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Statseekers Unique Approach

Extract from a white paper prepared for Statseeker (Capturing and Managing the Details) by Enterprise Management Associates Inc, 2004.

Statseeker has taken an unusual approach to addressing the data volume, transit, threshold, and analytic issues of "less is more". By focusing on specific statistical values (OIDs), Statseeker reduces the data volume while increasing the value of that data and the engineering that is applied to it.

Since the collected data is limited, statistics can be collected on the entire network infrastructure and done so more frequently without impacting the network with the normal volume of over-polled data. This more extensive visibility into the network and higher frequency also increases the value of the data by highlighting more relevant trends and more quickly reflecting sudden changes in the monitored systems and network. Given this focus on relevance, the result can show a more "actionable" management perspective on the infrastructure.

This simplicity in data collection has also made Statseeker distinctive in being able to monitor the entire network and all its components. This virtually eliminates the need for guessing which devices are critical, and which are not - which will in any case vary by application and service environment, as well as by normative changes within increasingly dynamic IT systems. Statseeker's "blanket monitoring" has historically extended to environments with as many as 200,000 nodes. By design, Statseeker's software can scale much larger; however, there are few networks extensive enough to take the software to its limits.

The visualization of the data is also a vital link in the chain of management requirements. Statseeker uses real-time data sorting to present the most likely issues at the top of the view. Typically, Statseeker has found that even in a very large network there are a relatively small number of links or nodes that are showing irregular statistics at any given time. Also, typical behavioral characteristics of potential problem areas in contrast with other elements or networked areas that are operating well within tolerance is obvious and dramatic. Given this characteristic of these complex infrastructures, simple sorting of the results provides a simple visual segregation of information that needs attention.

The combination of limited data collection and simple but effective visualization techniques allows Statseeker to focus engineering effort on understanding the implications of the statistics that are at the core of the Statseeker system. Because Statseeker has developed a focused collection of information, Statseeker analytics can be more efficient, turning virtually all of the data into useful information for understanding the characteristics, trends, and trouble spots in the network.

Since the data is collected more frequently than is typical - usually every minute, the reports and graphs are effectively real-time views of the network, providing rapid access to emerging issues and quick visualization of reported problems. Statseeker historical reports, available as the archived version of real-time reports, serve as a backdrop for those real-time reports, providing information about the typical trends of the network by hour, day, week, or any other time period. Equally important, the limited amount of data collected means that the details for those historical reports are maintained without loss, thus providing the ability to drill into data from many months ago to understand the differences between now and then.

This baseline information from the reports becomes a key characteristic in the computation of normative thresholds and provides a backdrop against which to measure current performance.

Statseeker deployment is analogous in its simplicity to the Network Monitor's core design. With Statseeker's bootable CD, any system conforming to Statseeker's requirements quickly becomes a Statseeker server and begins to collect data from the network. The system also acts as a LAN analyzer to dig into activity on a LAN and understand the possible sources of problems.

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