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Google Cloud announces general availability of Storage Intelligence advisor and expands storage batch operations

Google Cloud says Storage Intelligence advisor, which automatically flags unusual cloud storage usage, is now generally available. It has also expanded batch operations with multi-bucket processing, a dry-run mode and advanced filtering. Here is what Google announced and why it matters to teams that store large amounts of data on Google Cloud.

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Google Cloud announces general availability of Storage Intelligence advisor and expands storage batch operations
Image: Mokaair (Original editorial artwork)

What Google announced

Google Cloud announced on its official blog that Storage Intelligence advisor is now generally available, meaning it is a finished feature open to customers. It also expanded storage batch operations, a tool for making the same change to very large numbers of stored files at once. The post is signed by Google product managers Salim Hafid and Himanshu Kohli, and the page is dated September 26, 2026. Google says both features are now available to all Storage Intelligence customers and are part of the Storage Intelligence subscription.

As Google describes it, the two have clearly defined roles. The advisor explains what has changed in the storage environment and how to respond. Batch operations then apply those decisions across millions of objects, the individual files stored in Google Cloud Storage.

Google Cloud announces general availability of Storage Intelligence advisor and expands storage batch operations
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What Storage Intelligence advisor does

Google says that once Storage Intelligence is enabled for an organization, folder or project, charts and findings appear for the buckets in that scope. Buckets are the containers that hold files in Google Cloud Storage. Customers do not need to design schemas, manage data pipelines or assemble dashboards. Each finding is baselined against the project's own activity and metadata and runs on daily snapshots, so an anomaly on a given day surfaces within 24 hours. According to Google, the unusual patterns it looks for include:

  • Spikes in Class A or B operations (categories of requests made against stored data) on Coldline or Archive data, which are Google's cold storage classes. Google notes that cold storage is cheap to store but expensive to access.
  • Spikes in 429 errors, which Google links to request patterns outrunning limits, followed by timeouts
  • Spikes in cross-region data egress, meaning data sent out between regions
  • Total usage above the long-term trend

Google says the advisor can attribute anomalies to the relevant buckets, prefixes (groups of files that share the start of their name) and service accounts (accounts used by software rather than people). It can also point to available controls, such as changing storage classes, enabling Autoclass, or tightening access with Managed Folders. Google also states that over the past 30 days it has generated more than 6,000 findings across hundreds of customers. It adds that the number of customers using Storage Intelligence to analyze datasets of more than 1 billion objects has more than doubled this year.

New batch operations capabilities

Google says batch operations run as a fully managed, serverless service, meaning customers do not have to set up their own computing resources. Progress tracking and automatic retries are built in. The table below summarizes the main additions.

New batch operations features, based on the Google Cloud blog
FeaturePurpose as described by GoogleWhat it means for users
Multi-bucket processingA single job can cover up to 1,000 buckets per projectNo need to repeat jobs bucket by bucket
Dry-run modeSimulates a job and previews the number of affected objects, total size and potential errors before modifying actual dataLowers the risk of accidentally deleting or altering data
Advanced CEL filteringUses Common Expression Language (CEL) conditions on Storage Insights datasets to select objects by storage class, object size, creation date or custom attributesTargets the objects to process more precisely

Google quotes two customers in the post. Charley King, DataOps-DevOps engineer at Shipt (a Target.com subsidiary), says tracking usage and catching anomalies used to require heavy engineering, whereas usage spikes can now be identified instantly through built-in dashboards. Kurtis Nusbaum, senior principal software engineer at Palo Alto Networks, says his team uses storage batch operations to update retention policies across the entire environment on demand. Google chose both quotes for its own post.

What it means for general readers

This update is aimed mainly at businesses and development teams managing large volumes of data on Google Cloud. Everyday consumers will not use it directly. It matters because cloud storage costs and access problems often go unnoticed until the bill arrives. Google claims the advisor can flag anomalies earlier, and batch operations make large-scale fixes easier. For people responsible for cloud costs or data governance, features such as dry-run mode help confirm what a change will affect before it is made.

Frequently asked questions

What is Storage Intelligence advisor?

According to Google, it is a Google Cloud Storage feature that automatically analyzes the storage environment, identifies usage anomalies and optimization opportunities, and explains how to address them, without users having to build their own data pipelines or dashboards.

Who can use these features?

Google says both features are now available to all Storage Intelligence customers and are part of the Storage Intelligence subscription.

How quickly can the advisor detect problems?

Google says the advisor runs on daily snapshots, so an anomaly on a given day surfaces within 24 hours.

What is dry-run mode for?

According to Google, dry-run mode lets users preview the number of affected objects, total size and potential errors before modifying actual data, so they can confirm the impact before making permanent changes.

Can these figures and customer testimonials be trusted?

The usage figures and customer quotes were all published by Google on its official blog and have not been independently verified, so readers should treat them as the company's own claims.

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