The rising use of AI is driving up cloud storage prices as enterprises battle to trace what knowledge they’re storing, why it’s stored, and handle it effectively. To assist tackle this, Datadog has launched Storage Administration, now typically out there for Amazon S3 and in preview for Google Cloud Storage and Azure Blob Storage.
The software builds on Datadog’s present cloud price administration capabilities, providing deeper visibility into object storage—the layer the place most AI and analytics knowledge accumulate.
Turning visibility into motion
Datadog’s platform brings collectively price, utilization, and metadata right into a single dashboard, serving to groups see how their storage habits hyperlink to spending. That degree of visibility makes it simpler to identify redundant, short-term, or not often accessed knowledge and apply lifecycle or retention insurance policies accordingly. Automated suggestions can then information customers towards the subsequent step—whether or not that’s archiving previous logs, deleting unused knowledge, or transferring inactive recordsdata to lower-cost storage lessons.
The system additionally displays behaviour throughout billions of objects, flagging sudden progress or uncommon entry exercise. That’s particularly helpful for giant enterprises working multi-cloud environments, the place it’s simple for spending anomalies to go unnoticed throughout accounts and areas. By surfacing these developments early, groups can tackle points earlier than they turn into price range issues.
Nonetheless, visibility alone isn’t sufficient. To show insights into financial savings, organisations want constant knowledge governance and cooperation throughout departments. Finance and IT groups should work collectively to align insurance policies, outline possession, and embed price consciousness into on a regular basis workflows. Integrating insights with present instruments—corresponding to AWS Price Explorer, Azure AI Foundry, or Google Vertex AI—helps preserve a unified view of efficiency and value.
The enterprise case for disciplined storage administration
In line with Datadog, storage and processing now symbolize the third-largest price for corporations constructing AI merchandise—surpassing even mannequin coaching and inference. That’s a wake-up name for CIOs, CFOs, and operations leaders attempting to stability innovation with monetary self-discipline.
Treating storage administration as a steady follow moderately than a one-off train permits organisations to manage prices with out slowing progress. The aim isn’t simply to chop spending, however to make sure that knowledge storage helps each effectivity and governance.
Enterprises that mix automation, shared accountability, and clear visibility into their knowledge will probably be higher geared up to deal with the fast progress that comes with AI adoption.
(Photograph by C Dustin)
See additionally: AI’s influence on cloud options

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