Capacity Planning


Leveraging your IT infrastructure investment is critical to your company’s profitability. User demands can fluctuate dramatically at any moment, making it increasingly important to maintain service delivery at all levels at all times. Adding hardware or network capacity in order to avoid service level issues is no longer the most efficient way to meet your business goals. Sightline’s advanced ForSight solution enables IT professionals to accurately plan for infrastructure capacity changes that assure consistent service levels and optimal ROI.

Product Features

Data Collection – ForSight provides a transaction-oriented view of service levels, based on in-depth resource utilization data collected by Sightline. This data is used to generate a transaction performance model (see figure below) that displays the content of transaction response time, including percentage of time spent in CPU, CPU queuing and I/O subsystem delay factors.

ForSight’s comprehensive view of service transactions enables you to model system performance based on resource reallocation or changes in transaction frequency. As a result, you can prioritize critical business transactions to achieve business goals and maximize IT resources.


Validation & Simulation – ForSight continues Sightline’s tradition of optimized analysis solutions for capacity planning success. Our model simulation provides a confidence interval of +/- 10%, an efficiency level that has been validated by enterprise group users.

Model Definition – With ForSight’s advanced modeling technology, you can model changes in infrastructure resources based on user-defined “What If?” scenarios, including hardware re-configurations or spikes in transaction service frequency. For example, you want to pose the following question: “What if my requests to buy a widget increase by 20% next month?” ForSight’s extensive hardware knowledge base enables you to dynamically define or add new components and performance characteristics. Leveraging this data, you can simulate a broad range of service demands then observe how they impact various hardware configurations.

Configuration Definition – ForSight also enables you to dynamically modify hardware configurations and transaction profiles. For example, you want to model database throughput in order to perform a cost/benefit analysis of upgrading either your server configuration or storage subsystem. ForSight can automatically generate performance reports for both proposed configurations, providing data you can compare with an existing baseline model. The resulting report helps you to identify the most cost-effective option to increase system performance.

Workload Definition – ForSight helps you predict potential bottlenecks across multiple enterprise environments by defining increased workload service demands and then generating reports that measure their impact on infrastructure. For example, using ForSight’s patented I/O modeling feature you can run a “What If?” scenario that measures the impact of doubling disk cache size on overall transaction service level.