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SIOS Technology Announces SIOS iQ Machine Learning-Based IT Analytics Platform for Virtual Environments

SIOS Technology Corp. announced the immediate availability of SIOS iQ standard edition, a simple, intelligent software solution for understanding IT operations and resolving issues in dynamic VMware environments.

Designed to be a primary resource for IT operations information and issue resolution, SIOS iQ applies advanced machine learning analytics to a broad range of data sets - including application and infrastructure data from third party tools and frameworks - to recognize abnormal patterns of behavior and identify root causes of performance issues.

“The ease-of-use designed into our patented SIOS PERC Dashboard™ is unique in the industry,” said Jerry Melnick, COO, SIOS Technology Corp. “By putting all key information at their fingertips, SIOS iQ enables IT managers to ensure their applications are operating efficiently, that issues are identified and resolved quickly, and that VMware resources are not being wasted.”

Traditional approaches focus on recording and reporting discrete events, (e.g., CPU utilization exceeding a threshold) to identify a problem in a VMware environment. With these approaches, complex or subtle issues often go unnoticed and IT staff are inundated with alerts without guidance for prioritizing, interpreting or correcting them. SIOS iQ identifies problems and recommends the best solutions, filtering out the noise and alert storms typical in traditional approaches.

“We designed SIOS iQ to give IT managers a simple way to solve the most pressing problems in today’s complex VMware environments,” said Sergey A. Razin, Ph.D., CTO, SIOS Technology Corp. “Its advanced, extensible platform architecture enables SIOS iQ to consolidate a variety of data sources into a single repository where it can apply advanced analytics to deliver critical intelligence, information, and predictions in an easy to use form.”

To solve an issue using traditional approaches, IT departments typically assemble a team of domain experts (network, application, infrastructure, etc.), who spend hours manually compiling and analyzing data from several sources to identify causes and assign ownership of solutions. SIOS iQ eliminates the need for this approach by automatically identifying the root cause of performance issues, recommending practical solutions and accurately predicting the cost savings and performance improvements that will result if the recommendations are implemented.

"The new SIOS iQ standard edition adds VM performance management functions to existing resource efficiency capabilities to help IT organizations identify problems, determine root causes and optimize applications performance in VM environments. Built-in graphical discovery, machine learning, recommendations and predictive capabilities will help simplify the problem solving process for IT administrators and operations staff," said Tim Grieser, Program VP, Enterprise System Management Software, IDC.

Major features of the standard edition of SIOS iQ include:

- Performance Root Cause Analysis learns the relationships of objects and their normal patterns of behavior in a VMware infrastructure (hosts, VMs, application, network, storage, etc.); proactively identifies anomalies in behavior and the root causes of performance problems in any application; and recommends specific changes to resolve those problems.

- SIOS PERC Dashboard enables IT managers to quickly and easily ensure their VMware environment is optimized along four key quality of service dimensions: performance, efficiency, reliability and capacity (PERC). Provides mobile application ease of-use. The standard edition of SIOS iQ includes a variety of user enhancements, including the ability to expand charts to drill deeply into specific PERC areas, color-coded status indicators showing the criticality of issues - critical, warning and informational, and the inclusion of performance impact analysis showing all applications, VMs, hosts and data stores associated with a detected performance problem.

- Specialized Analytics for SQL Server provides advanced insight into performance issues associated with SQL Server deployments in VMware. SIOS iQ standard edition correlates interactions between SQL and infrastructure resources in the VMware environment to identify the deep root cause of performance issues.

- Enhanced Host Based Caching feature helps IT staff to easily determine how to improve storage performance for applications by using server side storage and host based caching (HBC). It analyzes the environment, including all blocks written to disk, and identifies the read ratio and the load profile to identify the VMs (and their disks) that will benefit most from HBC. SIOS iQ makes specific configuration recommendations such as how much cache to add and what cache block size to configure. It predicts the added performance that will be achieved if recommendations are implemented and shows the results in a single, easy-to-read chart.

- SIOS iQ Resource Optimization features. New standard edition of SIOS iQ provides an enhanced user interface for optimizing VMware resources by identifying and eliminating idle VMs and snapshot sprawl. SIOS iQ identifies under-used virtual machines and unnecessary snapshots and predicts the potential monthly savings that can be realized by eliminating them.

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SIOS Technology Announces SIOS iQ Machine Learning-Based IT Analytics Platform for Virtual Environments

SIOS Technology Corp. announced the immediate availability of SIOS iQ standard edition, a simple, intelligent software solution for understanding IT operations and resolving issues in dynamic VMware environments.

Designed to be a primary resource for IT operations information and issue resolution, SIOS iQ applies advanced machine learning analytics to a broad range of data sets - including application and infrastructure data from third party tools and frameworks - to recognize abnormal patterns of behavior and identify root causes of performance issues.

“The ease-of-use designed into our patented SIOS PERC Dashboard™ is unique in the industry,” said Jerry Melnick, COO, SIOS Technology Corp. “By putting all key information at their fingertips, SIOS iQ enables IT managers to ensure their applications are operating efficiently, that issues are identified and resolved quickly, and that VMware resources are not being wasted.”

Traditional approaches focus on recording and reporting discrete events, (e.g., CPU utilization exceeding a threshold) to identify a problem in a VMware environment. With these approaches, complex or subtle issues often go unnoticed and IT staff are inundated with alerts without guidance for prioritizing, interpreting or correcting them. SIOS iQ identifies problems and recommends the best solutions, filtering out the noise and alert storms typical in traditional approaches.

“We designed SIOS iQ to give IT managers a simple way to solve the most pressing problems in today’s complex VMware environments,” said Sergey A. Razin, Ph.D., CTO, SIOS Technology Corp. “Its advanced, extensible platform architecture enables SIOS iQ to consolidate a variety of data sources into a single repository where it can apply advanced analytics to deliver critical intelligence, information, and predictions in an easy to use form.”

To solve an issue using traditional approaches, IT departments typically assemble a team of domain experts (network, application, infrastructure, etc.), who spend hours manually compiling and analyzing data from several sources to identify causes and assign ownership of solutions. SIOS iQ eliminates the need for this approach by automatically identifying the root cause of performance issues, recommending practical solutions and accurately predicting the cost savings and performance improvements that will result if the recommendations are implemented.

"The new SIOS iQ standard edition adds VM performance management functions to existing resource efficiency capabilities to help IT organizations identify problems, determine root causes and optimize applications performance in VM environments. Built-in graphical discovery, machine learning, recommendations and predictive capabilities will help simplify the problem solving process for IT administrators and operations staff," said Tim Grieser, Program VP, Enterprise System Management Software, IDC.

Major features of the standard edition of SIOS iQ include:

- Performance Root Cause Analysis learns the relationships of objects and their normal patterns of behavior in a VMware infrastructure (hosts, VMs, application, network, storage, etc.); proactively identifies anomalies in behavior and the root causes of performance problems in any application; and recommends specific changes to resolve those problems.

- SIOS PERC Dashboard enables IT managers to quickly and easily ensure their VMware environment is optimized along four key quality of service dimensions: performance, efficiency, reliability and capacity (PERC). Provides mobile application ease of-use. The standard edition of SIOS iQ includes a variety of user enhancements, including the ability to expand charts to drill deeply into specific PERC areas, color-coded status indicators showing the criticality of issues - critical, warning and informational, and the inclusion of performance impact analysis showing all applications, VMs, hosts and data stores associated with a detected performance problem.

- Specialized Analytics for SQL Server provides advanced insight into performance issues associated with SQL Server deployments in VMware. SIOS iQ standard edition correlates interactions between SQL and infrastructure resources in the VMware environment to identify the deep root cause of performance issues.

- Enhanced Host Based Caching feature helps IT staff to easily determine how to improve storage performance for applications by using server side storage and host based caching (HBC). It analyzes the environment, including all blocks written to disk, and identifies the read ratio and the load profile to identify the VMs (and their disks) that will benefit most from HBC. SIOS iQ makes specific configuration recommendations such as how much cache to add and what cache block size to configure. It predicts the added performance that will be achieved if recommendations are implemented and shows the results in a single, easy-to-read chart.

- SIOS iQ Resource Optimization features. New standard edition of SIOS iQ provides an enhanced user interface for optimizing VMware resources by identifying and eliminating idle VMs and snapshot sprawl. SIOS iQ identifies under-used virtual machines and unnecessary snapshots and predicts the potential monthly savings that can be realized by eliminating them.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.