Capacity Planner can provide models that display only working days if configured by administrators. This configuration is accessible through the models tab and can show utilization and demand for specific time periods.
Grouping values in Capacity Planner can be changed by providing new values in the properties file. Grouping values cannot be removed via the properties file; contact your technical representative to remove them.
The default baseline time window in Capacity Planner is 84 days but can be adjusted. To change this window, contact your technical representative for proper configuration and management.
Collecting Geneos data is essential for providing input to the ITRS Insights Capacity Planner. This guide walks through the steps required to gather and prepare the necessary data.
The colour scheme in Capacity Planner can be changed using the view menu in the top right corner. You can select from four available colour schemes to customize the display.
Generating a Red, Amber, Green status shows last month’s CPU usage for all VMs in a cluster. Use the Metric Analysis Multi Chart report with CPU and Memory metrics and set thresholds for RAG colors.
Testing DR capacity involves simulating workload migration to the DR environment using the sunburst interface. The model shows capacity sufficiency with visual indicators and provides summaries of capacity breaches and required resources.
Export a list of all changes made in a scenario using a change report or CSV file. Generate a PDF report or export visible model data to CSV for detailed configuration information.
Exporting a model as a CSV allows you to save machine and server data from the sunburst view. Use the baseline menu's export option to generate a CSV file with detailed rows for each visible entity.
Filtering views in Capacity Planner lets you exclude specific grouping values or use filters. You can right-click segments or use the grouping tab options to select or remove values.
The sunburst in Capacity Planner provides summaries of CPU and Memory usage across machines. You can use the right-click 'Summary' menu to view sums, averages, histograms, and detailed metrics for selected workloads.
Cluster HA thresholds in the Clusters report tab default to 1 but can be adjusted higher or lower. To change these thresholds, contact the Capacity Planner technical representative for assistance.
The metric explorer allows viewing all metrics for entities at any hierarchy level on a single screen. It provides options to select entity types, view time series data, and compare two metrics on one chart.
Standard thresholds used in Capacity Planner can be viewed in the Project menu under configuration. These settings cannot be modified directly and require contacting your Capacity Planner technical contact for changes.
Storing a model without refreshing requires creating a baseline view with fixed dates. This snapshot view preserves data by setting a fixed start and end date to prevent updates.
Cloud recommendation rules allow customization of AWS options like location, instance family, network performance, and storage class. These rules can be configured under Recommend > Configure AWS Migration Rules and applied or reset to default settings.
Optimising application costs in the cloud involves identifying high-cost or low-utilisation machines and reviewing instance types and states. Recommendations help pinpoint potential changes, and you can export a list of these suggestions for cost control.
Grouping values are added using a properties file, a CSV with unique entity identifiers. Submit the completed file to your technical contact to add new grouping categories.
The export CSV file contains many columns with specific data fields. Each column name corresponds to detailed descriptions of the exported data.
Entity Type in Capacity Planner reports refers to items with stored metrics used for modeling. These entities include VMs, hosts, clusters, drives, VM files, physical servers, and processes.
The Benchmark tab shows CPU utilization normalized to specint benchmark scores for each chipset in the environment. It uses a reference machine to compare and display CPU demand consistently across different hardware platforms.
The Risk tab shows risk scores indicating the probability of capacity issues if demand increases. It helps identify machines and metrics with high risk by analyzing capacity usage and variance in timeseries data.
A baseline is a model with a time period and statistical summaries called summaries. Creating custom baseline views stores fixed snapshots for reporting and forecasting within selected date ranges.
An entity in Capacity Planner refers to a managed object used in reporting. Entities include physical servers, virtual machines, hosts, network devices, interfaces, disk files, and drives.
Capacity Planner releases updates and new features approximately every month. Release schedules and any required downtime are announced a week in advance on the project page.
Release notes for Capacity Planner are accessible from the project menu page. Users can view and download PDF release notes via a link at the top left of this page.
Red circles around VMs indicate that a configured threshold for a metric has been breached in Capacity Planner. This occurs when expected resource demand exceeds capacity, often due to mixed hardware in a cluster affecting VM performance.
A cluster headroom colour differing significantly from its hosts usually indicates a shared storage constraint. The cluster headroom calculation considers shared storage limits across all hosts, unlike individual host calculations, which assume full shared storage availability.
A blank screen when opening a timeseries in Capacity Planner often indicates automatic logout after inactivity. Reloading the tab will prompt the login screen, allowing you to log in and continue using the product.
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