SIOS Technology Announces New Version of SIOS iQ
May 31, 2017
Share this

SIOS Technology announced the newest version of its SIOS iQ IT analytics platform, which harnesses the power of machine learning and deep learning analytics to optimize the performance and efficiency of VMware environments.

A new flexible, API-driven integration architecture enables SIOS iQ to integrate data from a range of sources, including application monitoring tools and data aggregation fabrics such as Splunk, Hadoop and Elasticsearch.

Providing a more comprehensive view of the IT infrastructure, SIOS iQ empowers IT to automatically and instantaneously identify and correct the root causes of application performance issues and to predict future application performance with unparalleled precision and ease-of-use.

SIOS iQ replaces the alert storms, inaccuracies, and manual effort associated with legacy tools with simple, precise, and clear recommendations for problem-solving. By applying patented machine learning/deep learning analytics to a broad range of data from across IT silos, SIOS iQ learns the patterns of behavior observed across interrelated components over time. It correlates this anomalous behavior to application performance issues and changes in the infrastructure. SIOS iQ not only detects problems earlier with greater precision and clarity than traditional tools, but also identifies the root cause of issues, reveals unknown problems, and predicts future performance issues. IT can also use SIOS iQ to look at “what if” scenarios to understand the potential impact that a planned change will have on application performance before the change is actually implemented.

“The exponential growth of modern IT infrastructures in both scale and complexity is pushing IT teams to their limits,” said Jerry Melnick, President and CEO of SIOS Technology Corp. “SIOS iQ frees IT from the daily grind of reactive problem handling to proactively operate and innovate in order to add value to their core business operations. Deep learning technology in SIOS iQ analyzes tens of thousands of real-time metrics to accurately identify the root causes of performance issues and recommend specific steps to resolve them. Advanced predictive analytics in SIOS iQ forecasts future performance challenges so IT can avoid or prevent them before they occur.”

SIOS iQ can be operated as a standalone tool to find and forecast infrastructure issues and their root cause or as a foundational platform of an enterprise analytics architecture that integrates with a wide variety of application performance monitoring tools.

In addition to the flexible machine learning architecture, this update of SIOS iQ includes the following features:

- Software Developer Kit (SDK) for Broad Integration to include data from a wider range of sources including application and network monitoring tools and data aggregation fabrics such as Splunk. This SDK enables IT to query Splunk data more easily and to apply SIOS iQ machine learning-based analysis for more precise and comprehensive insights into application performance issues.
]- Meta-analysis Provides Industry’s Most Accurate Root Cause Identification. New deep learning technique identifies patterns of incidents related to application quality of service (QoS) reducing these to a small number of recurring infrastructure behaviors underlying the problem, revealing the root cause and providing precise recommendations for fixing them using a powerful new visualization technique.

- VM Packing and Placement: Recommends placement of workloads on VMware hosts to optimize VM density without the recurring thrashing and constant rebalancing caused by traditional tools.

- Enhanced Recommendations: Provides specific steps IT admins can take to solve complex performance issues and optimize efficiency.

- ROI Savings Analysis: Identifies wasted resources including rogue VMDKs, idle and oversized VMs, snapshot waste, unnecessary software licenses and wasted labor costs.

- Service Analytics: Allows IT admins to logically group and prioritize resources according to business importance. It correlates application service alerts with abnormal infrastructure behavior for fast, precise problem solving.

SIOS iQ is available immediately.

Share this

The Latest

January 23, 2020

EMA is about to embark on some new research entitled Data-Driven Automation: A Vision for the Modern CIO. We're trying to piece a puzzle together that so far we don't believe anyone to date has fully done — seek out where and how IT is moving toward integrated strategies for automation in context with real-world objectives and obstacles. We'll be looking at four use cases, each of will no doubt tell its own story ...

January 22, 2020

Many pitfalls await CIOs on the journey to the cloud. In fact, a majority of companies have been only partially successful, while some are outright failing. To learn more about this migration, Business Performance Innovation (BPI) Network surveyed IT and business executives and conducted in-depth interviews ...

January 21, 2020

The online retail industry has yet to have a Black Friday/Cyber Monday weekend unscathed by web performance (speed and availability) problems. Luckily, performance during 2019's hyper-critical online holiday shopping weekend was better than in years past, as we did not see any systemic, lengthy outages. While no website went completely down, several retailers did experience significant problems. Why have online retailers yet to figure out how to be crash-free during this all-important peak traffic period? We've identified several reasons for this ...

January 16, 2020

Gartner highlighted the trends that infrastructure and operations (I&O) leaders must start preparing for to support digital infrastructure in 2020 ...

January 15, 2020

Edge computing usage is starting to increase. The obvious follow-up question is, "So, what can I do with edge computing?" I'm glad you asked. There are lots of things you can do ...

January 14, 2020

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2020. Part 2 offers predictions about 5G and more ...

January 13, 2020

Industry experts offer predictions on how Network Performance Management (NPM) and related technologies will evolve and impact business in 2020 ...

January 09, 2020

With AI on the edge, companies will more easily monitor desktops, tablets and other end-user devices. AIOps will enable IT to guide employees on improving productivity from the applications installed on their devices while delivering greater visibility and control around the entire IT environment ...

January 08, 2020

2020 will see AIOps adoption going mainstream as use cases crystallize for improving IT efficiencies and supporting faster decision-making. Expect AI-enhanced automation to become smarter and more contextual, move towards the edge, and used increasingly for customer and user experience analysis. Yet there are significant challenges and cautions, which will shape AI's development in not only IT but across business and society ...

January 07, 2020

Industry experts offer predictions on how Digital Transformation will evolve and impact business in 2020 ...