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Virtual Instruments Launches Technology Alliance Program

Virtual Instruments announced the launch of the Virtual Instruments Technology Alliance Program.

The new program extends Virtual Instruments’ collaborative global ecosystem for enterprise-grade hybrid infrastructure management solutions and ensures the testing and validation of product integrations with Virtual Instruments’ award-winning performance management products.

Enterprises are increasingly demanding an open ecosystem that offers vendor-independent testing and monitoring tools, creating the opportunity for companies to build mutually beneficial relationships to offer the best possible products and services to their customers. Companies participating in the Virtual Instruments Technology Alliance Program join an effort to create the largest ecosystem for third-party interoperable vendors, a significant value-add for companies looking to deliver improved product integrations for customers’ hybrid infrastructure monitoring and management needs. Members of the Technology Alliance Program are provided the opportunity to test and validate the integration of their offerings with Virtual Instruments’ technology and resell integrated solutions more effectively through jointly-facilitated strategic sales engagements.

“Organizations that are solely dependent on vendor recommendations, or partners that are aligned with specific vendors, are increasingly at risk of leaving their IT teams vulnerable to performance visibility gaps due to poorly integrated infrastructure monitoring. This highlights the need for tested and validated product integrations, backed by the industry-leading companies customers trust,” said Jaymin Patel, VP of Product Ecosystem Development at Virtual Instruments. “The Virtual Instruments Technology Alliance Program is the only vendor-agnostic alliance program in the hybrid infrastructure performance management industry and offers more companies the opportunity to deploy real-time hybrid infrastructure performance monitoring to better assist customers in identifying the root cause of performance issues.”

Virtual Instruments has teamed with industry-leading hardware and software companies to deliver best-in-class hybrid infrastructure management solutions. The integrations pursued by participating partners will include solutions based on Virtual Instruments’ portfolio of industry-leading solutions, comprised of the VirtualWisdom hybrid infrastructure performance monitoring and analytics platform, the WorkloadWisdom storage workload performance validation platform, and the Cloud Migration Readiness (CMR) service.

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Virtual Instruments Launches Technology Alliance Program

Virtual Instruments announced the launch of the Virtual Instruments Technology Alliance Program.

The new program extends Virtual Instruments’ collaborative global ecosystem for enterprise-grade hybrid infrastructure management solutions and ensures the testing and validation of product integrations with Virtual Instruments’ award-winning performance management products.

Enterprises are increasingly demanding an open ecosystem that offers vendor-independent testing and monitoring tools, creating the opportunity for companies to build mutually beneficial relationships to offer the best possible products and services to their customers. Companies participating in the Virtual Instruments Technology Alliance Program join an effort to create the largest ecosystem for third-party interoperable vendors, a significant value-add for companies looking to deliver improved product integrations for customers’ hybrid infrastructure monitoring and management needs. Members of the Technology Alliance Program are provided the opportunity to test and validate the integration of their offerings with Virtual Instruments’ technology and resell integrated solutions more effectively through jointly-facilitated strategic sales engagements.

“Organizations that are solely dependent on vendor recommendations, or partners that are aligned with specific vendors, are increasingly at risk of leaving their IT teams vulnerable to performance visibility gaps due to poorly integrated infrastructure monitoring. This highlights the need for tested and validated product integrations, backed by the industry-leading companies customers trust,” said Jaymin Patel, VP of Product Ecosystem Development at Virtual Instruments. “The Virtual Instruments Technology Alliance Program is the only vendor-agnostic alliance program in the hybrid infrastructure performance management industry and offers more companies the opportunity to deploy real-time hybrid infrastructure performance monitoring to better assist customers in identifying the root cause of performance issues.”

Virtual Instruments has teamed with industry-leading hardware and software companies to deliver best-in-class hybrid infrastructure management solutions. The integrations pursued by participating partners will include solutions based on Virtual Instruments’ portfolio of industry-leading solutions, comprised of the VirtualWisdom hybrid infrastructure performance monitoring and analytics platform, the WorkloadWisdom storage workload performance validation platform, and the Cloud Migration Readiness (CMR) service.

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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 ...

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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 ...