IT organizations relentlessly focus their efforts on cost-efficiency and productivity, but until recently, tuning IT application performance has been more of a guessing game. The common approach for database and application tuning involves collecting large volumes of statistics and making trial and error changes. Wait-time analysis is a new approach to application and database performance improvement that allows users to make tuning decisions based on optimal service impact. Discover how wait-time analysis improves Oracle tuning efficiency by showing the IT organization exactly where the problem lies, who should fix it and how it impacts the customer.

This white paper explores:

• The fundamentals of wait-time analysis.
• Problems involved with conventional statistic approaches.
• Key requirements when assessing a wait-time solution.
• How to leverage wait-time analysis to improve Oracle application performance.

Download Wait-Time Analysis Method: New Best Practice for Oracle Performance Management now.