Understanding Panorama's Performance Analysis Engines

"Panorama helps us immediately identify performance
slowdowns and resolve any application-related performance problems before our
members are even aware of them."
CIO
AAA (Missouri)
"Panorama has proven successful where traditional tools and approaches have fallen short. We previously spent an average of 2000 hours yearly on application performance issues and resolved only about 65% of the cases. With Panorama, we now resolve more than 95% of the reported cases and have been able to significantly reduce the mean time spent on each case."
Peco Karayanev
Web Systems Engineer
National Instruments
The performance of mission-critical
production applications is impacted by many interconnected factors,
including system resources, database and application architecture,
the efficiency of application code, and network infrastructure. As
a result of the interdependencies in multi-tier production applications,
symptoms of performance problems usually appear at one or more tiers.
Typical approaches of isolating the root cause involve time-consuming,
manual analysis of metrics reported by disparate tools often owned
by different IT teams. When problems occur, finding out where the
fault lies can be a complex, lengthy, and costly process.
OPNET Panorama™ for Production
provides real-time performance analysis of complex Java/.NET applications
by monitoring system and application metrics within each server, across
all tiers. Panorama automatically spots performance anomalies with
advanced deviation tracking and correlation technologies, pinpointing
symptoms that might otherwise go undetected.
Easily
compare values for sets of related metrics.
Panorama automatically generates views based
on the "top offenders." |
Visualize key aspects of application performance in live or historical mode. |
Key Features
- Thousands of application and system metrics are automatically
correlated across multiple tiers to pinpoint a handful of possible
root causes
- Advanced deviation tracking and correlation technologies automatically
spot abnormal vs. normal behavior and identify unsuspected sources
of performance problems
- Proactive notification alerts IT staff or troubleticketing systems
when performance thresholds are breached
- Dynamic thresholds automatically adjust limits based on historical
performance, reducing false alarms
- Summary dashboards visualize key aspects of live application performance,
as well as providing a historical view
- Drill-down capabilities identify specific resources, such as Java
classes or database components, that are responsible for performance
problems
View metrics whose values have been the furthest outside of their 'normal' range for a particular time interval.