D(Managed Instance Group (MIG) [Auto-Scaling])
D --> E(VMs in private subnets across zones)
E --> F(Cloud SQL for MySQL (Private IP in the same VPC))
Connect project to GCP
With the Terraform Project setup now to connect your project with your Google Cloud, run gcloud auth login. This should provide your project info then you can set your project with gcloud config set project PROJECT_ID. Alternatively, you can authenticate with gcloud auth application-default login or gcloud auth application-default login --no-browser
Initialize Terraform for dev environment
Terraform plan
output Terraform plan in an output file
terraform plan -out=tfplan This saves the plan in a binary format, and can be directly used with terraform apply to ensure the exact planned changes are applied
To make the file human-readable, you can use terraform show tfplan > tfplan.txt
Initialize Terraform for the prod environment and Terraform plan in an output file
terraform plan -out=tfplan and terraform plan -no-color > output.txt
Create infrastructure
Run terraform apply You might encounter this error message. Follow the URL and enable API & Services for Service Networking API and Compute Engine API
Monitoring on instances
Follow through the official Google Docs to create monitoring and alerting (https://cloud.google.com/logging/docs/logs-based-metrics/charts-and-alerts#alert-on-lbm)
create Logs Alert
From Logs Explorer in the GCP console
Log-based metric alert
Created Database
Managed Instance Group
Load Balancing framework
Switching between instances using the load balancer IP
Terraform Destroy
Have questions? Drop a comment below! 🚀
Also, you could check out the HUG Ibadan Meetup group (https://www.meetup.com/ibadan-hashicorp-user-group/) to stay updated on events.
Terraform HashiCorp DevOps #InfrastructureAsCode CloudComputing
This content originally appeared on DEV Community and was authored by BENEDICT OKAFOR
BENEDICT OKAFOR | Sciencx (2025-08-27T22:22:35+00:00) Multi-Environment GCP Web Application Infrastructure with Auto-Scaling. Retrieved from https://www.scien.cx/2025/08/27/multi-environment-gcp-web-application-infrastructure-with-auto-scaling/
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