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Glossary: IT Analytics

June 27, 2021 by Jason Aw Leave a Comment

glossary IT Analytics

Glossary of Terms: IT Analytics

Definition: IT infrastructure refers to the analysis of data from the hardware, software, network, storage, application and compute resources. IT professionals use IT analytics to ensure their infrastructure is optimized, Service Level Agreements are met and that application performance is maintained for end users.

Reproduced from SIOS

Filed Under: Clustering Simplified Tagged With: glossary, IT Analytics

Put an End to Trial and Error with Machine Learning Analytics

June 6, 2017 by Margaret Hoagland 2 Comments

When end-users report slow performance in business-critical applications, IT teams everything to fix the problem as quickly as possible. In virtual environments, where the root causes of problems are rarely straightforward, they may spend days trying and testing multiple different solutions. Troubleshooting this way creates a huge drain on IT time and resources – and even occasionally, morale. IT teams want to be innovators who add value to their business operations with new technology that automate manual tasks, increase end user productivity, streamline costs and respond to business needs quickly and flexibly. Unfortunately, without the insights and automation that machine learning analytics provides, IT departments are wasting more and more time and resources on low-value problem-solving.

ViSIOS iQ Machine Learning Analytics Eliminates Trial-and-Error Frustrationrtual Infrastructures are Too Complex
for One-Dimensional Approaches

What is causing this problem-solving quagmire? IT is running more business critical applications in complex, dynamic virtual infrastructures where traditional diagnostic and monitoring tools cannot identify root causes of application performance issues or provide specific steps to solve them. IT teams are still looking at their virtual infrastructures in individual operational silos – compute, application, storage, and network. They are using multiple tools to gather information about each silo and then piecing the results together manually to devise a theory about the root cause and a strategy for resolution.

Threshold-based Tools and Old-School Approaches

In a recent survey SIOS conducted, 78 percent of respondents are using multiple tools to identify the cause of application performance issues in VMware. Only 20 percent of respondents said the strategies they are using to resolve these issues is completely accurate the first time.

Legacy monitoring tools use threshold-based technology that was originally developed for physical server environments. They help you keep physical components operating within specific parameters, such as CPU utilization, storage latency, and network latency. You manually set the parameter thresholds for every metric you want to monitor in every silo and these tools will alert you every time a threshold is exceeded – often hundreds of times for a single incident.

More Data is Not More Information

In virtual environments, virtual resources share the physical host, storage, and network resources. These components work together in complex interrelationships that often mask the root causes of performance issues. IT pros responsible for each silo have to decipher hundreds of alerts and pinpoint what matters using their subjective opinions and good old trial and error.

Fortunately, new machine learning analytics solutions like SIOS iQ use deep learning techniques to look across the silos, factor in the interrelationships of virtual resources, and identify the root causes of application performance issues. They use predictive analytics technology to identify the issues that will cause performance issues in the future so you can avoid them. They provide a degree of automation, precision, and accuracy that humans with threshold-based tools cannot approximate.

Machine Learning Analytics Eliminates Trial and Error

Machine learning analytics tools tell you how to resolve the issues. You don’t need to weed through hundreds of alerts or compare dashboards filled with charts to diagnose the problem. You get the info you need without the expertise of a data scientist. With machine learning analytics, there is no need for data selection, modeling, preparation, extraction or configuration is necessary. SIOS iQ tells IT which infrastructure anomalies are important and which are minor so they can prioritize their valuable time.

With new and advanced machine learning and deep learning tools, IT teams can move from a reactive to proactive state. That means you can spend more time innovating and less time on trial-and-error.

Filed Under: Blog posts Tagged With: #ML, IT Analytics, Machine Learning

IT Analytics for VMware: 5 Ways to Learn More About What Machine Learning Based Analytics Can Do for You

October 12, 2016 by Margaret Hoagland Leave a Comment

1. See Machine Learning IT Analytics in Action: Visit the SIOS Booth #307 at the 2016 PASS Summit Conference October 25-28th at
Washington Convention Center, Seattle, WA. Experience the power of SIOS iQ Machine Learning IT Analytics through an interactive demonstration using a Hololens augmented
reality headset. Learn more.

IT analytics with SIOS iQ machine learning based analytics

 2.  Attend the PASS the Bacon Breakfast panel discussion at PASS Summit on Thurs, October 25 at 6:50 AM. Hear experts David Klee, Founder Heraflux Technologies, Denny Cherry, principle, DC&AC, SQL expert Geoff Hiten, and others discussing techniques for improving SQL performance in VMware environments. and Registration required: click here for tickets.

3.  Visit the SIOS booth at VMUG Boston on November 3 at the Boston Hynes Convention Center, 900 Boylston Street, Boston, MA 02115. See SIOS iQ in action and enter to win our raffle. Learn more here.

4.  Attend our upcoming webinar: Save Big by Right Sizing Your SQL Server VMware Environment
October 20, 2016 at 1:00 PM ET, 10 AM PT
According to leading analysts, companies are overprovisioning VMware environments by as much as 80%, wasting tens of thousands of dollars annually in unnecessary server and storage acceleration hardware, VMware and application licenses, and capacity. Under-provisioning is equally problematic – causing performance issues and, putting failovers (and critical applications that rely on them) at risk. Join this webinar to learn simple techniques for ensuring you have the performance and capacity your business needs without over provisioning. Find out how to quickly determine how to strike the perfect balance to right size your VMware environment while optimizing SQL Server performance. Learn about new machine learning based analytics tools that can provide you with a clear breakdown of your current environment (vMem, vCPU, hosts, and more) and recommendations for a fully optimized environment with a detailed calculation of the savings.
Click here for more information and to register

5.  Attend All Things Open (October 25-27th) at Raleigh Convention Center, Raleigh, NC.
Hear SIOS CTO, Sergey Razin, Ph.D., present “Open Source: Transforming Machine Learning and AI” at 11:30 AM on October 26th.

 

Filed Under: Blog posts, News and Events Tagged With: IT Analytics, virtual

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