Controlling Cloud Costs
By keeping object data which is actively used by cloud-based applications in the cloud and storing an entire copy of data on-premises, customers can use their data center infrastructure to store a golden copy of data. This will save on metered cloud costs while continuing to extract maximum value out of their cloud services. When data stored on-prem is needed in any public cloud, customers can populate and synchronize data to the cloud location where it delivers the most business value. When the data is no longer being used in a metered public cloud, the customer can delete the data from that location without incurring egress charges.
As public cloud storage costs add up, customers will often tier their data to Glacier. While this saves money in the immediate term, if that customer wants to repatriate their data back to their active environment (S3 or primary storage), the costs are prohibitive – over $50,000 per petabyte compared to $21,000 a year to leave it in AWS Glacier. This does not include the cost of the target storage, creating a business decision around each access needed into the cold storage, asking if the cost is worth the gain of restoring that data. Vail removes the costly fees associated with large scale restores in the cloud by shifting access to local storage, removing all cloud egress and access charges associated with a traditional cloud workflow, essentially letting AWS Glacier be another disaster recovery copy of your data.
Data Flow vs Metadata Flow
One major benefit of Vail is that data does not flow into and out of the public cloud unless a cloud bucket is specified in the policy as a storage target. If a Vail policy dictates that copies are to be stored and accessible at two different physical sites, then the data movers in each Vail node transfer data directly between those sites and not through the public cloud. This prevents excessive egress charges from cloud vendors and removes an additional network hop.
If a policy requires a copy on a cloud bucket as well, data is always copied directly between nodes and to the cloud bucket. A cloud bucket is never used as a source, and that is the only copy of data available.
This short fun animated video shows how Spectra’s Vail, a distributed multi-cloud software, unifies data to enable on-premises applications and cloud services — no matter where data is created or stored.
Watch how Vail transforms workflows
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