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ECX | Whitepapers | IBM | April 2016

Copy Data Management for a Hybrid Cloud

Technology validation shows how customers can drive dramatic CapEx and OpEx savings by leveraging hybrid cloud for automated disaster recovery. Using the Cloud for disaster recovery doesn’t have to be complicated or expensive. This technical validation white paper shows how by combining IBM Spectrum Virtualize storage, IBM SoftLayer Cloud and Catalogic ECX, you can easily deploy a totally automated disaster recovery infrastructure that can be as much as three times less expensive than manual solutions. Full TCO details are included. 

Executive Summary

What if you could super charge your organization’s existing infrastructure? What if you could automate critical business operations such as disaster recovery, test/dev, DevOps and reporting/analytics? What if you could accelerate your competitive advantage while cutting both CapEx and OpEx? All of this is available to you by taking advantage of IBM Cloud’s SoftLayer infrastructure and Catalogic ECX copy data management software.

Speeding time to market, increasing reliability and simplifying operations are long standing IT goals, and the cloud promises to deliver on all of them. However, the challenge has been how to automate and orchestrate existing business processes to take advantage of nearly limitless cloud-scale compute power without overloading staff or busting budgets.

Organizations now have a clear path to these goals by deploying Catalogic ECX software in conjunction with IBM Spectrum Virtualize™ software, the IBM Storwize® family of storage systems and the SoftLayer cloud. 

The technology validation effort presented in this paper shows how an organization can save more than three times the hard costs and hundreds of hours of IT time automating their disaster recovery (DR) processes to take advantage of the hybrid cloud. Further, by running the DR testing daily, the user can be assured of a far more robust DR strategy. The surprising simplicity of this effort shows how the same operational model can apply for additional use cases such as DevOps and business reporting/analytics.

The result: easier data access, improved data availability, increased competitive advantage and lower CapEx and OpEx.