Here at Modius, we are seeing an increasing number of requests among Co-locations (Co-los) and Managed Service Providers (MSPs) to help them capture more robust and accurate power measurement data. In one sense, this trend is nothing new because all data centers—whether captive inside an enterprise or an outsourced service provider—need accurate power measurement, typically for improving:
- Capacity optimization
- Energy efficiency
- Uptime assurance
But we find that Co-lo’s and MSP’s have a special need that takes power reporting to the next level: Providing disaggregated energy consumption and power usage data by customer at a very granular level, often by rack or even a group of servers. Typically, they need detailed power metering for each customer, principally for:
- More accurate customer billing
- Detailed status reporting to the customer (in real-time) through a customer portal
Customers are now wanting this information not only to be sure their power bills are accurate, but also to try and determine their available power capacity, usage trends, and accurate data to support reporting on PUE and Carbon management. Or even more of a challenge, they need to unify data across different locations because their customers are spread across several different buildings.
Theoretically, some of this data can been captured from the servers. In fact, with distributed systems management tools, reporting on server energy consumption (at the server level) is relatively commonplace. But this data source is incomplete. What if you want to factor in cooling and other related energy consumption? Or what if you also want environmental reporting for bottom/middle/top for each rack? Now, this is much more challenging …
In general, most Co-Lo’s don’t have access to the server instrumentation data at the chassis level. And in terms of power and cooling, we’ve found that most co-location providers are still struggling to unify a broad range of equipment into a single monitoring fabric and extend the framework across disparate systems and locations.
Happily, there are several Co-Lo’s operators taking the initiative by unifying their monitoring of power and cooling equipment with a real-time data center monitoring and measurement system like Modius OpenData. And many are augmenting power and cooling data by installing new breaker level metering and. Moreover, many are even using this data to create centralized customer portals to provide their customers with reporting and a real-time view of their power capacity and consumption. Further, they are adding a layer of analytics and baselines on energy efficiency and reliability.
As the industry becomes more competitive, service providers cannot continue with business as usual. Many Co-lo’s and MSP’s have taken this initiative so that they can differentiate themselves, have better visibility on how they can extend their internal resources, and provide PUE and Carbon reporting services to their customers.
We believe the underlying driver behind this trend is the fact that an increasing number of corporations and enterprises with large IT departments are being tasked by their senior management to provide comprehensive reports on power usage and their relative efficiency, regardless of whether the enterprise owns their own data center facilities or outsource part of their infrastructure.
-functional instance of the Modius OpenData system that the user can manage and administer. The Graphical User Interface (GUI) allows the user to drill through to each device and identify which alarm points are being collected, how they are correlated and distributed, their polling rates, and which “real-time” alarms are critical or require immediate action. Typical customers who are signing up for a Modius vPOC are looking to replace several existing monitoring point solutions (e.g. homegrown, ALC or DataTrax). In addition, they may be looking at Modius OpenData’s “multi-site” capability to consolidate existing infrastructure monitoring across multiple locations with a single repository of easy accessed and reported information for availability, capacity, and performance utilization.
