Analyze Cloud Storage estates with Storage Insights datasets

https://storage.googleapis.com/gweb-cloudblog-publish/images/33_-_Storage__Data_Transfer_QsgjqZW.max-2600x2600.jpg

As enterprise storage footprints scale to billions of objects, AI applications and agentic workloads are fundamentally shifting the role of storage from a passive repository to the foundation of the data platform. This is driven by a surge in unstructured model data and the billions of actions performed on those objects, including session logs and audit trails. To manage this and answer questions about cost, operations, and security, storage and platform admins need to go beyond knowing what data they have, to understanding exactly how it is being accessed, moved, and modified.

To help, we're excited to announce activity insights within Storage Insights datasets. Now generally available, these new views provide visibility into the operational details of your Google Cloud Storage assets, enabling data-driven cost optimization and faster troubleshooting. For example, with activity insights, you can answer questions like:

  • Are my objects located in the right storage classes within...

Copyright of this story solely belongs to google.com. To see the full text click HERE

Read more

https://cdn.mos.cms.futurecdn.net/8i8FJ3ZW2KdH2rrSJdDqkX-1920-80.jpg

'AI tools could lead to nothing less than the death of astrophysics': Researchers predict bleak future for…

* Scientists fear AI dependence could slowly weaken independent astrophysics reasoning and mathematical intuition * Graduate researchers increasingly rely upon AI systems for difficult coding and analytical scientific work * Astronomy journals are struggling with rising volumes of machine-assisted scientific paper submissions AI systems are rapidly transforming astrophysics research, leaving many scientists uncertain