‘Machine Learning Optimizes Performance in Virtual Environments’ White Paper
Virtual environments have rapidly become common in today’s data centers. While they are essential to business application management, they have outpaced the conventional approach to data center optimization. These new environments are too complex for traditional IT silos, and as a result, IT managers’ time is spent finding and fixing application performance issues, rather than focusing on core business objectives such as staying agile, cost-effective and responsive to customer needs.
According to our recent survey of more than 500 IT pros working in virtual environments, 78 percent reported that they have to use multiple analytics tools to identify the root cause of application performance issues. There is a glaring need for a new approach that uses machine learning and deep learning analytics platforms to instantly provide the correct information that IT needs to understand and problem solve in these complex environments. This is where SIOS iQ comes in.
Imagine if IT was able to look across silos at the full infrastructure “stack” to find the root cause of application performance problems and then make recommendations on how to avoid the problems in the future. With SIOS iQ’s machine learning analytics platform, IT teams receive accurate information and insights that empower them to move from a reactive to a proactive mode.
This whitepaper will delve into the following topics:
- How to empower the modern IT team through precision, automation and accuracy
- Advanced visualization and noise elimination
- Creating strategic business value with machine learning analytics
- SIOS iQ’s key features and capabilities
Read the entire article here, White Paper Machine Learning Optimizes Performance in Virtual Environments
via the fine folks at SIOS.