Export data to a Cloud Storage bucket or BigQuery table
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This document explains how to export usage and forecast data of the resources in
your project, folder, or organization to a Cloud Storage bucket or
BigQuery table. To export this data as a CSV file to your local
workstation, see instead
Export data to your local workstation.
You can use the Capacity Planner API to export usage data to a
Cloud Storage bucket or a BigQuery table for the
following resources:
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-12 UTC."],[[["The Capacity Planner API allows you to export usage and forecast data for Compute Engine resources, including VM instances, Persistent Disk volumes, GPUs, and Reservations."],["This API is currently in private preview and is subject to the Pre-GA Offerings Terms, meaning it is available \"as is\" with potentially limited support."],["You can export data to either a Cloud Storage bucket or a BigQuery table, to allow for future capacity needs planning and the analysis of trends in usage."],["Access to the Capacity Planner API and its user guide requires membership in capacity-planner-api-users@googlegroups.com; contact your Technical Account Manager or the Sales team for further information."],["The option is also available to export Compute Engine resource usage and forecast data as a CSV file to a local workstation using the Google Cloud console."]]],[]]
