TeamQuest Model

Accurately predict IT service performance with capacity planning software

TeamQuest Model is a capacity planning package that accurately predicts the resources required to support consistent service delivery at appropriate risk levels. TeamQuest Model is used to:

• Predict the resources required to meet service levels as demand increases
• Identify which components will negatively impact response time
• Find the least expensive way to accommodate workload increases

As a member of the overall TeamQuest suite, TeamQuest Model can, of course, create baseline models using data collected by TeamQuest Performance Software. TeamQuest Model can also create baseline models using data collected by HP OpenView Performance Agents or HP OpenView Reporter. See our page regarding TeamQuest and HP for more information.

Enlarge image Active resource workload matrix More Sample Screens Active resource utilization Active resource utilization after adding CPU Components of response Components of response after adding CPU TeamQuest Model can utilize baseline performance data gathered by TeamQueset data collectors on these platforms: AIX on POWER HP-UX on Itanium and PA-RISC Red Hat Enterprise Linux on POWER, x86, x64, Itanium, zSeries Solaris on SPARC, x86 and x64 SuSE Linux Enterprise Server on POWER, x86, x64, Itanium, zSeries Windows on x86, x64 and Itanium VMware ESX Server on x64 and x86 z/OS on zSeries and i5/OS iSeries In addition, TeamQuest Model can also use data gathered by HP OpenView Performance Agent. CPU utilization I/O usage Workloads Hardware configurations

TeamQuest Model uses analytic modeling capabilities to quickly and accurately predict the impact of changes without requiring you to configure any hardware or apply artificial loads. You can experiment with configuration changes, consolidation options, and demand levels to be sure you are allocating the right resources to meet business priorities.

You can predict response time from different components in a multi-tiered environment. TeamQuest Model also supports virtualized environments, including support for simultaneous multithreading on POWER5, micro-partitioning, and shared processor pools.

You can identify underutilized resources for redeployment and meet service level agreements without wasting resources.

You can mitigate the risks of stacking applications on a single server by understanding the impact on services before you consolidate.

Product Features

Model a single system or multi-tiered applications

• Analyze your Web server, application server and database server all together
• See various systems as components of overall response time
• Focus on systems that are causing performance problems
• Define workloads that span multiple systems
• Experiment with adding servers to a tier for horizontal scaling

See the components of response time

• Analyze response time by business workload
• Uncover which devices are responsible for the largest portion of response time
• Determine what percentage of time is spent in the CPU or waiting for I/O devices
• Meet service-level objectives

Find and utilize wasted capacity

• Identify underutilized resources and redeploy for other services
• Get more out of existing resources

Be ready for changes in demand

• Know in advance how systems will respond to unexpected bursts of activity
• Make sure systems are adequately configured for new applications
• Avoid outages and performance problems by planning ahead
• Understand which IT components are likely to be your weakest links

Make informed capacity planning decisions

• Consolidate servers with confidence
• Manage the impact on servers for mergers and acquisitions
• Predict the impact of workload changes
• Upgrade just-in-time
• Objectively justify upgrades to management

Predict performance by answering what-if questions

• What if I move this database file to a different disk subsystem?
• What if I upgrade my CPU? What if I lose one?
• What if one of my workloads increases by 10% a year over the next 5 years?