
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.
The Latest
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...
Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...
For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...
New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...
Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...
In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ...
In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...