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Capacity Planner - Capacity Forecasting for Compute Resources

Capacity Planner shows current and forecasted usage of VM instances, Persistent Disk volumes and GPUs across a project, folder or organization. The service is in Preview.

Management
Pricing Model According to the documentation there is no additional cost for using Capacity Planner; you pay only for the underlying resources such as Compute Engine, Cloud Storage and BigQuery
Availability Preview
Data Sovereignty Analysis at project, folder or organization level; data export to Cloud Storage or BigQuery in the selected region
Reliability Preview: provided under the Pre-GA Offerings Terms, available as is and possibly with limited support SLA

What is Capacity Planner?

According to the documentation, Capacity Planner provides visibility into the current and forecasted usage of the virtual machine instances, Persistent Disk volumes and GPUs in your project, folder or organization. The service is in Preview and subject to the Pre-GA Offerings Terms.

Core Features

  • Monitors current usage of compute resources across project, folder and organization level
  • Forecasts future consumption of VMs, storage and accelerators
  • Quota Adjuster for automatic quota increase requests
  • Exports usage data to a local workstation, Cloud Storage or BigQuery
  • Historical snapshots for comparing past predictions against actual usage
  • Access through the Google Cloud console, API, client libraries and gcloud CLI

Typical Use Cases

Capacity planning: Future compute demand is estimated from historical usage.

Avoiding quota limits: The Quota Adjuster requests increases before limits are reached.

Forecast transparency: Historical snapshots show how well past predictions matched actual usage.

Benefits

  • No additional cost for using the service
  • Forecasts with explicit probability intervals
  • Analysis across project, folder and organization level
  • Data export to BigQuery for custom analysis

Integration with innFactory

As a certified Google Cloud Partner, innFactory supports you with Capacity Planner: setting up permissions, interpreting the prediction intervals, and establishing a regular capacity and quota review based on the exported data.

Typical Use Cases

Forecasting demand for compute capacity
Preventing outages through timely quota increases
Assessing forecast accuracy via historical snapshots
Exporting usage data for further analysis

Technical Specifications

Export Export to a local workstation, Cloud Storage buckets or BigQuery tables
Forecasting Combines linear and superlinear models with yearly seasonality for projects with two or more years of data; prediction intervals at P25-P75 (50% probability) and P05-P95 (90% probability)
Iam Capacity Planner Viewer role (roles/capacityplanner.viewer) for read access
Interfaces Google Cloud console, API, client libraries, gcloud CLI
Quota adjuster Automatic quota increase requests to prevent outages
Resources Compute Engine instances, Persistent Disk and Hyperdisk volumes, GPUs, TPUs, Cloud Storage buckets

Frequently Asked Questions

What is Capacity Planner?

According to the documentation, Capacity Planner provides visibility into the current and forecasted usage of the virtual machine instances, Persistent Disk volumes and GPUs in your project, folder or organization.

Which resources are covered?

The documentation lists Compute Engine instances, Persistent Disk and Hyperdisk volumes, GPUs, TPUs and Cloud Storage buckets.

How are forecasts produced?

According to the documentation, the system combines linear and superlinear models with yearly seasonality effects for projects with two or more years of data. Prediction intervals are given at P25-P75 (50% probability) and P05-P95 (90% probability).

What is the maturity level of Capacity Planner?

The service is in Preview and subject to the Pre-GA Offerings Terms. It is available as is and might have limited support.

What does Capacity Planner cost?

According to the documentation, there is no additional cost for using Capacity Planner. You pay only for the underlying resources created, such as Compute Engine, Cloud Storage or BigQuery.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.

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innFactory is a certified Google Cloud Partner. We provide expert consulting, implementation, and managed services.

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