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TeamQuest Analyzer^® Analyze real-time and historical IT service performance issues
TeamQuest Surveyor^® Accelerate business and optimize IT services with enterprise capacity management
TeamQuest Predictor^® Accurately predict IT service performance with capacity planning software
TeamQuest CMIS^® A distributed performance database for all capacity and performance information across the enterprise
TeamQuest^® Global Services Professional assistance to help you optimize IT services and get the most from TeamQuest software

TeamQuest Predictor^®

Advanced automated analytics and capacity planning

Business/financial decision support
Optimized usage of existing resources
Problem avoidance
Root cause prediction

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Benefits

Enhances TeamQuest CMIS with advanced analytics for application and system health monitoring. (See the "What is the TeamQuest Performance Indicator?" section below.)
Provides unbiased, vendor-neutral guidance, showing what you really need as opposed to what your vendor says you need.
Improves your return on your IT investment, by helping you get the best possible performance for your IT dollars.
Reduces or eliminates over-provisioning, by identifying the least expensive way to accommodate service level requirements.
Ensures availability, by accurately forecasting the infrastructure needed in order to meet demand.
Aids virtualization & server consolidation decisions, helping find the most cost-effective combination and configuration of resources.
Allows you to avoid outages, by predicting ahead of time where and when they will occur.

How it works

TeamQuest Predictor takes the rocket science out of predictive analytics, putting the speed and accuracy of a powerful analytic queuing network solver into the hands of everyday capacity planners. The tool uses baseline measurements and configuration information from the distributed TeamQuest CMIS to calculate an accurate starting-point or "baseline" analytic model. The results of that baseline model can oftentimes reveal problems with existing configurations, showing which infrastructure components are responsible for the largest portion of response time.

TeamQuest Predictor Architecture Diagram

After a baseline model has been calculated, the user can make changes to the hardware/software configuration being modeled and TeamQuest Predictor will reveal how the changes will affect performance. TeamQuest Predictor can also determine how applications will perform if workloads increase, even helping to identify which infrastructure components will become bottlenecked first, and when.

What is the TeamQuest Performance Indicator & how does it work?

The TeamQuest Performance Indicator (TPI) is a single, easy-to-understand, but sophisticated metric reflecting overall application or system health. It's yet another tool for optimizing capacity and minimizing risk.

TPI is more accurate than other summary KPIs, because it is based on an advanced analytic queuing network solver. TPI is a single 0 to 100 metric that facilitates at-a-glance application and system health reporting using tools such as TeamQuest Analyzer and TeamQuest Surveyor.

Automated TPI calculations are added to TeamQuest CMIS by TeamQuest Predictor, and because TeamQuest CMIS can supply data to TeamQuest Analyzer and TeamQuest Surveyor, all these tools are effectively enhanced when you get TeamQuest Predictor.

TeamQuest Predictor Enhances Other TeamQuest Products

TeamQuest Predictor's automated TPI calculations can be calculated in near real time and stored by TeamQuest CMIS to be picked up by TeamQuest Analyzer and TeamQuest Surveyor for health analysis and reporting. Also available together with the TPI calculations are components-of-response time estimates that make it easier to determine where exactly bottlenecks are occurring.

Why it’s better

Understands non-linear behavior, with powerful, proven technology based on queuing network theory.
Delivers faster results, automatically calculating application and system health (TPI) in near real time and enabling you to build advanced predictive models in hours that then deliver results in minutes.
Provides accurate predictions, typically within 95%, via an easy-to-use analytic queuing network solver.
Makes sophisticated capacity planning easy, by automating all of the complicated math for you.
Understands the details that affect capacity, such as multi-threaded environments & partitioning configuration options.

Features

Allows you to experiment with what-if scenarios to find the best configuration for handling forecasted workloads.
Predicts how infrastructure will perform if workloads change.
Predicts the performance of individual systems, virtualized environments and multi-tiered applications.
Predicts response time from different components in a multi-tiered environment, allowing you to pinpoint the component responsible for a bottleneck.
Determines the effects of changes to I/O devices, network bandwidth, and size or number of CPUs.
Helps you find the optimal configuration for hypervisors.
Forecasts the number of virtual systems your physical hosts will be able handle.
Helps iIdentify underutilized resources so they can be redeployed for other services.
Determines best candidates for virtualization projects.
Allows you to consolidate and/or virtualize servers with confidence.
Predicts the performance impact of migrating from one operating system/hardware platform to another.
Ensures selected configurations will satisfy service levels while meeting cost and power consumption limitations.
Adds sophisticated automated application and system health calculations (TPI) to TeamQuest CMIS.
In this example, the predicted effects of a ramp-up in business is forecasted over the next five years. You can see processes are predicted to spend more and more time waiting on CPU each year, indicating that a CPU upgrade should be planned to ensure that service levels will be met. This report eliminates guesswork by showing that the CPU will become a bottleneck at year three, before the disk devices shown on the report experience significant queuing problems.

This sample Active Resource utilization chart shows the percentage of the active resources used by all of the workloads on a system based on forecasted changes in the business. Notice that the CPU is predicted to become more and more utilized, but there is almost no change in the utilization of disks and controllers. Fortunately, with the configuration being modeled here, none of the devices shown will be saturated within the five year timeframe shown.

Compatibility