With the holiday shopping season in full swing, Shop.com wants its Web site running as smoothly and quickly as possible. An hour of slow service could cost the Monterey, Calif., company hundreds of thousands of dollars, company officials say.

The company uses four or five monitoring systems to detect problems that could slow down the Web site and drive customers away, but Shop.com executives say one in particular helps them avoid the clutter of false warnings, diagnose problems before they impact service to customers, and operate an IT department with a small staff.

The system, developed by ProactiveNet, collects data to learn what the normal behavior of the company's IT infrastructure is at any given time of the day or week. This allows it to discover when CPU usage is abnormally high or low.

Most programs "tell you if your server is up or down," says Geoff Caras, vice president of system infrastructure at Shop.com. "ProactiveNet might say your system's up but your system is being used very heavily … It's a little more intelligent about how it alerts and what it tells you."

A few companies make programs that work the same way as ProactiveNet's, but most on the market are less sophisticated, Caras says.

A typical program might issue an alert when CPU usage goes above a certain threshold, say 85%.

This leads to irrelevant warnings, because during busy shopping times a high usage rate may be normal, says David Langlais, vice president of marketing for ProactiveNet. At the same time, a system that reacts only to an 85% threshold could miss problems that happen during slow shopping times.

"If (CPU usage) is normally at 20% at 6 in the morning and it's at 70% at 6 in the morning, you're already behind the curve," Langlais says.

Shop.com says it processes nearly 500 million transactions a year, connecting customers with more than 1,600 merchants.

Shop.com has used ProactiveNet for about two-and-a-half years, and just a couple months ago wrote new procedures that identify blockages caused when there are multiple requests for the same data. These requests can be due to customer orders, or anything else happening on the site.

Just as a fallen tree can block a stream, multiple requests for the same data can back up servers, slow down a Web site and drive customers away.

Whitepapers

• Selecting Effective Virtual Directories
• Best Practices for HP Servers and HP Enterprise Virtual Array in a Microsoft Exchange
• Compliance, Protection, Recovery: A Layered Approach to Laptop Security
• Endpoint Security: Data Protection for IT, Freedom for Laptop Users
• IT Departments on Data Security: A Research Concepts Survey
• Laptop Security Tool Helps Allina Hospitals Track 97% of IT Assets

View more SOFTWARE whitepapers

Webcasts

• Managing the End User Experience-A Real World Example of Success
• Lowering the Cost of Email Archives
• Google Webcast: Why archive email? Top challenges and best practices
• High Availability for SQL Server 2005 Using Array-Based Replication and Host-Based Mirroring Technologies
• Technical Overview of Exchange Server 2007 with HP Servers and Storage
• Bringing Order and Security to your Mobile Workforce: Corporate Mobility Policy and Device Management On-Demand

View more SOFTWARE webcasts

Special Reports

• Application Performance Management Executive Guide
• Executive Guide: Building a Service Oriented Architecture
• IT Buyers Guide To: Collaboration

View more SOFTWARE special reports