Below is a list of the key features that you have access to as a user of Capacity Planner. Each of these combine to deliver a unique and unprecedented level of visibility into your Hybrid IT estate. A key benefit of SaaS delivery means that these features are enhanced and extended with no need for on-site updates or patching.
|Baseline Model||A daily updating 3 month rolling window summarisation of utilisation across your entire estate. Using an intuitive visualisation and color code, you can quickly identify areas where capacity is either most constrained or over-provisioned. A default baseline view is created for each user showing Data Centers, Clusters, Hosts and Virtual Machines. The default time period for the baseline model is 3 months, however, this can be changed should a longer or shorter modelling duration be required.|
|Baseline Views||Using discovered or user-imported configuration meta-data, the default baseline view configuration can be changed to filter server and storage components. This allows the user to create dedicated views that present a capacity summary on a subset of the estate. For example, views can be used to create a filtered baseline view visualisation on a per service, application, line of business or customer basis.|
|User Defined Models||Users can also select the time period for which a Baseline View is associated with by creating a new model. This allows the user to create Baseline Views of capacity summaries based on a time period that differs from that used by the Default Baseline.|
|Infrastructure Reports||A suite of detailed configurable reports containing a summary of capacity, headroom for growth and primary constraints for all clusters, physical servers and hosts in a chosen Baseline View and time period. These reports can be branded using corporate logo and color schemes.|
|Service Reports||A suite of detailed configurable reports containing a summary of workloads and virtual machines within a chosen view and time period. For example, Identifying those VMs where the statistical model of resource utilisation during the working day indicates that metrics are spending unacceptable amounts of time above a given threshold. Also contains a summary of capacity events associated with virtual machines for a given view and a detailed inventory breakdown. These reports can be branded using corporate logo and color schemes.|
|Storage Visibility||Visualisations dedicated to datastore, physical and virtual disks. Summarising total provisioned capacity, total demand and allocation. This is summarised on a per Baseline View basis, allowing you to understand storage demand and allocation on a per service, application and line of business perspective.|
|Capacity Events||Analysing trends and patterns in time-series data, projecting growth patterns forward to determine when thresholds will be crossed at some point in the future. Providing confidence interval information and detailed projected time-series. Each metric can be configured with individual thresholds and the training period for the prediction algorithm can also be reduced or lengthened accordingly.|
|VM Drive Events||Detailed capacity projections into individual OS level drive utilisation for virtual machines. Providing the same visibility of Capacity Events, but across every drive used by every virtual machine.|
|Forward Thinking||The ability to model change scenarios on a chosen Baseline View. Support for many change scenario use-cases including Physical – Virtual transformation, Data Center consolidation and migration, hardware refresh, rightsizing, demand inflation, onboarding and growth modelling.|
|API||REST API providing access to Baseline View calculations, metric statistical measures and Capacity Events|
Capacity Planning for Applications
Should you wish to go further and understand the impact of application demand on your response times and performance, these features layering on top of the key Capacity Planner infrastructure features. Each application estate is different and we would work with you to identify the key data sources and use-cases to model as part of an implementation.
|Correlations Dashboards||A suite of dedicated and customised dashboards providing interactive views of key correlations between demand, response times and utilisation of the supporting infrastructure.|
|Application Demand Templates||In product implementation of these correlations, tailored to each application, allowing you to model the impact of change within a Forward Thinking Scenario|