SLA Cost Optimization

Save money on monthly hardware and software budget for real-time and batch processing transactions

Mainframe costs are rising and the current economic environment means increased scrutiny of the spending needed to maintain mainframe SLAs. The increasing use of dynamic vendor pricing models makes it very difficult to plan (or even understand) the exact costs associated with maintaining a mainframe SLA. For example a peak usage overage can generate extraordinary monthly charges, underutilization of a parallel sysplex can cancel the discount .This tension has created the need for cost aware real time service monitoring tools – tools that can factor dynamic cost models into the management environment.

ConicIT is the first tool to introduce real time cost aware SLA management to the mainframe. ConicIT aggregates data from multiple monitors – enabling it to collect information from all relevant LPAR’s simultaneously as needed. ConicIT provides a holistic view of the mainframe’s application environment, displaying a dynamic view of each LPAR’s status in relation to the status of the entire machine.

This, together with ConicITs behavioral and predictive capabilities, enables cost-aware SLA management. ConicIT provides much needed real time clarity into how expected computing peaks will affect sub-capacity and other usage based pricing models. ConicIT provides a way to see how predicted usage patterns will affect mainframes costs, enabling a proactive approach to managing capacity related costs.

On-line Capacity Manager

Identifying capacity trends enables IT manages to change workloads in order to navigate demands to off peak hours.

ConicIT provides capacity forecasts 7 days in advance, divided to hours.  By comparing demand to allocated resources, the system pinpoints future performance exceptions including peak hours that should be managed. ConicIT provides real-time alerts when actual demand is higher than expected and indicates the cause of the extra demand.

Providing cross LPAR analytic profiling of system behavior, IT managers can predict demand peaks. Performance is regulated by throttling back non-essential services and giving more of the existing horsepower to essential transactions to reduce the need (and high costs) of using on-demand engines.

Business Benefits:

  • Achieves SLAs and improves business competitiveness
  • Ensures compliance with parallel system licensing requirements
  • Lowers sub capacity pricing costs
  • Decreases mainframe on demand payments

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