The Case for... BSM with Netuitive Service Analyzer

The quality and delivery of real-time business services such as point of sale systems, ERP applications, Web-based catalogs and on-line reservations depends on databases, applications, servers, routers, firewalls and other components organized within silos throughout your IT infrastructure. All working together under conditions that change by the second – and vary by the hour, day or season.

That’s why the dependency mapping and rule-making process required to implement BSM is also the largest obstacle and deterrent to getting it done. You simply cannot account for all of the constantly changing and inter-related components that affect your quality of service and the user experience.

Yet today’s labor-intensive performance management solutions expect you to do exactly that. Based on the old paradigm of manually configured rules, scripts and models, they waste hundreds or thousands of staff-hours, provide little or no help in problem diagnosis or resolution, and actually result in poor service levels.

If You Want BSM, You Need Netuitive Service Analyzer

Self-learning and continuously adaptive, Netuitive Service Analyzer speeds and automates BSM deployment. It improves service health by analyzing and correlating the performance of all service components – wherever they’re located and in real time – to forecast and alert you to problems before they happen. And it shows you in one convenient screen the end-to-end view of service health that you have always wanted.

In fact, deploying BSM without Netuitive Service Analyzer is humanly impossible.

Automate IT infrastructure management from a service perspective

Problem: Manual Baselining and Dependency Mapping is Humanly Impossible
The dependency mapping and rule-making process required to implement BSM or any rule-based approach to service performance management is also the largest obstacle and deterrent to getting it done. It is humanly impossible to track, correlate and understand — in real time — all of the constantly changing and inter-related components that affect your quality of service and the user experience.

Solution: Self-learning and Continuously Adaptive Netuitive Technology
As soon as it’s installed, Netuitive Service Analyzer begins to self-learn your operating environment and correlate the performance dependencies between identified system elements. With no manual rules, scripts or dependency mapping required, Netuitive Service Analyzer identifies all of the relationships between components in any business service, wherever those components reside — across domains, silos and platforms. Then it automatically generates Adaptive Behavior Profiles™ that define every component’s range of normal behavior – by time of day, day of week, even season of the year.

See a real-time dashboard view of end-to-end service health

Problem: No Visibility Across IT Silos
One of the biggest challenges in achieving effective BSM is that the components of services are typically organized within silos across your IT infrastructure. Because conventional service management techniques cannot see across these silos, they provide no end-to-end monitoring of service performance quality.

Solution: Break Down Silos with a Real-Time Dashboard View of Service Health
Netuitive Service Analyzer sees across and into IT silos to deliver an unprecedented end-to-end dashboard view of service health. One screen displays a complete picture of your current enterprise-wide performance – including warnings of impending problems and three-click drill-down to detail of any service issue.

See an example here.

Forecast service problems up to two hours before they occur

Problem: Most Alerts are False, Late or Missed Altogether
Manually set static thresholds can deluge your IT staff with thousands of system alerts daily — over 90% of them false positives. That is, even though a threshold was exceeded, there was no real problem. Raise thresholds to reduce the volume, and system alerts may be too few or too late. Turn off monitors to eliminate the “Christmas Tree Effect” and you miss genuine problems altogether. But the biggest problem with traditional alerts is that you don’t receive them until after something has already happened.

Solution: Forecast Problems in Service Health Before They Occur
Because your environment changes by the second, Netuitive Service Analyzer correlates and analyzes live streaming data as fast as it is received. Applying advanced statistical analysis techniques, it can identify multiple, simultaneous, anomalies and predict conditions that will affect the quality of service up to two hours in advance. When that happens, you receive Trusted Alarms,™ the industry’s most accurate and reliable indicators of impending service health problems.

Drill-down rapidly to root-causes of service degradation

Problem: No Context to Isolate, Diagnose or Resolve Problems
Alerts resulting from static thresholds generally lack the context needed for quick diagnosis of the problem at hand. In fact, there is typically no way to determine if the alert is an indication of the symptom or the underlying problem.

Solution: Isolates Root-causes so You Can Take Corrective Action
Trusted Alarm messages arrive in your monitoring console, prioritize events according to business impact, isolate root causes down to the component level and recommend corrective actions — all in plain English. In fact, with Netuitive Service Analyzer, you can diagnose problems up to ten times faster, which means shorter mean time to repair and greater service uptime.