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
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||Using views to analyze infrastructure and virtual data|
|Reporting||Creating reports and report templates|
|Root-cause investigation||Investigating capacity and performance issues in systems|
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|
Identify issues that affect the efficiency and resolve them. For example, idle VMs, overallocated VMs.
Review and analyze the out-of-the-box recommendations for rightsizing overallocated resources based on usage patterns.
|Unused resource management|
Review and analyze the out-of-the-box recommendations for managing the unused resources (for example, idle VMs).
|Automated VM placement recommendations||Create 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|
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||Reserving capacity for upcoming services|
|Virtual planning||Use 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|
The following video (4:02) provides a brief introduction of the product.