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Netuitive Expands Capacity Management Capabilities

Analytics Platform Unifies Performance and Capacity Management for Virtualization

At the Gartner Symposium, Netuitive announced new capacity management capabilities as an integral part of its self-learning analytics platform for virtualization and cloud management.

Because capacity management is intrinsically related to performance, Netuitive is delivering new capacity management capabilities that optimize IT utilization resulting in both improved performance and cost savings.

Netuitive’s dynamic capacity management capabilities draw upon Netuitive’s Performance Management Database (PMDB) as a single source of real-time performance data. The PMDB leverages data already being collected by leading monitoring tools (e.g. BMC, CA, IBM, HP, Microsoft, Oracle, NetApp, Compuware, VMware, and others) to deliver the richest source of IT performance information available anywhere for capacity management.

Through a variety of simple one-click capacity reports, Netuitive enables enterprises to instantly analyze resource utilization from hundreds of different angles, such as identifying the most under/over-utilized servers; identifying factors driving the workload for a group of servers; or analyzing resource usage by application, region, owner, business unit or service.

The new capabilities also complement enterprise capacity planning solutions already in place since users can also export PMDB data to third-party enterprise reporting and analysis tools.

Netuitive’s capacity management reporting tools include:
- Enterprise workload reports -- historical workload for cluster services, etc.
- Virtual Cluster Resource Forecasting – presents historical performance information along with future trends to give visibility in future demand.
- VM Utilization – a detailed view of VM resource allocation.
- VM Cluster Summary – a view of VM clusters and their hosts including capacity information.
- Priority Reports – customizable, flexible reports used to address numerous ad hoc questions i.e. "top 25 busiest servers" or "50 VM hosts with the most alarms" or “worst 50 VM clusters based on downtime,” etc.

Results are already being demonstrated. By consolidating workload alone, one of Netuitive’s large financial services customers was able to eliminate 400 VMs resulting in a 20% increase in utilization of existing hardware equating to a savings of $500,000.

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Netuitive Expands Capacity Management Capabilities

Analytics Platform Unifies Performance and Capacity Management for Virtualization

At the Gartner Symposium, Netuitive announced new capacity management capabilities as an integral part of its self-learning analytics platform for virtualization and cloud management.

Because capacity management is intrinsically related to performance, Netuitive is delivering new capacity management capabilities that optimize IT utilization resulting in both improved performance and cost savings.

Netuitive’s dynamic capacity management capabilities draw upon Netuitive’s Performance Management Database (PMDB) as a single source of real-time performance data. The PMDB leverages data already being collected by leading monitoring tools (e.g. BMC, CA, IBM, HP, Microsoft, Oracle, NetApp, Compuware, VMware, and others) to deliver the richest source of IT performance information available anywhere for capacity management.

Through a variety of simple one-click capacity reports, Netuitive enables enterprises to instantly analyze resource utilization from hundreds of different angles, such as identifying the most under/over-utilized servers; identifying factors driving the workload for a group of servers; or analyzing resource usage by application, region, owner, business unit or service.

The new capabilities also complement enterprise capacity planning solutions already in place since users can also export PMDB data to third-party enterprise reporting and analysis tools.

Netuitive’s capacity management reporting tools include:
- Enterprise workload reports -- historical workload for cluster services, etc.
- Virtual Cluster Resource Forecasting – presents historical performance information along with future trends to give visibility in future demand.
- VM Utilization – a detailed view of VM resource allocation.
- VM Cluster Summary – a view of VM clusters and their hosts including capacity information.
- Priority Reports – customizable, flexible reports used to address numerous ad hoc questions i.e. "top 25 busiest servers" or "50 VM hosts with the most alarms" or “worst 50 VM clusters based on downtime,” etc.

Results are already being demonstrated. By consolidating workload alone, one of Netuitive’s large financial services customers was able to eliminate 400 VMs resulting in a 20% increase in utilization of existing hardware equating to a savings of $500,000.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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