|

SysTrack Basics: Build a First Dashboard

graphand

With the recent launch of SysTrack 7.0 itโ€™s a perfect time to introduce one of the newest (and best, in my opinion) features: SysTrack Dashboard Builder. Even though itโ€™s currently still just a tech preview itโ€™s fairly feature complete, and there are some cool ways to present and customize data from SysTrack or other sources.

The basic idea is to build a dashboard from some component pieces. You start with a set of data youโ€™d like to work with (e.g. software utilization, health, vCenter system stats, etc. . .), and use this to create a query with the report builder. This then gets connected to a series of presentation tools. You can pick from standard (boring) tabular views, charts of a number of types, heat charts, bubble diagrams, and basically any way youโ€™d care to think of to show some data points.

How to create a software inventory dashboard

To illustrate the process weโ€™ll go step by step through the creation of a basic software inventory dashboard.

The first step is to create a new dashboard.

Give it a name (Iโ€™ll pick Software Inventory because Iโ€™m not a very creative person), and then weโ€™re ready to start dragging objects in. Iโ€™ll start with the Query object:

There are some key areas here:

  1. Name and Description โ€“ Yep
  2. Query โ€“ This is the critical part of the dashboard, and the heart of the entire process. There are a few options (weโ€™ll explore more in later posts), but because Iโ€™m pretty familiar with the data weโ€™re working with here Iโ€™ll just put together a quick query (weโ€™ll cover the report builder later, but itโ€™s pretty easy to work with):
SELECT COUNT(DISTINCT SystemId) AS [System Count], PackageName AS [Package], Version
FROM RPT_Software
WHERE (Flags & 16) = 0 AND Version <> ''
GROUP BY PackageName, Version
ORDER BY COUNT(DISTINCT SystemId) DESC
  1. Connection String โ€“ Here an alternative data source can be specified.
  2. Hierarchy Setup โ€“ Basically a method for developing groupings within the datasets. This will also be covered later.

With this, weโ€™re ready to add in some objects to view the data. Iโ€™ll pick a table and a bar chart:

By dragging in the presentation objects and connecting them to the data source I’veย finished up a basic dashboard. From here I can specify some settings for my chart (column type, what appears on the X-axis, what the title is) and save. This is now a complete dashboard ready for use:

With that we’veย completed a very rudimentary dashboard. Weโ€™ll have some more blogs covering much more detailed nuances of how to work with the Dashboard Builder in the near future, but thatโ€™s all it takes to get started. Give it a shot.

Share to:

Subscribe to Lakeside Updates

Receive product updates, DEX news, and more

Related Posts