
IT By
the Numbers
Numbers and statistics can tell interesting stories—and,
if you’re using computers, they add up quickly. Part
of the work done by IT computers is keeping track of how well
IT’s systems—both computer and human—are
doing.
For example, IT has an automated Intrusion Detection System
(IDS) that identifies and heads off potential problems before
they have the chance to do any damage to the university’s
computer-based assets. The IDS also creates reports of attempted
attacks on the network. During the reporting period of December
25, 2004 through January 24, 2005, IDS reported 10,182,150
attacks on the Cal State Fullerton network. The onslaught
ranged from attempts at network vandalism to distributed denial
of service attacks. Most, however, were attempts to compromise
database servers with WORMS or other exploits. In any event,
none of the more than ten million attempts succeeded. In baseball
numbers, that’s batting a thousand. On the email front,
the system’s viruswalls knocked out 72,604 virus infections
and blocked 617,021 suspicious attachments, a whopping 20-fold
increase over last year.
Like the network’s IDS and viruswall,
the Help Desk, too, works to keep the university’s computers
up and running, and to help users solve technical problems
as they arise. And, like the network, the Help Desk keeps
track of its numbers. While not in the millions, the numbers
are still impressive. Between July 1 and December 31, 2004,
the Help Desk opened 12,411 job tickets and closed just as
many. Most problems (69%) were resolved within in an hour.
Another 13% were resolved between one and eight hours. Problems
ranged from questions about accounts or passwords to repairing,
either remotely or in person, desktop virus infections that
slipped into the system. On the phones, the Help Desk logged
18,485 incoming calls, 84% of which were answered within 12
seconds; only 16% of callers had to wait more than 12 seconds
to speak with a consultant.
When consultants make field visits
to campus offices, they leave a questionnaire for users to
rate their “service impression.” These questionnaires
tell their own story: 95% were rated “great,”
5% were rated “good,” and 0% were less than good.
The numbers seem to add up.
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