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Foglight Evolve 9.0 - Dashboard Support Guide

Viewing Module Definition Statistics

A view can be a page, dashboard, home page, or have a combination of these purposes. For each module, the list shows the numbers of views that are defined as pages, reports, dashboards, home pages, global actions, pages (only), and the total number of views. The ratio of different view purposes in a module can reflect its complexity given its number of home pages, dashboards, and reports. It can also give you an idea on the work required to develop and maintain a module.

The Statistics tab on the Definition Statistics dashboard displays a summary of how views are used in individual modules or sub-modules.

Figure 4. Statistics tab

In the Module Selector, select all modules and sub-modules whose view definition statistics you want to see.
To return to the Development Tools page, click Development Tools in the breadcrumb trail.

Viewing and Managing Persistence Storage Usage

The Persistence Storage Usage dashboard allows you to view the amount of data persisted to the database for each individual dashboard, and the size of these data blocks. For each data block, it shows its size and the date and time it was last modified. You can delete these data blocks to restore the dashboards to their original state, as required. Data blocks are stored in the database. Sorting them by size tells you which data blocks are utilizing highest amounts of database resources which may affect the overall database performance, and delete them, as required, to improve the database performance.

Getting Started

To access this dashboard, on the Development Tools page, click Persistence Storage Usage.

On the Development Tools page, click Persistence Storage Usage.
The Confirm File(s) Delete dialog box appears.
To return to the Development Tools page, click Development Tools in the breadcrumb trail.

Validating Data Sources

A data source contains information that is displayed in Foglight®. This information is stored in data objects as object properties. A data source encapsulates all the system knows about the collected data. It is organized as a dynamic graph of object types, starting from a root that represents the entire data model. The Data Source Validation dashboard allows you to select a data source and check if that data source has a root, and that the root type has properties defined. Detecting and solving data source problems early on can prevent problems in the browser interface. If any errors are found on the data source, they appear in the list. For each error, the list shows its type and the error description. The overall data source validation result also appears on the dashboard. Use this information to improve data source definitions as you develop. Warning messages usually appear for information purposes only, to indicate a non-fatal conditions. Unlike fatal messages, they do not prevent the data source from being validated.

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