Modius Data Center Blog

How to achieve better visibility and control over your data center operations—without the risk.

Veterans of data center operations tell us that having visibility and gaining better control over the critical infrastructure and IT assets throughout their entire facility is the key to maximizing data center efficiency. 

Achieving this requisite visibility is not a trivial task. It involves overcoming the interoperability hurdles of monitoring all of the various critical systems—such as generators, chillers, water pumps, air exchangers, PDUs, power strips, on-board server instrumentation, and more.

On top of that, making sense of the various alarm schemas—which are so vital to maintaining control of data center performance and achieving a higher level of efficiency—can be more of a headache than the alarm system is worth.  They typically don’t factor input from the full gamut of facility and IT equipment into their respective alarm thresholds. Consequently, spurious alerts from the disparate alarm systems trip over themselves and conceal the true state of the data center.

If your work is impeded by spurious alarms…or if you find yourself ignoring low-level alarms because they’re out of context from your overarching data center priorities…or if you cringe at the thought of the time and cost involved in deploying a monitoring and alarm management solution across your entire data center, then Modius can help.

Modius offers OpenData Standard Edition, a low-cost unified alarm management and notification solution for monitoring all power and cooling equipment, including IT racks. At only $1,995 per user per year, it is the only solution in the industry offered at a very low cost and distributed as a downloadable, easy-to-install software package. This low-cost offering reduces the risk of “locking in” to a solution without having it thoroughly tested in your environment, on your own terms.

OpenData interoperates with most network equipment through its support of the essential communications protocols, including SNMP, Modbus and BACnet. It collects and stores performance data, normalizes it, then transforms the data into a simplified, federated view. This means you don’t have to kludge together various point solutions, or contend with different data formats or increments that add complexity to data center management.

And, because of OpenData’s intelligent monitoring capabilities, customers also benefit from a sensible, unified approach to alarm management. The OpenData software matches all monitored performance against configurable thresholds and sends out alarms via a centralized notification engine. Rather than send an overflow of low-level alerts, it only sends the alarms you need when they matter most. This means you can manage your data center as a complete system—instead of disparate components—and get insight to the true state of your data center.

Sign up for a free demo of OpenData Standard Edition today and uncover the true state of your data center in a matter of hours.

In the news recently, there has been a lot of discussion around a new category of software tools focusing on unified facilities and IT management in the data center.  These tools have been labeled by Gartner as Data Center Infrastructure Management (DCIM), of which Modius OpenData is a leading example (according to Gartner).

In reality, there are multiple types of tools in this category - Asset Management systems and Real-time Monitoring systems like Modius.  The easiest way to understand the differences is to reflect on two key elements: 

• How the tools get the data?
• And how time critical is the data?

Generally speaking, data center Asset Management systems, like nlyte, Vista, Asset-Point, Alphapoint, etc., are all reliant on 3^rd party sources to either facilitate data entry of IT device 'face plate' specs, or are fed collected data for post process integration. 

The data processing part is what these systems do very effectively, in that they can build a virtual model of the data center and can often predict what will happen to the model based on equipment 'move, add or change' (MAC). These products are also strong at utilizing that model to build capacity plans for physical infrastructure, specifically power, cooling, space, ports, and weight. 

To ensure that the data used is as reliable as possible the higher priced systems contain full work-flow and ticketing engines. The theory being that by putting in repeatable processes and adhering to them, the MAC will be entered correctly in the system. To this day, I have not seen a single deployed system that is 100% accurate.  But for the purposes they are designed for (capacity and change management), these systems work quite well.

However, these systems are typically not used for real-time alarm processing and notification as they are not, 1) Real-time, and 2) Always accurate.

Modius takes a different approach.  As compared with Asset Management tools, Modius gets its data DIRECTLY from the source (i.e. the device) by communicating in its native protocol (like Modbus, BACnet, and SNMP) versus theoretical 'face plate' data from 3rd party sources.  The frequency of data collection can vary from 1 poll per minute, to 4 times a minute (standard), all the way down to the ½ second.  This data is then collected, correlated, alarmed, stored and can be reported over minutes, hours, days, weeks, months or years. The main outputs of this data are twofold:

• Centralized alarm management across all categories of equipment (power, cooling, environmental sensors, IT devices, etc.)
• Correlated performance measurement and reporting across various catagories (e.g. rack, row, zone, site, business unit, etc.)

Modius has pioneered real-time, multi-protocol data collection because the system has to be accurate 100% of the time.  Any issue in data center infrastructure performance could lead to a failure that could affect the entire infrastructure.  This data is also essential in optimizing the infrastructure in order to lower cooling costs, increase capacity, and better management equipment.

Both types of tools -- Asset Management tools and Real-time Monitoring systems -- possess high value to data center operators utilizing different capabilities.  The Asset tools are great for planning, documenting, and determining the impacts of changes in the data center.  Modius real-time monitoring interrogates the critical infrastructure to make sure systems are operating correctly, within environmental tolerances, and established redundancies.  Both are complimentary tools in maintaining optimal data center performance.

Because of this inherent synergy, Modius actively integrates with as many Asset Management tools as possible, and supports a robust web services interface for bi-directional data integration. To find out more, please feel free to contact Modius directly at info@modius.com.

... Or is there a cheaper alternative?

The latest advent in data center cooling is intelligent networked HVAC systems.  The HVAC systems are intelligently managed to allow remote sensors to provide feedback so that the HVAC system can tune cooling to meet the dynamic demand of the IT infrastructure.  The systems are “intelligent” in that they can change the speeds/frequency of the fan (VFD) to provide more or less air to the cooling zones and cabinets supported by the cooling system.  Further, they can auto-engage the economizer (for ambient cooling) and control water valves to provide greater efficiency to powering air-conditioning units.  They are also on a network so that they can be controlled in total rather than only independently, with one turning up while another could be throttling down. 

All very, very, cool stuff and can greatly influence one of the largest data center cost, powered cooling.  Ok, now the downside, wow.. is it really $1M to do it.  In most cases, the answer is yes. The cooling system manufacturers are hoping that you will replace your existing system and allow them to generate a services engagement for them to spend the next year turning up and tuning the system. 

So here is the question … Is there any way to make my existing HVAC smarter and NOT spend the $1M??  Glad you asked and yes there is.  Before spending that cash, there are three steps you can take in making your existing more efficient and they include:

1. Installing Variable frequency drives
2. Unifying data from temp/humidity monitoring at the cabinet
3. Compute, measure, and integrate into the BMS

Step 1. Install Variable Frequency Drives for controlling airflow

As discussed previously in earlier blogs, VFD’s will provide the throttle necessary to achieve energy efficiency.  Several states, including California, are providing rebated for installing VFD’s and pay for nearly 60% of the cost of the equipment (for more information on this topic, contact us at info@modius.com, and we can help put you in touch with the right people).  But remember … VFD’s are only as good as the control procedures you put in place to in order to modulate the cooling as required at the rack level.

Step 2. Unify data from a broad cross-section of temperature and humidity instrumentation points

In order to get the best possible data about what is actually happening at the rack level, there are several practical ways to extend your temperature and humidity instrumentation across your environment.  This may include not only deploying the latest generation of inexpensive  wirefree environmental sensors, as well as unifying data that is already being captured by existing instrumentation from wired, wireless, power strip-based or server-based instrumentation.  

The most cost effective way is to leverage the environmental data  the new servers are already collecting (often referred to as chassis-level instrumentation).  The new servers from the leading three vendors register both the server inlet and exhausted temperature.  Depending on the deployment architecture, this can provide you with a lot of fidelity including front/rear, min, max, average, and standard at the bottom, middle and top of the cabinet. 

In most cases, this is enough information to provide equipment demand for direct cooling.  Where you don’t have newer servers that support temperature, wireless sensors are the next best option.  There are several vendors on the market that make these products and are nice in that they are easy to set up and you can place just about anywhere.  If you have data being generated from power strips or wired sensors, incorporate those as well (the more information, the better).

Step 3. Compute, measure, and integrate into the BMS

Building management systems are traditionally very good at controlling systems such as VFDs and recognizing critical alarms.  What they are not good at is being easy to configure, integrate or extend across the network.  This is where you need to be able to provide a booster to how data is collected and synthesized. 

Modius OpenData is used to collected real-time data across the network into potentially hundreds of new devices and thousands of newly collected points.  Once the data is collected from servers, wireless sensors, pdu’s and wired sensors the data is correlated against key performance metrics then fed to the building management system so that it may adjust the VFD’s, water flow, and economizer.  Example metrics might be:

• Rack-by-rack temperature averages for inlet and outlet
• Row-by-row averages with alarm thresholds for any racks which exceed the row average by a particular margin
• Delta-T with alarms for specific thresholds

These types of computations can be based off of unified data from a variety of sources (sensors, strips, servers, etc.), all of which can be used to make your existing HVAC system smarter.  The most important point is to continually measure as you go and make a series of small or incremental optimizations based off of verified data.  The best news is that this architecture is the fraction of the cost of what new HVAC infrastructure costs and leverages your existing building management system.