Making the Case for Automated Data Center Tools

Making the Case for Automated Tools in the Data Center

Making the Case for Automated Tools in the Data CenterMaking the Case for Automated Tools in the Data Center

Manual tools are still the tool of choice for data center planning, yet automated tools can help identify problems and understand the costs of power outages.

Data Center Forecasting Is Still ManualData Center Forecasting Is Still Manual

43% of data center managers plan and forecast capacity manually, and one in 10 walk around with tape measures. MS Excel also remains a popular tool.

Automated Tools Considered Too CostlyAutomated Tools Considered Too Costly

Asked why they use manual methods, 46% of respondents say feel alternatives are too expensive. 35% say they lack the resources for an automated approach.

Size Does Not MatterSize Does Not Matter

The manual approach has nothing to do with data center size; the proportion of manual approaches is the same among small and large data centers with over 1,500 servers.

Extent of Capacity Planning and ForecastingExtent of Capacity Planning and Forecasting

56% of manual planters devote 40% of their time to capacity planning and forecasting. This may be why they are locked in a vicious cycle; they neither have the time nor resources to implement DCIM tools.

Cooling EfficiencyCooling Efficiency

63% of respondents use DCIM tools to help optimize cooling efficiency. Other methods used include sensors, spreadsheets and hotspot audits.

Hotspot Audits Suffer Without DCIMsHotspot Audits Suffer Without DCIMs

Respondents who don’t use DCIMs analytics are also less likely than their peers to conduct hotspot audits and are unlikely to perform CFM simulations.

Reliance on Thermal Sensors and SpreadsheetsReliance on Thermal Sensors and Spreadsheets

One in five data centers rely exclusively on rack-level thermal sensors and spreadsheets to maximize cooling efficiency.

Space and Power ConstraintsSpace and Power Constraints

75% of respondents acknowledge floor space constraints and 63% acknowledged power constraints, highlighting the business-critical need to manage resources as efficiently as possible.

Actionable Data LackingActionable Data Lacking

32% of respondents say they lack adequate actionable data to make day-to-day decisions on long-term planning.

OutagesOutages

59% of data center managers can quantify the costs of outages. In contrast, 72% of DCIM users know the cost to their business compared to 14% who do not use DCIM tools.

Average Cost of OutageAverage Cost of Outage

The average cost of an outage among the 118 data centers the survey could quantify was $28,900.

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