Reduce the purchasing and operational costs of the IT datacenter infrastructure while protecting service levels, by increasing visibility and control, right-sizing hardware, and rebalancing workloads and applications.
By assessing exactly what is necessary for your SAN and z/OS environment to provide adequate service, you ensure that you are spending only on options that truly support your business needs, without endangering service levels. By understanding exactly what is going on inside your infrastructure, purchases can often be postponed by rebalancing on existing hardware. When it turns out that a purchase is necessary, being in control makes it possible to take informed decisions without having to rely on hardware vendor’s statements.
IntelliMagic Vision’s continual, daily detection of configuration errors, imbalances and bottlenecks in your SAN and z/OS datacenters prevents premature hardware investments. It also prevents pricey emergency purchases while at the same time protecting safety margins much better than by oversizing. IntelliMagic identifies underutilized components and opportunities for cost reduction based on where applications could run.
For new storage purchasing projects, IntelliMagic can act as your independent advisor. Using IntelliMagic Direction, a software product that is based on 25 years of experience with predictive modeling of storage environments, IntelliMagic can help you pick the best value for money given your service level requirements, instead of having to rely on vendor statements or artificial benchmark data.
For z/OS mainframe environments, IntelliMagic has a brand new services offering that identifies large software cost reduction opportunities.
IntelliMagic at SHARE Pittsburgh
A look back at SHARE Pittsburgh with links to all of the presentations and sessions we hosted.
z/OS Performance Monitoring and more at SHARE Phoenix
A look back at SHARE Phoenix with links to all of the presentations and sessions we hosted.
White Box Analysis Vs. Black Box Statistical Performance Analysis
White box analysis uses built-in expert knowledge about z/OS metrics and the z/OS infrastructure to detect absolute issue violations and derive true intelligence for predictive and prescriptive insights.