Reduce Cloud’s Highly Redundant Data
Storage is the foundation of cloud services. All cloud services – delineated as scalable, elastic, on-demand, and self-service – begin with storage. Almost universally, cloud storage services are virtualized and hybrid cloud architectures that combine on-premise resources with colocation, private and public clouds result in highly redundant data environments. IDC’s FutureScape report finds “Over 80% of enterprise IT organizations will commit to hybrid cloud architectures, encompassing multiple public cloud services, as well as private clouds, community clouds, hosted clouds, and/or non-cloud infrastructure resources, by the end of 2017.” (IDC 259840) IDC’s 2016 Cloudview survey of 6,159 individuals in companies found 60% of IT believe cloud will drive down the cost of IT operations.
Cloud services expectation for high availability make cloud storage services critically important. Depending on a single cloud storage provider for storage services can risk SLAs. Consider the widespread AWS S3 storage errors that occurred on February 28th. As a result of this risk more enterprises will pursue Cloud-of-Clouds strategies where added data redundancy is introduced as data is replicated among multiple cloud storage providers to marginalize the risk of data loss. Many people learned the importance of a Cloud-of-Clouds strategy yesterday. Cloud-of-Clouds replication increases storage capacity consumption and cost as data is redundantly distributed across multiple clouds.
Data reduction can dramatically reduce capacity and cost and streamline data replication as well as reduce bandwidth consumption and associated costs in hybrid cloud environments. In previous blogs we’ve covered the economics of data reduction in public and private cloud. In hybrid clouds data reduction multiplies capacity and cost savings. As an example, in my blog February 14th, I noted that for 1 PB, with data reduction the cost of hardware and software is cut to $176,667 resulting in $883,333 in savings as a result of deploying data reduction over five years. If that PB is replicated in 3 different clouds, the savings would be multiplied by 3 for a total savings of $2,649,999.
The need for data redundancy in high availability clouds, increases the financial benefits of data reduction, 2, 3, 4 or more times. It’s simple math.