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TrueSight Capacity Optimization

by BMC Software · Since 1980
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ActiveAvailable globallyCloud
Quick facts
VendorBMC Software
Year launched1980
StatusActive
Location2103 Citywest Blvd, Houston, TX, United States, 77042
Countries servedGlobal
Languages8
IntegrationsN/A
Free tierN/A
Free trialN/A
Contact salesYES

About TrueSight Capacity Optimization

BMC Software’s TrueSight Capacity Optimization is an advanced IT management solution designed to help organizations plan, analyze, and optimize their IT infrastructure capacity.

BMC Software’s TrueSight Capacity Optimization is an advanced IT management solution designed to help organizations plan, analyze, and optimize their IT infrastructure capacity. It is primarily focused on ensuring that businesses can efficiently allocate resources, avoid performance bottlenecks, and reduce unnecessary infrastructure costs. The platform provides predictive analytics, capacity modeling, and performance monitoring across hybrid environments, including on-premise data centers and cloud infrastructures. Key features include forecasting tools, resource utilization analysis, and scenario modeling that enable IT teams to make informed decisions about scaling and resource allocation.

Pros & Cons

Pros
  • It stops you from overspending on cloud or hardware by pointing out exactly what you aren't using.
  • The 30-day risk warning gives you a massive head start to fix crashes before they actually happen.
  • Having one single dashboard for both your local servers and public cloud saves a lot of toggling time.
  • It takes the guesswork out of growth by simulating "what-if" scenarios before you commit to new hardware.
  • The automated reports mean you don't have to manually build spreadsheets for your boss every single week.
Cons
  • The sheer amount of data and complex views might feel pretty overwhelming for a first-time user.
  • You are heavily reliant on the quality of data collection to get any useful recommendations out of it.
  • Setting up all the custom views and integrations to see your whole "stack" looks like a time-sink.
  • It seems more geared toward massive enterprises, making it potentially too "heavy" for smaller, simpler IT setups.
  • While it flags problems well, you still need a human expert to actually vet and trigger the recommendations.

Features

Key features

Capacity Visibility

Provides a unified view of resource utilization across on-premises and public cloud environments to ensure infrastructure is running efficiently.

Predictive Risk Management

Identifies potential resource saturation before it happens, allowing teams to resolve bottlenecks up to 30 days in advance.

Resource Rightsizing

Analyzes usage patterns to provide specific recommendations for shrinking overallocated resources or reclaiming idle VMs.

Resource Rightsizing

Analyzes usage patterns to provide specific recommendations for shrinking overallocated resources or reclaiming idle VMs.

"What-If" Forecasting

Enables users to model future scenarios and simulate how new business demands will impact existing infrastructure capacity.

Automated Placement Recommendations

Calculates the most efficient location for new or increased workloads based on performance requirements and available headroom.

Capacity Reservations

Manages the lifecycle of IT resources by reserving space for upcoming application launches and scheduling decommissioned assets.

Additional features

Capacity Insight

Offers out-of-the-box and customizable views to monitor the health and availability of all infrastructure elements.

Automated Reporting

Generates and distributes scheduled reports in various formats like PDF and Excel to keep stakeholders informed.

Chargeback Reporting

Provides visibility into the costs associated with resource usage for better financial accountability.

Root-Cause Investigation

Facilitates near real-time troubleshooting and deep-dive studies into specific system performance issues.

Risk Identification

Detects immediate and future capacity threats using automated diagnostic recommendations.

Unused Resource Management

Scans the environment for idle virtual machines that can be shut down to save costs.

Virtualization Studies

Assesses the specific capacity requirements of virtual machines to determine optimal resource allocation.

Forecasting and Modeling

Uses historical data to predict future resource needs for both physical systems and business drivers.

Workload Placement

Utilizes study results to decide where new workloads should live to maintain peak performance.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
8
Interface languages
16
Billing currencies

Interface languages

EnglishSpanishFrenchGermanItalianJapanesePortugueseChinese

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇳CNY🇮🇳INR🇭🇰HKD🇸🇪SEK🇨🇭CHF🇰🇷KRW🇸🇬SGD🇷🇺RUB🇲🇽MXN🇧🇷BRL

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