BMC ProactiveNet Analytics

Business Challenge

IT Operations professionals are continuously challenged by "data overload" or "event storms" that require their event management systems to collect, retain, and process incredible amounts of performance data to determine the cause of performance degradation. Most existing management solutions require numerous thresholds, rules, and complex scripts to control the amount of events used to identify the source of performance problems. These solutions can tell whether multiple numerous infrastructure silos are "up" or "down," and some can provide performance assessments of each silo.

Business Need

• Identify problems before users are impacted
• Solve "Brown Outs"
• Eliminate intermittent problems
• Reduce the number of performance events
• Provide visibility of end-to-end IT infrastructure performance

Our Solution

BMC ProactiveNet Analytics is a real-time analytics solution that detects performance abnormalities in the IT environment, delivers early warning of degrading performance, and reduces time from issue detection to resolution. This early warning is delivered by Intelligent Events that result from analyzing and correlating data across the monitored IT infrastructure, speeding the ability to detect abnormal trends before end users and mission critical applications are impacted.

Key Features & Benefits

• Delivers value in days, gets “smart” within 2-4 weeks and adapts to change in performance behaviors automatically
• Requires virtually no manual threshold setting or maintenance efforts
• Reduces mean-time-to-repair by delivering probable cause analysis to the right people before users are affected
• Correlates performance, business, and other third party data and events to provide complete visibility into IT performance and business processes
• Reduces false positives and propagates only events closest to the problem cause with built-in event and data pre-processing
• Adapts to changes in IT infrastructure automatically, factoring seasonal and business related aspects into early warning