Skip to content

GCP Project Proposal#

Introduction#

This proposal outlines the process of creating a new Google Cloud Platform (GCP) project, selecting the required services, and estimating costs. The document will also provide official GCP links for each service to help project members explore details and pricing.

Project Objectives#

  • Set up a scalable GCP environment to support data processing, ML training, and web deployment.

  • Select appropriate GCP services based on project needs.

  • Estimate costs for each service using GCP Pricing Calculator.

  • Optimize resource allocation to stay within budget.

Getting Started with GCP Project#

To create a new project in GCP:

  1. Go to GCP Console

  2. Click “Select a Project” → “New Project”

  3. Enter:

    • Project Name → e.g., aircheck

    • Organization → Your organization name (if any)

    • Billing Account → Link a billing account

  4. Enable required APIs (e.g., GCS bucket, BigQuery, Dataproc, etc.)

  5. Set up IAM roles for team members.

Detailed GCP Documentation

Please refer to the official documentation for detailed information: GCP Create Project Documentation

Estimating GCP Costs#

GCP provides a Pricing Calculator to estimate project costs based on resource usage.

Steps to Estimate Costs#

  1. Open GCP Pricing Calculator

  2. Select the required services (e.g., Cloud Storage, Compute Engine, BigQuery, Dataproc)

  3. Enter expected usage details:

    • Region

    • Location

    • Storage class

    • Total amount of storage

  4. You can add additional services by clicking “Add to Estimate” and selecting the required services.

  5. Download the cost estimate as a PDF for reporting.

Example Cost Estimation

Service Resource Type Monthly Estimate Annual Estimate
Vertex AI 4 vCPUs, 16GB RAM, 50 hrs $200 $2,400
Dataproc 3 nodes, 4 vCPUs each $300 $3,600
BigQuery 1 TB storage, 50GB queries $50 $600
GCS 500GB storage $20 $240
Cloud Run 1 instance, 10k requests $15 $180
Total — $585 $7,020

Service Selection Strategy#

Before selecting GCP services, follow these steps:

  1. Identify the Use Case → e.g., data processing, ML model training, hosting dashboards.

  2. Map Required Services → Choose GCP products based on needs.

  3. Check Pricing → Use the GCP pricing calculator for initial estimates.

  4. Optimize Costs → Use autoscaling, serverless options, and resource quotas to avoid overuse.

  5. Monitor Spending → Set up GCP Budgets & Alerts to track costs.

Useful References#

Next Steps#

  • Finalize required GCP services based on the project architecture.

  • Use GCP Pricing Calculator to finalize detailed cost estimates.

  • Set up billing alerts and budgets to control costs.

  • Document the infrastructure plan for future scaling.