SAS IT Resource Management
provides the ability to define, detect, evaluate, and report on conditions
in the data that are statistically exceptional. Exception analysis
systems notify users about potential conditions of concern in a proactive
way.
SAS IT Resource Management
exception analysis processing enables users to accomplish the following
objectives:
-
organize data sources for the
detection of exceptional conditions
-
describe the statistical behaviors
that are indicative of IT anomalies
-
prescribe recommended actions to
correct the anomaly
-
distribute information about the
anomaly to responsible parties
Exception condition
might include indicators of anomalies such as the following:
-
free memory below a designated
threshold more than 15 times in a row
-
disk queues that are 2 standard
deviations or more greater than those observed over the past 2 months
-
instances where a machine's CPU
is greater than 85% busy for more than 50% of the observations evaluated
for a particular machine
The SAS IT Resource Management exception analysis
process examines columns of source data. Typically, the source data
is a staged table. However, it can be any table (including an aggregation
table) that users need to examine for exceptional conditions.
Note: The source data cannot be
an information map.
The exceptional conditions
that you define for your site can be evaluated for groupings of data
that you specify.