Modius Data Center Blog

What You Really, Really Need: The Mother of all Data Center Monitors!

Posted by Donald Klein on Tue, Aug 31, 2010 @ 11:26 AM

You may have asked yourself, “Why do I need another monitoring and reporting product if I already have five?”  True, you most likely don’t need another monitoring product, but rather what you really, really need is a system to link these systems together. 

Why?  Because several different monitoring systems operating in their own silos doesn’t help you improve your business.  Instead, what you need to do is build business logic for optimization and capacity expansion strategies, as well as decrease the time spent to repair problems. 

To do this effectively, you need a super system: what we call the “mother of all monitors”.  This is a system that cannot only collect a superset of monitoring data from different point solutions, but also connect directly to other devices that may not currently be monitored (e.g. generators, transfer switches, breaker panels, etc.).  And it needs to do this with the kind of scalability, analytics, and ability to integrate with other management systems that you would expect from an enterprise-class tool. 

Here at Modius, we are already seeing this happen in the field.  There is a current trend among data center managers to link their monitoring platforms together so that they have one common central platform to view and navigate to distributed monitoring systems.  We have designed our application, OpenData, with a  “Monitor of Monitors” architecture in order to provide operators with a single pain of glass into both the facilities infrastructure including power-chain, cooling, and redundancies as well as IT system level information.

MOM2

The key problems solved are:

  1.  System-level metrics - Link system level IT metrics to facilities capacities  
  2.  Trouble shooting - Accelerate trouble shooting and fault dependency mapping
  3. Alarm management - Reduction in “noise-level” alarms
  4. Analytics - Building business-level metrics (BI) for capacity, efficiency, etc.
  5. Controls-based integrations – Improved automation based on broad data capture

Here is some more detail on each of these benefit areas …

1)      System-level metrics

Typically, IT system-level metrics are collected by system management tools and will provide logical properties based on MIB-2 or the Host MIB (RFC-1514).  This provides IT managers with data on the operating health of the equipment and capacity related to CPU, Disc, I/O, Memory.  What management systems typically do not provide, however, is how facilities (power, cooling, etc.) impacts the cost of operations and the amount of optimal cooling. 

By linking IT system-level metrics with unified facilities monitoring through a single portal, higher level business and operating metrics can be formulated to reduce the cost of operations by tuning available cooling resources to the actual needs of each server instance or other IT gear.

2)      Trouble shooting

By consolidating event and performance data into a single view, you can quickly determine the cascade of failures with the visibility to determine the impacts of facility equipment.  An example could be a PDU failure and what devices are in the path of the affected circuit.  In redundant environments there will be a fail-over to the second PDU but in most cases the assurances of a successful hand-off are difficult to predict.  By linking both facilities BMS, PDU’s, UPS, Genset with system level IT information the relationships are documented, visualized, correlated and actively monitored.

3)      Reduction in rogue alarms

By linking point solutions and consolidated even level data, a complete historical view may be achieved.  Through this historical view, alarm flows can be optimized and reduced operationally.  An example would be a BMS received alarms at a rate where the alarms become noise as they are not easily tuned.  Also contextually, it is very difficult to look at what a typical operating condition is as there is not enough or broad enough history to proactively set truly meaningful thresholds or deviations.

4)      BI-based business metrics

With a single point of consolidation, you can quickly build reports and dashboards across platforms.  An example would be a stock chart type view when you can visualize a period of time.  This is used to determine deviations from the norm which might cause downtime or affect operational performance.  With several independent systems it becomes impossible to correlate based on time or carry enough history to gain the insight necessary to prevent a potential outage.

5)      Single application launch point

The “Monitor of Monitor” architecture brings a unified structure to gain access to operational and control systems.  An example use case would be to identify cooling requirements based on broad-based data capture (e.g. an array of environmental sensors at the rack level, or real-time server-inlet temperatures taken directly from servers themselves) and then tie the resulting performance metrics into building control systems to tune VFD’s and cooling output.  Integrating the BMS application directly to the monitoring system allows the use the real-time data required and feedback mechanism to optimize cooling and cost without overheating the IT equipment.

Conclusion

If you would like more detail on how Modius can help with any the above topic areas, please reach out directly using info@modius.com, and we will be happy to set up an appointment.

Topics: data center monitoring, Data-Collection-and-Analysis, Data Center Metrics, Data Center PUE, data center energy monitoring, real-time metrics, Data-Collection-Processing, data center alarming

Do Co-los & MSPs need Unified Monitoring & Measurement more than other Data Centers?

Posted by Donald Klein on Mon, Aug 23, 2010 @ 04:20 PM

MSP and ColocationsHere 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

Data Center AnalysisCustomers 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. 

Data Center OptimizationHappily, 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. 

Data Center EfficiencyAs 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. 

KpI PUE MetricsWe 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. 

Be it end-users, Co-lo’s or MSP’s, everyone is increasingly looking to software providers like Modius to solve the comprehensive measurement and reporting problem, and we believe they are finding that Modius OpenData is the right product at the right time and value.

Topics: data center monitoring, Data Center Power, data center management, data center operations, data center energy monitoring, Energy Analysis, Operational-Intelligence, Making-Data-Relevant

Want to Try OpenData before you Buy? Modius offers “virtual” POC

Posted by Donald Klein on Mon, Aug 02, 2010 @ 09:43 AM

Enterprise software Proof-of-Concepts (POCs) are often challenging to administer and implement as they typically require the vendor to train, install and implement the software in the client’s facility.  This process can prove costly and time consuming for both the vendor and the client. 

Data Center Monitoring Help Button

Modius has solved this challenge by creating a new offering for a “virtual” proof of concept (vPOC).  The vPOC allows customers to try Modius OpenData in a secure sandbox environment without installing any local software. 

The database is pre-populated with a typical Data Center environment including a full range of data center equipment, including typical ‘heavy equipment’ such as UPS, CRAC, Genset, PDU, as well as rack-level equipment such as iPDU’s and wireless temperature sensors from leading equipment providers including HP, IBM, APC, Emerson, RFCODE, and Server Tech.

The vPOC provides a fullyMultisite Data Center Monitoring by Modius OpenData-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.

Data Center Manager obtaining value

 

The process to get started is as simple as signing up for the 15-Day free trial.  To get started, please see our vPOC registration page for a simple form to have one of our team contact you.

Topics: data center monitoring, Data Center Metrics, Data Center PUE, PUE, data center management, data center operations, data center reporting

Latest Modius Posts

Posts by category

Subscribe via E-mail