- What is data center operational intelligence and why should I care?
- Modius In the News
From the 2011 Uptime Symposium: Advancing Your Data Center Optimization Roadmap
Speaking to a standing-room-only audience at the 2011 Uptime Symposium, Modius CEO Craig Compiano talked about the evolution of data center maturity: keeping pace with business needs. He introduced Modius’ Data Center Optimization Roadmap, which illustrates how optimization capabilities can be logically divided and accomplished in incremental steps. These steps deliver tangible benefits that continue to be leveraged as data center capabilities mature and become more relevant to the enterprise it supports. Read More >
Inquiring Minds: What is data center operational intelligence and why should I care?
What do we mean, exactly, by data center operational intelligence? Modius defines operational intelligence for data centers as a discipline relying on real-time monitoring of resources, processes and activities as they are executed within the data center, e.g., performance metrics. According to The 451 Group’s recent Data Center Infrastructure Management (DCIM) Software report, Modius’ OpenData software delivers operational intelligence by taking “data in a range of formats, even securely from multiple data centers, which can then be used to drive dashboards and reports. It recently introduced technology to send control data back to certain devices, enabling the data center’s use of cooling and energy to be optimized.” Why is this important? This information helps data center managers improve decision making, cut costs, and identify ways to improve infrastructure throughput and capacity. And, by integrating data center operational intelligence with business intelligence, the enterprise at large will have a more complete picture of the truce cost of doing business.
Following are two dashboards representing data center operational intelligence.
Example: PUE Dashboard
Example: Track Energy by Customer
Tip: Data center operators and managers are familiar with the “alphabet soup” of data center performance metrics: PUE, pPUE, CUE, ARC, etc. Although these metrics are useful to facilities and IT personnel, sharing this data with business managers outside of the proverbial four walls of the data center is not particularly meaningful to them. Alternatively, by presenting this data in a way that is directly relevant to the business manager, IT and Facilities personnel can engage in a more productive dialog with their business counter-parts about how business requirements impact data center resources. By aligning “back end” data center operational intelligence with “front end” business intelligence, we can better understand how market pressures impact the infrastructure, which in turn helps improve business continuity and mitigate risk.
Modius in the News
Cabling, Installation & Maintenance Magazine, Ramp Up to Unified Alarm Monitoring, May 1, 2011
TMCnet, Getting the Most Out of Data Center Modularization: Optimizing in Near Real-Time, June 2, 2011
