Use Case: Customer is using the cloud and wants to manage cloud storage cost

Vail enables public cloud customers to seamlessly extend their public cloud to their data center by managing object storage in multiple locations under a single, policy-based management structure. By keeping object data which is actively used by cloud-based applications and storing other data on-prem, customers can use their datacenter infrastructure to store a perpetual copy of data to 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 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 a Glacier-like tier of public cloud storage. While this saves money in the immediate term, if that customer wants to repatriate their data back to their own premise or to another cloud, 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 on premise and makes a business case to bring data back on-prem challenging.

Vail Use Case – Government Agency

The Goal:
To find a way to collect globally dispersed data into a central repository where a supercomputer can perform analytics and generate results. Once results are generated, they must be shared with other departments and users.

The Challenge:
Remote offices and remote collection sites were unable to connect to a central location to transfer data, causing delays and other challenges of transferring data. Once results were generated, the public cloud was used to distribute the data. This resulted in unplanned egress and out-charges with the public cloud and alternatives needed to be evaluate.

The Solution:
With Vail, this government agency was able to implement an end-to-end data management and delivery service that allows data collection from instruments and contributors from all over the world using a combination of edge, core and cloud computing locations. In addition, they can store data in AWS and on on-premises according to a policy defined to meet service levels that match the value of the data over time, while managing access costs to adhere to the needs of the data consumers and their budget resources.

Lastly, Vail is ab le to keep historic data in a multi-site, durable, accessible, and affordable datastore. Any dataset can be accessed in minutes while only paying storage costs.

With Vail, this agency is able to leverage any combination of public clouds and on-on-premises datastores. They are able to choose the storage tier that matches the value of their data and response time needed for any point in time access to the data. This happens while managing the data based on the elasticity and reliability of AWS cloud services.

Read the USGS White Paper >

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