According to experts, virtual environments are over-provisioned by as much as 80%. IT is wasting tens of thousands of dollars a year on hardware, software, and IT time that doesn’t benefit the company. Without an effective way to see across the virtual infrastructure silos and into the interactions between components, IT is blind-sided by performance issues, capacity over-runs, and other unexpected consequence. As more important applications are being moved into virtual environments, the pressure is even greater to deliver uninterrupted high performance and any cost. This limited view into virtual infrastructures is also causing IT to keep unnecessary snapshots, rogue VMDKs, and idle VMs. In this webinar, ActualTech Founder and noted vExpert, David Davis and SIOS’s director of product management, Jim Shocrylas discuss simple solutions to right-sizing virtual environments that are possible with machine learning based analytics.
Join this webinar to learn how machine learning based analytics solutions are delivering the precise, accurate information you need to right size your virtual environment without risking performance or availability.
Watch a demonstration of a machine learning based analytics tool about how to eliminate application performance issues, configure virtual resources for optimal performance and efficiency, and forecast performance requirements.
- vSphere Admin challenges and solutions
- Complex relationships and how to identify root cause
- Identify wasted resources and recouped costs
- Machine learning and how it can help you
- What VMs/Apps need SSD caching and what kind
- Prevent problems before they happen and quickly solve them if they ever do