SIOS Technology Corp. announced the latest release of SIOS iQ machine learning analytics software, which has new features that deliver unparalleled accuracy and precision in capacity utilization and 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.
“Legacy monitoring tools provide data about individual objects, such as CPU or capacity utilization). When a performance problem arises they leave IT staff to compare data points to make educated guesses about both the root cause and potential solution,” said Jerry Melnick, SIOS President and CEO. “SIOS iQ not only eliminates this guesswork by precisely identifying the cause, but it also recommends specific steps to resolve it.”
“Virtualization promises a variety of benefits, including cost savings, improved resource utilization, and efficiency, but the complex, dynamic nature of virtual environments can sometime obscure conflicts and wastage,” said Nik Rouda, Senior Analyst, ESG. “SIOS iQ leverages the power of machine learning analytics to help companies by transforming enormous volumes of data about virtual infrastructures into easily understood, actionable recommendations — a winning approach for enterprises.”
The version 3.5 release is the fifth product update SIOS has released since launching the SIOS iQ product in July 2015.
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. It provides information organized according to four key dimensions: performance, efficiency, reliability, and capacity utilization. The latest innovations from SIOS deliver industry leading simplicity and accuracy in identifying and resolving root causes of performance issues and predicting capacity needs.
SIOS iQ features are released on an ongoing basis. Version 3.5 includes the following new features:
- Capacity Forecasting Analysis – SIOS iQ understands capacity utilization pattern to forecast how many days remain before data store(s) run out of free space. This feature optimizes infrastructure without risking costly emergencies. It can be used with the SIOS iQ Snapshot Waste analysis feature to optimize storage and maintain a predictable budget.
- Enhanced Root Cause Analysis – This feature adds symptom analytics and graphically describes the topology of the impacted objects visually showing the user the infrastructure issue. In one click, it provides a deep understanding of issues by employing advanced topological behavior analysis to provide root cause of performance issues without the need to manually parse detailed data logs or compile and compare charts.
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