ActualTech Media and SIOS Webinar: Using Machine Learning Analytics to Resolve Performance Issues in VMware Environments
SIOS Technology Corp. (www.us.sios.com), the industry’s leading provider of software products that help IT ensure the performance, efficiency, and high availability protection of business critical applications, today announced it will co-host a live one-hour webinar featuring ActualTech Media Partner and VMware vExpert Scott D. Lowe who will show how using new machine learning based analytics tools can resolve application performance issues in virtualized environments.
Titled, “Machine Learning Analytics for Immediate Resolution to the Most Challenging Virtualization Issues,” this webinar will be held on Thursday, April 28 at 10:00 AM PDT / 1:00 PM EDT. To register, please visit here.
In a typical scenario, end-users complain about an application performance issue that is keeping them from getting their jobs done. The IT team has deployed numerous well-proven monitoring and analytics tools for their VMware vSphere and storage environments and the network. IT staff is inundated with alerts, false positives, and data points without a guidance or recommendations for resolving the issue. The network, application, and infrastructure experts may disagree about who is responsible for the issue.
In this webinar, Scott Lowe, VMware vExpert, will explain how using new machine learning based analytics tools can provide answers to commonly asked questions, including:
- Where do you even start in your troubleshooting efforts?
- How do you identify the root cause of your performance issue and devise an effective strategy for resolving it?
At the conclusion of this webinar, attendees will:
- Understand the key performance troubleshooting challenges facing IT managers in VMware environments.
- Identify key reasons they may not be leveraging their infrastructure as efficiently as possible.
- Learn the best practices strategy for responding to performance issues in VMware environments that aligns staff, infrastructure, and monitoring/management resources.
- Understand the importance of using machine learning based IT analytics as a first place to go to resolve performance issues.
- See a demonstration of how a machine learning based solution instantaneously identifies the root causes of performance issues, recommends solutions, and predicts the outcomes of recommendations.
About the Speaker
Scott is co-founder of ActualTech Media and serves as senior content editor and strategist. Scott is an enterprise IT veteran with close to twenty years’ experience in senior and CIO roles across multiple large organizations. A 2015 VMware vExpert Award winner, Scott is also a micro-analyst for Wikibon and an InformationWeek Analytics contributor. Scott has written thousands of reviews, articles and technical blog posts, in addition to hosting well-attended webinars and Google Hangouts. Because of his unique blend of skills (CIO/strategic & Engineer/tactical), Scott is also a sought-after resource for producing marketing collateral, including technical white papers and e-books for a variety of Fortune 100 technology firms.
About ActualTech Media
ActualTech Media delivers authoritative content campaigns and assets for top IT companies across the globe. Leading IT industry influencers and partners develop trusted, 3rd-party content designed to educate, convince and convert IT buyers.
About SIOS Technology Corp.
SIOS Technology Corp. makes software products that provide the insights and guidance IT managers need to manage and protect business critical applications in large, complex data centers. SIOS iQ is a machine learning analytics software that helps IT managers optimize performance, efficiency, reliability, and capacity utilization in virtualized environments. SIOS SAN and SANLess software is an essential part of any cluster solution that provides the flexibility to build Clusters Your Way™ to protect your choice of Windows or Linux environment in any configuration (or combination) of physical, virtual and cloud (public, private, and hybrid) without sacrificing performance or availability. Founded in 1999, SIOS Technology Corp. (http://us.sios.com) is headquartered in San Mateo, California, and has offices throughout the United States, United Kingdom and Japan.