SIOS Technology Corp.,
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.