SIOS iQ Machine Learning Analytics identifies root causes of performance issues, improves efficiency of VMware environment
The credit union relies on a business critical banking application running on a cloud-based Windows Server. It accesses a large Oracle database hosted in their VMware environment.
The organization felt that traditional tools are all hard to use. It only gave them a limited “siloed” view of the environment. These tools provide a lot of broad information. However these information did not find the source of problems or recommend ways to solve them.
So the IT department came across SIOS machine learning analytics and set up a trial. SIOS iQ immediately provided a holistic view across all of the silos of the operating status of AllSouth’s entire virtual environment. They commented on the ease of implementing SIOS iQ. The dashboard was so user-friendly and intuitive, and was running in a few minutes. SIOS iQ immediately provided a holistic view across all of the silos of the operating status of AllSouth’s entire virtual environment.
Unexpected Benefits With Machine Learning Approach
Since implementing SIOS iQ, AllSouth’s IT team has used it to address a variety of issues. When a performance issue arises, SIOS iQ instantaneously connects that issue to its source in the infrastructure. The software quickly provides specific recommendations for resolving it. As a result, AllSouth’s IT team solves issues faster without the rework and inefficient trial-and-error process needed with traditional tools.
SIOS iQ’s ability to pinpoint and validate sources of performance issues and to calculate potential cost-savings and performance improvements has had unexpected benefits in communicating with management, other departments, and outside vendors.
By enabling the AllSouth IT staff to visualize the interrelationships of objects in their environment, SIOS iQ’s topological mapping also provides both a key training resource and an invaluable diagnostic tool.
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