The Intel DCM solution provided us with real-time and historical data center thermal maps and cooling analysis. The analysis covered not only servers and racks from different OEMs but also storage, networks, and facilities equipment. We were able to detect hotspots and cooling anomalies and find ”ghost” (underused) servers. Because Intel DCM was easy to implement, integrate, administer, and operate, this solution provided significant ROI in a short amount of time.
CIOs must continuously reinvent themselves and their organization’s digital roadmaps, while maintaining their business’ layered security. To Learn more about data center security download this guide.
Digital business technology is rapidly advancing and increasing traffic within data centers. Manual processes will no longer suffice to keep up with increased demand. To learn more about managing data center expansion and complexity download this guide.
You’ve done a thorough evaluation of your DCIM software and are convinced that DCIM will make a major difference in the operation of your data center. Based on our experiences we have learned six simple lessons that can help you build a simple ROI model and get approval for your DCIM deployment. To learn what the 6 lessons are download this guide.
Considering a DCIM project in the near future? Here are the top 3 out of 10 key considerations for success.
1. Be clear on problems and prioritize over time
2. Don’t get caught in the feature comparison trap
3. Understand current processes and desired outcomes
To see the other 7 top considerations for your DCIM project download this guide.
When choosing or implementing DCIM Software you must first identify Your Top Data Center Challenges. Are you trying to solve for asset, capacity, or change management?
Or for power, energy, or environment management? Download this white paper for some tips to help you identify your data center challenges
As data centers deploy virtualization and consolidate equipment for more efficient computing, the average rack power density is constantly rising. While an average cabinet supported 3 – 4 kW a few years ago, today that power management load is considered in low-density environments. It is certainly not uncommon to have cabinets drawing 9 – 15 kW and in several cases, even higher than that. With the rise in processing being done at every cabinet, strong attention needs to be paid to the cabinet power distribution strategy so that the highest levels of availability and efficiency are achieved with minimum management overhead. To learn more download this white paper.
This whitepaper examines some of the short- and long-term issues and challenges that should be part of your due diligence when facing growing demands of your organization’s evolving computing architecture with a good strategy and making economic decisions.
It also provides guidelines for evaluating the alternative choices, such as colocation and hosted service providers, as well as cloud services, which can all be utilized together for enhanced flexibility.
A recent survey of 200 data center managers across the US and UK reveals that a large proportion of centers take a manual approach to planning and forecasting. Despite its limitations, MS Excel emerges as a popular tool and nearly one in ten resort to walking around a data center with a tape measure. Only just over half are able to benefit from using Data Center Infrastructure Management (DCIM) tools.
Data Center Infrastructure Management (DCIM) has become more vital than ever to data center operations. The insight provided by these systems has historically only been accessible to the data center operations team, not the colocated customer. Now that the technology sector as a whole is becoming increasingly user friendly, transparent and hands on, it makes sense for colocation data centers to offer a higher level of insight and transparency into their clients’ individual environments. This white paper examines the benefits of being able to monitor colocation environments as well as the issues that can arise from the lack of visibility.