Hardware Refresh

Hardware refresh is a necessary and ongoing process within data centers. However, upgrades have a negative impact on utilization rates as new hardware typically offers increased capacity.

CiRBA analyzes environments to reveal the impact of new hardware options on utilization rates, enabling organizations to examine various options for further consolidation and the composition of virtualized infrastructure to ensure efficiencies are maximized and risk is managed. CiRBA provides approximately 400 hardware models so you can quickly and accurately evaluate alternatives before you buy.

Gain Control over Purchase Decisions with Empirical Analysis to Avoid Over-Provisioning

Many organizations have let purchase decisions be guided by hardware and software vendors seeking to maximize revenues and have ended up significantly over-provisioned. CiRBA analysis provides a vendor-neutral view of your environment so you can determine whether existing hardware will meet your needs or which new hardware platform is best and how much hardware you actually require.

CiRBA also enables you to explore alternate scenarios quickly and easily so you can investigate opportunities that you may have not previously been able to consider. Using CiRBA’s consideration of these varying characteristics and quartile-based utilization analysis, organizations can evaluate the benefits of designing virtualized infrastructure on any platform, including mainframes, according to financial objectives, workload personalities, risk tolerance, service level agreements and performance requirements.

Factoring in Power Consumption

Accurate power consumption tracking is critical in selecting the best course of action to minimize consumption and carbon footprint. CiRBA analyzes both measured and estimated power draw for individual IT systems, and rolls these measures up to overall utilization, including time-of-day consumption curves for groups of servers and entire data centers. These aggregate rollups are automatically generated for any P2P, P2V and V2V analyses, showing the before and after power consumption for each potential transformation plan.