TrueSight Capacity Optimization overview

TrueSight Capacity Optimization is a capacity management solution that gives you the insight to optimize the use of the IT resources that you already have and to plan for new ones.

It collects and analyzes the capacity data and core metrics for CPU, memory, and storage, and provides recommendations for optimizing them.

With TrueSight Capacity Optimization, you can model future resource needs and predict what IT resources you will need. The IT infrastructure includes physical, virtual, containers, private cloud, and public clouds.

TrueSight Capacity Optimization provides the following key capabilities:

  • Capacity visibility
  • Risk management
  • Resource optimization
  • Capacity planning

Capacity visibility

Gain visibility into resource capacity, utilization and utilization trends. Use the infrastructure data that is collected to understand the usage and performance of your infrastructure elements, determine whether the infrastructure elements are used optimally and efficiently or are at risk, and plan for future capacity needs.

Capacity insight
  • Use out-of-the-box capacity views to gain visibility into your infrastructure resources.
  • View the usage and availability of all infrastructure resources - on-premises and public cloud.
  • Define customized views as per your requirements.
Using views to analyze infrastructure and virtual data
  • Use out-of-the-box reports to keep the stakeholders informed about the capacity.
  • Generate on-demand, scheduled, and by-exception reports in different formats, such as HTML, PDF, RTF, XLS and PPT.
  • Automatically publish or send the reports through emails.
  • Gain cost visibility through Chargeback reports.
Creating reports and report templates
Root-cause investigation
  • Use Investigate studies to view capacity and performance data of systems in near real-time.
  • Perform adhoc troubleshooting and root-cause analysis for problems on a specific system.
Investigating capacity and performance issues in systems

Risk management

Identify and avoid risks such as immediate resource saturation or upcoming resource saturation (for example, in the next 30 days). 

Risk identification and management

Review and analyze the out-of-the-box recommendations to detect and resolve capacity risk issues.

Using recommendations to resolve capacity risk and efficiency issues

Resource optimization

Identify issues that affect the efficiency and resolve them. For example, idle VMs, overallocated VMs.

Resource rightsizing

Review and analyze the out-of-the-box recommendations for rightsizing overallocated resources based on usage patterns.

Using recommendations to resolve capacity risk and efficiency issues

Unused resource management

Review and analyze the out-of-the-box recommendations for managing the unused resources (for example, idle VMs).

Automated VM placement recommendationsCreate virtualization studies to determine the best use of resource capacity with automated placement recommendations for new or increased VMs.Creating virtualization studies to assess VM capacity requirements

Capacity planning

Predict the infrastructure needs, estimate whether the existing infrastructure is adequate to meet the current and future demands, and accordingly plan for the new infrastructure.

Forecasting and modeling

Perform "what-if" analysis to predict the resource needs of systems and business drivers. 

Modeling capacity usage
Capacity reservations
  • Reserve resources for upcoming application releases.
  • Schedule the release of resources as applications are decommissioned.
Reserving capacity for upcoming services
Virtual planningUse the virtualization study results to determine the best placement of new workloads based on resource needs, performance requirements, and available capacity.Reviewing virtualization study results

Video introduction

The following video (4:02) provides a brief introduction of the product.

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