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Furthermore , the software offers invaluable tools such as what-if analysis , allowing you to simulate projects and assess the impact of new equipment or configuration changes on rack space and power capacity . Intelligent capacity search also enables swift identification of optimal cabinets for deploying new equipment thereby streamlining the reservation process . Correlated capacity reporting provides a holistic view of rack capacity in 2D or 3D , highlighting underutilised resources and informing strategic decisions for workload redistribution . Zero-configuration analytics offer pre-configured dashboards for real-time capacity monitoring and built-in power chain intelligence , ensuring a clear understanding of power load and capacity at every stage in the chain and enabling the seamless deployment of additional equipment without the risk of tripping breakers upstream .
3 . Reduced energy consumption
To achieve carbon neutrality , you will need to significantly decrease how much energy your data centres consume . DCIM software provides insights that empower you to implement measures that will increase energy efficiency and align your operations with your sustainability goals . potential issues and prevent equipment damage and energy inefficiency .
2 . More efficient facilities
Recovering stranded capacity and getting the most out of your existing facilities drives sustainability by reducing resource waste and deferring expansions . Building and maintaining a data centre is energy intensive . Building your next data centre potentially provides a significant reduction in your overall carbon footprint . DCIM software offers a multifaceted approach to optimise resource utilisation , employing cutting-edge features for enhanced efficiency .
The Auto Power Budget , a Machine Learning algorithm , facilitates automatic device power budgeting . By leveraging live data from outlet-metered intelligent rack PDUs , it precisely calculates power budgets for each server based on actual loads . Comcast experienced a 40 % boost in utilisation by implementing this feature , as showcased in a compelling case study .
DCIM software serves as a vital tool in enhancing energy efficiency within data centres . One significant impact lies in adjusting temperature set points , a measure proven to curtail energy consumption . Through meticulous temperature monitoring and comprehensive cooling charts , the software identifies cabinets exceeding recommended guidelines . By safely raising temperatures to align with actual needs , it minimises energy waste substantially . Additionally , the software aids in identifying and decommissioning idle servers , presenting a built-in report listing potential ghost servers based on power consumption . This not only saves energy but also frees up space for new services or improved airflow .
Moreover , DCIM software contributes to optimising private clouds and virtual environments . Integration with VMware automates virtual machine management and enhances efficiency . The software ’ s out-of-thebox VMware connector simplifies setup , allowing users to map virtual machines to energy-efficient physical hosts . This information empowers strategic placement , enables the relocation of virtual instances to the most efficient servers and thereby reduces overall energy consumption . Furthermore , the software promotes efficient practices through energy cost reports , facilitating a clear understanding of consumption by data centre , customer , service or application . This data can be utilised to generate precise bill-back reports ,
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