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Virtual Instruments Introduces App-Centric Version of VirtualWisdom

Virtual Instruments announced VirtualWisdom 5.4, the latest version of the company’s infrastructure performance monitoring and analytics platform.

By visualizing the infrastructure in the context of the application, VirtualWisdom enables organizations to accelerate digital transformation, improve business agility and proactively manage the cost and performance of their enterprise data centers.

The modern enterprise data center offers the promise of improved business agility in addition to providing a scalable foundation for an enterprise’s business-critical applications. However, the reality is that the scale and complexity associated with these highly virtualized, multi-vendor environments is beyond human comprehension. Legacy silo-centric monitoring tools only provide limited visibility into the various components of the underlying infrastructure. These tools have no understanding of how applications relate to infrastructure or the relative business value of the applications running on the infrastructure. As a result, application owners and line-of-business (LOB) managers aren’t aligned with the infrastructure teams on how to proactively assure application performance, control costs and reduce risk within their constantly changing data centers.

The solution lies in managing infrastructure from an application-centric point of view. The landmark new release of VirtualWisdom achieves this by holistically monitoring, analyzing and optimizing the performance, utilization and health of IT infrastructure within the context of the application. By discovering and mapping applications to the infrastructure, associating their business critically and applying self-learning-based analytics, VirtualWisdom enables enterprises to guarantee performance-based service level agreements (SLAs) for key stakeholders within the organization, including application owners, LOB owners and IT operations teams.

The new VirtualWisdom app-centric IPM platform is comprised of three key capabilities: Application Service Assurance; Workload and Capacity Optimization; and Problem Resolution and Avoidance. These are enabled by Virtual Instruments’ highly scalable wire and machine data instrumentation and app-centric analytics. The integrated capabilities provide deep infrastructure insights to every team relying upon the performance and availability of business-critical applications. As a result, the new release of VirtualWisdom enables proactive performance management and signals the beginning of the app-centric IPM era by establishing it as the best approach to managing the next generation data center.

“The research we’ve conducted indicates increasing infrastructure complexity is the primary inhibitor to enabling comprehensive, application-focused IT service delivery,” noted Steve Brasen, Research Director with IT industry analyst firm Enterprise Management Associates. “To meet rapidly evolving requirements for highly available and optimally performing IT services, organizations require holistic visibility across their entire IT ecosystems that analytically maps application performance directly to the underlying infrastructure and enables the dynamic placement of workloads. This latest release of VirtualWisdom enhances the platform’s app-centric IPM approach to deliver what is, to date, the most comprehensive IT infrastructure visibility attainable from a single pane of glass.”

Features and benefits of the new version of VirtualWisdom include:

Application Service Assurance analytics align infrastructure performance with application requirements by:
- Providing executive and LOB visibility through easy-to-use executive and application-level dashboards
- Enabling Tiered Service Level policies to assure the performance of business-critical applications running on shared infrastructure
- Discovering and mapping application usage of dynamic and virtualized infrastructure

Workload and Capacity Optimization analytics proactively manage workloads and capacity from the VM to the storage array by:
- Optimizing end-to-end workload placement across VM, network and storage
- Proactively detecting potential performance issues and optimization opportunities through seasonal behavior analytics

Problem Resolution and Avoidance analytics enable IT teams to proactively collaborate, troubleshoot and diagnose complex performance issues by:
- Offering Investigation Runbooks that provide guided analytics to identify and resolve issues for every alarm type, while enabling chat-ops to improve cross-team collaboration
- Detecting anomalies, and automatically comparing to performance baselines to detect and correlate potential root causes of issues

Scalable Instrumentation enables deep wire and machine data collection across the data center in real-time by:
- Adding deeper visibility of software defined data centers and Hyper-converged infrastructure including VX:Rails, Nutanix, Simplivity, vSAN, ScaleIO and Netflow
- Expanding high fidelity wire data support for NAS and SAN to include SMB and FCoE protocols, respectively

“As the leading provider of real-time monitoring solutions, we have an intimate understanding of the enormous challenges created when an enterprise lacks insight into the infrastructure supporting their business applications,” said Philippe Vincent, CEO of Virtual Instruments. “With the new release of VirtualWisdom, we’re able to remove the anxiety our customers felt by ‘flying blind’ with their business-critical applications. By leveraging VirtualWisdom to take an app-centric approach to the management of their infrastructures, IT operations and architecture teams can collaboratively work with their application owners and business unit executives to proactively optimize the performance and cost of the supporting infrastructure. This increases business agility and the overall value of the infrastructure to the business.”

VirtualWisdom 5.4 is available at the end of December.

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Virtual Instruments Introduces App-Centric Version of VirtualWisdom

Virtual Instruments announced VirtualWisdom 5.4, the latest version of the company’s infrastructure performance monitoring and analytics platform.

By visualizing the infrastructure in the context of the application, VirtualWisdom enables organizations to accelerate digital transformation, improve business agility and proactively manage the cost and performance of their enterprise data centers.

The modern enterprise data center offers the promise of improved business agility in addition to providing a scalable foundation for an enterprise’s business-critical applications. However, the reality is that the scale and complexity associated with these highly virtualized, multi-vendor environments is beyond human comprehension. Legacy silo-centric monitoring tools only provide limited visibility into the various components of the underlying infrastructure. These tools have no understanding of how applications relate to infrastructure or the relative business value of the applications running on the infrastructure. As a result, application owners and line-of-business (LOB) managers aren’t aligned with the infrastructure teams on how to proactively assure application performance, control costs and reduce risk within their constantly changing data centers.

The solution lies in managing infrastructure from an application-centric point of view. The landmark new release of VirtualWisdom achieves this by holistically monitoring, analyzing and optimizing the performance, utilization and health of IT infrastructure within the context of the application. By discovering and mapping applications to the infrastructure, associating their business critically and applying self-learning-based analytics, VirtualWisdom enables enterprises to guarantee performance-based service level agreements (SLAs) for key stakeholders within the organization, including application owners, LOB owners and IT operations teams.

The new VirtualWisdom app-centric IPM platform is comprised of three key capabilities: Application Service Assurance; Workload and Capacity Optimization; and Problem Resolution and Avoidance. These are enabled by Virtual Instruments’ highly scalable wire and machine data instrumentation and app-centric analytics. The integrated capabilities provide deep infrastructure insights to every team relying upon the performance and availability of business-critical applications. As a result, the new release of VirtualWisdom enables proactive performance management and signals the beginning of the app-centric IPM era by establishing it as the best approach to managing the next generation data center.

“The research we’ve conducted indicates increasing infrastructure complexity is the primary inhibitor to enabling comprehensive, application-focused IT service delivery,” noted Steve Brasen, Research Director with IT industry analyst firm Enterprise Management Associates. “To meet rapidly evolving requirements for highly available and optimally performing IT services, organizations require holistic visibility across their entire IT ecosystems that analytically maps application performance directly to the underlying infrastructure and enables the dynamic placement of workloads. This latest release of VirtualWisdom enhances the platform’s app-centric IPM approach to deliver what is, to date, the most comprehensive IT infrastructure visibility attainable from a single pane of glass.”

Features and benefits of the new version of VirtualWisdom include:

Application Service Assurance analytics align infrastructure performance with application requirements by:
- Providing executive and LOB visibility through easy-to-use executive and application-level dashboards
- Enabling Tiered Service Level policies to assure the performance of business-critical applications running on shared infrastructure
- Discovering and mapping application usage of dynamic and virtualized infrastructure

Workload and Capacity Optimization analytics proactively manage workloads and capacity from the VM to the storage array by:
- Optimizing end-to-end workload placement across VM, network and storage
- Proactively detecting potential performance issues and optimization opportunities through seasonal behavior analytics

Problem Resolution and Avoidance analytics enable IT teams to proactively collaborate, troubleshoot and diagnose complex performance issues by:
- Offering Investigation Runbooks that provide guided analytics to identify and resolve issues for every alarm type, while enabling chat-ops to improve cross-team collaboration
- Detecting anomalies, and automatically comparing to performance baselines to detect and correlate potential root causes of issues

Scalable Instrumentation enables deep wire and machine data collection across the data center in real-time by:
- Adding deeper visibility of software defined data centers and Hyper-converged infrastructure including VX:Rails, Nutanix, Simplivity, vSAN, ScaleIO and Netflow
- Expanding high fidelity wire data support for NAS and SAN to include SMB and FCoE protocols, respectively

“As the leading provider of real-time monitoring solutions, we have an intimate understanding of the enormous challenges created when an enterprise lacks insight into the infrastructure supporting their business applications,” said Philippe Vincent, CEO of Virtual Instruments. “With the new release of VirtualWisdom, we’re able to remove the anxiety our customers felt by ‘flying blind’ with their business-critical applications. By leveraging VirtualWisdom to take an app-centric approach to the management of their infrastructures, IT operations and architecture teams can collaboratively work with their application owners and business unit executives to proactively optimize the performance and cost of the supporting infrastructure. This increases business agility and the overall value of the infrastructure to the business.”

VirtualWisdom 5.4 is available at the end of December.

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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 ...

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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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