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VMTurbo Operations Manager planning functionality enables you to plan for short-, medium- and long-term fluctuations based on organic growth and environment changes. “What if” planning scenarios can be simulated, allowing you to project the impact of changes to your environment, such as optimizing resource use, increasing workloads using existing assets, refreshing hardware, consolidating data centers, “rightsizing” virtual machines, merging clusters, and more. Projections can be run with and without constraints, and plans can be saved and modified.
Implementing Operations Manager with its add-on Application Extension supports virtualized applications at a more granular level. It discovers and controls resources for applications whether they are running in Windows, Linux or Java virtual machines, load-balanced application farms front-ended by Application Delivery Controllers (such as Citrix NetScaler), or other application types that can be customized through integration with VMTurbo’s APIs. The Application Extension allows Operations Manager to make resourcing decisions for applications with a more fine-grained view regarding the virtual resources the application consumes, the transactions per second it produces, and the real-time performance characteristics at the application layer (response times and latency, for example). Further, the Application Extension adds a layer of prioritization for application workloads to ensure that service levels are met.
Understanding the interdependencies between the virtualization and storage layers is critical in maintaining quality of service and driving utilization efficiency in virtual data centers. Operations Manager coupled with its Storage Extension tackles the costly challenges that server virtualization introduces at the storage layer. It addresses the complexity of managing the relationships between virtual machines and the underlying physical storage, and provides topological views representing storage. Moreover, it understands the physical and logical relationship between virtualized workloads and the storage layer (including array, aggregate/RAID group and volume configurations and policies), so when control actions are taken to the underlying issue is actually remedied versus temporarily moving the problem somewhere else.