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Solution guide: Archive your cold data to Google Cloud Storage with Komprise

March 30, 2017
Manvinder Singh

Director, IaaS/PaaS Partnerships, Google Cloud

More than 56% of enterprises have more than half a petabyte of inactive data but this “cold” data often lives on expensive primary storage platforms. Google Cloud Storage provides an opportunity to store this data cost-effectively and achieve significant savings, but storage and IT admins often face the challenge of how to identify cold data and move it non-disruptively.

Komprise, a Google Cloud technology partner, provides software that analyzes data across NFS and SMB/CIFS storage to identify inactive/cold data, and moves the data transparently to Cloud Storage, which can help to cut costs significantly. Working with Komprise, we’ve prepared a full tutorial guide that describes how customers can understand data usage and growth in their storage environment, get a customized ROI analysis and move this data to Cloud Storage based on specific policies.


Cloud Storage provides excellent options to customers looking to store infrequently accessed data at low cost using Nearline or Coldline storage tiers. If and when access to this data is needed, there are no access time penalties; the data is available almost immediately. In addition, built-in object-level lifecycle management in Cloud Storage reduces the burden for admins by enabling policy-based movement of data across storage classes. With Komprise, customers can bring lifecycle management to their on-premise primary storage platforms and seamlessly move this data to the Cloud. Komprise deploys in under 15 minutes, works across NFS, SMB/CIFS and object storage without any storage agents, adapts to file-system and network loads to run non-intrusively in the background and scales out on-demand.

Teams can get started through this self-service tutorial or watch this on-demand webinar featuring Komprise’ COO Krishna Subramanian and Google Cloud Storage Product Manager Ben Chong. As always, don’t hesitate to reach out to us to explore which enterprise workloads make the most sense for your cloud initiatives.

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