The new Capacity Planner user interface is based around React and amCharts, and it brings a fresh look to Capacity Planner and more consistency with the ITRS new Observability Platform, Obcerv.
Standard lists are now used throughout, with a choice of number of rows to display, pagination, and sorting options as well as easier access to Baseline Views, Scenarios and Reports.
This release comes with a new report framework with improved presentation of saved reports and report templates.
The report page now distinguishes more clearly between Reports which can be run immediately to produce output, and Report Templates which require parameters to be set before they can be run. Brief descriptions of each report are now available along with a link to the documentation pages for more information.
Reports that you have created from a template and saved now appear in the Reports section. This section also includes any reports created by other users that have been shared, and standard reports.
Capacity Planner has a number of capabilities and features that allow you to analyse the costs of your cloud environment and see recommendations for their optimization. This is achieved through right-sizing, right-buying, or looking at the recommended savings plans.
New visualisations are also available that help you analyse your data and understand where the recommendations are coming from.
Based on baseline analysis, Capacity Planner provides automatic recommendations for improvements in the configuration of machines currently active in your IT estate. This includes right-sizing recommendations, target vCPU configurations, hardware deployment in clusters, storage reduction and suggestions for machines that should be disabled.
This is fully configurable allowing you to set up activity threshold settings and minimum configuration for right-sizing.
Capacity Planner automatically suggests cloud instance configurations in AWS scoped to a baseline view, taking optimal capacity configuration into consideration in order to effectively reduce costs. It looks at all the active machines that are currently visible in your sunburst view and determines the closest and cheapest match for each virtual machine. Depending on your use case, you can change the recommendation rules.
