Posted by Mark Harris on Tue, Jun 22, 2010 @ 05:15 PM
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!
Posted by Donald Klein on Fri, Jun 11, 2010 @ 05:24 PM
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
Posted by Mark Harris on Sun, Apr 04, 2010 @ 07:13 AM
The granular management of all assets being placed or moved within a datacenter has become highly desirable over the past several years. Important to note is that most major companies will claim to already solved the asset management needs with an array of typically disconnected and many times complex sets of tabular asset manager products. These same companies are now quietly looking for 'something else' to help get them to where they 'really' need to be...
The newest generation of asset management suites are focused on visually representing assets with a drag-and-drop approach to adds, moves and changes. These new lifecycle management suites allow equipment to be added, moved or changed in existing facilities in a highly predictable and efficient manner. Examples of these modern suites include Aperture, Altima/Netzoom, Rackwise, nLyte, Avocent, ShowRack, APC, VisualDatacenter, Raritan/dcTrack, FieldView and a handful of others. Each of these management software suites has been crafted to allow complex data centers to be visually articulated with a high degree of fidelity, identifying everything from the manufacturer, model and serial number, to the purchase date, PO number, owner’s name and physical location.
In typical scenario, the user will graphically navigate using a drill-down tool which mimics the ‘Google Earth’ model… starting with very macro views and then selectively drilling-down to progressively more detailed views of smaller areas. In each view, various operational metrics are constantly reported such as ‘power being consumed’ within the current view. Ultimately single discrete values can be displayed.
Historically, these suites have relied on ‘faceplate’ information. This faceplate information is based upon the manufacturer’s published specification for a specific given device. It is usually the maximum value. A 1U web server for instance may have a published faceplate power consumption of 450 Watts, but the actual power draw in normal operation may be a much lower 150Watts or less. This discrepancy creates the potential for huge errors and inefficiencies when planning for overall capacity and expansion opportunities.
Consequently, one of the newest customer requirements needing to be addressed by EACH of the asset management suite vendors is to add real-time metric data. The desired metric data will obviously include the value for Power consumption, but may also include less intuitive values for fans speeds, inlet and CPU temperature, CPU and RAM utilization, available disk space, etc. While these values are relatively easy to come by as an individual user of each system, many different technologies must be exercised to programmatically and remotely retrieve these values in real-time.
This is currently where many of the latest generation of visual Asset Managers struggle. While their systems are amazing at handling the visual manipulation of IT assets, moving racks and routers along floorplans and data centers, the systems are simply not built with a large enterprise in mind when it comes to gathering Real-Time metric data. Gathering metric data for 12 servers at a trade-show is very appealing, but doing the same type of metric gathering in production against 12,000 or 112,000 servers is a bigger fish to fry. To do so requires a distributed collection architecture that is purpose built to collect any and all data from any device which is network addressable.
Real-Time monitoring with OpenData is the technology that will support the replacement of these faceplate ‘theoretical’ values with actual observed values… allowing a significantly more accurate view for planning purposes. Modius' OpenData(r) is built on a fully distributed bus architecture, is firewall friendly, and can be deployed easily to provide any asset management tool's need for Real-Time monitoring. OpenData SUPPORTS rather than replaces Asset Management suites, and has been crafted with API's and Web Services interfaces to allow the OpenData gathered metric data to be CONSUMED by any number of other applications, including the current crop of Visual Asset Managements solutions. The combination of a best-of-breed visual asset management tool with a highly granular metric monitoring solution like Modius OpenData allows business costs to be much more understood and ultimately will allow existing data centers to provide significantly more capacity and increases the lifespan of the data center itself.