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TrueSight Capacity Optimization 10.3 is this example but this works with other versions as well.


In this example, we will use CPU a percentage metric, and compare that against CPU RunQueue a count metric. However, this can be done with any two metrics of any two types.


Adapting this slightly, you can change the 'line type' on each of the metrics on a chart, in the "Metric Style" section of the edit screen.


This technique can be combined with other techniques to great effect.  I personally like the second Y axis to be a bold blue color and prefer dots instead of lines.  Saving your 'favorite' as a template allows for the quick reuse of the design choices made.


Feel free to add your comments and suggestions, and favorite charting design choices.

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We have a view in BCO 9.5 that our super fabulous friends at Moviri helped us with.  It goes from filterable list of internal applications and services, to a server list, to a server with its metrics, in three clicks.  This method has been adapted for other views to directly support providing actionable intelligence to a host of consumers.


The basics are:  BMC Atrium and CMDB assemble assets into our internal applications and services. These associations are provided to BCO and form a tree.  There are configuration metrics, and other inputs that inform a number of tags that are assigned to the assets, and the domain objects that form the structure of the tree. We have many dozens of internal applications and services in our tree, including BCO.

With the tree in place, associations to devices made, associations to business drivers made, monitoring data in place, tags in place, and some well thought out charts, we are ready to build the view.


On the View Tab [1], there are a number of basic review views [2].  Our overview report is the 'Application Dashboard' [3].  The first tab shows an overview[4], which shows filterable lists which are based on tags.  The business value chain listing is groupings that support a line of business or interest [5], and an application association tag [6].  These set one output varable that informs the overview report on the right of the page [7].


The filtered list, is created to show applications and services of interest, the count of systems included (there are filters that allow for only production devices, or only test etc.), and the worst metric for one of the servers associated to that application.  When one of these catch your attention as needing investigation, clicking the name takes you to the application detail tab [8], where the devices are listed, again with their individual overall (last seven days) metrics.  Clicking the device name takes you to the system details tab [9] where a host of charts show the history of the metrics for that device.


Screen 8 from above, a list of devices supporting the application, with metrics of interest to this customer.

Screen 9 from above, the individual device metrics over time (note the time filter).  These chats are combinations of metrics used to point to problem areas as defined by the customer. Note that the same metrics can be used in multiple charts. When there is no data for that particular device, the report box shows as no data.


This set of tools and techniques have been the source of a number of pieces of actionable intelligence.  An odd 'reading' on the overview page can be pursued to the 'offending' device in three clicks.


The guts that make this work: Tags that write variables to the view,  a staging table with the metrics, and a SQL query informed by the tags that summarize the data for the overview tab.  The views are quick, as they come from the staging table.  As new customers arrive with their own interests, the same staging table data can be displayed in different combinations for that customer.  We find that one or two additional metrics are needed for a view which is added to the staging table.  Creative use of charts and combinations of metrics, can direct attention to 'hidden actionable intelligence'.  It is just waiting for you to find it, and take action.

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