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How End-User Information Can Enable More Proactive Service-Level Management
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How End-User Information Can Enable More Proactive Service-Level Management
by Denise Kalm, Rob Steiskal
February 17, 2010
Exception-based monitoring is one way to watch for problems that may affect desktop service levels. To do this effectively requires knowing what an exception is. You also may want to be even more proactive about meeting user expectations. Experienced systems and network management teams proactively optimize service levels by better understanding business users and applying that understanding to their systems monitoring strategies. This article explains how business-centric application performance management can drive business success by providing a holistic view of a business transaction.
The Reactive Manager
As business demands continue to grow and IT resources remain constrained, every IT organization must re-examine the maturity of its systems and network management processes. Often, increased responsibility and reduced staffing have prompted a return to reactive management. Such firefighting usually results in a frustrated IT staff, an unhappy user community, and poor business decision-making. Reactive IT organizations share several common characteristics, including:
- Monitoring by exception: Management staff look for “outliers”—unusual peaks in resource utilization or performance spikes—on their network and systems monitors. They then respond to those exceptions based on their apparent severity.
- Alert on static thresholds: Monitoring is done against static thresholds that are either set to standard defaults or some earlier, internally determined baseline. As a result, Rules of Thumb (ROT) are used to set thresholds in the monitors to help track problems. Monitors don’t have the ability to use dynamic thresholds, so normal peaks and valleys in business activity can cause “false positive” alerts.
- Generalized understanding of trends: Over time, management staff begins to get used to certain patterns. These include batch job streams that consume significant resources at the end of the month or peaks in transaction rates for certain applications at regular times throughout the day.
- “Loved one” applications: With hundreds (or perhaps thousands) of applications to watch, the ones that get the most attention tend to be those deemed most important by someone among, or with access to, the management team.
- How many retransmissions on the network are too many
- How busy a disk can be and still provide acceptable performance
- At what point the network is saturated
- When degradation in response time on a given server in a multi-server business application actually impacts the business.
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