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Use the project dashboard

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As an IT administrator or project manager overseeing EDA workloads, you can use the Project tab to observe and analyze project usage across your FSx for ONTAP file systems and volumes. The dashboard helps you plan capacity, assess costs, and make data-driven decisions about resource allocation. You can create up to five custom filters based on your AWS tags, with options for single or multi-selection, to organize and filter the data according to your specific business requirements such as projects, teams, or applications.

The dashboard provides visibility into storage usage patterns, helping you identify resource-intensive projects, track costs, and optimize storage allocation before capacity or performance issues impact your EDA simulations.

The dashboard helps you monitor storage usage for capacity allocated, capacity used, throughput, and IOPS. For proactive latency performance monitoring, see Monitor volume latency.

The CloudWatch metrics collected include:

  • Provisioned capacity: Volume-level metric representing the provisioned storage capacity.

  • Used capacity: Volume-level metric representing the storage used.

  • Average/Maximum throughput: Calculated as the average or maximum of the sum of DataReadBytes and DataWriteBytes over the specified time period.

  • Average/Maximum IOPS: Calculated as the average or maximum of the sum of DataReadOperations, DataWriteOperations, and MetadataOperations over the specified time period.

Setup the dashboard

Setting up custom filters enables you to view metrics organized by your business structure—such as by project, team, or application. This organization helps you track costs accurately, identify which projects consume the most resources, and make informed decisions about resource allocation and budget planning.

To effectively use the dashboard, configure up to five AWS tags on your FSx for ONTAP volumes based on your business requirements, for example tags that represent projects or business units. For details, see Configure custom filters.

AWS tags are metadata for your AWS resources. They help you categorize your AWS resources in different ways, for example, by project, application, or business unit. For more details about tagging, see What are tags? and AWS Resource Groups Tagging API Reference.

When they are configured, in the Tag configuration page provide the AWS tag key names and the corresponding labels to display in your dashboard.

When these tags are applied, Workload Factory begins collecting and displaying the relevant CloudWatch metrics.

Your dashboard becomes a dynamic tool for organizing, tracking costs, and filtering resources based on your organizational needs.

Configure custom filters

Note Only the first admin user to access the project dashboard can configure, add, or delete custom filters. All other users, including subsequent admins, have read-only access to the filters.

Custom filters allow you to organize your dashboard data according to how your organization operates. By aligning filters with your project structure, teams, or cost centers, you can quickly access the specific data you need without navigating through irrelevant information. This makes capacity planning, cost tracking, and performance monitoring more efficient.

You can configure up to five custom filters based on your AWS tags. Each custom filter requires three components: a filter label name, an AWS tag key name, and a selection type (single or multi-selection). If you don't configure any custom filters, the default filters (file system, volume type, and time range) remain available so you can still view and interact with your dashboards.

  1. Log in using one of the console experiences.

  2. Select the menu The hamburger menu icon is used to navigate to workloads like storage and then select EDA.

  3. Select Project.

    If you have not already configured your dashboard, you are automatically prompted to do so.

  4. Select + Add filters.

  5. For each custom filter you want to create (up to five), provide the following:

    • Filter label name: The display name that appears in the dashboard.

    • AWS tag key name: The AWS resource tag key that corresponds to this filter.

    • Multi-selection: Choose whether this filter allows single selection or multiple selection. When you select Multi-selection, you can select multiple values for this filter simultaneously. Single-selection restricts you to selecting only one value at a time.

      Note Filters appear on the dashboard in the order you configure them. Consider organizing your most frequently used filters first for easier access.

  6. Select Apply.

    You can delete a custom filter by selecting the trash icon next to that filter before applying your changes.

  7. To view your changes after applying any tags or filters, select the refresh icon on the dashboard. The dynamic dashboard, configured with the new filters, is displayed in your EDA projects dashboard.

  8. To edit the dashboard configuration later, select Configure.

Filter the dashboard

Filtering helps you focus on specific subsets of your storage resources, making it easier to analyze trends, identify issues, and generate reports for stakeholders. By combining multiple filters, you can answer specific business questions like "How much storage is my ASIC project team using?" or "Which volumes in the US-West region have the highest IOPS?"

You can filter the information displayed on the dashboard using a combination of default filters and any custom filters you created.

The following default filters are always available:

  • Credentials

  • Region

  • File system

  • Volume type

  • Time range

Custom filters you configure appear on the dashboard in addition to these default filters. When using filters:

  • Multi-selection filters allow you to select multiple values simultaneously to broaden your view. For example, you might select multiple projects to view combined metrics.

  • Single-selection filters restrict you to selecting only one value at a time, useful when you need to focus on a specific resource or category.

When you have selected your required filters, select the refresh icon to update the dashboard information.

For an explanation of the information shown on a card, select the information icon for that card.

View volume details

Understanding both aggregated and individual volume performance helps you make informed decisions about capacity planning and performance optimization. The Total view shows overall trends, while the Volume view helps you identify specific volumes that may need attention, optimization, or additional resources.

The dashboard provides two viewing modes to help you analyze your storage metrics: Total view and Volume view. You can switch between these modes using the tabs available on the dashboard.

Total view

The Total view (default) displays aggregated metrics across all volumes that match your selected filters. This view provides a high-level overview of your overall storage performance, showing combined capacity, IOPS, and throughput metrics. Use this view to understand overall trends, plan for future capacity needs, and report on total resource consumption across projects or teams.

Volume view

The Volume view displays individual volume performance over time, showing the top 10 volumes for each metric. This view helps you identify specific volumes that are driving resource usage and observe their behavior over the selected time period. Use this view to find performance bottlenecks, identify volumes that may need rightsizing, or pinpoint which specific projects or workloads are consuming the most resources.

To switch to the Volume view, select the Volume tab on the dashboard.

Volume metrics displayed

When you select the Volume view, the dashboard displays the top 10 volumes out of your total number of volumes. * Volume used capacity: Shows volumes with the highest current used capacity. * IOPS: Shows volumes with the highest average IOPS during the selected time period. * Throughput: Shows volumes with the highest average throughput during the selected time period.

Note The dashboard displays only the top 10 volumes for each metric. If you have more than 10 volumes, some volumes might not be displayed in the detailed view.

When the same volumes appear across Volume used capacity, IOPS, and Throughput metrics, the dashboard uses consistent color coding in the legend to make it easier to track specific volumes across different metrics.

The horizontal axis displays the time range, while a legend shows all volumes (up to 10) represented in the graph.

Interactive volume data

Interactive hover data provides precise metrics at specific points in time, helping you correlate performance changes with specific events or timeframes. This detailed information is valuable for troubleshooting performance issues, validating optimization efforts, or explaining resource usage patterns to stakeholders.

You can hover over any volume line in the graphs to view detailed information:

Volume used capacity: Displays the volume name, used capacity at that point in time, and allocated capacity.

IOPS: Displays the volume name, average IOPS for the time range, and maximum IOPS for the time range.

Throughput: Displays the volume name, average throughput for the time range, and maximum throughput for the time range.

This interactive data helps you analyze volume performance patterns and identify potential bottlenecks or optimization opportunities.