How to Cut Costs When Migrating to the Cloud

 
 
By Karen A. Frenkel  |  Posted 02-20-2017 Email
 
 
 
 
 
 
 
 
 
 

A statistical analysis of operating system instances—the creation of objects each time a program runs—offers insights into the economics behind cloud migration. The fine-grained, algorithmic analysis attempts to answer questions such as these: Is it more economical to run workloads on-premise or in the cloud? Should companies invest in refreshing their technology or in cloud migration? Often, businesses rely on spreadsheets and high-level financial models to make these decisions. This statistical method, performed by TSO Logic, uses anonymized data that includes hundreds of millions of data points from more than 10,000 servers, including hypervisors and non-hypervisors. There were 25,000 virtual OS instances from which the authors compiled a sample. Other questions addressed were: What is the cost of running OS instances as currently provisioned? How much is each instance used historically? How well do currently provisioned resources match up to utilization? And which of these workloads would be economically more viable in future environments, including cloud or server refresh? Following are the study findings.

 
 
 
 
 
Karen A. Frenkel writes about technology and innovation and lives in New York City.

 
 
 
 
 
 

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