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SIOS Technology Announces Newest Release of SIOS iQ Machine Learning Analytics

SIOS Technology announced the latest release of SIOS iQ machine learning analytics software, which has new features that deliver accuracy and precision in performance root cause analysis for VMware environments.

It also includes dashboard enhancements for improved usability and a graphical topological impact view enabling faster identification and resolution of issues.

“SIOS iQ meets a growing need for accurate, real-time insight into application and server performance, efficiency, and reliability in VMware environments,” said Jason Bloomberg, President, Intellyx. “The SIOS PERC Dashboard and SIOS iQ’s graphical topological impact view and search features cut through the vast volumes of data ‘noise’ these complex environments generate, identifying critical issues and their root causes across the entire virtual infrastructure.”

“By putting all key information about an organization’s infrastructure 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,” said Jerry Melnick, President and CEO, SIOS Technology. “These newest enhancements further simplify the understanding of IT operations and help resolve issues in dynamic virtual environments.”

Designed to be a powerful platform for IT operations information and issue resolution, SIOS iQ applies an advanced data analytics/Big Data approach 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 latest innovations from SIOS deliver industry leading precision and accuracy in identifying and resolving root causes of performance issues.

SIOS iQ features are released on an ongoing basis. New releases in Q4 2015 include: Version 3.2 released in October featuring support for VMware vSphere 6.0, search functionality, and enhancements to performance root cause analysis.

Version 3.3 is immediately available and includes:

- Immediate Time to Value with Best Practices Analysis – New best practices analysis feature enables SIOS iQ to provide insights on performance, efficiency, reliability, and capacity utilization immediately after implementation, accelerating its automated process of learning and characterizing behavior of interrelated objects in the infrastructure.

- VMware vRealize Operations Manager 6.0 (vROps) Event Injection –SIOS iQ enables vROps to display: high availability cluster health; host-based caching configuration recommendations; undersized VMs; and idle resources including snapshot and VM sprawl through its Environment Health map and issue display. With SIOS iQ, vROps users gain precise identification of performance issues, such as “noisy neighbors”, hardware degradation, and slow application performance with specific recommendations for remediation.

- Enhanced Performance Issue Event Correlation – SIOS iQ can now identify additional root causes of performance issues, including network anomalies (released in v3.2), newly provisioned VM(s), Live Migration of VMs, and under-sized VMs.

The next release of SIOS iQ, version 3.4, will be available by the end of the year and will include:

- Topology Impact Analysis View – SIOS iQ provides a dynamic, visual map of the VMware infrastructure showing interrelated objects (VMs, network, storage, and applications) and their interrelationships highlighting current status and highlighting anomalous behavior. Touch-enabled drill down screens enable IT to explore detailed root causes of performance issues and recommendations for improvement.

- Semi-Supervised Learning – IT staff can augment SIOS iQ’s understanding of both normal and anomalous infrastructure behavior by adding individualized parameters for increased precision and accuracy.

- Reliability Analysis for VMware HA – SIOS iQ enables users to ensure their VMware infrastructure is protected in the event of host failures. The SIOS PERC Dashboard™ reliability indicator shows the number of host failures that a cluster has sustained over time and indicates when there are not enough hosts to sustain future failures.

SIOS iQ version 3.3 is immediately available. SIOS iQ version 3.4 will be available by the end of the year.

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SIOS Technology Announces Newest Release of SIOS iQ Machine Learning Analytics

SIOS Technology announced the latest release of SIOS iQ machine learning analytics software, which has new features that deliver accuracy and precision in performance root cause analysis for VMware environments.

It also includes dashboard enhancements for improved usability and a graphical topological impact view enabling faster identification and resolution of issues.

“SIOS iQ meets a growing need for accurate, real-time insight into application and server performance, efficiency, and reliability in VMware environments,” said Jason Bloomberg, President, Intellyx. “The SIOS PERC Dashboard and SIOS iQ’s graphical topological impact view and search features cut through the vast volumes of data ‘noise’ these complex environments generate, identifying critical issues and their root causes across the entire virtual infrastructure.”

“By putting all key information about an organization’s infrastructure 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,” said Jerry Melnick, President and CEO, SIOS Technology. “These newest enhancements further simplify the understanding of IT operations and help resolve issues in dynamic virtual environments.”

Designed to be a powerful platform for IT operations information and issue resolution, SIOS iQ applies an advanced data analytics/Big Data approach 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 latest innovations from SIOS deliver industry leading precision and accuracy in identifying and resolving root causes of performance issues.

SIOS iQ features are released on an ongoing basis. New releases in Q4 2015 include: Version 3.2 released in October featuring support for VMware vSphere 6.0, search functionality, and enhancements to performance root cause analysis.

Version 3.3 is immediately available and includes:

- Immediate Time to Value with Best Practices Analysis – New best practices analysis feature enables SIOS iQ to provide insights on performance, efficiency, reliability, and capacity utilization immediately after implementation, accelerating its automated process of learning and characterizing behavior of interrelated objects in the infrastructure.

- VMware vRealize Operations Manager 6.0 (vROps) Event Injection –SIOS iQ enables vROps to display: high availability cluster health; host-based caching configuration recommendations; undersized VMs; and idle resources including snapshot and VM sprawl through its Environment Health map and issue display. With SIOS iQ, vROps users gain precise identification of performance issues, such as “noisy neighbors”, hardware degradation, and slow application performance with specific recommendations for remediation.

- Enhanced Performance Issue Event Correlation – SIOS iQ can now identify additional root causes of performance issues, including network anomalies (released in v3.2), newly provisioned VM(s), Live Migration of VMs, and under-sized VMs.

The next release of SIOS iQ, version 3.4, will be available by the end of the year and will include:

- Topology Impact Analysis View – SIOS iQ provides a dynamic, visual map of the VMware infrastructure showing interrelated objects (VMs, network, storage, and applications) and their interrelationships highlighting current status and highlighting anomalous behavior. Touch-enabled drill down screens enable IT to explore detailed root causes of performance issues and recommendations for improvement.

- Semi-Supervised Learning – IT staff can augment SIOS iQ’s understanding of both normal and anomalous infrastructure behavior by adding individualized parameters for increased precision and accuracy.

- Reliability Analysis for VMware HA – SIOS iQ enables users to ensure their VMware infrastructure is protected in the event of host failures. The SIOS PERC Dashboard™ reliability indicator shows the number of host failures that a cluster has sustained over time and indicates when there are not enough hosts to sustain future failures.

SIOS iQ version 3.3 is immediately available. SIOS iQ version 3.4 will be available by the end of the year.

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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 ...

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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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