Modius Data Center Blog

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.

Over the course of meeting with perhaps 100 customers over the last 6 months, it has become painfully clear to me that there is widescale and growing confusion about Real-Time Data Center Monitoring.

I would suggest that Real-Time monitoring which answers MOST customers' needs MUST have a number of specific capabilities which the vast majority of what's available today do NOT:

1. Scale. Most shipping Data Center Management and Monitoring solutions fail to realize that SCALE is a big deal. Monitoring 100 devices on a trade show floor demo is entirely different that deploying true monitoring across 20 sites, each with thousands of devices. You simply can't use the same ARCHITECTURE, and all the marketing fluff in the world won't solve this fundamental structure issue. The ONLY way to scale this is using a DISTRIBUTED architecture.

2. Device Coverage. These same vendors will tell you that they speak SNMP and that everything you need to monitor speaks SNMP. Nonsense! Firstly, there are many protocols including Mod-Bus, SNMP, BACnet, WMI, Serial, etc, etc. Secondly, just supporting the protocol doesn't get you much closer to the device knowledge. Each device has to be specifically understood to read the required values. In most vendor's proposals, this shows up as "Professional Services" which means 'We'll figure it out on the job, on your dime'.

3. Real-Time Monitoring MUST store observed metrics and KPIs over long periods of time. I would suggest that while there are many reasons why most customers want to see real-time monitoring, the vast majority of these reasons are TIME-BASED. The monitored values or metrics need to be collected, time-stamped, stored, and available openly to run analysis upon. While customers may want to know that the data center is consuming 350kW this instant, what they REALLY want to know is that the data center WAS consuming 275kW 3 months ago, 310kW last month, 350kW today, and then PROJECT the future date of the wall that they will hit of the 500kW feed from the power utility.

The road ahead will continue to be littered with failed deployments of real-time management solutions which do NOT realize the dream of Data Center Monitoring. Customers should challenge their vendors to answer ALL of the tough questions. Consider the old-school 'Get it in Writing' approach, and then be very specific about your expectations, needs, and acceptance criterior...

Let's ALL win this GREEN game!

One project that we have been working on at Modius is teaming with our friends at GroundWork Open Source (GWOS) on unifying their comprehensive IT monitoring with Modius facilities infrastructure monitoring.

Here is our recent webcast on the integration between our two products.  GWOS hosted this webinar from their offices, and many of the people in the audience were IT Operations professionals. 

To watch the webinar, please go here:

Unified Infrastructure Monitoring with Modius & GroundWork