Pivot Cloud Tables

A pivot cloud table is a compact, two-dimensional table showing the correlation between cloud configuration data. The importance of a pivot cloud table is considered when one exploits the differences among the thousands of records in cloud interconnected computers. A pivot cloud table allows one to compare and detect any variation in the XML settings, in the configuration settings, and in the networking setting of interconnected machines. Once a change is detected, it is possible to expand the pivot cloud table to exploit such a change.

WebSphere® Pivot Cloud Tables

WebSphere® pivot cloud tables are compact two dimensional tables that show the configuration differences between two or more WebSphere machines. These pivot cloud tables are neatly organized and reflect the topological layout of the WebSphere configuration: they are comparative two dimensional reports which assist you in managing your WebSphere cloud data center more securely. By doing delta comparisons of WebSphere configurations, you can instantly detect a variation in its settings. Dalil™ allows you to generate different types of WebSphere® pivot cloud table, allowing you to expand variations by enlisting the elements where differences occur.

The following figure shows the anatomy of a simple WebSphere® pivot cloud table.


The table above shows pivoting of WebSphere® objects by configuration object subject. Dalil™ allows you to generate WebSphere® pivot cloud tables by different subjects. For instance, it is possible to expand the pivot table on a specific object subject to scrutinize the differences in a specific subject matter. Note also that having a different number of objects per machine topological layout, per object identification subject, does not mean that both machines differ on that particular subject. For instance, at the server level, for the "Property" subject, the number of objects is 12 for MA-1 and 36 for MA-2. MA-2 has three servers, hence three times more objects than MA-1 for the server properties objects. Yet, MA-1 and MA-2 match perfectly because Dalil™ normalizes the data while processing the correlation difference between MA-1 and MA-2. For more on the subject of WebSphere® configuration pivot cloud tables, refer to Dalil™.