Does it support serverless optimization?

Absolutely. It provides configuration patterns for Cloud Run to minimize cold starts while capping costs through autoscaling limits and CPU throttling.

How does this skill help with expiring GCP credits?

It provides a burn strategy to calculate required daily spend and identifies high-value tasks like ML training or dataset generation to ensure expiring credits create lasting value.

Can it find hidden costs in my GCP project?

Yes, it includes specific gcloud commands to locate unused disks, reserved but unattached IP addresses, and idle VMs that are still incurring charges.

Is this skill compatible with BigQuery?

Yes, it offers strategies for BigQuery cost control, including setting maximum bytes billed and implementing table partitioning to significantly reduce query costs.

GCP Resource Optimizer

Name: GCP Resource Optimizer
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Cloud Infrastructure

Optimizes Google Cloud Platform resource allocation and credit usage to minimize costs and maximize architectural efficiency.

This skill empowers developers and DevOps engineers to manage GCP costs effectively through strategic credit burn planning and resource right-sizing. It provides actionable gcloud commands and configuration patterns for optimizing Compute Engine, Cloud Run, BigQuery, and Cloud Storage, while helping identify unused resources like orphaned disks or static IPs. Whether you are managing a limited startup credit pool or enterprise-scale deployments, this skill provides the specific technical guidance and architectural best practices needed to ensure every dollar spent on Google Cloud delivers maximum value.

Key Features

012 GitHub stars

02Compute Engine right-sizing recommendations and Spot VM implementation

03Automated identification of unused disks, reserved IPs, and idle VMs

04Serverless-first architecture designs to minimize idle resource costs

05Cloud Storage lifecycle management and BigQuery cost control patterns

06Strategic credit expiration planning and burn rate calculation

Use Cases

01Auditing and cleaning up orphaned resources to reduce monthly cloud spend

02Maximizing value from expiring GCP startup or trial credits

03Configuring cost-effective serverless environments for development and production

Key Features

012 GitHub stars

02Compute Engine right-sizing recommendations and Spot VM implementation

03Automated identification of unused disks, reserved IPs, and idle VMs

04Serverless-first architecture designs to minimize idle resource costs

05Cloud Storage lifecycle management and BigQuery cost control patterns

06Strategic credit expiration planning and burn rate calculation

Use Cases

01Auditing and cleaning up orphaned resources to reduce monthly cloud spend

02Maximizing value from expiring GCP startup or trial credits

03Configuring cost-effective serverless environments for development and production