This new capability includes options for analyzing day-of-week and day-of-month activity level patterns for any selected historical period including the last quarter, the last year, or even several years of operational history. This is enhanced through CiRBA’s underlying flexibility in gathering data, which includes support for CiRBA-supplied instrumentation, as well as importing of existing data from sources such as MS MOM, Perfmon, SAR, Compuware Vantage, HP Measureware, BMC and others.and now that automation of "virtualization vendor selection tool":
“Currently data center managers or management software use short-term utilization trends to make decisions on where to place resources,” said Andrew Hillier, CiRBA Co-Founder and CTO. “Proactive Resource Placement enables organizations to leverage historical data to prepare for changes in workloads in advance. This enables optimal decisions about where to place important resources to maximize utilization and performance throughout the data center.”
CiRBA’s virtualization analytics software enables these complex decisions to be based on empirical analysis of the best fit between the unique attributes of each virtualization technology and the unique technical and non-technical considerations associated with an IT environment that impact the success and efficiency of virtualization deployments.
”There are new virtualization technologies entering the market on a weekly basis, and given the relative strengths and weaknesses of each solution there is not one ‘best’ virtualization solution,” says Andrew Hillier, Co-founder and CTO at CiRBA. “This is comparable to the fact that there has never been one ‘best’ hardware platform to use across a data center. Every IT environment has technical and non-technical attributes that make it better suited to a particular virtualization strategy, and the challenge is to find that strategy.”
4.5 enhancement press release here and the vendor selection optimization here