The Predictive Analytics Module allows automatic baselining and behavior learning of cloud and IT infrastructure.
Cloud and IT monitoring
software solutions specialist Zyrion announced the release of the Traverse
Predictive Analytics Module that learns the component behavior pattern of IT
services and helps isolate the underlying problem for performance degradation
within distributed, heterogeneous cloud infrastructures.
Last year the company launched
the Data Capture and Processing Module for seamless monitoring of cloud
technologies, followed by the release of its automation module in the last
quarter of 2011. This third phase of Zyrions platform evolution, Intelligent
& Predictive Analytics, delivers features designed to reduce false alarms
using predictive analytics in todays IT environments. Zyrions Predictive
Analytics Module allows automatic baselining and behavior learning of cloud and
IT infrastructure based on historical data analytics. This behavioral analysis
can be applied to all underlying components of an IT or business service, which
creates a demand-based performance profile of an IT service.
The Traverse Analytical
Module is designed to help IT administrators detect service issues that were
traditionally masked because of static behavior models, and help isolate the IT
service component whose current performance does not match the predictive
behavior pattern. Specific features in Zyrions predictive analytics module
include behavioral pattern analysis, which automatically determines the
behavior of any and all IT components by analyzing the performance metrics for
time of day and day of week behavior over any given period of time.
Other features include
flexible baselining based on behavioral pattern, which gives administrators the
flexibility to adjust the calculated baseline behavior using any statistical
calculations of mean, peak or 95th percentiles, and composite thresholds, which
allows for creating composite service metrics for any IT service and modeling
the behavior of the composite service container metric. Also included are
service level agreements (SLAs) based on behavioral analytics. Zyrion
Traverses SLA module can now track SLA violations based on the behavioral
patterns in addition to the traditional fixed threshold metrics.
These predictive analytical
features are designed to help IT organizations deal proactively with the dynamic
nature of IT services in cloud and virtual IT environments, said Vikas
Aggarwal, CEO of Zyrion. Using real-time data analytics based on historical
patterns on our massively scalable, patented architecture allows large
enterprises to reduce noise and false alarms, and have an immediate impact on
lowering TCO for managing your IT infrastructure.
Nathan Eddy is Associate Editor, Midmarket, at eWEEK.com. Before joining eWEEK.com, Nate was a writer with ChannelWeb and he served as an editor at FierceMarkets. He is a graduate of the Medill School of Journalism at Northwestern University.