Egregious Cloud fees and a library solution
RStor enables a highly scalable avenue without rising costs that allows media companies to act swiftly with content deployment and data analysis.
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An enterprise with multiple cloud vendors is known as a multi-cloud environment. Multiple compute options encourage agility and data potential for the end-user. IBM is reinforcing a multi-cloud world by partnering with Silicon Valley startup, RStor.
The natural progression of commerce and technology have led to a multi-cloud environment. Much like the internet replacing client-server computing. Consumers demand flexible options.
By using IBM’s Spectrum Scale offering (a software-defined storage solution) the startup transfers and stores files between vendors. This layer of cloud computing enables frictionless data migration. RStor eliminates variable costs accrued from managing data in the cloud.
To analogize the retrieval of data, take a library scenario.
Moving data in and out
A library can be found on nearly every academic campus. The building hosts hundreds of resources at the student’s disposal. All that’s needed to walk out with an arm full of books is a library card. The alternative option, a book store (yes, they still exist) burdens the purchase of each book desired.
While selecting each resource in the library, a student needn’t worry of the aggregate price. Contrasting the hesitation of the book store shopper paying for each text. The library champions these two options because of the flexibility and predictability for the end-user.
Hidden costs in the cloud
Enterprise companies interact with their data in a similar way. Cloud Service Providers (CSP’s) host the information on their servers. This lifts the burden of physically storing the data in a company managed data center. Retrieval of the data is a bit more complicated than picking a book off a shelf.
Charges for data usage are collected by CSP’s for access, egress, and expedited retrieval. Replication, API and direct connect charges also add to the monthly fee on a per-gigabyte basis. Variable fees for an enterprise accessing terabytes of data face escalating fees. The nature of the variability blurs anticipated costs. Adding difficulty to planning and budgeting for a business.
Egress fee’s alone (taking data out) can amount to 19% of a cloud service bill. To capitalize on a multi-cloud environment requires an agile, flexible, and seamless vessel. Carrying the information from Cloud X to Cloud Y without hidden fees hindering both pocket and timeline.
RStor: Simple, Scalable, Seamless
The RStor multi-cloud platform enables the migration of data without variable cost. Allowing enterprises to leverage native cloud applications with agility and predictability. RStor provides an agnostic layer of management to multiple cloud systems. RWave, the fabric connector, acts to bridge together CSP’s, accelerating data migration without egress or ingress variable charges. information from data centers across the world travel on the RWave connector.
In the Media & Entertainment industry cloud usage is increasingly derived from the edge. The edge is the end-user tapping into the cloud from an internet connection.
Streaming options accumulate millions of data points – which require input/output for analysis and storage. RStor enables a highly scalable avenue without rising costs. Allowing media companies to act swiftly with content deployment and data analysis to better the customer experience.
An agnostic layer to the cloud embodies the perceived freedom of a multi-cloud environment. RStor provides the alchemic migration of data between CSP’s with predictability by using IBM’s systems software solution. The cooperation makes cloud computing more fluid for the customer.
Vendor-lock hinders large data sets from moving to a more economical option. RStor will burden the cost of your migration.
See it in action.
RStor’s fast access and lightning-quick geo-dispersed storage distribution provides faster workflows and disaster recovery at some of the lowest price points in the industry.Request Demo