Google Cloud Capacity Planner

Overview

Google Cloud Capacity Planner is a cloud service for monitoring and forecasting resource use within Google Cloud. It is best suited to teams planning capacity for Compute Engine and related services; its focused forecasts and quota tools are useful, but Preview terms and gaps in coverage narrow its role.

It covers Compute Engine instances, Persistent Disk and Hyperdisk volumes, GPUs, TPUs, and Cloud Storage bucket egress bandwidth. Historical usage reaches back up to two years, forecasts extend up to six months, and historical forecast snapshots cover up to one year. Usage is sampled every five minutes and displayed within 24 hours, while Overview insights update at least every 48 hours. That cadence supports periodic planning, not immediate operational response.

Capacity Planner is in Preview under Pre-GA terms, is provided as is, and may have limited support. It is available only to eligible organizations; some may need to request access through a technical account manager or Google Cloud sales. A Google Cloud project is required, and Google Cloud IAM permissions, including the Capacity Planner Viewer role, control viewing access.

Key features

Usage views and forecasts

Compute usage can be viewed at P50, P75, and P99 percentiles, letting teams examine different levels of observed demand. Cloud Storage bucket usage is available only at P100. Forecasts combine linear and superlinear models, and add yearly seasonality for scopes with at least two years of usage history. The six-month horizon is useful for near-term capacity planning, but it is not a long-range forecasting tool.

Forecasts are unavailable for Spot VMs and Cloud Storage buckets, and Cloud Storage bucket history does not extend before December 1, 2025. These exclusions matter for teams whose planning depends on those workloads; the tool cannot serve as a complete forecast across all covered resource types.

Quota and reservation workflows

The quota adjuster can automatically submit quota increase requests when a project approaches a limit, provided there is sufficient usage data and the resource is supported. This can reduce manual monitoring for eligible workloads, but it is not a blanket mechanism for every quota or project.

Future reservation requests can provide high-level capacity assurance for Compute Engine instances or GPUs. Approval comes with a firm cost obligation: the requested resources must be paid for throughout the full reservation period, whether used or not. Teams should weigh that commitment against the value of assured capacity.

Exports and API access

Usage and forecast data can be exported as CSV or, through the REST API, to Cloud Storage or BigQuery. The API provides programmatic access at project, folder, and organization scopes, making it suitable for teams that need to incorporate planner data into broader workflows.

Pricing

Capacity Planner: free, with no additional cost for using the product. The plan requires a Google Cloud project and is limited to eligible organizations during Preview. Google Cloud resources used with Capacity Planner remain separately billable, so free access to the planner does not make the underlying infrastructure free.

There are no paid tiers or trial terms to compare. The practical trade-off is free planning functionality against Preview availability and support constraints, plus the separate charges for resources and any approved reservations.

Platforms

Capacity Planner is a cloud deployment with web and API access. It fits teams working in Google Cloud and offers programmatic access, rather than a standalone desktop or mobile planning environment.

Who it's for

Choose Capacity Planner if your organization already uses Google Cloud and needs short-term visibility into supported compute, storage, accelerator, or quota needs without paying an additional product fee. It is most compelling for teams that can work within its six-month forecast window, use IAM to govern access, and accept Preview-level support.

Look elsewhere if you need forecasts for Spot VMs or Cloud Storage buckets, immediate data freshness, broad multi-cloud planning, or dependable general availability. Reservation requests also suit only teams prepared to pay for the full term even when reserved capacity goes unused.

Pros and cons

• Pro: No additional cost for the planner makes it a low-cost way for eligible Google Cloud teams to review usage and forecasts; resource charges still apply separately.
• Pro: Percentile views, seasonality for sufficiently long histories, exports, and scoped API access support varied planning workflows.
• Pro: Automated quota increase requests can help when supported resources approach limits and usage data is sufficient.
• Con: Preview status, eligibility restrictions, and potentially limited support make it a less secure choice for critical planning dependencies.
• Con: Forecast exclusions for Spot VMs and Cloud Storage buckets, along with the bucket-history cutoff, leave meaningful coverage gaps.
• Con: Data display can lag sampling by up to 24 hours, and approved capacity reservations commit the buyer to full-period charges regardless of use.

Alternatives

IT Capacity Management Software is a useful starting point for comparing tools across the wider category.

• IBM Capacity Management Analytics is a paid alternative with Linux, macOS, self-hosted, web, and Windows platforms; its 2.1.1 plan has distributed-platforms or z/OS editions, with IBM Tivoli Decision Support for z/OS included in the latter.
• Rocket EDX is a paid option on API, Linux, web, and Windows, with variable-usage or fixed-price subscription terms.
• ITRS Capacity Planner is a paid alternative with Android, iOS, Linux, web, and Windows platforms.
• Hyperview may suit readers who want a free trial: it offers 30 days with all features and no credit card required, alongside an annual paid plan, and supports web, mobile, API, Linux, and Windows.
• Infovista VistaPlan is a paid alternative with API, Linux, web, and Windows platforms.
• Syncsort Capacity Management is a paid alternative for web and Windows.
• Algomox ITMox is a paid web-based alternative.
• CenterOS Capacity Management is a paid web-based alternative.

Verdict

Google Cloud Capacity Planner is a sensible choice for eligible Google Cloud teams that want no-additional-cost, short-term usage and quota planning across supported resources. Its forecasts, exports, and quota automation provide practical value, but Preview support, incomplete forecast coverage, and the financial commitment attached to approved reservations make it a poor fit as a universal or mission-critical capacity system.