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Virtual Instruments Extends Cisco Integration to AppDynamics

Virtual Instruments announced the availability of integrations with Cisco SAN Telemetry Streaming and AppDynamics’ application intelligence platform with VirtualWisdom 5.6, the latest version of the company’s comprehensive infrastructure performance monitoring and analytics platform.

The new capabilities allow VirtualWisdom and AppDynamics to share a common view of the infrastructure consumed by business applications, enabling a collective understanding of application topology. The integration between VirtualWisdom and the SAN Telemetry Streaming facilities of Cisco’s MDS 9700 32G Module, along with the entire Cisco MDS 32GB portfolio, enables holistic visibility into Fiber Channel SAN Fabrics. Together, the Virtual Instruments and Cisco integrations help ensure the highest availability and performance of business-critical applications.

In October 2017, Virtual Instruments announced an innovative technology integration with Cisco to dramatically simplify and lower the cost of real-time performance and availability monitoring for business-critical infrastructures. Now available, the integration of Cisco SAN Telemetry Streaming with VirtualWisdom eliminates the requirement to deploy physical network TAPs and probes.

VirtualWisdom enables Cisco customers to find and resolve infrastructure issues before they can impact application service levels by applying machine learning to determine root cause and recommending remedies and configuration optimizations to proactively resolve problems. VirtualWisdom 5.6 offers significant value in three key areas – Application Service Assurance, Workload Infrastructure Balancing, and Problem Resolution & Remediation:

- Application Service Assurance: VirtualWisdom 5.6 discovers key applications with their associated SLAs and automatically recommends a custom monitoring policy to each infrastructure service. This translates into a non-manual policy assignment and fewer, but more meaningful, actionable alerts. VirtualWisdom 5.6 delivers on the first phase of integration with AppDynamics by discovering applications from the AppDynamics controller and providing visibility into the application through the SAN fabric down to the storage LUN. This enables shared context and understanding of how the infrastructure supports application SLAs, resulting in accelerated problem resolution. VirtualWisdom can also detect applications using ServiceNow, SSH/WMI, and through the analysis of NetFlow from physical routers/switches and the VMware vSphere Distributed Switch.

- Workload Infrastructure Balancing: VirtualWisdom analytics continuously assess the infrastructure environment from the virtual machine to storage in order to identify workload infrastructure imbalance conditions and provide optimal re-balancing recommendations.

- Problem Resolution & Avoidance: VirtualWisdom 5.6 offers algorithmically-driven automated correlation services that replace traditional, manual methods of remediation. When an alert occurs, a case is automatically opened that starts an investigation, which automatically generates the charts necessary to solve problems and then recommends an analytic to guide the user through actual remediation procedures. VirtualWisdom goes beyond identifying a problem and offers guidance to accelerate resolution.

“Modern IT operations within the enterprise consists of both legacy and modern application architectures and their supporting infrastructure systems. Constructing an application to infrastructure topology is a major challenge, yet it is required for successful transformative projects and ongoing operations. By integrating VirtualWisdom’s ability to map the logical and physical infrastructure from compute to storage, combined with AppDynamics automated transactional topology flow map, enterprises have a new and powerful solution for IT operations.” said Jonah Kowall, VP of Market Development at AppDynamics, a Cisco company.

The integration of VirtualWisdom with Cisco’s SAN Telemetry Streaming and AppDynamics’ application intelligence platform allows customers to deploy more granular monitoring that provides additional actionable insight across their organizations.

“The integration with Cisco means our customers can seamlessly gain the visibility of a fully instrumented infrastructure in the context of the application, as well as accelerated problem resolution,” said Tim Van Ash, SVP of Products at Virtual Instruments. “VirtualWisdom 5.6 offers real-time visibility without the costs involved with installing hardware probes and TAPs, resulting in superior application performance assurance and more informed problem solving.”

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Virtual Instruments Extends Cisco Integration to AppDynamics

Virtual Instruments announced the availability of integrations with Cisco SAN Telemetry Streaming and AppDynamics’ application intelligence platform with VirtualWisdom 5.6, the latest version of the company’s comprehensive infrastructure performance monitoring and analytics platform.

The new capabilities allow VirtualWisdom and AppDynamics to share a common view of the infrastructure consumed by business applications, enabling a collective understanding of application topology. The integration between VirtualWisdom and the SAN Telemetry Streaming facilities of Cisco’s MDS 9700 32G Module, along with the entire Cisco MDS 32GB portfolio, enables holistic visibility into Fiber Channel SAN Fabrics. Together, the Virtual Instruments and Cisco integrations help ensure the highest availability and performance of business-critical applications.

In October 2017, Virtual Instruments announced an innovative technology integration with Cisco to dramatically simplify and lower the cost of real-time performance and availability monitoring for business-critical infrastructures. Now available, the integration of Cisco SAN Telemetry Streaming with VirtualWisdom eliminates the requirement to deploy physical network TAPs and probes.

VirtualWisdom enables Cisco customers to find and resolve infrastructure issues before they can impact application service levels by applying machine learning to determine root cause and recommending remedies and configuration optimizations to proactively resolve problems. VirtualWisdom 5.6 offers significant value in three key areas – Application Service Assurance, Workload Infrastructure Balancing, and Problem Resolution & Remediation:

- Application Service Assurance: VirtualWisdom 5.6 discovers key applications with their associated SLAs and automatically recommends a custom monitoring policy to each infrastructure service. This translates into a non-manual policy assignment and fewer, but more meaningful, actionable alerts. VirtualWisdom 5.6 delivers on the first phase of integration with AppDynamics by discovering applications from the AppDynamics controller and providing visibility into the application through the SAN fabric down to the storage LUN. This enables shared context and understanding of how the infrastructure supports application SLAs, resulting in accelerated problem resolution. VirtualWisdom can also detect applications using ServiceNow, SSH/WMI, and through the analysis of NetFlow from physical routers/switches and the VMware vSphere Distributed Switch.

- Workload Infrastructure Balancing: VirtualWisdom analytics continuously assess the infrastructure environment from the virtual machine to storage in order to identify workload infrastructure imbalance conditions and provide optimal re-balancing recommendations.

- Problem Resolution & Avoidance: VirtualWisdom 5.6 offers algorithmically-driven automated correlation services that replace traditional, manual methods of remediation. When an alert occurs, a case is automatically opened that starts an investigation, which automatically generates the charts necessary to solve problems and then recommends an analytic to guide the user through actual remediation procedures. VirtualWisdom goes beyond identifying a problem and offers guidance to accelerate resolution.

“Modern IT operations within the enterprise consists of both legacy and modern application architectures and their supporting infrastructure systems. Constructing an application to infrastructure topology is a major challenge, yet it is required for successful transformative projects and ongoing operations. By integrating VirtualWisdom’s ability to map the logical and physical infrastructure from compute to storage, combined with AppDynamics automated transactional topology flow map, enterprises have a new and powerful solution for IT operations.” said Jonah Kowall, VP of Market Development at AppDynamics, a Cisco company.

The integration of VirtualWisdom with Cisco’s SAN Telemetry Streaming and AppDynamics’ application intelligence platform allows customers to deploy more granular monitoring that provides additional actionable insight across their organizations.

“The integration with Cisco means our customers can seamlessly gain the visibility of a fully instrumented infrastructure in the context of the application, as well as accelerated problem resolution,” said Tim Van Ash, SVP of Products at Virtual Instruments. “VirtualWisdom 5.6 offers real-time visibility without the costs involved with installing hardware probes and TAPs, resulting in superior application performance assurance and more informed problem solving.”

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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...